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Yao Y, Guo D, Lu TS, Liu FL, Huang SH, Diao MQ, Li SX, Zhang XJ, Kosten TR, Shi J, Bao YP, Lu L, Han Y. Efficacy and safety of psychedelics for the treatment of mental disorders: A systematic review and meta-analysis. Psychiatry Res 2024; 335:115886. [PMID: 38574699 DOI: 10.1016/j.psychres.2024.115886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/14/2024] [Accepted: 03/27/2024] [Indexed: 04/06/2024]
Abstract
We aim to systematically review and meta-analyze the effectiveness and safety of psychedelics [psilocybin, ayahuasca (active component DMT), LSD and MDMA] in treating symptoms of various mental disorders. Web of Science, Embase, EBSCO, and PubMed were searched up to February 2024 and 126 articles were finally included. Results showed that psilocybin has the largest number of articles on treating mood disorders (N = 28), followed by ayahuasca (N = 7) and LSD (N = 6). Overall, psychedelics have therapeutic effects on mental disorders such as depression and anxiety. Specifically, psilocybin (Hedges' g = -1.49, 95% CI [-1.67, -1.30]) showed the strongest therapeutic effect among four psychedelics, followed by ayahuasca (Hedges' g = -1.34, 95% CI [-1.86, -0.82]), MDMA (Hedges' g = -0.83, 95% CI [-1.33, -0.32]), and LSD (Hedges' g = -0.65, 95% CI [-1.03, -0.27]). A small amount of evidence also supports psychedelics improving tobacco addiction, eating disorders, sleep disorders, borderline personality disorder, obsessive-compulsive disorder, and body dysmorphic disorder. The most common adverse event with psychedelics was headache. Nearly a third of the articles reported that no participants reported lasting adverse effects. Our analyses suggest that psychedelics reduce negative mood, and have potential efficacy in other mental disorders, such as substance-use disorders and PTSD.
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Affiliation(s)
- Yuan Yao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Dan Guo
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Tang-Sheng Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Fang-Lin Liu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Shi-Hao Huang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Meng-Qi Diao
- School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Su-Xia Li
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China
| | - Xiu-Jun Zhang
- School of Psychology, College of Public Health, North China University of Science and Technology, Tangshan 063210, Hebei Province, China
| | - Thomas R Kosten
- Department of Psychiatry, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China.
| | - Lin Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences (No.2018RU006).
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing 100191, China.
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Lin TY, Jia JS, Luo WR, Lin XL, Xiao SJ, Yang J, Xia JW, Zhou C, Zhou ZH, Lin SJ, Li QW, Yang ZZ, Lei Y, Yang WQ, Shen HF, Huang SH, Wang SC, Chen LB, Yang YL, Xue SW, Li YL, Dai GQ, Zhou Y, Li YC, Wei F, Rong XX, Luo XJ, Zhao BX, Huang WH, Xiao D, Sun Y. ThermomiR-377-3p-induced suppression of Cirbp expression is required for effective elimination of cancer cells and cancer stem-like cells by hyperthermia. J Exp Clin Cancer Res 2024; 43:62. [PMID: 38419081 PMCID: PMC10903011 DOI: 10.1186/s13046-024-02983-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND In recent years, the development of adjunctive therapeutic hyperthermia for cancer therapy has received considerable attention. However, the mechanisms underlying hyperthermia resistance are still poorly understood. In this study, we investigated the roles of cold‑inducible RNA binding protein (Cirbp) in regulating hyperthermia resistance and underlying mechanisms in nasopharyngeal carcinoma (NPC). METHODS CCK-8 assay, colony formation assay, tumor sphere formation assay, qRT-PCR, Western blot were employed to examine the effects of hyperthermia (HT), HT + oridonin(Ori) or HT + radiotherapy (RT) on the proliferation and stemness of NPC cells. RNA sequencing was applied to gain differentially expressed genes upon hyperthermia. Gain-of-function and loss-of-function experiments were used to evaluate the effects of RNAi-mediated Cirbp silencing or Cirbp overexpression on the sensitivity or resistance of NPC cells and cancer stem-like cells to hyperthermia by CCK-8 assay, colony formation assay, tumorsphere formation assay and apoptosis assay, and in subcutaneous xenograft animal model. miRNA transient transfection and luciferase reporter assay were used to demonstrate that Cirbp is a direct target of miR-377-3p. The phosphorylation levels of key members in ATM-Chk2 and ATR-Chk1 pathways were detected by Western blot. RESULTS Our results firstly revealed that hyperthermia significantly attenuated the stemness of NPC cells, while combination treatment of hyperthermia and oridonin dramatically increased the killing effect on NPC cells and cancer stem cell (CSC)‑like population. Moreover, hyperthermia substantially improved the sensitivity of radiation‑resistant NPC cells and CSC‑like cells to radiotherapy. Hyperthermia noticeably suppressed Cirbp expression in NPC cells and xenograft tumor tissues. Furthermore, Cirbp inhibition remarkably boosted anti‑tumor‑killing activity of hyperthermia against NPC cells and CSC‑like cells, whereas ectopic expression of Cirbp compromised tumor‑killing effect of hyperthermia on these cells, indicating that Cirbp overexpression induces hyperthermia resistance. ThermomiR-377-3p improved the sensitivity of NPC cells and CSC‑like cells to hyperthermia in vitro by directly suppressing Cirbp expression. More importantly, our results displayed the significantly boosted sensitization of tumor xenografts to hyperthermia by Cirbp silencing in vivo, but ectopic expression of Cirbp almost completely counteracted hyperthermia-mediated tumor cell-killing effect against tumor xenografts in vivo. Mechanistically, Cirbp silencing-induced inhibition of DNA damage repair by inactivating ATM-Chk2 and ATR-Chk1 pathways, decrease in stemness and increase in cell death contributed to hyperthermic sensitization; conversely, Cirbp overexpression-induced promotion of DNA damage repair, increase in stemness and decrease in cell apoptosis contributed to hyperthermia resistance. CONCLUSION Taken together, these findings reveal a previously unrecognized role for Cirbp in positively regulating hyperthermia resistance and suggest that thermomiR-377-3p and its target gene Cirbp represent promising targets for therapeutic hyperthermia.
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Affiliation(s)
- Tao-Yan Lin
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Department of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jun-Shuang Jia
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Wei-Ren Luo
- Cancer Research Institute, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen Third People's Hospital, Shenzhen, 518112, China
| | - Xiao-Lin Lin
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510315, China
| | - Sheng-Jun Xiao
- Department of Pathology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Jie Yang
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Department of Imaging, Central Hospital of Shaoyang, Shaoyang, 422000, China
| | - Jia-Wei Xia
- The Third People's Hospital of Kunming (The Sixth Affiliated Hospital of Dali University), Kunming, 650041, China
| | - Chen Zhou
- Department of Pathology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China
| | - Zhi-Hao Zhou
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Shu-Jun Lin
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Qi-Wen Li
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Zhi-Zhi Yang
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Ye Lei
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Wen-Qing Yang
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China
| | - Hong-Fen Shen
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Shi-Hao Huang
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Sheng-Chun Wang
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
- Department of Pathology, School of Basic Medicine, Guangdong Medical University, Dongguan, 523808, China
| | - Lin-Bei Chen
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China
| | - Yu-Lin Yang
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China
| | - Shu-Wen Xue
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Yong-Long Li
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Guan-Qi Dai
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Ying Zhou
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Ying-Chun Li
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Fang Wei
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Xiao-Xiang Rong
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guang‑zhou, 510515, China
| | - Xiao-Jun Luo
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510315, China
| | - Bing-Xia Zhao
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Wen-Hua Huang
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, National Key Discipline of Human Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
- Guangdong Medical Innovation Platform for Translation of 3D Printing Application, The Third Affiliated Hospital of Southern Medical University, Southern Medical University, Guangzhou, 510000, China.
- Orthopaedic Center, Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, 524001, China.
| | - Dong Xiao
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangzhou Southern Medical Laboratory Animal Sci.&Tech. Co.,Ltd, Guangzhou, 510515, China.
- National Demonstration Center for Experimental Education of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
- Department of Stomatology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
| | - Yan Sun
- Laboratory Animal Management Center, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
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Yang YP, Hsin HT, Wang BL, Wang YC, Yu PC, Huang SH, Chung RJ, Huang YC, Tung TH. Gender differences in oral health among prisoners: a cross-sectional study from Taiwan. BMC Oral Health 2023; 23:900. [PMID: 37990212 PMCID: PMC10662814 DOI: 10.1186/s12903-023-03598-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/30/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND The prevalence of oral diseases among Taiwanese prisoners has rarely been investigated. This study aimed to estimate the gender-specific prevalence of oral disease in a sample of Taiwanese prisoners. METHODS We included 83,048 participants from the National Health Insurance (NHI) Program. Outcomes were measured using the clinical version of the International Classification of Diseases, Ninth Revision (ICD-9-CM). For prevalence, we provide absolute values and percentages. We also performed a χ2 test to assess sex and age group differences in the percentage of disease in the oral cavity, salivary glands, and jaw. RESULTS The prevalence rate of oral diseases was 25.90%, which was higher than that of the general population. The prevalence of oral diseases in female prisoners was higher than that in male prisoners (p < 0.001), and the prevalence of oral diseases in prisoners aged ≤ 40 was higher than that of prisoners aged > 40. Among all cases of diagnosed oral diseases, the top three diseases were dental hard tissue diseases (13.28%), other cellulitis and abscesses (9.79%), and pruritus and related conditions (2.88%), respectively. The prevalence of various oral diseases in female prisoners was significantly higher than that in male prisoners. CONCLUSION Oral disease is common among Taiwanese prisoners. Female prisoners had a higher prevalence of oral, salivary gland, and jaw diseases than male prisoners. Therefore, early prevention and appropriate treatment are required and also a need for gender-specific oral disease products given the differences in the prevalence of oral disease among male and female prisoners.
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Affiliation(s)
- Yu-Pei Yang
- Department of Hematology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China
| | - Ho-Tsung Hsin
- Department of Critical Care Medicine, Cardiovascular Intensive Care Unit, Far-Eastern Memorial Hospital, New Taipei City, 10602, Taiwan
- Department of Mechanical Engineering, Yuan Ze University, Taoyoung, 32003, Taiwan
| | - Bing-Long Wang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Yen-Chun Wang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
| | - Pi-Ching Yu
- Department of Critical Care Medicine, Cardiovascular Intensive Care Unit, Far-Eastern Memorial Hospital, New Taipei City, 10602, Taiwan
| | - Shi-Hao Huang
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Yao-Ching Huang
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan.
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan.
- School of Management, Putian University, Putian, 351200, China.
| | - Tao-Hsin Tung
- Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China.
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Melnikov MY, Shakirov AA, Shashkin AA, Huang SH, Liu CW, Kravchenko SV. Spin independence of the strongly enhanced effective mass in ultra-clean SiGe/Si/SiGe two-dimensional electron system. Sci Rep 2023; 13:17364. [PMID: 37833499 PMCID: PMC10575913 DOI: 10.1038/s41598-023-44580-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/10/2023] [Indexed: 10/15/2023] Open
Abstract
The effective mass at the Fermi level is measured in the strongly interacting two-dimensional (2D) electron system in ultra-clean SiGe/Si/SiGe quantum wells in the low-temperature limit in tilted magnetic fields. At low electron densities, the effective mass is found to be strongly enhanced and independent of the degree of spin polarization, which indicates that the mass enhancement is not related to the electrons' spins. The observed effect turns out to be universal for silicon-based 2D electron systems, regardless of random potential, and cannot be explained by existing theories.
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Affiliation(s)
- M Yu Melnikov
- Institute of Solid State Physics, Chernogolovka, Moscow District, 142432, Russia
| | - A A Shakirov
- Institute of Solid State Physics, Chernogolovka, Moscow District, 142432, Russia
| | - A A Shashkin
- Institute of Solid State Physics, Chernogolovka, Moscow District, 142432, Russia
| | - S H Huang
- Department of Electrical Engineering and Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, 106, Taiwan
| | - C W Liu
- Department of Electrical Engineering and Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, 106, Taiwan
| | - S V Kravchenko
- Department of Physics, Northeastern University, Boston, MA, 02115, USA.
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Stutheit-Zhao E, King I, Huang SH, Rey-McIntyre K, Cho J, Eng L, Hahn E, Hosni A, Kim J, Tadic T, McNiven AL, McPartlin A, Ringash JG, O'Sullivan B, Siu LL, Spreafico A, Tsai CJ, Waldron J, Hope AJ, Bratman SV. Plasma EBV DNA in Nasopharyngeal Cancer (NPC) Treated with Definitive Radiotherapy (RT). Int J Radiat Oncol Biol Phys 2023; 117:e627-e628. [PMID: 37785875 DOI: 10.1016/j.ijrobp.2023.06.2019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) EBV DNA has well-studied roles in NPC including early detection and surveillance. There are limited North American data on EBV DNA testing. Our center has used EBV DNA testing since 2010. We hypothesized: (1) higher first post-RT EBV DNA level is associated with worse prognosis, and (2) surveillance EBV DNA is specific for recurrence at a low detection threshold. MATERIALS/METHODS We retrospectively reviewed all patients with non-metastatic (TNM-7 stage I-IVB) NPC treated with definitive RT/chemoRT (CRT) ± adjuvant chemotherapy (AC) between 2010-2017. EBV DNA was assayed by quantitative PCR in a CAP/CLIA-certified laboratory and reported in copies/mL of plasma. Pre-RT is defined as 0-90 days before the first RT fraction and post-RT within one year after RT. We report log odds ratios (LOR) from a linear model of T- and N-category with log-adjusted EBV DNA as the response variable. Survival outcomes were analyzed with log-rank tests and Cox multivariate analyses (MVA) adjusted for age, stage, and treatment, reporting hazard ratios (HR). A total of 95% confidence intervals of LOR and HR are reported. The detection threshold that maximized the F1 accuracy score was considered optimal. RESULTS Of 271 patients in the study window, 179 had pre-RT +/- post-RT EBV DNA testing. Six received RT, 43 CRT, and 130 CRT+AC. With 7-yr median follow-up, 37 recurred and 37 died. Detectable pre-RT EBV DNA was found in 154 (86%) with a median of 928 copies/mL (range: 1-239214). EBV DNA level correlated with higher N category (LOR: 0.28, 0.15-0.42, p<0.001), but not T category (0.04, -0.06-0.13, p = 0.5). Above-median pre-RT EBV DNA was associated with worse recurrence-free survival (RFS) by log-rank test (p = 0.016) and Cox MVA (HR: 2.2, 1.1-4.8, p = 0.03) along with N category, age, and no AC. Post-RT EBV DNA was available in 99 patients at a median of 54 days. RFS, progression-free survival (PFS), and overall survival (OS) were worse in patients with detectable post-RT EBV DNA (Table). RFS and PFS drop further to 20% if EBV DNA was detectable after the full treatment (RT±AC, n = 71). In Cox MVA, post-RT EBV DNA remained independently prognostic (Table). EBV DNA was performed within 30 days of recurrence in 30 patients, and 24 were detectable (80% sensitivity). Conversely, of 152 patients without recurrence and at least 3-yr follow-up, 95 had post-RT EBV DNA testing and 84 were undetectable (88% specificity). An EBV DNA threshold of 31 copies maximized F1 accuracy metric, yielding 74% sensitivity and 97% specificity. CONCLUSION Pre-RT EBV DNA is prognostic and associated with higher N-category. Post-RT EBV DNA is a strong, independent predictor of RFS, PFS, and OS; 31 copies/mL may be a useful threshold to detect recurrence.
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Affiliation(s)
| | - I King
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
| | - S H Huang
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - L Eng
- Department of Medical Oncology and Haematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - E Hahn
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Kim
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - T Tadic
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A L McNiven
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A McPartlin
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J G Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - B O'Sullivan
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - L L Siu
- Department of Medical Oncology and Haematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Spreafico
- Department of Medical Oncology and Haematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - C J Tsai
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A J Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - S V Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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Salunkhe RR, O'Sullivan B, Huang SH, Su J, Xu W, Hosni A, Waldron J, Irish J, de Almeida J, Witterick I, Montero E, Gilbert RW, Razak AA, Zhang L, Brown D, Goldstein D, Gullane P, Tong L, Hahn E. Dawn of Staging for Head and Neck Soft Tissue Sarcoma: Validation of the Novel 8 th Edition AJCC T Classification and Proposed Stage Groupings. Int J Radiat Oncol Biol Phys 2023; 117:S149. [PMID: 37784378 DOI: 10.1016/j.ijrobp.2023.06.567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) After decades of stagnation, the 8th edition TNM (TNM8) introduced a new T classification for head and neck (HN) soft tissue sarcomas (STS). New size cutoffs of 2 and 4 cm define T1-3, and a novel T4 category is defined by local invasion of adjoining structures. These size cutoffs had been chosen arbitrarily to advance data collection in this unique disease site since literature showed approximately 70% of HN STS did not reach the previous size threshold (5 cm) for the existing T1 category. The definition of the TNM8 T categories also align with mucosal HN cancers. No stage grouping for HN STS was defined since this new classification required more data collection to derive stage groups. This study aims to validate the TNM8 T classification and to propose stage groupings. MATERIALS/METHODS Clinical data of all adult (>16 years) HN STS patients treated from 1988 - 2019 with curative intent in our tertiary cancer center were retrieved from a prospective database, and supplemented with chart review. As per TNM8, cutaneous angiosarcoma, embryonal and alveolar rhabdomyosarcoma, Kaposi sarcoma, and dermatofibrosarcoma protuberans were excluded due to their different behavior. Multivariate analysis (MVA) identified prognostic factors for overall survival (OS). Adjusted hazard ratios (AHR) and recursive partitioning analysis (RPA) were used to derive stage groupings. Stage grouping performance for OS was assessed and also compared against the existing TNM8 groups for non-HN STS. RESULTS A total of 221 patients (N1: 2; M1: 2) were included. Of the 219 M0 patients, 63% were males; median tumor size was 3.0 cm (range: 0.3-14.0); the proportion of TNM8 T1-T4 were 35%, 34%, 26%, and 5%, respectively. Median follow up was 5.9 years. Five-year OS was 79%. MVA confirmed the prognostic value of T category (T4 HR 7.73, 95% CI 3.62-16.5) and grade (G2/3 vs G1 HR 3.7, 95% CI 1.82-7.53), in addition to age (HR 1.03, 95% CI 1.01-1.04) (all p<0.001) for OS. AHR model derived T1-3_Grade 1 as stage 1; T1-3_Grade 2/3 as stage II; and T4_any Grade or any T_N1 as stage III (Table 1); the corresponding 5-year OS was 93%, 73%, and 38%, respectively. Both patients with M1 died within 1.5 years after diagnosis and M1 disease was designated stage IV. The AHR-grouping outperformed the RPA and non-HN TNM8 stage grouping for hazard consistency, hazard discrimination, percent variance explained, hazard difference, and sample size balance. CONCLUSION The novel T4 category introduced in TNM8 is associated with a >7 fold increased risk of death. Grade continues to be a critical prognostic factor in HN STS. The TNM8 HN STS T classifications have been validated, and the proposed new stage groupings with TNM8 incorporating grade have excellent performance for OS.
