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Praharaj M, Shen F, Lee AJ, Zhao L, Nirschl TR, Theodros D, Singh AK, Wang X, Adusei KM, Lombardo KA, Williams RA, Sena LA, Thompson EA, Tam A, Yegnasubramanian S, Pearce EJ, Leone RD, Alt J, Rais R, Slusher BS, Pardoll DM, Powell JD, Zarif JC. Metabolic reprogramming of tumor-associated macrophages using glutamine antagonist JHU083 drives tumor immunity in myeloid-rich prostate and bladder cancer tumors. Cancer Immunol Res 2024:745149. [PMID: 38701369 DOI: 10.1158/2326-6066.cir-23-1105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 04/10/2024] [Accepted: 04/30/2024] [Indexed: 05/05/2024]
Abstract
Glutamine metabolism in tumor microenvironments critically regulates anti-tumor immunity. Using glutamine-antagonist prodrug JHU083, we report potent tumor growth inhibition in urologic tumors by JHU083-reprogrammed tumor-associated macrophages (TAMs) and tumor-infiltrating monocytes (TIMs). We show JHU083-mediated glutamine antagonism in tumor microenvironments induces TNF, pro-inflammatory, and mTORC1 signaling in intratumoral TAM clusters. JHU083-reprogrammed TAMs also exhibit increased tumor cell phagocytosis and diminished pro-angiogenic capacities. In vivo inhibition of TAM glutamine consumption resulted in increased glycolysis, a broken TCA cycle, and purine metabolism disruption. Although the anti-tumor effect of glutamine antagonism on tumor-infiltrating T cells was moderate, JHU083 promoted a stem cell-like phenotype in CD8+ T cells and decreased Treg abundance. Finally, JHU083 caused a ubiquitous shutdown in glutamine utilizing metabolic pathways in tumor cells, leading to reduced HIF-1alpha, c-MYC phosphorylation, and induction of tumor cell apoptosis, all key anti-tumor features.
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Affiliation(s)
- Monali Praharaj
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Fan Shen
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Alex J Lee
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Liang Zhao
- Complete Omics (United States), Baltimore, MD, United States
| | - Thomas R Nirschl
- Johns Hopkins University School of Medicine, Balitmore, MD, United States
| | - Debebe Theodros
- Johns Hopkins University School of Medicine, Baltimore, United States
| | - Alok K Singh
- Johns Hopkins University School of Medicine, Baltimore, United States
| | | | - Kenneth M Adusei
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Raekwon A Williams
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Laura A Sena
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Ada Tam
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Edward J Pearce
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Jesse Alt
- Johns Hopkins University, Baltimore, Maryland, United States
| | - Rana Rais
- Johns Hopkins School of Medicine, Baltimore, MD, United States
| | | | - Drew M Pardoll
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Jelani C Zarif
- Johns Hopkins University School of Medicine, Baltimore, United States
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Kong H, Zhao C, Han H, Liu H, Zou P, Fu Y, Lang K, Shen F, Liu X, Xu J, Yao J. Anti-Solvent-Free Fabrication of Stable FA 0.9Cs 0.1PbI 3 Perovskite Solar Cells with Efficiency Exceeding 24.0% through a Naphthalene-Based Passivator. Small 2024:e2401669. [PMID: 38573947 DOI: 10.1002/smll.202401669] [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: 03/03/2024] [Revised: 03/25/2024] [Indexed: 04/06/2024]
Abstract
The anti-solvent-free fabrication of high-efficiency perovskite solar cells (PSCs) holds immense significance for the transition from laboratory-scale to large-scale commercial applications. However, the device performance is severely hindered by the increased occurrence of surface defects resulting from the lack of control over nucleation and crystallization of perovskite using anti-solvent methods. In this study, 2-(naphthalen-2-yl)ethylamine hydriodide (NEAI) is employed as the surface passivator for perovskite films without using any anti-solvent. Naphthalene demonstrates strong π-π conjugation, which aids in the efficient extraction of charge carriers. Additionally, the naphthalene-ring moieties form a tight attachment to the perovskite surface. After NEAI treatment, FA and I vacancies are selectively occupied by NEA+ and I- in NEAI respectively, thus effectively passivating the surface defects and isolating the surface from moisture. Ultimately, the optimized NEAI-treated device achieves a promising power conversion efficiency (PCE) of 24.19% (with a certified efficiency of 23.94%), featuring a high fill factor of 83.53%. It stands out as one of the reported high PCEs achieved for PSCs using the spin-coating technique without the need for any anti-solvent so far. Furthermore, the NEAI-treated device can maintain ≈87% of its initial PCE after 2000 h in ambient air with a relative humidity of 30% ± 5%.
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Affiliation(s)
- Hao Kong
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
| | - Chenxu Zhao
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
| | - Huifang Han
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
| | - Huijing Liu
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
| | - Pengchen Zou
- Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Yao Fu
- Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Kun Lang
- Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Fan Shen
- Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Xuewei Liu
- Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Jia Xu
- New Energy Generation National Engineering Research Center, Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
| | - Jianxi Yao
- State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, New Energy Generation National Engineering Research Center, Beijing Key Laboratory of Energy Safety and Clean Utilization, North China Electric Power University, Beijing, 102206, China
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Heleniak C, Goff B, Gabard-Durnam LJ, Telzer EH, Humphreys KL, Lumian DS, Flannery JE, Caldera C, Shapiro M, Louie JY, Shen F, Vannucci A, Jain M, Glatt CE, Tottenham N. Telomere Erosion and Depressive Symptoms Across Development Following Institutional Care. J Am Acad Child Adolesc Psychiatry 2024; 63:365-375. [PMID: 37419142 DOI: 10.1016/j.jaac.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/08/2023] [Accepted: 06/15/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVE A large literature has identified exposure to early caregiving adversities as a potent risk for developing affective psychopathology, with depression, in particular, increasing across childhood into adolescence. Evidence suggests telomere erosion, a marker of biological aging, may underlie associations between adverse early-life experiences and later depressive behavior; yet, little is understood about this association during development. METHOD The current accelerated longitudinal study examined concurrent telomere length and depressive symptoms concurrently, 2 and 4 years later, from the preschool period through adolescence among children exposed (n =116) and not exposed (n = 242) to early previous institutional (PI) care. RESULTS PI care was associated with shorter telomeres on average and with quadratic age-related growth in depressive symptoms, indicating a steeper association between PI care and depressive symptoms in younger age groups that leveled off in adolescence. Contrary to studies in adult samples, telomere length was not associated with depressive symptoms, and it did not predict future symptoms. CONCLUSION These findings indicate that early caregiving disruptions increase the risk for both accelerated biological aging and depressive symptoms, although these variables did not correlate with each other during this age range.
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Affiliation(s)
| | - Bonnie Goff
- University of California Los Angeles, Los Angeles, California
| | | | - Eva H Telzer
- University of North Carolina Chapel Hill, North Carolina
| | | | | | | | | | - Mor Shapiro
- University of California Los Angeles, Los Angeles, California
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Huang Z, Shen F, Chen J, Xie B, Chen X, Zhao Y, Chen S. LncRNA linc01194 promotes the progress of endometrial carcinoma by up-regulating SOX2 through binding to IGF2BP1. J Gynecol Oncol 2024; 35:e21. [PMID: 38072399 PMCID: PMC10948988 DOI: 10.3802/jgo.2024.35.e21] [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: 12/20/2022] [Revised: 08/14/2023] [Accepted: 10/26/2023] [Indexed: 03/20/2024] Open
Abstract
OBJECTIVE Endometrial carcinoma (EC) is one of the most common gynecological malignant tumors. Our study showed that long non-coding RNA (lncRNA) linc01194 plays an important role in EC. We explored the mechanism of lncRNA linc01194 in EC. METHODS The expression of lncRNA linc01194 was detected in The Cancer Genome Atlas database and starBase database. The potential targeted protein of linc01194 was predicted through the starBase database. To determine the role of linc01194 in EC, we downregulated or upregulated the level of linc01194 in EC cell lines and analyzed the cell behaviors and the changes of its potential target proteins. RESULTS The expression of linc01194 in EC tissues is higher than that in normal endometrial tissues. The knockdown of linc01194 inhibited the cell proliferation, invasion and migration and promoted the apoptosis of EC cells, while overexpression of linc01194 promoted cell proliferation, invasion and migration and inhibited the apoptosis of EC cells. The starBase database revealed that linc01194 could bind to insulin-like growth factor 2 binding protein 1 (IGF2BP1). Previous results showed that in EC, IGF2BP1 could promote the expression of sex-determining region Y-box 2 (SOX2) by promoting the stability of SOX2 mRNA. Our results showed that linc01194 regulate the expression of IGF2BP1 and SOX2. CONCLUSION Linc01194 can promote the expression of downstream protein SOX2 through binding to IGF2BP1, thus promoting the occurrence and development of EC.
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Affiliation(s)
- Zhenghao Huang
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fan Shen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jingwen Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bumin Xie
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xi Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yang Zhao
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Shuo Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangzhou Key Laboratory of Targeted Therapy for Gynecologic Oncology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Shen F, Liang C, Yang CX, Lu Y, Li AQ, Duan Y, Zhang M, Tian RR, Dong XQ, Zheng YT, Pang W. SARS-CoV-2 breakthrough infections following inactivated vaccine vaccination induce few neutralizing antibodies against the currently emerging Omicron XBB variants. Virol Sin 2024; 39:173-176. [PMID: 38000528 PMCID: PMC10877414 DOI: 10.1016/j.virs.2023.11.007] [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: 08/02/2023] [Accepted: 11/22/2023] [Indexed: 11/26/2023] Open
Abstract
•Inactivated vaccine breakthrough infection with ancestral variants induced nearly undetectable nAbs against XBB variants. •Inactivated vaccine breakthrough infection with Omicron BA.1 or BA.5 evoked very weak nAbs against XBB variants. •BA.5 infection induced higher nAbs against XBB variants than BA.1 infection.
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Affiliation(s)
- Fan Shen
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chun Liang
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Cui-Xian Yang
- Yunnan Provincial Infectious Disease Hospital, Kunming, 650399, China
| | - Ying Lu
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - An-Qi Li
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ying Duan
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Mi Zhang
- Yunnan Provincial Infectious Disease Hospital, Kunming, 650399, China
| | - Ren-Rong Tian
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Xing-Qi Dong
- Yunnan Provincial Infectious Disease Hospital, Kunming, 650399, China
| | - Yong-Tang Zheng
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Wei Pang
- Key Laboratory of Bioactive Peptides of Yunnan Province/Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Department of Pathogen Biology and Immunology, Faculty of Basic Medical Science, Kunming Medical University, Kunming, 650500, China.
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Cheng J, Li Z, Liu Y, Li C, Huang X, Tian Y, Shen F. [Bioinformatics analysis and validation of the interaction between PML protein and TAB1 protein]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:179-186. [PMID: 38293990 PMCID: PMC10878890 DOI: 10.12122/j.issn.1673-4254.2024.01.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Indexed: 02/01/2024]
Abstract
OBJECTIVE To analyze the interaction between PML protein and TAB1 protein using bioinformatic approaches and experimentally verify the results. METHODS Using Rosetta software, a 3D model of TAB1 protein was constructed through a comparative modeling approach; the secondary structure of PML protein was retrieved in the PDB database and its crystal structure and 3D structure were resolved. Zdock 3.0.2 software was used to perform protein-protein docking of PML and TAB1, and the best conformation was extracted for molecular structure analysis of the docking model. The interaction between the two proteins was detected using immunoprecipitation in α-MMC-treated M1 inflammatory macrophages. RESULTS When 6IMQ of PML was used as the docking site, PML protein formed 3 salt bridges, 6 hydrogen bonds and 6 hydrophobic interactions with TAB1 proteins; when 5YUF of PML was used as the docking site, PML protein formed 1 hydrogen bond, 3 electrostatic interactions and 9 hydrophobic interactions with TAB1 proteins, and both of the docking modes formed good molecular docking and interactions. In the M1 inflammatory macrophages treated with α-MMC for 4 h, positive protein bands of PML and TAB1 were detected in the cell lysates in PML-IP group. CONCLUSION PML protein can interact strongly with TAB1 protein.
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Affiliation(s)
- J Cheng
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
| | - Z Li
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
| | - Y Liu
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
| | - C Li
- School of Pharmacy, Chengdu Medical College, Chengdu 610500, China
| | - X Huang
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
| | - Y Tian
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
| | - F Shen
- School of Laboratory Medicine, Chengdu Medical College, Chengdu 610500, China
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Li YY, Li SJ, Liu MC, Chen Z, Li L, Shen F, Liu QZ, Xu B, Lian ZX. B cells and tertiary lymphoid structures are associated with survival in papillary thyroid cancer. J Endocrinol Invest 2023; 46:2247-2256. [PMID: 37004696 DOI: 10.1007/s40618-023-02072-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 03/14/2023] [Indexed: 04/04/2023]
Abstract
PURPOSE The function of B cells in papillary thyroid cancer (PTC) is controversial. The role of B-cell-related tertiary lymphoid structures (TLSs) is still unclear. Whether B cells exert their anti-tumor effect through forming TLS in PTC needs further investigation. METHODS We detected the percentage of B cells in PTC tissues by multi-parameter flow cytometry. Paraffin-embedded tumor tissues of 125 PTC patients were collected and stained with Haematoxylin-Eosin (H&E) for inflammatory infiltration analysis in combination with clinical features. Multiplexed immunohistochemistry (mIHC) was performed to verify the TLSs in above inflammatory infiltration. Correlation of B cells and TLSs with prognosis was analyzed using the TCGA database. RESULTS We observed that PTC patients with higher expression of B lineage cell genes had improved survival and the percentage of B cells in the PTC tumor tissues was variable. Moreover, PTC tumor tissues with more B cells were surrounded by immune cell aggregates of varying sizes. We furtherly confirmed the immune cell aggregates as TLSs with different maturation stages. By analyzing PTC data from TCGA database, we found the maturation stages of TLSs were associated with genders and clinical stages among PTC patients. Moreover, patients with high TLSs survived longer and had a better prognosis. CONCLUSION B cells are associated with the existence of TLSs which have different maturation stages in PTC. Both B cells and TLSs are associated with the survival rate of PTC. These observations indicate that the anti-tumor effects of B cells in PTC are associated with TLSs formation.
