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Wang Y, Hong X, Cao W, Lv J, Yu C, Huang T, Sun D, Liao C, Pang Y, Pang Z, Yu M, Wang H, Wu X, Liu Y, Gao W, Li L. Age effect on the shared etiology of glycemic traits and serum lipids: evidence from a Chinese twin study. J Endocrinol Invest 2024; 47:535-546. [PMID: 37524979 DOI: 10.1007/s40618-023-02164-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/24/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE Diabetes and dyslipidemia are among the most common chronic diseases with increasing global disease burdens, and they frequently occur together. The study aimed to investigate differences in the heritability of glycemic traits and serum lipid indicators and differences in overlapping genetic and environmental influences between them across age groups. METHODS This study included 1189 twin pairs from the Chinese National Twin Registry and divided them into three groups: aged ≤ 40, 41-50, and > 50 years old. Univariate and bivariate structural equation models (SEMs) were conducted on glycemic indicators and serum lipid indicators, including blood glucose (GLU), glycated hemoglobin A1c (HbA1c), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), in the total sample and three age groups. RESULTS All phenotypes showed moderate to high heritability (0.37-0.64). The heritability of HbA1c demonstrated a downward trend with age (HbA1c: 0.50-0.79), while others remained relatively stable (GLU: 0.55-0.62, TC: 0.58-0.66, TG: 0.50-0.63, LDL-C: 0.24-0.58, HDL-C: 0.31-0.57). The bivariate SEMs demonstrated that GLU and HbA1c were correlated with each serum lipid indicator (0.10-0.17), except HDL-C. Except for HbA1c and LDL-C, as well as HbA1c and HDL-C, differences in genetic correlations underlying glycemic traits and serum lipids between age groups were observed, with the youngest group showing a significantly higher genetic correlation than the oldest group. CONCLUSION Across the whole adulthood, genetic influences were consistently important for GLU, TC, TG, LDL-C and HDL-C, and age may affect the shared genetic influences between glycemic traits and serum lipids. Further studies are needed to elucidate the role of age in the interactions of genes related to glycemic traits and serum lipids.
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Affiliation(s)
- Y Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - X Hong
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - W Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - J Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - C Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - T Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - D Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - C Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Y Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Z Pang
- Qingdao Center for Disease Control and Prevention, Qingdao, China
| | - M Yu
- Zhejiang Center for Disease Control and Prevention, Hangzhou, China
| | - H Wang
- Jiangsu Center for Disease Control and Prevention, Nanjing, China
| | - X Wu
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Y Liu
- Heilongjiang Center for Disease Control and Prevention, Harbin, China
| | - W Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - L Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
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Hu W, Cheng B, Su L, Lv J, Zhu J. Uric acid is negatively associated with cognition in the first- episode of schizophrenia. Encephale 2024; 50:54-58. [PMID: 36907671 DOI: 10.1016/j.encep.2023.01.006] [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: 08/29/2022] [Revised: 12/14/2022] [Accepted: 01/10/2023] [Indexed: 03/12/2023]
Abstract
BACKGROUND We explored the relationship between levels of serum uric acid (UA) and cognitive impairment in people with schizophrenia to order to better protect and improve cognitive function in such patients. METHODS A uricase method evaluated serum UA levels in 82 individuals with first-episode schizophrenia and in 39 healthy controls. The Brief Psychiatric Rating Scale (BPRS) and the event-related potential P300 were used to assess the patient's psychiatric symptoms and cognitive functioning. The link between serum UA levels, BPRS scores, and P300 was investigated. RESULTS Prior to treatment, serum UA levels and latency N3 in the study group were significantly higher than in the control group, whereas the amplitude P3 was considerably lower. After therapy, the study group's BPRS scores, serum UA levels, latency N3, and amplitude P3 were lower than before treatment. According to correlation analysis, serum UA levels in the pre-treatment study group significantly positively correlated with BPRS score and latency N3 but not amplitude P3. After therapy, serum UA levels were no longer substantially related to the BPRS score or amplitude P3 but strongly and positively correlated with latency N3. CONCLUSIONS First-episode schizophrenia patients have higher serum UA levels than the general population which partly reflects poor cognitive performance. Improving patients' cognitive function may be facilitated by lowering serum UA levels.
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Affiliation(s)
- W Hu
- Department of Psychiatry, The Affiliated Xuzhou Eastern Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Key Laboratory of Brain Diseases Bioinformation (Xuzhou Medical University), Xuzhou, Jiangsu, China; The Key Lab of Psychiatry, Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - B Cheng
- Department of Psychiatry, The Affiliated Xuzhou Eastern Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Key Laboratory of Brain Diseases Bioinformation (Xuzhou Medical University), Xuzhou, Jiangsu, China; The Key Lab of Psychiatry, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - L Su
- Yangzhou Sida Health Consulting Co., LTD, Yangzhou, Jiangsu, China
| | - J Lv
- Department of Psychiatry, The Affiliated Xuzhou Eastern Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - J Zhu
- Department of Psychiatry, The Affiliated Xuzhou Eastern Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Key Laboratory of Brain Diseases Bioinformation (Xuzhou Medical University), Xuzhou, Jiangsu, China; The Key Lab of Psychiatry, Xuzhou Medical University, Xuzhou, Jiangsu, China.
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Cui Y, Lv J, Hu X, Zhu D. Health insurance as a moderator in the relationship between financial toxicity and medical cost-coping behaviors: Evidence from patients with lung cancer in China. Cancer Med 2024; 13:e6911. [PMID: 38168130 PMCID: PMC10807627 DOI: 10.1002/cam4.6911] [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: 06/09/2023] [Revised: 11/05/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVE This study investigates the relationship between financial toxicity and medical cost-coping behaviors (MCCB) in Chinese patients with lung cancer, with a particular focus on the moderating role of health insurance. METHODS We surveyed 218 patients with lung cancer and assessed their Comprehensive Score for Financial Toxicity (COST) and self-reported MCCB. Patients were categorized into Urban Employee's Basic Medical Insurance (UEBMI) group and Urban-Rural Resident Basic Medical Insurance Scheme (URRBMI) groups by their medical insurance, and matched for socioeconomic, demographic, and disease characteristics via propensity score. RESULTS Significant different characteristics were noted between UEBMI patients and URRBMI patients. Patients with UEBMI had higher COST scores but lower levels of MCCB compared to URRBMI patients in the original dataset. After data matching, multivariate logit regression analysis showed that better financial toxicity was associated with lower levels of MCCB (OR = 0.95, 95% CI: 0.92-0.99). Health insurance type did not have a direct association with cost-coping behaviors, but an interaction was observed between health insurance type and financial toxicity. Among patients with URRBMI, better financial toxicity was associated with lower levels of cost-coping behaviors (OR = 0.89, 95% CI: 0.83-0.95). Patients with UEBMI had a lower probability of engaging in any cost-coping behaviors in situations of worse financial toxicity compared to patients with URRBMI. CONCLUSION The findings suggest that financial toxicity is correlated with MCCB in Chinese patients with lung cancer. The type of health insurance, specifically UEBMI and URRBMI, plays a moderating role in this relationship. Understanding these dynamics is essential for developing targeted interventions and policies to mitigate financial toxicity and improve patients' management of medical costs.
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Affiliation(s)
- Yongchun Cui
- Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Jingjing Lv
- Expanded Program Immunization Division of Shandong Provincial Center for Disease Control and PreventionShandong Provincial Key Laboratory of Infectious Disease Control and PreventionJinanChina
- School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Xiaoyu Hu
- Shandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Dawei Zhu
- China Center for Health Development StudiesPeking UniversityBeijingChina
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Sun D, Yu D, Du Z, Jia N, Liu X, Sun J, Xu Q, Sun Z, Luan C, Lv J, Xiong P, Zhang L, Sha X, Gao Y, Kang D. Immunogenicity and safety of a live attenuated varicella vaccine co-administered with inactive hepatitis A vaccine: A phase 4, single-center, randomized, controlled trial. Hum Vaccin Immunother 2023; 19:2161789. [PMID: 36593652 PMCID: PMC9936993 DOI: 10.1080/21645515.2022.2161789] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Co-administration of vaccines can facilitate the introduction of new vaccines in immunization schedules. This study aimed to evaluate the immunogenicity and safety of co-administration with live attenuated varicella vaccine (VarV) and inactivated hepatitis A vaccine (HepA) among children aged 12 ~ 15 months. In this phase 4 clinical trial, 450 children were randomized with a ratio of 1:1 to receive VarV and Hep A simultaneously (Group A) or separately (Group B). The primary endpoints were the seroconversion rate of anti-varicella-zoster virus (VZV) antibodies 42 days after vaccination of VarV and the seroconversion rate of anti-Hepatitis A virus (HAV) antibodies 30 days after two-dose vaccination of HepA. After full immunization, the seroconversion rates of anti-VZV antibodies were 91.79% in Group A and 92.15% in Group B; the geometric mean titers (GMTs) were 11.80 and 12.19, respectively. The seroconversion rates of anti-HAV antibodies were 99.48% in Group A and 100.0% in Group B; the geometric mean concentrations (GMCs) reached 9499.11 and 9528.36 mIU/ml, respectively. The lower limits of the 95% CI for the seroconversion difference of anti-VZV antibodies and anti-HAV antibodies were -5.86% and -2.90%, which greater than the predefined non-inferiority margin (-10%). The incidence rate of adverse reactions in Group A was lower than Group B (9.33% vs 16.22%), and only one serious adverse event was reported in Group B, which was unrelated to the study vaccine. In conclusion, the co-administration of VarV with HepA has non-inferior immunogenicity and safety profiles were quite comparable with the separate administration of both vaccines.Trial registration number: NCT05526820 (ClinicalTrials.gov).
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Affiliation(s)
- Dapeng Sun
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Dan Yu
- Medical Affairs Department, Sinovac Biotech Co., Ltd, Beijing, China
| | - Zhenhua Du
- Department Of Immunology, FeiCheng Center for Disease Control and Prevention, Taian, China
| | - Ningning Jia
- Medical Affairs Department, Sinovac Biotech Co., Ltd, Beijing, China
| | - Xiaodong Liu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Jianwen Sun
- Medical Affairs Department, Sinovac Life Science Co, Ltd, Beijing, China
| | - Qing Xu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zhuoqun Sun
- Medical Affairs Department, Sinovac Life Science Co, Ltd, Beijing, China
| | - Chunfang Luan
- Research and Development Department, Sinovac (Dalian) Vaccine Technology Co., Ltd, Dalian, China
| | - Jingjing Lv
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Ping Xiong
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Li Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China,School of Public Health, Shandong University, Jinan, China
| | - Xueyan Sha
- Research and Development Department, Sinovac (Dalian) Vaccine Technology Co., Ltd, Dalian, China
| | - Yongjun Gao
- Medical Affairs Department, Sinovac Biotech Co., Ltd, Beijing, China,CONTACT Yongjun Gao Medical Affairs Department, Sinovac Biotech Co., Ltd, No.8 Dongbeiwang West Road, Haidian District, Beijing, China
| | - Dianmin Kang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China,School of Public Health, Shandong University, Jinan, China
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Ma T, Meng Z, Ghaffari M, Lv J, Xin H, Zhao Q. Characterization and profiling of the microRNA in small extracellular vesicles isolated from goat milk samples collected during the first week postpartum. JDS Commun 2023; 4:507-512. [PMID: 38045901 PMCID: PMC10692291 DOI: 10.3168/jdsc.2022-0369] [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] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 04/06/2023] [Indexed: 12/05/2023]
Abstract
Colostrum contains nutrients, immunoglobulins, and various bioactive compounds such as microRNA (miRNA). Less is known about the temporal changes in miRNA profiles in ruminant milk samples during the first week postpartum. In this study, we characterized and compared the profiles of miRNA in the small extracellular vesicles (sEV) isolated from colostrum (CM, collected immediately after parturition, n = 8) and transition milk (TM, collected 7 d postpartum, n = 8) from eight 1-yr-old Guanzhong dairy goats with a milk yield of approximately 500 kg/year. A total of 192 unique sEV-associated miRNA (transcripts per million >1 at least 4 samples in either CM or TM) were identified in all samples. There were 29 miRNA uniquely identified in the TM samples while no miRNA was uniquely identified in the CM samples. The abundance of the top 10 miRNA accounted for 82.4% ± 4.0% (± SD) of the total abundance, with let-7 families (e.g., let-7a/b/c-5p) being predominant in all samples. The top 10 miRNA were predicted to target 1,008 unique genes that may regulate pathways such as focal adhesion, TGF-β signaling, and axon guidance. The expression patterns of EV miRNA were similar between the 2 sample groups, although the abundance of let-7c-5p and miR-30a-3p was higher, whereas that of let-7i-5p and miR-103-3p was lower in CM than in TM. In conclusion, the core miRNAome identified in the samples from CM and TM may play an important role in cell proliferation, bone homeostasis, and neuronal network formation in newborn goat kids. The lack of differential miRNA expression between the CM and TM samples may be due to a relatively short sampling interval in which diet composition, intake and health status of ewes, and environment were relatively stable.
