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Peng XJ, Hei GR, Li RR, Yang Y, Liu CC, Xiao JM, Long YJ, Shao P, Huang J, Zhao JP, Wu RR. Corrigendum: The association between metabolic disturbance and cognitive impairments in early-stage schizophrenia. Front Hum Neurosci 2022; 16:1094810. [DOI: 10.3389/fnhum.2022.1094810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/22/2022] Open
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Chen X, Lu B, Li HX, Li XY, Wang YW, Castellanos FX, Cao LP, Chen NX, Chen W, Cheng YQ, Cui SX, Deng ZY, Fang YR, Gong QY, Guo WB, Hu ZJY, Kuang L, Li BJ, Li L, Li T, Lian T, Liao YF, Liu YS, Liu ZN, Lu JP, Luo QH, Meng HQ, Peng DH, Qiu J, Shen YD, Si TM, Tang YQ, Wang CY, Wang F, Wang HN, Wang K, Wang X, Wang Y, Wang ZH, Wu XP, Xie CM, Xie GR, Xie P, Xu XF, Yang H, Yang J, Yao SQ, Yu YQ, Yuan YG, Zhang KR, Zhang W, Zhang ZJ, Zhu JJ, Zuo XN, Zhao JP, Zang YF, Yan CG. The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder. Psychoradiology 2022; 2:32-42. [PMID: 38665141 PMCID: PMC10917197 DOI: 10.1093/psyrad/kkac005] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/06/2022] [Accepted: 05/06/2022] [Indexed: 02/05/2023]
Abstract
Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, the Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with a standardized pipeline across all participating sites, has been the first effort from DIRECT. In this review, we present an overview of the motivations, rationale, and principal findings of the studies so far from the REST-meta-MDD project. Findings from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network, in whole-brain topological properties, in dynamic features, and in functional lateralization. These well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven research. Following these fruitful explorations, DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations. A state-of-the-art, surface-based preprocessing pipeline has also been introduced to improve sensitivity. Functional images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diagnosis boundaries. In addition, large-scale longitudinal studies targeting brain network alterations following antidepressant treatment, aggregation of diffusion tensor images, and the development of functional magnetic resonance imaging-guided neuromodulation approaches are underway. Through these endeavours, we hope to accelerate the translation of functional neuroimaging findings to clinical use, such as evaluating longitudinal effects of antidepressant medications and developing individualized neuromodulation targets, while building an open repository for the scientific community.
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Affiliation(s)
- Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bin Lu
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Hui-Xian Li
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing 101408, China
| | - Yu-Wei Wang
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY 10016, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, NY 10962, USA
| | - Li-Ping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | | | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, Zhejiang, China
| | - Yu-Qi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Shi-Xian Cui
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhao-Yu Deng
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yi-Ru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Qi-Yong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610044, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610052, China
| | - Wen-Bin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zheng-Jia-Yi Hu
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - Bao-Juan Li
- Xijing Hospital of Air Force Military Medical University, Xi'an, Shaanxi 710032, China
| | - Le Li
- Center for Cognitive Science of Language, Beijing Language and Culture University, Beijing 100083, China
| | - Tao Li
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310063, China
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan 610044, China
| | - Tao Lian
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yi-Fan Liao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215003, China
| | - Zhe-Ning Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jian-Ping Lu
- Shenzhen Kangning Hospital, Shenzhen, Guangzhou 518020, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - Dai-Hui Peng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang 311121, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Yan-Qing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110122, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100120, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110122, China
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210024, China
| | - Hua-Ning Wang
- Xijing Hospital of Air Force Military Medical University, Xi'an, Shaanxi 710032, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China
| | - Xiang Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 250024, China
| | - Zi-Han Wang
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an, Shaanxi 710004, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
- Chongqing Key Laboratory of Neurobiology, Chongqing 400000, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - Xiu-Feng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- Chongqing Key Laboratory of Neurobiology, Chongqing 400000, China
| | - Shu-Qiao Yao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yong-Qiang Yu
- The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230032, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wei Zhang
- West China Hospital of Sichuan University, Chengdu, Sichuan 610044, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xi-Nian Zuo
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100091, China
- National Basic Science Data Center, Beijing 100038, China
| | - Jing-Ping Zhao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang 310018, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 310000, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing 101408, China
- Sino-Danish Center for Education and Research, Graduate University of Chinese Academy of Sciences, Beijing 101408, China
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Tang HX, Zhang L, Wei YH, Li CS, Hu B, Zhao JP, Mokadam NA, Zhu H, Lin J, Tian SF, Zhou XF. Bullectomy used to treat a patient with pulmonary vesicles related to COVID-19: A case report. World J Clin Cases 2022; 10:1086-1092. [PMID: 35127923 PMCID: PMC8790432 DOI: 10.12998/wjcc.v10.i3.1086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/27/2021] [Accepted: 12/23/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The corona virus disease 2019 (COVID-19) has been a pandemic for more than one year and estimated to affect the whole world in the near future.
CASE SUMMARY Here we reported that one COVID-19 patient with vesicles was treated by bullectomy. The patient’s perioperative laboratory tests were analyzed. The pathological findings of bullectomy were described and compared with those of common bulla cases.
CONCLUSION This patient with vesicles underwent bullectomy and had a poor prognosis. He showed diffuse alveolar damage and extensive necrosis in bullectomy specimen. We hope our report will be of interest for clinicians who will treat COVID-19 patients in the future.
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Affiliation(s)
- He-Xiao Tang
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Li Zhang
- Department of Cardiovascular Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Yan-Hong Wei
- Department of Internal Medicine & Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Chang-Sheng Li
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Bo Hu
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Jing-Ping Zhao
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Nahush A Mokadam
- Division of Cardiac Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Hua Zhu
- Division of Cardiac Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Jun Lin
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Su-Fang Tian
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Xue-Feng Zhou
- Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei Province, China
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Peng XJ, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Huang J, Zhao JP, Wu RR. Corrigendum: The association between cognitive deficits and clinical characteristic in first-episode drug naïve patients with schizophrenia. Front Psychiatry 2022; 13:1094791. [PMID: 36601523 PMCID: PMC9806678 DOI: 10.3389/fpsyt.2022.1094791] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fpsyt.2021.638773.].
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Affiliation(s)
- Xing-Jie Peng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Gang-Rui Hei
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ye Yang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Chen-Chen Liu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Mei Xiao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yu-Jun Long
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Ping Zhao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ren-Rong Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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Wang XJ, Li D, Jiao HC, Zhao JP, Lin H. Lipopolysaccharide inhibits hypothalamic Agouti-related protein gene expression via activating mechanistic target of rapamycin signaling in chicks. Gen Comp Endocrinol 2021; 313:113876. [PMID: 34371009 DOI: 10.1016/j.ygcen.2021.113876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/25/2021] [Accepted: 08/02/2021] [Indexed: 11/16/2022]
Abstract
Lipopolysaccharide (LPS) induces profound anorexia in birds. However, the neuronal regulatory network underlying LPS-provoked anorexia is unclear. To determine whether any cross talk occurs among hypothalamic mechanistic target of rapamycin (mTOR) and LPS in the regulation of appetite, we performed an intracerebroventricular injection of rapamycin (an mTOR inhibitor) on LPS-treated chicks. The results indicate that peripheral administrations of LPS decreased the agouti-related protein (AgRP) mRNA level, but increased the phosphorylated mTOR and nuclear factor-кB (NF-кB) protein level. Blocking mTOR significantly attenuated LPS-induced anorexia, AgRP suppression, and p-NF-кB increase. Thus, the results suggest that LPS causes anorexia via the mTOR-AgRP signaling pathway, and mTOR signaling is also associated with the regulation of LPS in p-NF-кB.
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Affiliation(s)
- X J Wang
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, China
| | - D Li
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, China
| | - H C Jiao
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, China
| | - J P Zhao
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, China
| | - H Lin
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, China.