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Affiliation(s)
- R R Salunkhe
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - B O'Sullivan
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S H Huang
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Su
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - W Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hosni
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Irish
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J de Almeida
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - I Witterick
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - E Montero
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - R W Gilbert
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A A Razak
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - L Zhang
- Mount Sinai Hospital, Toronto, ON, Canada
| | - D Brown
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - D Goldstein
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - P Gullane
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L Tong
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - E Hahn
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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7
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Barcelona MVN, Huang SH, Su J, Tong L, Bratman SV, Cho J, Hahn E, Hope AJ, Hosni A, Kim J, McPartlin A, O'Sullivan B, Ringash JG, Siu LL, Spreafico A, Eng L, Yao CM, Xu W, Waldron J, Tsai CJ. Outcomes after Contemporary Definitive Radiotherapy Alone in Patients with TNM-7 Stage III/IV Head and Neck Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e565-e566. [PMID: 37785730 DOI: 10.1016/j.ijrobp.2023.06.1889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study was undertaken to determine outcomes and prognostic factors of definitive intensity-modulated radiotherapy (IMRT) alone for patients with TNM-7 stage III/IV HNSCC who did not receive concurrent chemotherapy. MATERIALS/METHODS We evaluated TNM-7 stage III/IV HNSCC patients treated with definitive IMRT alone in our institution from 2004-2019. Patients were reclassified according to TNM-8 staging. Stage II HPV+ oropharyngeal cancers (OPC) were subdivided into T1-2N2 and T3N0-2 for analysis. The rationale for chemotherapy omission was obtained retrospectively from clinical documentation. Recurrence-free survival (RFS) and overall survival (OS) were estimated stratified by HPV status (determined by p16 staining, sometimes supplemented by HPV DNA testing). Multivariable analysis (MVA) identified prognostic factors for RFS and OS, taking into account stage and IMRT regimen. Age, performance status, and smoking were also examined for OS. RESULTS A total of 1083 patients were included (460 HPV+ and 623 HPV-). Reasons for omission of chemotherapy were: age >70 years or frailty (n = 551, 51%), cisplatin contraindication (n = 241, 22%), patient refusal (n = 106, 10%), and clinician's decision (n = 185, 17%). Median age was 67 years for HPV+ and 70 years for HPV- cohorts. IMRT mostly utilized altered fractionation regimens (n = 1016, 94%): moderately accelerated (Acc) (70 Gy/35 fractions [f]/6 weeks [w], 55%), hypofractionated (Hypo) (60 Gy/25f/5w, 14%), and hyperfractionated-accelerated (Hyper) (64 Gy/40f/4w, 25%). Median follow-up was 5 years. Five-year RFS and OS for HPV+ TNM-8 stage I/T1-2N2/T3N0-N2/III were 89%/86%/76%/52% and 83%/80%/64%/33% respectively (p<0.01). The same outcomes for HPV- TNM-8 stage III/IVA/IVB were 58%/52%/39% and 47%/27%/13%, respectively (p<0.01). MVA confirmed that HPV+ T3N0-2 subset within stage II and stage III (vs stage I) had lower RFS, and HPV- stage IVA and IVB (vs stage III) carried worse RFS and OS (Table). CONCLUSION Despite the retrospective nature and inherent selection bias, this large single institutional study shows that altered fractionated IMRT alone is an acceptable alternative for elderly, frail or cisplatin ineligible patients with HPV+ stage I/IIA (T1-2N2) OPC. Patients with HPV+ T3N0-2/stage III OPC and HPV- stage III/IV HNSCC have poor outcomes with IMRT alone and may benefit from alternative strategies.
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Affiliation(s)
- M V N Barcelona
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - S H Huang
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Su
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L Tong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada; Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - S V Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - E Hahn
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A J Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Kim
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A McPartlin
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - B O'Sullivan
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J G Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L L Siu
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Spreafico
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L Eng
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - C M Yao
- Department of Otolaryngology-Head and Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - W Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - C J Tsai
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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8
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Johnny C, Huang SH, Su J, Bratman S, Cho J, Hahn E, Hosni A, Hope A, Kim J, O'Sullivan B, Ringash JG, Waldron J, Spreafico A, Eng L, Goldstein D, Tong L, Xu W, McPartlin A. The Prognostic and Predictive Value of Pre-Treatment Total Lymphocyte Count in HPV+ Oropharyngeal Carcinoma Receiving Definitive (Chemo-) Radiation. Int J Radiat Oncol Biol Phys 2023; 117:e591-e592. [PMID: 37785789 DOI: 10.1016/j.ijrobp.2023.06.1942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Evidence of prognostic importance of pre-radiotherapy (RT) total lymphocyte counts (TLC) and interaction with addition of cisplatin (CRT) in HPV-positive oropharyngeal carcinoma (HPV+OPC) is conflicting. Recent data suggest patients with high TLC may not benefit from the addition of chemotherapy (Price et al, JCO 2022). We assess the prognostic and predictive value of TLC in a large single center HPV+OCP cohort. MATERIALS/METHODS All HPV+OPC patients treated at a single academic center with definitive RT/CRT between 2005-2018 were included. Pre-treatment TLC up to 6 weeks prior to RT start were considered. Multivariable analysis (MVA) was applied to assess the prognostic importance of TLC (continuous variable), adjusted for age, gender, performance status, TNM-8 stage, and smoking status in the CRT and RT subgroups. The actuarial rates of locoregional control (LRC), distant control (DC), and overall survival (OS) were calculated using Kaplan-Meier and competing risk methods, stratified by low vs high TLC (determined using Contal and O'Quigley method for optimal cutoff). RESULTS Among 1153 eligible patients, 707 (61%) were treated with CRT. Median age was 59.7 (range 22.7-92.2) years. 526 patients were (46%) TNM-8 stage I, 366 (32%) stage II and 261 (23%) stage III. Median TLC was 1.6 x 109/L (range 0.1-8.5). Median follow-up was 5.5 years. On MVA, TLC was prognostic for patients receiving CRT (OS [adjusted hazard ration (aHR) 0.55 (0.38-0.79), p = 0.002], DC [aHR 0.57 (0.37-0.88), p = 0.011], LRC [aHR 0.57 (0.36-0.89), p = 0.014]) but not RT (OS [aHR 1.04 (0.82-1.31), p = 0.74], LRC [aHR 1.26 (0.86-1.85), p = 0.23], DC [aHR 0.87 (0.64-1.19), p = 0.4)]. The optimal TLC cut-off for OS with CRT was 1.9 x 109/L. Low vs high TLC patients receiving CRT had significantly inferior 5-year DC (87% vs 93%, p = 0.017) and OS (84% vs 90%, p = 0.026). The benefit of higher TLC was most evident in stage II disease (table 1). CRT vs RT improved OS for stage II/III disease at high and low TLC. CONCLUSION Pre-treatment TLC is prognostic in a large cohort of HPV+OPC patients receiving CRT but not RT alone. Further investigation of the interaction of cisplatin and immune response during RT is warranted. The omission of chemotherapy based on TLC is not supported.
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Affiliation(s)
- C Johnny
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S H Huang
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - J Su
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - S Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Center/University of Toronto, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - E Hahn
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hope
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Kim
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - B O'Sullivan
- CHUM (The University of Montreal Hospital Centre), Montreal, QC, Canada
| | - J G Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Spreafico
- Department of Medical Oncology and Haematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L Eng
- Department of Medical Oncology and Haematology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - D Goldstein
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - L Tong
- Department of Statistical Sciences, University of Toronto, Toronto, ON, Canada
| | - W Xu
- Department of Biostatistics, Princess Margaret Cancer Center/University of Toronto, Toronto, ON, Canada
| | - A McPartlin
- Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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9
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Saha S, Huang SH, O'Sullivan B, Su J, Xu W, Hosni A, Waldron J, Irish J, de Almeida J, Witterick I, Monteiro E, Gilbert RW, Catton CN, Chung P, Brown D, Goldstein D, Razak AA, Gullane P, Hahn E. Outcomes of Head and Neck Cutaneous Angiosarcoma Treated in the IMRT Era. Int J Radiat Oncol Biol Phys 2023; 117:e620-e621. [PMID: 37785859 DOI: 10.1016/j.ijrobp.2023.06.2004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Clinical behavior, natural history, and varied presentations of cutaneous angiosarcomas of the head and neck region (HN), in conjunction with its rarity, have rendered standardization of treatment elusive. We aimed to assess outcomes and patterns of failure for patients treated with surgery and radiation (Sx+RT), and radiation alone (RT). MATERIALS/METHODS A retrospective review of all HN angiosarcoma patients amenable for upfront Sx or RT in our institution between 2004-2018 was completed. Generally, treatment included Sx when feasible, and RT for large or extensive/ill-defined tumors. Demographic, tumor characteristics, local (LC), regional (RC), distant control (DC), and overall survival (OS), as well as patterns (in-field, marginal, out-of-field) of local failure at 5-year were estimated. Univariate analysis (UVA) was conducted to assess association with outcomes. RESULTS A total of 33 patients were eligible (14 Sx+RT and 19 RT). Tumor locations were: scalp (16, 48%). face (n = 12, 36%), and overlapping (5, 15%). Lesion types were: nodular (n = 23, 70%), flat (n = 4, 12%) and mixed (n = 6, 18%). Tumor size was larger in the RT group (median: 10.00 vs 2.85 cm, p<0.01). RT and Sx+RT patients had otherwise similar baseline characteristics: median age 74.3; male 70%; and ECOG performance status ≤1 85%. RT dose fractionations ranged from 50-70 Gy in 25-35 fractions in the RT group and 50-66 Gy in 25-33 fractions in the Sx+RT group. Four (12%) patients received neoadjuvant chemotherapy. Median follow up was 5.5 years. Five-year LC, RC, DC, and OS for RT vs Sx+RT groups were 68% vs 85% (p = 0.28); 95% vs 86% (p = 0.89); 79% vs 86% (p = 0.39); and 45% vs 55% (p = 0.71), respectively. The in-field/marginal/out-of-field local failure rate at 5 years were 16% vs 7% (p = 0.46), 26% vs 15% (p = 0.41), and 13% vs 0% (p = 0.24) for the RT vs Sx+RT groups, respectively. UVA showed that scalp location and ulceration/bleeding were strong adverse features for OS. Bone invasion was significantly associated with lower DC (Table). Lesion type (nodular/flat/mixed), tumor size, and treatment type (Sx+RT vs RT), were not significantly associated with LC or pattern of local failure. CONCLUSION Scalp tumors, as compared to face, portended poorer prognosis, and ulceration/bleeding and bone invasion were associated with increased distant metastases. Sx+RT was the preferred treatment modality when possible and typically used for smaller and better defined tumors. RT was reserved for larger and extensive/ill-defined disease; despite this, in the IMRT era, RT achieves reasonable rates of control, markedly superior to historical series.
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Affiliation(s)
- S Saha
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - S H Huang
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - B O'Sullivan
- CHUM (The University of Montreal Hospital Centre), Montreal, QC, Canada
| | - J Su
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - W Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - J Irish
- Department of Otolaryngology - Head & Neck Surgery, University Health Network-University of Toronto, Toronto, ON, Canada
| | - J de Almeida
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - I Witterick
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - E Monteiro
- Department of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, ON, Canada
| | - R W Gilbert
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - C N Catton
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - P Chung
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - D Brown
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - D Goldstein
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A A Razak
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - P Gullane
- Department of Otolaryngology-Head & Neck Surgery, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - E Hahn
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
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10
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Tang MJ, Ma XL, He XL, Pan WH, Zhang XH, Jiang SY, Gao J, Li F, Yao W, Gu S, Zhang WL, Zhao Q, Huang SH, Fang YJ, Liu W, Niu HZ, Wang CM, Sun LR, Gao H, Dai YP, Huang SG, Zhong ZY, Wang XG, Li ZR, Yang LC, Wu YM, Wang HM, Sun X, Yuan XJ. A multicenter prospective study on the management of hepatoblastoma in children: a report from the Chinese Children's Cancer Group. World J Pediatr 2023:10.1007/s12519-023-00750-6. [PMID: 37770810 DOI: 10.1007/s12519-023-00750-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 07/17/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND This study aimed to identify survival risk factors in Chinese children with hepatoblastoma (HB) and assess the effectiveness of the new treatment protocol proposed by the Chinese Children's Cancer Group (CCCG) in 2016. METHODS A multicenter, prospective study that included 399 patients with HB from January 2015 to June 2020 was conducted. Patient demographics, treatment protocols, and other related information were collected. Cox regression models and Kaplan-Meier curve methods were used. RESULTS The 4-year event-free survival (EFS) and overall survival (OS) were 76.9 and 93.5%, respectively. The 4-year EFS rates for the very-low-risk, low-risk, intermediate-risk, and high-risk groups were 100%, 91.6%, 81.7%, and 51.0%, respectively. The 4-year OS was 100%, 97.3%, 94.4%, and 86.8%, respectively. Cox regression analysis found that age, tumor rupture (R +), and extrahepatic tumor extension (E +) were independent prognostic factors. A total of 299 patients had complete remission, and 19 relapsed. Patients with declining alpha-fetoprotein (AFP) > 75% after the first two cycles of neoadjuvant chemotherapy had a better EFS and OS than those ≤ 75%. CONCLUSIONS The survival outcome of HB children has dramatically improved since the implementation of CCCG-HB-2016 therapy. Age ≥ 8 years, R + , and E + were independent risk factors for prognosis. Patients with a declining AFP > 75% after the first two cycles of neoadjuvant chemotherapy had better EFS and OS.
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Affiliation(s)
- Meng-Jie Tang
- Department of Pediatric Hematology/Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China
| | - Xiao-Li Ma
- Medical Oncology Department, Pediatric Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Xiang-Ling He
- Department of Hematology/Oncology, Children's Medical Center, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, 41005, China
| | - Wei-Hua Pan
- Department of Pediatric Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Xiao-Hong Zhang
- Department of Hematology/Oncology, Guangzhou Women and Children's Medical Center, National Children's Medical Center for South Central Region, Guangzhou, 510623, China
| | - Sha-Yi Jiang
- Department of Hematology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Ju Gao
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Fu Li
- Department of Hematology/Oncology, Qilu Children's Hospital of Shandong University, Jinan, 250022, China
| | - Wei Yao
- Department of Pediatric Surgery, Children's Hospital of Fudan University, Shanghai, 201102, China
| | - Song Gu
- Department of General Surgery, Shanghai Children's Medical Center (National Children's Medical Center-Shanghai), Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Wei-Ling Zhang
- Department of Pediatrics, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Qiang Zhao
- Department of Pediatric Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
| | - Shi-Hao Huang
- Department of Pediatric Hematology/Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China
| | - Yong-Jun Fang
- Department of Hematology/Oncology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Wei Liu
- Department of Hematology/Oncology, Henan Children's Hospital, Zhengzhou, 450018, China
| | - Hui-Zhong Niu
- Department of Pediatric General Surgery, Hebei Children's Hospital of Hebei Medical University, Shijiazhuang City, 050031, China
| | - Chun-Mei Wang
- Children's Hospital, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Li-Rong Sun
- Department of Paediatric Hematology/Oncology, the Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Hui Gao
- Department of Paediatric Hematology/Oncology, Dalian Women and Children's Medical Group, Dalian, 116037, China
| | - Yun-Peng Dai
- Department of Pediatric Hematology/Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
| | - Shun-Gen Huang
- Department of General Surgery, Children's Hospital of Soochow University, Suzhou, 215028, China
| | - Zhi-Yong Zhong
- Department of Pediatric Surgery, the Second Hospital of HeBei Medical University, Shijiazhuang, 050000, China
| | - Xi-Ge Wang
- Department of Paediatric Hematology/Oncology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhong-Rong Li
- Department of Pediatric Surgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China
| | - Liang-Chun Yang
- Department of Pediatrics, Xiangya Hospital Central South University, Changsha, 410008, China
| | - Ye-Ming Wu
- Department of Pediatric Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Huan-Min Wang
- Department of Surgical Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
| | - Xin Sun
- Clinical Research and Innovation Unit, XinHua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Xiao-Jun Yuan
- Department of Pediatric Hematology/Oncology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 1665, Kongjiang Road, Yangpu District, Shanghai, 200092, China.