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Affiliation(s)
- T. Ma
- Institute of Feed Research, Key Laboratory of Feed Biotechnology of the Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Z. Meng
- Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot, 010030, China
| | - M.H. Ghaffari
- Institute of Animal Science, University of Bonn, Bonn, 53115, Germany
| | - J. Lv
- College of Animal Sciences and Technology, Northeast Agricultural University, Harbin, 150030, China
| | - H. Xin
- College of Animal Sciences and Technology, Northeast Agricultural University, Harbin, 150030, China
| | - Q. Zhao
- Inner Mongolia Academy of Agriculture and Animal Husbandry Sciences, Hohhot, 010030, China
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Bao Y, Men Y, Yang X, Sun S, Yuan M, Ma Z, Liu Y, Wang J, Deng L, Wang W, Zhai Y, Bi N, Lv J, Liang J, Feng Q, Chen D, Xiao Z, Zhou Z, Wang L, Hui Z. Efficacy of Postoperative Radiotherapy for Patients with New N2 Descriptors of Subclassification in Completely Resected Non-Small Cell Lung Cancer: A Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:e5. [PMID: 37785570 DOI: 10.1016/j.ijrobp.2023.06.657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients with N2 non-small cell lung cancer (NSCLC) were heterogeneous groups and required further stratification. The International Society for the Study of Lung Cancer (IASLC) added new descriptors of three sub-stages for stage N2 NSCLC: N2 at a single station without N1 involvement (N2a1), N2 at a single station with N1 involvement (N2a2), and N2 at multiple stations (N2b). This study aimed to investigate the efficacy of postoperative radiotherapy (PORT) for patients with these N2 descriptors. MATERIALS/METHODS Patients with histologically confirmed NSCLC after complete resection and divided into PORT group and non-PORT group. The primary endpoint was DFS. The second endpoints were overall survival (OS) and locoregional recurrence-free survival (LRFS). Propensity-score matching (PSM) of baseline characteristics between the PORT and non-PORT groups was used for validation. RESULTS Totally 1832 patients were enrolled, including 308 N2a1 patients, 682 N2a2 patients, and 842 N2b patients. The median follow-up time was 50.1 months. The survival outcomes of the PORT and non-PORT groups before PSM were shown in Table 1. For patients with N2a1, PORT could not improve the DFS (median DFS of the PORT group and the non-PORT group: not reached vs. 46.8 months, P = 0.41), OS (P = 0.85), or LRFS (P = 0.32), which were consistent with the multivariate analysis and data after the PSM. For patients with N2a2, PORT significantly improved the DFS (median DFS 29.7 vs. 22.2 months, P = 0.02), OS (P = 0.03), and LRFS (P = 0.01). The multivariate analysis and data after the PSM confirmed the benefits in DFS and LRFS, but no benefit was observed in OS (multivariate analysis: HR 0.79, P = 0.18; median OS after PSM: 103.7 vs. 63.1 months, P = 0.34). For patients with N2b, PORT could not improve the DFS (median DFS 20.6 vs. 21.2 months, P = 0.39) but significantly improved the OS (P<0.001) and LRFS (P<0.001). However, the multivariate analysis showed that PORT significantly improved DFS (HR 0.81, P = 0.03), consistent with the data after the PSM (median DFS 20.6 and 17.6 months, P = 0.04). CONCLUSION PORT significantly improved the DFS and LRFS in patients with N2a2 and significantly improved the DFS, LRFS, and OS in patients with N2b. Patients with N2a1 could not benefit from PORT.
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Affiliation(s)
- Y Bao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Men
- Department of VIP Medical Services & Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Yang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Sun
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - M Yuan
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Ma
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - L Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - W Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Zhai
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - L Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China, Shenzhen, China
| | - Z Hui
- Department of VIP Medical Services & Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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7
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Yu N, Li J, Chen X, Wang Z, Kang X, Zhang R, Qin J, Zheng Q, Feng G, Deng L, Zhang T, Wang W, Liu W, Wang J, Feng Q, Lv J, Chen D, Zhou Z, Xiao Z, Li Y, Bi N, Li Y, Wang X. Chemoradiotherapy Combined with Nab-Paclitaxel plus Cisplatin in Patients with Locally Advanced Borderline Resectable or Unresectable Esophageal Squamous Cell Carcinoma: A Phase I/II Study. Int J Radiat Oncol Biol Phys 2023; 117:e354. [PMID: 37785224 DOI: 10.1016/j.ijrobp.2023.06.2433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the efficacy and safety of nanoparticle albumin-bound paclitaxel (nab-PTX) plus cisplatin as the regimen of conversional chemoradiotherapy (cCRT) in locally advanced borderline resectable or unresectable esophageal squamous cell carcinoma (ESCC). MATERIALS/METHODS Patients with locally advanced ESCC (cT3-4, Nany, M0-1, M1 was limited to lymph node metastasis in the supraclavicular area) were enrolled. All the patients received the cCRT of nab-PTX plus cisplatin. After the cCRT, those resectable patients received esophagectomy; those unresectable patients continued to receive the definitive chemoradiotherapy (dCRT). The locoregional control (LRC), overall survival (OS), progression-free survival (PFS), distant metastasis free survival (DMFS), pathological complete response (pCR), R0 resection rate and adverse events (AEs) were calculated. RESULTS A total of 45 patients with ESCC treated from October 2019 to May 2021 were finally included. The median follow-up time was 30.3 months. The LRC, OS, EFS, DMFS at 1and 2 years were 81.5%, 86.6%, 64.3%, 73.2% and 72.4%, 68.8%, 44.8%, 52.7% respectively. 21 patients (46.7%) received conversional chemoradiotherapy plus surgery (cCRT+S). The pCR rate and R0 resection rate were 47.6% and 84.0%. The LRC rate at 1 and 2 years were 95.0%, 87.1% in cCRT+S patients and 69.3%, 58.7% in dCRT patients respectively (HR, 5.14; 95% CI, 1.10-23.94; P = 0.021). The OS rate at 1 and 2 years were 95.2% and 84.2% in resectable patients compared to 78.8% and 54.4% in unresectable patients (HR, 3.41; 95% CI, 1.10-10.61; P = 0.024). The toxicities during chemoradiotherapy were tolerated, the most common grade 3-4 toxicities were radiation esophagitis (15.6%). CONCLUSION Nab-PTX plus cisplatin were effective and safe as the regimen of conversional chemoradiotherapy of ESCC. The patients receiving conversional chemoradiotherapy plus surgery (cCRT+S) were prone to have a better survival.
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Affiliation(s)
- N Yu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Chen
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Kang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Qin
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - G Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - T Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - W Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Q Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Z Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Lv J. Dose Rate Assessment of Spot-Scanning Very High Energy Electrons FLASH Radiotherapy Driven by Laser Plasma Acceleration. Int J Radiat Oncol Biol Phys 2023; 117:e692. [PMID: 37786033 DOI: 10.1016/j.ijrobp.2023.06.2167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study assesses the dose rate delivered by the spot-scanning VHEE beams generated by laser plasma acceleration and discusses the feasibility and beam requirements for FLASH-RT. MATERIALS/METHODS Different types of dose rate metrics (averaged-dose-rate (ADR), dose-averaged dose rate (DADR), and dose-threshold dose rate (DTDR)) in the spot-scanning situation are considered. Theoretical analysis and Monte Carlo simulations are performed to quantify the dose rate distribution for the water phantom and investigate the influence of beam parameters. All the beam parameters are derived from the experimental results. RESULTS At a much lower pulse repetition rate of 5 Hz, ADR can only reach a dose rate at the magnitude of 10^-1 Gy/s, and the FLASH-RT dose rate (40 Gy/s) could be reached when the high-power laser's working repetition rate is kilo-Hertz. Different from ADR, DADR and DTDR are independent of the scanning path, and they can reach the ultra-high dose rate even exceeding 10^14 Gy/s. Meanwhile, the ultrashort electron bunch can be stretched during the scattering in the water, resulting in the dependence of DADR and DTDR on the penetration depth. DADR decreases exponentially from 10^14 Gy/s at the surface to 10^11 Gy/s at 15 cm depth. Both the charge per shot and angular spread are important parameters in the dose rate calculation. The distinct results among these 3 dose rate metrics are due to their correlations with the averaged beam current and instantaneous current. CONCLUSION This study explored the practical beam parameters for preclinical use and provided guidance in designing LPA for the future spot-scanning VHEE FLASH-RT.
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Affiliation(s)
- J Lv
- Peking University, Beijing, China
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9
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Zhang C, Zhou Z, Deng L, Bi N, Wang W, Xiao Z, Wang J, Jr WL, Wang X, Zhang T, Lv J. Clinical Outcomes with Thoracic Radiotherapy for Extensive-Stage Small-Cell Lung Cancer in the Era of Immunotherapy: A Retrospective Analysis. Int J Radiat Oncol Biol Phys 2023; 117:e80. [PMID: 37786186 DOI: 10.1016/j.ijrobp.2023.06.825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Chemo-immunotherapy has shown significant benefits for extensive-stage small-cell lung cancer (ES-SCLC), which prolonged overall survival (OS) of nearly 2-4.5 months compared with platinum-based chemotherapy alone. However, thoracic radiotherapy (TRT), was not allowed to be used in previous trials. This retrospective study aimed to evaluate the safety and efficiency of TRT for ES-SCLC patients in the era of Immunotherapy. MATERIALS/METHODS We retrospectively reviewed ES-SCLC patients treated with chemo-immunotherapy between 2017 and 2021 in our center. Patients who accepted consolidative or salvage TRT were included. The overall survival, progression-free survival (PFS), local progression-free survival (LPFS), and distant progression free-survival (DPFS) were calculated using the Kaplan-Meier method. Toxicity was recorded based on CTCAE 5.0 scale. RESULTS We finally enrolled 30 patients in our study. The median follow-up time was 26.0 months (95% confidence interval, 18.2-33.8 months). 26(86.7%) patients have undergone first-line chemotherapy and immunotherapy, while 4(13.3%) have undergone immunotherapy as a second-line agent. 23(76.6%) patients achieved CR/PR/SD to initial systematic therapy. All patients were treated with TRT with a median dose of 51 Gy (24-60.2 Gy). The median interval between TRT and immunotherapy was 35 days. Median OS was 26 months (95% confidence interval, 17.8-34.2 months) and median PFS was 8 months (95% confidence interval, 5.3-10.7 months). 2-year OS, PFS, and DPFS were 51.4%, 21.4%, and 27.4%, respectively. 18 months LPFS was 59.6%. There was no ≥ G3 radiation-related adverse event except 2(6.7%) G3 esophagitis. G1-2 pneumonitis was reported in 8(26.7%) patients. CONCLUSION TRT is well-tolerated and effective for selected ES-SCLC patients in the modern era of immunotherapy. Prospective trials are still needed to further evaluate the combination of TRT and immunotherapy for patients with ES-SCLC.
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Affiliation(s)
- C Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - L Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - W Liu Jr
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - T Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, China
| | - J Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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10
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Lv J, Li T, Bai HS, Kuang H, Jia H, Li C, Liang L. Prognostic Significance of Serum Lipids in Patients with Non-Small Cell Lung Cancer Treated with Radiotherapy: A Multicenter Prospective Study. Int J Radiat Oncol Biol Phys 2023; 117:e40. [PMID: 37785336 DOI: 10.1016/j.ijrobp.2023.06.735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Although lipids have been assessed for their possible roles in cancer survival prediction, studies on the association between serum lipids levels and the prognosis of non-small cell lung cancer (NSCLC) patients are limited. This study aimed to evaluate whether serum lipids are associated with outcomes in patients with NSCLC treated with radiotherapy. MATERIALS/METHODS We conducted a multicenter prospective study on patients diagnosed with NSCLC between January 2018 and February 2021. Participants received thoracic radiotherapy of 60ཞ80 Gy to the primary lung tumor and positive lymph node metastases. We measured patients' serum lipids levels (serum triglyceride, TGs; total cholesterol, TC, high density lipoprotein cholesterol, HDL-C; low density lipoprotein cholesterol, LDL-C) before radiotherapy. The association between serum lipids levels and overall survival (OS) was evaluated using hazard ratios. We sought to determine a threshold point using optimal stratification. Survival analysis was performed using Kaplan-Meier curves. RESULTS Of the 300 participants diagnosed with NSCLC treated with radiotherapy, 165 (55.0%) were men. Median follow-up time was 24.4 months (range 1.0- 101.9 months). Using univariate and multivariate Cox proportional hazard analysis, among those serum lipids, only serum TG was shown to be independent prognostic factors for OS (hazard ratio: 1.203, 95% confidence interval: 1.038 - 1.393, p = 0.014). The cut-off for TG associated with OS was 2.04 mmol/L. Based on the TG cut-off value, 55 NSCLC patients were categorized into the high TG group (>2.04 mmol/L) and 245 in the low TG group (<2.04 mmol/L). The NSCLC patients in the low TG group exhibited higher OS than the high group (median OS, not reach vs 41.4 months, p = 0.025). CONCLUSION TG levels were found to be a significant negative prognostic biomarker for OS in NSCLC patients treated with radiotherapy.