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Wu Q, Wang X, Wang Y, Long YJ, Zhao JP, Wu RR. Developments in Biological Mechanisms and Treatments for Negative Symptoms and Cognitive Dysfunction of Schizophrenia. Neurosci Bull 2021; 37:1609-1624. [PMID: 34227057 PMCID: PMC8566616 DOI: 10.1007/s12264-021-00740-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 04/05/2021] [Indexed: 12/12/2022] Open
Abstract
The causal mechanisms and treatment for the negative symptoms and cognitive dysfunction in schizophrenia are the main issues attracting the attention of psychiatrists over the last decade. The first part of this review summarizes the pathogenesis of schizophrenia, especially the negative symptoms and cognitive dysfunction from the perspectives of genetics and epigenetics. The second part describes the novel medications and several advanced physical therapies (e.g., transcranial magnetic stimulation and transcranial direct current stimulation) for the negative symptoms and cognitive dysfunction that will optimize the therapeutic strategy for patients with schizophrenia in future.
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Affiliation(s)
- Qiongqiong Wu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Xiaoyi Wang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Ying Wang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Yu-Jun Long
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Jing-Ping Zhao
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
| | - Ren-Rong Wu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
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Ding YD, Yang R, Yan CG, Chen X, Bai TJ, Bo QJ, Chen GM, Chen NX, Chen TL, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Hou ZH, Hu L, Kuang L, Li F, Li T, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Tang Y, Wang CY, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zhang AX, Zhang H, Zhang KR, Zhang L, Zhang ZJ, Zhou RB, Zhou YT, Zhu JJ, Zou CJ, Si TM, Zang YF, Zhao JP, Guo WB. Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project. J Affect Disord 2021; 284:217-228. [PMID: 33609956 DOI: 10.1016/j.jad.2021.02.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 01/18/2021] [Accepted: 02/07/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Functional specialization is a feature of human brain for understanding the pathophysiology of major depressive disorder (MDD). The degree of human specialization refers to within and cross hemispheric interactions. However, most previous studies only focused on interhemispheric connectivity in MDD, and the results varied across studies. Hence, brain functional connectivity asymmetry in MDD should be further studied. METHODS Resting-state fMRI data of 753 patients with MDD and 451 healthy controls were provided by REST-meta-MDD Project. Twenty-five project contributors preprocessed their data locally with the Data Processing Assistant State fMRI software and shared final indices. The parameter of asymmetry (PAS), a novel voxel-based whole-brain quantitative measure that reflects inter- and intrahemispheric asymmetry, was reported. We also examined the effects of age, sex and clinical variables (including symptom severity, illness duration and three depressive phenotypes). RESULTS Compared with healthy controls, patients with MDD showed increased PAS scores (decreased hemispheric specialization) in most of the areas of default mode network, control network, attention network and some regions in the cerebellum and visual cortex. Demographic characteristics and clinical variables have significant effects on these abnormalities. LIMITATIONS Although a large sample size could improve statistical power, future independent efforts are needed to confirm our results. CONCLUSIONS Our results highlight the idea that many brain networks contribute to broad clinical pathophysiology of MDD, and indicate that a lateralized, efficient and economical brain information processing system is disrupted in MDD. These findings may help comprehensively clarify the pathophysiology of MDD in a new hemispheric specialization perspective.
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Key Words
- DLPFC, Dorsolateral prefrontal cortex
- DMN, Default mode network
- DPARSF, Data Processing Assistant for Resting-State fMRI
- DSM, Diagnosic and Statistical Manual of Mental Disorders
- EEG, Electroencephalographic
- FC, Functional connectivity
- FDR, False discovery rate
- FEDN, First-episode, drug-naive
- FEF, Frontal eye fields
- HAMD, Hamilton Depression Rating Scale
- HC, Healthy control
- IFG, Inferior frontal gyrus
- IPL, Inferior parietal lobule
- IPS/SPL, Intraparietal sulcus/superior parietal lobule
- LMM, Linear mixed model
- MDD, Major depressive disorder
- MFG, Middle frontal gyrus
- MTG, Middle temporal gyrus
- Major depressive disorder
- PAS, Parameter of asymmetry
- PCC, Posterior cingulate cortex
- PET, Positron emission tomography
- ROIs, Regions of interest
- STS, Superior temporal sulcus
- VMHC, Voxel-mirrored homotopic connectivity
- fMRI Abbreviations ACC, Anterior cingulate gyrus
- fMRI, Functional magnetic resonance imaging
- hemispheric asymmetry
- parameter of asymmetry
- rTMS, repetitive transcranial magnetic stimulation
- rs-fMRI, Resting-state fMRI
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Affiliation(s)
- Yu-Dan Ding
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | | | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ning-Xuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Tao-Lin Chen
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Chang Cheng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Xi-Long Cui
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Zheng-Hua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhe-Ning Liu
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China
| | - Yi-Cheng Long
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang 311121, China
| | - Yu-Shu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yanqing Tang
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xiang Wang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | | | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiu-Feng Xu
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Jia-Shu Yao
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Shu-Qiao Yao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Ai-Xia Zhang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030006, China
| | - Lei Zhang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650221, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China; Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 311121, China
| | - Jing-Ping Zhao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Wen-Bin Guo
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China.
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Li HJ, Zhang C, Hui L, Zhou DS, Li Y, Zhang CY, Wang C, Wang L, Li W, Yang Y, Qu N, Tang J, He Y, Zhou J, Yang Z, Li X, Cai J, Yang L, Chen J, Fan W, Tang W, Tang W, Jia QF, Liu W, Zhuo C, Song X, Liu F, Bai Y, Zhong BL, Zhang SF, Chen J, Xia B, Lv L, Liu Z, Hu S, Li XY, Liu JW, Cai X, Yao YG, Zhang Y, Yan H, Chang S, Zhao JP, Yue WH, Luo XJ, Chen X, Xiao X, Fang Y, Li M. Novel Risk Loci Associated With Genetic Risk for Bipolar Disorder Among Han Chinese Individuals: A Genome-Wide Association Study and Meta-analysis. JAMA Psychiatry 2021; 78:320-330. [PMID: 33263727 PMCID: PMC7711567 DOI: 10.1001/jamapsychiatry.2020.3738] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [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: 12/14/2022]
Abstract
IMPORTANCE The genetic basis of bipolar disorder (BD) in Han Chinese individuals is not fully understood. OBJECTIVE To explore the genetic basis of BD in the Han Chinese population. DESIGN, SETTING, AND PARTICIPANTS A genome-wide association study (GWAS), followed by independent replication, was conducted to identify BD risk loci in Han Chinese individuals. Individuals with BD were diagnosed based on DSM-IV criteria and had no history of schizophrenia, mental retardation, or substance dependence; individuals without any personal or family history of mental illnesses, including BD, were included as control participants. In total, discovery samples from 1822 patients and 4650 control participants passed quality control for the GWAS analysis. Replication analyses of samples from 958 patients and 2050 control participants were conducted. Summary statistics from the European Psychiatric Genomics Consortium 2 (PGC2) BD GWAS (20 352 cases and 31 358 controls) were used for the trans-ancestry genetic correlation analysis, polygenetic risk score analysis, and meta-analysis to compare BD genetic risk between Han Chinese and European individuals. The study was performed in February 2020. MAIN OUTCOMES AND MEASURES Single-nucleotide variations with P < 5.00 × 10-8 were considered to show genome-wide significance of statistical association. RESULTS The Han Chinese discovery GWAS sample included 1822 cases (mean [SD] age, 35.43 [14.12] years; 838 [46%] male) and 4650 controls (mean [SD] age, 27.48 [5.97] years; 2465 [53%] male), and the replication sample included 958 cases (mean [SD] age, 37.82 [15.54] years; 412 [43%] male) and 2050 controls (mean [SD] age, 27.50 [6.00] years; 1189 [58%] male). A novel BD risk locus in Han Chinese individuals was found near the gene encoding transmembrane protein 108 (TMEM108, rs9863544; P = 2.49 × 10-8; odds ratio [OR], 0.650; 95% CI, 0.559-0.756), which is required for dendritic spine development and glutamatergic transmission in the dentate gyrus. Trans-ancestry genetic correlation estimation (ρge = 0.652, SE = 0.106; P = 7.30 × 10-10) and polygenetic risk score analyses (maximum liability-scaled Nagelkerke pseudo R2 = 1.27%; P = 1.30 × 10-19) showed evidence of shared BD genetic risk between Han Chinese and European populations, and meta-analysis identified 2 new GWAS risk loci near VRK2 (rs41335055; P = 4.98 × 10-9; OR, 0.849; 95% CI, 0.804-0.897) and RHEBL1 (rs7969091; P = 3.12 × 10-8; OR, 0.932; 95% CI, 0.909-0.956). CONCLUSIONS AND RELEVANCE This GWAS study identified several loci and genes involved in the heritable risk of BD, providing insights into its genetic architecture and biological basis.