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Affiliation(s)
- Y-Y Li
- Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - S-J Li
- Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - M-C Liu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, China
| | - Z Chen
- Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - L Li
- Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - F Shen
- Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Q-Z Liu
- Chronic Disease Laboratory, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
| | - B Xu
- Department of Thyroid Surgery, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China.
| | - Z-X Lian
- Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
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8
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Shi L, Lang H, Shen J, Shen F, Song J, Zhang L, Fang H, Yu Y. Absorption, metabolism and distribution of carbosulfan in maize plants (Zea mays L.). Pest Manag Sci 2023; 79:3926-3933. [PMID: 37245216 DOI: 10.1002/ps.7586] [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] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 04/02/2023] [Accepted: 05/28/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND The insecticide carbosulfan is usually applied as a soil treatment or seed-coating agent, and so may be absorbed by crops and pose dietary risks. Understanding the uptake, metabolism and translocation of carbosulfan in crops is conducive to its safe application. In this study, we investigated the distribution of carbosulfan and its toxic metabolites in maize plants at both the tissue and subcellular levels, and explored the uptake and translocation mechanism of carbosulfan. RESULTS Carbosulfan was mainly taken up by maize roots via the apoplast pathway, was preferentially distributed in cell walls (51.2%-57.0%) and most (85.0%) accumulated in roots with only weak upward translocation. Carbofuran, the main metabolite of carbosulfan in maize plants, was primarily stored in roots. However, carbofuran could be upwardly translocated to shoots and leaves because of its greater distribution in root-soluble components (24.4%-28.5%) compared with carbosulfan (9.7%-14.5%). This resulted from its greater solubility compared with its parent compound. The metabolite 3-hydroxycarbofuran was found in shoots and leaves. CONCLUSION Carbosulfan could be passively absorbed by maize roots, mainly via the apoplastic pathway, and transformed into carbofuran and 3-hydroxycarbofuran. Although carbosulfan mostly accumulated in roots, its toxic metabolites carbofuran and 3-hydroxycarbofuran could be detected in shoots and leaves. This implies that there is a risk in the use of carbosulfan as a soil treatment or seed coating. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Lihong Shi
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Hongbin Lang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Jiatao Shen
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Fan Shen
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Jialu Song
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Luqing Zhang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Hua Fang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou, China
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Zheng K, Jin L, Shen F, Gao XH, Zhu XM, Yu GY, Hao LQ, Lou Z, Wang H, Yu ED, Bai CG, Zhang W. [The impact of extended waiting time on tumor regression after neoadjuvant chemoradiotherapy for locally advanced rectal cancer]. Zhonghua Wai Ke Za Zhi 2023; 61:775-781. [PMID: 37491170 DOI: 10.3760/cma.j.cn112139-20230404-00139] [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: 07/27/2023]
Abstract
Objective: To investigate the influence of extending the waiting time on tumor regression after neoadjuvant chemoradiology (nCRT) in patients with locally advanced rectal cancer (LARC). Methods: Clinicopathological data from 728 LARC patients who completed nCRT treatment at the First Affiliated Hospital, Naval Medical University from January 2012 to December 2021 were collected for retrospective analysis. The primary research endpoint was the sustained complete response (SCR). There were 498 males and 230 females, with an age (M(IQR)) of 58 (15) years (range: 22 to 89 years). Logistic regression models were used to explore whether waiting time was an independent factor affecting SCR. Curve fitting was used to represent the relationship between the cumulative occurrence rate of SCR and the waiting time. The patients were divided into a conventional waiting time group (4 to <12 weeks, n=581) and an extended waiting time group (12 to<20 weeks, n=147). Comparisons regarding tumor regression, organ preservation, and surgical conditions between the two groups were made using the t test, Wilcoxon rank sum test, or χ2 test as appropriate. The Log-rank test was used to elucidate the survival discrepancies between the two groups. Results: The SCR rate of all patients was 21.6% (157/728). The waiting time was an independent influencing factor for SCR, with each additional day corresponding to an OR value of 1.010 (95%CI: 1.001 to 1.020, P=0.031). The cumulative rate of SCR occurrence gradually increased with the extension of waiting time, with the fastest increase between the 10th week. The SCR rate in the extended waiting time group was higher (27.9%(41/147) vs. 20.0%(116/581), χ2=3.901, P=0.048), and the organ preservation rate during the follow-up period was higher (21.1%(31/147) vs. 10.7%(62/581), χ2=10.510, P=0.001). The 3-year local recurrence/regrowth-free survival rates were 94.0% and 91.1%, the 3-year disease-free survival rates were 76.6% and 75.4%, and the 3-year overall survival rates were 95.6% and 92.2% for the conventional and extended waiting time groups, respectively, with no statistical differences in local recurrence/regrowth-free survival, disease-free survival and overall survival between the two groups (χ2=1.878, P=0.171; χ2=0.078, P=0.780; χ2=1.265, P=0.261). Conclusions: An extended waiting time is conducive to tumor regression, and extending the waiting time to 12 to <20 weeks after nCRT can improve the SCR rate and organ preservation rate, without increasing the difficulty of surgery or altering the oncological outcomes of patients.
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Affiliation(s)
- K Zheng
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - L Jin
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - F Shen
- Department of Radiology, the First Affiliated Hospital, Naval Medical University, Shanghai 200433, China
| | - X H Gao
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - X M Zhu
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - G Y Yu
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - L Q Hao
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - Z Lou
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - H Wang
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - E D Yu
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
| | - C G Bai
- Department of Pathology, the First Affiliated Hospital, Naval Medical University, Shanghai 200433, China
| | - W Zhang
- Department of Colorectal Surgery, the First Affiliated Hospital, Naval Medical University, Hereditary Colorectal Cancer Center and Genetic Block Center of Familial Cancer, Changhai Hospital, Shanghai 200433, China
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Yang J, Shen F, Huyan MH, Wang LJ, Shen HJ, Xing PF, Hua WL, Zhang L, Li ZF, Yang PF, Zhang YW, Liu JM. [Influencing factors of futile recanalization after endovascular therapy in acute ischemic stroke patients with large vessel occlusions]. Zhonghua Yi Xue Za Zhi 2023; 103:2218-2224. [PMID: 37544757 DOI: 10.3760/cma.j.cn112137-20230218-00231] [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] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Objective: To analyze the influencing factors of futile recanalization after endovascular therapy (EVT) in acute ischemic stroke patients with large vessel occlusions (AIS-LVO). Methods: AIS-LVO patients who underwent EVT with successful recanalization between January 2019 and December 2021 in Neurovascular Center of Changhai Hospital of Naval Medical University were retrospectively selected. Modified Rankin scale (mRS) score 3 months after EVT was used as the prognostic evaluation index, and patients with mRS scores≤2 were classified as the meaningful recanalization group and mRS scores 3-6 as the futile recanalization group. The risk factors, National Institutes of Health stroke scale (NIHSS) score, Glasgow coma scale (GCS) score, Alberta Stroke Program Early CT (ASPECT) score, core infarct volume, etc. in both groups were analyzed, and the influencing factors of futile recanalization after EVT were analyzed by multivariate logistic regression. Continuous variables that do not conform to the normal distribution are represented by [M(Q1,Q3)]. Results: A total of 368 patients meeting the inclusion criteria were collected, including 228 males and 140 females, and aged 68 (61, 77) years. There are 196 patients and 172 patients in the meaningful recanalization and futile recanalization groups, respectively, with the rate of futile recanalization 3 months after EVT of 46.74% (172/368). Comparing the general information and risk factors between the two groups found that the age of patients in the futile recanalization group [71 (65, 79) years] was higher than that in the meaningful recanalization group [65 (59, 72) years]. The baseline NIHSS score [18 (14, 22)] and the rate of not achieving modified Thrombolysis in Cerebral Ischemia grade 3 (mTICI 3) reperfusion (36.1%) were higher in the futile recanalization group than those in the meaningful recanalization group [12 (7, 17) and 19.9%]. The baseline GCS score [11 (9, 13)] was lower in the futile recanalization group than that in the meaningful recanalization group [14 (11, 15)]. The core infarct volume in the futile recanalization group [28 (7, 65) ml] was larger than that in the meaningful recanalization group [6 (0, 17) ml]. The ASPECT score [7 (5, 9)] was lower in the futile recanalization group than that in the meaningful recanalization group [9 (7, 10)]. In addition, the proportion of hypertension, atrial fibrillation, general anesthesia, and symptomatic intracranial hemorrhage was higher in the futile recanalization group (all P<0.05). The time from symptom onset to puncture and from symptom onset to reperfusion was longer in the futile recanalization group (both P<0.05). There were statistically significant differences in trial of Org 10172 in acute stroke treatment (TOAST) classification and the site of occluded blood vessels between the two groups (both P<0.05). Multivariate logistic regression indicated that age ≥80 years(OR=1.935,95%CI: 1.168-3.205), baseline NIHSS score (OR=1.999,95%CI: 1.202-3.325), GCS score (OR=2.299,95%CI: 1.386-3.814), previous stroke history (OR=1.977,95%CI: 1.085-3.604), general anesthesia (OR=1.981,95%CI: 1.143-3.435), not achieving grade 3 recanalization (OR=2.846, 95%CI: 1.575-5.143), ASPECT score<6 (OR=2.616, 95%CI: 1.168-5.857), and core infarct volume>70 ml (OR=2.712, 95%CI: 1.130-6.505) were risk factors for futile recanalization. Conclusion: Age≥80 years, previous stroke history, baseline NIHSS score≥20, GCS score≤8, general anesthesia, ASPECT score<6, core infarct volume>70 ml, and failure to achieve Grade 3 recanalization are independent influencing factors for futile recanalization after endovascular therapy in AIS-LVO patients.
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Affiliation(s)
- J Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - F Shen
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - M H Huyan
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - L J Wang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - H J Shen
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - P F Xing
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - W L Hua
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - L Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Z F Li
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - P F Yang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Y W Zhang
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - J M Liu
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai 200433, China
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Shen F, Sergi CM. LipidR - a Commentary on a Lipidomics Software Platform Useful for Potential Liquid Biopsies Data Analysis. Ann Clin Lab Sci 2023; 53:503-506. [PMID: 37625830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/27/2023]
Abstract
LipidR is a recent software platform that uses R. This commentary briefly reviews the data published in the literature using this new tool for data mining and analyzing lipidomics datasets. This software is maintained by the R Foundation specifically for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. LipidR is a novel open-source R package with enormous functionalities. LipidR filled three significant gaps in lipidomics. First, LipidR has the potential to mine public lipidomics datasets more efficiently and effectively. Second, the deconstructing function of the lipid name is unique to LipidR. Third, the adjustment for confounding factors, which is required for complex clinical lipidomic profiles, is implemented in LipidR. We expect LipidR will be crucial in analyzing lipidomic profiles of liquid biopsies in the near future.
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Affiliation(s)
- Fan Shen
- Department of Laboratory Medicine, University of Alberta, Edmonton, AB, Canada
| | - Consolato M Sergi
- Department of Laboratory Medicine, University of Alberta, Edmonton, AB, Canada
- Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada
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12
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Lu Y, Shen F, He W, Li A, Li M, Feng X, Zheng Y, Pang W. HR121 targeting HR2 domain in S2 subunit of spike protein can serve as a broad-spectrum SARS-CoV-2 inhibitor via intranasal administration. Acta Pharm Sin B 2023:S2211-3835(23)00192-2. [PMID: 37360013 PMCID: PMC10219671 DOI: 10.1016/j.apsb.2023.05.030] [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: 01/15/2023] [Revised: 05/14/2023] [Accepted: 05/18/2023] [Indexed: 06/28/2023] Open
Abstract
The continuously emerging SARS-CoV-2 variants pose a great challenge to the efficacy of current drugs, this necessitates the development of broad-spectrum antiviral drugs. In the previous study, we designed a recombinant protein, heptad repeat (HR) 121, as a variant-proof vaccine. Here, we found it can act as a fusion inhibitor and demonstrated broadly neutralizing activities against SARS-CoV-2 and its main variants. Structure analysis suggested that HR121 targets the HR2 domain in SARS-CoV-2 spike (S) 2 subunit to block virus-cell fusion. Functional experiments demonstrated that HR121 can bind HR2 at serological-pH and endosomal-pH, highlighting its inhibition capacity when SARS-CoV-2 enters via either cellular membrane fusion or endosomal route. Importantly, HR121 can effectively inhibit SARS-CoV-2 and Omicron variant pseudoviruses entering the cells, as well as block authentic SARS-CoV-2 and Omicron BA.2 replications in human pulmonary alveolar epithelial cells. After intranasal administration to Syrian golden hamsters, it can protect hamsters from SARS-CoV-2 and Omicron BA.2 infection. Together, our results suggest that HR121 is a potent drug candidate with broadly neutralizing activities against SARS-CoV-2 and its variants.