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11
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Huang SH, Chi P, Huang Y, Wang XJ, Chen MH, Sun YW, Lin HM, Jiang WZ. [Anatomical classification of and laparoscopic surgery for left-sided colorectal cancer with persistent descending mesocolon]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:668-674. [PMID: 37583024 DOI: 10.3760/cma.j.cn441530-20230109-00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
Objective: To investigate anatomical morphology and classification of persistent descending mesocolon (PDM) in patients with left-sided colorectal cancer, as well as the safety of laparoscopic radical surgery for these patients. Methods: This is a descriptive study of case series. Relevant clinical data of 995 patients with left colon and rectal cancer who had undergone radical surgery in Fujian Medical University Union Hospital from July 2021 to September 2022 were extracted from the colorectal surgery database of our institution and retrospectively analyzed. Twenty-four (2.4%) were identified as PDM and their imaging data and intra-operative videos were reviewed. We determined the distribution and morphology of the descending colon and mesocolon, and evaluated the feasibility and complications of laparoscopic surgery. We classified PDM according to its anatomical characteristics as follows: Type 0: PDM combined with malrotation of the midgut or persistent ascending mesocolon; Type 1: unfixed mesocolon at the junction between transverse and descending colon; Type 2: PDM with descending colon shifted medially (Type 2A) or to the right side (Type 2B) of the abdominal aorta at the level of the origin of the inferior mesentery artery (IMA); and Type 3: the mesocolon of the descending-sigmoid junction unfixed and the descending colon shifted medially and caudally to the origin of IMA. Results: The diagnosis of PDM was determined based on preoperative imaging findings in 9 of the 24 patients (37.5%) with left-sided colorectal cancer, while the remaining diagnoses were made during intraoperative assessment. Among 24 patients, 22 were male and 2 were female. The mean age was (63±9) years. We classified PDM as follows: Type 0 accounted for 4.2% (1/24); Type 1 for 8.3% (2/24); Types 2A and 2B for 37.5% (9/24) and 25.0% (6/24), respectively; and Type 3 accounted for 25.0% (6/24). All patients with PDM had adhesions of the mesocolon that required adhesiolysis. Additionally, 20 (83.3%) of them had adhesions between the mesentery of the ileum and colon. Twelve patients (50.0%) required mobilization of the splenic flexure. The inferior mesenteric artery branches had a common trunk in 14 patients (58.3%). Twenty-four patients underwent D3 surgery without conversion to laparotomy; the origin of the IMA being preserved in 22 (91.7%) of them. Proximal colon ischemia occurred intraoperatively in two patients (8.3%) who had undergone high ligation at the origin of the IMA. One of these patients had a juxta-anal low rectal cancer and underwent intersphincteric abdominoperineal resection because of poor preoperative anal function. Laparoscopic subtotal colectomy was considered necessary for the other patient. The duration of surgery was (260±100) minutes and the median estimated blood loss was 50 (20-200) mL. The median number of No. 253 lymph nodes harvested was 3 (0-20), and one patient (4.2%) had No.253 nodal metastases. The median postoperative hospital stay was 8 (4-23) days, and the incidence of complications 16.7% (4/24). There were no instances of postoperative colon ischemia or necrosis observed. One patient (4.2%) with stage IIA rectal cancer developed Grade B (Clavien-Dindo III) anastomotic leak and underwent elective ileostomy. The other complications were Grade I-II. Conclusions: PDM is frequently associated with mesenteric adhesions. Our proposed classification can assist surgeons in identifying the descending colon and mesocolon during adhesion lysis in laparoscopic surgery. It is crucial to protect the colorectal blood supply at the resection margin to minimize the need for unplanned extended colectomy, the Hartmann procedure, or permanent stomas.
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Affiliation(s)
- S H Huang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - P Chi
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Y Huang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - X J Wang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - M H Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Y W Sun
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - H M Lin
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - W Z Jiang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
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Wang XJ, Zheng ZF, Yu Q, Li W, Deng Y, Xie ZD, Huang SH, Huang Y, Zhao XZ, Chi P. [Anatomical and histological investigation of the area anterior to the anorectum passing through the levator hiatus]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:578-587. [PMID: 37583012 DOI: 10.3760/cma.j.cn441530-20220504-00197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
Objective: To document the anatomical structure of the area anterior to the anorectum passing through the levator hiatus between the levator ani slings bilaterally. Methods: Three male hemipelvises were examined at the Laboratory of Clinical Applied Anatomy, Fujian Medical University. (1) The anatomical assessment was performed in three ways; namely, by abdominal followed by perineal dissection, by examining serial cross-sections, and by examining median sagittal sections. (2) The series was stained with hematoxylin and eosin to enable identification of nerves, vessels, and smooth and striated muscles. Results: (1) It was found that the rectourethralis muscle is closest to the deep transverse perineal muscle where the longitudinal muscle of the rectum extends into the posteroinferior area of the membranous urethra. The communicating branches of the neurovascular bundle (NVB) were identified at the posterior edge of the rectourethralis muscle on both sides. The rectum was found to be fixed to the membranous urethra through the rectourethral muscle, contributing to the anorectal angle of the anterior rectal wall. (2) Serial cross-sections from the anal to the oral side were examined. At the level of the external anal sphincter, the longitudinal muscle of the rectum was found to extend caudally and divide into two muscle bundles on the oral side of the external anal sphincter. One of these muscle bundles angled dorsally and caudally, forming the conjoined longitudinal muscle, which was found to insert into the intersphincteric space (between the internal and external anal sphincters). The other muscle bundle angled ventrally and caudally, filling the gap between the external anal sphincter and the bulbocavernosus muscle, forming the perineal body. At the level of the superficial transverse perineal muscle, this small muscle bundle headed laterally and intertwined with the longitudinal muscle in the region of the perineal body. At the level of the rectourethralis and deep transverse perineal muscle, the external urethral sphincter was found to occupy an almost completely circular space along the membranous part of the urethra. The dorsal part of the external urethral sphincter was found to be thin at the point of attachment of the rectourethralis muscle, the ventral part of the longitudinal muscle of the rectum. We identified a venous plexus from the NVB located close to the oral and ventral side of the deep transverse perineal muscle. Many vascular branches from the NVB were found to be penetrating the longitudinal muscle and the ventral part of rectourethralis muscle at the level of the apex of the prostate. The rectourethral muscle was wrapped ventrally around the membranous urethra and apex of the prostate. The boundary between the longitudinal muscle and prostate gradually became more distinct, being located at the anterior end of the transabdominal dissection plane. (3) Histological examination showed that the dorsal part of the external urethral sphincter (striated muscle) is thin adjacent to the striated muscle fibers from the deep transverse perineal muscle and the NVB dorsally and close by. The rectourethral muscle was found to fill the space created by the internal anal sphincter, deep transverse perineal muscle, and both levator ani muscles. Many tortuous vessels and tiny nerve fibers from the NVB were identified penetrating the muscle fibers of the deep transverse perineal and rectourethral muscles. The structure of the superficial transverse perineal muscle was typical of striated muscle. These findings were reconstructed three-dimensionally. Conclusions: In intersphincteric resection or abdominoperineal resection for very low rectal cancer, the anterior dissection plane behind Denonvilliers' fascia disappears at the level of the apex of the prostate. The prostate and both NVBs should be used as landmarks during transanal dissection of the non-surgical plane. The rectourethralis muscle should be divided near the rectum side unless tumor involvement is suspected. The superficial and deep transverse perineal muscles, as well as their supplied vessels and nerve fibers from the NVB. In addition, the cutting direction should be adjusted according to the anorectal angle to minimize urethral injury.
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Affiliation(s)
- X J Wang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Z F Zheng
- Union Clinical College, Fujian Medical University, Fuzhou 350001, China
| | - Q Yu
- Department of Pathology, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - W Li
- Department of Pathology, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Y Deng
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Z D Xie
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - S H Huang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Y Huang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - X Z Zhao
- Laboratory of Clinical Applied Anatomy, Fujian Medical University, Fuzhou 350005, China
| | - P Chi
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
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Fann LY, Cheng CC, Chien YC, Hsu CW, Chien WC, Huang YC, Chung RJ, Huang SH, Jiang YH, Yin SH, Cheng KW, Wu YP, Hsiao SH, Hsu SY, Huang YC, Chu CM. Effect of far-infrared radiation on inhibition of colonies on packaging during storage of sterilised surgical instruments. Sci Rep 2023; 13:8490. [PMID: 37231027 DOI: 10.1038/s41598-023-35352-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/16/2023] [Indexed: 05/27/2023] Open
Abstract
The sterilisation of surgical instruments is a major factor in infection control in the operating room (OR). All items used in the OR must be sterile for patient safety. Therefore, the present study evaluated the effect of far-infrared radiation (FIR) on the inhibition of colonies on packaging surface during the long-term storage of sterilised surgical instruments. From September 2021 to July 2022, 68.2% of 85 packages without FIR treatment showed microbial growth after incubation at 35 °C for 30 days and at room temperature for 5 days. A total of 34 bacterial species were identified, with the number of colonies increasing over time. In total, 130 colony-forming units were observed. The main microorganisms detected were Staphylococcus spp. (35%) and Bacillus spp. (21%) , Kocuria marina and Lactobacillus spp. (14%), and mould (5%). No colonies were found in 72 packages treated with FIR in the OR. Even after sterilisation, microbial growth can occur due to movement of the packages by staff, sweeping of floors, lack of high-efficiency particulate air filtration, high humidity, and inadequate hand hygiene. Thus, safe and simple far-infrared devices that allow continuous disinfection for storage spaces, as well as temperature and humidity control, help to reduce microorganisms in the OR.
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Affiliation(s)
- Li-Yun Fann
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
- Department of Nurse-Midwifery and Women Health, National Taipei University of Nursing and Health Sciences, Taipei, 11220, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
| | - Chih-Chien Cheng
- Univeraity of Taipei, Taipei, 10048, Taiwan
- Department of Obstetrics/Gynecology, Taipei City Hospital, Taipei, 10341, Taiwan
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, 242062, Taiwan
| | - Yung-Chen Chien
- Department of Inspection, Taipei City Hospital, Ren-Ai Branch, Taipei, 10629, Taiwan
| | - Cheng-Wei Hsu
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
| | - Wu-Chien Chien
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, Taipei, 11490, Taiwan
| | - Yao-Ching Huang
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, Taipei, 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Ying-Hua Jiang
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
| | - Shih-Han Yin
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
| | - Kai-Wen Cheng
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
| | - Yi-Ping Wu
- Department of Nursing, Taipei City Hospital, Taipei, 10684, Taiwan
| | - Sheng-Huang Hsiao
- Department of Neurosurgery, Taipei City Hospital, Ren-Ai Branch, Taipei, 10629, Taiwan.
| | - Shao-Yuan Hsu
- Department of Neurosurgery, Taipei City Hospital, Ren-Ai Branch, Taipei, 10629, Taiwan.
| | - Ying-Che Huang
- Department of Anesthesia and Critical Care Medicine, Taipei City Hospital, Ren-Ai Branch, Taipei, 10629, Taiwan.
| | - Chi-Ming Chu
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan.
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 11490, Taiwan.
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14
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Lei Y, Shen HF, Li QW, Yang S, Xie HT, Li XF, Chen ML, Xia JW, Wang SC, Dai GQ, Zhou Y, Li YC, Huang SH, He DH, Zhou ZH, Cong JG, Lin XL, Lin TY, Wu AB, Xiao D, Xiao SJ, Zhang XK, Jia JS. Hairy gene homolog increases nasopharyngeal carcinoma cell stemness by upregulating Bmi-1. Aging (Albany NY) 2023; 15:204742. [PMID: 37219449 DOI: 10.18632/aging.204742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/09/2023] [Indexed: 05/24/2023]
Abstract
B-cell-specific Moloney murine leukemia virus integration site 1 (Bmi-1) is overexpressed in various cancer types. We found that Bmi-1 mRNA levels were elevated in nasopharyngeal carcinoma (NPC) cell lines. In immunohistochemical analyses, high Bmi-1 levels were observed in not only 5 of 38 non-cancerous nasopharyngeal squamous epithelial biopsies, but also in 66 of 98 NPC specimens (67.3%). High Bmi-1 levels were detected more frequently in T3-T4, N2-N3 and stage III-IV NPC biopsies than in T1-T2, N0-N1 and stage I-II NPC samples, indicating that Bmi-1 is upregulated in advanced NPC. In 5-8F and SUNE1 NPC cells, stable depletion of Bmi-1 using lentiviral RNA interference greatly suppressed cell proliferation, induced G1-phase cell cycle arrest, reduced cell stemness and suppressed cell migration and invasion. Likewise, knocking down Bmi-1 inhibited NPC cell growth in nude mice. Both chromatin immunoprecipitation and Western blotting assays demonstrated that Hairy gene homolog (HRY) upregulated Bmi-1 by binding to its promoter, thereby increasing the stemness of NPC cells. Immunohistochemistry and quantitative real-time PCR analyses revealed that HRY expression correlated positively with Bmi-1 expression in a cohort of NPC biopsies. These findings suggested that HRY promotes NPC cell stemness by upregulating Bmi-1, and that silencing Bmi-1 can suppress NPC progression.
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Affiliation(s)
- Ye Lei
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci and Tech Co. Ltd., Guangzhou 510515, China
| | - Hong-Fen Shen
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Qi-Wen Li
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Sheng Yang
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Hong-Ting Xie
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou 510515, China
| | - Xu-Feng Li
- School of Basic Medical Sciences, Guangxi Medical University, Nanning 530000, China
| | - Mei-Ling Chen
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou 510515, China
| | - Jia-Wei Xia
- The Third People’s Hospital of Kunming (The Sixth Affiliated Hospital of Dali University), Kunming 650041, China
| | - Sheng-Chun Wang
- Department of Pathology, School of Basic Medicine, Guangdong Medical University, Dongguan 523808, China
| | - Guan-Qi Dai
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Ying Zhou
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Ying-Chun Li
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Shi-Hao Huang
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Dan-Hua He
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Zhi-Hao Zhou
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jin-Ge Cong
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci and Tech Co. Ltd., Guangzhou 510515, China
| | - Xiao-Lin Lin
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
| | - Tao-Yan Lin
- Department of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Ai-Bing Wu
- Central People’s Hospital of Zhanjiang, Zhanjiang 524000, China
| | - Dong Xiao
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci and Tech Co. Ltd., Guangzhou 510515, China
- National Demonstration Center for Experimental Education of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Sheng-Jun Xiao
- Department of Pathology, The Second Affiliated Hospital, Guilin Medical University, Guilin 541199, China
| | - Xin-Ke Zhang
- Department of Pathology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Jun-Shuang Jia
- School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
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15
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Feng HP, Yu PC, Huang SH, Huang YC, Chen CF, Sun CA, Wang BL, Chien WC, Chiang CH. The benefit of vegetarian diets for reducing blood pressure in Taiwan: a historically prospective cohort study. J Health Popul Nutr 2023; 42:41. [PMID: 37161487 PMCID: PMC10170669 DOI: 10.1186/s41043-023-00377-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 04/10/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE Past vegetarians research has often found that they have lower blood pressure (BP). Effects may include their lower BMI and higher intake levels of fruit and vegetables. Besides, the study pursues to extend this evidence in a diverse population containing vegans, lacto-ovo vegetarians and omnivores. DESIGN The study analyzed data on five hundred vigorous individuals aged 20 years or older from a standard medical screening program and provided validated questionnaire. Criteria were established for vegan, lacto-ovo vegetarian, partial vegetarian and omnivorous dietary patterns. SETTING Health screening programs were conducted at a standard medical screening program in Taiwan between 2006 and 2017. Dietary data were gathered by self-administered questionnaire. SUBJECTS Five hundred Taiwanese subjects representing the cohort. RESULTS Multiple regression analyses confirmed that the vegan vegetarians had lower systolic and diastolic BP (mmHg) than omnivorous Taiwanese (β = - 6.8, p < 0.05 and β = - 6.9, p < 0.001). Findings for lacto-ovo vegetarians (β = - 9.1, p < 0.001 and β = - 5.8, p < 0.001) were similar. The vegetarians were also less likely to be using antihypertensive medications. Defining hypertension as systolic BP > 139 mmHg or diastolic BP > 89 mmHg or routine of antihypertensive medications, the odds ratio of hypertension compared with omnivores was 0.37 (95% CI = 0.19-0.74), 0.57 (95% CI = 0.36-0.92) and 0.92 (95% CI = 0.50-1.70), respectively, for vegans, lacto-ovo vegetarians and partial vegetarians. Results were reduced after adjustment for BMI. CONCLUSIONS The study concludes from this relatively large study that vegetarians, especially vegans, with otherwise diverse characteristics but stable diets, do have lower systolic and diastolic BP and less hypertension than omnivores.
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Affiliation(s)
- Hsin-Pei Feng
- School of Nursing, National Defense Medical Center, Taipei City, 11490, Taiwan
| | - Pi-Ching Yu
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City, 10602, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, 11490, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei, 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei, 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, 10608, Taiwan
| | - Chin Fu Chen
- Amed Advanced Medication Co., Ltd., New Taipei City, 24890, Taiwan
- Center for Technology Transfer and Resources Integration, Fu-Jen Catholic University, New Taipei City, 242062, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, 242062, Taiwan
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, 242062, Taiwan
| | - Bill-Long Wang
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan.
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei, 11490, Taiwan.
- School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan.
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei, 11490, Taiwan.
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 11490, Taiwan.
| | - Chun-Hsien Chiang
- Department of Cardiovascular Medicine, Far-Eastern Memorial Hospital, New Taipei City, 10602, Taiwan.
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Yu PC, Hsin HT, Huang YC, Chung RJ, Lin IJ, Wang BL, Chen CF, Sun CA, Tang SE, Huang SH, Chien WC, Chiang CH. Standardized rate of hospitalization for violent injuries among different generations in counties and cities in Taiwan from 2000 to 2015. Medicine (Baltimore) 2023; 102:e33172. [PMID: 36897711 PMCID: PMC9997829 DOI: 10.1097/md.0000000000033172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
This study aimed to understand the distribution of the standardized rate of hospitalization for violent injuries in counties and cities in Taiwan. The ICD-9 diagnosis code N-codes 995.5 (abused child) and 995.8 (abused adult) or E-code E960-E969 (homicide and intentional injury by others) were defined as research cases. The study analyzed the standardized medical treatment rate of children and adolescents aged 0 to 17, adults aged 18 to 64, and older adults over 65 years old suffering from violence for the first time. During the 15-year period, the counties and cities with the highest rate of medical treatment for violent injuries among children (unit: per 105 people) were Pingtung County (33.1 males, 22.9 females), Lienchiang County (8.8 males, 9.8 females), and New Taipei City (8.2 males, 8.8 females). For adults, Pingtung County (73.2 males, 36.8 females), New Taipei City (26.0 males, 14.3 females), and Yunlin County (19.7 males, 7.7 females) registered the highest rates. For older adults, Pingtung County (33.6 persons), New Taipei City (12.5 persons), Yun Lin County (11.2 persons), and Taichung City (9.2 persons) registered the highest rates. The highest rates of older female adults receiving treatment were recorded in Pingtung County (15.1 persons), Yunlin County (9.0 persons), Taichung City (5.5 persons), and New Taipei City (5.1 persons). With the Poisson regression model, the relative risk ratio of seeking medical care owing to violence in Pingtung County (reference: Taipei City) was 25.1 times for children, 20.1 times for adults, and 11.7 times for older adults. The counties and cities with higher rates of violent medical treatment for adults and older adults during the 15-year period were Pingtung County, New Taipei City, and Yunlin County. For children and adolescents, Pingtung County, Lienchiang County, and New Taipei City recorded the highest rates. Pingtung County had the highest risk of sexual violence. These results may be related to the local industrial structure, demographic composition, and other characteristics explained in the text.