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Affiliation(s)
- J Lv
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - T Li
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
| | - H S Bai
- Cancer Center Hospital of University of Electronic Science, Chengdu, China
| | - H Kuang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - H Jia
- Sichuan Cancer Hospital, Chengdu, China
| | - C Li
- Sichuan Cancer Hospital, Chengdu, China
| | - L Liang
- Sichuan Cancer Hospital Institute/Sichuan Cancer Center/School of Medicine, University of Electronic Science and Technology of China, Chengdu, China, Chengdu, China
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Xiao L, Lv J, Li T. Promoting the Anti-Tumor Activity of Radiotherapy on Lung Cancer through a Modified Ketogenic Diet and the AMPK Signaling Pathway. Int J Radiat Oncol Biol Phys 2023; 117:e268-e269. [PMID: 37785016 DOI: 10.1016/j.ijrobp.2023.06.1232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Taking advantage of the characteristics of high metabolic heterogeneity of tumor cells, the modified ketogenic diet (KD) combined with radiotherapy was used to investigate and analyze the radiosensitivity of a lung cancer model from the perspective of energy metabolism. MATERIALS/METHODS Different concentrations of glucose and βhydroxybutyrate (βHB) were used at the cellular level to simulate the level of ketone bodies. A cell counting kit was used to detect the effect of different concentrations of glucose (2.78mM, 5.56mM, 12.5mM, and 25mM) and βHB (0mM, 5mM, and 10mM) combined with radiotherapy on the proliferation of LLC cells. Flow cytometry was used to detect tumor cell cycle and apoptosis. Immunofluorescence was used to detect the expression of γH2AX, a DNA damage marker, and western blot was used to detect the expression of AMPK and ρ-AMPK. At the animal level, C57BL/6J female mice were used to establish a transplanted tumor model of lung cancer, and fed with different fat ratio diets combined with radiotherapy. The volume, tumor size, blood glucose level, blood ketone level, survival time and safety of the mice were monitored and observed. RESULTS The LLC cells were treated with different concentrations of glucose and βHB. The results showed that the survival rate of LLC cells decreased significantly with the increase of irradiation dose when the glucose concentration was 5.56mM and 2.78mM; However, the survival rate of cells in low glucose medium added with βHB was significantly lower than that of the control group, and the survival rate of LLC decreased significantly with the extension of culture time after irradiation (p < 0.001). After irradiation, LG (low glucose) group, LG+βHB 5mM group and LG+βHB 10mM group had a significantly higher proportion of G2 phase, and a significantly higher proportion of early and late phase than the control group. γH2AX foci were detected in LG group, LG +βHB 5mM group and LG +βHB 10mM group at 2h and 24h after radiotherapy, which were significantly higher than those in the control group (p < 0.05). The median survival time was 38 days in the PT group, 55 days in the PT+RT group, 41 days in the 45F group, and not reached in the 45F+RT group. HE staining showed no tumor metastasis and toxic side effects in liver and kidney. The expression of ρ-AMPK/AMPK in the combined treatment group was higher than that in the other groups. The expression of ρ-AMPK/AMPK in RT, 45F and combined treatment group was higher than that in PT group. The expression of ρ-AMPK/AMPK in RT group was higher than that in 45F group, and the difference was statistically significant (p < 0.01). CONCLUSION Modified ketogenic diet can enhance the anti-tumor effect of radiotherapy in LLC tumor-bearing mice by reducing glucose and increasing the energy supply ratio from fat.
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Affiliation(s)
- L Xiao
- School of Medicine, University of Electronic Science and Technology of China Cancer Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - J Lv
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - T Li
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
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DA R, Zhou Y, Cheng Y, Lv J, Han B. [UhpT E350Q mutation along with the presence of fosA6/5 genes in the genome probably contributes to inherent fosfomycin resistance of Klebsiella pneumoniae]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1110-1115. [PMID: 37488793 PMCID: PMC10366525 DOI: 10.12122/j.issn.1673-4254.2023.07.07] [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: 07/26/2023]
Abstract
OBJECTIVE To investigate the molecular mechanism underlying inherent fosfomycin resistance of Klebsiella pneumoniae (K. pneumoniae). METHODS The draft genomic sequences of 14 clinical hypervirulent/hypermucoviscous K. pneumoniae (HvKP/ HmKP) isolates were obtained using the next-generation sequencing technology. The genomic sequences were analyzed using the Resistance Gene Identifier (RGI) software for predicting the resistome based on homology and SNP models in the Comprehensive Antibiotic Resistance Database (CARD) and for identification of the presence of phosphomycin resistancerelated genes uhpt and fosA and their mutations in the bacterial genomes. The results were verified by analyzing a total of 521 full-length genomic sequences of K. pneumonia strains obtained from GenBank. RESULTS All the 14 clinical isolates of HvKP/ HmKP carried hexose phosphate transporter (UhpT) gene mutation, in which the glutamic acid was mutated to glutamine at 350aa (UhpTE350Q mutation); the presence of fosA6 gene was detected in 12 (85.71%) of the isolates and fosA5 gene was detected in the other 2 (14.29%) isolates. Analysis of the genomic sequences of 521 K. pneumonia strains from GenBank showed that 508 (97.50%) strains carried UhpTE350Q mutation, 439 (84.26%) strains harbored fosA6, and 80 (15.36%) strains harbored fosA5; 507 (97.31%) strains were found to have both UhpTE350Q mutation and fosA6/5 genes in the genome. Only 12 (2.30%) strains carried fosA6/5 genes without UhpTE350Q mutation; 1 (0.19%) strain had only UhpTE350Q mutation without fosA6/5 genes, and another strain contained neither UhpTE350Q mutation nor fosA6/5 genes. CONCLUSION UhpTE350Q mutation with the presence of fosA6/5 genes are ubiquitous in K. pneumonia genomes, indicating a possible intrinsic mechanism of fosfomycin resistance in the bacterium to limit the use of fosfomycin against infections caused by K. pneumoniae, especially the multi-resistant HvKP/HmKP strains.
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Affiliation(s)
- R DA
- Department of Clinical Laboratory, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Y Zhou
- School of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an 710061, China
| | - Y Cheng
- School of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an 710061, China
| | - J Lv
- School of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an 710061, China
| | - B Han
- School of Public Health, Health Science Center of Xi'an Jiaotong University, Xi'an 710061, China
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Xu Q, Lu X, Liu X, Zhao Y, Sun D, Cao Q, Liu H, Yang T, Song Y, Lv J, Xiong P, Li J, Sun J, Xie M, Gao Y, Zhang L. Effect of an inactivated coronavirus disease 2019 vaccine, CoronaVac, on blood coagulation and glucose: a randomized, controlled, open-label phase IV clinical trial. Front Immunol 2023; 14:1122651. [PMID: 37325662 PMCID: PMC10265469 DOI: 10.3389/fimmu.2023.1122651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/02/2023] [Indexed: 06/17/2023] Open
Abstract
Background Billions of doses of coronavirus disease 2019 (COVID-19) vaccines have been administered and several cases of thrombocytopenia with thrombosis syndrome (TTS) have been reported after the administration of adenoviral vector vaccines. However, the effects of an inactivated COVID-19 vaccine, CoronaVac, on coagulation are not well understood. Methods In this randomized, controlled, open-label phase IV clinical trial, 270 participants including 135 adults aged 18-59 years and 135 adults aged 60 years or older, were enrolled and randomized to the CoronaVac group or to the control group in a 2:1 ratio and received two doses of CoronaVac or one dose of the 23-valent pneumococcal polysaccharide vaccine and one dose of inactivated hepatitis A vaccine on days 0 and 28, respectively. Adverse events were collected for 28 days after each dose. Blood samples were taken on days 0, 4, 14, 28, 32, 42, and 56 after the first dose to evaluate neutralizing antibody titers and laboratory parameters of coagulation function and blood glucose. Results Fourteen days after the second dose of CoronaVac, the seroconversion rates of neutralizing antibodies against the prototype strain and beta, gamma, and delta variants of concern (VOC) of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) reached peak values of 89.31%, 23.3%, 45.3%, and 53.5%, respectively. The incidence of adverse reactions was 43.6% and 52.2% in the CoronaVac group and in the control group, respectively. All were mild or moderate in severity. For the laboratory parameters, there was no difference in the means of any parameter between the two groups at any time point, except for the D-dimer on day 14. However, the D-dimer in the CoronaVac group decreased on day 14 compared to the value at baseline, while a higher D-dimer value, instead of a decreased D-dimer value, was a risk factor for TTS. Conclusion CoronaVac showed a good safety profile and could induce a humoral response against the prototype and VOCs of SARS-CoV-2 in adults 18 years or older, with no abnormal effects on laboratory parameters of blood glucose and coagulation function.
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Affiliation(s)
- Qing Xu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xi Lu
- Medical Affairs Department, Sinovac Biotech Co., Ltd., Beijing, China
| | - Xiaodong Liu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yanwei Zhao
- Medical Affairs Department, Sinovac Life Sciences Co., Ltd., Beijing, China
| | - Dapeng Sun
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Qingfan Cao
- Immunization Program Department, Rushan City Center for Disease Control and Prevention, Rushan, Shandong, China
| | - Haidong Liu
- Immunization Program Department, Rushan City Center for Disease Control and Prevention, Rushan, Shandong, China
| | - Tuantuan Yang
- Medical Affairs Department, Sinovac Biotech Co., Ltd., Beijing, China
| | - Yufei Song
- Medical Affairs Department, Sinovac Biotech Co., Ltd., Beijing, China
| | - Jingjing Lv
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Ping Xiong
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Jing Li
- Medical Affairs Department, Sinovac Life Sciences Co., Ltd., Beijing, China
| | - Jianwen Sun
- Medical Affairs Department, Sinovac Life Sciences Co., Ltd., Beijing, China
| | - Meng Xie
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Yongjun Gao
- Medical Affairs Department, Sinovac Biotech Co., Ltd., Beijing, China
| | - Li Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- School of Public Health, Shandong University, Jinan, Shandong, China
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Liu S, Zhang S, Chen H, Zhou P, Yang T, Lv J, Li H, Wang Y. Changes in the salivary metabolome in patients with chronic erosive gastritis. BMC Gastroenterol 2023; 23:161. [PMID: 37208605 DOI: 10.1186/s12876-023-02803-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 05/05/2023] [Indexed: 05/21/2023] Open
Abstract
INTRODUCTION Chronic erosive gastritis (CEG) is closely related to gastric cancer, which requires early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope have limited its application in the large-scale screening of CEG. Therefore, a simple and noninvasive screening method is needed in the clinic. OBJECTIVES The aim of this study is to screen potential biomarkers that can identify diseases from the saliva samples of CEG patients using metabolomics. METHODS Saliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using UHPLC-Q-TOF/MS in the positive and negative ion modes. Statistical analysis was performed using both univariate (Student's t-test) and multivariate (orthogonal partial least squares discriminant analysis) tests. Receiver operating characteristic (ROC) analysis was conducted to determine significant predictors in the saliva of CEG patients. RESULTS By comparing the saliva samples from CEG patients and healthy volunteers, 45 differentially expressed metabolites were identified, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites were related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9. CONCLUSIONS In summary, a total of 45 metabolites were identified in the saliva of CEG patients. Among them, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC) might have potential clinical application value.
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Affiliation(s)
- Shaowei Liu
- Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, Shijiazhuang, Hebei, 050091, China
| | - Shixiong Zhang
- Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Haoyu Chen
- Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, Shijiazhuang, Hebei, 050091, China
| | - Pingping Zhou
- Hebei Hospital of Traditional Chinese Medicine, Zhongshan East Road No 389, Changan District, Shijiazhuang, Hebei, 050011, China
| | - Tianxiao Yang
- Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, Shijiazhuang, Hebei, 050091, China
| | - Jingjing Lv
- Hebei Hospital of Traditional Chinese Medicine, Zhongshan East Road No 389, Changan District, Shijiazhuang, Hebei, 050011, China
| | - Huixia Li
- Beijing University of Chinese Medicine Third Affiliated Hospital, Anwai Xiaoguan Street No. 51, Chaoyang District, Beijing, 100029, China
| | - Yangang Wang
- Hebei University of Chinese Medicine, Xinshi South Road No 326, Qiaoxi District, Shijiazhuang, Hebei, 050091, China.
- Beijing University of Chinese Medicine Third Affiliated Hospital, Anwai Xiaoguan Street No. 51, Chaoyang District, Beijing, 100029, China.
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Zhang L, Khoo CS, Xiahou Z, Reddy N, Li Y, Lv J, Sun M, Fan H, Zhang X. Antioxidant and anti-melanogenesis activities of extracts from Leonurus japonicus Houtt. Biotechnol Genet Eng Rev 2023:1-22. [PMID: 37066895 DOI: 10.1080/02648725.2023.2202544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Leonurus japonicus Houtt is an important anti-skin pigmentation herb used in traditional Chinese medicine. However, the molecular basis for this activity is complex and not fully understood. In this study, water and ethanol extracts and polysaccharide extract from L. japonicus (LJPs) were analyzed by LC-MS/MS and HPLC-DAD separately. Cytotoxicity was analyzed by using CCK-8, antioxidant activity using flow cytometer, anti-MMPs, anti-tyrosinase and signalling pathway analysis using Western blotting to investigate their anti-melanogenesis function. The results showed that the water and ethanol extracts contained alkaloids, flavonoids, and phenolic acids. The LJPs mainly contain glucose, fucose, glucuronic acid, mannose, threonine and arginine, and structure characterization by FITR analyses indicated that LJPs have β- or α-D-glycosidic bonds and contain pyranose rings. The L. japonicus extracts displayed high cell viability at their maximum concentration. The water extract and polysaccharides significantly reduced lipopolysaccharide (LPS)-induced intracellular reactive oxygen species (ROS) content and exhibited a cytoprotective role. Also, these extracts displayed higher matrix metalloproteinase-2 (anti-MMP-2), anti-MMP-9 and anti-tyrosinase activities. Furthermore, the polysaccharides displayed significantly greater inhibitory effect on intracellular ROS and tyrosinase protein expression than α-arbutin and ursolic acid used for the clinical treatment of skin pigmentation. This study also investigated the polysaccharide inhibition of melanin synthesis by repressing the expression of melanocytic lineage-specific transcription factor (MITF) and melanogenic enzymes via modulation of the phosphoinositide 3-kinase (PI3K-Akt-mTOR) and β-catenin pathways. The overall results indicate that L. japonicus is a promising candidate for anti-pigmentation treatment.