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Affiliation(s)
- Ying Lu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fan Shen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenqiang He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Anqi Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Minghua Li
- Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Xiaoli Feng
- Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
| | - Yongtang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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13
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Xiao ZJ, Ren J, Han Y, Shen F, Zheng JM, Qin WJ, Huan Y. [The anatomic zone localization based on biparametric MRI for the prediction of the risk degree of prostate cancer]. Zhonghua Yi Xue Za Zhi 2023; 103:1455-1460. [PMID: 37198107 DOI: 10.3760/cma.j.cn112137-20221219-02677] [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] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Objective: To investigate the anatomic zone localization based on biparametric magnetic resonance imaging (bpMRI) for the prediction of the risk degree in patients with prostate cancer. Methods: A total of 92 patients with prostate cancer confirmed by radical surgery in First Affiliated Hospital, Air Force Medical University, from January 2017 to December 2021 were collected. All patients underwent bpMRI (non-enhanced scan and DWI). According to ISUP grade, those patients were divided into low-risk group [≤grade 2, n=26, aged 71 (64.0, 5.2) years] and high-risk group[≥grade 3, n=66, aged 70.5 (63.0, 74.0) years]. The interobserver consistency test for ADC values was evaluated using the intraclass correlation coefficients (ICC). The differences in total prostate specific antigen (tPSA) between the two groups were compared and the χ2 test was used to compare the differences in the risk of prostate cancer in the transitional and peripheral zone. Independent correlation factors for prostate cancer risk were analyzed by logistic regression using high and low risk of prostate cancer as dependent variables, including factors such as anatomical zone, tPSA, apparent diffusion coefficient mean (ADCmean), apparent diffusion coefficient minimum (ADCmin) and age. Receiver operating characteristic (ROC) curves were plotted to assess the efficacy of the combined models of anatomical zone, tPSA, and anatomical partitioning+tPSA for diagnosing prostate cancer risk. Results: The ICC values of the ADCmean and ADCmin between the observers were 0.906 and 0.885, respectively, with good agreement. The tPSA in the low-risk group was lower than that in the high-risk group [19.64 (10.29, 35.18) ng/ml vs 72.42 (24.79, 187.98) ng/ml; P<0.001]; the risk of prostate cancer in the peripheral zone was higher than that in the transitional zone, and the difference was statistically significant (P<0.01). Multifactorial regression showed that anatomical zones (OR=0.120, 95%CI:0.029-0.501, P=0.004) and tPSA (OR=1.059, 95%CI:1.022-1.099, P=0.002) were risk factors for prostate cancer risk. The diagnostic efficacy of the combined model (AUC=0.895, 95%CI: 0.831-0.958) was better than the predictive efficacy of the single model for both anatomical partitioning (AUC=0.717, 95%CI:0.597-0.837) and tPSA (AUC=0.801, 95%CI: 0.714-0.887) (Z=3.91, 2.47; all P<0.05). Conclusions: The malignant degree of prostate cancer in peripheral zone was higher than that in transitional zone. Combination of anatomic zone located by bpMRI and tPSA can be used to predict the risk of prostate cancer before surgery, expected to provide support for patients to develop personalized treatment strategies.
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Affiliation(s)
- Z J Xiao
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - J Ren
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - Y Han
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - F Shen
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - J M Zheng
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - W J Qin
- Department of Urology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
| | - Y Huan
- Department of Radiology, First Affiliated Hospital, Air Force Medical University, Xi'an 710032, China
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14
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Shen F, Hu LH, Huang HS, Li L. Development and validation of the scale for symptom clusters in patients with myasthenia gravis. BMC Neurol 2023; 23:196. [PMID: 37208623 DOI: 10.1186/s12883-023-03240-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 05/04/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND Patients with myasthenia gravis(MG)often experience multiple symptoms concurrently, which can have an adverse effect on their quality of life(QOL). However, a specific, systemic and reliable scale for symptom clusters in MG is lacking. AIMS To develop reliable assessment scale for symptom clusters in patients with MG. DESIGN A cross-sectional descriptive study. METHODS Based on the unpleasant symptom theory(TOUS), the first draft of the scale was developed through review literature, qualitative interview, and Delphi expert correspondence, the items of the scale were presented and adjusted through cognitive interviews with 12 patients. To conveniently assess the validity and reliability of the scale, a cross-sectional survey was conducted in 283 patients with MG who were recruited from Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, from June to September 2021. RESULTS The final symptom cluster scale for patients with MG consisted of 19 items(MGSC-19), with a content validity index ranging from 0.828 to 1.000 for each item and the content validity index was 0.980. Four common variables (ocular muscle weakness, general muscular weakness, treatment-related side effects, and psychiatric problems) were identified by exploratory factor analysis, which explained 70.187% of the total variance. The correlation coefficients between the scale dimension and the overall score ranged from 0.395 to 0.769 (all P < 0.01), while the correlation coefficients between dimensions varied from 0.324 to 0.510 (all P < 0.01). The Cronbach's alpha, retest reliability, and half reliability were 0.932, 0.845, and 0.837, respectively. CONCLUSION The validity and reliability of MGSC-19 were generally good. This scale can be employed to identify the symptom clusters to help healthcare givers develop individualized symptom management measures for patients with MG.
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Affiliation(s)
- Fan Shen
- Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Qiaokou district, Wuhan, China
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lu-Hong Hu
- Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Qiaokou district, Wuhan, China
| | - Hai-Shan Huang
- Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Qiaokou district, Wuhan, China.
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ling Li
- Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Qiaokou district, Wuhan, China.
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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15
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Pang W, Shao Y, Zhuang XL, Lu Y, He WQ, Zheng HY, Xin R, Zhang MX, Zhang XL, Song JH, Tian RR, Shen F, Li YH, Zhao ZJ, Wu DD, Zheng YT. Genomic evidence for the nonpathogenic state in HIV-1-infected northern pig-tailed macaques. Mol Biol Evol 2023; 40:7150876. [PMID: 37134013 PMCID: PMC10182734 DOI: 10.1093/molbev/msad101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/11/2023] [Accepted: 04/13/2023] [Indexed: 05/04/2023] Open
Abstract
HIV-1 is a highly host-specific retrovirus that infects humans but not most nonhuman primates. Thus, the lack of a suitable primate model that can be directly infected with HIV-1 hinders HIV-1/AIDS research. In the previous study, we have found that the northern pig-tailed macaques (NPMs) are susceptible to HIV-1 infection but shows a nonpathogenic state. In this study, to understand this macaque-HIV-1 interaction, we assembled a de novo genome and longitudinal transcriptome for this species during the course of HIV-1 infection. Using comparative genomic analysis, a positively selected gene, Toll-like receptor 8 (TLR8), was identified with a weak ability to induce an inflammatory response in this macaque. In addition, an IFN-stimulated gene, interferon alpha inducible protein 27 (IFI27), was upregulated in acute HIV-1 infection and acquired an enhanced ability to inhibit HIV-1 replication compared with its human ortholog. These findings coincide with the observation of persistently downregulated immune activation and low viral replication, and can partially explain the AIDS-free state in this macaque following HIV-1 infection. This study identified a number of unexplored host genes that may hamper HIV-1 replication and pathogenicity in NPMs, and provided new insights into the host defense mechanisms in cross-species infection of HIV-1. This work will facilitate the adoption of NPM as a feasible animal model for HIV-1/AIDS research.
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Affiliation(s)
- Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223, China
| | - Xiao-Lin Zhuang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223, China
| | - Ying Lu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences; Kunming 650223, China
| | - Wen-Qiang He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Hong-Yi Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Rong Xin
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences; Kunming 650223, China
| | - Ming-Xu Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Xiao-Liang Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Jia-Hao Song
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Ren-Rong Tian
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Fan Shen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Yi-Hui Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Zu-Jiang Zhao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650107, China
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of the Chinese Academy of Sciences; Kunming 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences; Kunming, Yunnan 650107, China
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16
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Lu Y, Pang W, Zhang MD, Song JH, Shen F, He WQ, Zheng YT. A Novel Vpu Adaptive Mutation of HIV-1 Degrades Tetherin in Northern Pig-Tailed Macaques (Macaca leonina) Mainly via the Ubiquitin-Proteasome Pathway and Increases Viral Release. J Virol 2023; 97:e0020023. [PMID: 36971578 PMCID: PMC10134834 DOI: 10.1128/jvi.00200-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 03/03/2023] [Indexed: 03/29/2023] Open
Abstract
Tetherin prevents viral cross-species transmission by inhibiting the release of multiple enveloped viruses from infected cells. With the evolution of simian immunodeficiency virus of chimpanzees (SIVcpz), a pandemic human immunodeficiency virus type 1 (HIV-1) precursor, its Vpu protein can antagonize human tetherin (hTetherin). Macaca leonina (northern pig-tailed macaque [NPM]) is susceptible to HIV-1, but host-specific restriction factors limit virus replication in vivo. In this study, we isolated the virus from NPMs infected with strain stHIV-1sv (with a macaque-adapted HIV-1 env gene from simian-human immunodeficiency virus SHIV-KB9, a vif gene replaced by SIVmac239, and other genes originating from HIV-1NL4.3) and found that a single acidic amino acid substitution (G53D) in Vpu could increase its ability to degrade the tetherin of macaques (mTetherin) mainly through the proteasome pathway, resulting in an enhanced release and resistance to interferon inhibition of the mutant stHIV-1sv strain, with no influence on the other functions of Vpu. IMPORTANCE HIV-1 has obvious host specificity, which has greatly hindered the construction of animal models and severely restricted the development of HIV-1 vaccines and drugs. To overcome this barrier, we attempted to isolate the virus from NPMs infected with stHIV-1sv, search for a strain with an adaptive mutation in NPMs, and develop a more appropriate nonhuman primate model of HIV-1. This is the first report identifying HIV-1 adaptations in NPMs. It suggests that while tetherin may limit HIV-1 cross-species transmission, the Vpu protein in HIV-1 can overcome this species barrier through adaptive mutation, increasing viral replication in the new host. This finding will be beneficial to building an appropriate animal model for HIV-1 infection and promoting the development of HIV-1 vaccines and drugs.
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Affiliation(s)
- Ying Lu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Man-Di Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- KIZ-SU Joint Laboratory of Animal Model and Drug Development, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
| | - Jia-Hao Song
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fan Shen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wen-Qiang He
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
- KIZ-SU Joint Laboratory of Animal Model and Drug Development, College of Pharmaceutical Sciences, Soochow University, Suzhou, China
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17
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Han Y, Shen F, Jiao J, Xiao Z, Qin W, Ren J, Huan Y. Unambiguous radiologic extranodal extension determined by MRI could be a biomarker in predicting metastatic prostate cancer. Radiol Med 2023; 128:520-527. [PMID: 37101062 DOI: 10.1007/s11547-023-01631-8] [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: 01/30/2023] [Accepted: 04/12/2023] [Indexed: 04/28/2023]
Abstract
OBJECTIVE To explore the relationship between unambiguous radiologic extranodal extension (rENE) and M1 staging in patients with metastatic PCa. METHODS A respective analysis of 1073 patients of PCa N1 staging from January 2004 to May 2022 was retrospectively enrolled. They were divided into rENE + and rENE - groups and retrospectively analyzed the M staging with nuclear medicine data. The correlation index between unambiguous rENE and M1b staging was calculated. Logistic regression was used to evaluate the predictive performance of unambiguous rENE in M1b staging. ROC curves were used to investigate the relationship between unambiguous rENE and M staging in patients who underwent 68 Ga-PSMA PET/CT. RESULTS A total of 1073 patients were included. Seven hundred and eighty patients were classified into the rENE + group (mean age, 69.6 years ± 8.7 [standard deviation]), and 293 were classified into rENE - group (mean age, 66.7 years ± 9.4 [standard deviation]). Relationship between unambiguous rENE and M1b existed (r = 0.58, 95%CI: 0.52-0.64, P < 0.05). Unambiguous rENE could be an independent predictor for M1b (OR = 13.64, 95%CI: 9.23-20.14, P < 0.05). The AUC of unambiguous rENE in predicting M1b and M staging was 0.835 and 0.915, respectively, in patients who underwent 68 Ga-PSMA PET/CT. CONCLUSIONS Unambiguous rENE could be a strong biomarker to predict M1b and M staging in patients with PCa. When rENE came up, patients should perform nuclear medicine immediately, and a systematic treatment should be considered.
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Affiliation(s)
- Ye Han
- Department of Radiology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
- Department of Radiology, 83 Group Military Hospital of People's Liberation Army, Xiangyang Road No.371, Xinxiang, Henan Province, China
| | - Fan Shen
- Department of Radiology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
| | - Jianhua Jiao
- Department of Urology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
| | - Zunjian Xiao
- Department of Radiology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
| | - Weijun Qin
- Department of Urology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
| | - Jing Ren
- Department of Radiology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China.
