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Yu J, Zhang K, Chen T, Lin R, Chen Q, Chen C, Tong M, Chen J, Yu J, Lou Y, Xu P, Zhong C, Chen Q, Sun K, Liu L, Cao L, Zheng C, Wang P, Chen Q, Yang Q, Chen W, Wang X, Yan Z, Zhang X, Cui W, Chen L, Zhang Z, Zhang G. Temporal patterns of organ dysfunction in COVID-19 patients hospitalized in the intensive care unit: A group-based multitrajectory modelling analysis. Int J Infect Dis 2024:107045. [PMID: 38604470 DOI: 10.1016/j.ijid.2024.107045] [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: 12/29/2023] [Revised: 03/19/2024] [Accepted: 04/07/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND The course of organ dysfunction (OD) in Corona Virus Disease 2019 (COVID-19) patients is unknown. Herein, we analyse the temporal patterns of OD in intensive care unit-admitted COVID-19 patients. METHODS Sequential organ failure assessment scores were evaluated daily within 2 weeks of admission to determine the temporal trajectory of OD using group-based multitrajectory modelling (GBMTM). RESULTS 392 patients were enrolled with a 28-day mortality rate of 53.6%. GBMTM identified four distinct trajectories. Group 1 (mild OD, n=64), with a median APACHE II score of 13 (IQR 9-21), had an early resolution of OD and a low mortality rate. Group 2 (moderate OD, n=140), with a median APACHE II score of 18 (IQR 13-22), had a 28-day mortality rate of 30.0%. Group 3 (severe OD, n=117), with a median APACHR II score of 20 (IQR 13-27), had a deterioration trend of respiratory dysfunction and a 28-day mortality rate of 69.2%. Group 4 (extremely severe OD, n=71), with a median APACHE II score of 20 (IQR 17-27), had a significant and sustained OD affecting all organ systems and a 28-day mortality rate of 97.2%. CONCLUSIONS Four distinct trajectories of OD were identified, and respiratory dysfunction trajectory could predict nonpulmonary OD trajectories and patient prognosis.
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Affiliation(s)
- Jiafei Yu
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China; Department of Critical Care Medicine, People's Hospital of Haiyan, Zhejiang 314399, China
| | - Kai Zhang
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Tianqi Chen
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Ronghai Lin
- Department of Critical Care Medicine, Taizhou Municipal Hospital, Zhejiang, 318000, China
| | - Qijiang Chen
- Intensive Care Unit, Ninghai First Hospital, Zhejiang, 315699, China
| | - Chensong Chen
- Intensive Care Unit, Xiangshan First People's Hospital Medical and Health Group, Zhejiang, 315700, China
| | - Minfeng Tong
- Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Zhejiang, 321000, China
| | - Jianping Chen
- Department of Emergency Medicine, Dongyang People' Hospital of Wenzhou Medical university, Zhejiang, 322100, China
| | - Jianhua Yu
- Department of Critical Care Medicine, Longquan People's Hospital, Zhejiang, 323700, China
| | - Yuhang Lou
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Panpan Xu
- Department of Critical Care Medicine, Taizhou Municipal Hospital, Zhejiang, 318000, China
| | - Chao Zhong
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China; Intensive Care Unit, Ninghai First Hospital, Zhejiang, 315699, China
| | - Qianfeng Chen
- Intensive Care Unit, Xiangshan First People's Hospital Medical and Health Group, Zhejiang, 315700, China
| | - Kangwei Sun
- Department of Emergency Medicine, Dongyang People' Hospital of Wenzhou Medical university, Zhejiang, 322100, China
| | - Liyuan Liu
- Department of Critical Care Medicine, Longquan People's Hospital, Zhejiang, 323700, China
| | - Lanxin Cao
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Cheng Zheng
- Department of Critical Care Medicine, Taizhou Municipal Hospital, Zhejiang, 318000, China
| | - Ping Wang
- Intensive Care Unit, Ninghai First Hospital, Zhejiang, 315699, China
| | - Qitao Chen
- Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Zhejiang, 321000, China
| | - Qianqian Yang
- Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Zhejiang, 321000, China
| | - Weiting Chen
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China; Department of Emergency and Intensive Care Unit, The First People's Hospital of Linhai, Taizhou, Zhejiang 317000, China
| | - Xiaofang Wang
- Department of Cardiovascular Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Zuxi Yan
- Department of Critical Care Medicine, People's Hospital of Haiyan, Zhejiang 314399, China
| | - Xuefeng Zhang
- Department of Critical Care Medicine, Second Affiliated Hospital, Jiaxing College School of Medicine, Jiaxing 314031, China
| | - Wei Cui
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China
| | - Lin Chen
- Department of Neurosurgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Zhejiang, 321000, China
| | - Zhongheng Zhang
- Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China
| | - Gensheng Zhang
- Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou 310009, China; Key Laboratory of Multiple Organ Failure (Zhejiang University), Ministry of Education, Hangzhou 310009, China.
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Wang X, Zheng R, Liang W, Qiu H, Yuan T, Wang W, Deng H, Kong W, Chen J, Bai Y, Li Y, Chen Y, Wu Q, Wu S, Huang X, Shi Z, Fu Q, Zhang Y, Yang Q. Small extracellular vesicles facilitate epithelial-mesenchymal transition in chronic rhinosinusitis with nasal polyps via the miR-375-3p/QKI axis. Rhinology 2024; 0:3172. [PMID: 38557580 DOI: 10.4193/rhin23.520] [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: 04/04/2024]
Abstract
BACKGROUND Epithelial-mesenchymal transition (EMT) plays a crucial role in the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP). However, the involvement of small extracellular vesicles (sEVs) in EMT and their contributions to CRSwNP has not been extensively investigated. METHODS SEVs were isolated from nasal mucosa through ultracentrifugation. MicroRNA sequencing and reverse-transcription quantitative polymerase chain reaction were employed to analyze the differential expression of microRNAs carried by sEVs. Human nasal epithelial cells (hNECs) were used to assess the EMT-inducing effect of sEVs/microRNAs. EMT-associated markers were detected by western blotting and immunofluorescence. Dual-luciferase reporter assay was performed to determine the target gene of miR-375-3p. MicroRNA mimic, lentiviral, and plasmid transduction were used for functional experiments. RESULTS In line with the greater EMT status in eosinophilic CRSwNP (ENP), sEVs derived from ENP (ENP-sEVs) could induce EMT in hNECs. MiR-375-3p was elevated in ENP-sEVs compared to that in control and nonENP. MiR-375- 3p carried by ENP-sEVs facilitated EMT by directly targeting KH domain containing RNA binding (QKI) at seed sequences of 913-919, 1025-1033, and 2438-2444 in 3'-untranslated region. Inhibition of QKI by miR-375-3p overexpression promoted EMT, which could be reversed by restoration of QKI. Furthermore, the abundance of miR-375-3p in sEVs was closely correlated with the clinical symptom score and disease severity. CONCLUSIONS MiR-375-3p-enriched sEVs facilitated EMT by suppressing QKI in hNECs. The association of miR-375-3p with disease severity underscores its potential as both a diagnostic marker and a therapeutic target for the innovative management of CRSwNP.
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Affiliation(s)
- X Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - R Zheng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Liang
- Department of Biotherapy Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Cell-gene Therapy Translational Medicine Research Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - H Qiu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - T Yuan
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - H Deng
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - W Kong
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - J Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Bai
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Li
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - S Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Huang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Shi
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Fu
- Otorhinolaryngology Hospital, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Y Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Q Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Yang Q, Yi SH, Fu BS, Zhang T, Zeng KN, Feng X, Yao J, Tang H, Li H, Zhang J, Zhang YC, Yi HM, Lyu HJ, Liu JR, Luo GJ, Ge M, Yao WF, Ren FF, Zhuo JF, Luo H, Zhu LP, Ren J, Lyu Y, Wang KX, Liu W, Chen GH, Yang Y. [Clinical application of split liver transplantation: a single center report of 203 cases]. Zhonghua Wai Ke Za Zhi 2024; 62:324-330. [PMID: 38432674 DOI: 10.3760/cma.j.cn112139-20231225-00297] [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: 03/05/2024]
Abstract
Objective: To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application. Methods: This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis. Results: The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group (χ2=5.560,P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group (χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion: SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.
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Affiliation(s)
- Q Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - S H Yi
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - B S Fu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - T Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - K N Zeng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - X Feng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Yao
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H Tang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H Li
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - Y C Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H M Yi
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - H J Lyu
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - J R Liu
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - G J Luo
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - M Ge
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - W F Yao
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - F F Ren
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J F Zhuo
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - H Luo
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - L P Zhu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Ren
- Ultrasound Department of the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - Y Lyu
- Ultrasound Department of the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - K X Wang
- Organ Donation Department of the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - W Liu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - G H Chen
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - Y Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
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Yang Q, Xie J, Li Z, Zhai C, Sheng M, Li S, Gao M. Association between sleep quality, depressive symptoms, and suicidal ideation in college students. PSYCHOL HEALTH MED 2024:1-19. [PMID: 38503424 DOI: 10.1080/13548506.2024.2331491] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Suicide among college students is a challenging problem globally. Yet, the association between sleep quality, depressive symptoms, and suicidal ideation remains unclear. This study aims to understand if depressive symptoms mediate the relationship between sleep quality and suicide ideation and whether the interaction between depressive symptoms and sleep quality on suicidal ideation is additive. A total of 1182 college students were recruited, and sleep quality, depressive symptoms, and suicidal ideation were assessed using questionnaires. Univariate analysis, logistic regression analysis, linear regression models, and the Sobel test were performed. The results showed that, among college students, poor sleep quality was positively associated with suicidal ideation, and the association was mediated through depressive symptoms. Moreover, there was a significant additive interaction between poor sleep quality and depressive symptoms on suicidal ideation. These findings suggest that, in the process of preventing and treating suicidal ideation in college students with sleep disorders, we should focus on the evaluation and intervention of depressive symptoms and adopt multidisciplinary team interventions for college students with sleep disorders and depression.
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Affiliation(s)
- Qianqian Yang
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Jiafan Xie
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Zehan Li
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Chenxiao Zhai
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Meiyan Sheng
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Shengpeng Li
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
| | - Mengqian Gao
- Medical School, Liaocheng University, Liaocheng, Shandong Province, P.R. China
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Lin S, Zhang S, Zhan A, Feng J, Yang Q, Li T, Liu Z, Mo Q, Fan H, Wang K, Wang L. Palmatine alleviates cardiac fibrosis by inhibiting fibroblast activation through the STAT3 pathway. Eur J Pharmacol 2024; 967:176395. [PMID: 38350592 DOI: 10.1016/j.ejphar.2024.176395] [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: 10/06/2023] [Revised: 02/04/2024] [Accepted: 02/05/2024] [Indexed: 02/15/2024]
Abstract
Cardiac fibrosis, the hallmark of cardiovascular disease, is characterized by excessive deposition of extracellular matrix in the heart. Emerging evidence indicates that cardiac fibroblasts (CFs) play pivotal roles in driving cardiac fibrosis. However, due to incomplete insights into CFs, there are limited effective approaches to prevent or reverse cardiac fibrosis currently. Palmatine, a protoberberine alkaloid extracted from traditional Chinese botanical remedies, possesses diverse biological effects. This study investigated the potential therapeutic value and mechanism of palmatine against cardiac fibrosis. Adult male C57BL/6 mice were treated with vehicle, isoproterenol (ISO), or ISO plus palmatine for one week. After echocardiography assessment, mice hearts were collected for histopathology, real-time polymerase chain reaction, and Western blot analyses. Primary rat CFs were utilized in vitro. Compared to control, ISO-treated mice exhibited cardiac hypertrophy and structural abnormalities; however, treatment with palmatine ameliorated these effects of ISO. Moreover, palmatine treatment mitigated ISO-induced cardiac fibrosis. Network pharmacology and molecular docking analysis showed that palmatine strongly binds the regulators of cardiac fibrosis including signal transducer and activator of transcription 3 (STAT3) and mammalian target of rapamycin. Furthermore, palmatine reduced the elevated fibrotic factor expressions and overactivated STAT3 induced by ISO, Transformed growth factor β1 (TGF-β1), or interleukin-6 both in vivo and in vitro. Additionally, blocking STAT3 suppressed the TGF-β1-induced CF activation. Collectively, these data demonstrated that palmatine attenuated cardiac fibrosis partly by inhibiting fibroblast activation through the STAT3 pathway. This provides an experimental basis for the clinical treatment of cardiac fibrosis with palmatine.
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Affiliation(s)
- Shaoling Lin
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Shengxi Zhang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Guangdong Hydropower Group Hospital, Guangzhou, 511340, China
| | - Angyu Zhan
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Jiaojiao Feng
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Qianqian Yang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Tongjun Li
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Zijian Liu
- Department of Emergency, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China; NHC Key Laboratory of Assisted Circulation and Vascular Diseases (Sun Yat-sen University), Guangzhou, 510080, China
| | - Quqian Mo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Hui Fan
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China
| | - Keke Wang
- Department of Emergency, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China; NHC Key Laboratory of Assisted Circulation and Vascular Diseases (Sun Yat-sen University), Guangzhou, 510080, China.
| | - Lexun Wang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glycolipid Metabolic Disorder, Ministry of Education of China, Guangdong TCM Key Laboratory for Metabolic Diseases, Key Unit of Modulating Liver to Treat Hyperlipemia, State Administration of Traditional Chinese Medicine, Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, 510006, China.
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Zhang X, Cheng M, Dai J, Yang Q, Zhang Y, Dong B, Tao X, Zou J, Jin Z, Liu F, Wu Z, Hu X, Zheng Z, Shi Z, Jiang S, Zhang L, Yang T, Zhang X, Zhou L. Scalable Synthesis of High-Quality Ultrathin Ferroelectric Magnesium Molybdenum Oxide. Adv Mater 2024:e2308550. [PMID: 38478729 DOI: 10.1002/adma.202308550] [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] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 02/15/2024] [Indexed: 03/20/2024]
Abstract
The development of ultrathin, stable ferroelectric materials is crucial for advancing high-density, low-power electronic devices. Nonetheless, ultrathin ferroelectric materials are rare due to the critical size effect. Here, a novel ferroelectric material, magnesium molybdenum oxide (Mg2 Mo3 O8 ) is presented. High-quality ultrathin Mg2 Mo3 O8 crystals are synthesized using chemical vapor deposition (CVD). Ultrathin Mg2 Mo3 O8 has a wide bandgap (≈4.4 eV) and nonlinear optical response. Mg2 Mo3 O8 crystals of varying thicknesses exhibit out-of-plane ferroelectric properties at room temperature, with ferroelectricity retained even at a 2 nm thickness. The Mg2 Mo3 O8 exhibits a relatively large remanent polarization ranging from 33 to 52 µC cm- 2 , which is tunable by changing its thickness. Notably, Mg2 Mo3 O8 possesses a high Curie temperature (>980 °C) across various thicknesses. Moreover, the as-grown Mg2 Mo3 O8 crystals display remarkable stability under harsh environments. This work introduces nolanites-type crystal into ultrathin ferroelectrics. The scalable synthesis of stable ultrathin ferroelectric Mg2 Mo3 O8 expands the scope of ferroelectric materials and may prosper applications of ferroelectrics.