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Affiliation(s)
- Lin Zhang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
- Beijing Institute of Chinese Medicine, Beijing, China
| | | | - ZhiKai Xiahou
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
| | - Narsimha Reddy
- School of Science, Parramatta Campus, Western Sydney University, Penrith, Australia
| | - Yue Li
- Department of Instrument Management & Analysis, Beijing Institute for Drug Control, Beijing, China
| | - Jingjing Lv
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Meihe Sun
- Yuzhou Lianyun Technology Co. Ltd, Henan, China
| | - Heming Fan
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
- Beijing Institute of Chinese Medicine, Beijing, China
| | - Xian Zhang
- Department of Instrument Management & Analysis, Beijing Port Drug Inspection Institute of The People's Republic of China, Beijing, China
- Beijing Institute for Drug Control, Beijing, China
- Beijing Center for Vaccine Control, Beijing, China
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16
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Feng Y, Cui X, Lv J, Yan B, Meng X, Zhang L, Guo Y. Deep learning models for hepatitis E incidence prediction leveraging meteorological factors. PLoS One 2023; 18:e0282928. [PMID: 36913401 PMCID: PMC10010535 DOI: 10.1371/journal.pone.0282928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 02/27/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND Infectious diseases are a major threat to public health, causing serious medical consumption and casualties. Accurate prediction of infectious diseases incidence is of great significance for public health organizations to prevent the spread of diseases. However, only using historical incidence data for prediction can not get good results. This study analyzes the influence of meteorological factors on the incidence of hepatitis E, which are used to improve the accuracy of incidence prediction. METHODS We extracted the monthly meteorological data, incidence and cases number of hepatitis E from January 2005 to December 2017 in Shandong province, China. We employ GRA method to analyze the correlation between the incidence and meteorological factors. With these meteorological factors, we achieve a variety of methods for incidence of hepatitis E by LSTM and attention-based LSTM. We selected data from July 2015 to December 2017 to validate the models, and the rest was taken as training set. Three metrics were applied to compare the performance of models, including root mean square error(RMSE), mean absolute percentage error(MAPE) and mean absolute error(MAE). RESULTS Duration of sunshine and rainfall-related factors(total rainfall, maximum daily rainfall) are more relevant to the incidence of hepatitis E than other factors. Without meteorological factors, we obtained 20.74%, 19.50% for incidence in term of MAPE, by LSTM and A-LSTM, respectively. With meteorological factors, we obtained 14.74%, 12.91%, 13.21%, 16.83% for incidence, in term of MAPE, by LSTM-All, MA-LSTM-All, TA-LSTM-All, BiA-LSTM-All, respectively. The prediction accuracy increased by 7.83%. Without meteorological factors, we achieved 20.41%, 19.39% for cases in term of MAPE, by LSTM and A-LSTM, respectively. With meteorological factors, we achieved 14.20%, 12.49%, 12.72%, 15.73% for cases, in term of MAPE, by LSTM-All, MA-LSTM-All, TA-LSTM-All, BiA-LSTM-All, respectively. The prediction accuracy increased by 7.92%. More detailed results are shown in results section of this paper. CONCLUSIONS The experiments show that attention-based LSTM is superior to other comparative models. Multivariate attention and temporal attention can greatly improve the prediction performance of the models. Among them, when all meteorological factors are used, multivariate attention performance is better. This study can provide reference for the prediction of other infectious diseases.
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Affiliation(s)
- Yi Feng
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiya Cui
- School of Data and Computer Science, Shandong Women’s Unversity, Jinan, Shandong, China
| | - Jingjing Lv
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Bingyu Yan
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xin Meng
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Li Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- School of Public Health, Shandong University, Jinan, Shandong, China
- * E-mail: (LZ); (YG)
| | - Yanhui Guo
- School of Data and Computer Science, Shandong Women’s Unversity, Jinan, Shandong, China
- * E-mail: (LZ); (YG)
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17
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Dou Y, Chang Y, Duan X, Fan L, Yang B, Lv J. The Preparation of N-Doped Titanium Dioxide Films and Their Degradation of Organic Pollutants. Int J Environ Res Public Health 2022; 19:15721. [PMID: 36497795 PMCID: PMC9735438 DOI: 10.3390/ijerph192315721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/20/2022] [Accepted: 11/23/2022] [Indexed: 06/17/2023]
Abstract
N-doped TiO2 films supported by glass slides showed superior photocatalytic efficiency compared with naked TiO2 powder due to them being easier to separate and especially being responsive to visible light. The films in this study were prepared via the sol-gel method using TBOT hydrolyzed in an ethanol solution and the nitrogen was provided by cabamide. The N-doped TiO2 coatings were prepared via a dip-coating method on glass substrates (30 × 30 × 2 mm) and then annealed in air at 490 °C for 3 h. The samples were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM) and UV-vis. The doping rate of N ranged from 0.1 to 0.9 (molar ratio), which caused redshifts to a longer wavelength as seen in the UV-vis analysis. The photocatalytic activity was investigated in terms of the degradation of phenol under both UV light and visible light over 4 h. Under UV light, the degradation rate of phenol ranged from 86% to 94% for all the samples because of the sufficient photon energy from the UV light. Meanwhile, under visible light, a peak appeared at the N-doping rate of 0.5, which had a degrading efficiency that reached 79.2%, and the lowest degradation rate was 32.9%. The SEM, XRD and UV-vis experimental results were consistent with each other.
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Affiliation(s)
- Yanyan Dou
- School of Energy and Environment, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Yixuan Chang
- School of Energy and Environment, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Xuejun Duan
- School of Energy and Environment, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Leilei Fan
- Department of Resources and Environment, Zunyi Normal College, Zunyi 563006, China
| | - Bo Yang
- People’s Government of Donganggezhuang Town, Luanzhou City, Tangshan 063000, China
| | - Jingjing Lv
- School of Energy and Environment, Zhongyuan University of Technology, Zhengzhou 450007, China
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18
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Zhang C, Liu X, Zhou Z, Deng L, Xiao Z, Feng Q, Chen D, Lv J, Bi N, Wang X, Zhang T, Wang W. Prophylactic Cranial Irradiation in Patients with Limited-Stage Small-Cell Lung Cancer without Brain Metastases: A Retrospective Cohort Study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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19
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Lv J, Liang L, Wang J, Wang Q, Wu L, Wang Y, Wan G, Jia H, Bai H, Li T. Twice-Daily Thoracic Radiotherapy for Patients with Locally Advanced or Oligometastatic Non-Small Cell Lung Cancer: A Single-Center Observational Study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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20
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Zhan T, Zhou Z, Zhang T, Yan W, Zhai Y, Deng L, Wang W, BI N, Wang J, Wang X, Liu W, Xiao Z, Feng Q, Chen D, Lv J. Simultaneous Integrated Boost vs. Routine IMRT in Limited-Stage Small-Cell Lung Cancer: An Open-Label, Non-Inferiority, Randomized, Phase 3 Trial—Interim Analysis. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1597] [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: 10/31/2022]
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21
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Lv J, Xiao L, Liu Y, Wang Y, Zhang R, Chen T, Zhang H, Tang C, Pan S, Nie X, Zhang M, Li T. Caloric Restriction Ketogenic Diets (KR) Enhance Radiotherapy Responses in Lung Cancer Xenografts. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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22
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Callejo M, Bonduelle M, Morand A, Zhang G, Lv J, Cheng G, D'Amico C, Stoian R, Martin G. Waveguide scattering antennas made by direct laser writing in bulk glass for spectrometry applications in the short-wave IR. Appl Opt 2022; 61:7173-7180. [PMID: 36256337 DOI: 10.1364/ao.464017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/18/2022] [Indexed: 06/16/2023]
Abstract
A buried straight waveguide perturbed periodically by six antennas composed of submicronic cylinder voids is entirely fabricated using ultrafast laser photoinscription. The light scattered from each antenna is oriented vertically and is detected by a short-wave IR camera bonded to the surface of the glass with no relay optics. The response of each antenna is analyzed using a wavelength tunable laser source and compared to simulated responses verifying the behavior of the antenna. These results show the good potential of the direct laser writing technique to realize monolithic embedded detectors by combining complex optical functions within a 3D design. A wavelength meter application with a spectral resolution of 150 pm is proposed to demonstrate this combination.
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23
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Taylor NL, D'Souza A, Munn BR, Lv J, Zaborszky L, Müller EJ, Wainstein G, Calamante F, Shine JM. Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks. Neuroimage 2022; 260:119455. [PMID: 35809888 PMCID: PMC10114918 DOI: 10.1016/j.neuroimage.2022.119455] [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: 03/30/2022] [Revised: 07/03/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022] Open
Abstract
Complex cognitive abilities are thought to arise from the ability of the brain to adaptively reconfigure its internal network structure as a function of task demands. Recent work has suggested that this inherent flexibility may in part be conferred by the widespread projections of the ascending arousal systems. While the different components of the ascending arousal system are often studied in isolation, there are anatomical connections between neuromodulatory hubs that we hypothesise are crucial for mediating key features of adaptive network dynamics, such as the balance between integration and segregation. To test this hypothesis, we estimated the strength of structural connectivity between key hubs of the noradrenergic and cholinergic arousal systems (the locus coeruleus [LC] and nucleus basalis of Meynert [nbM], respectively). We then asked whether the strength of structural LC and nbM inter-connectivity was related to individual differences in the emergent, dynamical signatures of functional integration measured from resting state fMRI data, such as network and attractor topography. We observed a significant positive relationship between the strength of white-matter connections between the LC and nbM and the extent of network-level integration following BOLD signal peaks in LC relative to nbM activity. In addition, individuals with denser white-matter streamlines interconnecting neuromodulatory hubs also demonstrated a heightened ability to shift to novel brain states. These results suggest that individuals with stronger structural connectivity between the noradrenergic and cholinergic systems have a greater capacity to mediate the flexible network dynamics required to support complex, adaptive behaviour. Furthermore, our results highlight the underlying static features of the neuromodulatory hubs can impose some constraints on the dynamic features of the brain.
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Affiliation(s)
- N L Taylor
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - A D'Souza
- Brain and Mind Centre, The University of Sydney, Sydney, Australia; Sydney School of Medicine, Central Clinical School, The University of Sydney, Australia
| | - B R Munn
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - J Lv
- Brain and Mind Centre, The University of Sydney, Sydney, Australia; School of Biomedical Engineering, The University of Sydney, Sydney, Australia
| | - L Zaborszky
- School of Arts and Sciences, Rutgers University, New Jersey, USA
| | - E J Müller
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - G Wainstein
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - F Calamante
- Brain and Mind Centre, The University of Sydney, Sydney, Australia; School of Biomedical Engineering, The University of Sydney, Sydney, Australia; Sydney Imaging, The University of Sydney, Sydney, Australia
| | - J M Shine
- Brain and Mind Centre, The University of Sydney, Sydney, Australia.
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24
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Lv J, Wu H, Xu J, Liu J. Immunogenicity and safety of heterologous versus homologous prime-boost schedules with an adenoviral vectored and mRNA COVID-19 vaccine: a systematic review. Infect Dis Poverty 2022; 11:53. [PMID: 35562753 PMCID: PMC9100319 DOI: 10.1186/s40249-022-00977-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/18/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Heterologous prime-boost with ChAdOx1 nCoV-19 vector vaccine (ChAd) and a messenger RNA vaccine (BNT or mRNA-1273) has been widely facilitating mass coronavirus disease 2019 (COVID-19) immunisation. This review aimed to synthesize immunogenicity and reactogenicity of heterologous immunisations with ChAd and BNT (mRNA-1273) vaccine compared with homologous ChAd or BNT (mRNA-1273) immunisation. METHODS PubMed, Web of Science, and Embase databases were searched from inception to March 7, 2022. Immunogenicity involving serum antibodies against different SAS-CoV-2 fragments, neutralizing antibody, or spike-specific T cells response were compared. Any, local and systemic reactions were pooled by meta-analysis for comparison. RESULTS Of 14,571 records identified, 13 studies (3024 participants) were included for analysis. Compared with homologous BNT/BNT vaccination, heterologous ChAd/BNT schedule probably induced noninferior anti-spike protein while higher neutralizing antibody and better T cells response. Heterologous ChAd/BNT (mRNA-1273) immunisation induced superior anti-spike protein and higher neutralizing antibody and better T cells response compared with homologous ChAd/ChAd vaccination. Heterologous ChAd/BNT (mRNA-1273) had similar risk of any reaction (RR = 1.30, 95% CI: 0.86-1.96) while higher risk of local reactions (RR = 1.65, 95% CI: 1.27-2.15) and systemic reactions (RR = 1.49, 95% CI: 1.17-1.90) compared with homologous ChAd/ChAd vaccination. There was a higher risk of local reactions (RR = 1.16, 95% CI: 1.03-1.31) in heterologous ChAd/BNT (mRNA-1273) vaccination compare with homologous BNT/BNT but a similar risk of any reaction (RR = 1.03, 95% CI: 0.79-1.34) and systemic reactions (RR = 0.89, 95% CI: 0.60-1.30). CONCLUSIONS Heterologous ChAd/BNT schedule induced at least comparable immunogenicity compared with homologous BNT/BNT and better immunogenicity compared with homologous ChAd/ChAd vaccination. The synthetical evidence supported the general application of heterologous prime-boost vaccination using ChAd and BNT COVID-19 vaccines.