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Air Force Medical University, 127 Chang Le West Road, Xi'an, Shaanxi Province, China
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18
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Bishop DG, Fernandes NL, Dyer RA, Sumikura H, Okada H, Suga Y, Shen F, Xu Z, Liu Z, Vasco M, George RB, Guasch E. Global issues in obstetric anaesthesia: perspectives from South Africa, Japan, China, Latin America and North America. Int J Obstet Anesth 2023; 54:103648. [PMID: 36930996 DOI: 10.1016/j.ijoa.2023.103648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/12/2023] [Accepted: 02/20/2023] [Indexed: 03/02/2023]
Abstract
South Africa is classified as a low- and middle-income country, with a complex mixture of resource-rich and resource-limited settings. In the major referral hospitals, the necessary skill level exists for the management of complex challenges. However, this contrasts with the frequently-inadequate skill levels of anaesthesia practitioners in resource-limited environments. In Japan, obstetricians administer anaesthesia for 40% of caesarean deliveries and 80% of labour analgesia. Centralisation of delivery facilities is now occurring and it is expected that obstetric anaesthesiologists will be available 24 h a day in centralised facilities in the future. In China, improvements in women's reproductive, maternal, neonatal, child, and adolescent health are critical government policies. Obstetric anaesthesia, especially labour analgesia, has received unprecedented attention. Chinese obstetric anaesthesiologists are passionate about clinical research, focusing on efficacy, safety, and topical issues. The Latin-American region has different landscapes, people, languages, and cultures, and is one of the world's regions with the most inequality. There are large gaps in research, knowledge, and health services, and the World Federation of Societies of Anaesthesiologists is committed to working with governmental and non-governmental organisations to improve patient care and access to safe anaesthesia. Anaesthesia workforce challenges, exacerbated by coronavirus disease 2019, beset North American healthcare. Pre-existing struggles by governments and decision-makers to improve health care access remain, partly due to unfamiliarity with the role of the anaesthesiologist. In addition to weaknesses in work environments and dated standards of work culture, the work-life balance demanded by new generations of anaesthesiologists must be acknowledged.
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Affiliation(s)
- D G Bishop
- Perioperative Research Group, Department of Anaesthetics, Critical Care and Pain Management, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - N L Fernandes
- Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, South Africa
| | - R A Dyer
- Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, South Africa
| | - H Sumikura
- Department of Anesthesiology and Pain Medicine, Juntendo University, Japan
| | - H Okada
- Department of Anesthesiology and Pain Medicine, Juntendo University, Japan
| | - Y Suga
- Department of Anesthesiology and Pain Medicine, Juntendo University, Japan
| | - F Shen
- Department of Anaesthesiology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynaecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Z Xu
- Department of Anaesthesiology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynaecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Z Liu
- Department of Anaesthesiology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynaecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - M Vasco
- Director of Clinical Simulation, Universidad CES, Medellín, Colombia
| | - R B George
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada
| | - E Guasch
- Division Chief Obstetric Anaesthesia, Hospital Universitario La Paz, Madrid, Spain.
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19
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Shen F, Yang CX, Lu Y, Zhang M, Tian RR, Dong XQ, Li AQ, Zheng YT, Pang W. Significant neutralizing escapes of Omicron and its sublineages in SARS-CoV-2-infected individuals vaccinated with inactivated vaccines. J Med Virol 2023; 95:e28516. [PMID: 36680413 DOI: 10.1002/jmv.28516] [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: 10/25/2022] [Revised: 12/13/2022] [Accepted: 01/18/2023] [Indexed: 01/22/2023]
Abstract
In China, most SARS-CoV-2-infected individuals had been vaccinated with inactivated vaccines. However, little is known about their immune resistances to the previous variants of concerns (VOCs) and the current Omicron sublineages. Here, we collected convalescent serum samples from SARS-CoV-2-infected individuals during the ancestral, Delta, and Omicron BA.1 waves, and evaluated their cross-neutralizing antibodies (nAbs) against the previous VOCs and the current Omicron sublineages using VSV-based pseudoviruses. In the convalescents who had been unvaccinated and vaccinated with two doses of inactivated vaccines, we found infections from either the ancestral or the Delta strain elicited moderate cross-nAbs to previous VOCs, but very few cross-nAbs to the Omicron sublineages, including BA.1, BA.2, BA.3, and BA.4/5. The individuals who had been vaccinated with two doses of inactivated vaccines before Omicron BA.1 infection had moderate nAbs to Omicron BA.1, but weak cross-nAbs to the other Omicron sublineages. While three doses of inactivated vaccines followed Omicron BA.1 infection induced elevated and still weak cross-nAbs to other Omicron sublineages. Our results indicate that the Omicron sublineages show significant immune escape in the previously SARS-CoV-2-infected individuals and thus highlights the importance of vaccine boosters in this population.
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Affiliation(s)
- Fan Shen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Cui-Xian Yang
- Yunnan Provincial Infectious Disease Hospital, Kunming, China
| | - Ying Lu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Mi Zhang
- Yunnan Provincial Infectious Disease Hospital, Kunming, China
| | - Ren-Rong Tian
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Xing-Qi Dong
- Yunnan Provincial Infectious Disease Hospital, Kunming, China
| | - An-Qi Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wei Pang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
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20
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Bloom PA, Bartlett E, Kathios N, Algharazi S, Siegelman M, Shen F, Beresford L, DiMaggio-Potter ME, Singh A, Bennett S, Natarajan N, Lee H, Sajid S, Joyce E, Fischman R, Hutchinson S, Pan S, Tottenham N, Aly M. Effects of familiar music exposure on deliberate retrieval of remote episodic and semantic memories in healthy aging adults. Memory 2023; 31:428-456. [PMID: 36651851 DOI: 10.1080/09658211.2023.2166078] [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: 01/19/2023]
Abstract
Familiar music facilitates memory retrieval in adults with dementia. However, mechanisms behind this effect, and its generality, are unclear because of a lack of parallel work in healthy aging. Exposure to familiar music enhances spontaneous recall of memories directly cued by the music, but it is unknown whether such effects extend to deliberate recall more generally - e.g., to memories not directly linked to the music being played. It is also unclear whether familiar music boosts recall of specific episodes versus more generalised semantic memories, or whether effects are driven by domain-general mechanisms (e.g., improved mood). In a registered report study, we examined effects of familiar music on deliberate recall in healthy adults ages 65-80 years (N = 75) by presenting familiar music from earlier in life, unfamiliar music, and non-musical audio clips across three sessions. After each clip, we assessed free recall of remote memories for pre-selected events. Contrary to our hypotheses, we found no effects of music exposure on recall of prompted events, though familiar music evoked spontaneous memories most often. These results suggest that effects of familiar music on recall may be limited to memories specifically evoked in response to the music (Preprint and registered report protocol at https://osf.io/kjnwd/).
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Affiliation(s)
| | - Ella Bartlett
- Barnard College of Columbia University, New York, NY, USA
| | | | | | | | - Fan Shen
- Columbia University, New York, NY, USA
| | | | | | | | - Sarah Bennett
- Teachers College, Columbia University, New York, NY, USA
| | | | | | | | - Erin Joyce
- Teachers College, Columbia University, New York, NY, USA
| | | | | | - Sophie Pan
- Barnard College of Columbia University, New York, NY, USA
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21
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Pang W, Lu Y, Zhao YB, Shen F, Fan CF, Wang Q, He WQ, He XY, Li ZK, Chen TT, Yang CX, Li YZ, Xiao SX, Zhao ZJ, Huang XS, Luo RH, Yang LM, Zhang M, Dong XQ, Li MH, Feng XL, Zhou QC, Qu W, Jiang S, Ouyang S, Zheng YT. A variant-proof SARS-CoV-2 vaccine targeting HR1 domain in S2 subunit of spike protein. Cell Res 2022; 32:1068-1085. [PMID: 36357786 PMCID: PMC9648449 DOI: 10.1038/s41422-022-00746-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 07/27/2022] [Accepted: 10/27/2022] [Indexed: 11/11/2022] Open
Abstract
The emerging SARS-CoV-2 variants, commonly with many mutations in S1 subunit of spike (S) protein are weakening the efficacy of the current vaccines and antibody therapeutics. This calls for the variant-proof SARS-CoV-2 vaccines targeting the more conserved regions in S protein. Here, we designed a recombinant subunit vaccine, HR121, targeting the conserved HR1 domain in S2 subunit of S protein. HR121 consisting of HR1-linker1-HR2-linker2-HR1, is conformationally and functionally analogous to the HR1 domain present in the fusion intermediate conformation of S2 subunit. Immunization with HR121 in rabbits and rhesus macaques elicited highly potent cross-neutralizing antibodies against SARS-CoV-2 and its variants, particularly Omicron sublineages. Vaccination with HR121 achieved near-full protections against prototype SARS-CoV-2 infection in hACE2 transgenic mice, Syrian golden hamsters and rhesus macaques, and effective protection against Omicron BA.2 infection in Syrian golden hamsters. This study demonstrates that HR121 is a promising candidate of variant-proof SARS-CoV-2 vaccine with a novel conserved target in the S2 subunit for application against current and future SARS-CoV-2 variants.
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Affiliation(s)
- Wei Pang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Ying Lu
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Yan-Bo Zhao
- grid.411503.20000 0000 9271 2478The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Fan Shen
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Chang-Fa Fan
- grid.410749.f0000 0004 0577 6238Division of Animal Model Research, Institute for Laboratory Animal Resources, National Institutes for Food and Drug Control, Beijing, China
| | - Qian Wang
- grid.8547.e0000 0001 0125 2443Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Institute of Infectious Disease and Biosecurity, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Wen-Qiang He
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Xiao-Yan He
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Ze-Kai Li
- grid.411503.20000 0000 9271 2478The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Tao-Tao Chen
- grid.411503.20000 0000 9271 2478The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Cui-Xian Yang
- grid.508267.eYunnan Provincial Infectious Disease Hospital, Kunming, Yunnan China
| | - You-Zhi Li
- grid.411503.20000 0000 9271 2478The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Si-Xuan Xiao
- grid.411503.20000 0000 9271 2478The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian China
| | - Zu-Jiang Zhao
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Xu-Sheng Huang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China ,grid.410726.60000 0004 1797 8419University of the Chinese Academy of Sciences, Beijing, China
| | - Rong-Hua Luo
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Liu-Meng Yang
- grid.9227.e0000000119573309Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Mi Zhang
- grid.508267.eYunnan Provincial Infectious Disease Hospital, Kunming, Yunnan China
| | - Xing-Qi Dong
- grid.508267.eYunnan Provincial Infectious Disease Hospital, Kunming, Yunnan China
| | - Ming-Hua Li
- grid.9227.e0000000119573309Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Xiao-Li Feng
- grid.9227.e0000000119573309Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Qing-Cui Zhou
- grid.9227.e0000000119573309Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Wang Qu
- grid.9227.e0000000119573309Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan China
| | - Shibo Jiang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), Shanghai Institute of Infectious Disease and Biosecurity, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Songying Ouyang
- The Key Laboratory of Innate Immune Biology of Fujian Province, Provincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, Biomedical Research Center of South China, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, College of Life Sciences, Fujian Normal University, Fuzhou, Fujian, China.
| | - Yong-Tang Zheng
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China. .,University of the Chinese Academy of Sciences, Beijing, China. .,Kunming National High-level Biosafety Research Center for Non-human Primates, Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
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Shen F, Huang H, Li L. Effects of symptom clusters on quality of life mediated by self‐efficacy among individuals with myasthenia gravis: A structural equation modelling analysis. J Clin Nurs 2022. [DOI: 10.1111/jocn.16569] [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: 06/23/2022] [Revised: 08/24/2022] [Accepted: 10/04/2022] [Indexed: 12/02/2022]
Affiliation(s)
- Fan Shen
- Department of Neurology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China
- School of Nursing, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China
| | - Hai‐Shan Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China
| | - Ling Li
- Department of Neurology, Tongji Hospital, Tongji Medical College Huazhong University of Science and Technology Wuhan China
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Sun H, Shen F, Bai X, Liu LX, Xiang BD, Song T, Chen M, Kuang M, Huang ZY, Li D, Wen T, Zhao HT, Zeng YY, Zhu X, Zhou J, Fan J. 92P Safety of liver resection following atezolizumab plus bevacizumab treatment in hepatocellular carcinoma (HCC) patients with macrovascular invasion: A pre-specified analysis of the TALENTop study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Chen S, Li QH, Chen X, Bao HJ, Wu W, Shen F, Lu BF, Jiang RQ, Zong ZH, Zhao Y. SNORA70E promotes the occurrence and development of ovarian cancer through pseudouridylation modification of RAP1B and alternative splicing of PARPBP. J Cell Mol Med 2022; 26:5150-5164. [PMID: 36056690 PMCID: PMC9575132 DOI: 10.1111/jcmm.17540] [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: 04/29/2022] [Revised: 08/03/2022] [Accepted: 08/26/2022] [Indexed: 11/27/2022] Open
Abstract
The present study demonstrated for the first time that SNORA70E, which belongs to box H/ACA small nucleolar noncoding RNAs (snoRNAs) who could bind and induce pseudouridylation of RNAs, was significantly elevated in ovarian cancer tissues and was an unfavourable prognostic factor of ovarian cancer. The over‐expression of SNORA70E showed increased cell proliferation, invasion and migration in vitro and induced tumour growth in vivo. Further research found that SNORA70E regulates RAS‐Related Protein 1B (RAP1B) mRNA through pseudouracil modification by combing with the pyrimidine synthase Dyskerin Pseudouridine Synthase 1 (DKC1) and increase RAP1B protein level. What's more, the silencing of DKC1/RAP1B in SNORA70E overexpression cells both inhibited cell proliferation, migration and invasion through reducing β‐catenin, PI3K, AKT1, mTOR, and MMP9 protein levels. Besides, RNA‐Seq results revealed that SNORA70E regulates the alternative splicing of PARP‐1 binding protein (PARPBP), leading to the 4th exon‐skipping in PARPBP‐88, forming a new transcript PARPBP‐15, which promoted cell invasion, migration and proliferation. Finally, ASO‐mediated silencing of SNORA70E could inhibit ovarian cancer cell proliferation, invasion, migration ability in vitro and inhibit tumorigenicity in vivo. In conclusion, SNORA70E promotes the occurrence and development of ovarian cancer through pseudouridylation modification of RAP1B and alternative splicing of PARPBP. Our results demonstrated that SNORA70E may be a new diagnostic and therapeutic target for ovarian cancer.