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Affiliation(s)
- Hui-Juan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chen Zhang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Li Hui
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Dong-Sheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Yi Li
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Chuang Wang
- Department of Pharmacology and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, Zhejiang, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China
| | - Na Qu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China,Key Laboratory of Medical Neurobiology of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Ying He
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Jun Zhou
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Zihao Yang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Xingxing Li
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Jun Cai
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Lu Yang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Chen
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weixing Fan
- Jinhua Second Hospital, Jinhua, Zhejiang, China
| | - Wei Tang
- Department of Psychiatry, The Affiliated Kangning Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wenxin Tang
- Hangzhou Seventh People’s Hospital, Hangzhou, Zhejiang, China
| | - Qiu-Fang Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Weiqing Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory (PNGC-Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center, Mental Health Teaching Hospital, Tianjin Medical University, Tianjin, China
| | - Xueqin Song
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fang Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Yan Bai
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Bao-Liang Zhong
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Shu-Fang Zhang
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Jing Chen
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Bin Xia
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, Hubei, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China,Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan, China,Henan Province People’s Hospital, Zhengzhou, Henan, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, Hubei, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China,The Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiao-Yan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Jie-Wei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin Cai
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Hao Yan
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Suhua Chang
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Wei-Hua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China,National Health Commission (NHC) Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China,Peking-Tsinghua Joint Center for Life Sciences and Peking University (PKU) International Data Group (IDG)/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xiong-Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xiaogang Chen
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,National Clinical Research Center for Mental Disorders, Changsha, Hunan, China,National Technology Institute of Mental Disorders, Changsha, Hunan, China,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China,Mental Health Institute of Central South University, Changsha, Hunan, China,Hunan Medical Center for Mental Health, Changsha, Hunan, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China,Kunming Institute of Zoology–The Chinese University of Hong Kong (KIZ-CUHK) Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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9
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Peng XJ, Hei GR, Li RR, Yang Y, Liu CC, Xiao JM, Long YJ, Shao P, Huang J, Zhao JP, Wu RR. The Association Between Metabolic Disturbance and Cognitive Impairments in Early-Stage Schizophrenia. Front Hum Neurosci 2021; 14:599720. [PMID: 33692676 PMCID: PMC7937877 DOI: 10.3389/fnhum.2020.599720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/28/2020] [Indexed: 01/10/2023] Open
Abstract
Background: Cognitive impairment is one of the core symptoms of schizophrenia, which is considered to be significantly correlated to prognosis. In recent years, many studies have suggested that metabolic disorders could be related to a higher risk of cognitive defects in a general setting. However, there has been limited evidence on the association between metabolism and cognitive function in patients with early-stage schizophrenia. Methods: In this study, we recruited 172 patients with early-stage schizophrenia. Relevant metabolic parameters were examined and cognitive function was evaluated by using the MATRICS Consensus Cognitive Battery (MCCB) to investigate the relationship between metabolic disorder and cognitive impairment. Results: Generally, the prevalence of cognitive impairment among patients in our study was 84.7% (144/170), which was much higher than that in the general population. Compared with the general Chinese setting, the study population presented a higher proportion of metabolic disturbance. Patients who had metabolic disturbance showed no significant differences on cognitive function compared with the other patients. Correlation analysis showed that metabolic status was significantly correlated with cognitive function as assessed by the cognitive domain scores (p < 0.05), while such association was not found in further multiple regression analysis. Conclusions: Therefore, there may be no association between metabolic disorder and cognitive impairment in patients with early-stage schizophrenia. Trial Registration: Clinicaltrials.gov, NCT03451734. Registered March 2, 2018 (retrospectively registered).
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Affiliation(s)
- Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ran-Ran Li
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ping Shao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China.,Brain Hospital of Hunan Province, Changsha, China
| | - Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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Peng XJ, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Huang J, Zhao JP, Wu RR. Corrigendum: The Association Between Cognitive Deficits and Clinical Characteristic in First-Episode Drug Naïve Patients With Schizophrenia. Front Psychiatry 2021; 12:678836. [PMID: 33967866 PMCID: PMC8104078 DOI: 10.3389/fpsyt.2021.678836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 03/29/2021] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fpsyt.2021.638773.].
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Affiliation(s)
- Xing-Jie Peng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Gang-Rui Hei
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ye Yang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Chen-Chen Liu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Mei Xiao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yu-Jun Long
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Ping Zhao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ren-Rong Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University; National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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Peng XJ, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Huang J, Zhao JP, Wu RR. The Association Between Cognitive Deficits and Clinical Characteristic in First-Episode Drug Naïve Patients With Schizophrenia. Front Psychiatry 2021; 12:638773. [PMID: 33716832 PMCID: PMC7950319 DOI: 10.3389/fpsyt.2021.638773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/29/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Schizophrenia is a severe mental disease which characterized by positive symptom, negative symptom, general pathology syndrome and cognitive deficits. In recent years, many studies have investigated the relationship between cognitive deficits and clinical characteristics in schizophrenia, but relatively few studies have been performed on first-episode drug-naïve patients. Methods: Eighty seven first-episode drug-naïve schizophrenia patients were assessed for positive symptom, negative symptom, general pathology symptom and cognitive deficits from the Positive and Negative Symptom Scale and MATRICS Consensus Cognitive Battery. Psychotics depression were assessed using the Calgary depressing scale for schizophrenia. The relationship between clinical characteristics and cognitive deficits were assessed using correlation analysis and linear regression analysis. Results: The prevalence of cognitive deficits among the patients in our study was 85.1% (74/87) which was much higher than that in the general population. According to correlation analysis, negative symptom was negatively correlated with speed of processing and social cognition, and general pathology showed a negative correlation with attention/vigilance. In addition, a positive correlation was found between age and speed of processing. No correlation was found between cognitive deficits and positive symptom. Conclusions: This study confirmed that negative symptom is negatively related with some domains of cognitive function in first-episode drug naïve schizophrenia patients. Trail Registration: NCT03451734. Registered March 2, 2018 (retrospectively registered).
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Affiliation(s)
- Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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12
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Liang S, Deng W, Li X, Greenshaw AJ, Wang Q, Li M, Ma X, Bai TJ, Bo QJ, Cao J, Chen GM, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Guo WB, Hou ZH, Hu L, Kuang L, Li F, Li KM, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Si TM, Wang CY, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yu H, Yao JS, Yao SQ, Yin YY, Yuan YG, Zang YF, Zhang AX, Zhang H, Zhang KR, Zhang ZJ, Zhao JP, Zhou RB, Zhou YT, Zou CJ, Zuo XN, Yan CG, Li T. Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns. Neuroimage Clin 2020; 28:102514. [PMID: 33396001 PMCID: PMC7724374 DOI: 10.1016/j.nicl.2020.102514] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 05/07/2020] [Revised: 11/20/2020] [Accepted: 11/22/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is heterogeneous disorder associated with aberrant functional connectivity within the default mode network (DMN). This study focused on data-driven identification and validation of potential DMN-pattern-based MDD subtypes to parse heterogeneity of the disorder. METHODS The sample comprised 1397 participants including 690 patients with MDD and 707 healthy controls (HC) registered from multiple sites based on the REST-meta-MDD Project in China. Baseline resting-state functional magnetic resonance imaging (rs-fMRI) data was recorded for each participant. Discriminative features were selected from DMN between patients and HC. Patient subgroups were defined by K-means and principle component analysis in the multi-site datasets and validated in an independent single-site dataset. Statistical significance of resultant clustering were confirmed. Demographic and clinical variables were compared between identified patient subgroups. RESULTS Two MDD subgroups with differing functional connectivity profiles of DMN were identified in the multi-site datasets, and relatively stable in different validation samples. The predominant dysfunctional connectivity profiles were detected among superior frontal cortex, ventral medial prefrontal cortex, posterior cingulate cortex and precuneus, whereas one subgroup exhibited increases of connectivity (hyperDMN MDD) and another subgroup showed decreases of connectivity (hypoDMN MDD). The hyperDMN subgroup in the discovery dataset had age-related severity of depressive symptoms. Patient subgroups had comparable demographic and clinical symptom variables. CONCLUSIONS Findings suggest the existence of two neural subtypes of MDD associated with different dysfunctional DMN connectivity patterns, which may provide useful evidence for parsing heterogeneity of depression and be valuable to inform the search for personalized treatment strategies.