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Affiliation(s)
- Jingjing Lv
- Expanded Program Immunization Division of Shandong Provincial Center for Disease Control and Prevention, Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Jinan, 250014, China
| | - Hui Wu
- Nosocomial Infection Control Department, Shenzhen University General Hospital, Shenzhen, 518071, China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, 518036, China
| | - Jiaye Liu
- School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, Shenzhen, 518060, China.
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25
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Lv J, Cheng H, Yao W, Liu C, Chen Y, Jin X, Yang Z, Li Y. 4.8% sevoflurane induces activation of autophagy in human neuroblastoma SH-SY5Y cells by the AMPK/mTOR signaling pathway. Neurotoxicology 2022; 90:256-264. [PMID: 35472370 DOI: 10.1016/j.neuro.2022.04.008] [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: 09/25/2021] [Revised: 03/26/2022] [Accepted: 04/20/2022] [Indexed: 11/24/2022]
Abstract
Prolonged sevoflurane exposure leads to neurotoxicity. Autophagy plays an important role in promoting cell survival in different conditions. However, the role and mechanism of autophagy in sevoflurane-induced neurotoxicity were not fully elucidated. We attempted to indicate whether sevoflurane could activate the AMP-activated protein kinase (AMPK)/mechanistic target of rapamycin (mTOR)-mediated autophagy to attenuate anesthetics-induced neuronal injury in this study. Sevoflurane treatment significantly decreased the cell viability and induced apoptosis of SH-SY5Y cells. The expression level of Bcl-2 decreased, while that of Bax remarkably increased. Meanwhile, autophagy was activated by sevoflurane exposure as evidenced by increased expression levels of autophagy-related proteins (LC3-II and Atg5), decreased expression level of autophagic substrate P62, and increased autophagosomes and autolysosomes. Further autophagosomes and fewer autolysosomes were observed in the presence of Bafilomycin A1, an autolysosomes degradation inhibitor, suggesting that sevoflurane induced autophagic flux rather than inhibiting degradation of autophagy. Activation of autophagy by rapamycin partly reversed the sevoflurane-decreased cell viability. In contrast, inhibition of autophagy by 3-Methyladenine (3-MA) or Atg5-targeted small interfering RNA (siRNA) aggravated the sevoflurane-induced neurotoxicity. Further examination revealed that sevoflurane-induced autophagy was mediated by the AMPK/mTOR signaling pathway, with increased p-AMPK expression and decreased p-mTOR expression. Collectively, these results indicated that sevoflurane activates autophagy by regulating the AMPK/mTOR signaling pathway, which is protective against sevoflurane-induced damage in SH-SY5Y cells. Our results may assist clinicians to develop further promising therapeutic strategies for the neurotoxicity induced by inhaled anesthetics.
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Affiliation(s)
- Jingjing Lv
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Hao Cheng
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Weidong Yao
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Can Liu
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Yongquan Chen
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Xiaoju Jin
- Department of Anesthesiology, Yijishan Hospital of Wannan Medical College, No. 2 Zheshan Road, Wuhu 241001, Anhui, PR China
| | - Zeyong Yang
- Department of Anesthesiology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China.
| | - Yuanhai Li
- Department of Anesthesiology, First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui, PR China.
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26
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 372] [Impact Index Per Article: 186.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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LI J, Guo L, Shi S, Zhou X, Zhu L, Liu L, Lv J, Zhang H. POS-528 The Role of Complement in Microangiopathic Lesions of IgA Nephropathy. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.559] [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: 10/19/2022] Open
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Lv J, Zhang J, Zhang K, Zheng J. Predictive value of EEG-derived pain threshold index for acute postoperative pain in children. Front Pediatr 2022; 10:1052532. [PMID: 36619500 PMCID: PMC9811812 DOI: 10.3389/fped.2022.1052532] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Electroencephalogram (EEG)-derived pain threshold index (PTI) has been developed as a novel pain recognition indicator and has been proved to be useful in the prediction of acute postoperative pain in adults. Evidence of its usability in children is limited. The aim of this study was to investigate the prediction value of this novel pain indicator PTI for acute postoperative pain in children. METHODS A total of 80 patients undergoing laparoscopic surgery under general anesthesia were enrolled. Blood pressure, heart rate (HR), surgical pleth index (SPI), PTI, and EEG-derived sedative index-wavelet index (WLI) data were recorded at the end of the surgery. The postoperative pain scores Face, Legs, Activity, Cry, Consolability (FLACC) were obtained in the emergence room 5 min after the children wake up. Receiver-operating characteristic curve was performed to analyze the predictive value of PTI, SPI, HR, and mean arterial pressure (MAP). The consistency between SPI and PTI was also evaluated. RESULTS Results showed that the areas under curves (95%CI) of PTI and SPI were 0.796 (95% CI: 0.694-0.895) and 0.753 (95% CI: 0.632-0.874), respectively, with the best cut-off value of 58 and 45 to discriminate between mild and moderate to severe pain. CONCLUSION This study suggested that PTI obtained at the end of the surgery could predict acute postoperative pain in children with an acceptable accuracy. It will help with early recognition and treatment of postoperative pain, thus reducing the pain in children. In addition, PTI had a good consistency with SPI in predicting acute postoperative pain in children.
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Affiliation(s)
- Jingjing Lv
- Department of Anesthesiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianwei Zhang
- Department of Anesthesiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Kan Zhang
- Department of Anesthesiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jijian Zheng
- Department of Anesthesiology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Center for Brain Science, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Sun X, Men Y, Yang X, Deng L, Wang W, Zhai Y, Jr WL, Zhang T, Wang X, Bi N, Lv J, Liang J, Feng Q, Chen D, Xiao Z, Zhou Z, Wang L, Hui Z. Recurrence Dynamics After Complete Resection and Adjuvant Chemotherapy in Patients With Stage IIIA-N2 Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1274] [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: 10/20/2022]
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Wang Y, Li T, Lv J, Xiao L. Mechanism of Increased Treg Frequency Induced by Irradiated Esophageal Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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31
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Lv J, Zhao Q, Ni L, Yang Y, Xu H. Clinical characteristics and outcomes in young patients with myocardial infarction. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1111] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Young people hold a stable or increasing percentage of patients with acute myocardial infarction in many countries. However, data on clinical characteristics and outcomes in young patients are lacking.
Purpose
To compare clinical characteristics and outcomes between patients aged ≤45 years and those aged >45 years with acute myocardial infarction.
Methods
A total of 24125 patients with acute myocardial infarction between January 2013 and September 2014 from China Acute Myocardial Infarction (CAMI) registry were included in this study. Clinical characteristics, in-hospital and 2-year outcomes were compared between patients aged ≤45 years (young) and those aged >45 years (older). Gender disparity in prognosis of myocardial infarction was analyzed among young patients.
Results
Of 24125 patients, 2042 (8.5%, 116 female) were aged ≤45 years. Compared with patients aged >45 years, young patients were more often male, current smokers, having medical history of hyperlipidemia and family history of premature coronary artery disease. Young patients were significantly more likely to have clear trigger factor, present with persistent chest pain and suffer ST-segment elevation myocardial infarction. Symptom onset to admission time was shorter in patients aged ≤45 years. For patients undergoing emergency coronary angiography, those aged ≤45 years were more likely to suffer left anterior descending coronary artery related myocardial infarction. Young patients were significantly more likely to receive percutaneous coronary intervention and other medications at discharge, including dual antiplatelet therapy, statins, angiotensin converting enzyme inhibitors or angiotensin II receptor blockers and β blockers. Compared with patients aged >45 years, young patients experienced significantly lower in-hospital and 2-year mortality and major adverse cardiac and cerebrovascular events (MACCE, a composite of death, reinfarction and stroke) rates (Table 1). Among young patients, women experienced higher in-hospital mortality and MACCE rates than men (Table 2). Women who survived at discharge experienced significantly higher 2-year mortality (1.4% vs 3.8%, Log-rank P=0.0412, Table 2).
Conclusions
Compared with the older patients, young patients were more likely to present with typical symptoms and receive guideline-recommended medications. Clinical outcomes of patients aged ≤45 years were significantly better than older patients. However, our results showed significant gender disparity in both short- and long-term outcomes of young patients. More efforts are needed to improve prognosis in young patients with acute myocardial infarction.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Twelfth Five-Year Planning Project of the Scientific and Technological Department of China
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Affiliation(s)
- J Lv
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Q Zhao
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - L Ni
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - Y Yang
- Fuwai Hospital, CAMS and PUMC, Beijing, China
| | - H Xu
- Fuwai Hospital, CAMS and PUMC, Beijing, China
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Pang H, Lv J, Xu T, Li Z, Gong J, Liu Q, Wang Y, Wang J, Xia Z, Li Z, Li L, Zhu L. Incidence and risk factors of female urinary incontinence: a 4-year longitudinal study among 24 985 adult women in China. BJOG 2021; 129:580-589. [PMID: 34536320 PMCID: PMC9298368 DOI: 10.1111/1471-0528.16936] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 03/26/2021] [Revised: 06/05/2021] [Accepted: 06/25/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To estimate the incidence of urinary incontinence (UI), including its subtypes stress UI (SUI), urgency UI (UUI) and mixed UI (MUI), and to examine risk factors for de novo SUI and UUI in Chinese women. DESIGN Nationwide longitudinal study. SETTING Six geographic regions of China. PARTICIPANTS Women aged ≥20 years old were included using a multistage, stratified, cluster sampling method. METHODS This study was conducted between May 2014 and March 2016, with follow up in 2018. Data on demographics, medical history, lifestyle and physiological and anthropometric information were collected. MAIN OUTCOME MEASUREMENTS Incidence, rate ratio (RR). RESULTS Analyses included 24 985 women (mean age 41.9 years).The follow-up response rate was 55.5%, median follow-up time was 3.7 years. The standardised incidences of UI, SUI, UUI and MUI were 21.2, 13.1, 3.0 and 5.1 per 1000 person-years, respectively. Risk factors for de novo SUI included delivery pattern (vaginal spontaneous delivery RR 2.12, 95% CI 1.62-2.78 and instrumental delivery RR 3.30, 95% CI 1.99-5.45), high body mass index (BMI) (overweight RR 1.52, 95% CI 1.33-1.74 and obesity RR 1.67, 95% CI 1.32-2.11), cigarette smoking (RR 1.54, 95% CI 1.12-2.12), chronic cough (RR 1.44, 95% CI 1.17-1.76), diabetes (RR 1.33, 95% CI 1.10-1.60) and older age (50-59 years RR 1.49, 95% CI 1.16-1.90 and 60-69 years RR 1.61, 95% CI 1.22-2.13).The risk factors significantly associated with de novo UUI were age (RR increased from 1.21, 95% CI 0.74-1.99, at 30-39 years to 6.3, 95% CI 3.85-10.30, at >70 years) and diabetes (RR 1.48, 95% CI 1.05-2.09). CONCLUSIONS The incidence of female UI is 21.2 per 1000 person-years in China. Delivery (vaginal spontaneous delivery, instrumental delivery), high BMI, cigarette smoking, chronic cough, diabetes and older age were risk factors. TWEETABLE ABSTRACT The incidence of female urinary incontinence was 21.2 per 1000 person-years in China. Delivery, BMI, diabetes and old age are risk factors.