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Affiliation(s)
- Shuo Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qian-Hui Li
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xi Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hai-Juan Bao
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wu Wu
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fan Shen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bing-Feng Lu
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ru-Qi Jiang
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhi-Hong Zong
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yang Zhao
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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25
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Sergi CM, Miller E, Demellawy DE, Shen F, Zhang M. Chronic recurrent multifocal osteomyelitis. A narrative and pictorial review. Front Immunol 2022; 13:959575. [PMID: 36072576 PMCID: PMC9441751 DOI: 10.3389/fimmu.2022.959575] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 11/30/2022] Open
Abstract
Chronic recurrent and multifocal osteomyelitis (CRMO) is a nonsporadic autoinflammatory disorder. Currently, it is diagnosed based on clinical, radiologic, pathological, and longitudinal data. Numerous aspects should be highlighted due to increased knowledge in imaging and immunology. We emphasize the use of whole-body MRI, which is a non-invasive diagnostic strategy. A literature review was carried out on longitudinal studies. Commonly, the mean age at diagnosis is 11 years, ranging between 3 and 17. The most common sites are the long bone metaphysis, particularly femoral and tibial metaphysis. In addition, the pelvis, spine, clavicle, and mandible may be involved. In long bones, the radiologic appearance can show typical structure, mixed lytic and sclerotic, sclerotic or lytic. It is frequently metaphyseal or juxta-physeal, with hyperostosis or periosteal thickening. The involvement of the vertebral skeleton is often multifocal. Therefore, whole-body MRI is essential in identifying subclinical lesions. CRMO is a polymorphic disorder in which whole-body MRI is beneficial to demonstrate subclinical edema. Vertebral collapse requires long-term monitoring.
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Affiliation(s)
- Consolato M. Sergi
- Anatomic Pathology Division, Children’s Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
- Department of Orthopedics, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
- *Correspondence: Consolato M. Sergi,
| | - Elka Miller
- Medical Imaging Department, Children’s Hospital of Eastern Ontario (CHEO), University of Ottawa, Ottawa, ON, Canada
| | - Dina El Demellawy
- Anatomic Pathology Division, Children’s Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada
| | - Fan Shen
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Mingyong Zhang
- Department of Orthopedics, Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, China
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Xu S, Song J, Shen F, Wang Y, Zhang L, Fang H, Yu Y. Uptake, Accumulation, and translocation of azoxystrobin by Vegetable plants in soils: influence of soil characteristics and plant species. Bull Environ Contam Toxicol 2022; 109:386-392. [PMID: 35670838 DOI: 10.1007/s00128-022-03556-w] [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: 01/07/2022] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
Although azoxystrobin has been widely applied on various crops, little is known about the bioavailability of azoxystrobin in the soil-vegetable system. In this study, the uptake, accumulation and translocation of azoxystrobin as affected by soil characteristics and plant species were respectively investigated. The accumulation amount of azoxystrobin in pakchoi increased as soil adsorption decreased and was positively associated with its concentration in pore water (Cpw), which was mainly affected by soil organic matter content. Therefore, Cpw could be a candidate for the estimation of azoxystrobin accumulation in pakchoi. In all the tested vegetables, azoxystrobin was mainly accumulated in roots, and its upward translocation was limited. Root lipid content was a major factor affecting the uptake and translocation of azoxystrobin in different vegetables.
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Affiliation(s)
- Shiji Xu
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
| | - Jialu Song
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
| | - Fan Shen
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
| | - Yingnan Wang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
| | - Luqing Zhang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China.
| | - Hua Fang
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, The Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, 310058, Hangzhou, China
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Zochowski K, Cyanam D, Lowman G, Kilzer J, El-Difrawy S, Zhu Y, Puranik T, Phan A, Wong D, Kwong E, Nemes C, Casuga I, Chan F, Kim EJ, Guo J, Mittal V, Norris E, Sarda S, Gupta M, Shen F, Roman S, Vargas G, Jin Y, Kraltcheva A, Williams P, Gulati A, Rigby J, Hoff C, Meade R, Wong-Ho E, Wong A, Ghadiri J, Garcia-Viramontes D, Myrand S, Sadis S. Abstract 42: High-throughput next-generation sequencing research solutions for detection of oncology variants, gene fusion events, and key oncology endpoints. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-42] [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: 11/16/2022]
Abstract
Abstract
Introduction: The Ion Torrent Genexus System has redefined the genomic profiling paradigm as the first fully-integrated, next-generation sequencing (NGS) research platform to provide an automated sample-to-report workflow with results in a single day. With a purification instrument, an enhanced chip architecture, and downstream reporting, the Genexus System provides a convenient solution to enable oncology research. Here we highlight the oncology research applications and high-throughput NGS capabilities of the Genexus System with Oncomine Comprehensive Assay Plus (OCA Plus), an oncology research panel that can detect variants, fusions, and evaluate key oncology research endpoints. We demonstrate the ability of OCA Plus on Genexus to evaluate tumor mutational burden (TMB), microsatellite instability (MSI), loss of heterozygosity (LOH), and homologous recombination repair deficiency (HRD).
Methods: The high-throughput capabilities of the Genexus System enable it to support large oncology research panels such as OCA Plus, which comprises over 13,000 amplicons. The extensive per sample coverage allows for comprehensive DNA and RNA genomic profiling of relevant cancer biomarkers in over 500 genes including detection of over 1,300 fusion isoforms. We utilized high-molecular weight and FFPE samples, reference controls, and orthogonally tested research samples to evaluate DNA variant calling, RNA fusion calling, and key oncology research endpoints, including MSI, LOH, TMB, and HRD.
Results: Commercially sourced reference control and research samples were sequenced using OCA Plus on the Genexus System. Sequencing data metrics showed ≥24 million reads per sample, with four samples supported per run. The high-throughput capacity of the Genexus chip architecture results in >95% of amplicons achieving a minimum of 500X coverage with an average coverage uniformity of ≥95% when evaluated across all >13,000 amplicons. Variant calling was assessed using the AcroMetrix Oncology Hotspot Control which has 328 hotspot variants covered by OCA Plus. Variant calling performance showed a hotspot and de novo variant sensitivity and PPV >95%. MSI score and status were assessed using known MSI-High and microsatellite stable (MSS) research samples and FFPE samples of interest. Results show high concordance with data from OCA Plus on GeneStudio.
Conclusions: The increased throughput of the Genexus System combined with minimal touchpoints and a rapid turnaround time enables comprehensive genomic profiling for research assays such as OCA Plus where an increased number of sequencing reads leads to greater sensitivity for detecting rare variants and low-level fusion transcripts. Further, accurate characterization of key oncology research endpoints, such as TMB, MSI, LOH, and HRD, allow the Genexus System to accelerate research in the field of oncology.
Citation Format: Kayla Zochowski, Dinesh Cyanam, Geoffrey Lowman, Jennifer Kilzer, Sameh El-Difrawy, Yan Zhu, Tanaya Puranik, Alex Phan, Derek Wong, Edith Kwong, Coleen Nemes, Iris Casuga, Frances Chan, Eun Ji Kim, Jianjun Guo, Vinay Mittal, Emily Norris, Shrutii Sarda, Mohit Gupta, Fan Shen, Steven Roman, Gabriel Vargas, Ying Jin, Annie Kraltcheva, Paul Williams, Amneet Gulati, Justin Rigby, Christopher Hoff, Richard Meade, Elaine Wong-Ho, Andrew Wong, Jamsheed Ghadiri, David Garcia-Viramontes, Scott Myrand, Seth Sadis. High-throughput next-generation sequencing research solutions for detection of oncology variants, gene fusion events, and key oncology endpoints [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 42.
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Affiliation(s)
| | | | | | | | | | - Yan Zhu
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | - Alex Phan
- 2Thermo Fisher Scientific, Carlsbad, CA
| | - Derek Wong
- 3Thermo Fisher Scientific, South San Francisco, CA
| | - Edith Kwong
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | - Iris Casuga
- 3Thermo Fisher Scientific, South San Francisco, CA
| | - Frances Chan
- 3Thermo Fisher Scientific, South San Francisco, CA
| | - Eun Ji Kim
- 3Thermo Fisher Scientific, South San Francisco, CA
| | - Jianjun Guo
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | | | | | - Mohit Gupta
- 3Thermo Fisher Scientific, South San Francisco, CA
| | - Fan Shen
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | | | - Ying Jin
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | | | | | - Justin Rigby
- 3Thermo Fisher Scientific, South San Francisco, CA
| | | | | | | | | | | | | | | | - Seth Sadis
- 1Thermo Fisher Scientific, Ann Arbor, MI
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Auld FM, Sergi CM, Leng R, Shen F. The Role of N6-Methyladenosine in the Promotion of Hepatoblastoma: A Critical Review. Cells 2022; 11:cells11091516. [PMID: 35563821 PMCID: PMC9101889 DOI: 10.3390/cells11091516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/08/2022] [Accepted: 04/28/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Hepatoblastoma is the most common malignant pediatric tumor of the liver. Unlike hepatocellular carcinoma (HCC) which has been associated with hepatitis B virus infection or cirrhosis, the etiology of hepatoblastoma remains vague. Genetic syndromes, including familial adenomatous polyposis (FAP), Beckwith-Wiedemann syndrome (BWS), and trisomy 18 syndrome, have been associated with hepatoblastoma. BWS is an overgrowth syndrome which exhibits an alteration of genomic imprinting on chromosome 11p15.5. N6-Methyladenosine (M6A) is an RNA modification with rampant involvement in the metabolism of cells and malignant diseases. It has been observed to impact the development of various cancers via its governance of gene expression. Here, we explore the role of m6A and its genetic associates in promoting HB, and the impact this may have on our future management of the disease. Abstract Hepatoblastoma (HB) is a rare primary malignancy of the developing fetal liver. Its course is profoundly influenced by genetics, in the context of sporadic mutation or genetic syndromes. Conventionally, subtypes of HB are histologically determined based on the tissue type that is recapitulated by the tumor and the direction of its differentiation. This classification is being reevaluated based on advances on molecular pathology. The therapeutic approach comprises surgical intervention, chemotherapy (in a neoadjuvant or post-operative capacity), and in some cases, liver transplantation. Although diagnostic modalities and treatment options are evolving, some patients experience complications, including relapse, metastatic spread, and suboptimal response to chemotherapy. As yet, there is no consistent framework with which such outcomes can be predicted. N6-methyladenosine (m6A) is an RNA modification with rampant involvement in the normal processing of cell metabolism and neoplasia. It has been observed to impact the development of a variety of cancers via its governance of gene expression. M6A-associated genes appear prominently in HB. Literature data seem to underscore the role of m6A in promotion and clinical course of HB. Illuminating the pathogenetic mechanisms that drive HB are promising additions to the understanding of the clinically aggressive tumor behavior, given its potential to predict disease course and response to therapy. Implicated genes may also act as targets to facilitate the evolving personalized cancer therapy. Here, we explore the role of m6A and its genetic associates in the promotion of HB, and the impact this may have on the management of this neoplastic disease.
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Affiliation(s)
- Finn Morgan Auld
- Department of Laboratory Medicine and Pathology, University of Ottawa, Ottawa, ON K1N 6N5, Canada;
| | - Consolato M. Sergi
- Division of Anatomical Pathology, Children’s Hospital of Eastern Ontario (CHEO), Ottawa, ON K1H 8L1, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
- Correspondence: (C.M.S.); (F.S.)
| | - Roger Leng
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
| | - Fan Shen
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB T6G 2B7, Canada;
- Correspondence: (C.M.S.); (F.S.)
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Yu S, Wang Y, Shen F, Fang H, Yu Y. Copper-based fungicide copper hydroxide accelerates the evolution of antibiotic resistance via gene mutations in Escherichia coli. Sci Total Environ 2022; 815:152885. [PMID: 34998765 DOI: 10.1016/j.scitotenv.2021.152885] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 10/15/2021] [Revised: 12/26/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
The extensive use of copper-based fungicides in orchards, especially in vineyards, leads to the accumulation of copper, which has caused growing concern. However, data on the acquisition of antibiotic resistance in opportunistic pathogens under copper-based fungicides are scarce. In this study, we investigated the potential development of antibiotic resistance in Escherichia coli K12 under selective copper hydroxide pressure. The results indicated that copper hydroxide at concentrations of 100 mg/L and 200 mg/L evolved resistance against chloramphenicol and tolerance against tetracycline to 4-8 and 2.00-2.67 times than the initial minimal inhibitory concentrations (MICs), respectively. Whole-genome sequencing analysis showed that the obtained resistant strains carried gene mutations including AcrAB-TolC multidrug efflux pump (acrB and marR), outer membrane porin (evZ), and another indirect pathways. Furthermore, the expression of multidrug efflux pump genes and oxidative stress-related genes were significantly upregulated, whereas outer membrane porin genes were downregulated. Thus, our results could well explain the emergence of antibiotic resistance and resistance mechanisms selected by copper-based fungicide, and provide a basis for the management of copper-based fungicide in agriculture to avoid the spread of antibiotic resistance.
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Affiliation(s)
- Sumei Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Yingnan Wang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Fan Shen
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Hua Fang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China.