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Affiliation(s)
- Pi-Ching Yu
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
- Graduate Institute of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Ho-Tsung Hsin
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan
| | - Iau-Jin Lin
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Chin-Fu Chen
- Amed Advanced Medication Co., Ltd., New Taipei City, Taiwan
- Center for Technology Transfer and Resources Integration, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Shih-En Tang
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Institute of Aerospace and Undersea Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei, Taiwan
| | - Chun-Hsien Chiang
- Department of Cardiovascular Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
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17
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Chen BC, Huang YC, Huang SH, Yu PC, Wang BL, Lin FH, Chou YC, Hsieh CJ, Yu CP. Epidemiology and risk factors for notifiable Clostridium botulinum infections in Taiwan from 2003 to 2020. Medicine (Baltimore) 2022; 101:e31198. [PMID: 36281180 PMCID: PMC9592386 DOI: 10.1097/md.0000000000031198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Botulinum toxin is produced by Clostridium botulinum, a gram-positive anaerobic bacterium. This study aimed to examine the epidemiological characteristics, including sex, age, season in which infection occurred, place of residence, and epidemiological trends, of confirmed botulism cases in Taiwan from 2003 to 2020. This study examined the annual summary data on reported botulism in Taiwan' s Center for Disease Control from 2003 to 2020 available to the public on the internet. We found that there were 50 confirmed domestic cases of botulism. The incidence of botulism ranged from 0 to 0.48 per 1000,000 from 2003 to 2020 and peaked in 2008 and 2010. During the 18-year investigation period in which 6-year intervals were used, the study results showed a decreasing trend (2003-2008, 2009-14, and 2015-2020, had 22, 19, 9 cases each). In terms of patients' gender, age, and place of residence, most of the patients were females (56%), were aged ≥ 50 years (48%), and resided in Taipei and northern Taiwan (44%). The number of botulism cases in Taiwan from 2012 to 2020 compared with other years (from 2003 to 2011) found that there were significant differences among patients within an age group of <20 years (P = .003, odds ratio = 18.500, and 95% confidence interval = 3.287-104.111), and there were significant differences among patients whose place of residence was Taipei metropolitan area (P = .025, odds ratio = 5.667, and 95% confidence interval = 1.248-25.734). During 2003 to 2009, there was no case of botulism among those aged <20 years. Over the last 10 years, botulism in children showed an increasing trend. A total of 9 children were found to have botulism during 2010 to 2020; most of these children were male (66.7%) and were infected during spring and summer (66.7%). This study is the first to report the number of confirmed domestic cases with botulism from surveillance data from Taiwan's Center for Disease Control during 2003 to 2020. This study also found that the place of residence and age were associated with an increased risk of botulism in Taiwan. This information may be useful for policymakers and clinical experts to direct prevention- and control-based activities regarding botulism that result in the most severe illness and the greatest burden on Taiwanese.
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Affiliation(s)
- Bao-Chung Chen
- Division of Gastroenterology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei City, Taiwan
| | - Pi-Ching Yu
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Fu-Huang Lin
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Chi-Jeng Hsieh
- Department of Health Care Administration, Asia Eastern University of Science and Technology, New Taipei City, Taiwan
| | - Chia-Peng Yu
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
- *Correspondence: Chia-Peng Yu, School of Public Health, National Defense Medical Center, Taipei City 114, Taiwan (e-mail: )
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18
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Hsing SC, Chen CC, Huang SH, Huang YC, Chung RJ, Chung CH, Chien WC, Sun CA, Huang SM, Yu PC, Chiang CH, Tang SE. Obese patients experience more severe OSA than non-obese patients. Medicine (Baltimore) 2022; 101:e31039. [PMID: 36253984 PMCID: PMC9575835 DOI: 10.1097/md.0000000000031039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
To investigate whether previous exposure to obstructive sleep apnea (OSA) increases the risk of obesity in obese and nonobese patients. We identified 24,363 obese patients diagnosed between January 1, 2000, and December 31, 2015, in the Taiwan Longitudinal Health Insurance Database (LHID) 2005 National Health Insurance Research Database; 97,452 sex-, age- and index date-matched nonobese patients were identified from the same database. This study is based on the ninth edition of the International Classification of Sleep Disorders. Multiple logistic regression was used to analyze the previous exposure of obese patients to OSA. P < .05 was considered significant. The average age of 121,815 patients was 44.30 ± 15.64 years old; 42.77% were males, and 57.23% were females. Obese patients were more likely to be exposed to OSA than nonobese patients (adjusted odds ratio [AOR] = 2.927, 95% CI = 1.878-4.194, P < .001), and the more recent the exposure period was, the more severely obese the patient, with a dose-response effect (OSA exposure < 1 year, AOR = 3.895; OSA exposure 1 year, <5 years, AOR = 2.933; OSA exposure 5 years, AOR = 2.486). The probability of OSA exposure in obese patients was 2.927 times that in nonobese patients, and the longer the exposure duration was, the more severe the obesity situation, with a dose-response effect (OSA exposure < 1 year, AOR = 2.251; OSA exposure 1 year, <5 years, AOR = 2.986; OSA exposure 5 years, AOR = 3.452). The risk of obesity in subjects with OSA was found to be significantly higher in this nested case-control study; in particular, a longer exposure to OSA was associated with a higher likelihood of obesity, with a dose-response effect.
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Affiliation(s)
- Shih-Chun Hsing
- Center for Healthcare Quality Management, Cheng Hsin General Hospital, Taipei, Taiwan
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Chu-Chieh Chen
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei Tech, Taiwan
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei Tech, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei Tech, Taiwan
| | - Chi-Hsiang Chung
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Wu-Chien Chien
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei, Taiwan
- * Correspondences: Wu-Chien Chien, School of Public Health, National Defense Medical Center, Taipei, Taiwan (e-mail: )
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Shu-Min Huang
- Deaprtment of Infection Control, Taipei Medical University Hospital, Taipei City, Taiwan
| | - Pi-Ching Yu
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
- Graduate Institute of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Chun-Hsien Chiang
- Department of Cardiovascular Medicine, Far-Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Shih-En Tang
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Institute of Aerospace and Undersea Medicine, National Defense Medical Center, Taipei, Taiwan
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Hsiao SH, Cheng CC, Lin IJ, Yu CP, Huang YC, Huang SH, Sun CA, Fann LY, Sheu MY, Chien WC. Persistent Depressive Disorder-Related Effect of Sleep Disorder on the Highest Risk of Suicide in Taiwan, 2000-2015. Int J Environ Res Public Health 2022; 19:13169. [PMID: 36293761 PMCID: PMC9603005 DOI: 10.3390/ijerph192013169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/06/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
OBJECTIVE to investigate whether persistent depressive disorder (PDD) affects sleep disorders (SDs) and increased suicide risk. METHODS in this study, we used the National Health Insurance Research Database (NHIRD) to select 117,033 SD patients, of whom 137 died by suicide, and 468,132 non-SD patients, of whom 118 died by suicide, and analyzed gender, age, and co-existing diseases. Hazard ratios (HRs) and 95% confidence intervals (CI) were calculated using a multivariate Cox proportional hazards model. RESULTS the hazard ratio of suicide in SD patients was 1.429 times that of non-SD patients. The hazard ratio of suicide in female patients was 1.297 times higher than in males. Compared with people without PDD, people with PDD had a 7.195 times higher hazard ratio for suicide than those without PDD. PDD patients with SDs had a 2.05 times higher hazard ratio for suicide than those with no SDs. CONCLUSIONS suicide risk was increased in SD patients, and the maximum suicide risk was greater in SD patients with PDD than in non-PDD patients. PDD affected SDs and increased suicide risk. Clinicians should be aware of the possibility that PDD affects patients with SDs and contributes to suicide risk.
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Affiliation(s)
- Sheng-Huang Hsiao
- Department of Neurosurgery, Taipei City Hospital, Ren-Ai Branch, Taipei 10629, Taiwan
- Department of Psychology, National Chengchi University, Taipei 11605, Taiwan
| | - Chih-Chien Cheng
- Department of Mechanical Engineering, National Central University, Jhongli 32001, Taiwan
- Department of Obstetrics/Gynecology, Taipei City Hospital, Taipei 10341, Taiwan
- School of Medicine, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Iau-Jin Lin
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chia-Peng Yu
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Li-Yun Fann
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Nursing, Taipei City Hospital, Taipei 10684, Taiwan
- Department of Nurse-Midwifery and Women Health, National Taipei University of Nursing and Health Sciences, Taipei 11220, Taiwan
| | - Miin-Yea Sheu
- Department of Nursing, Taipei City Hospital, Taipei 10684, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei 11490, Taiwan
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Yu CP, Lin IJ, Wang BL, Tsao CH, Huang SH, Huang YC, Sun CA, Chung CH, Hu JM, Chien WC. Intestinal infectious diseases increase the risk of psychiatric disorders: A nationwide population-based cohort study. Medicine (Baltimore) 2022; 101:e30959. [PMID: 36221435 PMCID: PMC9543017 DOI: 10.1097/md.0000000000030959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Intestinal infectious diseases (IIDs) are among the most common diseases and are prevalent worldwide. IIDs are also one of the major disease groups with the highest incidence worldwide, especially among children and older adults. We observed a higher probability of IIDs in patients from the psychiatric department of Tri-Service General Hospital. Therefore, our objective was to investigate if there is an association between IIDs and the risk of developing psychiatric disorders. This nationwide population-based study used the database of the National Health Insurance (NHI) program in Taiwan. The study included 150,995 patients from 2000 to 2015, comprising 30,199 patients with IIDs as the study group and 120,796 patients without IIDs as the control group. Cox proportional hazards regression analysis was performed to calculate the hazard ratio of psychiatric disorders during the 16-year follow-up. Of the patients with IIDs, 4022 (13.32%) developed psychiatric disorders compared to 8119 (6.72%) who did not (P < .001). The adjusted hazard ratio (aHR) for overall psychiatric disorders in the study group was 2.724 (95% confidence interval [CI]: 2.482-2.976; P < .001). More specifically, the study group had a higher risk of developing a psychiatric disorder, including sleep disorders, depression, anxiety, bipolar disorder, post-traumatic stress disorder (PTSD)/acute stress disorder (ASD), schizophrenia, mental retardation (MR), substance abuse, and other psychiatric disorders. Furthermore, refractory IIDs (seeking medical attention for IIDs 3 or more times) increased the risk (aHR: 3.918; 95% CI: 3.569-4.280; P < .001) of developing psychiatric disorders. There was an association between IIDs and the increased risk of developing psychiatric disorders. The novel role of etiological factors in the development of psychiatric disorders deserves more attention, and the control of pathogens that cause IIDs is of urgent public health importance.
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Affiliation(s)
- Chia-Peng Yu
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Iau-Jin Lin
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Chang-Huei Tsao
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Department of Microbiology & Immunology, National Defense Medical Center, Taipei, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan
| | - Je-Ming Hu
- Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
- *Correspondence: Wu-Chien Chien, Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan and Je-Ming Hu, Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan (e-mail: (W-CC) and (J-MH))
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
- *Correspondence: Wu-Chien Chien, Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan and Je-Ming Hu, Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan (e-mail: (W-CC) and (J-MH))
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21
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Hao W, Dian M, Zhou Y, Zhong Q, Pang W, Li Z, Zhao Y, Ma J, Lin X, Luo R, Li Y, Jia J, Shen H, Huang S, Dai G, Wang J, Sun Y, Xiao D. Autophagy induction promoted by m 6A reader YTHDF3 through translation upregulation of FOXO3 mRNA. Nat Commun 2022; 13:5845. [PMID: 36195598 PMCID: PMC9532426 DOI: 10.1038/s41467-022-32963-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/24/2022] [Indexed: 12/08/2022] Open
Abstract
Autophagy is crucial for maintaining cellular energy homeostasis and for cells to adapt to nutrient deficiency, and nutrient sensors regulating autophagy have been reported previously. However, the role of eiptranscriptomic modifications such as m6A in the regulation of starvation-induced autophagy is unclear. Here, we show that the m6A reader YTHDF3 is essential for autophagy induction. m6A modification is up-regulated to promote autophagosome formation and lysosomal degradation upon nutrient deficiency. METTL3 depletion leads to a loss of functional m6A modification and inhibits YTHDF3-mediated autophagy flux. YTHDF3 promotes autophagy by recognizing m6A modification sites around the stop codon of FOXO3 mRNA. YTHDF3 also recruits eIF3a and eIF4B to facilitate FOXO3 translation, subsequently initiating autophagy. Overall, our study demonstrates that the epitranscriptome regulator YTHDF3 functions as a nutrient responder, providing a glimpse into the post-transcriptional RNA modifications that regulate metabolic homeostasis.
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Affiliation(s)
- WeiChao Hao
- Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, 510080, Guangzhou, China
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - MeiJuan Dian
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China
| | - Ying Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China
| | - QiuLing Zhong
- Department of Neurobiology, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - WenQian Pang
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - ZiJian Li
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - YaYan Zhao
- Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, 510080, Guangzhou, China
| | - JiaCheng Ma
- Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, 10084, Beijing, China
| | - XiaoLin Lin
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
- Cancer Center, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, 510315, Guangzhou, China
| | - RenRu Luo
- School of Medicine, Shenzhen Campus of Sun Yat-sen University, 518107, Guangdong, China
| | - YongLong Li
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China
| | - JunShuang Jia
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - HongFen Shen
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - ShiHao Huang
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China
| | - GuanQi Dai
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China
| | - JiaHong Wang
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China.
| | - Yan Sun
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, China.
| | - Dong Xiao
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China.
- Institute of Comparative Medicine & Laboratory Animal Center, Southern Medical University, 510515, Guangzhou, China.
- National Demonstration Center for Experimental Education of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China.
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22
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Du YY, Yang WH, Huang SH, Tang F, Zhao W, Liu J. [The value of MR diffusion tensor imaging in assessing white matter changes in short-term methamphetamine withdrawal]. Zhonghua Yi Xue Za Zhi 2022; 102:2779-2785. [PMID: 36124350 DOI: 10.3760/cma.j.cn112137-20220113-00091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the value of MRI diffusion tensor imaging (DTI) in the white matter changes of short-term methamphetamine (MA) abstinence. Methods: The data of DTI, demographics features, general information of addiction and impulsivity scale eleven (BIS-11) of 55 short-term MA addicts who were from Changsha, Zhuzhou and Yueyang compulsory detoxification centers in Hunan province, including 40 males and 15 females, aged 14-45 (37.24±7.31) years old, and 52 healthy controls, including 40 males and 12 females aged 18-59 (40.3±9.1) years were collected prospectively from August 2017 to December 2018. The differences of DTI indicators between the two groups were compared by tract-based spatial statistics (TBSS), and then the correlation between the different indicators and the age of first MA use, time of MA use, daily dose used, BIS-11 score were performed. Results: There were significant differences in BIS total score(P<0.001), BIS motivational impulsivity(P<0.001) and BIS attentional impulsivity(P=0.003) between MA group and healthy control group in short-term withdrawal. And compared with the healthy control group, the fractional anisotropy (FA) (0.58±0.02 vs 0.56±0.02,0.77±0.02 vs 0.75±0.04,0.79±0.04 vs 0.76±0.06; all P<0.05), axial diffusivity (AD) (0.57±0.01 vs 0.56±0.02,P=0.001) and mean diffusivity (MD) (0.66±0.02 vs 0.65±0.02,0.52±0.07 vs 0.51±0.06; both P<0.05)values in the MA group were all increased (P<0.05), but there was no significant difference in the radial diffusivity (RD) value (P>0.05). The white matter areas with increased FA value were located in the knee and body of corpus callosum, bilateral anterior corona radiata and left superior corona radiata; the areas with increased AD value were located in the knee, body and pressure of corpus callosum, bilateral anterior limb of internal capsule, posterior limb of internal capsule, anterior, superior and posterior corona radiata, external capsule and superior longitudinal fasciculus; and the areas with increased MD value were mainly located in the right superior longitudinal fasciculus, anterior and posterior limb of internal capsule. The corpus callosum, where there was a difference in FA between the two groups, was positively correlated with the daily dose of MA (r=0.301, P=0.026). Conclusion: MA addicted individuals with short-term withdrawal have white matter edema and damage, and the degree of corpus callosum damage is positively correlated with the daily dose of MA,which is helpful to understand the pathophysiological process of white matter damage in the nervous system and the potential mechanism of neuropsychiatric symptoms in short-term withdrawal MA addicted individuals.
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Affiliation(s)
- Y Y Du
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - W H Yang
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - S H Huang
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - F Tang
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - W Zhao
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - J Liu
- Department of Radiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
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Huang SH, Chi P, Huang Y, Wang XJ, Jiang WZ. [Efficacy of abdominal and transanal lavage-suction drainage system for early anastomotic leakage after neoadjuvant chemoradiotherapy and surgery for rectal cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:734-737. [PMID: 35970809 DOI: 10.3760/cma.j.cn441530-20210812-00326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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Fann LY, Lin IJ, Huang SH, Wang BL, Huang YC, Yu CP, Cheng CC, Sun CA, Hsu CW, Chien WC, Lu CH. Adults Suffering from Violence Are at Risk of Poor Prognosis in Taiwan, 2000-2015. Healthcare (Basel) 2022; 10:healthcare10081470. [PMID: 36011125 PMCID: PMC9407952 DOI: 10.3390/healthcare10081470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
Objective: To understand the risk of developing a poor prognosis in adulthood after violent injury in Taiwan. Methods: This study used the data of outpatients, from emergency departments, and from hospitalization of 2 million people under National Health Insurance from 2000 to 2015. The ICD-9 diagnostic code N-code was defined as the case of this study and was 995.8 (abused adult) or E-code was E960-E969 (homicide and intentional injury by others) The first violent injury of 18−64-year-old adults (the study group) was analyzed. Patients who had not suffered violent abuse were the control group. The groups were matched in a 1:4 ratio, and the paired variables were gender, age ±1 year, Charlson Comorbidity index (CCI) before exposure, and year of medical treatment. SAS 9.4 statistical software was used, and the Cox regression method was used for data analysis. Results: During the 15-year period, a total of 8726 people suffered from violence (34,904 controls). The incidences of common poor prognoses among the victims of violence were sleep disorder, anxiety, and depression, in 33.9%, 21.6%, and 13.2% of people, respectively. The risk (Adults, Overall) of developing Post-Traumatic Stress Disorder (PTSD), bipolar disorder, and manic disorder after being violently injured (average 9 years) was 34.86, 4.4, and 4.1 times higher than those who had not suffered violence (all p values < 0.01). The risk (Adults, Males) of developing PTSD, bipolar disorder, and manic disorder after being violently injured (average 9 years) was 30.0, 3.81, and 2.85 times higher, respectively, than those who had not suffered violence (all p values < 0.01). The risk (Adults, Females) of developing PTSD, manic disorder, and bipolar disorder after being violently injured (average 9 years) was 36.8, 6.71, and 5.65 times higher, respectively, than of those who had not suffered violence (all p values < 0.01). Conclusion: The risks of poor prognosis are higher in adults who have suffered violent abuse than in those who have not. Therefore, police, social workers, and medical personnel should pay attention to the mental state of victims of violence. They should aim to support prompt treatment, to avoid PTSD, bipolar disorder, manic disorder, etc.