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Affiliation(s)
- H Pang
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Lv
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - T Xu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Z Li
- Department of Gynaecology and Obstetrics, Children's Hospital of Shanxi Province, Shanxi, China
| | - J Gong
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Wuxi, Jiangsu, China
| | - Q Liu
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Gansu Province, Lanzhou, China
| | - Y Wang
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Foshan, Guangdong, China
| | - J Wang
- Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital of Guiyang, Guizhou, China
| | - Z Xia
- Department of Gynaecology and Obstetrics, Sheng Jing Hospital of China Medical University, Liaoning, China
| | - Z Li
- Department of Gynecology and Obstetrics, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Li
- School of Public Health, Peking University Health Science Center, Beijing, China
| | - L Zhu
- Department of Gynecology and Obstetrics, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Hu X, Zhou W, Zhang L, Lv J, Yan B, Zhou Y, Hu W, Dong Y, Chen B, Liu M, Cao J, Xu F, Li L. Implementing sequencing-based surveillance in developing countries: findings from a pilot rollout for hepatitis A in China. Ann Transl Med 2021; 9:1119. [PMID: 34430560 PMCID: PMC8350710 DOI: 10.21037/atm-21-1193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 06/10/2021] [Indexed: 01/15/2023]
Abstract
Background The emergence of SARS-Cov2 variants has highlighted the need to implement sequencing-based surveillance in developing countries for early response to mutant viruses of concern. However, limited information on how to implement sequencing-based surveillance is available, and the feasibility and performance of this new type of surveillance are still in question. Methods To understand the challenges with the implementation and to promote sequencing-based surveillance, we reported findings from a pilot for hepatitis A (HepA) in five sentinel provinces in China as an example of sequencing-based surveillance implementation. The performance of the surveillance system was evaluated by indicators related to acceptability, data quality, simplicity, utility, and timeliness. We use a scale from 1 to 3 was used to provide a score for each aspect. Results During the pilot, 306 cases of HepA were reported, and 49.79% of samples were available for sequencing. Eleven genomic clusters were found, of which seven clusters were potentially related to a foodborne outbreak oyster based on identical viral sequence and epidemiologic investigations. The greatest strength of the system was its simplicity (Score: 2.63). The acceptability (Score: 2.0) and utility (Score: 2.33) were modest, but data quality (Score: 1.75) and timeliness (Score: 1.75) were the main challenges. Conclusions Overall, the system performed satisfactorily and proved to be useful for virological characterization of cases and early outbreak detection, with a great potential for scale-up. Further efforts are required to address financial and human resource constraints and inadequate support among physicians. Education should be given to health care professionals to improve the data quality. The establishment of decentralized surveillance networks can be an approach to improve timeliness for emerging infections.
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Affiliation(s)
- Xiaotong Hu
- The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, Zhejiang University, Hangzhou, China
| | - Wenting Zhou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Jingjing Lv
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Bingyu Yan
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yang Zhou
- Zhejiang Provincial Center for Disease Control and Prevention, Dept. of Immunization Program, Division of Immunization Surveillance & Evaluation, Hangzhou, China
| | - Weijun Hu
- Immunization Program Department, Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, China
| | - Yuanyuan Dong
- Immunization Program Department, Shaanxi Provincial Center for Disease Control and Prevention, Xi'an, China
| | - Biyu Chen
- Hainan Center for Disease Control and Prevention, Haikou, China
| | - Man Liu
- Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Jingyuan Cao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fujie Xu
- The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, Zhejiang University, Hangzhou, China.,China Country Office, Bill& Melinda Gates Foundation, Beijing, China
| | - Lanjuan Li
- The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, Zhejiang University, Hangzhou, China
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Zhang Z, Liu Y, Lv J, Zhang D, Hu K, Li J, Ma J, Cui L, Zhao H. P–583 Differential lipidomic characteristics of children born to women with polycystic ovary syndrome. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.582] [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: 11/14/2022] Open
Abstract
Abstract
Study question
To describe lipidomic characteristics of offspring born to polycystic ovary syndrome (PCOS-off) women and assess the associations of clinical phenotypes changes with differential lipids.
Summary answer
PCOS-off showed specific changes in lipidomics and some differential lipids (e.g., phosphatidylcholines, lysophosphatidylcholine and sphingomyelin) may be the potential markers of aberrant cardiometabolic health.
What is known already
Polycystic ovary syndrome (PCOS), the most prevalent endocrine disorder characterized by ovulatory dysfunction, hyperandrogenism and polycystic ovarian morphology, affects about 8–13% of women of fertile age. Aberrant metabolic pathophysiological changes and increased pregnancy complications associated with PCOS predispose PCOS patients to have suboptimal intrauterine environments and that may produce a detrimental impact on the cardiometabolic health of their children.
Study design, size, duration
A total of 141 blood plasma samples from 70 children born to PCOS women (43 girls, 27 boys) and 71 healthy control children (44 girls, 27 boys) were obtained for lipidomics.
Participants/materials, setting, methods
Blood samples were centrifuged at 2000 rpm, 4 °C for 20 min, and the upper plasma was collected and used for lipid extraction. Then the waters ACQUITY UPLC I-Class system and The Xevo G2-S Q-TOF with an electrospray ionization (ESI) source (Waters, Manchester, UK) was used for chromatographic analysis and mass spectrometry analysis separately.
Main results and the role of chance
In total, 44 metabolites were found to be significantly altered in PCOS-off, including 8 up-regulated and 36 down-regulated metabolites. After stratified by sex, 44 metabolites were found to express differently in girls born to PCOS women (PCOS-g). 13 metabolites were up-regulated, and 31 metabolites were down-regulated, most of which belong to glycerolipids species. While 46 metabolites were found to express differently in boys born to PCOS women (PCOS-b) with 9 increased metabolites and 35 decreased ones, most of which were glycerophospholipids metabolites. Additionally, significant associations between metabolites changes and weight Z-score as well as high density lipoprotein level were found in PCOS-off. In PCOS-g, triglyceride, low density lipoprotein and high density lipoprotein level were found to be correlated with some metabolites, whereas in PCOS-b, thyroid stimulating hormone and high density lipoprotein were correlated with some lipids.
Limitations, reasons for caution
Other species of metabolites except lipids are not included in this study. Besides, some potential confounding maternal factors, such as smoking, drinking, breastfeeding etc. were not included due to the lack of data.
Wider implications of the findings: The results had broadened our understanding of PCOS-off’s cardiometabolic status and emphasized monitor and special management in this susceptible group of population.
Trial registration number
Not applicable
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Affiliation(s)
- Z Zhang
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - Y Liu
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - J Lv
- Shandong University, Department of Biostatistics- School of Public Health- Cheeloo College of Medicine, Jinan, China
| | - D Zhang
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - K Hu
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - J Li
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - J Ma
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - L Cui
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
| | - H Zhao
- Shandong University, Center for Reproductive Medicine- Cheeloo College of Medicine, Jinan, China
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Sun WY, Lu YF, Cai XL, Li ZZ, Lv J, Xiang YA, Chen JJ, Chen WJ, Liu XM, Chen JB. Circ-ABCB10 acts as an oncogene in glioma cells via regulation of the miR-620/FABP5 axis. Eur Rev Med Pharmacol Sci 2021; 24:6848-6857. [PMID: 32633377 DOI: 10.26355/eurrev_202006_21674] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study aims to investigate the biological function of circular RNA ABCB10 (circ-ABCB10) in regulating the progression of glioma and to study the possible underlying mechanisms. PATIENTS AND METHODS The expression levels of circ-ABCB10, miR-620 and FABP5 mRNA in glioma tissues, normal surrounding tissues and glioma cell lines were measured by Real-time PCR (RT-PCR). Circ-ABCB10 was silenced by siRNA in glioma cell lines (U87, T98G). The proliferation, migration and invasion of glioma cells were measured by MTT, wound healing and transwell assays, respectively. The relationship between circ-ABCB10, miR-620 and FABP5 was tested by Dual-Luciferase assay. The expression of proteins was measured by Western blot. The cell cycle distribution and apoptosis were measured by flow cytometry. RESULTS The expression levels of circ-ABCB10 and FABP5 in glioma tissues and cells were significantly higher than those in their normal counterparts. Moreover, the expression of miR-620 was lower in glioma tissues. Silencing of circ-ABCB10 in glioma cells significantly inhibited the proliferation, migration and invasion of glioma cells. Moreover, downregulation of circ-ABCB10 induced cell cycle arrest and apoptosis in glioma cells. Furthermore, inhibition of miR-620 showed the opposite effects to silencing circ-ABCB10 on glioma cells. Dual-Luciferase reporter assays demonstrated that circ-ABCB10 could bind to miR-620 and that FABP5 was a direct target of miR-620. Western blot results showed that circ-ABCB10 could stabilize the expression of FABP5, while miR-620 decreased the expression of FABP5. Furthermore, overexpression of FABP5 abrogated the silencing effects of circ-ABCB10 in glioma cells. CONCLUSIONS These data suggest that circ-ABCB10 affects glioma progression by regulating the miR-620/FABP5 axis, and circ-ABCB10 might be used as a potential target for the treatment of glioma.
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Affiliation(s)
- W-Y Sun
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, China.
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Jiang Y, Zan J, Hou W, Zhao W, Zhou X, Shi S, Lv J, Zhang H. POS-376 THE EFFECTS OF C4d DEPOSITION ON THE PROGNOSIS IN IGA NEPHROPATHY: A SYSTEMATIC REVIEW AND META-ANALYSIS. Kidney Int Rep 2021. [DOI: 10.1016/j.ekir.2021.03.394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Feng S, Pei F, Wu Y, Lv J, Hao Q, Yang T, Tong Z, Lei W. A ratiometric fluorescent sensor based on g-CNQDs@Zn-MOF for the sensitive detection of riboflavin via FRET. Spectrochim Acta A Mol Biomol Spectrosc 2021; 246:119004. [PMID: 33070014 DOI: 10.1016/j.saa.2020.119004] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [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: 06/02/2020] [Revised: 09/16/2020] [Accepted: 09/22/2020] [Indexed: 05/03/2023]
Abstract
A novel ratiometric fluorescent sensor based on Förster resonance energy transfer (FRET) platform was designed for riboflavin (RF) detection. The graphitic carbon nitrides quantum dots - Zn-MOF composite (g-CNQDs@Zn-MOF) was used as the fluorescent probe. In the FRET system, g-CNQDs@Zn-MOF and RF acted as donor and acceptor, respectively. The probe exhibited high sensitivity and good selectivity to RF, and had been successfully used for the detection of RF in milk and vitamin B2 tablets. The detection limit of the sensor was 15 nM. The strategy expanded the application of MOF in sensing filed and provided a new method for the detection of RF.
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Affiliation(s)
- Shasha Feng
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Fubin Pei
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yi Wu
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Jingjing Lv
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Qingli Hao
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Tinghai Yang
- School of Chemistry & Environmental Engineering, Jiangsu University of Technology, Changzhou 213001, China
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing 102205, China.
| | - Wu Lei
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
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Lv J, Zhang H, Gao Z, Zhang X, Huang X, Jia X. Prognostic value of miR-892a in gastric cancer and its regulatory effect on tumor progression. Cancer Biomark 2021; 28:247-254. [PMID: 32390603 DOI: 10.3233/cbm-191323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Gastric cancer is a prevalent malignant around the world. Aberrantly expression of microRNAs (miRNAs) contributes to the progression of tumors. The aim of this study was to investigate the expression and role of miR-892a in gastric cancer. METHODS A total of 119 gastric cancer patients were enrolled in this study. And the expression of miR-892a in gastric cancer tissues and cells was measured using RT-qPCR analysis. Kaplan-Meier plotter and multivariate Cox regression analysis were used to explore the prognostic value of miR-892a in gastric cancer. The biological function of miR-892a in gastric cancer cells was evaluated using CCK-8 assays and Transwell assays. RESULTS The expression of miR-892a was high-expressed in gastric cancer tissues and cells. The miR-892a expression was associated with tumor size, differentiation, lymph node metastasis, and TNM stages. Gastric cancer patients with high miR-892a expression showed a short overall survival rate. Overexpression of miR-892a promoted cell proliferation, migration, and invasion of gastric cancer cells. CONCLUSION miR-892a was upregulated and predictor of poor prognosis in gastric cancer patients. The miR-892a in gastric cancer cells significantly promoted cell proliferative, migratory, and invasive properties. Furthermore, miR-892a may be served as a prognostic marker as well as a therapeutic target for gastric cancer.