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Xu S, Shen F, Song J, Wang Y, Yu S, Zhang L, Fang H, Yu Y. Enantioselectivity of new chiral triazole fungicide mefentrifluconazole: Bioactivity against phytopathogen, and acute toxicity and bioaccumulation in earthworm (Eisenia fetida). Sci Total Environ 2022; 815:152937. [PMID: 35007570 DOI: 10.1016/j.scitotenv.2022.152937] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [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: 10/31/2021] [Revised: 12/31/2021] [Accepted: 01/02/2022] [Indexed: 06/14/2023]
Abstract
Elaborating the environmental behavior of mefentrifluconazole, a novel triazole fungicide, in stereoselective level is of paramount importance for the application of the pesticide in agriculture. In this study, the enantioselective bioactivity, acute toxicity and stereoselective bioaccumulation of mefentrifluconazole in earthworm (Eisenia fetida) were investigated. Bioactivity tests against four pathogens revealed that R-(-)-mefentrifluconazole exhibited approximately 11-113 times higher bioactivity than its S-(+)-mefentrifluconazole. However, the LC50 of S-(+)-, rac- and R-(-)-mefentrifluconazole to earthworm was measured to be 4.1, 11.4 and 7.3 μg/cm2, respectively, indicating active ingredient R-(-)-mefentrifluconazole is less toxic than its racemate and S-form. Accumulation of mefentrifluconazole in earthworms was non-enantioselective and negatively related to its adsorption onto soils. The concentration of mefentrifluconazole in in situ pore water (CIPW) and CaCl2 extraction (CCaCl2) was closely related to its accumulation in earthworms, suggesting that CIPW and CCaCl2 could be appropriate indicators for estimation of the bioavailability of mefentrifluconazole in soil. Conclusively, our study provides necessary information for the risk assessment of mefentrifluconazole in agriculture.
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Affiliation(s)
- Shiji Xu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Fan Shen
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Jialu Song
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Yingnan Wang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Sumei Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Luqing Zhang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China.
| | - Hua Fang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, the Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
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Lin HY, Yen SC, Tsai SK, Shen F, Lin JHY, Lin HJ. Combining Direct PCR Technology and Capillary Electrophoresis for an Easy-to-Operate and Highly Sensitive Infectious Disease Detection System for Shrimp. Life (Basel) 2022; 12:life12020276. [PMID: 35207563 PMCID: PMC8879573 DOI: 10.3390/life12020276] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/09/2022] [Accepted: 02/09/2022] [Indexed: 11/30/2022] Open
Abstract
Infectious diseases are considered the greatest threat to the modern high-density shrimp aquaculture industry. Specificity, rapidity, and sensitivity of molecular diagnostic methods for the detection of asymptomatic infected shrimp allows preventive measures to be taken before disease outbreaks. Routine molecular detection of pathogens in infected shrimp can be made easier with the use of a direct polymerase chain reaction (PCR). In this study, four direct PCR reagent brands were tested, and results showed that the detection signal of direct PCR in hepatopancreatic tissue was more severely affected. In addition, portable capillary electrophoresis was applied to improve sensitivity and specificity, resulting in a pathogen detection limit of 25 copies/PCR-reaction. Juvenile shrimp from five different aquaculture ponds were tested for white spot syndrome virus infection, and the results were consistent with the Organization for Animal Health’s certified standard method. Furthermore, this methodology could be used to examine single post larvae shrimp. The overall detection time was reduced by more than 58.2%. Therefore, the combination of direct PCR and capillary electrophoresis for on-site examination is valuable and has potential as a suitable tool for diagnostic, epidemiological, and pathological studies of shrimp aquaculture.
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Affiliation(s)
- Hung-Yun Lin
- Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 20224, Taiwan;
| | - Shao-Chieh Yen
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 20224, Taiwan;
- BiOptic Inc., New Taipei City 23141, Taiwan;
| | | | - Fan Shen
- Giant Bio Technology Inc., New Taipei City 22101, Taiwan;
| | - John Han-You Lin
- School of Veterinary Medicine, National Taiwan University, Taipei, 10617, Taiwan
- Correspondence: (J.H.-Y.L.); (H.-J.L.)
| | - Han-Jia Lin
- Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 20224, Taiwan;
- Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 20224, Taiwan;
- Correspondence: (J.H.-Y.L.); (H.-J.L.)
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Shen F, Li Z, Xin C, Guo H, Peng Y, Li K. Interface Defect Detection and Identification of Triboelectric Nanogenerators via Voltage Waveforms and Artificial Neural Network. ACS Appl Mater Interfaces 2022; 14:3437-3445. [PMID: 35001611 DOI: 10.1021/acsami.1c19718] [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: 06/14/2023]
Abstract
To provide a robust working environment for TENGs, most TENGs are designed as sealed structures that isolate TENGs from the external environment, and thus their operating conditions cannot be directly monitored. Here, for the first time, we propose an artificial neural network for interface defect detection and identification of triboelectric nanogenerators via training voltage waveforms. First, interface defects of TENGs are classified and their causes are discussed in detail. Then we build a lightweight artificial neural network model which shows high sensitivity to voltage waveforms and low time complexity. The model takes 2.1 s for training one epoch, and the recognition rate of defect detection is 98.9% after 100 epochs. Meanwhile, the model successfully demonstrates the learning ability for low-resolution samples (100 × 75 pixels), which can identify six types of TENG defects, such as edge fracture, adhesion, and abnormal vibration, with a high recognition rate of 93.6%. This work provides a new strategy for the fault diagnosis and intelligent application of TENGs.
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Affiliation(s)
- Fan Shen
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
| | - Zhongjie Li
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
- School of Artificial Intelligence, Shanghai University, Shanghai 200444, P.R. China
| | - Chuanfu Xin
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
| | - Hengyu Guo
- Department of Applied Physics, Chongqing University, Chongqing 400044, P. R. China
| | - Yan Peng
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, P.R. China
- School of Artificial Intelligence, Shanghai University, Shanghai 200444, P.R. China
| | - Kai Li
- Henan Aerospace Hydraulic & Pneumatic Technology Co., Ltd., Zhengzhou 450000, P.R. China
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Chen B, Ji S, Shen F, Tian D, Bu B. Contribution of Relapse-Associated Worsening to Overall Disability Accrual in Patients with Relapsing-Onset Multiple Sclerosis: A Mediation Analysis. Mult Scler Relat Disord 2022; 59:103555. [DOI: 10.1016/j.msard.2022.103555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 01/09/2022] [Accepted: 01/21/2022] [Indexed: 10/19/2022]
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Abstract
As a global health problem, the source of triazole resistance in Aspergillus fumigatus has gained much attention. This study was conducted to explore whether the triazole plant regulator paclobutrazol could evolve triazole resistance in A. fumigatus. The results indicated that two triazole-resistant strains with hereditary stability were isolated from liquid medium and soil. The up-regulation of cyp51A, cyp51B, AtrF, cdr1B, AfuMDR1, AfuMDR2, and AfuMDR4 played an important role in these resistant strains. The triazole-resistance in A. fumigatus could depend on the selective pressure of paclobutrazol concentration and exposure time. These results indicate that the application of paclobutrazol may result in the emergency of triazole resistance in A. fumigatus and thus have a potential risk for the treatment of invasive aspergillosis.
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Affiliation(s)
- Sumei Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Yingnan Wang
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Fan Shen
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Ruilin Wu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Duantao Cao
- The Laboratory for Phytochemistry and Plant-derived Pesticides, College of Agriculture, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yunlong Yu
- Institute of Pesticide and Environmental Toxicology, the Key Laboratory of Molecular Biology of Crop Pathogens and Insects, College of Agricultural and Biotechnology, Zhejiang University, Hangzhou 310058, China
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35
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Gan X, Guo M, Chen Z, Li Y, Shen F, Feng J, Cai W, Xu B. Development and validation of a three-immune-related gene signature prognostic risk model in papillary thyroid carcinoma. J Endocrinol Invest 2021; 44:2153-2163. [PMID: 33620716 DOI: 10.1007/s40618-021-01514-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 01/19/2021] [Indexed: 01/25/2023]
Abstract
PURPOSE Increasing evidence indicates that there is a correlation between papillary thyroid carcinoma (PTC) prognosis and the immune signature. Our goal was to construct a new prognostic tool based on immune genes to achieve more accurate prognosis predictions and earlier diagnoses of PTC. METHODS The 493 PTCs samples and 58 tumor-adjacent normal tissues were obtained from The Cancer Genome Atlas database (TCGA). Immune genes were obtained from the ImmPort database. First, this cohort was randomly divided into training cohort and testing cohort. Second, the differentially expressed (DE) immune genes from the training set were used to construct the prognostic model. Then, the testing and entire data cohorts were used to validate the model, and the data were analyzed to determine the correlation of the clinical prognostic model with immune cell infiltration and expression profiles of human leukocyte antigen (HLA) genes. Finally, an analysis of the gene ontology (GO) annotation was performed. RESULTS A total of 189 upregulated and 128 downregulated DE immune genes were identified. We developed and validated a three-immune gene model for PTC that includes Hsp70, NOX5, and FGF23. This model was demonstrated to be an independent prognostic variable. In addition, the overall immune activity of the high-risk group was higher than that of the low-risk group. CONCLUSIONS We developed and validated a three-immune gene model for PTC that includes HSPA1A, NOX5, and FGF23. This model can be used as a validated tool to predict outcomes in PTC.
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Affiliation(s)
- X Gan
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - M Guo
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Z Chen
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - Y Li
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - F Shen
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - J Feng
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - W Cai
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China
| | - B Xu
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
- Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
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36
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Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Gopal K, Grosnick D, Hamad AI, Hamed A, Harris JW, He S, He W, He X, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kisiel A, Klein SR, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shen F, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Zbroszczyk H, Zha W, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Measurement of e^{+}e^{-} Momentum and Angular Distributions from Linearly Polarized Photon Collisions. Phys Rev Lett 2021; 127:052302. [PMID: 34397228 DOI: 10.1103/physrevlett.127.052302] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 06/17/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
The Breit-Wheeler process which produces matter and antimatter from photon collisions is experimentally investigated through the observation of 6085 exclusive electron-positron pairs in ultraperipheral Au+Au collisions at sqrt[s_{NN}]=200 GeV. The measurements reveal a large fourth-order angular modulation of cos4Δϕ=(16.8±2.5)% and smooth invariant mass distribution absent of vector mesons (ϕ, ω, and ρ) at the experimental limit of ≤0.2% of the observed yields. The differential cross section as a function of e^{+}e^{-} pair transverse momentum P_{⊥} peaks at low value with sqrt[⟨P_{⊥}^{2}⟩]=38.1±0.9 MeV and displays a significant centrality dependence. These features are consistent with QED calculations for the collision of linearly polarized photons quantized from the extremely strong electromagnetic fields generated by the highly charged Au nuclei at ultrarelativistic speed. The experimental results have implications for vacuum birefringence and for mapping the magnetic field which is important for emergent QCD phenomena.
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Affiliation(s)
- J Adam
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - V Bairathi
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218, Russia
| | - J D Brandenburg
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079
| | - D Chen
- University of California, Riverside, California 92521
| | - J H Chen
- Fudan University, Shanghai 200433
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - M Chevalier
- University of California, Riverside, California 92521
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Edmonds
- Purdue University, West Lafayette, Indiana 47907
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- State University of New York, Stony Brook, New York 11794
| | - 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
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Francisco
- Yale University, New Haven, Connecticut 06520
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- American University of Cairo, New Cairo, New Cairo 11835, Egypt
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - S He
- Central China Normal University, Wuhan, Hubei 430079
| | - W He
- Fudan University, Shanghai 200433
| | - X He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - Y Hu
- Fudan University, Shanghai 200433
| | - 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
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Ji
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - M L Kabir
- University of California, Riverside, California 92521
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- 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, Russia
| | - M Kelsey
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - B Kimelman
- University of California, Davis, California 95616
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - S R Klein
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Kocan
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | | | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- 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, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Rice University, Houston, Texas 77251
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
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- State University of New York, Stony Brook, New York 11794
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
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- University of Illinois at Chicago, Chicago, Illinois 60607
| | - R Majka
- Yale University, New Haven, Connecticut 06520
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- University of Texas, Austin, Texas 78712
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Rutgers University, Piscataway, New Jersey 08854
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- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - Z Moravcova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D A Morozov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079
| | - 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
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- Central China Normal University, Wuhan, Hubei 430079
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Yale University, New Haven, Connecticut 06520
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - L Pinsky
- University of Houston, Houston, Texas 77204
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | - 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
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - 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, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - F Shen
- Shandong University, Qingdao, Shandong 266237
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo 05314-970, Brazil
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - 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, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - 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, Russia
| | - 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
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - 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
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - 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
| | - P 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
| | | | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- University of California, Riverside, California 92521
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - 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 F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Yang
- Central China Normal University, Wuhan, Hubei 430079
| | - 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
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | | | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - 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
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237
| | - M Zurek
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Tang Y, Liu Y, Yu H, Shen F, Zhao M, Chen Q. Subsequent pregnancy outcomes and recurrence in women with previous Cesarean scar pregnancy: a 3-year follow-up study in a tertiary hospital. Ultrasound Obstet Gynecol 2021; 58:143-144. [PMID: 33147648 DOI: 10.1002/uog.23536] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 09/02/2020] [Accepted: 10/09/2020] [Indexed: 05/26/2023]
Affiliation(s)
- Y Tang
- Department of Family Planning, The Hospital of Obstetrics & Gynaecology, Fudan University, Shanghai, China
| | - Y Liu
- School of Medicine, Nanjing Medical University, Nanjing, China
| | - H Yu
- Department of Ultrasound, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China
| | - F Shen
- Department of Obstetrics and Gynaecology, Suzhou Ninth People's Hospital, Suzhou, China
| | - M Zhao
- Department of Gynaecology, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China
| | - Q Chen
- Department of Obstetrics & Gynaecology, The University of Auckland, Auckland, New Zealand
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Yu W, Shen F. Does fact-checking habit promote COVID-19 knowledge during the pandemic? Evidence from China. Public Health 2021; 196:85-90. [PMID: 34166857 PMCID: PMC8141691 DOI: 10.1016/j.puhe.2021.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 12/06/2020] [Revised: 04/16/2021] [Accepted: 05/11/2021] [Indexed: 11/21/2022]
Abstract
Objectives Promoting health knowledge during a public health crisis is essential. This study aims to examine how fact-checking habit influences COVID-19 knowledge in the COVID-19 infodemic. Study design This study uses a cross-sectional survey. Methods During the early outbreak of COVID-19 in China, we conducted an online survey and collected data from 3000 representative Chinese Internet users. The study measured COVID-19 knowledge as a dependent variable, fact-checking habit as an independent variable, and general science knowledge and negative emotion as moderators. Internet use and several demographic factors were used as control variables. Ordinary least squares (OLS) linear regression analysis was conducted to examine the relationship between fact-checking habit and COVID-19 knowledge as a function of science knowledge and negative emotion. Results Fact-checking habit was negatively associated with COVID-19 knowledge, and the relationship was moderated by general science knowledge and negative emotion. For those with less science knowledge or higher levels of negative emotion, COVID-19 knowledge was lower with the increase of experience in fact-checking. Conclusions During a pandemic, individuals may not be able to obtain high-quality information, even if they regularly fact-check information, and especially when they lack knowledge about science or are influenced by negative emotion. To promote health knowledge during a public health crisis, basic science literacy must be promoted, and the psychological impact of the crisis on the population must also be considered.