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Affiliation(s)
- Li-Yun Fann
- Department of Nursing, Taipei City Hospital, Taipei 10341, Taiwan
- Department of Nurse-Midwifery and Women Health, National Taipei University of Nursing and Health Sciences, Taipei 11220, Taiwan
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Iau-Jin Lin
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Yao-Ching Huang
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Chia-Peng Yu
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chih-Chien Cheng
- Department of Mechanical Engineering, National Central University, Jhongli 32001, Taiwan
- Department of Obstetrics/Gynecology, Taipei City Hospital, Taipei 10341, Taiwan
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 242062, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Cheng-Wei Hsu
- Department of Nursing, Taipei City Hospital, Taipei 10341, Taiwan
- Correspondence: (C.-W.H.); (W.-C.C.); (C.-H.L.)
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei 11490, Taiwan
- Correspondence: (C.-W.H.); (W.-C.C.); (C.-H.L.)
| | - Chieh-Hua Lu
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (C.-W.H.); (W.-C.C.); (C.-H.L.)
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Chwo MJ, Huang YC, Huang SH, Chung RJ, Sun CA, Chung CH, Wang BL, Chien WC. Males with low income and catastrophic illnesses are important risk factors for in-hospital homicide-related deaths in Taiwan from 1998 to 2015: A cross-sectional study. Medicine (Baltimore) 2022; 101:e29785. [PMID: 35801749 PMCID: PMC9259112 DOI: 10.1097/md.0000000000029785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
This study aimed to investigate not only the differences in in-hospital deaths between male and female homicides in Taiwan from 1998 to 2015, but also the epidemiological characteristics and long-term trend analysis. We collected data on 76,125 hospitalized patients injured in attempted homicides from January 1, 1998, to December 31, 2015, from the National Health Insurance Research Database (NHIRD), identifying 59,161 male and 16,694 female patients. Age, gender, and index date match. Multiple logistic regression was used to analyze the risks of gender differences in terms of homicide. The death risk of male patients was 1.673 times that of female patients and the mortality risk of low-income male patients was 3.447 times greater than that of non-low-income male patients. Moreover, the in-hospital death risk was 23.584 and 5.064 times higher for male and female patients with catastrophic illness, respectively, compared to patients with noncritical diseases. There is a higher trend of male than female patients hospitalized after an attempted homicide. Gender differences are significantly related to homicide, with males having a higher risk of death risk from homicide than females, especially in terms of low-income and catastrophic illness.
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Affiliation(s)
- Miao-Ju Chwo
- Department of Nursing, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei City, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei City, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei City, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chi-Hsiang Chung
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei City, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City, Taiwan
- * Correspondence: Wu-Chien Chien, Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, 7115R, No. 325, Section 2, Cheng-Kung Road, Nei-hu District, Taipei, Taiwan (e-mail: )
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Chi P, Huang SH. [Delayed gastric emptying after surgery for transverse colon cancer: diagnosis, management and prevention]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:493-499. [PMID: 35754213 DOI: 10.3760/cma.j.cn441530-20220304-00082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Delayed gastric emptying is a syndrome of gastric motility disorder with slow gastric emptying as the main sign, provided that mechanical factors such as intestinal obstruction and anastomotic stricture are excluded. The incidence of delayed gastric emptying after colon cancer surgery is 1.4%, mainly after transverse colon cancer surgery. Most of the studies on delayed gastric emptying are case reports, lacking systematic studies. The diagnoses and treatments can be draw on the experience of delayed gastric emptying after pancreatic surgery. Our retrospective study indicated that the incidence of delayed gastric emptying after surgery for transverse colon cancer was 4.0%, higher than that for other colon cancer. Patients who underwent gastrocolic ligament lymph node dissection were at higher risk than those who did not (3.6% vs. 0.8%). Gastrocolic ligament lymph node dissection and stress are causative factors for delayed gastric emptying after surgery for transverse colon cancer. We add the gastrografin test upon the diagnostic criteria of the International Study Group for Pancreatic Surgery, which is simple and practical. Nasogastric tube decompression, enteral nutrition combined with parenteral nutrition, glucocorticoids, and prokinetic agents can cure most patients with postoperative delayed gastric emptying. All the patients with postoperative delayed gastric emptying were cured in our studies. Strict indications for gastrocolic ligament lymph node dissection (patients with cT3-4 and cN+) may decrease the occurrence of delayed gastric emptying after surgery for transverse colon cancer.
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Affiliation(s)
- P Chi
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - S H Huang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
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Wang RS, Huang SH, Sun CA, Lin IL, Wang BL, Huang YC, Chien WC. Atrial Fibrillation's Influence on Short Sleep Duration Increases the Risk of Fatness in Management Executives. Int J Environ Res Public Health 2022; 19:ijerph19095438. [PMID: 35564833 PMCID: PMC9103176 DOI: 10.3390/ijerph19095438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 12/03/2022]
Abstract
This study explored whether atrial fibrillation (AF)’s influence on short sleep duration (SD) increases the subsequent risk of fatness in management executives. This study included 25,953 healthy individuals working as management executives with ages ranging from 35 to 65 years (19,100 men and 6853 women) who participated in a qualifying physical filter program from 2006 to 2017 in Taiwan. Men and women who slept < 4 h had a 4.35-fold and 5.26-fold higher risk of developing AF than those who slept 7−8 h normally. Men and women who slept < 4 h had a 6.44-fold and 9.62-fold higher risk of fatness than those who slept 7−8 h. Men and women with AF had a 4.52-fold and 6.25-fold higher risk of fatness than those without AF. It showed that AF induced by short SD increases the risk of fatness. A short SD can predict an increased risk of fatness among management executives in Taiwan.
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Affiliation(s)
- Richard S. Wang
- Program of Data Analytics and Business Computing, Stern School of Business, New York University, New York, NY 10003, USA;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan;
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan;
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - I-Long Lin
- Department of Computer Science and Engineering, Tatung University, Taipei 104327, Taiwan;
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (B.-L.W.); (Y.-C.H.); (W.-C.C.)
| | - Yao-Ching Huang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (B.-L.W.); (Y.-C.H.); (W.-C.C.)
| | - Wu-Chien Chien
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (B.-L.W.); (Y.-C.H.); (W.-C.C.)
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Tai HC, Huang SH, Huang YC, Chung RJ, Wang BL, Chung CH, Sun CA, Huang SM, Lin IL, Chien WC. Gender differences in death during hospitalization following a survived suicide attempt in Taiwan from 1998 to 2015: a cross-sectional study. J Mens Health 2022. [DOI: 10.31083/j.jomh1804103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Jin YT, Chen CM, Huang YC, Chung CH, Sun CA, Huang SH, Chien WC, Wu GJ. Segregating Suspected Child Maltreatment from Non-Child Maltreatment Injuries: A Population-Based Case-Control Study in Taiwan. Int J Environ Res Public Health 2022; 19:ijerph19084591. [PMID: 35457455 PMCID: PMC9026454 DOI: 10.3390/ijerph19084591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/24/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022]
Abstract
Objective: To identify the differential patient characteristics, injury types, and treatment outcomes between hospitalized child abuse and non-child abuse injuries in Taiwan. Methods: Using the data from the National Health Insurance Research Database, we selected a total of 1525 patients under the age of 18 that were diagnosed with child abuse, as well as an additional 6100 patients as a comparison group. Chi-square test, Fisher exact test, and independent samples t-test were used to compare the differences between the abused children and the non-abuse-related injured children. The multivariate conditional logistic regression was performed to measure the risk factor of child maltreatment in injured children. Results: Intracranial injury was more frequent in the child abuse group than it was in the non-child abuse group (35.0% vs. 8.2%; p < 0.001). Children in the child abuse group tended to stay longer in the hospital and incur higher medical expenses (8.91 days vs. 4.41 days and USD 2564 vs. USD 880, respectively). In multivariate analysis, the Adjusted Odds Ratio (Adjusted OR) of abuse resulting in an injury for children in low-income families is 1.965 times higher than those in non-low-income families (p < 0.001). Children living in high urbanization areas had a significantly higher probability of being abused than those living in low urbanization areas (p < 0.001). Conclusion: Children under the age of 1 who were hospitalized with severe intracranial injuries are highly at risk for child maltreatment. Moreover, numerous high-risk environmental factors were observed in child abuse cases, including living in urban areas, families with low income, and seasonality, as child maltreatment cases occur more frequently in autumn.
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Affiliation(s)
- Yo-Ting Jin
- Department of Nursing, Fu-Jen Catholic University, New Taipei City 242062, Taiwan; (Y.-T.J.); (C.-M.C.)
- School of Nursing, National Taipei University of Nursing & Health Sciences, Taipei 11219, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chin-Mi Chen
- Department of Nursing, Fu-Jen Catholic University, New Taipei City 242062, Taiwan; (Y.-T.J.); (C.-M.C.)
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan;
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan; (C.-H.C.); (S.-H.H.)
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan; (C.-H.C.); (S.-H.H.)
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan;
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Shi-Hao Huang
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan; (C.-H.C.); (S.-H.H.)
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan; (C.-H.C.); (S.-H.H.)
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (G.-J.W.)
| | - Gwo-Jang Wu
- Department of Nursing, Fu-Jen Catholic University, New Taipei City 242062, Taiwan; (Y.-T.J.); (C.-M.C.)
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan; (C.-H.C.); (S.-H.H.)
- Obstetrics and Gynecology Department, Tri-Service General Hospital, Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (G.-J.W.)
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Hsing SC, Chen CC, Huang SH, Huang YC, Wang BL, Chung CH, Sun CA, Chien WC, Wu GJ. Trends in Homicide Hospitalization and Mortality in Taiwan, 1998-2015. Int J Environ Res Public Health 2022; 19:ijerph19074341. [PMID: 35410022 PMCID: PMC8998703 DOI: 10.3390/ijerph19074341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/25/2022] [Accepted: 04/03/2022] [Indexed: 12/10/2022]
Abstract
In Taiwan, the national research on homicide is rare, mostly discussing the issue of child abuse. We sought to better understand the characteristics and risk factors of homicide through a retrospective cohort study from 1998 to 2015. “Child battering and other maltreatment” ranked first for the 0–4 age group and second for the 5–14 age group. The hospital mortality was 511 deaths. We found that the 25–44 age group had the highest risk and accounted for 44.76% of hospitalization. The most common causes were “fight, brawl, and rape” (49.12%), “cutting and piercing instruments,” (13.16%) and “child battering and other forms of maltreatment” (4.72%). Additionally, the percentages of “fight, brawl, and rape,” “firearms and explosives,” and “cutting and piercing instruments” were significantly higher among males than among females. The percentages of “hanging and strangulation,” “corrosive or caustic substance,” “child battering and other maltreatment,” “submersion,” and “poisoning” were significantly higher among females than males. Factors associated with homicide in-hospital mortality included gender, age, low income, catastrophic disease, Charlson comorbidity index score, urbanization level, hospital level, classification of hospitalization, and surgery. Overall, the trend of hospitalization rates due to homicide decreased both by gender and age group, except for the 0–4 age group: cause of homicide first, hanging and strangulation second, firearms and explosives third; type of injury, hospitalized patients with “vascular injuries” first, joint and muscle sprain, and intracranial, chest, and abdominal pelvic injuries second, and “burns” third with a higher risk of death. Homicide reduction requires a comprehensive strategy beyond specific victim groups. Interagency collaboration should be strengthened, especially between law enforcement/criminal justice and public health.
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Affiliation(s)
- Shih-Chun Hsing
- Center for Healthcare Quality Management, Cheng Hsin General Hospital, Taipei 11220, Taiwan;
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11220, Taiwan;
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chu-Chieh Chen
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Health Sciences, Taipei 11220, Taiwan;
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
- Correspondence: (C.-A.S.); (W.-C.C.); (G.-J.W.)
| | - Wu-Chien Chien
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
- Correspondence: (C.-A.S.); (W.-C.C.); (G.-J.W.)
| | - Gwo-Jang Wu
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- Obstetrics and Gynecology Department, Tri-Service General Hospital, Taipei 11490, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (C.-A.S.); (W.-C.C.); (G.-J.W.)
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Jin YT, Chwo MJ, Chen CM, Huang SH, Huang YC, Chung CH, Sun CA, Lin IL, Chien WC, Wu GJ. Relationship between Injuries and Attention-Deficit Hyperactivity Disorder: A Population-Based Study with Long-Term Follow-Up in Taiwan. Int J Environ Res Public Health 2022; 19:ijerph19074058. [PMID: 35409742 PMCID: PMC8998513 DOI: 10.3390/ijerph19074058] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/25/2022] [Accepted: 03/27/2022] [Indexed: 02/05/2023]
Abstract
Objective: To investigate the association between various injuries and attention-deficit hyperactivity disorder (ADHD) and distinguish ADHD from non-ADHD with regards to risk of various injuries among children in Taiwan. Method: Using the data from the National Health Insurance Research Database, we selected a total of 1802 subjects under the age of 18 who were diagnosed with ADHD as well as an additional 7208 subjects as a comparison group. Results: Compared with children who were not diagnosed with ADHD, children diagnosed with ADHD were more likely to intentionally injure themselves. During the school year, ADHD children were injured less frequently than were non-ADHD children on traffic-related incidents. The adjusted hazard ratio of injury for the ADHD children was 2.493 times higher than that of comparison subjects. The ADHD children had a greater length of stay and medical cost when compared to those of the non-ADHD children. Age showed a significant inverse relationship with injury. Among the ADHD children, the injury rate was evidently higher for the low-income group than for the non-low-income group. Conclusions: Age, cause of injuries, low-income household status, and school season all have a significant connection to the risk of injury for ADHD children.
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Affiliation(s)
- Yo-Ting Jin
- Department of Nursing, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan; (Y.-T.J.); (M.-J.C.); (C.-M.C.)
- Department of Nursing, National Taipei University of Nursing & Health Sciences, Taipei 11230, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Miao-Ju Chwo
- Department of Nursing, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan; (Y.-T.J.); (M.-J.C.); (C.-M.C.)
| | - Chin-Mi Chen
- Department of Nursing, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan; (Y.-T.J.); (M.-J.C.); (C.-M.C.)
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
| | - Chien-An Sun
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan;
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan
| | - I-Long Lin
- Department of Computer Science and Engineering, Tatung University, Taipei 104327, Taiwan;
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association, Taipei 11490, Taiwan
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: ; Tel.: +886-2-8792-3311 (ext. 19189)
| | - Gwo-Jang Wu
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan;
- Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan;
- Department of Obstetrics and Gynecology, Tri-Service General Hospital, Taipei 11490, Taiwan
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Chwo MJ, Huang SH, Huang YC, Lin IJ, Yu CP, Chung CH, Chien WC, Sun CA, Wu GJ. Sexual Assault Is the Biggest Risk Factor for Violence against Women in Taiwan-A Nationwide Population Cohort Study from 2000 to 2015. Int J Environ Res Public Health 2022; 19:ijerph19063473. [PMID: 35329159 PMCID: PMC8949986 DOI: 10.3390/ijerph19063473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/10/2022] [Accepted: 03/12/2022] [Indexed: 02/04/2023]
Abstract
Objective: To understand the main types of risk of violence against women in Taiwan. Materials and methods: This study used the outpatient, emergency, and hospitalization data of 2 million people in the National Health Insurance sample from 2000 to 2015. The International Classification of Diseases, Ninth Revision diagnostic N-codes 995.5 (child abuse) and 995.8 (adult abuse) or E-codes E960−E969 (homicide and intentional injury by others) were defined as the case study for this study, and the risks of first violent injury for boys and girls (0−17 years old), adults (18−64 years old), and elders (over 65 years old) were analyzed. Logistic regression analysis was used for risk comparison. A p value of <0.05 was considered significant. Results: The proportion of women (12−17.9 years old) who were sexually assaulted was 2.71 times that of women under the age of 12, and the risk of sexual assault for girls and adult women was 100 times that of men. Girls who were insured as labor insurance, farmers, members of water conservancy and fishery associations, low-income households, and community insured population (public insurance as the reference group) were significantly more likely to seek medical treatment from sexual assault than adult women. Among them, the risk was greatest for girls from low-income households (odds ratio = 10.74). Conclusion: Women are at higher risk of sexual assault than men regardless of whether they are children or adults, and the highest risk is for women in senior high schools, especially for girls from low-income households. Therefore, the protection of women’s personal autonomy is the direction that the government and people from all walks of life need to continue to strive for. Especially for high school students from low-income households, protection must be strengthened through education, social work, and police administration.
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Affiliation(s)
- Miao-Ju Chwo
- Department of Nursing, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan;
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (S.-H.H.); (Y.-C.H.)
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan; (I.-J.L.); (C.-H.C.)
| | - Iau-Jin Lin
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan; (I.-J.L.); (C.-H.C.)
| | - Chia-Peng Yu
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan; (I.-J.L.); (C.-H.C.)
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan; (I.-J.L.); (C.-H.C.)
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (G.-J.W.)
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan;
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Gwo-Jang Wu
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan; (I.-J.L.); (C.-H.C.)
- Department of Obstetrics and Gynecology, Tri-Service General Hospital, Taipei 11490, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (G.-J.W.)