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Affiliation(s)
- Xingxing Zhang
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Mo Cheng
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jiuxiang Dai
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qianqian Yang
- Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
| | - Ye Zhang
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, China and School of Materials Science and Engineering, University of Science and Technology of China, Shenyang, 110016, China
| | - Baojuan Dong
- State Key Laboratory of Quantum Optics and Quantum Optics Devices, Institute of Opto-Electronics, Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, 030006, China
| | - Xinwei Tao
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jingyi Zou
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Zhitong Jin
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Feng Liu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zhenghan Wu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xianyu Hu
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zemin Zheng
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zhiwen Shi
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shengwei Jiang
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Linxing Zhang
- Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
| | - Teng Yang
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, China and School of Materials Science and Engineering, University of Science and Technology of China, Shenyang, 110016, China
| | - Xu Zhang
- Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Lin Zhou
- School of Chemistry and Chemical Engineering, Frontiers Science Centre for Transformative Molecules, Shanghai Jiao Tong University, Shanghai, 200240, China
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Jin H, Tu M, Meng Z, Jiang B, Yang Q, Li Y, Zhang Z. Identification and structural analysis of dimeric chicken complement component 3d and its binding with chicken complement receptor 2. Dev Comp Immunol 2024; 152:105109. [PMID: 38061436 DOI: 10.1016/j.dci.2023.105109] [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] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023]
Abstract
Complement component 3d (C3d), the final cleavage product of complement component C3, interacts with CR2 and thus plays a crucial role in linking the innate and adaptive immune systems. Additionally, human C3d executes various functions in its dimeric form, which is more effective than its monomeric form. In this study, we aimed to explored whether chicken C3d (chC3d) exhibits similar characteristics, namely dimerization and binding of dimeric chC3d to chicken CR2 (chCR2). We investigated the interaction and co-localization of chC3d with itself using coimmunoprecipitation and confocal laser scanning microscopy, respectively. Then, dimeric chC3d was detected using native polyacrylamide gel electrophoresis and western blotting, and its equilibrium dissociation constant KD (827 nM) was determined using surface plasmon resonance. Finally, the interaction modes of dimeric chC3d were identified using molecular docking simulations, which revealed that dimeric chC3d could crosslink with chCR2 receptor. Overall, our findings will facilitate future explorations of the chicken complement system.
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Affiliation(s)
- Huan Jin
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China.
| | - Min Tu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China.
| | - Zhaoying Meng
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, People's Republic of China.
| | - Bo Jiang
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China; Beijing Key Laboratory for Prevention and Control of Infectious Diseases in Livestock and Poultry, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China.
| | - Qianqian Yang
- Animal Science and Technology College, Beijing University of Agriculture, Beijing, People's Republic of China.
| | - Yongqing Li
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China; Beijing Key Laboratory for Prevention and Control of Infectious Diseases in Livestock and Poultry, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China.
| | - Zhenhua Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China.
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Zou Y, Qin C, Yang Q, Lang Y, Liu K, Yang F, Li X, Zhao Y, Zheng T, Wang M, Shi R, Yang W, Zhou Y, Chen L, Liu F. Clinical characteristics, outcomes and risk factors for mortality in hospitalized diabetes and chronic kidney disease patients after COVID-19 infection following widespread vaccination. J Endocrinol Invest 2024; 47:619-631. [PMID: 37725309 DOI: 10.1007/s40618-023-02180-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/17/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND COVID-19 poses a significant threat to patients with comorbidities, such as diabetes and chronic kidney disease (CKD). China experienced a nationwide COVID-19 endemic from December 2022 to January 2023, which is the first occurrence of such an outbreak following China's widespread administration of COVID-19 vaccinations. METHODS A total of 338 patients with diabetes and CKD combined with COVID-19 infection between December 7, 2022 and January 31, 2023 were included in this study. The end follow-up date was February 10, 2023. Univariate analysis and multivariate Cox analysis were used to analyze risk factors for death. RESULTS During the 50-day median follow-up period, 90 patients in the study cohort died, for a mortality rate of 26.63%. The median age of the study cohort was 74 years, with a male predominance of 74%. During hospitalization, 21% of patients had incident AKI, 17% of patients experienced stroke, and 40% of patients experienced respiratory failure. Cox proportional hazard regression showed that older age, a diagnosis of severe or critically severe COVID-19 infection, incident AKI and respiratory failure, higher level of average values of fasting glucose during hospitalization, UA, and total bilirubin were independent risk factors for death in our multivariate model. CONCLUSIONS These findings highlight the critical importance of identifying and managing comorbid risk factors for COVID-19, especially among the elderly, in order to optimize clinical outcomes, even after COVID-19 vaccination.
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Affiliation(s)
- Y Zou
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - C Qin
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Q Yang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Y Lang
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - K Liu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - F Yang
- Department of Clinical Medicine, Southwest Medical University, Luzhou, China
| | - X Li
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
| | - Y Zhao
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
| | - T Zheng
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - M Wang
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - R Shi
- Information Center, West China Hospital of Sichuan University, Chengdu, China
- Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, China
| | - W Yang
- Division of Project Design and Statistics, West China Hospital of Sichuan University, Chengdu, China
| | - Y Zhou
- Integrated Care Management Center, West China Hospital of Sichuan University, Chengdu, China
| | - L Chen
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China
- Division of Neurology, West China Hospital of Sichuan University, Chengdu, China
| | - Fang Liu
- Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu, China.
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Chen W, Bai Y, Fang P, Chen J, Wang X, Li Y, Luo X, Xiao Z, Iyer R, Shan F, Yuan T, Wu M, Huang X, Fang D, Yang Q, Zhang Y. Body mass index's effect on CRSwNP extends to pathological endotype and recurrence. Rhinology 2024; 0:3161. [PMID: 38416065 DOI: 10.4193/rhin23.402] [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: 02/29/2024]
Abstract
BACKGROUND Elevated body mass index (BMI) has been recognized as an important contributor to corticosteroid insensitivity in chronic rhinosinusitis with nasal polyps (CRSwNP). We aimed to delineate the effects of elevated BMI on immunological endotype and recurrence in CRSwNP individuals. METHODOLOGY A total of 325 patients with CRSwNP undergoing FESS were recruited and stratified by BMI. H&E staining was employed for histological evaluation. Characteristics of inflammatory patterns were identified by immunohistochemical staining. The predictive factors for recurrence were determined and evaluated by multivariable logistic regression analysis and the receiver operating characteristic (ROC) curves across all subjects and by weight group. RESULTS In all patients with CRSwNP, 26.15% subjects were classified as overweight/obese group across BMI categories and exhibited a higher symptom burden. The upregulated eosinophil/neutrophil-dominant cellular endotype and amplified type 2/ type 3 coexisting inflammation was present in overweight/obese compared to underweight/normal weight controls. Additionally, a higher recurrent proportion was shown in overweight/obese patients than that in underweight/normal weight cohorts. Multivariable logistic regression analysis identified BMI as an independent predictor for recurrence. The predictive capacity of each conventional parameter (tissue eosinophil and CLCs count, and blood eosinophil percentage) alone or in combination was poor in overweight/obese subjects. CONCLUSIONS Overweight/obese CRSwNP stands for a unique phenotype and endotype. Conventional parameters predicting recurrence are compromised in overweight/obese CRSwNP, and there is an urgent need for novel biomarkers that predict recurrence for these patients.
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Affiliation(s)
- W Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Bai
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - P Fang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - J Chen
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Wang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Li
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Luo
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Xiao
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - R Iyer
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - F Shan
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - T Yuan
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - M Wu
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Huang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - D Fang
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Q Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Zhang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Department of Allergy, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Diabetology, Guangzhou Key Laboratory of Mechanistic and Translational Obesity Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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10
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Yang Q, Yang Q, Wu X, Zheng R, Lin H, Wang S, Joseph J, Sun YV, Li M, Wang T, Zhao Z, Xu M, Lu J, Chen Y, Ning G, Wang W, Bi Y, Zheng J, Xu Y. Sex-stratified genome-wide association and transcriptome-wide Mendelian randomization studies reveal drug targets of heart failure. Cell Rep Med 2024; 5:101382. [PMID: 38237596 PMCID: PMC10897518 DOI: 10.1016/j.xcrm.2023.101382] [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: 07/20/2023] [Revised: 10/31/2023] [Accepted: 12/19/2023] [Indexed: 02/23/2024]
Abstract
The prevalence of heart failure (HF) subtypes, which are classified by left ventricular ejection fraction (LVEF), demonstrate significant sex differences. Here, we perform sex-stratified genome-wide association studies (GWASs) on LVEF and transcriptome-wide Mendelian randomization (MR) on LVEF, all-cause HF, HF with reduced ejection fraction (HFrEF), and HF with preserved ejection fraction (HFpEF). The sex-stratified GWASs of LVEF identified three sex-specific loci that were exclusively detected in the sex-stratified GWASs. Three drug target genes show sex-differential effects on HF/HFrEF via influencing LVEF, with NPR2 as the target gene for the HF drug Cenderitide under phase 2 clinical trial. Our study highlights the importance of considering sex-differential genetic effects in sex-balanced diseases such as HF and emphasizes the value of sex-stratified GWASs and MR in identifying putative genetic variants, causal genes, and candidate drug targets for HF, which is not identifiable using a sex-combined strategy.
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Affiliation(s)
- Qianqian Yang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qian Yang
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jacob Joseph
- Cardiology Section, VA Providence Healthcare System, 830 Chalkstone Avenue, Providence, RI 02908, USA; Department of Medicine, Warren Alpert Medical School of Brown University, 222 Richmond Street, Providence, RI 02903, USA
| | - Yan V Sun
- Emory University Rollins School of Public Health, Atlanta, GA, USA; Atlanta VA Health Care System, Decatur, GA, USA
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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11
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Ren Y, Gao Y, Du W, Qiao W, Li W, Yang Q, Liang Y, Li G. Classifying breast cancer using multi-view graph neural network based on multi-omics data. Front Genet 2024; 15:1363896. [PMID: 38444760 PMCID: PMC10912483 DOI: 10.3389/fgene.2024.1363896] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 02/02/2024] [Indexed: 03/07/2024] Open
Abstract
Introduction: As the evaluation indices, cancer grading and subtyping have diverse clinical, pathological, and molecular characteristics with prognostic and therapeutic implications. Although researchers have begun to study cancer differentiation and subtype prediction, most of relevant methods are based on traditional machine learning and rely on single omics data. It is necessary to explore a deep learning algorithm that integrates multi-omics data to achieve classification prediction of cancer differentiation and subtypes. Methods: This paper proposes a multi-omics data fusion algorithm based on a multi-view graph neural network (MVGNN) for predicting cancer differentiation and subtype classification. The model framework consists of a graph convolutional network (GCN) module for learning features from different omics data and an attention module for integrating multi-omics data. Three different types of omics data are used. For each type of omics data, feature selection is performed using methods such as the chi-square test and minimum redundancy maximum relevance (mRMR). Weighted patient similarity networks are constructed based on the selected omics features, and GCN is trained using omics features and corresponding similarity networks. Finally, an attention module integrates different types of omics features and performs the final cancer classification prediction. Results: To validate the cancer classification predictive performance of the MVGNN model, we conducted experimental comparisons with traditional machine learning models and currently popular methods based on integrating multi-omics data using 5-fold cross-validation. Additionally, we performed comparative experiments on cancer differentiation and its subtypes based on single omics data, two omics data, and three omics data. Discussion: This paper proposed the MVGNN model and it performed well in cancer classification prediction based on multiple omics data.
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Affiliation(s)
- Yanjiao Ren
- College of Information Technology, Smart Agriculture Research Institute, Jilin Agricultural University, Changchun, Jilin, China
| | - Yimeng Gao
- College of Information Technology, Smart Agriculture Research Institute, Jilin Agricultural University, Changchun, Jilin, China
| | - Wei Du
- College of Computer Science and Technology, Jilin University, Changchun, China
| | - Weibo Qiao
- College of Computer Science and Technology, Jilin University, Changchun, China
| | - Wei Li
- College of Information Technology, Smart Agriculture Research Institute, Jilin Agricultural University, Changchun, Jilin, China
| | - Qianqian Yang
- College of Information Technology, Smart Agriculture Research Institute, Jilin Agricultural University, Changchun, Jilin, China
| | - Yanchun Liang
- College of Computer Science and Technology, Jilin University, Changchun, China
- School of Computer Science, Zhuhai College of Science and Technology, Zhuhai, China
| | - Gaoyang Li
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
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12
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UrRehman Z, Qiang Y, Wang L, Shi Y, Yang Q, Khattak SU, Aftab R, Zhao J. Effective lung nodule detection using deep CNN with dual attention mechanisms. Sci Rep 2024; 14:3934. [PMID: 38365831 PMCID: PMC10873370 DOI: 10.1038/s41598-024-51833-x] [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: 07/10/2023] [Accepted: 01/10/2024] [Indexed: 02/18/2024] Open
Abstract
Novel methods are required to enhance lung cancer detection, which has overtaken other cancer-related causes of death as the major cause of cancer-related mortality. Radiologists have long-standing methods for locating lung nodules in patients with lung cancer, such as computed tomography (CT) scans. Radiologists must manually review a significant amount of CT scan pictures, which makes the process time-consuming and prone to human error. Computer-aided diagnosis (CAD) systems have been created to help radiologists with their evaluations in order to overcome these difficulties. These systems make use of cutting-edge deep learning architectures. These CAD systems are designed to improve lung nodule diagnosis efficiency and accuracy. In this study, a bespoke convolutional neural network (CNN) with a dual attention mechanism was created, which was especially crafted to concentrate on the most important elements in images of lung nodules. The CNN model extracts informative features from the images, while the attention module incorporates both channel attention and spatial attention mechanisms to selectively highlight significant features. After the attention module, global average pooling is applied to summarize the spatial information. To evaluate the performance of the proposed model, extensive experiments were conducted using benchmark dataset of lung nodules. The results of these experiments demonstrated that our model surpasses recent models and achieves state-of-the-art accuracy in lung nodule detection and classification tasks.
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Affiliation(s)
- Zia UrRehman
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Yan Qiang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
- School of Software, North University of China, Taiyuan, China
| | - Long Wang
- Jinzhong College of Information, Jinzhong, China
| | - Yiwei Shi
- NHC Key Laboratory of Pneumoconiosis, Shanxi Key Laboratory of Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | | | - Saeed Ullah Khattak
- Centre of Biotechnology and Microbiology, University of Peshawar, Peshawar, 25120, Pakistan
| | - Rukhma Aftab
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Juanjuan Zhao
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.
- Jinzhong College of Information, Jinzhong, China.
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13
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Tang X, Yu A, Yang Q, Yuan H, Wang Z, Xie J, Zhou L, Guo Y, Ma D, Dai S. Significance of Epitaxial Growth of PtO 2 on Rutile TiO 2 for Pt/TiO 2 Catalysts. J Am Chem Soc 2024; 146:3764-3772. [PMID: 38304977 DOI: 10.1021/jacs.3c10659] [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: 02/03/2024]
Abstract
TiO2-supported Pt species have been widely applied in numerous critical reactions involving photo-, thermo-, and electrochemical-catalysis for decades. Manipulation of the state of the Pt species in Pt/TiO2 catalysts is crucial for fine-tuning their catalytic performance. Here, we report an interesting discovery showing the epitaxial growth of PtO2 atomic layers on rutile TiO2, potentially allowing control of the states of active Pt species in Pt/TiO2 catalysts. The presence of PtO2 atomic layers could modulate the geometric configuration and electronic state of the Pt species under reduction conditions, resulting in a spread of the particle shape and obtaining a Pt/PtO2/TiO2 structure with more positive valence of Pt species. As a result, such a catalyst exhibits exceptional electrocatalytic activity and stability toward hydrogen evolution reaction, while also promoting the thermocatalytic CO oxidation, surpassing the performance of the Pt/TiO2 catalyst with no epitaxial structure. This novel epitaxial growth of the PtO2 structure on rutile TiO2 in Pt/TiO2 catalysts shows its potential in the rational design of highly active and economical catalysts toward diverse catalytic reactions.