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Affiliation(s)
- W Yu
- Department of Media and Communication, Run Run Shaw Creative Media Centre, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong
| | - F Shen
- Department of Media and Communication, Run Run Shaw Creative Media Centre, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong.
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Shen F, Li L. Backward joint model and dynamic prediction of survival with multivariate longitudinal data. Stat Med 2021; 40:4395-4409. [PMID: 34018218 DOI: 10.1002/sim.9037] [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: 12/21/2020] [Revised: 04/21/2021] [Accepted: 05/01/2021] [Indexed: 11/05/2022]
Abstract
An important approach to dynamic prediction of time-to-event outcomes using longitudinal data is based on modeling the joint distribution of longitudinal and time-to-event data. The widely used joint model for this purpose is the shared random effect model. Presumably, adding more longitudinal predictors improves the predictive accuracy. However, the shared random effect model can be computationally difficult or prohibitive when a large number of longitudinal variables are used. In this paper, we study an alternative way of modeling the joint distribution of longitudinal and time-to-event data. Under this formulation, the log-likelihood involves no more than one-dimensional integration, regardless of the number of longitudinal variables in the model. Therefore, this model is particularly suitable in dynamic prediction problems with large number of longitudinal predictors. The model fitting can be implemented with tractable and stable computation by using a combination of pseudo maximum likelihood estimation, Expectation-Maximization algorithm, and convex optimization. We evaluate the proposed methodology and its predictive accuracy with varying number of longitudinal variables using simulations and data from a primary biliary cirrhosis study.
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Affiliation(s)
- Fan Shen
- Department of Biostatistics and Data Science, The University of Texas School of Public Health, Dallas, Texas, USA.,Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Liang Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Zhao Z, Li J, Shen F. Protective effect of the RNA-binding protein RBM10 in hepatocellular carcinoma. Eur Rev Med Pharmacol Sci 2021; 24:6005-6013. [PMID: 32572914 DOI: 10.26355/eurrev_202006_21494] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To illustrate the protective effect of RBM10 on hepatocellular carcinoma (HCC) progression and the molecular mechanism. PATIENTS AND METHODS RBM10 levels in HCC tissues classified by tumor size and tumor node metastasis (TNM) staging were detected by quantitative real-time polymerase chain reaction (qRT-PCR) Chi-square test was conducted to reveal the relationship between RBM10 level and pathological features in HCC patients. The prognostic potential of RBM10 in HCC was assessed via the Kaplan-Meier method. Overexpression of RBM10 was achieved by transfection of LV-RBM10 in HepG2 and HCC-LM3 cells. Cell counting kit-8 (CCK-8) assay and flow cytometry were carried out to detect viability and apoptosis in HCC cells, respectively. In addition, invasive ability was assessed by transwell assay. Protein level of cleaved-caspase-3 was examined by Western blot. Regulatory effects of RBM10 on protein levels of EGFR, ERK and p-ERK were determined. RESULTS RBM10 was downregulated in HCC tissues. Its level was markedly lower in HCC cases with larger tumor size and stage III+IV. Low level of RBM10 predicted poor prognosis in HCC patients. Overexpression of RBM10 suppressed viability and invasiveness in HCC-LM3 and HepG2 cells, but enhanced apoptotic rate and protein level of cleaved-caspase-3. EGFR was upregulated in HCC tissues, which was negatively regulated by RBM10. Overexpression of RBM10 downregulated protein levels of EGFR and p-ERK in HCC-LM3 and HepG2 cells. CONCLUSIONS RBM10 is downregulated in HCC tissues, which is favorable to the prognosis in HCC patients. As a tumor suppressor, RBM10 attenuates proliferative and invasive abilities, but drives apoptosis in HCC cells, thus alleviating the progression of HCC.
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Affiliation(s)
- Z Zhao
- Medical College of Soochow University, Suzhou, China.
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Gan X, Feng J, Deng X, Shen F, Lu J, Liu Q, Cai W, Chen Z, Guo M, Xu B. The significance of Hashimoto's thyroiditis for postoperative complications of thyroid surgery: a systematic review and meta-analysis. Ann R Coll Surg Engl 2021; 103:223-230. [PMID: 33645288 DOI: 10.1308/rcsann.2020.7013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Hashimoto's thyroiditis (HT) is one of the most common immune-mediated diseases. It makes thyroid surgery more complicated and difficult because there may be adhesions between the thyroid gland and surrounding structures. However, it is still controversial whether HT patients carry a high risk for postoperative complications of thyroid surgery. The purpose of this study was to investigate the significance of HT for the postoperative complications of thyroid surgery. METHODS A search for studies assessing the postoperative complication risks of HT patients compared with that of patients with benign nodules (BNs) was performed in PubMed, EMBASE and Web of Science. Nine studies (20,118 cases, 1,582 cases of HT and 18,536 cases of BN) were identified, and the data from the relevant outcomes were extracted and analysed. RESULTS There were no significant differences between the HT group and BN group in recurrent laryngeal nerve palsy (RLNP) and permanent hypoparathyroidism (PHP). The rate of transient hypocalcaemia (THC) was significantly higher in the HT group (16.85%) than in the BN group (13.20%). CONCLUSIONS The meta-analysis showed that HT only increased the risk of the postoperative complication THC compared to BN. Understanding the significance of HT in postoperative hypoparathyroidism after thyroid surgery would help clinicians perform sufficient preoperative (and postoperative) assessments and to optimise surgical planning.
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Affiliation(s)
- X Gan
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - J Feng
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - X Deng
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - F Shen
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - J Lu
- Department of Colorectal and Anal Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Q Liu
- Department of Oncology, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China
| | - W Cai
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Z Chen
- Department of Thyroid Surgery, Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, China
| | - M Guo
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - B Xu
- Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
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Chen S, Wu W, Li QH, Xie BM, Shen F, Du YP, Zong ZH, Wang LL, Wei XQ, Zhao Y. Circ-NOLC1 promotes epithelial ovarian cancer tumorigenesis and progression by binding ESRP1 and modulating CDK1 and RhoA expression. Cell Death Discov 2021; 7:22. [PMID: 33483472 PMCID: PMC7822960 DOI: 10.1038/s41420-020-00381-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 11/19/2020] [Accepted: 11/24/2020] [Indexed: 11/23/2022] Open
Abstract
Circular RNAs (circRNAs) play important roles in cancer tumorigenesis and progression, representing prognostic biomarkers and therapeutic targets. In this case, we demonstrated the role of circ-NOLC1 in epithelial ovarian cancer (EOC). Our results have shown that Circ-NOLC1 expression was higher in EOC tissues than in normal tissues, and was positively associated with FIGO stage, differentiation. Among ovarian cancer cell lines, circ-NOLC1 expression was the highest in A2780, and lowest in CAOV3. Overexpression of circ-NOLC1 in CAOV3 cells increased cell proliferation, migration, and invasion ability, whereas silencing of circ-NOLC1 in A2780 cells had the opposite effect: however, neither circ-NOLC1 downregulation nor overexpression influenced NOLC1 mRNA expression. In nude mice with subcutaneous tumors, circ-NOLC1 downregulation decreased tumor growth. Bioinformatic analysis and RNA-binding protein immunoprecipitation showed that circ-NOLC1 could bind to ESRP1. In addition, the overexpression of circ-NOLC1 significantly increased ESRP1, RhoA, and CDK1 protein and mRNA expression level; circ-NOLC1 downregulation had the opposite effects. The tumor-promoting effect of circ-NOLC1 was inhibited by knockdown of ESRP1, CDK1, or RhoA expression in circ-NOLC1-overexpressing cells, which might act by modulating RhoA and CDK1 expression. In conclusion, our study demonstrated that Circ-NOLC1 might promote EOC tumorigenesis and development by binding ESRP1 and modulating CDK1 and RhoA expression.
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Affiliation(s)
- Shuo Chen
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Obstetrics and Gynecology, Center for Reproductive Medicine/Department of Fetal Medicine and Prenatal Diagnosis, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Wu Wu
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Qian-Hui Li
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Bu-Min Xie
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Fan Shen
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Yu-Ping Du
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Zhi-Hong Zong
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Obstetrics and Gynecology, Center for Reproductive Medicine/Department of Fetal Medicine and Prenatal Diagnosis, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Li-Li Wang
- Department of Gynecology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Xiao-Qing Wei
- Oral and Biomedical Sciences, School of Dentistry, Cardiff University, CF14 4XY, Cardiff, UK
| | - Yang Zhao
- Department of Gynecologic Oncology Research Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. .,Department of Obstetrics and Gynecology, Center for Reproductive Medicine/Department of Fetal Medicine and Prenatal Diagnosis, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
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Zhang H, Cao X, Wang D, Xin H, Liu Z, Yan J, Feng B, Quan Z, Du Y, Liu J, Guan L, Shen F, Guan X, Jin Q, Pan S, Gao L. The acquisition of Mycobacterium tuberculosis infection in village doctors in China: a prospective study. Int J Tuberc Lung Dis 2020; 24:1241-1246. [PMID: 33317666 DOI: 10.5588/ijtld.20.0153] [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: 11/10/2022] Open
Abstract
BACKGROUND: Occupational exposure-related risk of Mycobacterium tuberculosis infection has been reported for village doctors in China. This prospective study aims to estimate the infection acquisition in this key population.METHODS: At baseline, all village doctors registered in Zhongmu County were tested by QuantiFERON®-TB Gold In-Tube (QFT) and QuantiFERON®-TB Gold Plus (QFT-Plus) in parallel. Those negatives for either of the tests were retested to identify conversions at the 2-year follow-up investigation.RESULTS: A total of 367 eligible participants completed the 2-year follow-up survey with frequency of conversion of 5.0% (18/361) for QFT and 6.1% (21/343) for QFT-Plus. The agreement of follow-up results between the tests was 93.2% with a κ coefficient of 0.43 (95%CI 0.20-0.65). Among QFT-Plus convertors, the difference between TB1 and TB2 tubes (TB2-TB1) was significantly increased as compared with baseline results (P = 0.039). Participants from the villages with occurrence of microbiologically confirmed pulmonary TB showed higher frequency of QFT conversions (11.0% vs. 3.2%, P = 0.011) and QFT-Plus conversions (12.3% vs. 4.4%, P = 0.027) than those from the villages without occurrence.CONCLUSION: Our results consistently suggest that capability on occupational protection and M. tuberculosis infection control should be improved in village doctors in China.
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Affiliation(s)
- H Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - X Cao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - D Wang
- Center for Disease Prevention and Control of Zhongmu County, Zhengzhou
| | - H Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Z Liu
- Center for Disease Prevention and Control of Zhongmu County, Zhengzhou
| | - J Yan
- Center for Disease Prevention and Control of Zhongmu County, Zhengzhou
| | - B Feng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Z Quan
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - Y Du
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - J Liu
- The Sixth People´s Hospital of Zhengzhou, Zhengzhou, China
| | - L Guan
- The Sixth People´s Hospital of Zhengzhou, Zhengzhou, China
| | - F Shen
- The Sixth People´s Hospital of Zhengzhou, Zhengzhou, China
| | - X Guan
- The Sixth People´s Hospital of Zhengzhou, Zhengzhou, China
| | - Q Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - S Pan
- Center for Disease Prevention and Control of Zhongmu County, Zhengzhou
| | - L Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
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44
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Jantuan E, Chiu B, Chiu B, Shen F, Oudit GY, Sergi C. The tumor microenvironment may trigger lymphoproliferation in cardiac myxoma. Transl Oncol 2020; 14:100911. [PMID: 33129111 PMCID: PMC7586245 DOI: 10.1016/j.tranon.2020.100911] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 08/14/2020] [Revised: 10/02/2020] [Accepted: 10/05/2020] [Indexed: 02/06/2023] Open
Abstract
Lymphoproliferative disorders (LPD) in cardiac myxomas (CM) has been occasionally reported, and chronic inflammation in response to viral infection may be the key. CM can upregulate autophagy, creating a favorable environment for Epstein Barr Virus (EBV)-driven oncogenesis. P62 accumulates when autophagy is inhibited, and aberrant excessive p62 may result from autophagy defect, causing oxidative stress and tumorigenesis. NanoString technology is a relatively new method for capturing tumor-immune signaling in tissues exploring how the signaling axis is associated with inflammation.