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Huang YC, Huang SH, Chung RJ, Wang BL, Chung CH, Chien WC, Sun CA, Yu PC, Lu CH. Obese Patients Experience More Severe CSA than Non-Obese Patients. Int J Environ Res Public Health 2022; 19:ijerph19031289. [PMID: 35162313 PMCID: PMC8835470 DOI: 10.3390/ijerph19031289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 12/04/2022]
Abstract
Objective: To investigate whether central sleep apnea (CSA) is associated with an increased risk of obesity. Materials and methods: From 1 January 2000 to 31 December 2015, we screened 24,363 obese patients from the 2005 longitudinal health insurance database, which is part of the Taiwan National Health Insurance Research Database. From the same database, 97,452 non-obese patients were also screened out. Age, gender, and index dates were matched. Multiple logistic regression was used to analyze the previous exposure risk of obese and CSA patients. A p-value of <0.05 was considered significant. Results: Obese patients were more likely to be exposed to CSA than non-obese patients would (AOR = 2.234, 95% CI = 1.483–4.380, p < 0.001). In addition, the closeness of the exposure time to the index time is positively correlated with the severity of obesity and has a dose–response effect (CSA exposure < 1 year, AOR = 2.386; CSA exposure ≥ 1 year and <5 years, AOR = 1.725; CSA exposure time ≥ 5 years, AOR = 1.422). The CSA exposure time of obese patients was 1.693 times that of non-obese patients. Longer exposure time is associated with more severe obesity and has a dose-response effect (CSA exposure < 1 year, AOR = 1.420; CSA exposure ≥ 1 year and <5 years, AOR = 2.240; CSA ≥ 5 years, AOR = 2.863). Conclusions: In this case-control study, patients with CSA had a significantly increased risk of obesity. Long-term exposure to CSA and obesity is more likely and has a dose-response effect.
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Affiliation(s)
- Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (Y.-C.H.); (S.-H.H.); (R.-J.C.)
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan;
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (Y.-C.H.); (S.-H.H.); (R.-J.C.)
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan; (Y.-C.H.); (S.-H.H.); (R.-J.C.)
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Chi-Hsiang Chung
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan;
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei 11490, Taiwan
| | - Wu-Chien Chien
- Department of Medical Research, Tri-Service General Hospital, Taipei 11490, Taiwan;
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
- Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (C.-H.L.)
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan;
- Big Data Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242062, Taiwan
| | - Pi-Ching Yu
- Graduate Institute of Medicine, National Defense Medical Center, Taipei 11490, Taiwan;
- Cardiovascular Intersive Care Unit, Department of Critical Care Medicine, Far-Eastern Memorial Hospital, New Taipei City 10602, Taiwan
| | - Chieh-Hua Lu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan
- Correspondence: (W.-C.C.); (C.-H.L.)
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Liu Y, Li YQ, Huang SH, Li YL, Xia JW, Jia JS, Wei F, Wang JH, Dai GQ, Wang YC, Li XY, Han LX, Zhang XL, Xiang XD, Zhao WT, Xiao D, Lin XL. Liver-specific over-expression of Cripto-1 in transgenic mice promotes hepatocyte proliferation and deregulated expression of hepatocarcinogenesis-related genes and signaling pathways. Aging (Albany NY) 2021; 13:21155-21190. [PMID: 34517344 PMCID: PMC8457585 DOI: 10.18632/aging.203402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/13/2021] [Indexed: 11/25/2022]
Abstract
In this study, we investigated the role of embryonic gene Cripto-1 (CR-1) in hepatocellular carcinoma (HCC) using hepatocyte-specific CR-1-overexpressing transgenic mice. The expression of truncated 1.7-kb CR-1 transcript (SF-CR-1) was significantly higher than the full-length 2.0-kb CR-1 transcript (FL-CR-1) in a majority of HCC tissues and cell lines. Moreover, CR-1 mRNA and protein levels were significantly higher in HCC tissues than adjacent normal liver tissues. Hepatocyte-specific over-expression of CR-1 in transgenic mice enhanced hepatocyte proliferation after 2/3 partial hepatectomy (2/3 PHx). CR-1 over-expression significantly increased in vivo xenograft tumor growth of HCC cells in nude mice and in vitro HCC cell proliferation, migration, and invasion. CR-1 over-expression in the transgenic mouse livers deregulated HCC-related signaling pathways such as AKT, Wnt/β-catenin, Stat3, MAPK/ERK, JNK, TGF-β and Notch, as well as expression of HCC-related genes such as CD5L, S100A8, S100A9, Timd4, Orm2, Orm3, PDK4, DMBT1, G0S2, Plk2, Plk3, Gsta1 and Gsta2. However, histological signs of precancerous lesions, hepatocyte dysplasia or HCC formation were not observed in the livers of 3-, 6- or 8-month-old hepatocyte-specific CR-1-overexpressing transgenic mice. These findings demonstrate that liver-specific CR-1 overexpression in transgenic mice deregulates signaling pathways and genes associated with HCC.
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Affiliation(s)
- Yu Liu
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China.,Institute of Comparative Medicine and Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
| | - Yan-Qing Li
- Department of Hematology, Central Hospital of Xuhui District, Shanghai 200030, China
| | - Shi-Hao Huang
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Yong-Long Li
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China.,Institute of Comparative Medicine and Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
| | - Jia-Wei Xia
- The Third People's Hospital of Kunming (The Sixth Affiliated Hospital of Dali University), Kunming 650041, China
| | - Jun-Shuang Jia
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Fang Wei
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Jia-Hong Wang
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Guan-Qi Dai
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Yu-Cai Wang
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Xiao-Yan Li
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China.,Institute of Comparative Medicine and Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
| | - Liu-Xin Han
- The Third People's Hospital of Kunming (The Sixth Affiliated Hospital of Dali University), Kunming 650041, China
| | - Xiao-Ling Zhang
- Department of Physiology, Faculty of Basic Medical Sciences, Guilin Medical University, Guilin 541004, China
| | - Xu-Dong Xiang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming 650118, China
| | - Wen-Tao Zhao
- Department of Gastrointestinal Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming 650118, China
| | - Dong Xiao
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China.,Institute of Comparative Medicine and Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
| | - Xiao-Lin Lin
- Cancer Research Institute, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
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Xiao D, Fang TX, Lei Y, Xiao SJ, Xia JW, Lin TY, Li YL, Zhai JX, Li XY, Huang SH, Jia JS, Tian YG, Lin XL, Cai KC, Sun Y. m 6A demethylase ALKBH5 suppression contributes to esophageal squamous cell carcinoma progression. Aging (Albany NY) 2021; 13:21497-21512. [PMID: 34491904 PMCID: PMC8457604 DOI: 10.18632/aging.203490] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 08/13/2021] [Indexed: 12/15/2022]
Abstract
Esophageal squamous cell carcinoma (ESCC) is a highly malignant gastrointestinal cancer with a high recurrence rate and poor prognosis. Although N6-methyladenosine (m6A), the most abundant epitranscriptomic modification of mRNAs, has been implicated in several cancers, little is known about its participation in ESCC progression. We found reduced expression of ALKBH5, an m6A demethylase, in ESCC tissue specimens with a more pronounced effect in T3-T4, N1-N3, clinical stages III-IV, and histological grade III tumors, suggesting its involvement in advanced stages of ESCC. Exogenous expression of ALKBH5 inhibited the in vitro proliferation of ESCC cells, whereas depletion of endogenous ALKBH5 markedly enhanced ESCC cell proliferation in vitro. This suggests ALKBH5 exerts anti-proliferative effects on ESCC growth. Furthermore, ALKBH5 overexpression suppressed tumor growth of Eca-109 cells in nude mice; conversely, depletion of endogenous ALKBH5 accelerated tumor growth of TE-13 cells in vivo. The growth-inhibitory effects of ALKBH5 overexpression are partly attributed to a G1-phase arrest. In addition, ALKBH5 overexpression reduced the in vitro migration and invasion of ESCC cells. Altogether, our findings demonstrate that the loss of ALKBH5 expression contributes to ESCC malignancy.
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Affiliation(s)
- Dong Xiao
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci. & Tech. Co., Ltd., Guangzhou 510515, China
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- National Demonstration Center for Experimental Education of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Ting-Xiao Fang
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Ye Lei
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci. & Tech. Co., Ltd., Guangzhou 510515, China
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Sheng-Jun Xiao
- Department of Pathology, The Second Affiliated Hospital, Guilin Medical University, Guilin 541199, China
| | - Jia-Wei Xia
- The Third People’s Hospital of Kunming, The Sixth Affiliated Hospital of Dali University, Kunming 650041, China
| | - Tao-Yan Lin
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
- Department of Pharmacy, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yong-Long Li
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci. & Tech. Co., Ltd., Guangzhou 510515, China
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jian-Xue Zhai
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Xiao-Yan Li
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci. & Tech. Co., Ltd., Guangzhou 510515, China
| | - Shi-Hao Huang
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Jun-Shuang Jia
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Yu-Guang Tian
- Laboratory Animal Center, Southern Medical University, Guangzhou 510515, China
- Guangzhou Southern Medical Laboratory Animal Sci. & Tech. Co., Ltd., Guangzhou 510515, China
| | - Xiao-Lin Lin
- Guangzhou Key Laboratory of Tumor Immunology Research, Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Kai-Can Cai
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yan Sun
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China
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Song CQ, Jiao XC, Jiang TT, Liang GH, Wang LZ, Xu YH, Huang SH, Chen WQ, Deng Y, Zhang YL. [Prevalence and influencing factors of Enterobius vermicularis infections among children in Fanxian County of Henan Province in 2019]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2021; 33:406-410. [PMID: 34505449 DOI: 10.16250/j.32.1374.2021061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To investigate the prevalence and influencing factors of Enterobius vermicularis infections among children in Fanxian County, Henan Province in 2019, so as to provide insights into the management of enterobiasis. METHODS Five kindergartens were selected in urban and rural areas of Fanxian County, Henan Province using the stratified sampling method in 2019, and a census of E. vermicularis infections was performed among all children in the kindergartens. E. vermicularis eggs were detected using adhesive and scotch cellophane-tape anal swab methods, and the basic characteristics of children and their families, health habits and the kindergartens' information were investigated with questionnaires. Logistic regression analysis was used to investigate the risk factors and protective factors of pinworm infection in children. RESULTS A total of 671 children were tested, and the mean prevalence of E. vermicularis infections was 15.50% (104/671). The prevalence of E. vermicularis infections was higher among children in rural kindergartens (28.13%, 72/256) than in urban kindergartens (7.71%, 32/415) (χ2 = 50.380, P < 0.01), and greater in private kindergartens (32.26%, 60/186) than in public kindergartens (9.07%, 44/485) (χ2 = 55.183, P < 0.01). There was no gender-specific prevalence of E. vermicularis infections among children (χ2 = 1.442, P > 0.05), and the prevalence of E. vermicularis infections presented a tendency towards a rise with age (χ2trend = 8.373, P < 0.05) and school grade (χ2trend = 30.274, P < 0.05). Logistic regression analysis identified rural kindergartens and high grades as risk factors, and separate washing of children's and adults' cloths, frequent bathing and frequent dinnerware disinfection in kindergartens as protective factors for E. vermicularis infections among children. In addition, there was no significant difference in the detection of E. vermicularis infections among children by using adhesive (73.08%, 76/104) and scotch cellophane-tape anal swab methods (56.73%, 59/104) (χ2 = 3.959, P > 0.05). CONCLUSIONS The prevalence of E. vermicularis infection is high among children in Fanxian Country, Henan Province. Health education and surveillance of enterobiasis are required to be intensified among children in rural kindergartens and senior grades and their parents and teachers.
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Affiliation(s)
- C Q Song
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - X C Jiao
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - T T Jiang
- Henan Provincial Center for Disease Control and Prevention, China
| | - G H Liang
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - L Z Wang
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - Y H Xu
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - S H Huang
- Puyang Center for Disease Control and Prevention, Henan Province, Puyang 457000, China
| | - W Q Chen
- Henan Provincial Center for Disease Control and Prevention, China
| | - Y Deng
- Henan Provincial Center for Disease Control and Prevention, China
| | - Y L Zhang
- Henan Provincial Center for Disease Control and Prevention, China
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Huang SH, Chang SW, Wang AY. Gynaecological transurethral resection of the prostate syndrome-induced acute pulmonary oedema treated with high-dose nitro-glycerine: a case report. Hong Kong Med J 2021; 26:339-341. [PMID: 32807737 DOI: 10.12809/hkmj198139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- S H Huang
- Department of Surgery, Taipei Medical University Hospital, Taipei City, Taiwan
| | - S W Chang
- Division of Acute Care Surgery and Traumatology, Department of Surgery, Taipei Medical University Hospital, Taipei City, Taiwan
| | - A Y Wang
- Department of Emergency Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan.,Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan.,Department of Critical Care Medicine, Taipei Medical University Hospital, Taipei City, Taiwan
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38
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Chiu K, Hosni A, Huang SH, Tong L, Xu W, Lu L, Bayley A, Bratman S, Cho J, Giuliani M, Kim J, Ringash J, Waldron J, Spreafico A, Irish J, Gilbert R, Gullane P, Goldstein D, O'Sullivan B, Hope A. The Potential Impact and Usability of the Eighth Edition TNM Staging Classification in Oral Cavity Cancer. Clin Oncol (R Coll Radiol) 2021; 33:e442-e449. [PMID: 34261594 DOI: 10.1016/j.clon.2021.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/15/2021] [Accepted: 05/18/2021] [Indexed: 11/29/2022]
Abstract
AIMS In the current eighth edition head and neck TNM staging, extranodal extension (ENE) is an adverse feature in oral cavity squamous cell cancer (OSCC). The previous seventh edition N1 with ENE is now staged as N2a. Seventh edition N2+ with ENE is staged as N3b in the eighth edition. We evaluated its potential impact on patients treated with surgery and postoperative intensity-modulated radiotherapy (IMRT). MATERIALS AND METHODS OSCC patients treated with primary surgery and adjuvant (chemo)radiotherapy between January 2005 and December 2014 were reviewed. Cohorts with pathological node-negative (pN-), pathological node-positive without ENE (pN+_pENE-) and pathological node-positive with ENE (pN+_pENE+) diseases were compared for local control, regional control, distant control and overall survival. The pN+ cohorts were further stratified into seventh edition N-staging subgroups for outcomes comparison. RESULTS In total, 478 patients were evaluated: 173 pN-; 159 pN+_pENE-; 146 pN+_pENE+. Outcomes at 5 years were: local control was identical (78%) in all cohorts (P = 0.892), whereas regional control was 91%, 80% and 68%, respectively (P < 0.001). Distant control was 97%, 87%, 68% (P < 0.001) and overall survival was 75%, 53% and 39% (P < 0.001), respectively. Overall survival for N1 and N2a subgroups was not significantly different. In the seventh edition N2b subgroup of pENE- (n = 79) and pENE+ (n = 79) cohorts, overall survival was 67% and 37%, respectively. In the seventh edition N2c subgroups, overall survival for pENE- (n = 17) and pENE+ (n = 38) cohorts was 65% and 35% (P = 0.08), respectively. Overall, an additional 128 patients (42% pN+) were upstaged as N3b. CONCLUSIONS When eighth edition staging was applied, stage migration across the N2-3 categories resulted in expected larger separations of overall survival by stage. Patients treated with primary radiation without surgical staging should have outcomes carefully monitored. Strategies to predict ENE preoperatively and trials to improve the outcomes of pENE+ patients should be explored.
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Affiliation(s)
- K Chiu
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada; Department of Head and Neck Oncology, Mount Vernon Cancer Centre, Northwood, London, UK
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - S H Huang
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - L Tong
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - W Xu
- Division of Biostatistics, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - L Lu
- Division of Biostatistics, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - A Bayley
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - S Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J Cho
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - M Giuliani
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J Kim
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - A Spreafico
- Department of Medical Oncology, Princess Margaret Cancer Centre/ University of Toronto, Toronto, Ontario, Canada
| | - J Irish
- Department of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - R Gilbert
- Department of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - P Gullane
- Department of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - D Goldstein
- Department of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - B O'Sullivan
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - A Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada.
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Huang SH, Hsing SC, Sun CA, Chung CH, Tsao CH, Chung RJ, Wang BL, Huang YC, Chien WC. Inequality in Health: The Correlation between Poverty and Injury-A Comprehensive Analysis Based on Income Level in Taiwan: A Cross-Sectional Study. Healthcare (Basel) 2021; 9:349. [PMID: 33803828 PMCID: PMC8003303 DOI: 10.3390/healthcare9030349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 11/28/2022] Open
Abstract
Is income still an obstacle that influences health in Taiwan, the National Health Insurance system was instituted in 1995? After collecting injured inpatient data from the health insurance information of nearly the whole population, we categorized the cases as either low-income or nonlow-income and tried to determine the correlation between poverty and injury. Chi-square tests, Fisher's exact tests, an independent-samples t-test, and percentages were used to identify differences in demographics, causes for hospitalization, and other hospital care variables. Between 1998 and 2015, there were 74,337 inpatients with low-income injuries, which represented 1.6% of all inpatients with injury events. The hospitalization mortality rate for the low-income group was 1.9 times higher than that of the nonlow-income group. Furthermore, the average length of hospital stay (9.9 days), average medical expenses (1681 USD), and mortality rate (3.6%) values for the low-income inpatients were higher than those of the nonlow-income group (7.6 days, 1573 USD, and 2.1%, respectively). Among the injury causes, the percentages of "fall," "suicide," and "homicide" incidences were higher for the low-income group than for the nonlow-income group. These findings support our hypothesis that there is a correlation between poverty and injury level, which results in health inequality. Achieving healthcare equality may require collaboration between the government and private and nonprofit organizations to increase the awareness of this phenomenon.