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Affiliation(s)
- Xuan Tang
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Anwen Yu
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Qianqian Yang
- Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Haiyang Yuan
- Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Zhaohua Wang
- Beijing National Laboratory for Molecular Sciences, New Cornerstone Science Laboratory, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
| | - Junzhong Xie
- Beijing National Laboratory for Molecular Sciences, New Cornerstone Science Laboratory, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
| | - Lihui Zhou
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Yun Guo
- State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Research Institute of Industrial Catalysis, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
| | - Ding Ma
- Beijing National Laboratory for Molecular Sciences, New Cornerstone Science Laboratory, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
| | - Sheng Dai
- Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, P. R. China
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Tao K, Gao Y, Yin H, Liang Q, Yang Q, Yu X. Comparative Mitogenome Analyses of Fifteen Ramshorn Snails and Insights into the Phylogeny of Planorbidae (Gastropoda: Hygrophila). Int J Mol Sci 2024; 25:2279. [PMID: 38396956 PMCID: PMC10889216 DOI: 10.3390/ijms25042279] [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: 01/09/2024] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
Ramshorn snails from the family Planorbidae are important freshwater snails due to their low trophic level, and some of them act as intermediate hosts for zoonotic trematodes. There are about 250 species from 40 genera of Planorbidae, but only 14 species from 5 genera (Anisus, Biomphalaria, Bulinus, Gyraulus, and Planorbella) have sequenced complete mitochondrial genomes (mitogenomes). In this study, we sequenced and assembled a high-quality mitogenome of a ramshorn snail, Polypylis sp. TS-2018, which represented the first mitogenome of the genus. The mitogenome of Polypylis sp. TS-2018 is 13,749 bp in length, which is shorter than that of most gastropods. It contains 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and 2 ribosomal RNA (rRNA). We compared mitogenome characteristics, selection pressure, and gene rearrangement among all of the available mitogenomes of ramshorn snails. We found that the nonsynonymous and synonymous substitution rates (Ka/Ks) of most PCGs indicated purifying and negative selection, except for atp8 of Anisus, Biomphalaria, and Gyraulus, which indicated positive selection. We observed that transpositions and reverse transpositions occurred on 10 tRNAs and rrnS, which resulted in six gene arrangement types. We reconstructed the phylogenetic trees using the sequences of PCGs and rRNAs and strongly supported the monophyly of each genus, as well as three tribes in Planorbidae. Both the gene rearrangement and phylogenetic results suggested that Polypylis had a close relationship with Anisus and Gyraulus, while Bulinus was the sister group to all of the other genera. Our results provide useful data for further investigation of species identification, population genetics, and phylogenetics among ramshorn snails.
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Affiliation(s)
| | | | | | | | - Qianqian Yang
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China; (K.T.); (Y.G.); (H.Y.); (Q.L.)
| | - Xiaoping Yu
- Zhejiang Provincial Key Laboratory of Biometrology and Inspection & Quarantine, College of Life Sciences, China Jiliang University, Hangzhou 310018, China; (K.T.); (Y.G.); (H.Y.); (Q.L.)
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15
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Xie K, Wang B, Pang P, Li G, Yang Q, Fang C, Jiang W, Feng Y, Ma H. A novel disulfidptosis-related prognostic gene signature and experimental validation identify ACTN4 as a novel therapeutic target in lung adenocarcinoma. Cancer Biomark 2024:CBM230276. [PMID: 38517776 DOI: 10.3233/cbm-230276] [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] [Indexed: 03/24/2024]
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is a prevalent form of malignancy globally. Disulfidptosis is novel programmed cell death pathway based on disulfide proteins, may have a positive impact on the development of LUAD treatment strategies. OBJECTIVE To investigate the impact of disulfidptosis-related genes (DRGs) on the prognosis of LUAD, developed a risk model to facilitate the diagnosis and prognostication of patients. We also explored ACTN4 (DRGs) as a new therapeutic biomarker for LUAD. METHODS We investigated the expression patterns of DRGs in both LUAD and noncancerous tissues. To assess the prognostic value of the DRGs, we developed risk models through univariate Cox analysis and lasso regression. The expression and function of ACTN4 was evaluated by qRT-PCR, immunohistochemistry and in vitro experiments. The TIMER examined the association between ACTN4 expression and immune infiltration in LUAD. RESULTS Ten differentially expressed DRGs were identified. And ACTN4 was identified as potential risk factors through univariate Cox regression analysis (P< 0.05). ACTN4 expression and riskscore were used to construct a risk model to predict overall survival in LUAD, and high-risk demonstrated a significantly higher mortality rate compared to the low-risk cohort. qRT-PCR and immunohistochemistry assays indicated ACTN4 was upregulated in LUAD, and the upregulation was associated with clinicopathologic features. In vitro experiments showed the knockdown of ACTN4 expression inhibited the proliferation in LUAD cells. The TIMER analysis demonstrated a correlation between the expression of ACTN4 and the infiltration of diverse immune cells. Elevated ACTN4 expression was associated with a reduction in memory B cell count. Additionally, the ACTN4 expression was associated with m6A modification genes. CONCLUSIONS Our study introduced a prognostic model based on DRGs, which could forecast the prognosis of patients with LUAD. The biomarker ACTN4 exhibits promise for the diagnosis and management of LUAD, given its correlation with tumor immune infiltration and m6A modification.
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Affiliation(s)
- Kai Xie
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Bin Wang
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Pei Pang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Guangbin Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qianqian Yang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Chen Fang
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Wei Jiang
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yu Feng
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Haitao Ma
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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16
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Liu S, Gao Q, Wu J, Xie Y, Yang Q, Wang R, Cui Y. The concentration of CH 4, N 2O and CO 2 in the Pearl River estuary increased significantly due to the sediment particle resuspension and the interaction of hypoxia. Sci Total Environ 2024; 911:168795. [PMID: 37996023 DOI: 10.1016/j.scitotenv.2023.168795] [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: 06/09/2023] [Revised: 11/02/2023] [Accepted: 11/20/2023] [Indexed: 11/25/2023]
Abstract
Hypoxia and sediment particle resuspension (SPR) alter the biogeochemical cycle of estuarine and coastal seas, which in turn affects the production and emission of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) greenhouse gases (GHGs) in estuaries. Despite the importance of CH4, N2O and CO2 in estuarine ecosystems, little is known about their magnitude and spatiotemporal variation under the combined influence of hypoxia and SPR. This study utilized continuous mooring observations to investigate the temporal and spatial variations of GHGs before and after hypoxia in the Pearl River Estuary (PRE). The results showed that the concentration of GHGs in the water column increased significantly following hypoxia as compared to its absence. The synergistic effect of SPR and hypoxia significantly enhances GHGs production and accumulation in bottom water. Anaerobic mineralization of organic matter (OM) in an environment with severely low dissolved oxygen (DO) is the primary determinant for increased CH4 concentration, while OM and CH4 oxidation are the main drivers for maintaining high CO2 concentration in subsurface water. Hypoxic development enhanced denitrification N2O production in the water column. The presence of SPR enhanced oxygen-consuming coupled hypoxia significantly stimulated the increase of CH4, N2O and CO2 concentrations in the water column. Hypoxic development results in an increased water-air GHGs flux, but this effect may be masked by runoff plumes with high GHGs concentrations in the regions near the river outlets. This study highlights that hypoxia leads to significant increases in anaerobic GHGs production and subsequent emissions from estuarine water columns.
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Affiliation(s)
- Shuangyuan Liu
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
| | - Quanzhou Gao
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China.
| | - Jiaxue Wu
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China; School of Marine Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Yuting Xie
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
| | - Qianqian Yang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
| | - Ruowen Wang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
| | - Yongsheng Cui
- Guangdong Center for Marine Development Research, Guangzhou 510220, China
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17
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Li SS, Zeng SY, Tang QL, Zhu GC, Yin DH, Peng X, Yang Q, Yang XM. [Feasibility and efficacy of pre-management of superior laryngeal artery in endoscopic surgery for hypopharyngeal cancer]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:127-132. [PMID: 38310372 DOI: 10.3760/cma.j.cn115330-20231205-00271] [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: 02/05/2024]
Abstract
Objective: To explore the feasibility and efficacy for the dissection and ligation of the superior laryngeal artery in endoscopic surgery for hypopharyngeal cancer. Methods: Eight cadaveric heads were selected, and the laryngopharynxes were harvested. The positions of the superior laryngeal arteries entering the larynxes were dissected and observed under endoscopic vision, and their anatomical characteristics were summarized. Twenty-nine patients (all were male, aged 39-74 years old) with hypopharyngeal cancer who underwent transoral endoscopic surgery at the Department of Otorhinolaryngology Head and Neck Surgery of the Second Xiangya Hospital, Central South University from January 2018 to December 2019 were selected, and the patients were randomly divided into two groups by drawing lots, namely, the superior laryngeal artery was actively dissected and occluded during surgery in observation group (n=15) or not in control group (n=14). The differences in surgical time, bleeding volume, postoperative complications, and postoperative disease-free survival rate were compared between the two groups. Statistical analysis was conducted using SPSS 25.0 software. Results: The entry point of the superior laryngeal artery into the larynx was approximately at the level of the superior edge of the thyroid cartilage, and entered the larynx at the posterior one-third of the lateral wall of the pyriform fossa. The superior laryngeal artery might be determined through endoscopic exploration in all patients of observation group. The endoscopic surgery time [(40.00±7.56) minutes] and intraoperative bleeding volume [(24.00±8.28) ml] in the observation group were respectively less than those [(48.57±14.06) minutes and (42.86±15.41) ml] in the control group, and the differences were statistically significant (t=-2.064, P=0.049; t=-4.064, P=0.001). There was no case with postoperative bleeding in the observation group, but with one case of postoperative bleeding in the control group. Total disease free survival rate was 86.2% and there was no significant difference in disease free survival rates between the two groups during a follow-up period of at least 36 months (P=0.986). Conclusion: Dissection of the superior laryngeal artery during endoscopic surgery for hypopharyngeal cancer is feasible, and pre-management and occlusion of the superior laryngeal artery can effectively reduce intraoperative bleeding.
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Affiliation(s)
- S S Li
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - S Y Zeng
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Q L Tang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - G C Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - D H Yin
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - X Peng
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Q Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - X M Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, China
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18
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Wu F, Yang Q, Pan W, Meng W, Ma Z, Wang W. tRNA-derived fragments: mechanism of gene regulation and clinical application in lung cancer. Cell Oncol (Dordr) 2024; 47:37-54. [PMID: 37642916 DOI: 10.1007/s13402-023-00864-z] [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] [Accepted: 08/09/2023] [Indexed: 08/31/2023] Open
Abstract
Lung cancer, being the most widespread and lethal form of cancer globally, has a high incidence and mortality rate primarily attributed to challenges associated with early detection, extensive metastasis, and frequent recurrence. In the context of lung cancer development, noncoding RNA molecules have a crucial role in governing gene expression and protein synthesis. Specifically, tRNA-derived fragments (tRFs), a subset of noncoding RNAs, exert significant biological influences on cancer progression, encompassing transcription and translation processes as well as epigenetic regulation. This article primarily examines the mechanisms by which tRFs modulate gene expression and contribute to tumorigenesis in lung cancer. Furthermore, we provide a comprehensive overview of the current bioinformatics analysis of tRFs in lung cancer, with the objective of offering a systematic and efficient approach for studying the expression profiling, functional enrichment, and molecular mechanisms of tRFs in this disease. Finally, we discuss the clinical significance and potential avenues for future research on tRFs in lung cancer. This paper presents a comprehensive systematic review of the existing research findings on tRFs in lung cancer, aiming to offer improved biomarkers and drug targets for clinical management of lung cancer.
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Affiliation(s)
- Fan Wu
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Qianqian Yang
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Wei Pan
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Wei Meng
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China
| | - Zhongliang Ma
- Lab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
| | - Weiwei Wang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China.
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19
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Jia Y, Yang Q, Fang YW, Lu Y, Xie M, Wei J, Tian J, Zhang L, Yang R. Giant tunnelling electroresistance in atomic-scale ferroelectric tunnel junctions. Nat Commun 2024; 15:693. [PMID: 38267445 PMCID: PMC10808203 DOI: 10.1038/s41467-024-44927-7] [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: 06/14/2023] [Accepted: 01/11/2024] [Indexed: 01/26/2024] Open
Abstract
Ferroelectric tunnel junctions are promising towards high-reliability and low-power non-volatile memories and computing devices. Yet it is challenging to maintain a high tunnelling electroresistance when the ferroelectric layer is thinned down towards atomic scale because of the ferroelectric structural instability and large depolarization field. Here we report ferroelectric tunnel junctions based on samarium-substituted layered bismuth oxide, which can maintain tunnelling electroresistance of 7 × 105 with the samarium-substituted bismuth oxide film down to one nanometer, three orders of magnitude higher than previous reports with such thickness, owing to efficient barrier modulation by the large ferroelectric polarization. These ferroelectric tunnel junctions demonstrate up to 32 resistance states without any write-verify technique, high endurance (over 5 × 109), high linearity of conductance modulation, and long retention time (10 years). Furthermore, tunnelling electroresistance over 109 is achieved in ferroelectric tunnel junctions with 4.6-nanometer samarium-substituted bismuth oxide layer, which is higher than commercial flash memories. The results show high potential towards multi-level and reliable non-volatile memories.
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Affiliation(s)
- Yueyang Jia
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qianqian Yang
- Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
| | - Yue-Wen Fang
- Fisika Aplikatua Saila, Gipuzkoako Ingeniaritza Eskola, University of the Basque Country (UPV/EHU), Europa Plaza 1, 20018, Donostia/San Sebastián, Spain.
- Centro de Física de Materiales (CSIC-UPV/EHU), Manuel de Lardizabal Pasealekua 5, 20018, Donostia/San Sebastián, Spain.
| | - Yue Lu
- Beijing Key Laboratory of Microstructure and Properties of Solids, Faculty of Materials and Manufacturing, Beijing, University of Technology, Beijing, 100124, China
| | - Maosong Xie
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jianyong Wei
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jianjun Tian
- Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China
| | - Linxing Zhang
- Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Rui Yang
- University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, 200240, China.
- State Key Laboratory of Radio Frequency Heterogeneous Integration, Shanghai Jiao Tong University, Shanghai, 200240, China.
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20
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Zhou Y, Lu W, Yang Q, Xu Z, Li J. [Preparation and Performance Study of a Novel Antibacterial Hemostatic Chitosan Sponge]. Sichuan Da Xue Xue Bao Yi Xue Ban 2024; 55:190-197. [PMID: 38322514 PMCID: PMC10839500 DOI: 10.12182/20240160403] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Indexed: 02/08/2024]
Abstract
Objective To create a novel chitosan antibacterial hemostatic sponge (NCAHS) and to evaluate its material and biological properties. Methods Chitosan, a polysaccharide, was used as the sponge substrate and different proportions of sodium tripolyphosphate (STPP), glycerol, and phenol sulfonyl ethylamine were added to prepare the sponges through the freeze-drying method. The whole-blood coagulation index (BCI) was used as the screening criterion to determine the optimal concentrations of chitosan and the other additives and the hemostatic sponges were prepared accordingly. Zein/calcium carbonate (Zein/CaCO3) composite microspheres loaded with ciprofloxacin hydrochloride were prepared and added to the hemostatic sponges to obtain NCAHS. Scanning electron microscope was used to observe the microscopic morphology and porosity of the NCAHS. The water absorption rate, in vitro antibacterial susceptibility rate against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli), in vitro coagulation performance, and hemocompatibility of NCAHS were examined. The coagulation performance of NCAHS was evaluated by using rabbit liver injury and rabbit auricular artery hemorrhageear models and commercial hemostatic sponge (CHS) was used as a control. The in vivo biocompatibility, including such aspects as cytotoxicity, skin irritation in animals, and acute in vivo toxicity, of the NCAHS extracts was examined by using as a reference the national standards for biological evaluation of medical devices. Results The NCAHS prepared with 1.5% chitosan (W/V), 0.01% STPP (W/V), 0% glycerol (V/V), 0.15% phenol-sulfonyl-ethylamine (V/V), Zein and CaCO3 at the mixing ratio of 5∶1 (W/W), Zein at the final mass concentration of 2.5 g/L, and ethanol at the final concentration of 17.5% (V/V) were fine and homogeneous, possessing a honeycomb-like porous structure with a pore size of about 200 μm. The NCAHS thus prepared had the lowest BCI value. The water absorption ([2362.16±201.15] % vs. [1102.56±91.79]%) and in vitro coagulation performance (31.338% vs. 1.591%) of NCAHS were significantly better than those of CHS (P<0.01). Tests with the in vivo auricular artery hemorrhage model ([36.00±13.42] s vs. [80.00±17.32] s) and rabbit liver bleeding model ([30.00±0] s vs. [70.00±17.32] s) showed that the hemostasis time of NCAHS was significantly shorter than that of CHS (P<0.01). NCAHS had significant inhibitory ability against S. aureus and E. coli. In addition, NCAHS showed good in vitro and in vivo biocompatibility. Conclusion NCAHS is a composite sponge that shows excellent antimicrobial properties, hemostatic effect, and biocompatibility. Therefore, its extensive application in clinical settings is warranted.