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Affiliation(s)
- Sugai Liang
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Wei Deng
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Xiaojing Li
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Andrew J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton T6G 2B7, AB, Canada
| | - Qiang Wang
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Mingli Li
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Tong-Jian Bai
- Anhui Medical University, Hefei 230032, Anhui, China
| | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100069, China
| | - Jun Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Chang Cheng
- The Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming 650211, Yunnan, China
| | - Xi-Long Cui
- The Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu 610040, Sichuan, China
| | - Wen-Bin Guo
- The Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Zheng-Hua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210096, Jiangsu, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100069, China
| | - Kai-Ming Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215031, Jiangsu, China
| | - Zhe-Ning Liu
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Yi-Cheng Long
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Hua-Qing Meng
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215031, Jiangsu, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou 311121, Zhejiang, China
| | - Yu-Shu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100069, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning, China
| | - Kai Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100069, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing 100191, China
| | - Xiang Wang
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an 710032, Shaanxi, China
| | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400715, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210096, Jiangsu, China
| | - Guang-Rong Xie
- The Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiu-Feng Xu
- First Affiliated Hospital of Kunming Medical University, Kunming 650211, Yunnan, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, 710049 Shaanxi, China
| | - Hua Yu
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Jia-Shu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Shu-Qiao Yao
- The Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210096, Jiangsu, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210096, Jiangsu, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 311121, Zhejiang, China
| | - Ai-Xia Zhang
- The First Affiliated Hospital of Xi'an Jiaotong University, 710049 Shaanxi, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an 710032, Shaanxi, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan 030607, Shanxi, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing 210096, Jiangsu, China
| | - Jing-Ping Zhao
- The Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha 410083, Hunan, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming 650211, Yunnan, China
| | - Xi-Nian Zuo
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Tao Li
- Mental Health Center & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; West China Brain Research Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
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Wang X, Hu ZW, Hu Y, Cheng Y, Zhang H, Li HC, Ma J, Wang GF, Zhao JP. [Comparison of severity classification of Chinese protocol, pneumonia severity index and CURB-65 in risk stratification and prognostic assessment of coronavirus disease 2019]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:834-838. [PMID: 32992436 DOI: 10.3760/cma.j.cn112147-20200226-00186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the application of severity classification according to the protocol on the Diagnosis and Treatment of coronavirus disease 2019(COVID-19)by the National Health Commission of China, pneumonia severity index(PSI) and CURB-65 in risk stratification and prognostic assessment of COVID-19. Methods: Clinical data of 234 in-hospital patients with COVID-19 were collected and retrospectively reviewed in Wuhan Tongji Hospital. Patients were divided into 3 groups (common, severe, and critical type) at admission according to the sixth version of the protocol issued by the National Health Commission of China on Diagnosis and Treatment of COVID-19. At the same time, the severity of pneumonia was calculated by PSI and CURB-65, and the patients were stratified into 3 risk groups, namely mild, moderate, and severe groups. The hospital mortality rate was evaluated in each group. Sensitivity, specificity, positive predictive values, negative predictive values, and the area under the receiver operating characteristic(ROC) curve(AUC) for predicting hospital mortality in each rule were assessed. Results: According to the severity classification of Chinese protocol, the proportion of patients with common type, severe type, and the critical type was 15.8%, 75.6%, and 8.5%, respectively. No in-hospital death occurred in the common type. As for PSI and CURB-65, greater proportions of patients were classified as low risk(79.1% and 75.6%, respectively), while smaller proportions of patients were classified as moderate and high risk(16.2%, 15.0%; 4.7%, 9.4%, respectively). In-hospital death occurred in low and moderate risk patients identified by these 2 scoring systems. The mortality of the critical group of the Chinese protocol was 65%, and the sensitivity and specificity of predicting in-hospital mortality were 36.4% and 97.0%, respectively. The mortality in the high risk group of PSI and CURB-65 was 100% and 77.3%. The risk class V of PSI and CURB-65 score 3-5 had high specificity(100% and 97.4%, respectively)but low sensitivity(33.3% and 51.5%, respectively)in predicting in-hospital mortality. The AUC of the Chinese protocol severity classification, PSI, and CURB-65 was 0.735, 0.951, and 0.912. The optimal cut-off point of PSI was risk class Ⅳ, and the sensitivity and specificity for predicting mortality were 90.9% and 90.5%. The optimal cut-off point of CURB-65 was score 2, and the corresponding sensitivity and specificity were 84.8% and 85.6%. Conclusions: PSI and CURB-65 can be used for risk stratification and prognostic assessment in patients with COVID-19.
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Affiliation(s)
- X Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - Z W Hu
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - Y Hu
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - Y Cheng
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - H Zhang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - H C Li
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - J Ma
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - G F Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing 100034, China
| | - J P Zhao
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Wuhan 430030, China
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Chen C, Chen C, Yan JT, Zhou N, Zhao JP, Wang DW. [Analysis of myocardial injury in patients with COVID-19 and association between concomitant cardiovascular diseases and severity of COVID-19]. Zhonghua Xin Xue Guan Bing Za Zhi 2020; 48:567-571. [PMID: 32141280 DOI: 10.3760/cma.j.cn112148-20200225-00123] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: To evaluate the cardiovascular damage of patients with COVID-19, and determine the correlation of serum N-terminal pro B-type natriuretic peptide (NT-proBNP) and cardiac troponin-I (cTnI) with the severity of COVID-19, and the impact of concomitant cardiovascular disease on severity of COVID-19 was also evaluated. Methods: A cross-sectional study was designed on 150 consecutive patients with COVID-19 in the fever clinic of Tongji Hospital in Wuhan from January 19 to February 13 in 2020, including 126 mild cases and 24 cases in critical care. Both univariate and multivariate logistic regression were used to analyze the correlation of past medical history including hypertension, diabetes and coronary heart disease (CHD), as well as the levels of serum NT-proBNP and cTnI to the disease severity of COVID-19 patients. Results: Age, hypersensitive C-reactive protein(hs-CRP) and serum creatinine levels of the patients were higher in critical care cases than in mild cases(all P<0.05). Prevalence of male, elevated NT-proBNP and cTnI, hypertension and coronary heart disease were significantly higher in critical cases care patients than in the mild cases(all P<0.05). Univariate logistic regression analysis showed that age, male, elevated NT-proBNP, elevated cTnI, elevated hs-CRP, elevated serum creatinine, hypertension, and CHD were significantly correlated with critical disease status(all P<0.05). Multivariate logistic regression analysis showed that elevated cTnI(OR=26.909,95%CI 4.086-177.226,P=0.001) and CHD (OR=16.609,95%CI 2.288-120.577,P=0.005) were the independent risk factors of critical disease status. Conclusions: COVID-19 can significantly affect the heart function and lead to myocardial injury. The past medical history of CHD and increased level of cTnI are 2 independent determinants of clinical disease status in patients with COVID-19.