Cardiac myxomas (CM) and primary cardiac lymphoproliferative disorders (LPD) are rare primary cardiac neoplasms. The composite occurrence of LPD in CM has been occasionally reported, and chronic inflammation in response to viral infection has been suggested to be at the basis of oncogenesis. Cancers can upregulate autophagy to endure microenvironmental stress and to increase local growth and aggressiveness. CM exhibit a dichotomous separation in low and high inflammatory grades (LIG vs. HIG). We studied 23 CMs using autophagy-related proteins and NanoString technology for gene expression. Autophagy-related proteins (Beclin-1, LAMP-1, LC3, and p62) were demonstrated in both tumor and stromal cells. ATG genes showed a progression of involvement in CM using an 8-gene signature. They were associated with Epstein-Barr virus (EBV) encoded latent membrane protein 1 (EBV LMP1) activation. We suggest that CM can upregulate autophagy, creating a favorable environment for EBV-driven oncogenesis. To the best of our knowledge, the present study is the first to report on the TME using the expression of autophagy-related genes and proteins in CM. The microenvironment of CM is dynamic, with a variety of cell types and different molecular pathways at play, and this study may clearly warrant further investigation.
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Affiliation(s)
- Eugeniu Jantuan
- Department of Laboratory Medicine and Pathology, University of Alberta Hospital, 8440-112 Street, Edmonton T6G 2B7, Alberta, Canada
| | - Brian Chiu
- Department of Laboratory Medicine and Pathology, University of Alberta Hospital, 8440-112 Street, Edmonton T6G 2B7, Alberta, Canada
| | - Bonnie Chiu
- Department of Laboratory Medicine and Pathology, University of Alberta Hospital, 8440-112 Street, Edmonton T6G 2B7, Alberta, Canada
| | - Fan Shen
- Department of Laboratory Medicine and Pathology, University of Alberta Hospital, 8440-112 Street, Edmonton T6G 2B7, Alberta, Canada
| | - Gavin Y Oudit
- Department of Medicine, Division of Cardiology, Mazankowski Alberta Heart Institute, Edmonton, AB, Canada
| | - Consolato Sergi
- Department of Laboratory Medicine and Pathology, University of Alberta Hospital, 8440-112 Street, Edmonton T6G 2B7, Alberta, Canada; Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada; National "111″ Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering, Hubei University of Technology, Wuhan, Hubei, China; Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, China.
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45
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Jia YP, Cao GQ, Zhao R, Zhang Y, He LW, Wei YF, Huang L, Li RL, Gao XD, Jia N, Yang C, Shen F. [Interpretation for the group standards in technical specification for health risk investigation of central air conditioning ventilation system during coronavirus disease 2019 epidemic]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1381-1384. [PMID: 33076588 DOI: 10.3760/cma.j.cn112338-20200514-00722] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The central air conditioning ventilation system plays an important role in the air circulation of buildings such as centralized isolation medical observation points and general public buildings. In order to meet the requirements of COVID-19 epidemic prevention and control, Beijing Preventive Medicine Association organized Beijing CDC and other professional institutes to write up the group standard entitled "Technical specification for health risk investigation of central air conditioning ventilation system during the COVID-19 epidemic (T/BPMA 0006-2020)" . According to the particularity of central air conditioning ventilation system risk control during the outbreak of similar respiratory infectious diseases, based on current laws and regulations and the principle of scientific, practical, consistency and normative, 8 key points of risk investigations were summarized, which were the location of fresh air outlet, air conditioning mode, air return mode, air system, air distribution, fresh air volume, exhaust and air conditioner components. The contents, process, method, data analysis and conclusion of the investigation implementation were also defined and unified. It could standardize and guide institutions such as disease control and health supervision to carry out relevant risk managements, and provided solutions and technical supports for such major public health emergencies in city operations.
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Affiliation(s)
- Y P Jia
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - G Q Cao
- China Academy of Building Research, Institute of Building Environment and Energy, Beijing 100013, China
| | - R Zhao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Zhang
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - L W He
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y F Wei
- Chaoyang District Center for Disease Prevention and Control, Beijing 100021, China
| | - L Huang
- Dongcheng District Center for Disease Prevention and Control, Beijing 100036, China
| | - R L Li
- Xicheng District Center for Disease Prevention and Control, Beijing 100029, China
| | - X D Gao
- Beijing Municipal Health Supervision Institute, Beijing 100034, China
| | - N Jia
- Dongcheng District Health Supervision Institute, Beijing 100027, China
| | - C Yang
- Dongcheng District Health Supervision Institute, Beijing 100027, China
| | - F Shen
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
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46
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Wang Q, Liu W, Fan J, Guo J, Shen F, Ma Z, Ruan C, Guo L, Jiang M, Zhao Y. von Willebrand factor promotes platelet-induced metastasis of osteosarcoma through activation of the VWF-GPIb axis. J Bone Oncol 2020; 25:100325. [PMID: 33101888 PMCID: PMC7569326 DOI: 10.1016/j.jbo.2020.100325] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 04/22/2020] [Revised: 09/01/2020] [Accepted: 09/21/2020] [Indexed: 11/25/2022] Open
Abstract
Immunohistochemistry results directly show VWF is increased during tumor progression. VWF is expressed as low molecular weight multimer in OS cell line SAOS2. VWF promotes platelet-induced metastasis of OS through VWF-GPIb pathway.
von Willebrand factor (VWF) is exclusively expressed in endothelial cells (ECs) and megakaryocytes, which plays a crucial role in the initiation of arterial thrombosis. Recent studies have shown that VWF is also expressed in osteosarcoma (OS) cells and participates in adhesion of cancer cells to platelets, thus promoting metastasis of OS cells. However, it is unclear how OS cell-derived VWF-platelet interaction contributes to the metastasis of OS. We hypothesized that the interaction is mediated by the binding between VWF A1 and GPIbα of platelets, a molecular mechanism similar to that of thrombosis. The increased expression of VWF in SAOS2 cells may contribute to the enhancement of platelet adhesion through the VWF-GPIb pathway, which could promote the migration and invasion capacities of SAOS2 cells in vitro. Antibodies that block the pathway could significantly inhibit the platelet-induced metastasis of OS cells. Our results suggest a theoretical basis for the development of new anti-OS metastasis drugs, and further enrich the mechanism of OS metastasis.
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Key Words
- CFSE, 5-(6)-carboxyfluorescein succinimidyl ester
- ECs, Endothelial cells
- ELISA, Enzyme-linked immunosorbent assay
- FBS, Fetal bovine serum
- FITC, Fluorescein isothiocyanate
- GPIb, Glycoprotein Ib
- H&E, Hematoxylin and eosin
- Metastasis
- OS, Osteosarcoma
- Osteosarcoma
- PFA, Paraformaldehyde
- PMA, Phorbol 12-myristate 13-acetate
- Platelet
- UL-VWF, Ultra-large multimer VWF
- VWF
- VWF, von Willebrand factor
- WPB, Weibel-Palade body
- mAb, Monoclonal antibody
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Affiliation(s)
- Q Wang
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Pathology Department, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - W Liu
- Pathology Department, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - J Fan
- Stomatology Department, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - J Guo
- Orthopedics Department, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - F Shen
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - Z Ma
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - C Ruan
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - L Guo
- Pathology Department, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - M Jiang
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - Y Zhao
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis & Hemostasis of Ministry of Health, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.,Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
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Zhou FR, Pan ZP, Shen F, Huang LQ, Cui JH, Cai K, Guo XL. Long noncoding RNA DLX6-AS1 functions as a competing endogenous RNA for miR-577 to promote malignant development of colorectal cancer. Eur Rev Med Pharmacol Sci 2020; 23:3742-3748. [PMID: 31115000 DOI: 10.26355/eurrev_201905_17800] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Recent researches have proved that long noncoding RNAs (lncRNAs) play essential roles in tumorigenesis. The aim of this study was to investigate the exact role of lncRNA DLX6-AS1 in the development of colorectal cancer (CRC), and to explore the possible mechanism. PATIENTS AND METHODS DLX6-AS1 expression in CRC tissues was detected by Real Time-quantitative Polymerase Chain Reaction (RT-qPCR). Function assays were conducted to detect the effect of DLX6-AS1 on the proliferation and metastasis of CRC in vitro. Furthermore, luciferase reporter gene assay and RNA immunoprecipitation assay (RIP) were used to explore the underlying mechanism of DLX6-AS1. RESULTS DLX6-AS1 expression in CRC samples was significantly higher than that of adjacent tissues. Loss of DLX6-AS1 markedly inhibited the proliferation, migration, and invasion of CRC cells. Furthermore, luciferase reporter gene assay and RIP assay showed that DLX6-AS1 acted as a competing endogenous RNA via sponging miR-577 in CRC. CONCLUSIONS DLX6-AS1 could promote the proliferation, migration, and invasion of CRC by sponging miR-577, which might offer a potential therapeutic target for CRC.
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Affiliation(s)
- F-R Zhou
- Department of Anorectal Surgery, Tongde Hospital of Zhejiang Province, Hangzhou, China.
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Tian R, Guo W, Guo Y, Zhang X, Zhu H, Shen F, Zhang X, Wang R, Ren X, Li J, Song X. 1366P Efficacy and safety of apatinib plus EGFR-TKI in advanced non-small cell lung cancer with EGFR-TKI resistance (date updated). Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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49
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Zhou FR, Pan ZP, Shen F, Huang LQ, Cui JH, Cai K, Guo XL. Long noncoding RNA DLX6-AS1 functions as a competing endogenous RNA for miR-577 to promote malignant development of colorectal cancer. Eur Rev Med Pharmacol Sci 2020; 24:7540. [PMID: 32744645 DOI: 10.26355/eurrev_202007_22173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "Long noncoding RNA DLX6-AS1 functions as a competing endogenous RNA for miR-577 to promote malignant development of colorectal cancer, by F.-R. Zhou, Z.-P. Pan, F. Shen, L.-Q. Huang, J.-H. Cui, K. Cai, X.-L. Guo, published in Eur Rev Med Pharmacol Sci 2019; 23 (9): 3742-3748-DOI: 10.26355/eurrev_201905_17800-PMID: 31115000" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/17800.
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Affiliation(s)
- F-R Zhou
- Department of Anorectal Surgery, Tongde Hospital of Zhejiang Province, Hangzhou, China
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50
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Zheng R, Niu J, Wu S, Wang T, Wang S, Xu M, Chen Y, Dai M, Zhang D, Yu X, Tang X, Hu R, Ye Z, Shi L, Su Q, Yan L, Qin G, Wan Q, Chen G, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Xu Y, Li M, Lu J, Wang W, Zhao Z, Xu Y, Bi Y, Ning G. Gender and age differences in the association between sleep characteristics and fasting glucose levels in Chinese adults. Diabetes Metab 2020; 47:101174. [PMID: 32659495 DOI: 10.1016/j.diabet.2020.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/24/2020] [Accepted: 07/01/2020] [Indexed: 01/19/2023]
Abstract
AIM The present study examined the associations between night-time sleep duration, midday napping duration and bedtime, and fasting glucose levels, and whether or not such associations are dependent on gender and age. METHODS This study was a cross-sectional analysis of 172,901 adults aged≥40 years living in mainland China. Sleep duration was obtained by self-reports of bedtime at night, waking-up time the next morning and average napping duration at midday. Fasting plasma glucose (FPG)≥7.0mmol/L was defined as hyperglycaemia. Independent associations between night-time sleep duration, midday naptime duration and bedtime with hyperglycaemia were evaluated using regression models. RESULTS Compared with night-time sleep durations of 6-7.9h, both short (<6h) and long (≥8h) night-time sleep durations were significantly associated with an increased risk of hyperglycaemia in women [odds ratio (OR): 1.12, 95% confidence interval (CI): 1.01-1.29 and OR: 1.14, 95% CI: 1.08-1.21, respectively], and revealed a U-shaped distribution of risk in women and no significant association in men. Long midday nap durations (≥1h) were significantly but weakly associated with hyperglycaemia (OR: 1.04, 95% CI: 1.01-1.09) compared with no napping without interactions from gender or age, whereas the association between bedtime and fasting glucose levels did vary according to gender and age. CONCLUSION Night-time sleep duration, midday napping duration and bedtime were all independently associated with the risk of hyperglycaemia, and some of the associations between these sleep characteristics and hyperglycaemia were gender- and age-dependent.
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Affiliation(s)
- R Zheng
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - J Niu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - S Wu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - T Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - S Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - M Xu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Y Chen
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - M Dai
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - D Zhang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - X Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Tang
- First Hospital of Lanzhou University, Lanzhou, China
| | - R Hu
- Zhejiang Provincial Centre for Disease Control and Prevention, Zhejiang, China
| | - Z Ye
- Zhejiang Provincial Centre for Disease Control and Prevention, Zhejiang, China
| | - L Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Q Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - L Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - G Qin
- First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Q Wan
- Affiliated Hospital of Luzhou Medical College, Luzhou, China
| | - G Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Z Gao
- Dalian Municipal Central Hospital, Dalian Medical University, Dalian, China
| | - G Wang
- First Hospital of Jilin University, Changchun, China
| | - F Shen
- First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Z Luo
- First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Y Qin
- First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Y Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Q Li
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Y Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - C Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Y Wang
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - S Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - T Yang
- First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - H Deng
- First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - L Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Y Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Y Xu
- Clinical Trials Centre, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - J Lu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - W Wang
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
| | - Z Zhao
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - Y Xu
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - Y Bi
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China.
| | - G Ning
- Shanghai National Clinical Research Centre for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin 2nd Road, Shanghai 200025, China
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