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Affiliation(s)
- Yuanzhi Zhou
- ( 710049) School of Chemistry, Xi'an Jiaotong University, Xi'an 710049, China
- ( 710061) Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
- () ( 710061) Clinical Medical Research Center for Digestive Diseases of Shaanxi Province (Oncology), Xi'an 710061, China
| | - Wen Lu
- ( 710049) School of Chemistry, Xi'an Jiaotong University, Xi'an 710049, China
| | - Qianqian Yang
- ( 710049) School of Chemistry, Xi'an Jiaotong University, Xi'an 710049, China
| | - Zhao Xu
- ( 710049) School of Chemistry, Xi'an Jiaotong University, Xi'an 710049, China
| | - Jianjun Li
- ( 710049) School of Chemistry, Xi'an Jiaotong University, Xi'an 710049, China
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21
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Yang Q, Zheng YJ. [Research advances on late-onset congenital central hypoventilation syndrome]. Zhonghua Er Ke Za Zhi 2024; 62:91-93. [PMID: 38154986 DOI: 10.3760/cma.j.cn112140-20230711-00003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Affiliation(s)
- Q Yang
- Department of Respiratory, Shenzhen Children's Hospital, Shenzhen 518026, China
| | - Y J Zheng
- Department of Respiratory, Shenzhen Children's Hospital, Shenzhen 518026, China
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Li R, Lu P, Fairley CK, Pagán JA, Hu W, Yang Q, Zhuang G, Shen M, Li Y, Zhang L. Cost-Effectiveness of the Second COVID-19 Booster Vaccination in the USA. Appl Health Econ Health Policy 2024; 22:85-95. [PMID: 37910314 DOI: 10.1007/s40258-023-00844-2] [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] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 11/03/2023]
Abstract
OBJECTIVE To assess the cost effectiveness of the second COVID-19 booster vaccination with different age groups. METHODS We developed a decision-analytic Susceptible-Exposed-Infected-Recovered (SEIR)-Markov model by five age groups (0-4 years, 5-11 years 12-17 years, 18-49 years, and 50+ years) and calibrated the model by actual mortality in each age group in the USA. We conducted five scenarios to evaluate the cost effectiveness of the second booster strategy and incremental benefits if the strategy would expand to 18-49 years and 12-17 years, from a health care system perspective. The analysis was reported according to the Consolidated Health Economic Evaluation Reporting Standards 2022 statement. RESULTS Implementing the second booster strategy for those aged ≥ 50 years cost $823 million but reduced direct medical costs by $1166 million, corresponding to a benefit-cost ratio of 1.42. Moreover, the strategy also resulted in a gain of 2596 quality-adjusted life-years (QALYs) during the 180-day evaluation period, indicating it was dominant. Further, vaccinating individuals aged 18-49 years with the second booster would result in an additional gain of $1592 million and 8790 QALYs. Similarly, expanding the vaccination to individuals aged 12-17 years would result in an additional gain of $16 million and 403 QALYs. However, if social interaction between all age groups was severed, vaccination expansion to ages 18-49 and 12-17 years would no longer be dominant but cost effective with an incremental cost-effectiveness ratio (ICER) of $37,572 and $26,705/QALY gained, respectively. CONCLUSION The second booster strategy was likely to be dominant in reducing the disease burden of the COVID-19 pandemic. Expanding the second booster strategy to ages 18-49 and 12-17 years would remain dominant due to their social contacts with the older age group.
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Affiliation(s)
- Rui Li
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Pengyi Lu
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China
| | - Christopher K Fairley
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - José A Pagán
- Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, NY, USA
| | - Wenyi Hu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia
| | - Qianqian Yang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China
| | - Guihua Zhuang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, 710061, Shaanxi, China
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, 710061, Shaanxi, China.
| | - Yan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
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Liu F, Xiang Z, Li Q, Fang X, Zhou J, Yang X, Lin H, Yang Q. 18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study. Clin Radiol 2024; 79:e147-e155. [PMID: 37884401 DOI: 10.1016/j.crad.2023.09.017] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/28/2023]
Abstract
AIM To explore the value of 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET)/computed tomography (CT)-based radiomics model for predicting the degree of pathological differentiation in non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS Clinical characteristics of 182 NSCLC patients from four centres were collected, and radiomics features were extracted from 18F-FDG PET/CT images. Three logistic regression prediction models were established: clinical model; radiomics model; and nomogram combining radiomics signatures and clinical features. The predictive ability of the models was assessed using receiver operating characteristics curve analysis. RESULTS Patients from centre 1 were assigned randomly to the training and internal validation cohorts (7:3 ratio); patients from centres 2-4 served as the external validation cohort. The area under the curve (AUC) values for the clinical model in the training, internal validation, and external validation cohort were 0.74 (95% confidence interval [CI] = 0.64-0.84), 0.64 (95% CI = 0.46-0.81), and 0.74 (95% CI = 0.60-0.88), respectively. In the training (AUC: 0.84 [95% CI = 0.77-0.92]), internal validation (AUC: 0.81 [95% CI = 0.67-0.95]), and external validation cohorts (AUC: 0.74 [95% CI = 0.58-0.89]), the radiomics model showed good predictive ability for differentiation. Compared to the clinical and radiomics models, the nomogram has relatively better diagnostic performance, and the AUC values for nomogram in the training, internal validation, and external validation cohort were 0.86 (95% CI = 0.78-0.93), 0.83 (95% CI = 0.70-0.96), and 0.77 (95% CI = 0.62-0.92), respectively. CONCLUSIONS The 18F-FDG PET/CT-based radiomics model showed good ability for predicting the degree of differentiation of NSCLC. The nomogram combining the radiomics signature and clinical features has relatively better diagnostic performance.
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Affiliation(s)
- F Liu
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Z Xiang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Q Li
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - X Fang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
| | - J Zhou
- The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, China
| | - X Yang
- Sichuan Science City Hospital, Mianyang, Sichuan 621000, China
| | - H Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Changsha 410005, China
| | - Q Yang
- Center for Molecular Imaging Probe, Hunan Province Key Laboratory of Tumour Cellular and Molecular Pathology, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
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Liu X, Lu R, Yang Q, He J, Huang C, Cao Y, Zhou Z, Huang J, Li L, Chen R, Wang Y, Huang J, Xie R, Zhao X, Yu J. USP7 reduces the level of nuclear DICER, impairing DNA damage response and promoting cancer progression. Mol Oncol 2024; 18:170-189. [PMID: 37867415 PMCID: PMC10766207 DOI: 10.1002/1878-0261.13543] [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: 06/01/2023] [Revised: 09/30/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
Endoribonuclease DICER is an RNase III enzyme that mainly processes microRNAs in the cytoplasm but also participates in nuclear functions such as chromatin remodelling, epigenetic modification and DNA damage repair. The expression of nuclear DICER is low in most human cancers, suggesting a tight regulation mechanism that is not well understood. Here, we found that ubiquitin carboxyl-terminal hydrolase 7 (USP7), a deubiquitinase, bounded to DICER and reduced its nuclear protein level by promoting its ubiquitination and degradation through MDM2, a newly identified E3 ubiquitin-protein ligase for DICER. This USP7-MDM2-DICER axis impaired histone γ-H2AX signalling and the recruitment of DNA damage response (DDR) factors, possibly by influencing the processing of small DDR noncoding RNAs. We also showed that this negative regulation of DICER by USP7 via MDM2 was relevant to human tumours using cellular and clinical data. Our findings revealed a new way to understand the role of DICER in malignant tumour development and may offer new insights into the diagnosis, treatment and prognosis of cancers.
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Affiliation(s)
- Xiaojia Liu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Runhui Lu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Qianqian Yang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Jianfeng He
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Caihu Huang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Yingting Cao
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Zihan Zhou
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Jiayi Huang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Lian Li
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Ran Chen
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Yanli Wang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Jian Huang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Ruiyu Xie
- Department of Biomedical Sciences, Faculty of Health SciencesUniversity of MacauChina
| | - Xian Zhao
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
| | - Jianxiu Yu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory of Tumor Microenvironment and InflammationShanghai Jiao Tong University School of MedicineChina
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Jin D, Le J, Yang Q, Cai Q, Dai H, Luo L, Tong J, Shu W. Pneumocystis jirovecii with high probability detected in bronchoalveolar lavage fluid of chemotherapy-related interstitial pneumonia in patients with lymphoma using metagenomic next-generation sequencing technology. Infect Agent Cancer 2023; 18:80. [PMID: 38057898 DOI: 10.1186/s13027-023-00556-1] [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: 08/22/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Previous studies achieved low microbial detection rates in lymphoma patients with interstitial pneumonia (IP) after chemotherapy. However, the metagenomic next-generation sequencing (mNGS) is a comprehensive approach that is expected to improve the pathogen identification rate. Thus far, reports on the use of mNGS in lymphoma patients with chemotherapy-related IP remain scarce. In this study, we summarized the microbial detection outcomes of lymphoma patients with chemotherapy-related IP through mNGS testing of bronchoalveolar lavage fluid (BALF). METHODS Fifteen lymphoma patients with chemotherapy-related IP were tested for traditional laboratory microbiology, along with the mNGS of BALF. Then, the results of mNGS and traditional laboratory microbiology were compared. RESULTS Of the 15 enrolled patients, 11 received rituximab and 8 were administered doxorubicin hydrochloride liposome. The overall microbial yield was 93.3% (14/15) for mNGS versus 13.3% (2/15) for traditional culture methods (P ≤ 0.05). The most frequently detected pathogens were Pneumocystis jirovecii (12/15, 80%), Cytomegalovirus (4/15, 26.7%), and Epstein-Barr virus (3/15, 20%). Mixed infections were detected in 10 cases. Five patients recovered after the treatment with antibiotics alone without glucocorticoids. CONCLUSION Our findings obtained through mNGS testing of BALF suggested a high microbial detection rate in lymphoma patients with IP after chemotherapy. Notably, there was an especially high detection rate of Pneumocystis jirovecii. The application of mNGS in patients with chemotherapy-related IP was more sensitive.
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Affiliation(s)
- Dian Jin
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Jing Le
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Qianqian Yang
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Qianqian Cai
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Hui Dai
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Liufei Luo
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Jiaqi Tong
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China
| | - Wenxiu Shu
- Department of Hematology, Ningbo Medical Treatment Center Li Huili Hospital, No.1111, Jiangnan road, Ningbo, 315010, China.
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Zhong C, Chen YL, Yu XX, Yang Q, Shi YQ, Tan LW, Wang AS, Wu DQ, Zhang GF, Yang HP, Li Q, Wang M. [Analysis of etiology and complications in children with stage 5 chronic kidney disease]. Zhonghua Er Ke Za Zhi 2023; 61:1109-1117. [PMID: 38018048 DOI: 10.3760/cma.j.cn112140-20230728-00044] [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: 11/30/2023]
Abstract
Objective: To investigate the etiology, complications, and prognostic factors of stage 5 chronic kidney disease (CKD5) in children. Methods: A case series study was conducted to retrospectively analyze the general situation, clinical manifestations, laboratory tests, genetic testing, and follow-up data (until October 2022) of 174 children with CKD5 who were diagnosed and hospitalized at the Children's Hospital of Chongqing Medical University from April 2012 to April 2021. The characteristics of complications in the children were compared based on age, gender, and etiology. Based on the presence or absence of left ventricular hypertrophy (LVH), patients were divided into LVH group and non LVH group for analyzing the influencing factors of cardiovascular disease. Patients were also divided into death group and survival group, peritoneal dialysis group and hemodialysis group based on the follow-up data for analyzing the prognostic factors. The chi-square test, independent sample t-test, Fisher exact probability test, Mann-Whitney U test and Kruskal Wallis test were used to analyze data among different groups. Multivariate Logistic regression analysis was used to identify the prognostic factors. Results: A total of 174 children with CKD5 were enrolled in the study (96 boys and 78 girls), aged 11.2 (8.2, 13.0) years. Congenital kidney and urinary tract malformations (CAKUT) were the most common causes of the CKD5 (84 cases, 48.3%), followed by glomerular diseases (83 cases, 47.7%), and among which 28 cases (16.1%) were hereditary glomerular diseases. The common complications of CKD5 included anemia (98.2%, 165/168), mineral and bone disorder in chronic kidney disease (CKD-MBD) (97.7%, 170/174), lipid metabolism disorders (87.5%, 63/72), hypertension (81.4%, 127/156) and LVH (57.6%,57/99). The incidences of hypertension in primary glomerular disease were higher than that in CAKUT(93.8%(30/32) vs.73.7%(56/76),χ2=5.59,P<0.05). The incidences of hypertension in secondary glomerular disease were higher than that in CAKUT and that in hereditary kidney disease (100.0%(20/20) vs. 73.7%(56/76), 68.2%(15/22), both P<0.05). The incidence of hypocalcemia in CAKUT, primary glomerular disease, and hereditary kidney disease was higher than that in secondary glomerular disease (82.1%(69/84), 88.2%(30/34), 89.3%(25/28) vs. 47.6%(10/21), χ2=10.21, 10.75, 10.80, all P=0.001); the incidence of secondary hyperparathyroidism in women was higher than that in men (80.0%(64/80) vs. 95.0%(57/60), χ2=6.58, P=0.010). The incidence of LVH in children aged 6-<12 was higher than that in children aged 12-18 (73.5%(25/34) vs. 43.1%(22/51), χ2=7.62, P=0.006). Among 113 follow-up children, the mortality rate was 39.8% (45/113). Compared to the survival group, the children in the death group had lower hemoglobin, higher blood pressure, lower albumin, lower alkaline phosphatase and higher left ventricular mass index ((67±19) vs. (75±20) g/L, 142 (126, 154) vs. 128(113, 145) mmHg(1 mmHg=0.133 kPa), (91±21) vs. (82±22) mmHg, 32 (26, 41) vs. 40 (31, 43) g/L, 151 (82, 214) vs. 215 (129, 37) U/L, 48 (38, 66) vs. 38(32, 50) g/m2.7,t=2.03, Z=2.89, t=2.70, Z=2.49, 2.79, 2.29,all P<0.05), but no independent risk factors were identified (all P>0.05). The peritoneal dialysis group had better alleviation for anemia, low calcium, and high phosphorus than the hemodialysis group ((87±22) vs. (72±16) g/L, (1.9±0.5) vs. (1.7±0.4) mmol/L, (2.2±0.7) vs. (2.8±0.9) mmol/L, t=2.92, 2.29, 2.82, all P<0.05), and the survival rate of the peritoneal dialysis group was significantly higher than that of the hemodialysis group (77.8% (28/36) vs. 48.4% (30/62), χ2=8.14, P=0.004). Conclusions: CAKUT is the most common etiology in children with CKD 5, and anemia is the most common complication. The incidence of complications in children with CKD 5 varies with age, gender and etiology. Anemia, hypertension, hypoalbuminemia, reduced alkaline phosphatase and elevated LVMI may be the prognostic factors in children with CKD5. Peritoneal dialysis may be more beneficial for improving the long-term survival rate.