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Affiliation(s)
- C Chen
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - C Chen
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J T Yan
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - N Zhou
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - J P Zhao
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - D W Wang
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Wu L, Yu YH, Li L, Xu LY, Ruan XX, Lin CB, Zhao JP. [Clinical effect of nebulized acetylcysteine inhalation combined with bronchoscopy in the treatment of elderly patients with severe ventilator-associated pneumonia]. Zhonghua Shao Shang Za Zhi 2020; 36:267-272. [PMID: 32340416 DOI: 10.3760/cma.j.cn501120-20200229-00107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the clinical effect of nebulized acetylcysteine inhalation combined with bronchoscopy in treating elderly patients with severe ventilator-associated pneumonia (VAP). Methods: From January 2016 to December 2017, 80 elderly patients with severe VAP who were hospitalized in Zhejiang Hospital were divided into acetylcysteine+ bronchoscopy group [24 males and 16 females, aged (78±7) years] and bronchoscopy group [26 males and 14 females, aged (80±7) years]using random number table for a prospective cohort study. Patients in bronchoscopy group were treated with bronchoscopy in addition to conventional supportive care of symptoms. Patients in acetylcysteine+ bronchoscopy group received nebulized acetylcysteine inhalation therapy on the basis of the treatment given to patients in bronchoscopy group. Patients in both groups received treatment continuously for 7 days. The simplified clinical pulmonary infection score (CPIS) in both groups was assessed before and after treatment. Venous blood of 10 mL was collected before and after treatment to detect leukocyte count, serum C-reactive protein, and procalcitonin. Arterial blood of 1 mL was collected before and after treatment to detect partial arterial oxygen pressure (PaO(2)), partial arterial carbon dioxide pressure (PaCO(2)), oxygenation index. The inhalation platform pressure (Pplat), dynamic lung compliance (Cdyn), airway resistance, work of breathing, time of antibiotic use, and time of mechanical ventilation of patients in two groups were recorded before and after treatment. Data were statistically analyzed with chi-square test and t test. Results: (1) The simplified CPIS, leukocyte count, serum C-reactive protein, and procalcitonin of patients in acetylcysteine+ bronchoscopy group were significantly lower than those in bronchoscopy group after treatment (t=2.32, 2.15, 6.08, 7.12, P<0.05 or P<0.01). The simplified CPIS, leukocyte count, serum C-reactive protein, and procalcitonin of patients in acetylcysteine+ bronchoscopy group and bronchoscopy group after treatment were significantly lower than those before treatment (t=13.76, 13.60, 12.70, 8.32, 11.44, 14.28, 9.48, 9.50, P<0.01). (2) Compared with bronchoscopy group, patients in acetylcysteine+ bronchoscopy group had significantly higher PaO(2) and oxygenation index (t=4.14, 2.55, P<0.05 or P<0.01) but significantly lower PaCO(2) (t=4.36, P<0.01) after treatment. The PaO(2) and oxygenation index of patients in acetylcysteine+ bronchoscopy group after treatment were significantly higher than those before treatment (t=10.90, 43.72, P<0.01). The PaO(2) and oxygenation index of patients in bronchoscopy group after treatment were also significantly higher than those before treatment (t=6.55, 43.03, P<0.01). The PaCO(2) of patients in both groups after treatment were significantly lower than those before treatment (t=21.54, 21.92, P<0.01). (3) The Cdyn of patients in acetylcysteine+ bronchoscopy group after treatment was significantly higher than that in bronchoscopy group (t=5.41, P<0.01), and Pplat, airway resistance, and work of breathing were significantly lower than those in bronchoscopy group (t=2.18, 5.46, 2.49, P<0.05 or P<0.01). The Cdyn of patients in both groups after treatment were significantly higher than those before treatment (t=16.10, 10.90, P<0.01), and Pplat, airway resistance, and work of breathing were significantly lower than those before treatment (t=21.18, 11.13, 9.32, 15.50, 5.17, 5.97, P<0.01). (4)The time of mechanical ventilation and antibiotic usage of patients in acetylcysteine+ bronchoscopy group were (6.9±1.9)and (8.7±2.8) d, respectively, which were significantly shorter than (10.1±2.2) and (11.6±3.5) d in bronchoscopy group (t=6.85, 4.09, P<0.01). Conclusions: Nebulized acetylcysteine inhalation combined with bronchoscopy can significantly control the degree of lung infection in elderly patients with severe VAP, improve patients' respiratory mechanics parameter and blood gas analysis indicator, and shorten the time for mechanical ventilation and antibiotic usage.
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Affiliation(s)
- L Wu
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - Y H Yu
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - L Li
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - L Y Xu
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - X X Ruan
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - C B Lin
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
| | - J P Zhao
- Department of Critical Care Medicine, Zhejiang Hospital, Hangzhou 310013, China
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16
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Huang J, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Peng XJ, Yang Y, Zhao JP, Wu RR. Corrigendum: Increased Appetite Plays a Key Role in Olanzapine-Induced Weight Gain in First-Episode Schizophrenia Patients. Front Pharmacol 2020; 11:878. [PMID: 32587520 PMCID: PMC7298062 DOI: 10.3389/fphar.2020.00878] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 05/27/2020] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fphar.2020.00739.].
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Affiliation(s)
- Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yi Yang
- Mental Health Institute, Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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17
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Huang J, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Peng XJ, Yang Y, Zhao JP, Wu RR. Increased Appetite Plays a Key Role in Olanzapine-Induced Weight Gain in First-Episode Schizophrenia Patients. Front Pharmacol 2020; 11:739. [PMID: 32528286 PMCID: PMC7256453 DOI: 10.3389/fphar.2020.00739] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [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: 03/05/2020] [Accepted: 05/04/2020] [Indexed: 01/10/2023] Open
Abstract
Weight gain and metabolic disturbances, potentially influenced by increased appetite, are common effects of olanzapine treatment in patients with schizophrenia. In this study, we explored the association between olanzapine-induced weight gain and metabolic effects with increased appetite. Drug-naïve, first-episode schizophrenia patients were treated with olanzapine for 12 weeks. Assessments included time to increased appetite, body weight, body mass index, biochemical indicators of blood glucose and lipids, proportion of patients who gained more than 7% or 10% of their baseline weight upon treatment conclusion, patients who developed dyslipidemia, and Positive and Negative Syndrome Scale scores. In total, 33 patients with schizophrenia receiving olanzapine were enrolled and 31 completed the study. During the 12-week olanzapine treatment, 77.4% (24/31) patients had increased appetite with 58.1% (18/31) patients having increased appetite within the first 4 weeks. The mean time for increased appetite was 20.3 days. More patients in the increased appetite group increased their initial body weight by more than 7% after 12 weeks when compared to patients with unchanged appetite (22/24 [91.7%] vs. 3/7 [42.9%], p = 0.004). Earlier increased appetite led to more weight gain during the following month. Overall, 50% of patients in the increased appetite group had dyslipidemia after 12 weeks. Our results demonstrated that olanzapine induced significantly appetite increase in first-episode patients with schizophrenia and appetite increase played a key role in olanzapine-induced weight gain and dyslipidemia. Clinical Trial Registration NCT03451734. Registered March 2, 2018 (retrospectively registered).
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Affiliation(s)
- Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yi Yang
- Mental Health Institute, Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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18
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Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Chen Y, Peng P, Zhang P, Chu Q, Shen Q, Wang Y, Xu SY, Zhao JP, Zhou M. Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. Ann Oncol 2020; 31:894-901. [PMID: 32224151 PMCID: PMC7270947 DOI: 10.1016/j.annonc.2020.03.296] [Citation(s) in RCA: 983] [Impact Index Per Article: 245.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 03/22/2020] [Accepted: 03/23/2020] [Indexed: 02/06/2023] Open
Abstract
Background Cancer patients are regarded as a highly vulnerable group in the current Coronavirus Disease 2019 (COVID-19) pandemic. To date, the clinical characteristics of COVID-19-infected cancer patients remain largely unknown. Patients and methods In this retrospective cohort study, we included cancer patients with laboratory-confirmed COVID-19 from three designated hospitals in Wuhan, China. Clinical data were collected from medical records from 13 January 2020 to 26 February 2020. Univariate and multivariate analyses were carried out to assess the risk factors associated with severe events defined as a condition requiring admission to an intensive care unit, the use of mechanical ventilation, or death. Results A total of 28 COVID-19-infected cancer patients were included; 17 (60.7%) patients were male. Median (interquartile range) age was 65.0 (56.0–70.0) years. Lung cancer was the most frequent cancer type (n = 7; 25.0%). Eight (28.6%) patients were suspected to have hospital-associated transmission. The following clinical features were shown in our cohort: fever (n = 23, 82.1%), dry cough (n = 22, 81%), and dyspnoea (n = 14, 50.0%), along with lymphopaenia (n = 23, 82.1%), high level of high-sensitivity C-reactive protein (n = 23, 82.1%), anaemia (n = 21, 75.0%), and hypoproteinaemia (n = 25, 89.3%). The common chest computed tomography (CT) findings were ground-glass opacity (n = 21, 75.0%) and patchy consolidation (n = 13, 46.3%). A total of 15 (53.6%) patients had severe events and the mortality rate was 28.6%. If the last antitumour treatment was within 14 days, it significantly increased the risk of developing severe events [hazard ratio (HR) = 4.079, 95% confidence interval (CI) 1.086–15.322, P = 0.037]. Furthermore, patchy consolidation on CT on admission was associated with a higher risk of developing severe events (HR = 5.438, 95% CI 1.498–19.748, P = 0.010). Conclusions Cancer patients show deteriorating conditions and poor outcomes from the COVID-19 infection. It is recommended that cancer patients receiving antitumour treatments should have vigorous screening for COVID-19 infection and should avoid treatments causing immunosuppression or have their dosages decreased in case of COVID-19 coinfection.