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Affiliation(s)
- Jingjing Lv
- Department of Pathology, Caoxian People's Hospital of Shandong, Heze, Shandong, China.,Department of Pathology, Caoxian People's Hospital of Shandong, Heze, Shandong, China
| | - Haitao Zhang
- Department of Pathology, Chengwuxian People's Hospital of Shandong, Heze, Shandong, China.,Department of Pathology, Caoxian People's Hospital of Shandong, Heze, Shandong, China
| | - Zhimei Gao
- Department of Pathology, Diseases in Caoxian Hospital of Traditional Chinese Medicine of Shandong, Heze, Shandong, China
| | - Xinyan Zhang
- Department of Clinical Laboratory, Caoxian Maternal and Child Health and Family Planning Service Center of Shandong, Heze, Shandong, China
| | - Xin Huang
- Department of Pathology, Caoxian People's Hospital of Shandong, Heze, Shandong, China
| | - Xiaojuan Jia
- Department of Pathology, Caoxian People's Hospital of Shandong, Heze, Shandong, China
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Lv J, Dong B, Lei H, Shi G, Wang H, Zhu F, Wen C, Zhang Q, Fu L, Gu X, Yuan J, Guan Y, Xia Y, Zhao L, Chen H. Artificial intelligence-assisted auscultation in detecting congenital heart disease. Eur Heart J Digit Health 2021; 2:119-124. [PMID: 36711176 PMCID: PMC9708038 DOI: 10.1093/ehjdh/ztaa017] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Revised: 12/01/2020] [Accepted: 12/18/2020] [Indexed: 02/01/2023]
Abstract
Aims Computer-assisted auscultation has become available to assist clinicians with physical examinations to detect congenital heart disease (CHD). However, its accuracy and effectiveness remain to be evaluated. This study seeks to evaluate the accuracy of auscultations of abnormal heart sounds of an artificial intelligence-assisted auscultation (AI-AA) platform we create. Methods and results Initially, 1397 patients with CHD were enrolled in the study. The samples of their heart sounds were recorded and uploaded to the platform using a digital stethoscope. By the platform, both remote auscultation by a team of experienced cardiologists from Shanghai Children's Medical Center and automatic auscultation of the heart sound samples were conducted. Samples of 35 patients were deemed unsuitable for the analysis; therefore, the remaining samples from 1362 patients (mean age-2.4 ± 3.1 years and 46% female) were analysed. Sensitivity, specificity, and accuracy were calculated for remote auscultation compared to experts' face-to-face auscultation and for artificial intelligence automatic auscultation compared to experts' face-to-face auscultation. Kappa coefficients were measured. Compared to face-to-face auscultation, remote auscultation detected abnormal heart sound with 98% sensitivity, 91% specificity, 97% accuracy, and kappa coefficient 0.87. AI-AA demonstrated 97% sensitivity, 89% specificity, 96% accuracy, and kappa coefficient 0.84. Conclusions The remote auscultations and automatic auscultations, using the AI-AA platform, reported high auscultation accuracy in detecting abnormal heart sound and showed excellent concordance to experts' face-to-face auscultation. Hence, the platform may provide a feasible way to screen and detect CHD.
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Affiliation(s)
- Jingjing Lv
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Department of Anesthesiology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Bin Dong
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Hao Lei
- Shanghai FitGreat Network Technology Co. Ltd, Room 402, Building 32, No. 680 Guiping Road, Xuhui District, Shanghai 200233, PR China
| | - Guocheng Shi
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Hansong Wang
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Child Health Advocacy Institute, China Hospital Development Institute of Shanghai Jiaotong University, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Fang Zhu
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Chen Wen
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Qian Zhang
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Lijun Fu
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Xiaorong Gu
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Jiajun Yuan
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Yongmei Guan
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Yuxian Xia
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China
| | - Liebin Zhao
- Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Child Health Advocacy Institute, China Hospital Development Institute of Shanghai Jiaotong University, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Corresponding authors. Tel: +86 18930830797, (H.C.); Tel: +86 18930830660, (L.Z.)
| | - Huiwen Chen
- Department of Cardiothoracic Surgery, Heart Center, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Pediatric AI Clinical Application and Research Center, Shanghai Children’s Medical Center, Shanghai Jiaotong University School of Medicine, NO.1678 Dongfang Road, Pudong New District, Shanghai 200127, PR China,Corresponding authors. Tel: +86 18930830797, (H.C.); Tel: +86 18930830660, (L.Z.)
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Zhang B, Zhou J, Dai W, Lv J, Guo Y. Comparison of Propranolol and Metoprolol on Patients with Unstable Angina Pectoris and their Effects on High-Sensitivity C-Reactive Protein, Lipoprotein Associated Phospholipase A2. Indian J Pharm Sci 2021. [DOI: 10.36468/pharmaceutical-sciences.spl.335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Chen Z, Wang Y, Zhao J, Zhou D, Lv J, Zhang G, Di T, Li P. A study on the pathogenesis of blood-heat psoriasis with transcriptome analysis. Ann Transl Med 2020; 8:1523. [PMID: 33313268 PMCID: PMC7729302 DOI: 10.21037/atm-20-7137] [Citation(s) in RCA: 2] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Most existing studies on psoriasis' pathogenesis have focused on collecting epithelial cell gene sequences from psoriasis patients and normal subjects. In this paper, for the first time, high-throughput microarray was used to study the differential expression of genes in venous blood between patients with blood-heat psoriasis and normal subjects, providing theoretical support for studying the pathogenesis of blood-heat psoriasis. Methods Peripheral venous blood was collected from ten patients with blood-heat psoriasis and ten healthy volunteers for high-throughput microarray. The mRNAs, lncRNAs, and circRNAs related to blood-heat psoriasis were selected by analyzing the transcriptome microarray results. Then gene ontology (GO) analysis and KEGG signaling pathway analysis were used to explore further the biological functions of these mRNAs, lncRNAs, and circRNAs in blood-heat pathogenesis psoriasis. Network pharmacology was used to analyze the protein-protein interaction (PPI) network of the genes with differential expression, and the core genes to transmit information were obtained. Results A total of 205 circRNAs, 393 lncRNAs, and 157 mRNAs with differential expression associated with psoriasis were selected using high-throughput microarray. GO analysis showed these mRNAs, lncRNAs, and circRNAs were mainly enriched in cellular processes, biological regulation, ribosome formation, and negative regulation of protein binding. However, KEGG enrichment analysis suggested they were mainly enriched in autoimmunity pathways, lipid metabolism, translation, and signal transduction. PPI network analysis of mRNAs with significant difference revealed 11 core genes that transmitted information in psoriasis primarily. Conclusions The mRNAs, lncRNAs, and circRNAs with differential expression related to the pathogenesis of blood-heat psoriasis were found using high-throughput microarray for the first time. And the mRNAs, lncRNAs, and circRNAs with potential regulatory functions related to blood-heat psoriasis were then screened by bioinformatics analysis, effectively providing a new research entry point to the pathogenesis of blood-heat psoriasis.
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Affiliation(s)
- Zhaoxia Chen
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Traditional Chinese Medicine, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Yan Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Traditional Chinese Medicine, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Jingxia Zhao
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Traditional Chinese Medicine, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Dongmei Zhou
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Jingjing Lv
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Guangzhong Zhang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Tingting Di
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Traditional Chinese Medicine, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
| | - Ping Li
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Traditional Chinese Medicine, Beijing, China.,Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, China
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Guo Y, Lv J, Zhao Q, Dong Y, Dong K. Cinnamic Acid Increased the Incidence of Fusarium Wilt by Increasing the Pathogenicity of Fusarium oxysporum and Reducing the Physiological and Biochemical Resistance of Faba Bean, Which Was Alleviated by Intercropping With Wheat. Front Plant Sci 2020; 11:608389. [PMID: 33381139 PMCID: PMC7767866 DOI: 10.3389/fpls.2020.608389] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 11/12/2020] [Indexed: 05/30/2023]
Abstract
BACKGROUND Continuous cropping has resulted in the accumulation of self-toxic substances in faba beans which has restricted their global production. Intercropping is widely used to alleviate these problems. AIMS To explore the role of cinnamic acid stress in faba bean physiology and disease resistance, and the potential mitigating effects of intercropping the faba bean with wheat. METHODS Faba bean seedlings were grown with or without wheat in both field and hydroponic conditions in the presence of different cinnamic acid concentrations and Fusarium oxysporum (FOF), the occurrence of. Fusarium-mediated wilt and oxidative stress, as well as plant growth indices and the anti-pathogen defense system were analyzed. RESULTS Cinnamic acid significantly increased Fusarium pathogenicity, inhibited the activity of defense enzymes and reduced the ability of plants to resist pathogens, indicating the importance of cinnamic acid in the promotion of Fusarium wilt resulting in reduced seedling growth. Intercropping with wheat improved plant resistance by alleviating cinnamic acid-induced stress, which promoted crop growth and decreased the incidence and disease index of Fusarium wilt. CONCLUSION Cinnamic acid promotes Fusarium wilt by stimulating pathogen enzyme production and destroying the defense capability of faba bean roots. Intercropping reduces Fusarium wilt by alleviating the damage caused by cinnamic acid to the defense system of the faba bean root system.
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Affiliation(s)
- Yuting Guo
- College of Resources and Environment, Yunnan Agricultural University, Kunming, China
| | - J. Lv
- College of Resources and Environment, Yunnan Agricultural University, Kunming, China
| | - Q. Zhao
- College of Resources and Environment, Yunnan Agricultural University, Kunming, China
| | - Yan Dong
- College of Resources and Environment, Yunnan Agricultural University, Kunming, China
| | - K. Dong
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
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Feng Y, Guo Y, Lv J, Yan B, Xu A, Zhang L. Prediction for Hepatitis E Incidence Using Support Vector Machine. j med imaging hlth inform 2020. [DOI: 10.1166/jmihi.2020.3226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Hepatitis E is an acute viral hepatitis caused by hepatitis E virus, which has become a public health problem threatening people's health. Study on incidence of hepatitis E is effective in prevention and control of hepatitis E. We take the incidence of hepatitis E in Shandong, China,
as a case. We studied the periodicity of hepatitis E incidence, and proposed a method to obtain the exact period of hepatitis E, in order to improve prediction performance. Then, we adopt support vector machine (SVM) to predict the incidence of hepatitis E. To make full use of correlation
among data, we propose three modeling methods for SVM, including horizontal modeling, vertical modeling, and cross modeling. We take periodicity into account for prediction. To verify the effectiveness of our proposed method, we did a comparative experiment with ARIMA, which is the most commonly
used method for predicting hepatitis E. Experiments show that the correlation in and between periods is helpful to improve the prediction accuracy. Especially, our proposed CM-SVM method has good performance and stability for hepatitis E prediction.
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Kang J, Men Y, Wang J, Zhai Y, Deng L, Wang W, Liu W, Wang X, Bi N, Xiao Z, Liang J, Lv J, Zhou Z, Feng Q, Chen D, Wang L, Hui Z. Optimal Timing of Postoperative Radiotherapy (PORT) for Patients with pⅢA-N2 Non-Small Cell Lung Cancer (NSCLC) Receiving Complete Resection Followed by Adjuvant Chemotherapy. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1293] [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]
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Zhao Q, Xu H, Lv J, Wu Y. The decision-making of treatment and outcome in elderly patients with symptomatic severe aortic stenosis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1993] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The prevalence of aortic stenosis (AS) steadily increases with age. There is a consensus that intervention should be advised in patients with symptomatic severe AS. However, decision to operate raises complex issues in the elderly due to the increasing operative comorbidity and mortality. There is limited information regarding the characteristics and outcome of elderly patients with symptomatic severe AS who were denied intervention and the reasons leading to the denial.
Purpose
To analyze the decision-making and the prognosis in elderly patients with symptomatic severe AS.
Methods
In a cohort of 8929 patients aged ≥60 years with significant valvular heart disease, we divided patients with severe (valve area ≤1 cm2 or peak velocity ≥4.0 m/s or mean gradient ≥40 mmHg), symptomatic (angina or NYHA II-IV or syncope) AS into three groups by final treatment decision: intervention group, doctor-deny group, patient-deny group. The impact of characteristics on decision-making was evaluated and 1-year mortality among three groups were compared.
Results
Among 546 patients with severe symptomatic AS, the interventional decision was taken in 338 patients (61.9%), 134 patients (24.5%) were denied intervention by doctor after evaluation and 74 patients (13.5%) refused intervention due to personal preference. In multivariable analysis, age [OR=1.104, 95% CI (1.068–1.142)], multi-comorbidities [OR=4.706, 95% CI (2.355–9.403)] and left ventricular end-diastolic diameter (LVEDD) [OR=1.021, 95% CI (1.001–1.042)] were markedly associated with the conservative decision made by doctor, while LVEF >50% [OR=0.260, 95% CI (0.082–0.823)] was significantly linked with the interventional decision. Lower mortality was observed in intervention group during 1-year follow-up compared with either doctor-deny group or patient-deny group (both P<0.001 after adjustment). Further, diabetes [HR=2.513, 95% CI (1.243–5.084)], syncope [HR=2.856, 95% CI (1.338–6.098)], atrial fibrillation (AF) [HR=2.764, 95% CI (1.305–5.855)], stroke [HR=2.921, 95% CI (1.252–6.851)] and multi-comorbidities [HR=3.120, 95% CI (1.363–7.142)] were strong 1-year mortality predictors, whereas interventional treatment [HR=0.195, 95% CI (0.091–0.417)] and LEVF >50% [HR=0.960, 95% CI (0.938–0.984)] were related to lower mortality.
Conclusions
Intervention was denied in about forty percent of elderly patients with symptomatic severe AS. Patients with advanced age, multi-comorbidities and increased LVEDD tended to be denied intervention by doctors, whereas interventions were more likely to be performed on patients with normal LVEF. Diabetes, syncope, AF, stroke and multi-comorbidities were the predictive factors of 1-year mortality. Elderly patients with symptomatic severe AS could benefit from intervention. Patient education needs to be strengthened, to encourage more patients accept the appropriate intervention.
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Twelfth Five-year Science and Technology Support Projects by Ministry of Science and Technology of China
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Affiliation(s)
- Q Zhao
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of cardiology, Beijing, China
| | - H Xu
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of cardiology, Beijing, China
| | - J Lv
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of cardiology, Beijing, China
| | - Y Wu
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of cardiology, Beijing, China
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Zhao Q, Xu H, Lv J, Zhao Y, Yang Y. Optimal timing of delayed percutaneous coronary intervention in stable patients with ST-segment elevation myocardial infarction. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2524] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
There is ongoing controversy and limited data about the optimal timing to perform delayed percutaneous coronary intervention (PCI) in stable ST-segment elevation myocardial infarction (STEMI) patients who have missed opportunities for acute reperfusion therapy and are in absence of ongoing ischemia.