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Affiliation(s)
- C Zhong
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Y L Chen
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - X X Yu
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Q Yang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Y Q Shi
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - L W Tan
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - A S Wang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - D Q Wu
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - G F Zhang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - H P Yang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - Q Li
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
| | - M Wang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing 400014, China
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Xu S, Zhang X, Yang Q, Li J, Yu Z. Identification of Microbial Community in Otomycosis by Metagenomic Next Generation Sequencing (mNGS): Potential Implication of Treatment with Terbinafine. Mycopathologia 2023; 188:995-1005. [PMID: 37723360 DOI: 10.1007/s11046-023-00791-5] [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: 03/29/2023] [Accepted: 08/28/2023] [Indexed: 09/20/2023]
Abstract
The present study was designed to identify the microbial community as well as to analyze its diversity by means of metagenomic Next Generation Sequencing (mNGS) in 17 patients with otomycosis treated with terbinafine in the Department of Otolaryngology of Shandong Provincial Hospital from June 2021 to June 2022, so as to evaluate the relationship between microbial community and terbinafine resistance. Those 17 patients were divided into two groups, i.e., Terbinafine Effective Group (TEG, n = 14 cases) and Terbinafine Resistance Group (TRG, n = 3 cases) according to the therapy effect, whose microbial community of secretion of external auditory canal was identified using mNGS. We found that the sequence of bacteria was significantly more than that of fungi and, whereas, the difference between the two groups of bacteria was not significant. There were significant differences in fungal community between the two groups. Aspergillus was the main pathogenic fungus of TEG patients while Malassezia was a dominant fungus in TRG patients. In conclusion, the results from this work indicate that Aspergillus terreusis is the main pathogenic fungus in this cohort of otomycosis patients and MNGS sequencing can offer comprehensive information about the microbial community of otomycosis. The fungus community dominated by Malassezia is more likely to be resistant to terbinafine, which provides certain guidance for clinical treatment of otomycosis with terbinafine.
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Affiliation(s)
- Shuai Xu
- Department of Otolaryngology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xin Zhang
- Department of Otolaryngology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Qianqian Yang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215123, Jiangsu, China
| | - Jianfeng Li
- Department of Otolaryngology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
| | - Zhaoyan Yu
- Department of Otolaryngology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
- Dr. Michael Siu Academician Workstation, Shandong Public Health Clinical Center, Jinan, 250100, Shandong, China.
- Shandong Provincial Key Laboratory for Infectious Respiratory Diseases, Jinan, 250100, Shandong, China.
- Shandong Provincial Clinical Medical Research Center for Infectious Diseases, Shandong Public Health Clinical Center, Jinan, 250100, Shandong, China.
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28
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Zhang J, Wang G, Yan B, Yang G, Yang Q, Hu Y, Guo J, Zhao N, Wang L, Wang H. Integrative analysis of transcriptome and proteome profiles in primary and recurrent glioblastoma. Proteomics Clin Appl 2023:e2200085. [PMID: 38037768 DOI: 10.1002/prca.202200085] [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: 10/05/2022] [Revised: 10/14/2023] [Accepted: 10/26/2023] [Indexed: 12/02/2023]
Abstract
PURPOSE Glioblastoma (GBM) is the most common and aggressive primary brain tumor characterized by poor prognosis and high recurrence. The underlying molecular mechanism that drives tumor progression and recurrence is unclear. This study is intended to look for molecular and biological changes that play a key role in GBM recurrence. EXPERIMENTAL DESIGN An integrative transcriptomic and proteomic analysis was performed on three primary GBM and three recurrent GBM tissues. Omics analyses were conducted using label-free quantitative proteomics and whole transcriptome sequencing. RESULTS A significant difference was found between primary GBM and recurrent GBM at the transcriptional level. Similar to other omics studies of cancer, a weak overlap was observed between transcriptome and proteome, and Procollagen C-Endopeptidase Enhancer 2 (PCOLCE2) was observed to be upregulated at mRNA and protein levels. Analysis of public cancer database revealed that high expression of PCOLCE2 is associated with poor prognosis of patients with GBM and that it may be a potential prognostic indicator. Functional and environmental enrichment analyses revealed significantly altered signaling pathways related to energy metabolism, including mitochondrial ATP synthesis-coupled electron transport and oxidative phosphorylation. CONCLUSIONS AND CLINICAL RELEVANCE This study provides new insights into the recurrence process of GBM through combined transcriptomic and proteomic analyses, complementing the existing GBM transcriptomic and proteomic data and suggesting that integrated multi-omics analyses may reveal new disease features of GBM.
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Affiliation(s)
- Jiajie Zhang
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
| | - Guowei Wang
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an, Shaanxi, China
| | - Bo Yan
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, Shaanxi, China
| | - Ge Yang
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi'an, Shaanxi, China
| | - Qianqian Yang
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, Shaanxi, China
| | - Yaqin Hu
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Jiuru Guo
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Ningning Zhao
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
| | - Liang Wang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Huijuan Wang
- The National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University, Xi'an, China
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Zhu M, Yang Q, Zhan S, Liu W, Liu W, Guo L, Huang S. Clinicopathological analysis of bronchiolar adenoma combined with lung adenocarcinoma: Report of eight cases and literature review. Histol Histopathol 2023:18682. [PMID: 38059279 DOI: 10.14670/hh-18-682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
AIMS To investigate the clinicopathological characteristics and potential diagnostic pitfalls of bronchiolar adenoma (BA) combined with lung adenocarcinoma (LUAD) in the same lesion. METHODS We analyzed eight cases of BA combined with LUAD from our hospital pathology department between July 2020 and January 2022, and summarized their clinical data, radiological features, histopathological characteristics and immunohistochemical phenotypes. RESULTS Upon macroscopic examination, the lesions were characterized by gray-white or gray-brown solid nodules with well-defined borders, measuring 0.6-1.8cm in maximum diameter. The incidence of proximal-type BA (6/8) was higher than that of distal-type BA (2/8), and they combined with different stages of LUAD, including adenocarcinoma in situ, minimally invasive adenocarcinoma, invasive adenocarcinoma, and invasive mucinous adenocarcinoma (IMA). Immunohistochemistry showed that cytokeratin 5/6 and P40 were positive in the continuous basal cell layer in BA, but only scattered positive basal cells were seen at the junction of BA and LUAD. TTF-1 was positive in proximal-type BA ciliated cells in five cases and in LUAD cells in seven cases, and weakly positive in some basal cells. One case of IMA and mucinous cells of BA were TTF-1 negative. There was partially positive Napsin-A expression in BA luminal cells and LUAD cells of all cases except IMA. CONCLUSION There is no obvious boundary when BA and LUAD are in the same lesion. The luminal epithelial cells in the area where the two components migrate toward each other are atypical and lack a continuous underlying basal cell layer. Microscopic diagnosis should be aided by immunohistochemistry.
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Affiliation(s)
- Minsheng Zhu
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Qianqian Yang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Shenghua Zhan
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weishuo Liu
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Wei Liu
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Lingchuan Guo
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
| | - Shan Huang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
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30
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Fan Z, Yang Q, Zhang W, Wen H, Yuan H, He J, Yang HG, Chen Z. Self-Reconstruction of Sulfate-Terminated Copper Oxide Nanorods for Efficient and Stable 5-Hydroxymethylfurfural Electrooxidation. Nano Lett 2023. [PMID: 38018816 DOI: 10.1021/acs.nanolett.3c03949] [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] [Indexed: 11/30/2023]
Abstract
The electrochemical 5-hydroxymethylfurfural oxidation reaction (HMFOR) has been regarded as a viable alternative to sustainable biomass valorization. However, the transformation of the catalysts under harsh electrooxidation conditions remains controversial. Herein, we confirm the self-construction of cuprous sulfide nanosheets (Cu2S NSs) into sulfate-terminated copper oxide nanorods (CuO-SO42- NRs) during the first-cycle of the HMFOR, which achieves a near-quantitative synthesis of 2,5-furandicarboxylic acid (FDCA) with a >99.9% yield and faradaic efficiency without deactivation in 15 successive cycles. Electrochemical impedance spectroscopies confirm that the surface SO42- effectively reduces the onset potential for HMFOR, while in situ Raman spectroscopies identify a reversible transformation from CuII-O to CuIII-OOH in HMFOR. Furthermore, density functional theory calculations reveal that the surface SO42- weakens the Cu-OH bonds in CuOOH to promote the rate-determining step of its coupling with the C atom in HMF-H* resulting from HMF hydrogenation, which synergistically enhances the catalytic activity of CuO-SO42- NRs toward HMF-to-FDCA conversion.
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Affiliation(s)
- Ziyi Fan
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Qianqian Yang
- Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, 130 Meilong Road, 200237, Shanghai, China
| | - Wenjun Zhang
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Huiming Wen
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Haiyang Yuan
- Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, 130 Meilong Road, 200237, Shanghai, China
| | - Jing He
- State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Hua Gui Yang
- Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Materials Science and Engineering, East China University of Science and Technology, 130 Meilong Road, 200237, Shanghai, China
| | - Zupeng Chen
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
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31
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Yang Q, Tian H, Guo Z, Ma Z, Wang G. The role of noncoding RNAs in the tumor microenvironment of hepatocellular carcinoma. Acta Biochim Biophys Sin (Shanghai) 2023; 55:1697-1706. [PMID: 37867435 PMCID: PMC10686793 DOI: 10.3724/abbs.2023231] [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: 04/23/2023] [Accepted: 07/11/2023] [Indexed: 10/24/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the leading fatal malignancy worldwide. The tumor microenvironment (TME) can affect the survival, proliferation, migration, and even dormancy of cancer cells. Hypoxia is an important component of the TME, and hypoxia-inducible factor-1α (HIF-1α) is the most important transcriptional regulator. Noncoding RNAs (ncRNAs), including microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), comprise a large part of the human transcriptome and play an important role in regulating the tumorigenesis of HCC. This review discusses the role of ncRNAs in hepatocarcinogenesis, epithelial-mesenchymal transition (EMT), and angiogenesis in a hypoxic microenvironment, as well as the interactions between ncRNAs and key components of the TME. It further discusses their use as biomarkers and the potential clinical value of drugs, as well as the challenges faced in the future.
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Affiliation(s)
- Qianqian Yang
- Laboratory for Noncoding RNA and CancerSchool of Life SciencesShanghai UniversityShanghai200444China
| | - Hui Tian
- Department of GeriatricsZhongshan HospitalFudan UniversityShanghai200032China
| | - Ziyi Guo
- Laboratory for Noncoding RNA and CancerSchool of Life SciencesShanghai UniversityShanghai200444China
| | - Zhongliang Ma
- Laboratory for Noncoding RNA and CancerSchool of Life SciencesShanghai UniversityShanghai200444China
| | - Guangzhi Wang
- School of Medical ImagingWeifang Medical UniversityWeifang261053China
- Department of Medical Imaging CenterAffiliated Hospital of Weifang Medical UniversityWeifang261053China
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32
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Abdulhamid MI, Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aslam S, Atchison J, Averichev GS, Bairathi V, Baker W, Cap JGB, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Sánchez MCDLB, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chatterjee A, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Gao T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison-Smith H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Elayavalli RK, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu G, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd EM, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Aguilar MAR, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen D, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Tyler J, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang J, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu X, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang W, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Hyperon Polarization along the Beam Direction Relative to the Second and Third Harmonic Event Planes in Isobar Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2023; 131:202301. [PMID: 38039468 DOI: 10.1103/physrevlett.131.202301] [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] [Received: 03/16/2023] [Revised: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 12/03/2023]
Abstract
The polarization of Λ and Λ[over ¯] hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at sqrt[s_{NN}]=200 GeV. This is the first experimental evidence of the hyperon polarization by the triangular flow originating from the initial density fluctuations. The amplitudes of the sine modulation for the second and third harmonic results are comparable in magnitude, increase from central to peripheral collisions, and show a mild p_{T} dependence. The azimuthal angle dependence of the polarization follows the vorticity pattern expected due to elliptic and triangular anisotropic flow, and qualitatively disagrees with most hydrodynamic model calculations based on thermal vorticity and shear induced contributions. The model results based on one of existing implementations of the shear contribution lead to a correct azimuthal angle dependence, but predict centrality and p_{T} dependence that still disagree with experimental measurements. Thus, our results provide stringent constraints on the thermal vorticity and shear-induced contributions to hyperon polarization. Comparison to previous measurements at RHIC and the LHC for the second-order harmonic results shows little dependence on the collision system size and collision energy.