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Affiliation(s)
- L Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - F Zhu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Xie
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - R Chen
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Jia
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H Q Guan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Peng
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Chen
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Peng
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Chu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Shen
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Wang
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - S Y Xu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J P Zhao
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M Zhou
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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19
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Zhao JP, Hu Y, Du RH, Chen ZS, Jin Y, Zhou M, Zhang J, Qu JM, Cao B. [Expert consensus on the use of corticosteroid in patients with 2019-nCoV pneumonia]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:183-184. [PMID: 32164084 DOI: 10.3760/cma.j.issn.1001-0939.2020.03.008] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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20
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Zhao JP, Hu Y, Du RH, Chen ZS, Jin Y, Zhou M, Zhang J, Qu JM, Cao B. [Expert consensus on the use of corticosteroid in patients with 2019-nCoV pneumonia]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:E007. [PMID: 32034899 DOI: 10.3760/cma.j.issn.1001-0939.2020.0007] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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21
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Shan XX, Ou YP, Pan P, Ding YD, Zhao J, Liu F, Chen JD, Guo WB, Zhao JP. Increased frontal gray matter volume in individuals with prodromal psychosis. CNS Neurosci Ther 2019; 25:987-994. [PMID: 31129924 PMCID: PMC6698969 DOI: 10.1111/cns.13143] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 01/22/2019] [Revised: 03/27/2019] [Accepted: 04/07/2019] [Indexed: 01/10/2023] Open
Abstract
Background Brain anatomical deficits associated with cognitive dysfunction have been reported in patients with schizophrenia. However, it remains unknown whether such anatomical deficits exist in individuals with prodromal psychosis. The present study is designed to investigate anatomical deficits in prodromal individuals and their associations with clinical/cognitive features. Methods Seventy‐four prodromal individuals and seventy‐six healthy controls were scanned using structural magnetic resonance imaging. Support vector machines were applied to test whether anatomical deficits might be used to discriminate prodromal individuals from healthy controls. Results Prodromal individuals showed significantly increased gray matter volume (GMV) in the right inferior frontal gyrus (IFG) and right rectus gyrus relative to healthy controls. No correlations were observed between increased GMV and clinical/cognitive characteristics. The combination of increased GMV in the right rectus gyrus and right IFG showed a sensitivity of 74.32%, a specificity of 67.11%, and an accuracy of 70.67% in differentiating prodromal individuals from healthy controls. Conclusion Our results provide evidence of increased frontal GMV in prodromal individuals. A combination of GMV values in the two frontal brain areas may serve as potential markers to discriminate prodromal individuals from healthy controls. The results thus highlight the importance of the frontal regions in the pathophysiology of psychosis.
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Affiliation(s)
- Xiao-Xiao Shan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yang-Pan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Pan Pan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yu-Dan Ding
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jin Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jin-Dong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Wen-Bin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.,National Clinical Research Center on Mental Disorders, Changsha, China
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22
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Zhang L, An LT, Qiu Y, Shan XX, Zhao WL, Zhao JP, Li LH, Lang B, Wu RR. Effects of Aspirin in Rats With Ouabain Intracerebral Treatment-Possible Involvement of Inflammatory Modulation? Front Psychiatry 2019; 10:497. [PMID: 31379619 PMCID: PMC6646710 DOI: 10.3389/fpsyt.2019.00497] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 06/24/2019] [Indexed: 12/24/2022] Open
Abstract
Bipolar disorder (BD) is a chronic and refractory disease with high probability of morbidity and mortality. Although epidemiological studies have established a strong association between BD and immune dysfunction, the precise etiology is still debatable, and the underpinning mechanism remains poorly investigated and understood. In the present study, manic-like symptoms of BD were induced in rats after intracerebroventricular administration of ouabain. Aspirin, a commonly used anti-inflammatory agent, was used to treat the induced manic-like symptoms and inflammation. Concentrations of a spectrum of inflammatory cytokines were examined by enzyme-linked immunosorbent assay in both plasma and brain tissues, and expression of Toll-like receptors 3 and 4 were determined in rat brains. Locomotor activity was monitored with open-field test to assess the effects of ouabain challenge and to evaluate the treatment efficacy of aspirin. Ouabain administration recapitulated many mania-like features such as increased stereotypic counts, traveling distance in open-field test, and decreased expression of brain-derived neurotrophic factor, interferon gamma, and Toll-like receptor 3, which were frequently found in patients with BD. These abnormalities could be partially reversed by aspirin. Our findings suggest that aspirin could be used as a promising adjunctive therapy for BD.
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Affiliation(s)
- Lin Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Li-Ting An
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Yan Qiu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Xiao-Xiao Shan
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Wen-Li Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Le-Hua Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
| | - Bing Lang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,School of Medicine, Medical Sciences & Nutrition, Institute of Medical Science, University of Aberdeen, Aberdeen, United Kingdom.,Hunan Key Laboratory of Animal Models for Human Diseases, Central South University, Changsha, China
| | - Ren-Rong Wu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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23
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Li YM, Shen YD, Li YJ, Xun GL, Liu H, Wu RR, Xia K, Zhao JP, Ou JJ. Maternal dietary patterns, supplements intake and autism spectrum disorders: A preliminary case-control study. Medicine (Baltimore) 2018; 97:e13902. [PMID: 30593205 PMCID: PMC6314746 DOI: 10.1097/md.0000000000013902] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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: 02/05/2023] Open
Abstract
The aim of this study was first to investigate associations between maternal dietary patterns and autism spectrum disorders (ASDs) and second to investigate association between maternal supplement intake and ASD.We used a case-control study design to enroll typically developing (TD) children and children with ASD, and data were derived from the Autism Clinical and Environmental Database (ACED).Three seventy four children with AUTISM and 354 age matched TD children were included. The multivariate logistic regression model revealed that maternal unbalanced dietary patterns before conception had a significant increased risk of ASD in offspring (mostly meat: adjusted OR, 4.010 [95% CI, 1.080, 14.887]; mostly vegetable: adjusted OR, 2.234 [95% CI, 1.009, 4.946]); maternal supplementation of calcium during pregnancy preparation was associated with decreased ASD risk (adjusted OR, 0.480 [95% CI, 0.276, 0.836]).This study provided preliminary evidence that maternal unbalanced dietary patterns may be a risk factor for ASD and supplementation of calcium during pregnancy preparation may be inversely associated with ASD in offspring.