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Affiliation(s)
- Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Shih-Chun Hsing
- Center for Healthcare Quality Management, Cheng Hsin General Hospital, Taipei 11220, Taiwan
- Department of Health Care Management, College of Health Technology, National Taipei University of Nursing and Heath Sciences, Taipei 10608, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei 24205, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei 24205, Taiwan
| | - Chi-Hsiang Chung
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, National Defense Medical Center, Tri-Service General Hospital, Taipei 11490, Taiwan
| | - Chang-Huei Tsao
- Department of Medical Research, National Defense Medical Center, Tri-Service General Hospital, Taipei 11490, Taiwan
- Department of Microbiology & Immunology, National Defense Medical Center, Taipei 11490, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
| | - Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology (Taipei Tech), Taipei 10608, Taiwan
| | - Wu-Chien Chien
- School of Public Health, National Defense Medical Center, Taipei 11490, Taiwan
- Department of Medical Research, National Defense Medical Center, Tri-Service General Hospital, Taipei 11490, Taiwan
- The Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 11490, Taiwan
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Lin SM, Wang XJ, Huang SH, Xu ZB, Huang Y, Lu XR, Xu DB, Chi P. [Construction of artificial neural network model for predicting the efficacy of first-line FOLFOX chemotherapy for metastatic colorectal cancer]. Zhonghua Zhong Liu Za Zhi 2021; 43:202-206. [PMID: 33601485 DOI: 10.3760/cma.j.cn112152-20200419-00355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore and establish an artificial neural network (ANN) model for predicting the efficacy of first-line FOLFOX chemotherapy for metastatic colorectal cancer. Methods: A set of FOLFOX chemotherapy data from a group of patients with metastatic colorectal cancer (mCRC) (GSE104645) was downloaded from the GEO database as a training set. According to the FOLFOX protocol, the efficacy was divided into two groups: the chemo-sensitive group (including complete response and partial response) and the chemo-resistant group (including stable disease and progressive disease), including 31 cases in the sensitive group and 23 in the resistant group. Then, chip data (accessible number: GSE69657) from Fujian Medical University Union Hospital were chosen as a test set. A total of 30 patients were enrolled in the study, including 13 in the sensitive group and 17 in the resistant group. The batch effect correction was performed on the expression values of the two sets of matrices using the R 3.5.1 software Combat package. The gene expression difference of sensitive and resistant group in GSE104645 was analyzed by the GEO2R platform. P<0.05 and the absolute value of log(2)FC>0.33 (FC abbreviation of fold change) were used as the threshold value to screen the drug resistance and sensitive genes of the FOLFOX regimen. An ANN was constructed using the multi-layer perceptron (MLP) to perform the FOLFOX regimen on the GSE104645 dataset. The GSE69657 expression matrix and clinical efficacy parameters were then used for retrospective verification. Receiver operating characteristic(ROC) curves were used to evaluate the test results and predictive power. Results: A total of 2, 076 differentially expressed genes in GSE104645 were selected, of which 822 genes were up-regulated and 1, 254 genes were down-regulated in the chemo-resistance group. The down-regulated genes were sensitive genes. GO analysis of the biological processes in which the differentially expressed genes were involved, revealed that they were mainly involved in the regulation of substance metabolism. A total of 39 genes were included in the final model construction. This was a neural network model with two hidden layers. The accuracy of predicting training samples and test samples was 75.7% and 76.5%, respectively, and the area under the ROC curve was 0.875. The chip data set of our department (GSE69657) was set as the test set, and the area under the ROC curve was 0.778. Conclusions: In this study, an artificial neural network model is successfully constructed to predict the efficacy of first-line FOLFOX regimen for metastatic colorectal cancer based on the microarray, and an independent external verification is also conducted. The model has good stability and well prediction efficiency. Besides, the results of this study suggest that the gene functions related to oxaliplatin resistance are mainly enriched in the regulation process of substance metabolism.
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Affiliation(s)
- S M Lin
- Department of Gastrointestinal Surgery, Fujian Medical University Longyan First Hospital, Longyan 364000, China
| | - X J Wang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - S H Huang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Z B Xu
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Y Huang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - X R Lu
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - D B Xu
- Department of Gastrointestinal Surgery, Fujian Medical University Longyan First Hospital, Longyan 364000, China
| | - P Chi
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350000, China
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Huang YC, Chien WC, Chung CH, Chang HA, Kao YC, Wan FJ, Huang SH, Chung RJ, Wang RS, Wang BL, Tzeng NS, Sun CA. Risk of Psychiatric Disorders in Multiple Sclerosis: A Nationwide Cohort Study in an Asian Population. Neuropsychiatr Dis Treat 2021; 17:587-604. [PMID: 33654401 PMCID: PMC7910105 DOI: 10.2147/ndt.s268360] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/18/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a demyelinating disease that can damage neurons in the brain and spinal cord and is associated with several psychiatric disorders. However, few studies have evaluated the risk of psychiatric disorders in patients with MS by using a nationwide database. This study investigated the association between MS and the risk of psychiatric disorders. METHODS Using data from the Taiwan National Health Insurance Research Database from 2000 to 2015, we identified 1066 patients with MS. After adjustment for confounding factors, Fine and Gray's competing risk model was used to compare the risk of psychiatric disorders during 15 years of follow-up. RESULTS Of the patients with MS, 531 (4622.86 per 105 person years) developed psychiatric disorders; by contrast, 891 of the 3198 controls (2485.31 per 105 person years) developed psychiatric disorders. Fine and Gray's competing risk model revealed an adjusted hazard ratio (HR) of 5.044 (95% confidence interval = 4.448-5.870, p < 0.001) after adjustment for all the covariates. MS was associated with depression, anxiety, bipolar disorder, sleep disorders, schizophrenia, schizophreniform disorder, and other psychotic disorders (adjusted HR: 12.464, 4.650, 6.987, 9.103, 2.552, 2.600, 2.441, and 2.574, respectively; all p < 0.001). Some disease-modifying drugs were associated with a lower risk of anxiety or depression. CONCLUSION Patients with MS were determined to have a higher risk of developing a wide range of psychiatric disorders.
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Affiliation(s)
- Yao-Ching Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan
| | - Wu-Chien Chien
- School of Public Health, National Defense Medical Center, Taipei, Taiwan.,Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan.,Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Chi-Hsiang Chung
- School of Public Health, National Defense Medical Center, Taipei, Taiwan.,Department of Medical Research, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.,Taiwanese Injury Prevention and Safety Promotion Association, Taipei, Taiwan
| | - Hsin-An Chang
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Student Counseling Center, National Defense Medical Center, Taipei, Taiwan
| | - Yu-Chen Kao
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Department of Psychiatry, Tri-Service General Hospital, Song-Shan Branch, National Defense Medical Center, Taipei, Taiwan
| | - Fang-Jung Wan
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Shi-Hao Huang
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan
| | - Ren-Jei Chung
- Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan
| | - Richard S Wang
- Program of Data Analytic and Business Computing, Stern School of Business, New York University, USA
| | - Bing-Long Wang
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Nian-Sheng Tzeng
- Student Counseling Center, National Defense Medical Center, Taipei, Taiwan.,Department of Psychiatry, Tri-Service General Hospital, Song-Shan Branch, National Defense Medical Center, Taipei, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.,Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
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Huang Y, Huang SH, Chi P, Wang XJ, Lin HM, Lu XR, Ye DX, Lin Y, Deng Y. [Rectum-preserving surgery after consolidation neoadjuvant therapy or totally neoadjuvant therapy for low rectal cancer: a preliminary report]. Zhonghua Wei Chang Wai Ke Za Zhi 2020; 23:281-288. [PMID: 32192308 DOI: 10.3760/cma.j.cn.441530-20200228-00096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the feasibility and safety of sphincter-preserving surgery after neoadjuvant chemoradiotherapy (nCRT) with consolidation chemotherapy in the interval period or total neoadjuvant therapy (TNT) for low rectal cancer. Methods: A descriptive case series study was carried out. Clinical data of patients with locally advanced low rectal cancer (LALRC) who achieved complete clinical response (cCR) or nearly cCR (near-cCR) after nCRT at the Department of Colorectal Surgery of Fujian Medical University Union Hospital from May 2015 to February 2019 were retrospectively analyzed. Case inclusion criteria: (1) Low rectal adenocarcinoma within 6 cm from the anal verge. (2) After nCRT, tumor presented markedly regression as mucosal nodule or abnormalities, superficial ulcer, scar or a mucosal erythema (< 2 cm); no regional lymph node metastasis or distant metastasis was found in rectal ultrasonography, pelvic MRI and PET-CT; MRI showed obvious fibrosis in the original tumor site; and post-treatment CEA was normal. (3) The patient and the family members adhered to receive the transanal full-thickness local excision with informed consent. (4) When the residual lesions were difficult to detect after nCRT, patients received the watch and wait (W&W) strategy. Exclusion criteria: (1) Before nCRT, pathological results showed poorly differentiated or signet-ring cell carcinoma; lateral lymph node metastasis was suspected. (2) When the residual lesion size was more than 3 cm after nCRT, it was difficult to perform local excision. The consolidation nCRT group received 3-4 cycles of CAPOX regimen (oxaliplatin and capecitabine) or six cycles of mFOLFOX6 (oxaliplatin, leucovorin, and 5-fluorouracil) combined with the long-course radiotherapy (intensity-modulated radiation therapy with a total dose of 50.4Gy). Patients with concurrent chemotherapy more than or equal to five cycles of CAPOX or eight cycles of mFOLFOX6 were defined as total neoadjuvant therapy (TNT) group. Local resection was recommended for patients who were near-cCR according to modified MSKCC criteria 8-33 weeks after the end of radiotherapy. Patients with a near-cCR, who were judged as ycN0 according to PET-CT and MRI and were ypT0 after local excision, could enter the W&W strategy. Patients with pathologic stage more advanced than ypT1, and those with positive resection margin, or lymphovascular invasion were recommended for salvage radical surgery after local excision. The ypT1 patients with a negative resection margin and without lymphovascular invasion might receive the W&W management carefully if they refused radicalsurgery to sacrifice the sphincter for low rectal cancer. Results: Of 32 patients, 14 were males and 18 were females with the average age of 59 years old. Twenty-three patients underwent consolidation nCRT, and 9 received TNT. The first evaluation after treatments showed 19 cases with cCR and 13 with near-cCR. Twenty-nine patients received local excision while 3 patients with undetectable lesions received W&W policy. Four cases (12.5%) underwent salvage radical surgery with abdominoperineal resection. After local excision, 3 cases underwent salvage radical surgery immediately, and the final pathologic result was ypT3N0, ypT2N0, and ypT2N0 respectively, of whom 2 cases were in the group of consolidation CRT and 1 was in the TNT group. Of these 3 cases, 1 case with an initial cT3 stage showed a pathologic stage of ypT1 and a negative circumferential resection margin after consolidation nCRT and local excision, however, the final pathologic stage was ypT3 with fragmented tumor deposits in the mesorectum after the salvage radical surgery. Meanwhile 1 patient in the TNT group receiving W&W suffered from intraluminal regrowth after 7.4 months follow-up and underwent salvage abdominoperineal resection. One patient in the consolidation nCRT group died of stroke 42.5 months after local resection. Another patient in the TNT group had cerebral metastasis 10 months after the W&W policy, but no local recurrence was found in the pelvic cavity, then received resection of the metastatic tumors. The average follow-up for all the patients was 23 (5-51) months. The cumulative local regrowth rate was 5.0%. The overall survival rate was 85.7%, and the sphincter-preservation rate was increased from 25.0% (28/32) in the original plan to 87.5% (28/32) actually. The 3-year disease-free survival rate was 89.7%. The 3-year organ-preserving survival rate was 85.7%, and the 3-year stoma-free survival rate was 82.5%. At present, 31 patients still survived. Conclusions: After nCRT with consolidation chemotherapy or TNT for low rectal cancer, patients with cCR, ycN0 according to PET-CT and MRI, and ypT0 after local excision, can consider the W&W strategy. Strict patient selection with a near-cCR for local resection and sphincter-preserving strategy can reduce the local regrowth of cancer, and the short-term outcomes are satisfactory.
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Affiliation(s)
- Y Huang
- Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China
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Lukovic J, Alfaraj FA, Mierzwa ML, Marta GN, Xu W, Su J, Moraes FY, Huang SH, Bratman SV, O'Sullivan B, Kim JJ, Ringash JG, Waldron J, de Almeida JR, Goldstein DP, Casper KA, Rosko AJ, Spector ME, Kowalski LP, Hope A, Hosni A. Development and validation of a clinical prediction-score model for distant metastases in major salivary gland carcinoma. Ann Oncol 2020; 31:295-301. [PMID: 31959347 DOI: 10.1016/j.annonc.2019.10.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Revised: 10/15/2019] [Accepted: 10/25/2019] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The most common pattern of failure in major salivary gland carcinoma (SGC) is development of distant metastases (DMs). The objective of this study was to develop and validate a prediction score for DM in SGC. PATIENTS AND METHODS Patients with SGC treated curatively at four tertiary cancer centers were divided into discovery (n = 619) and validation cohorts (n = 416). Multivariable analysis using competing risk regression was used to identify predictors of DM in the discovery cohort and create a prediction score of DM; the optimal score cut-off was determined using a minimal P value approach. The prediction score was subsequently evaluated in the validation cohort. The cumulative incidence and Kaplan-Meier methods were used to analyze DM and overall survival (OS), respectively. RESULTS In the discovery cohort, DM predictors (risk coefficient) were: positive margin (0.6), pT3-4 (0.7), pN+ (0.7), lymphovascular invasion (0.8), and high-risk histology (1.2). High DM-risk SGC was defined by sum of coefficients greater than two. In the discovery cohort, the 5-year incidence of DM for high- versus low-risk SGC was 50% versus 8% (P < 0.01); this was similar in the validation cohort (44% versus 4%; P < 0.01). In the pooled cohorts, this model performed similarly in predicting distant-only failure (40% versus 6%, P < 0.01) and late (>2 years post surgery) DM (22% versus 4%; P < 0.01). Patients with high-risk SGC had an increased incidence of DM in the subgroup receiving postoperative radiation therapy (46% versus 8%; P < 0.01). The 5-year OS for high- versus low-risk SGC was 48% versus 92% (P < 0.01). CONCLUSION This validated prediction-score model may be used to identify SGC patients at increased risk for DM and select those who may benefit from prospective evaluation of treatment intensification and/or surveillance strategies.
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Affiliation(s)
- J Lukovic
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - F A Alfaraj
- Department of Radiation Oncology, BC Cancer Agency Centre for the North, Prince George, Canada
| | - M L Mierzwa
- Department of Radiation Oncology, University of Michigan, Ann Arbor, USA
| | - G N Marta
- Department of Radiation Oncology, Hospital Sírio-Libanês, Sao Paulo, Brazil
| | - W Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada
| | - J Su
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada
| | - F Y Moraes
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - S H Huang
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - S V Bratman
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - B O'Sullivan
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - J J Kim
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - J G Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - J Waldron
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - J R de Almeida
- Department of Otolaryngology-Head & Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - D P Goldstein
- Department of Otolaryngology-Head & Neck Surgery/Surgical Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - K A Casper
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, USA
| | - A J Rosko
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, USA
| | - M E Spector
- Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, USA
| | - L P Kowalski
- Department of Head and Neck Surgery and Otorhinolaryngology, A.C. Camargo Cancer Center, Sao Paulo, Brazil
| | - A Hope
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada
| | - A Hosni
- Department of Radiation Oncology, Princess Margaret Cancer Centre/University Health Network, University of Toronto, Toronto, Canada.
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Wang XJ, Yu Q, Chi P, Lin HM, Lu XR, Huang Y, Xu ZB, Huang SH, Sun YW, Ye DX. [Identification of gene biomarkers to predict responses to neoadjuvant chemoradiotherapy in patients with rectal cancer and pathways enrichment analysis]. Zhonghua Wei Chang Wai Ke Za Zhi 2019; 22:1183-1187. [PMID: 31874536 DOI: 10.3760/cma.j.issn.1671-0274.2019.12.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To screen out the potential gene biomarkers to predict responses to neoadjuvant chemoradiotherapy (CRT) in patients with rectal cancer and to explore the main downstream pathways of resistance. Methods: The gene expression profiles (GSE35452) of locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy from 46 specimens (24 responders, TRG 0/1, and 22 non-responders, TRG 2/3) were downloaded from the GEO database. The differentially expressed genes were identified to screen out the potential biomarkers by use of the GCBI platform. GO and KEGG pathways enrichment analysis were performed to integrate enrichment results of differentially expressed genes. Signal-signal interaction network was constructed and analyzed to screen out potential main downstream pathways. Results: A total of 1079 differentially expressed genes were screened, including 657 up-regulated and 422 down-regulated ones. Among these genes, REG4 had the maximum fold change value of -6.029 491. In GO term, these differentially expressed genes were mainly enriched in molecule metabolic process, cell cycle, DNA-dependent transcription, signal transduction and apoptotic process. The KEGG pathways enrichment analysis showed that the differentially expressed genes were enriched in 65 KEGG pathways, including metabolic pathways, cell cycle and metabolism pathways. Signal-signal interaction network analysis showed that MAPK signaling pathway and cell cycle pathway might play a determinant role in the development of neoadjuvant chemoradiotherapy resistance. Further analysis showed that CDKN1B, CDKN2A, RBL1, TFDP1, CCND2, CCNE2, CDC6 and CDK6 in cell cycle might induce chemoradiotherapy resistance by blocking G1/S phase cell cycle arrest, decreasing the apoptosis of tumor cells and increasing S phase ratio of chemoradiotherapy resistance. Conclusion: G1/S phase cell cycle arrest blocking plays an important role in the development of chemoradiotherapy resistance in patients with rectal cancer. Moreover, the key genes, such as REG4, may be useful in predicting responses to neoadjuvant chemoradiotherapy.
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Affiliation(s)
- X J Wang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Q Yu
- Department of Pathology, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - P Chi
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - H M Lin
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - X R Lu
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Y Huang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Z B Xu
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - S H Huang
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - Y W Sun
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
| | - D X Ye
- Department of Colorectal Surgery, Union Hospital, Fujian Medical University, Fuzhou 350001, China
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Hu LJ, Jiang T, Wang FJ, Huang SH, Cheng XM, Jia YQ. [Effects of artesunate combined with bortezomib on apoptosis and autophagy of acute myeloid leukemia cells in vitro and its mechanism]. Zhonghua Xue Ye Xue Za Zhi 2019; 40:204-208. [PMID: 30929387 PMCID: PMC7342538 DOI: 10.3760/cma.j.issn.0253-2727.2019.03.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Indexed: 01/07/2023]
Abstract
Objective: To investigate the effects of artesunate combined with bortezomib on the proliferation, apoptosis and autophagy of human acute myeloid leukemia cell lines MV4-11, and its mechanisms. Methods: MTT method was used to determine the anti-proliferation effect of different concentrations of artesunate, bortezomib and their combination on MV4-11 cells. The cell apoptosis were analyzed by flow cytometry. The expression of cleaved-Caspase-3, Bcl-2 family protein (Bcl-2, Mcl-1, Bim, Bax) and autophagy-related protein LC3B were assayed by Western blot. Results: Artesunate displayed a proliferation inhibition effect on MV4-11 with dose- and time-dependent manner, the IC(50) of artesunate on MV4-11 after 48 hours was 1.44 μg/ml. Bortezomib displayed a proliferation inhibition effect on MV4-11 with dose-dependent manner, the IC(50) of bortezomib on MV4-11 after 48 hours was 8.97 nmol/L. The combination of artesunate (0.75, 1.0 μg/ml) and Bortezomib (6, 8 nmol/L) showed higher inhibition on MV4-11 than artesunate or bortezomib alone in the same concentration gradient after 48 hours (P<0.05) . The cooperation index of the two drugs were all less than 1. The 48 h apoptotic rate of artesunate (1.5 μg/ml) on MV4-11 was (15.27±2.18) %, (19.85±3.23) % of bortezomib (8 nmol/L) , (81.67±5.96) % of combination of the two drugs, significantly higher than the single group (P<0.05) . When combination of the two drugs on MV4-11 after 24 hours, the levels of pro-apoptotic protein Bim and the cleaved activation of Caspase-3 and autophagy-related protein LC3B were up-regulated and the anti-apoptotic protein Bcl-2 expressions was down-regulated. Conclusion: Combination of artesunate with bortezomib shows a significant synergistic effects on proliferation, apoptosis and autophagy of MV4-11 cell lines, which may be associated with Bcl-2 family proteins expression.