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Affiliation(s)
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - S Aslam
- Indian Institute Technology, Patna, Bihar 801106, India
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - A Chatterjee
- National Institute of Technology Durgapur, Durgapur-713209, India
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- University of Calabria & INFN-Cosenza, Rende 87036, Italy
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - F A Flor
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - T Gao
- Shandong University, Qingdao, Shandong 266237
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - A Hamed
- American University in Cairo, New Cairo 11835, Egypt
| | - Y Han
- Rice University, Houston, Texas 77251
| | - M D Harasty
- University of California, Davis, California 95616
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | | | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - C Hu
- University of Chinese Academy of Sciences, Beijing 101408
| | - Q Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Hu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Central China Normal University, Wuhan, Hubei 430079
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - M Isshiki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jalotra
- University of Jammu, Jammu 180001, India
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - Y Ji
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - C Jin
- Rice University, Houston, Texas 77251
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - D Kalinkin
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M Kelsey
- Wayne State University, Detroit, Michigan 48201
| | - B Kimelman
- University of California, Davis, California 95616
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A G Knospe
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H S Ko
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- University of Heidelberg, Heidelberg 69120, Germany
| | - N Lewis
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Z Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Liang
- University of California, Riverside, California 92521
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - T Lin
- Shandong University, Qingdao, Shandong 266237
| | - C Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - G Liu
- South China Normal University, Guangzhou, Guangdong 510631
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - H Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - L Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - O Lomicky
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - E M Loyd
- University of California, Riverside, California 92521
| | - T Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - X F Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - V B Luong
- Joint Institute for Nuclear Research, Dubna 141 980
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Fudan University, Shanghai, 200433
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - G McNamara
- Wayne State University, Detroit, Michigan 48201
| | - K Mi
- Central China Normal University, Wuhan, Hubei 430079
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Yale University, New Haven, Connecticut 06520
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Mudrokh
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M I Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - A S Nain
- Panjab University, Chandigarh 160014, India
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Sejong University, Seoul 05006, South Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - A Paul
- University of California, Riverside, California 92521
| | - C Perkins
- University of California, Berkeley, California 94720
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - T Protzman
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - Z Qin
- Tsinghua University, Beijing 100084
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
| | | | - N Raha
- Wayne State University, Detroit, Michigan 48201
| | - R L Ray
- University of Texas, Austin, Texas 78712
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | | | - D Roy
- Rutgers University, Piscataway, New Jersey 08854
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - E Samigullin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - T Shao
- Fudan University, Shanghai, 200433
| | - M Sharma
- University of Jammu, Jammu 180001, India
| | - N Sharma
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - S R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | | | - D Shen
- Shandong University, Qingdao, Shandong 266237
| | - D Y Shen
- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - F Si
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - P Sinha
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - M J Skoby
- Ball State University, Muncie, Indiana 47306
- Purdue University, West Lafayette, Indiana 47907
| | - Y Söhngen
- University of Heidelberg, Heidelberg 69120, Germany
| | - Y Song
- Yale University, New Haven, Connecticut 06520
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Wayne State University, Detroit, Michigan 48201
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - Y Su
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Sun
- State University of New York, Stony Brook, New York 11794
| | - X Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
| | - A Tamis
- Yale University, New Haven, Connecticut 06520
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M V Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - O D Tsai
- Brookhaven National Laboratory, Upton, New York 11973
- University of California, Los Angeles, California 90095
| | - C Y Tsang
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Tyler
- Texas A&M University, College Station, Texas 77843
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
| | - I Upsal
- University of Science and Technology of China, Hefei, Anhui 230026
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - A N Vasiliev
- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - V Verkest
- Wayne State University, Detroit, Michigan 48201
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - J Wang
- Shandong University, Qingdao, Shandong 266237
| | - X Wang
- Shandong University, Qingdao, Shandong 266237
| | - Y Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G Wilks
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - J Wu
- Central China Normal University, Wuhan, Hubei 430079
| | - J Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - X Wu
- University of California, Los Angeles, California 90095
| | - X Wu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wu
- University of California, Riverside, California 92521
| | - B Xi
- Fudan University, Shanghai, 200433
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Chinese Academy of Sciences, Beijing 101408
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - G Yan
- Shandong University, Qingdao, Shandong 266237
| | - Z Yan
- State University of New York, Stony Brook, New York 11794
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- South China Normal University, Guangzhou, Guangdong 510631
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Shandong University, Qingdao, Shandong 266237
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Zhang
- South China Normal University, Guangzhou, Guangdong 510631
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Shandong University, Qingdao, Shandong 266237
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - F Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Zhao
- Fudan University, Shanghai, 200433
| | - M Zhao
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Zhou
- Fudan University, Shanghai, 200433
| | - J Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Shi G, Liu G, Liu H, Xu N, Yang Q, Song Z, Ye W, Wang L. WRKY Transcriptional Factor IlWRKY70 from Iris laevigata Enhances Drought and Salinity Tolerances in Nicotiana tabacum. Int J Mol Sci 2023; 24:16174. [PMID: 38003365 PMCID: PMC10670936 DOI: 10.3390/ijms242216174] [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: 10/13/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Drought and high salinity greatly affect plant growth and development. WRKY transcription factors play a key role in plant tolerance to abiotic stress, but the functions of WRKYs in the ornamental monocotyledon Iris laevigata remain largely unexplored. In this study, we cloned IlWRKY70 and found that it is a Group III WRKY localized in the nucleus. The expression of IlWRKY70 was induced by NaCl and PEG-6000, which reached peaks (4.38 and 5.65 times) after 3 h and 1 h, respectively. The exogenous overexpression of IlWRKY70 in N. tabacum significantly improved the resistance under NaCl and drought treatments, as evidenced by higher germination rates, longer root lengths, and increased fresh weights compared to those of control plants. In addition, transgenic seedlings showed significantly reduced wilting, higher photosynthetic performance, higher Fv/Fm and chlorophyll content, and lower stomatal conductance. Moreover, transgenic lines showed higher antioxidant enzymatic activities, lower reactive oxygen species (ROS), and lower malondialdehyde contents. Accordingly, we also found higher expressions of antioxidant defense genes, including SOD, CAT, and POD, in transgenic lines compared to controls under salt and drought stresses. Thus, IlWRKY70 enhances the abilities of salt and drought tolerances in plants, at least partially, via ROS regulation and can be used for breeding I. laevigata possessing enhanced salt and drought resistances.
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Affiliation(s)
| | | | | | | | | | | | | | - Ling Wang
- College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China (G.L.); (N.X.); (Q.Y.); (W.Y.)
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Xu HJ, Yang Q, He P, Luo HH, Deng WM, Liu Z, Luo DH. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules]. Zhonghua Yi Xue Za Zhi 2023; 103:3279-3286. [PMID: 37926572 DOI: 10.3760/cma.j.cn112137-20230913-00453] [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: 11/07/2023]
Abstract
Objective: To investigate the value of radiomics models based on magnetic resonance imaging (MRI) diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps in distinguishing benign and malignant thyroid nodules. Methods: A cross-sectional study. Clinical data of 148 thyroid nodules (50 benign, 98 malignant) from 140 patients who underwent thyroid MRI examination in Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences between January 2019 and December 2022 were retrospectively analyzed. The nodules were used as the study units, and a leave-one-out method was used to randomly divide the nodules into a training set and a test set at a 7∶3 ratio. Region of interest was segmented and radiomics features were extracted from the DWI and ADC images. In the training set, feature selection was performed using inter-observer agreement analysis, U-test, least absolute shrinkage and selection operator algorithm, and correlation analysis. Four classifiers, including support vector machine (SVM), random forest (RF), k-nearest neighbors (KNN) and logistic regression (LR) were used to build models with the selected features, including the DWI models, ADC models, and combined models. The models were independently tested in the test set. The performance of the radiomics models in distinguishing benign and malignant thyroid nodules was evaluated using the receiver operating characteristic (ROC) curve, with pathological results as the gold standard. Results: Of the 140 patients, there were 40 males and 100 females, with a mean age of (38.4±12.2) years. After feature selection, 11 DWI features and 11 ADC features were used to build the models. In the training set, the AUC values of the combined models were higher than those of the corresponding DWI and ADC models. In the test set, the SVM combined model showed the best predictive performance, with an AUC of 0.873 (95%CI:0.740-0.954), accuracy of 75.6%, sensitivity of 46.7%, specificity of 90.0%, positive predictive value (PPV) of 70.0% and negative predictive value (NPV) of 77.1%, while the RF combined model had an AUC of 0.836 (95%CI:0.695-0.929), accuracy of 77.8%, sensitivity of 40.0%, specificity of 96.7%, PPV of 85.7% and NPV of 76.3%, the KNN combined model had an AUC of 0.832 (95%CI:0.691-0.927), accuracy of 77.8%, sensitivity of 33.3%, specificity of 100%, PPV of 100% and NPV of 75.0%, the LR combined model had an AUC of 0.813 (95%CI:0.669-0.914), accuracy of 77.8%, sensitivity of 60.0%, specificity of 86.7%, PPV of 69.2% and NPV of 81.3%. Conclusions: Radiomics models based on DWI and ADC image features can effectively distinguish benign and malignant thyroid nodules. The SVM combined model had the best prediction performance.
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Affiliation(s)
- H J Xu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - Q Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - P He
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - H H Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - W M Deng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - Z Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - D H Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
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Feng Z, Chen M, Yang Q, Wang Z, Li L, Zhao H, Zhao G. New Insights into Selective Singlet Oxygen Production via the Typical Electroactivation of Oxygen for Water Decontamination. Environ Sci Technol 2023; 57:17123-17131. [PMID: 37875432 DOI: 10.1021/acs.est.3c06336] [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] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
Selective production of singlet oxygen (1O2) as an electrophilic oxidant is crucial for the precise control of chemical targets in environmental fields. Herein, we proposed a strategy to construct a redox interface on electrodes, which can in situ produce inorganic metal hydroperoxides with appropriate oxidative ability during oxygen activation. Benefiting from atomic Cu sites (CuN4) in a copper-carbon aerogel electrode, almost complete production of 1O2 was achieved, thereby refraining the competitive formation of other reactive oxygen species. The fast electron transfer rate between CuN4 and electrogenerated H2O2 promoted the in situ formation of copper hydroperoxide (N4-Cu-OOH), thereby selectively and efficiently oxidizing intermediate O2•- to 1O2. The optimized production of 1O2 was up to 2583 μmol L-1 without additional chemical reagents. We further considered the high production of 1O2 for efficiently removing electron-rich organic pollutants from a complex water matrix. Fast kinetics was achieved and considered for removing various pollutants with electron-donating substituents in a nonradical oxidation pathway. The BPA degradation efficiency is less susceptible to the coexisting natural organic matter (NOM) and inorganic ions. Specifically, the kinetic constant for BPA removal is 34 times higher than that for a nanoparticle of a copper-carbon electrode while producing a hydroxyl radical. Our findings highlight the innovative interfacial surface engineering of an electrocatalytic O2 activation system to selectively generate 1O2 for future potential applications.
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Affiliation(s)
- Zhiyuan Feng
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Min Chen
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Qianqian Yang
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Zining Wang
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Lina Li
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, 239 Zhangheng Road, Shanghai 200120, China
| | - Hongying Zhao
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
| | - Guohua Zhao
- Shanghai Key Lab of Chemical Assessment and Sustainability, Key Laboratory of Yangtze River Water Environment, School of Chemical Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
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36
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Nie Q, Wan X, Tao H, Yang Q, Zhao X, Liu H, Hu J, Luo Y, Shu T, Geng R, Gu Z, Fan F, Liu Z. Multi-function screening of probiotics to improve oral health and evaluating their efficacy in a rat periodontitis model. Front Cell Infect Microbiol 2023; 13:1261189. [PMID: 38029238 PMCID: PMC10660970 DOI: 10.3389/fcimb.2023.1261189] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
The oral cavity is the second most microbially rich region of the human body, and many studies have shown that there is a strong association between microorganisms and oral health. Some pathogenic bacteria produce biofilms and harmful metabolites in the mouth that may cause oral problems such as oral malodor, periodontitis, and dental caries. Altering the oral microbiota by using probiotics may alleviate oral health problems. Thus, using multi-function screening, we aimed to identify probiotics that can significantly improve oral health. The main parameters were the inhibition of pathogenic bacteria growth, inhibition of biofilm formation, reduction in the production of indole, H2S, and NH3 metabolites that cause halitosis, increase in the production of H2O2 to combat harmful bacteria, and co-aggregation with pathogens to prevent their adhesion and colonization in the oral cavity. Tolerance to cholic acid and choline was also assessed. Bifidobacterium animalis ZK-77, Lactobacillus salivarius ZK-88, and Streptococcus salivarius ZK-102 had antibacterial activity and inhibited biofilm production to prevent caries. They also improved the oral malodor parameter, H2S, NH3, and indole production. The selected probiotics (especially L. salivarius ZK-88) alleviated the inflammation in the oral cavity of rats with periodontitis. The analysis of the gingival crevicular fluid microbiome after probiotic intervention showed that B. animalis ZK-77 likely helped to restore the oral microbiota and maintain the oral microecology. Next, we determined the best prebiotics for each candidate probiotic in order to obtain a formulation with improved effects. We then verified that a probiotics/prebiotic combination (B. animalis ZK-77, L. salivarius ZK-88, and fructooligosaccharides) significantly improved halitosis and teeth color in cats. Using whole-genome sequencing and acute toxicity mouse experiments involving the two probiotics, we found that neither probiotic had virulence genes and they had no significant effects on the growth or development of mice, indicating their safety. Taking the results together, B. animalis ZK-77 and L. salivarius ZK-88 can improve oral health, as verified by in vivo and in vitro experiments. This study provides a reference for clinical research and also provides new evidence for the oral health benefits of probiotics.
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Affiliation(s)
- Qingqing Nie
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Xuchun Wan
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Tao
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Qianqian Yang
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Xueyang Zhao
- College of Life Sciences, Henan Normal University, Xinxiang, Henan, China
| | - Haixia Liu
- Huayuan Biotechnology Institute, Beijing, China
| | - Jun Hu
- National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- Hubei Jiangxia Laboratory, Wuhan, China
| | - Yanan Luo
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Shu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Ran Geng
- Huayuan Biotechnology Institute, Beijing, China
| | - Zhijing Gu
- Huayuan Biotechnology Institute, Beijing, China
| | - Fengkai Fan
- Hubei Key Laboratory of Purification and Application of Plant Anti-Cancer Ingredients, College of Chemistry and Life Science, Hubei University of Education, Wuhan, China
| | - Zhi Liu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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Yang Q, Wang L, Liang Y, He Q, Sun Q, Luo J, Cao H, Fang Y, Zhou Y, Yang J, Wen P, Jiang L. Loss of UCP2 causes mitochondrial fragmentation by OMA1-dependent proteolytic processing of OPA1 in podocytes. FASEB J 2023; 37:e23265. [PMID: 37874273 DOI: 10.1096/fj.202301055r] [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: 05/26/2023] [Revised: 08/26/2023] [Accepted: 10/10/2023] [Indexed: 10/25/2023]
Abstract
Mitochondrial dysfunction plays an important role in the onset and progression of podocyte injury and proteinuria. However, the process by which the change in the podocyte mitochondria occurs is not well understood. Uncoupling protein 2 (UCP2) is a mitochondrial anion carrier protein, which is located in the mitochondrial inner membrane. Here, we reported that mice with podocyte-specific Ucp2 deficiency developed podocytopathy with proteinuria with aging. Furthermore, those mice exhibited increased proteinuria in experimental models evoked by Adriamycin. Our findings suggest that UCP2 mediates mitochondrial dysfunction by regulating mitochondrial dynamic balance. Ucp2-deleted podocytes exhibited increased mitochondrial fission and deficient in ATP production. Mechanistically, opacity protein 1 (OPA1), a key protein in fusion of mitochondrial inner membrane, was regulated by UCP2. Ucp2 deficiency promoted proteolysis of OPA1 by activation OMA1 which belongs to mitochondrial inner membrane zinc metalloprotease. Those finding demonstrate the role of UCP2 in mitochondrial dynamics in podocytes and provide new insights into pathogenesis associated with podocyte injury and proteinuria.
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Affiliation(s)
- Qianqian Yang
- Division of Nephrology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Lulu Wang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuehong Liang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qingyu He
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qi Sun
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Luo
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongdi Cao
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yi Fang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yang Zhou
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junwei Yang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ping Wen
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lei Jiang
- Center for Kidney Disease, Second Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
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Li Y, Yang H, Nong H, Wang F, Wang Y, Xu Y, Zhang J, Zhao H, Cao Z, Yang Q, Li J. 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase (HMGCR) protects hair cells from cisplatin-induced ototoxicity in vitro: possible relation to the activities of p38 MAPK signaling pathway. Arch Toxicol 2023; 97:2955-2967. [PMID: 37608195 DOI: 10.1007/s00204-023-03588-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 05/29/2023] [Accepted: 08/10/2023] [Indexed: 08/24/2023]
Abstract
The 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase (HMGCR) gene encodes rate-limiting enzyme in cholesterol biosynthesis, which is related to cell proliferation and mitochondrial function. The present study was designed to explore the expression of HMGCR in murine cochlear hair cells and HEI-OC1 cells and the possible mechanisms underpinning the actions of HMGCR in cisplatin-induced ototoxicity, with special attention given to p38 mitogen-activated protein kinase (MAPK) activities in vitro. The expressions of HMGCR, p-p38, cleaved caspase-3 and LC3B was measured by immunofluorescence and western blot. JC-1 staining and MitoSOX Red were used to detect mitochondria membrane potential (MMP) and reactive oxygen species (ROS) levels respectively. The apoptosis of auditory cells was assessed by TUNEL staining and flow cytometry. Protein levels of bcl2/bax and beclin1 were examined by western blot. We found that HMGCR was widely expressed in the auditory cells, of both neonatal mice and 2-month-old mice, in cytoplasm, nucleus and stereocilia. Moreover, 30 μM cisplatin elicited the formation of ROS, which, in turn, led to HMGCR reduction, activating p38 kinase-related apoptosis and autophagy in auditory cells. Meanwhile, co-treatment with ROS scavenger at a concentration of 2 mM, N-acetyl-L-cysteine (NAC), could alleviate the aforementioned changes. In addition, HMGCR silencing resulted in higher p38 MAPK-mediated apoptosis and autophagy under cisplatin injury. Taken together, we demonstrate that, for the first time, that HMGCR is expressed in the cochlear. Furthermore, HMGCR exerts protective benefit on auditory cells against cisplatin-mediated injury stimulated by ROS, culminating in regulation of p38 MAPK-dependent apoptosis and autophagy.