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Affiliation(s)
- Ya-Min Li
- Clinical Nursing Teaching and Research Section, the Second Xiangya Hospital, Central South University
| | - Yi-Dong Shen
- Department of Psychiatry & Mental Health Institute of the Second Xiangya Hospital, Central South University, the China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province
| | - Yong-Jiang Li
- Department of Pharmacy, the Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan
| | - Guang-Lei Xun
- Shandong Mental Health Center, 49 East Wenhua Road, Jinan, Shandong
| | - Huaqing Liu
- Beijing Huilongguan Hospital, Changping District, Beijing
| | - Ren-Rong Wu
- Department of Psychiatry & Mental Health Institute of the Second Xiangya Hospital, Central South University, the China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province
| | - Kun Xia
- The State Key Laboratory of Medical Genetics, No. 110 Xiangya Road, Changsha, Hunan, PR China
| | - Jing-Ping Zhao
- Department of Psychiatry & Mental Health Institute of the Second Xiangya Hospital, Central South University, the China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province
| | - Jian-Jun Ou
- Department of Psychiatry & Mental Health Institute of the Second Xiangya Hospital, Central South University, the China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province
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Wang Y, Xiao L, Chen RS, Chen C, Xun GL, Lu XZ, Shen YD, Wu RR, Xia K, Zhao JP, Ou JJ. Social impairment of children with autism spectrum disorder affects parental quality of life in different ways. Psychiatry Res 2018; 266:168-174. [PMID: 29864617 DOI: 10.1016/j.psychres.2018.05.057] [Citation(s) in RCA: 24] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 04/09/2018] [Accepted: 05/23/2018] [Indexed: 01/10/2023]
Abstract
This study evaluated the life quality of Chinese parents of preschool children with autism spectrum disorder (ASD) and their association with child social impairment and childcare burden. The participants included 406 families of children with ASD and 513 families with typically developing (TD) children. The findings indicated that parents in the ASD group had a lower quality of life than parents in the TD group, whereas only mother of children with ASD experienced a greater childcare burden than mother with TD children. Lower parental quality of life were associated with higher social impairment of children. To further clarify the correlativity of child social impairment, parental quality of life and childcare burden, the mediation analyses were conducted. The results showed that childcare burden mediated the influence of child social impairment on maternal quality of life, while it has no mediating effect on fathers. It implies that social impairment of children affects parental quality of life in different ways.
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Affiliation(s)
- Ying Wang
- Department of Psychiatry and Mental Health Institute, Second Xiangya Hospital, Central South University; Chinese National Clinical Research Center on Mental Disorders (Xiangya); Chinese National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, 139 Middle Renmin Road, Changsha 410011, Hunan, PR China
| | - Lu Xiao
- Xiangtan Maternal and Child Care Service Centre, 295 Donghu Road, Xiangtan, Hunan, PR China
| | - Run-Sen Chen
- Department of Psychiatry, University of Oxford, OX3 7JX, UK
| | - Chen Chen
- Shanghai Key Laboratory of Forensic Medicine, Institute of Forensic Science, The Ministry of Justice, 1347 West Guang Fu Road, Shanghai 200063, PR China
| | - Guang-Lei Xun
- Shandong Mental Health Center, 49 East Wenhua Road, Jinan 250014, Shandong, PR China
| | - Xiao-Zi Lu
- Qingdao Mental Health Center, 229 Nanjing Road, Qingdao 266034, Shangdong, PR China
| | - Yi-Dong Shen
- Department of Psychiatry and Mental Health Institute, Second Xiangya Hospital, Central South University; Chinese National Clinical Research Center on Mental Disorders (Xiangya); Chinese National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, 139 Middle Renmin Road, Changsha 410011, Hunan, PR China
| | - Ren-Rong Wu
- Department of Psychiatry and Mental Health Institute, Second Xiangya Hospital, Central South University; Chinese National Clinical Research Center on Mental Disorders (Xiangya); Chinese National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, 139 Middle Renmin Road, Changsha 410011, Hunan, PR China
| | - Kun Xia
- The State Key Laboratory of Medical Genetics, No.110 Xiangya Road, Changsha 410078, Hunan, PR China
| | - Jing-Ping Zhao
- Department of Psychiatry and Mental Health Institute, Second Xiangya Hospital, Central South University; Chinese National Clinical Research Center on Mental Disorders (Xiangya); Chinese National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, 139 Middle Renmin Road, Changsha 410011, Hunan, PR China.
| | - Jian-Jun Ou
- Department of Psychiatry and Mental Health Institute, Second Xiangya Hospital, Central South University; Chinese National Clinical Research Center on Mental Disorders (Xiangya); Chinese National Technology Institute on Mental Disorders; Hunan Key Laboratory of Psychiatry and Mental Health, 139 Middle Renmin Road, Changsha 410011, Hunan, PR China.
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Li RR, Lyu HL, Liu F, Lian N, Wu RR, Zhao JP, Guo WB. Altered functional connectivity strength and its correlations with cognitive function in subjects with ultra-high risk for psychosis at rest. CNS Neurosci Ther 2018; 24:1140-1148. [PMID: 29691990 DOI: 10.1111/cns.12865] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 03/28/2018] [Accepted: 03/29/2018] [Indexed: 12/21/2022] Open
Abstract
AIMS Evidence of altered structural and functional connectivity in the frontal-occipital network is associated with cognitive deficits in patients with schizophrenia. However, the altered patterns of functional connectivity strength (FCS) in individuals with ultra-high risk (UHR) for psychosis remain unknown. In this study, whole-brain FCS was assessed to examine the altered patterns of FCS in UHR subjects. METHODS A total of 34 UHR subjects and 37 age- and sex-matched healthy controls were enrolled to undergo resting-state functional magnetic resonance imaging. The imaging data were analyzed using the graph theory method. RESULTS Compared with healthy controls, UHR subjects showed significantly decreased FCS in the left middle frontal gyrus and significantly increased FCS in the left calcarine cortex. The FCS values in the left middle frontal gyrus were positively correlated to the scores of the Brief Assessments of Cognitionin Schizophrenia Symbol Coding Test (r = 0.366, P = 0.033) in the UHR subjects. A negative correlation was found between the FCS values in the left calcarine cortex and the scores of the Stroop color-naming test (r = -0.475, P = 0.016) in the UHR subjects. A combination of the FCS values in the 2 brain areas showed an accuracy of 87.32%, a sensitivity of 73.53%, and a specificity of 100% for distinguishing UHR subjects from healthy controls. CONCLUSIONS Significantly altered FCS in the frontal-occipital network is observed in the UHR subjects. Furthermore, decreased FCS in the left middle frontal gyrus and increased FCS in the left calcarine have significant correlations with the cognitive measures of the UHR subjects and thus improve our understanding of the underlying pathophysiological mechanisms of schizophrenia. Moreover, a combination of the FCS values in the 2 brain areas can serve as a potential image marker to distinguish UHR subjects from healthy controls.
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Affiliation(s)
- Ran-Ran Li
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hai-Long Lyu
- Department of Psychiatry, The First Affiliated Hospital, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Nan Lian
- The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China
| | - Ren-Rong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Wen-Bin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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Abstract
OBJECTIVE To assess the associations between depression and incident cancer risk. STUDY DESIGN Systematic review and meta-analysis. METHODS The Cochrane Library, Web of Science, MEDLINE, and PubMed databases were searched to identify studies. The quality of included studies was assessed using the Newcastle Ottawa Scale. Risk ratios (RRs) were used to measure effect size. A random-effects model was applied to synthesize the associations between depression and cancer risk. A forest plot was produced to visually assess RRs and 95% confidence intervals (CIs). Heterogeneity across studies was assessed using the I-squared statistic. A funnel plot was generated to assess potential publication bias, and Egger's regression was applied to test the symmetry of the funnel plot. RESULTS In total, 1,469,179 participants and 89,716 incident cases of cancer from 25 studies were included. Depression was significantly associated with overall cancer risk (RR = 1.15, 95% CI: 1.09-1.22) and with liver cancer (RR = 1.20, 95% CI: 1.01-1.43) and lung cancer (RR = 1.33, 95% CI: 1.04-1.72). Subgroup analysis of studies in North America resulted in a significant summary relative risk (RR = 1.30, 95% CI: 1.15-1.48). No significant associations were found for breast, prostate, or colorectal/colon cancer. The average Newcastle Ottawa score was 7.56 for all included studies. CONCLUSION Our findings showed a small and positive association between depression and the overall occurrence risk of cancer, as well as liver cancer and lung cancer risks. However, multinational and larger sample studies are required to further research and support these associations. Moreover, confounding factors such as cigarette smoking and alcohol use/abuse should be considered in future studies.