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Affiliation(s)
- L J Hu
- Department of Hematology, Hematology Laboratory, Western China Hospital, Sichuan University, Chengdu 610041, China
| | - T Jiang
- Department of Hematology, The People's Hospital of Sichuan Province, Chengdu 610072, China
| | - F J Wang
- Department of Hematology, Hematology Laboratory, Western China Hospital, Sichuan University, Chengdu 610041, China
| | - S H Huang
- Department of Hematology, The Second People's Hospital of Yibin, Yibin 644000, Sichuan Province, China
| | - X M Cheng
- Department of Hematology, Chengdu Military General Hospital, Chengdu 610083, China
| | - Y Q Jia
- Department of Hematology, Hematology Laboratory, Western China Hospital, Sichuan University, Chengdu 610041, China
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Huang SH, Zheng QQ, Xie WM, Lin JY, Huang W, Li C, Qi DF. Enhanced indirect-to-direct inter-valley scattering in germanium under tensile strain for improving the population of electrons in direct valley. J Phys Condens Matter 2018; 30:465701. [PMID: 30265248 DOI: 10.1088/1361-648x/aae50e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
A theoretical model is proposed to analyze the inter-valley electron transferring between direct Γ and indirect L valleys, which sheds light on the electron conduction dynamics in (0 0 1) tensile strained Ge. Inter-valley scattering is included to calculate average scattering time between Γ and L valleys based on a time-dependent Hamiltonian describing the electron-phonon interaction. Numerical results indicate that enhanced indirect-to-direct inter-valley scattering and reduced direct-to-indirect inter-valley scattering are reliable by introducing tensile strain in Ge material. The population ratio of electrons in Γ and L valleys in strained Ge will increase one to two orders of magnitude compared to the model without the inter-valley scattering. The results offer fundamental understanding of phonon engineering for further improvement of performance in strained germanium light sources.
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Affiliation(s)
- Shi-Hao Huang
- Research Center for Microelectronics Technology, Fujian University of Technology, Fuzhou, Fujian 350118, People's Republic of China
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Huang SH, Zhang T, Zhao CG, Qin J, Qi P, Li FT, He XJ. Aclidinium bromide inhibits human glioma cell proliferation, migration and invasion and promotes apoptosis via the PI3K/AKT signaling pathway. Neoplasma 2018; 65:865-871. [PMID: 29940755 DOI: 10.4149/neo_2018_171117n705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 03/15/2018] [Indexed: 11/08/2022]
Abstract
This study investigates the anti-cancer potential of Aclidinium bromide (INN) in glioblastoma. Glioblastoma cell lines U251 and U87 were treated with INN and its effects on cell migration and invasion were assessed by transwell migration and invasion assays., The effects of INN on proliferation and apoptosis were detected by CCK-8 kit and flow cytometry, and Western blotting determined anti-apoptotic proteins and signaling pathway changes. The results show that INN effectively suppressed proliferation, migration and invasion and induced apoptosis in U251 and U87 cells, respectively. Furthermore, the expression levels of the Bcl-2 anti-apoptotic protein was significantly decreased while Bax and caspase-3 expression were both increased in glioblastoma cells (all, p<0.05). Moreover, INN inactivated the PI3K/AKT signaling pathway by down-regulating the level of p-AKT, p-mTOR, P70 and CyclinD1 (all, p<0.05). In conclusion, our data suggests that INN could provide novel anticancer therapy in the treatment of glioblastoma.
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Affiliation(s)
- S H Huang
- Department of Orthopedics, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - T Zhang
- Department of Orthopedics, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - C G Zhao
- Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - J Qin
- Department of Orthopedics, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - P Qi
- Tangdu Hospital, Medical University of the Air Force, Xi'an, China
| | - F T Li
- Department of Orthopedics, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
| | - X J He
- Department of Orthopedics, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China
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Weimar EAM, Huang SH, Lu L, O'Sullivan B, Perez-Ordonez B, Weinreb I, Hope A, Tong L, Goldstein D, Irish J, de Almeida JR, Bratman S, Xu W, Yu E. Radiologic-Pathologic Correlation of Tumor Thickness and Its Prognostic Importance in Squamous Cell Carcinoma of the Oral Cavity: Implications for the Eighth Edition Tumor, Node, Metastasis Classification. AJNR Am J Neuroradiol 2018; 39:1896-1902. [PMID: 30166432 DOI: 10.3174/ajnr.a5782] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Accepted: 07/09/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Addressing the performance of an imaging-based parameter compared to a "gold standard" pathologic measurement is essential to achieve accurate clinical T-classification. Our aim was to determine the radiologic-pathologic tumor thickness correlation and its prognostic value in oral squamous cell carcinoma. MATERIALS AND METHODS All pathologic T1-T3 (seventh edition of the Cancer Staging Manual of the American Joint Committee on Cancer) oral squamous cell carcinomas diagnosed between 2010 and 2015 were reviewed. Radiologic tumor thickness was measured on preoperative CT or MR imaging blinded to pathology. The radiologic-pathologic tumor thickness correlation was calculated. The impact of the imaging-to-surgery time interval and imaging technique on the correlation was explored. Intra-/interrater reliability on radiologic tumor thickness was calculated. The correlation of radiologic-versus-pathologic tumor thickness and its performance as the seventh edition T-category modifier was evaluated. Multivariable analysis assessed the prognostic value of the radiologic tumor thickness for overall survival adjusted for age, seventh edition T-category, and performance status. RESULTS For 354 consecutive patients, the radiologic-pathologic tumor thickness correlation was similar for the image-to-surgery interval of ≤4.0 weeks (ρ = 0.76) versus 4-8 weeks (ρ = 0.80) but lower in those with more than an 8-week interval (ρ = 0.62). CT and MR imaging had similar correlations (0.76 and 0.80). Intrarater and interrater reliability was excellent (0.88 and 0.84). Excluding 19 cases with an imaging-to-surgery interval of >8 weeks, 335 patients were eligible for further analysis. The radiologic-pathologic tumor thickness correlation was 0.78. The accuracy for upstaging the T-classification based on radiologic tumor thickness was 83% for pathologic T1 and 74% for pathologic T2 tumors. Multivariable analysis confirmed the prognostic value of radiologic tumor thickness (hazard ratio = 1.5, P = .02) for overall survival. CONCLUSIONS This study demonstrates a good radiologic-pathologic tumor thickness correlation. Intrarater and interrater reliability for radiologic tumor thickness was excellent. Radiologically thicker tumor was predictive of inferior survival.
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Affiliation(s)
- E A M Weimar
- From the Departments of Neuroradiology and Head and Neck Imaging (E.A.M.W., E.Y.)
| | - S H Huang
- Radiation Oncology (S.H.H., B.O., A.H., L.T., S.B.)
| | - L Lu
- Biostatistics (L.L., W.X.)
| | - B O'Sullivan
- Radiation Oncology (S.H.H., B.O., A.H., L.T., S.B.)
| | | | | | - A Hope
- Radiation Oncology (S.H.H., B.O., A.H., L.T., S.B.)
| | - L Tong
- Radiation Oncology (S.H.H., B.O., A.H., L.T., S.B.)
| | - D Goldstein
- Otolaryngology-Head and Neck Surgery/Surgical Oncology (D.G., J.I., J.R.d.A.), Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J Irish
- Otolaryngology-Head and Neck Surgery/Surgical Oncology (D.G., J.I., J.R.d.A.), Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - J R de Almeida
- Otolaryngology-Head and Neck Surgery/Surgical Oncology (D.G., J.I., J.R.d.A.), Princess Margaret Cancer Centre/University of Toronto, Toronto, Ontario, Canada
| | - S Bratman
- Radiation Oncology (S.H.H., B.O., A.H., L.T., S.B.)
| | - W Xu
- Biostatistics (L.L., W.X.)
| | - E Yu
- From the Departments of Neuroradiology and Head and Neck Imaging (E.A.M.W., E.Y.)
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen XR, Chen YB, Chu XK, Cibinetto G, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dorjkhaidav O, Dou ZL, Du SX, Duan PF, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Haddadi Z, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu T, Hu Y, Huang GS, Huang JS, Huang SH, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Khan T, Khoukaz A, Kiese P, Kliemt R, Koch L, Kolcu OB, Kopf B, Kornicer M, Kuemmel M, Kuhlmann M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li KJ, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Morello G, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Richter M, Ripka M, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song JJ, Song WM, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang GY, Tang X, Tapan I, Tiemens M, Tsednee BT, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang D, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Wei JH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao D, Xiao H, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YH, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu J, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of a_{0}^{0}(980)-f_{0}(980) Mixing. Phys Rev Lett 2018; 121:022001. [PMID: 30085761 DOI: 10.1103/physrevlett.121.022001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 06/08/2018] [Indexed: 06/08/2023]
Abstract
We report the first observation of a_{0}^{0}(980)-f_{0}(980) mixing in the decays of J/ψ→ϕf_{0}(980)→ϕa_{0}^{0}(980)→ϕηπ^{0} and χ_{c1}→a_{0}^{0}(980)π^{0}→f_{0}(980)π^{0}→π^{+}π^{-}π^{0}, using data samples of 1.31×10^{9} J/ψ events and 4.48×10^{8} ψ(3686) events accumulated with the BESIII detector. The signals of f_{0}(980)→a_{0}^{0}(980) and a_{0}^{0}(980)→f_{0}(980) mixing are observed at levels of statistical significance of 7.4σ and 5.5σ, respectively. The corresponding branching fractions and mixing intensities are measured and the constraint regions on the coupling constants, g_{a_{0}K^{+}K^{-}} and g_{f_{0}K^{+}K^{-}}, are estimated. The results improve the understanding of the nature of a_{0}^{0}(980) and f_{0}(980).
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - S Ahmed
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Albrecht
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Alekseev
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - A Amoroso
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F F An
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Z Bai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | | | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - D W Bennett
- Indiana University, Bloomington, Indiana 47405, USA
| | - J V Bennett
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - J M Bian
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - F Bianchi
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - E Boger
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - O Cakir
- Ankara University, 06100 Tandogan, Ankara, Turkey
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - J Chai
- INFN, I-10125, Turin, Italy
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J C Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X R Chen
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X K Chu
- Peking University, Beijing 100871, People's Republic of China
| | - G Cibinetto
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - C Dong
- Nankai University, Tianjin 300071, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - O Dorjkhaidav
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - Z L Dou
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - P F Duan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Fang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
- University of Ferrara, I-44122 Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - S Fegan
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - F Feldbauer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | | | - M Fritsch
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q Gao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X L Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Gao
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y G Gao
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - B Garillon
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Garzia
- INFN Sezione di Ferrara, I-44122 Ferrara, Italy
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Nankai University, Tianjin 300071, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Greco
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Gu
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - A Q Guo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Guo
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Z Haddadi
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - S Han
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Q He
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | | | - T Held
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C Hu
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J S Huang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - S H Huang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - X Z Huang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Z L Huang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | | | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Jiang
- Nankai University, Tianjin 300071, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - D P Jin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Jin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - A Julin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - X L Kang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X S Kang
- Nankai University, Tianjin 300071, People's Republic of China
| | - M Kavatsyuk
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - B C Ke
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T Khan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Straße 9, 48149 Muenster, Germany
| | - P Kiese
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Koch
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - O B Kolcu
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kornicer
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - M Kuemmel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuhlmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Kupsc
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J S Lange
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - M Lara
- Indiana University, Bloomington, Indiana 47405, USA
| | - P Larin
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Leng
- INFN, I-10125, Turin, Italy
| | - C Li
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - F Y Li
- Peking University, Beijing 100871, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J C Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Jin Li
- Seoul National University, Seoul 151-747, Korea
| | - K Li
- Shandong University, Jinan 250100, People's Republic of China
| | - K Li
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - K J Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - P L Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P R Li
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Y Li
- Shandong University, Jinan 250100, People's Republic of China
| | - T Li
- Shandong University, Jinan 250100, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - X N Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X Q Li
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z B Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - D X Lin
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - B Liu
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H H Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H H Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Liu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - Ke Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - L D Liu
- Peking University, Beijing 100871, People's Republic of China
| | - P L Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zhiqing Liu
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y F Long
- Peking University, Beijing 100871, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X N Ma
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y M Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - G Mezzadri
- University of Ferrara, I-44122 Ferrara, Italy
| | - J Min
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - T J Min
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y J Mo
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - C Morales Morales
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - G Morello
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - N Yu Muchnoi
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - H Muramatsu
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - A Mustafa
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - I B Nikolaev
- G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS Institute of Information Technology, Lahore, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - S L Niu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X Y Niu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S L Olsen
- Seoul National University, Seoul 151-747, Korea
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN and University of Perugia, I-06100 Perugia, Italy
| | - Y Pan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Papenbrock
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, I-00044 Frascati, Italy
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - J Pellegrino
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J Pettersson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Pitka
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Poling
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Prasad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Beihang University, Beijing 100191, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Qin
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X S Qin
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K H Rashid
- University of the Punjab, Lahore-54590, Pakistan
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Richter
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Ripka
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Savrié
- University of Ferrara, I-44122 Ferrara, Italy
| | - C Schnier
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - W Shan
- Peking University, Beijing 100871, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Beihang University, Beijing 100191, People's Republic of China
| | - P X Shen
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Y Sheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Song
- Shandong University, Jinan 250100, People's Republic of China
| | - W M Song
- Shandong University, Jinan 250100, People's Republic of China
| | - X Y Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Sosio
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - C Sowa
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Spataro
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X H Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y K Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z J Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z T Sun
- Indiana University, Bloomington, Indiana 47405, USA
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - I Tapan
- Uludag University, 16059 Bursa, Turkey
| | - M Tiemens
- KVI-CART, University of Groningen, NL-9747 AA Groningen, Netherlands
| | - B T Tsednee
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - I Uman
- Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
| | - G S Varner
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D Wang
- Peking University, Beijing 100871, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - Dan Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L S Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - P L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X F Wang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y Wang
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y D Wang
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Q Wang
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z G Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z H Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Weber
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - J H Wei
- Nankai University, Tianjin 300071, People's Republic of China
| | - P Weidenkaff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - U Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Xia
- Hunan University, Changsha 410082, People's Republic of China
| | - D Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Xiao
- University of South China, Hengyang 421001, People's Republic of China
| | - Y J Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X H Xie
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - X A Xiong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q L Xiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - Q N Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - L Yan
- University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Beihang University, Beijing 100191, People's Republic of China
| | - Y H Yan
- Hunan University, Changsha 410082, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Yang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Y H Yang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y X Yang
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - J S Yu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Yuncu
- Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - Z Zeng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C C Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J L Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Q Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Zhang
- Tsinghua University, Beijing 100084, People's Republic of China
| | - S Q Zhang
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y T Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yu Zhang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z H Zhang
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - Z P Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J W Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - Q Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - T C Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W J Zheng
- Shandong University, Jinan 250100, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - L Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Y Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhu
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - X L Zhu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y S Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Zhuang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - B S Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
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Song XD, Liu CJ, Huang SH, Li XR, Yang E, Luo YY. Cloning, expression and characterization of two S-ribosylhomocysteine lyases from Lactobacillus plantarum YM-4-3: Implication of conserved and divergent roles in quorum sensing. Protein Expr Purif 2018; 145:32-38. [PMID: 29305177 DOI: 10.1016/j.pep.2017.12.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 11/03/2017] [Accepted: 12/27/2017] [Indexed: 12/31/2022]
Abstract
Quorum sensing (QS) is a means of cell-to-cell communication that regulates, via small signalling molecules, expression of a series of genes and controls multicellular behaviour in many bacterial species. The enzyme S-ribosylhomocysteine lyase (LuxS) transforms S-ribosylhomocysteine (SRH) into 4, 5-dihydroxy-2, 3-pentanedione (DPD), the precursor of the interspecies QS signalling molecule autoinducer-2 (AI-2). In this study, two LuxS-coding genes, luxS1 and luxS2, with 70% sequence identity were isolated from Lactobacillus plantarum YM-4-3, and overexpressed in Escherichia coli BL21 (DE3), and the protein products were purified successfully. After incubation of LuxS1 or LuxS2 with SRH, the reaction products were able to induce Vibrio harveyi BB170 bioluminescence, clearly demonstrating that both LuxS1 and LuxS2 synthesize AI-2 from SRH in vitro. Ellman's assay results revealed optimal temperatures for LuxS1 and LuxS2 of 45 and 37 °C, respectively, and their activities were stimulated or inhibited by several metal ions and chemical reagents. In addition, enzyme kinetics data showed that Km, Vmax and Kcat value of LuxS1 for the substrate (SRH) were higher than that of LuxS2. These results suggest that LuxS1 and LuxS2 mediate QS in a temperature-dependent manner and may play conserved roles in AI-2 synthesis but exhibit different activities in response to external environmental stress. To our knowledge, this paper is the first report of two luxS genes present in one bacterial genome and the subsequent comparative elucidation of their functions in AI-2 production. Collectively, our study provides a solid basis for future research concerning the AI-2/LuxS QS system in L. plantarum YM-4-3.
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Affiliation(s)
- Xiao-Dong Song
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China
| | - Chen-Jian Liu
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China
| | - Shi-Hao Huang
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China
| | - Xiao-Ran Li
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China
| | - En Yang
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China
| | - Yi-Yong Luo
- Laboratory of Applied Microbiology, Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, PR China.
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