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Affiliation(s)
- Yanan Li
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Huiming Yang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Huiming Nong
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Fan Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Yajie Wang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Yue Xu
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Junhong Zhang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Hao Zhao
- Department of Otolaryngology, Head and Neck Surgery, People's Hospital, Peking University, Beijing, China
| | - Zhixin Cao
- Department of Pathology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Qianqian Yang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, 215123, Jiangsu, China.
| | - Jianfeng Li
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China.
- Shandong Provincial Key Laboratory of Otology, Jinan, Shandong, China.
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Huang Q, Zhang N, Wang J, Xu H, Yao L, Yang Q, Yan D, Chen X, Xue Q, Xiao M, Wu J, Wu X, Liu Q, Tang D, Chen X, Li X, Liu J. Bilirubin inhibits lung carcinogenesis by up-regulating cystatin A expression in tumor-infiltrating macrophages. Genes Dis 2023; 10:2222-2225. [PMID: 37554191 PMCID: PMC10404995 DOI: 10.1016/j.gendis.2023.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/28/2023] [Accepted: 02/08/2023] [Indexed: 03/29/2023] Open
Affiliation(s)
- Qingtian Huang
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
- Institute of Digestive Disease, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong 511518, China
| | - Na Zhang
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Jiangtuan Wang
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Hua Xu
- Department of Pathology, Dongguan People's Hospital Affiliated to Southern Medical University, Dongguan, Guangdong 523059, China
| | - Leyi Yao
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
- Institute of Digestive Disease, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong 511518, China
| | - Qianqian Yang
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Ding Yan
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Xi Chen
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Qian Xue
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Min Xiao
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Jiawen Wu
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Xueheng Wu
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Qin Liu
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Daolin Tang
- Department of Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xin Chen
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Xiaofen Li
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
| | - Jinbao Liu
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
- Institute of Digestive Disease, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong 511518, China
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Zhang X, Yang Q, Ma L, Zhang D, Lin W, Schlensky N, Cheng H, Zheng Y, Luo X, Ding C, Zhang Y, Hou X, Lu F, Yan H, Wang R, Li CZ, Qu K. Automatically showing microbial growth kinetics with a high-performance microbial growth analyzer. Biosens Bioelectron 2023; 239:115626. [PMID: 37643493 DOI: 10.1016/j.bios.2023.115626] [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: 07/12/2023] [Revised: 08/11/2023] [Accepted: 08/20/2023] [Indexed: 08/31/2023]
Abstract
It is difficult to show microbial growth kinetics online when they grow in complex matrices. We presented a novel strategy to address this challenge by developing a high-performance microbial growth analyzer (HPMGA), which employed a unique 32-channel capacitively coupled contactless conductivity detector as a sensing element and fixed with a CellStatz software. It was capable of online showing accurate and repeatable growth curves of well-dispersed and bad-dispersed microbes, whether they grew in homogeneous simple culture broth or heterogeneous complex matrices. Moreover, it could automatically report key growth kinetics parameters. In comparison to optical density (OD), plate counting and broth microdilution (BMD) methods, we demonstrated its practicability in five scenarios: 1) the illustration of the growth, growth rate, and acceleration curves of Escherichia coli (E. coli); 2) the antimicrobial susceptibility testing (AST) of Oxacillin against Staphylococcus aureus (S. aureus); 3) the determination of Ag nanoparticle toxicity on Providencia rettgeri (P. rettgeri); 4) the characterization of milk fermentation; and 5) the enumeration of viable pathogenic Vibrio in shrimp body. Results highlighted that the HPMGA method had the advantages of universality and effectivity. This technology would significantly facilitate the routine analysis of microbial growth in many fields (biology, medicine, clinic, life, food, environment, and ecology), paving an avenue for microbiologists to achieve research goals that have been inhibited for years due to a lack of practical analytical methods.
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Affiliation(s)
- Xuzhi Zhang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Qianqian Yang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Liangyu Ma
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Dahai Zhang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China.
| | - Wentao Lin
- eDAQ Pty Ltd, 6 Doig Ave, Denistone East, NSW, 2112, Australia
| | - Nick Schlensky
- eDAQ Pty Ltd, 6 Doig Ave, Denistone East, NSW, 2112, Australia
| | - Hongrui Cheng
- College of Chemistry, Fuzhou University, Fuzhou, 350116, China
| | - Yuanhui Zheng
- College of Chemistry, Fuzhou University, Fuzhou, 350116, China.
| | - Xiliang Luo
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China
| | - Caifeng Ding
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China
| | - Yan Zhang
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Xiangyi Hou
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Feng Lu
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Hua Yan
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Ruoju Wang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, 266100, China
| | - Chen-Zhong Li
- Biosensors & Bioelectronics Center, Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong (Shenzhen), Shenzhen, 518172, China.
| | - Keming Qu
- Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.
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Wang Z, Li J, Yang Q, Sun X. Global Proteome-Wide Analysis of Cysteine S-Nitrosylation in Toxoplasma gondii. Molecules 2023; 28:7329. [PMID: 37959749 PMCID: PMC10649196 DOI: 10.3390/molecules28217329] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 09/07/2023] [Revised: 10/17/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Toxoplasma gondii transmits through various routes, rapidly proliferates during acute infection and causes toxoplasmosis, which is an important zoonotic disease in human and veterinary medicine. T. gondii can produce nitric oxide and derivatives, and S-nitrosylation contributes to their signaling transduction and post-translation regulation. To date, the S-nitrosylation proteome of T. gondii remains mystery. In this study, we reported the first S-nitrosylated proteome of T. gondii using mass spectrometry in combination with resin-assisted enrichment. We found that 637 proteins were S-nitrosylated, more than half of which were localized in the nucleus or cytoplasm. Motif analysis identified seven motifs. Of these motifs, five and two contained lysine and isoleucine, respectively. Gene Ontology enrichment revealed that S-nitrosylated proteins were primarily located in the inner membrane of mitochondria and other organelles. These S-nitrosylated proteins participated in diverse biological and metabolic processes, including organic acid binding, carboxylic acid binding ribose and phosphate biosynthesis. T. gondii S-nitrosylated proteins significantly contributed to glycolysis/gluconeogenesis and aminoacyl-tRNA biosynthesis. Moreover, 27 ribosomal proteins and 11 microneme proteins were identified as S-nitrosylated proteins, suggesting that proteins in the ribosome and microneme were predominantly S-nitrosylated. Protein-protein interaction analysis identified three subnetworks with high-relevancy ribosome, RNA transport and chaperonin complex components. These results imply that S-nitrosylated proteins of T. gondii are associated with protein translation in the ribosome, gene transcription, invasion and proliferation of T. gondii. Our research is the first to identify the S-nitrosylated proteomic profile of T. gondii and will provide direction to the ongoing investigation of the functions of S-nitrosylated proteins in T. gondii.
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Affiliation(s)
- Zexiang Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China; (J.L.); (X.S.)
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Ma YR, Yang Q, Li H, Song JZ, Zhou X, Xiang FG. [Cyclin A1 affects the invasion, metastasis, and prognosis of hepatocellular carcinoma]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:1043-1050. [PMID: 38016768 DOI: 10.3760/cma.j.cn501113-20230517-00224] [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] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Objective: To investigate the effect of cyclin A1 on the invasion, metastasis, and prognosis of hepatocellular carcinoma (HCC). Methods: Immunohistochemistry (IHC) was used to detect the expressional condition of cyclin A1 in HCC and paraffin-embedded non-tumor adjacent tissues. Kaplan-Meier method was used for the survival analysis of patients with HCC. Western blot (WB) was used to detect the expression of cyclin A1 in HCCLM3 and QGY-7703 cells. Scratch wound healing assay, transwell migration, and invasion assay were used to detect the effect of cyclin A1 overexpression on cell migration and invasion ability. WB was used to detect changes in the expression of matrix metalloproteinase (MMP) 2, MMP9, and vascular endothelial growth factor (VEGF) after overexpression of cyclin A1. Measurement data were compared using a t-test and analysis of variance. Count data was measured using χ (2) test and the Log-rank method was performed for survival analysis. Results: Cyclin A1 expression rates were higher in the tissues of HCC patients with recurrent metastasis than in the tissues of patients without recurrent metastasis (60.42% vs. 46.81%, χ (2) = 4.711, P < 0.05). The overall postoperative survival time (OS) and disease-free survival (DFS) were shorter in patients with high cyclin A1 expression than those with low cyclin A1 expression (45.9 months vs. 53.1 months; 42.9 months vs. 51.3 months, and P < 0.01). The postoperative OS and DFS were shorter in patients with high cyclin A1 expression and recurrent metastasis than those with low cyclin A1 expression without recurrent metastasis (31.7 months vs. 43.9 months; 18.0 months vs. 31.5 months, and P < 0.05). HCCLM3 and QGY-7703 cells were higher in the cyclin A1-pEX group than in the empty vector (vector) group (1.56 ± 0.06 vs. 0.18 ± 0.01, t = 18.75, P < 0.001; 1.31 ± 0.05 vs.0.37 ± 0.02, t = 15.17, P < 0.001). The migrated distances of HCCLM3 cells in the cyclin A1-pEX group and the vector group were (536.7 ± 14.5) μm and (327.3 ± 9.3) μm, t = 11.84, P < 0.05, respectively, while the migrated distances of QGY-7703 cells in the two groups were (916.7 ± 35.3) μm and (320.0 ± 20.8) μm, t = 13.54, P < 0.01. The migrated numbers of HCCLM3 cells in the cyclin A1-pEX group and vector group were (37.3 ± 2.4) and (7.0 ± 1.2), t = 12.67, P < 0.001, and the number of invasive cells was (73.7 ± 4.1) and (12.6 ± 1.5), t = 12.36, P < 0.001, respectively. The migrated numbers of QGY-7703 cells in the two groups were (153.3 ± 6.0) and (17.7 ± 3.7), t = 17.59, P < 0.001, and the number of invasive cells was (45.0 ± 2.9) and (9.3 ± 1.5), t = 10.66, P < 0.001, respectively. The expression levels of MMP2, MMP9, and VEGF in HCCLM3 and QGY-7703 cells were significantly higher in the cyclin A1-pEX group than those in the vector group (P < 0.05). Conclusion: Cyclin A1 plays an important role in HCC invasion and metastasis, but HCC patients with high cyclin A1 expression have a poor prognosis. Hence, cyclin A1 has high guiding significance for evaluating patient prognosis.
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Affiliation(s)
- Y R Ma
- Department of Pathology, School of Basic Medicine, Qingdao University, Qingdao 266021, China
| | - Q Yang
- Department of Pathology, School of Basic Medicine, Qingdao University, Qingdao 266021, China
| | - H Li
- Department of Pathology, the Affiliated Qingdao University Hospital, Qingdao 266003, China
| | - J Z Song
- Department of Pathology, the Affiliated Qingdao University Hospital, Qingdao 266003, China
| | - X Zhou
- Department of Pathology, the Affiliated Qingdao University Hospital, Qingdao 266003, China
| | - F G Xiang
- Department of Pathology, School of Basic Medicine, Qingdao University, Qingdao 266021, China Department of Pathology, the Affiliated Qingdao University Hospital, Qingdao 266003, China
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Li Z, Zhang Y, Yang Q, Wu J, Ren Z, Si F, Zhao J, Chen J. Hydrogen co-production via nickel-gold electrocatalysis of water and formaldehyde. iScience 2023; 26:107994. [PMID: 37822494 PMCID: PMC10562853 DOI: 10.1016/j.isci.2023.107994] [Citation(s) in RCA: 1] [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] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 07/06/2023] [Accepted: 09/18/2023] [Indexed: 10/13/2023] Open
Abstract
Hydrogen is one of the most promising future energy sources due to its highly efficient energy storage and carbon-free features. However, the energy input required for a hydrogen production protocol is an essential factor affecting its widespread adoption. Water electrolysis for hydrogen production currently serves a vital role in the industrial field, but the high overpotential of the oxygen evolution reaction (OER) dramatically impedes its practical application. The formaldehyde oxidation reaction (FOR) has emerged as a more thermodynamically favorable alternative, and the innovation of compatible electrodes may steer the direction of technological evolution. We have designed Au-Vo-NiO/CC as a catalyst that triggers the electrocatalytic oxidation of formaldehyde, efficiently producing H2 at the ultra-low potential of 0.47 V (vs. RHE) and maintaining long-term stability. Integrated with the cathodic hydrogen evolution reaction (HER), this bipolar H2 production protocol achieves a nearly 100% Faraday efficiency (FE).
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Affiliation(s)
- Zhixin Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China
| | - Yan Zhang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518055, China
| | - Qianqian Yang
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518055, China
| | - Jindong Wu
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518055, China
| | - Zhi Ren
- College of Pharmacy, Shenzhen Technology University, Shenzhen 518055, China
| | - Fengzhan Si
- Shenzhen Key Laboratory of Energy Electrocatalytic Materials, Shenzhen Key Laboratory of Polymer Science and Technology Guangdong Research Center for Interfacial Engineering of Functional Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China
| | - Jing Zhao
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China
| | - Jiean Chen
- Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen 518055, China
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Yang H, Yin H, Wang Y, Liu J, Guo L, Zhao H, Bai X, Li J, Yang Q. FAM134B-induced endoplasmic reticulum (ER)-phagy exacerbates cisplatin-insulted hair cell apoptosis :Possible relation to excessive ER stress. Arch Biochem Biophys 2023; 748:109766. [PMID: 37813237 DOI: 10.1016/j.abb.2023.109766] [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: 01/17/2023] [Revised: 09/14/2023] [Accepted: 09/22/2023] [Indexed: 10/11/2023]
Abstract
AIMS FAM134B, the initial endoplasmic reticulum (ER)-phagy receptor identified, facilitates ER-phagy during ER stress. The malfunction of FAM134B has been demonstrated to have a crucial role in the pathological mechanisms of diverse human ailments. However, the role of FAM134B-mediated ER-phagy in ototoxicity, particularly in cisplatin-induced ototoxicity, remains unclear. The present study endeavors to investigate whether FAM134B is expressed in House Ear Institute-Organ of Corti 1 (HEI-OC1) and C57BL/6 murine cochlear hair cells (HCs), and to explore its potential function in cisplatin-mediated ototoxicity, with the aim of discovering new insights that can mitigate or forestall the irreversible adverse effect of cisplatin. METHODS Immunofluorescence (IF) staining was used to test the expression pattern of FAM134B, levels of C/EBP-homologous protein (CHOP), autophagy, and co-localization ratio of lysosomes and ER. Western blotting was employed to measure changes in expression levels of FAM134B, LC3B, ER stress-related proteins, LAMP1 and apoptotic mediators. Cell apoptosis was examined using transferase dUTP nick end labeling (TUNEL) assay and flow cytometry. RESULTS In the present investigation, it was observed that FAM134B exhibited a diffuse expression pattern in the cytoplasm and nuclei of control HEI-OC1 cells. Following cisplatin administration, FAM134B was found to accumulate and form distinct dots around the nuclei, concomitant with increased levels of ER-phagy, ER stress, unfolded protein response (UPR), and cell apoptosis. Additionally, knockdown of FAM134B resulted in reduced ER-phagy, mitigated ER stress and UPR, and decreased apoptotic activity in HEI-OC1 cells following cisplatin exposure. CONCLUSIONS Collectively, the findings of this study demonstrate that FAM134B-mediated ER-phagy enhances the susceptibility of HCs to ER stress and apoptosis in response to cisplatin-induced stress. This suggests a sequential progression of ER-phagy, ER stress and apoptosis following cisplatin stimulus, and implies the potential therapeutic benefit of inhibiting of FAM134B-mediated ER-phagy in the prevention of cisplatin-related ototoxicity.