Purpose
To evaluate the effects of timing of delayed PCI on short- and long-term safety outcomes in stable STEMI patients.
Methods
A cohort of 3,048 stable STEMI patients without acute reperfusion therapy who underwent delayed PCI were included in the study. Procedural timing was stratified into three groups: <3d, 3–7d, >7d. Primary outcomes were 30-day and 12-month major adverse cardiac events (MACE), a composite of death and reinfarction. Multivariate logistic and Cox regression models were performed.
Results
After multivariate adjustment, restricted cubic splines revealed a monotonic decrease in the risk of MACE with prolonged procedural timing (Figure-1). Delayed PCI on 3–7d and >7d were strongly associated with lower risks of MACE at 30 days (3–7d: Hazard ratio (HR) 0.43 [95% Confidence interval (CI) 0.18–0.99], P=0.046; >7d: HR 0.40 [95% CI 0.19–0.87], P=0.020) and 12 months (3–7d: HR 0.49 [95% CI 0.25–0.95], P=0.036; >7d: HR 0.42 [95% CI 0.22–0.77], P=0.006) compared with that on <3d. Delayed PCI on >7d also showed improvement in 12-month mortality (HR 0.45 [95% CI 0.22–0.91], P=0.026) over that on <3d, whereas procedure on 3–7d did not (HR 0.52 [95% CI 0.24–1.11], P=0.091). MI location and cardiac function had significant interactions with procedural timing for 12-month MACE (P-interaction=0.141 and 0.137). Procedural timing had more significant effects on MACE in patients with anterior MI or cardiac insufficiency.
Conclusion
Delayed PCI over a week after symptom onset had significant improvement in short- and long-term safety in stable STEMI patients especially with anterior MI or cardiac insufficiency. Decision-making on optimal timing should identify the high-risk individuals and balance between ischemic benefits and safety.
Figure 1
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Twelfth Five-year Science and Technology Support Projects by Ministry of Science and Technology of China.
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Affiliation(s)
- Q Zhao
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Coronary Heart Disease Center, Beijing, China
| | - H Xu
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Coronary Heart Disease Center, Beijing, China
| | - J Lv
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Coronary Heart Disease Center, Beijing, China
| | - Y Zhao
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Coronary Heart Disease Center, Beijing, China
| | - Y Yang
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Coronary Heart Disease Center, Beijing, China
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Abstract
BACKGROUND Accurate and reliable predictions of infectious disease can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission. A great variety of models have been developed for this task. However, for different data series, the performance of these models varies. Hepatitis E, as an acute liver disease, has been a major public health problem. Which model is more appropriate for predicting the incidence of hepatitis E? In this paper, three different methods are used and the performance of the three methods is compared. METHODS Autoregressive integrated moving average(ARIMA), support vector machine(SVM) and long short-term memory(LSTM) recurrent neural network were adopted and compared. ARIMA was implemented by python with the help of statsmodels. SVM was accomplished by matlab with libSVM library. LSTM was designed by ourselves with Keras, a deep learning library. To tackle the problem of overfitting caused by limited training samples, we adopted dropout and regularization strategies in our LSTM model. Experimental data were obtained from the monthly incidence and cases number of hepatitis E from January 2005 to December 2017 in Shandong province, China. We selected data from July 2015 to December 2017 to validate the models, and the rest was taken as training set. Three metrics were applied to compare the performance of models, including root mean square error(RMSE), mean absolute percentage error(MAPE) and mean absolute error(MAE). RESULTS By analyzing data, we took ARIMA(1, 1, 1), ARIMA(3, 1, 2) as monthly incidence prediction model and cases number prediction model, respectively. Cross-validation and grid search were used to optimize parameters of SVM. Penalty coefficient C and kernel function parameter g were set 8, 0.125 for incidence prediction, and 22, 0.01 for cases number prediction. LSTM has 4 nodes. Dropout and L2 regularization parameters were set 0.15, 0.001, respectively. By the metrics of RMSE, we obtained 0.022, 0.0204, 0.01 for incidence prediction, using ARIMA, SVM and LSTM. And we obtained 22.25, 20.0368, 11.75 for cases number prediction, using three models. For MAPE metrics, the results were 23.5%, 21.7%, 15.08%, and 23.6%, 21.44%, 13.6%, for incidence prediction and cases number prediction, respectively. For MAE metrics, the results were 0.018, 0.0167, 0.011 and 18.003, 16.5815, 9.984, for incidence prediction and cases number prediction, respectively. CONCLUSIONS Comparing ARIMA, SVM and LSTM, we found that nonlinear models(SVM, LSTM) outperform linear models(ARIMA). LSTM obtained the best performance in all three metrics of RSME, MAPE, MAE. Hence, LSTM is the most suitable for predicting hepatitis E monthly incidence and cases number.
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Affiliation(s)
- Yanhui Guo
- School of Data and Computer Science, Shandong Women’s Unversity, Jinan, Shandong, China
| | - Yi Feng
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Fuli Qu
- School of Data and Computer Science, Shandong Women’s Unversity, Jinan, Shandong, China
| | - Li Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Bingyu Yan
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
| | - Jingjing Lv
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
- Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China
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Yang M, Wang GY, Qian H, Ji XY, Liu CY, Zeng XH, Lv J, Shi YX. Circ-CCDC66 accelerates proliferation and invasion of gastric cancer via binding to miRNA-1238-3p. Eur Rev Med Pharmacol Sci 2020; 23:4164-4172. [PMID: 31173287 DOI: 10.26355/eurrev_201905_17919] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to examine the expression of circ-CCDC66 in gastric cancer (GC) tissues and cell lines, as well as its correlation with the prognosis of GC. Moreover, the regulatory effects of circ-CCDC66 on biological behaviors of GC cells and its molecular mechanism were explored. PATIENTS AND METHODS The relative expression level of circ-CCDC66 in GC tissues and cell lines was determined by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR). The correlation between the circ-CCDC66 level and overall survival of GC patients was analyzed as well. The potential influences of circ-CCDC66 on proliferative and invasive abilities of GC cells were evaluated through 5-Ethynyl-2'-deoxyuridine (EdU), colony formation and transwell assay, respectively. Meanwhile, the cell cycle progression and apoptosis of GC cells affected by circ-CCDC66 were determined. In addition, the direct target miRNA of circ-CCDC66 was predicted and verified by bioinformatics method and Dual-Luciferase reporter gene assay, respectively. RESULTS Circ-CCDC66 was significantly up-regulated in GC tissues and cell lines. Up-regulation of circ-CCDC66 indicated markedly worse prognosis of GC patients. Transfection of circ-CCDC66-siRNA remarkably attenuated proliferative and invasive abilities of BGC-823 and MGC-803 cells. Besides, GC cells were arrested in the G0/G1 phase, and the apoptotic rate was remarkably elevated after circ-CCDC66 knockdown. The Dual-Luciferase reporter gene assay verified that circ-CCDC66 bind to miRNA-1238-3p by competing with LHX2 (LIM-homeobox domain 2). MiRNA-1238-3p was significantly down-regulated in GC cells, whereas LHX2 was up-regulated. Furthermore, overexpression of miRNA-1238-3p in GC cells markedly suppressed the LHX2 level. CONCLUSIONS Circ-CCDC66 is highly expressed in GC tissues and cell lines. Knockdown of circ-CCDC66 attenuates proliferative and invasive abilities of GC cells. Our results indicate that circ-CCDC66/miRNA-1238-3p/LHX2 axis may be a promising target for GC treatment.
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Affiliation(s)
- M Yang
- Department of Gastroenterology, Hongkou Branch of Changhai Hospital, Navy Medical University (Second Military Medical University), Shanghai, China.
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Zheng HC, Xue EC, Wang XH, Chen X, Wang SY, Huang H, Jiang J, Ye Y, Huang CL, Zhou Y, Gao WJ, Yu CQ, Lv J, Wu XL, Huang XM, Cao WH, Yan YS, Wu T, Li LM. [Bivariate heritability estimation of resting heart rate and common chronic disease based on extended pedigrees]. Beijing Da Xue Xue Bao Yi Xue Ban 2020; 52:432-437. [PMID: 32541974 DOI: 10.19723/j.issn.1671-167x.2020.03.006] [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: 11/20/2022]
Abstract
OBJECTIVE To estimate the univariate heritability of resting heart rate and common chronic disease such as hypertension, diabetes, and dyslipidemia based on extended pedigrees in Fujian Tulou area and to explore bivariate heritability to test for the genetic correlation between resting heart rate and other relative phenotypes. METHODS The study was conducted in Tulou area of Nanjing County, Fujian Province from August 2015 to December 2017. The participants were residents with Zhang surname and their relatives from Taxia Village, Qujiang Village, and Nanou Village or residents with Chen surname and their relatives from Caoban Village, Tumei Village, and Beiling Village. The baseline survey recruited 1 563 family members from 452 extended pedigrees. The pedigree reconstruction was based on the family information registration and the genealogy booklet. Univariate and bivariate heritability was estimated using variance component models for continuous variables, and susceptibility-threshold model for binary variables. RESULTS The pedigree reconstruction identified 1 seven-generation pedigree, 2 five-generation pedigrees, 23 four-generation pedigrees, 186 three-generation pedigrees, and 240 two-generation pedigrees. The mean age of the participants was 57.2 years and the males accounted for 39.4%. The prevalence of hypertension, diabetes, dyslipidemia in this population was 49.2%, 10.0%, and 45.2%, respectively. The univariate heritability estimation of resting heart rate, hypertension, and dyslipidemia was 0.263 (95%CI: 0.120-0.407), 0.404 (95%CI: 0.135-0.673), and 0.799 (95%CI: 0.590-1), respectively. The heritability of systolic blood pressure, diastolic blood pressure, fasting glucose, total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was 0.379, 0.306, 0.393, 0.452, 0.568, 0.852, and 0.387, respectively. In bivariate analysis, there were phenotypic correlations between resting heart rate with hypertension, diabetes, diastolic blood pressure, fasting glucose, and triglyceride. After taking resting heart rate into account, there were strong genetic correlations between resting heart rate with fasting glucose (genetic correlation 0.485, 95%CI: 0.120-1, P<0.05) and diabetes (genetic correlation 0.795, 95%CI: 0.181-0.788, P<0.05). CONCLUSION Resting heart rate was a heritable trait and correlated with several common chronic diseases and related traits. There was strong genetic correlation between resting heart rate with fasting glucose and diabetes, suggesting that they may share common genetic risk factors.
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Affiliation(s)
- H C Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - E C Xue
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X H Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Y Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - H Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Ye
- Department of Local Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China
| | - C L Huang
- Department of Hygiene, Nanjing County Center for Disease Control and Prevention, Nanjing 363600 Fujian, China
| | - Y Zhou
- Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - W J Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X L Wu
- Department of Hygiene, Nanjing County Center for Disease Control and Prevention, Nanjing 363600 Fujian, China
| | - X M Huang
- Department of Hygiene, Nanjing County Center for Disease Control and Prevention, Nanjing 363600 Fujian, China
| | - W H Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y S Yan
- Department of Local Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China
| | - T Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Zhang S, Lv J, Ren X, Hao X, Zhou P, Wang Y. The efficacy and safety of fecal microbiota transplantation in the treatment of systemic sclerosis: A protocol for systematic review and meta analysis. Medicine (Baltimore) 2020; 99:e21267. [PMID: 32664182 PMCID: PMC7360200 DOI: 10.1097/md.0000000000021267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Systemic sclerosis (SSc) is 1 of the most complex systemic autoimmune diseases.Accumulating evidence suggests that gut microbiota affect the development and function of the immune system and may play a role in the pathogenesis of autoimmune diseases. This new paradigm raises the possibility that many diseases result, at least partially, from microbiota-related dysfunction. This understanding invites the investigation of fecal microbiota transplantation (FMT) in the treatment of SSc. However, no study has specifically and systematically investigated the efficacy and safety of FMT in the treatment of SSc. Thus, this study will systematically and comprehensively appraise the efficacy and safety of FMT in the treatment of SSc. METHODS We will search the following sources without restrictions for date, language, or publication status: PubMed, Web of Science,Cochrane Central Register of Controlled Trials (CENTRAL) Cochrane Library, EMBASE and China National Knowledge Infrastructure. We will apply a combination of Medical Subject Heading (MeSH) and free-text terms incorporating database-specific controlled vocabularies and text words to implement search strategies. We will also search the ongoing trials registered in the World Health Organization's International Clinical Trials Registry Platform. Besides, the previous relevant reviews conducted on FMT for SSc and reference lists of included studies will also be searched. RESULTS This study will provide a reliable basis for the treatment of SSc with FMT. CONCLUSIONS The findings will be an available reference to evaluate the efficacy and safety of FMT in the treatment of SSc. REGISTRATION NUMBER INPLASY202060019.
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Affiliation(s)
| | - Jingjing Lv
- Hebei Province Hospital of Chinese Medicine, Shijiazhuang City, Hebei
| | | | - Xinyu Hao
- Hebei University of Chinese Medicine
| | | | - Yangang Wang
- Hebei Province Hospital of Chinese Medicine, Shijiazhuang City, Hebei
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