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Affiliation(s)
- Huiming Yang
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250012, China
| | - Haiyan Yin
- School of Basic Medical Science, Jining Medical University, Jining, Shandong, China
| | - Yue Wang
- Department of Otolaryngology Head and Neck Surgery, Ningbo First Hospital, Ningbo, Zhejiang, 315000, China
| | - Jisheng Liu
- Department of Otolaryngology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Lingchuan Guo
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215123, China
| | - Hao Zhao
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250012, China
| | - Xiaohui Bai
- Institute of Eye and ENT, Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Jianfeng Li
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250012, China; Institute of Eye and ENT, Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
| | - Qianqian Yang
- Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215123, China.
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Xi G, Pan Z, Fang YW, Tu J, Li H, Yang Q, Liu C, Luo H, Ding J, Xu S, Deng S, Wang Q, Zheng D, Long Y, Jin K, Zhang X, Tian J, Zhang L. Anion-induced robust ferroelectricity in sulfurized pseudo-rhombohedral epitaxial BiFeO 3 thin films via polarization rotation. Mater Horiz 2023; 10:4389-4397. [PMID: 37465904 DOI: 10.1039/d3mh00716b] [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: 07/20/2023]
Abstract
Polarization rotation caused by various strains, such as substrate and/or chemical strain, is essential to control the electronic structure and properties of ferroelectric materials. This study proposes anion-induced polarization rotation with chemical strain, which effectively improves ferroelectricity. A method for the sulfurization of BiFeO3 thin films by introducing sulfur anions is presented. The sulfurized films exhibited substantial enhancement in room-temperature ferroelectric polarization through polarization rotation and distortion, with a 170% increase in the remnant polarization from 58 to 100.7 μC cm-2. According to first-principles calculations and the results of X-ray absorption spectroscopy and high-angle annular dark-field scanning transmission electron microscopy, this enhancement arose from the introduction of S atoms driving the re-distribution of the lone-pair electrons of Bi, resulting in the rotation of the polarization state from the [001] direction to the [110] or [111] one. The presented method of anion-driven polarization rotation might enable the improvement of the properties of oxide materials.
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Affiliation(s)
- Guoqiang Xi
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Zhao Pan
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Yue-Wen Fang
- Centro de Física de Materiales (CSIC-UPV/EHU), Manuel de Lardizabal pasealekua 5, 20018 Donostia/San Sebastián, Spain.
- Fisika Aplikatua Saila, Gipuzkoako Ingeniaritza Eskola, University of the Basque Country (UPV/EHU), Europa Plaza 1, 20018 Donostia/San Sebastián, Spain
| | - Jie Tu
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Hangren Li
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Qianqian Yang
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Chen Liu
- Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Huajie Luo
- Beijing Advanced Innovation Center for Materials Genome Engineering, Department of Physical Chemistry, University of Science and Technology Beijing, Beijing 100083, China
| | - Jiaqi Ding
- Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Shuai Xu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Shiqing Deng
- Beijing Advanced Innovation Center for Materials Genome Engineering, Department of Physical Chemistry, University of Science and Technology Beijing, Beijing 100083, China
| | - Qingxiao Wang
- Corelab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Dongxing Zheng
- Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Youwen Long
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
| | - Kuijuan Jin
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China.
| | - Xixiang Zhang
- Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Jianjun Tian
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
| | - Linxing Zhang
- Institute for Advanced Materials Technology, University of Science and Technology Beijing, Beijing 100083, China.
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Huang D, Zheng P, Cheng Z, Yang Q, Kong Y, Ouyang Q, Lian H, Lin J. Metal Halide Single Crystals RbCdCl 3:Sn 2+ and Rb 3SnCl 7 with Blue and White Emission Obtained via a Hydrothermal Process. Inorg Chem 2023; 62:15943-15951. [PMID: 37721404 DOI: 10.1021/acs.inorgchem.3c02014] [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: 09/19/2023]
Abstract
Until now, effective blue light-emitting materials are essentially needed for the creation of white light and precise color renderings in real-world applications, but the efficiency of blue light-emitting materials has lagged far behind. Here, we present a hydrothermal method to synthesize tin-based metal halide single crystals (RbCdCl3:Sn2+ and Rb3SnCl7). Two single crystal materials with different shapes and phases can simultaneously be synthesized in the same stoichiometric ratio. Rb3SnCl7 has a bulk shape, while RbCdCl3:Sn2+ has a needle shape. The deep blue emission (436 nm) of RbCdCl3:Sn2+ can be obtained under the optimal excitation wavelength irradiation. However, pure blue emission (460 nm) to white light can be obtained by changing the excitation wavelength in Rb3SnCl7. The refinement spectra of the electronic structures of RbCdCl3:Sn2+ and Rb3SnCl7 are investigated by density functional theory. It is concluded that the difference in the distribution of Cl energy states leads to the existence of Cl local defect states, which is the reason for the rich luminescence of the two single crystals. These findings provide a path for realizing single-phase broadband white-emitting materials.
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Affiliation(s)
- Dayu Huang
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Pan Zheng
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Ziyong Cheng
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Qianqian Yang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Youchao Kong
- Institute of Applied Physics and Materials Engineering, University of Macau, Taipa, Macao, SAR 999078, P. R. China
| | - Qiuyun Ouyang
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
| | - Hongzhou Lian
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Jun Lin
- Key Laboratory of In-Fiber Integrated Optics, Ministry Education of China, and College of Physics and Opotoelectronic Engineering, Harbin Engineering University, Harbin 150001, China
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
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Huang XJ, Guo YP, Ji YC, Wu KF, Xu JF, Xu XJ, Yang Q, Zhou ZM. [Safety and efficacy analysis of endovascular thrombectomy in patients with large vascular occlusion with low Alberta Stroke Program Early Computed Tomography Score]. Zhonghua Nei Ke Za Zhi 2023; 62:1178-1186. [PMID: 37766436 DOI: 10.3760/cma.j.cn112138-20221219-00942] [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: 09/29/2023]
Abstract
Objective: To evaluate the safety and efficacy of endovascular thrombectomy (EVT) in acute anterior circulation large vessel occlusive stroke (ALVOS) and explore the related influencing factors for prognoses in patients with low Alberta Stroke Program Early Computed Tomography Score (ASPECT). Methods: Patients with acute ALVOS who underwent EVT in Yijishan Hospital of Wannan Medical College from January 2019 to June 2022 were sequentially enrolled. (1) Patients were divided into a low ASPECT group (0-5) and a non-low ASPECT group (6-10), and the differences between the two groups were compared with respect to incidence of perioperative complications and good prognosis rate [modified Rankin scale (mRS) score≤2] 90 days after onset. (2) According to the prognoses 90 days after onset, the low ASPECT group was divided into the good prognosis (mRS score≤2) and poor prognosis (mRS score>2) subgroup. Univariate analysis and multivariate logistic regression analysis were used to investigate the independent risk factors for prognoses of the low ASPECT patients after EVT. Results: A total of 582 patients [age 26-94(69±11) years, 345 male patients (59.3%)] were enrolled for analysis. The baseline ASPECT score was 8 (7, 10), and the baseline NIHSS score was 14 (11, 18). Among them, 102 (17.5%) patients were in the low ASPECT score group and 480 (82.5%) patients were in the non-low ASPECT score group. In the total cohort, patients in the low ASPECT score group had a higher incidence of symptomatic intracranial hemorrhage, lower 90-day good prognosis rate, and higher 90-day mortality rate. Further, propensity score matching statistical analysis showed that patients in the low ASPECT score group had a significantly higher incidence of malignant brain edema after EVT treatment (40.0% vs. 17.6%, χ2=9.13, P=0.003), and a significantly lower 90-day good prognosis rate (24.7% vs. 41.6%, χ2=4.96, P=0.026), but there was no significant difference in the incidence of symptomatic intracranial hemorrhage and 90-day mortality between the two groups (40.3% vs. 26.0%, χ2=3.55, P=0.060). Among 102 patients with low ASPECT score, 22 (21.6%) patients had good prognosis and 80 (78.4%) had poor prognosis. Multivariate logistic regression analysis showed that history of atrial fibrillation (OR=4.478, 95%CI 1.186-16.913, P=0.027) was an independent risk factor for poor prognosis of EVT in patients with low ASPECT score, while good collateral circulation (grade 2 vs. grade 0: OR=0.206, 95%CI 0.051-0.842, P=0.028) was a protective factor for good prognosis of EVT in patients with low ASPECT score. Conclusions: Although the 90-day good prognosis rate of EVT treatment for patients with low ASPECT score was lower than that of the non-low ASPECT group, 21.6% patients still benefitted from EVT treatment, especially patients with non-atrial fibrillation and good collateral circulation. Future studies involving more patients are needed to validate our observations.
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Affiliation(s)
- X J Huang
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - Y P Guo
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - Y C Ji
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - K F Wu
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - J F Xu
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - X J Xu
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - Q Yang
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
| | - Z M Zhou
- Department of Neurology, Yijishan Hospital of Wannan Medical College, Wuhu 241001, China
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Cai M, Zhao L, Zhang Y, Wu W, Jia L, Zhao J, Yang Q, Qiang Y. A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction. Int J Comput Assist Radiol Surg 2023; 18:1857-1865. [PMID: 36943546 DOI: 10.1007/s11548-023-02844-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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 01/19/2023] [Indexed: 03/23/2023]
Abstract
PURPOSE Identifying the stage of lung cancer accurately from histopathology images and gene is very important for the diagnosis and treatment of lung cancer. Despite the substantial progress achieved by existing methods, it remains challenging due to large intra-class variances, and a high degree of inter-class similarities. METHODS In this paper, we propose a phased Multimodal Multi-scale Attention Model (MMAM) that predicts lung cancer stages using histopathology image data and gene data. The model consists of two phases. In Phase1, we propose a Staining Difference Elimination Network (SDEN) to eliminate staining differences between different histopathology images, In Phase2, it utilizes the image feature extractor provided by Phase1 to extract image features, and sends the multi-scale image features together with gene features into our Adaptive Enhanced Attention Fusion (AEAF) module for multimodal multi-scale features fusion to enable prediction of lung cancer staging. RESULTS We evaluated the proposed MMAM on the TCGA lung cancer dataset, and achieved 88.51% AUC and 88.17% accuracy on classification prediction of lung cancer stages I, II, III, and IV. CONCLUSION The method can help doctors diagnose the stage of lung cancer patients and can benefit from multimodal data.
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Affiliation(s)
- Meiling Cai
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Lin Zhao
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Yanan Zhang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Wei Wu
- Department of Clinical Laboratory, Shanxi Provincial People's Hospital, Xi'an, China
| | - Liye Jia
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Juanjuan Zhao
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Qianqian Yang
- College of Information, Jinzhong College of Information, Jinzhong, China
| | - Yan Qiang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
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Wang Y, Liu X, Xue T, Chen Y, Yang Q, Tang Z, Chen L, Zhang L. Body mass index and risk of all-cause mortality among elderly Chinese: An empirical cohort study based on CLHLS data. Prev Med Rep 2023; 35:102308. [PMID: 37455755 PMCID: PMC10339046 DOI: 10.1016/j.pmedr.2023.102308] [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: 02/15/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023] Open
Abstract
The aim of our study was to evaluate the relationship between body mass index (BMI) and all-cause mortality among elderly Chinese. The subjects of our study were a cohort of 13 319 elderly Chinese enrolled between 2008 and 2018. Participants were classified in three groups: underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight and obese (≥25 kg/m2) according to different BMI levels. Cox proportional-hazards regression model was used to analyze the association between BMI grouping and the risk of mortality among the three groups and each corresponding subgroup. The restricted cubic spline regression was performed to investigate the variation tendency of BMI and mortality in different groups and subgroups. We found that the hazard ratios (HRs) of mortality in the underweight and the normal-weight groups were 1.213 and 1.104, respectively, compared with those in the overweight and obesity groups. HR for mortality decreased as BMI increased, although this phenomenon was not observed as not a linear relationship in all participants. Nonetheless, this nonlinear relationship was significant in type 2 diabetes patients. Among subjects with non-type 2 diabetes, the shape of the negative curve, reflecting the HR for BMI and mortality, decreased when BMI increased. Our findings suggest that an obesity paradox exists in non-type 2 diabetes patients, in which BMI has a nonlinear negative relationship with mortality. Conversely, in type 2 diabetes patients there is a U-shaped association. Obesity may thus be protective for all-cause mortality among non-diabetic older populations.
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Affiliation(s)
- Yun Wang
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Xuekui Liu
- Department of Central Laboratory, Xuzhou Central Hospital, Xuzhou, Jiangsu, China
| | - Tongneng Xue
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Yu Chen
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Qianqian Yang
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Zhengwen Tang
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Lianhua Chen
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
| | - Liqin Zhang
- The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China
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50
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Sun G, Ye H, Yang Q, Zhu J, Qiu C, Shi J, Dai L, Wang K, Zhang J, Wang P. Using Proteome Microarray and Gene Expression Omnibus Database to Screen Tumour-Associated Antigens to Construct the Optimal Diagnostic Model of Oesophageal Squamous Cell Carcinoma. Clin Oncol (R Coll Radiol) 2023; 35:e582-e592. [PMID: 37433700 DOI: 10.1016/j.clon.2023.06.014] [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: 11/21/2022] [Revised: 05/09/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023]
Abstract
AIMS Autoantibodies against tumour-associated antigens (TAAs) are promising biomarkers for early immunodiagnosis of cancers. This study was designed to screen and verify autoantibodies against TAAs in sera as diagnostic biomarkers for oesophageal squamous cell carcinoma (ESCC). MATERIALS AND METHODS The customised proteome microarray based on cancer driver genes and the Gene Expression Omnibus database were used to identify potential TAAs. The expression levels of the corresponding autoantibodies in serum samples obtained from 243 ESCC patients and 243 healthy controls were investigated by enzyme-linked immunosorbent assay (ELISA). In total, 486 serum samples were randomly divided into the training set and the validation set in the ratio of 2:1. Logistic regression analysis, recursive partition analysis and support vector machine were performed to establish different diagnostic models. RESULTS Five and nine candidate TAAs were screened out by proteome microarray and bioinformatics analysis, respectively. Among these 14 anti-TAAs autoantibodies, the expression level of nine (p53, PTEN, GNA11, SRSF2, CXCL8, MMP1, MSH6, LAMC2 and SLC2A1) anti-TAAs autoantibodies in the cancer patient group was higher than that in the healthy control group based on the results from ELISA. In the three constructed models, a logistic regression model including four anti-TAA autoantibodies (p53, SLC2A1, GNA11 and MMP1) was considered to be the optimal diagnosis model. The sensitivity and specificity of the model in the training set and the validation set were 70.4%, 72.8% and 67.9%, 67.9%, respectively. The area under the receiver operating characteristic curve for detecting early patients in the training set and the validation set were 0.84 and 0.85, respectively. CONCLUSIONS This approach to screen novel TAAs is feasible, and the model including four autoantibodies could pave the way for the diagnosis of ESCC.
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Affiliation(s)
- G Sun
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - H Ye
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - Q Yang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Zhu
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - C Qiu
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Shi
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - L Dai
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - K Wang
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - J Zhang
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan Province, China
| | - P Wang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan Province, China; Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan Province, China.
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