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Affiliation(s)
- Y Jia
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China.
| | - F Li
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China.
| | - Y F Liu
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China.
| | - J P Zhao
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China.
| | - M M Leng
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China.
| | - L Chen
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130020, China; Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.
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Chen C, Shen YD, Xun GL, Cai WX, Shi LJ, Xiao L, Wu RR, Zhao JP, Ou JJ. Aggressive behaviors and treatable risk factors of preschool children with autism spectrum disorder. Autism Res 2017; 10:1155-1162. [PMID: 28266803 DOI: 10.1002/aur.1751] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Revised: 12/27/2016] [Accepted: 12/30/2016] [Indexed: 12/28/2022]
Affiliation(s)
- Chen Chen
- Shanghai Key Laboratory of Forensic Medicine; Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, GuangFu West Road 1347#; Shanghai 200063 People's Republic of China
| | - Yi-Dong Shen
- Mental Health Institute of the Second Xiangya Hospital; Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province; 139 Middle Renmin Road Changsha Hunan 410011 People's Republic of China
| | - Guang-Lei Xun
- Shandong Mental Health Center; 49 East Wenhua Road Jinan, Shandong 250014 People's Republic of China
| | - Wei-Xiong Cai
- Shanghai Key Laboratory of Forensic Medicine; Shanghai Forensic Service Platform, Institute of Forensic Science, Ministry of Justice, P.R.China, GuangFu West Road 1347#; Shanghai 200063 People's Republic of China
| | - Li-Juan Shi
- Neuropsychology and Applied Cognitive Neuroscience Laboratory; CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, People's Republic of China. School of Education, Hunan University of Science and Technology; Xiangtan Hunan People's Republic of China
| | - Lu Xiao
- Mental Health Institute of the Second Xiangya Hospital; Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province; 139 Middle Renmin Road Changsha Hunan 410011 People's Republic of China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital; Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province; 139 Middle Renmin Road Changsha Hunan 410011 People's Republic of China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital; Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province; 139 Middle Renmin Road Changsha Hunan 410011 People's Republic of China
| | - Jian-Jun Ou
- Mental Health Institute of the Second Xiangya Hospital; Central South University, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province; 139 Middle Renmin Road Changsha Hunan 410011 People's Republic of China
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Chen DC, Du XD, Yin GZ, Yang KB, Nie Y, Wang N, Li YL, Xiu MH, He SC, Yang FD, Cho RY, Kosten TR, Soares JC, Zhao JP, Zhang XY. Impaired glucose tolerance in first-episode drug-naïve patients with schizophrenia: relationships with clinical phenotypes and cognitive deficits. Psychol Med 2016; 46:3219-3230. [PMID: 27604840 DOI: 10.1017/s0033291716001902] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Schizophrenia patients have a higher prevalence of type 2 diabetes mellitus with impaired glucose tolerance (IGT) than normals. We examined the relationship between IGT and clinical phenotypes or cognitive deficits in first-episode, drug-naïve (FEDN) Han Chinese patients with schizophrenia. METHOD A total of 175 in-patients were compared with 31 healthy controls on anthropometric measures and fasting plasma levels of glucose, insulin and lipids. They were also compared using a 75 g oral glucose tolerance test and the homeostasis model assessment of insulin resistance (HOMA-IR). Neurocognitive functioning was assessed using the MATRICS Consensus Cognitive Battery (MCCB). Patient psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS). RESULTS Of the patients, 24.5% had IGT compared with none of the controls, and they also had significantly higher levels of fasting blood glucose and 2-h glucose after an oral glucose load, and were more insulin resistant. Compared with those patients with normal glucose tolerance, the IGT patients were older, had a later age of onset, higher waist or hip circumference and body mass index, higher levels of low-density lipoprotein and triglycerides and higher insulin resistance. Furthermore, IGT patients had higher PANSS total and negative symptom subscale scores, but no greater cognitive impairment except on the emotional intelligence index of the MCCB. CONCLUSIONS IGT occurs with greater frequency in FEDN schizophrenia, and shows association with demographic and anthropometric parameters, as well as with clinical symptoms but minimally with cognitive impairment during the early course of the disorder.
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Affiliation(s)
- D C Chen
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - X D Du
- Suzhou Psychiatric Hospital,Suzhou,Jiangsu Province,People's Republic of China
| | - G Z Yin
- Suzhou Psychiatric Hospital,Suzhou,Jiangsu Province,People's Republic of China
| | - K B Yang
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - Y Nie
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - N Wang
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - Y L Li
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - M H Xiu
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - S C He
- Department of Psychology,Peking University,Beijing,People's Republic of China
| | - F D Yang
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
| | - R Y Cho
- Department of Psychiatry and Behavioral Sciences,The University of Texas Health Science Center at Houston,Houston, TX,USA
| | - T R Kosten
- Department of Psychiatry and Behavioral Sciences,Baylor College of Medicine,Houston, TX,USA
| | - J C Soares
- Department of Psychiatry and Behavioral Sciences,The University of Texas Health Science Center at Houston,Houston, TX,USA
| | - J P Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University,Changsha,People's Republic of China
| | - X Y Zhang
- Beijing HuiLongGuan Hospital,Peking University,Beijing,People's Republic of China
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29
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Li YM, Ou JJ, Liu L, Zhang D, Zhao JP, Tang SY. Association Between Maternal Obesity and Autism Spectrum Disorder in Offspring: A Meta-analysis. J Autism Dev Disord 2016; 46:95-102. [PMID: 26254893 DOI: 10.1007/s10803-015-2549-8] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [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: 12/14/2022]
Abstract
As the link between maternal obesity and risk of autism among offspring is unclear, the present study assessed this association. A systematic search of an electronic database was performed to identify observational studies that examined the association between maternal obesity and autism. The outcome measures were odds ratios comparing offspring autism risk between obese and normal-weight mothers. Five observational studies were included in the meta-analysis. A fixed-effects model was used since low heterogeneity was observed between studies. The pooled adjusted odds ratio was 1.47 (95 % CI 1.24-1.74). The meta-analysis results support an increased risk of autism spectrum disorder in children of women who were obese during pregnancy. However, further study is warranted to confirm these results.
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Affiliation(s)
- Ya-Min Li
- The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China.,Xiangya Nursing School, Central South University, Changsha, Hunan Province, China
| | - Jian-Jun Ou
- The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Li Liu
- Xiangya Nursing School, Central South University, Changsha, Hunan Province, China
| | - Dan Zhang
- Xiangya Nursing School, Central South University, Changsha, Hunan Province, China
| | - Jing-Ping Zhao
- The Second Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Si-Yuan Tang
- Xiangya Nursing School, Central South University, Changsha, Hunan Province, China.
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30
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Zhao JP, Levy E, Shatenstein B, Fraser WD, Julien P, Montoudis A, Spahis S, Xiao L, Nuyt AM, Luo ZC. Longitudinal circulating concentrations of long-chain polyunsaturated fatty acids in the third trimester of pregnancy in gestational diabetes. Diabet Med 2016; 33:939-46. [PMID: 26433139 DOI: 10.1111/dme.12978] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2015] [Indexed: 11/28/2022]
Abstract
AIM Gestational diabetes mellitus is a common complication of pregnancy. Long-chain polyunsaturated fatty acids (LCPUFA) are essential for fetal neurodevelopment. Docosahexaenoic acid (DHA) is the predominant n-3 LCPUFA in the brain and retina. Circulating absolute concentrations of total n-3 and n-6 LCPUFAs rise during normal pregnancy. It remains unclear whether gestational diabetes may affect the normal rise in circulating concentrations of LCPUFAs in the third trimester of pregnancy - a period of rapid fetal neurodevelopment. This study aimed to address this question. METHODS In a prospective singleton pregnancy cohort, fatty acids in fasting plasma total lipids were measured at 24-28 and 32-35 weeks of gestation in women with (n = 24) and without gestational diabetes mellitus (n = 116). Fatty acid desaturase activity indices were estimated by relevant product-to-precursor fatty acid ratios. Dietary nutrient intakes were estimated by a food frequency questionnaire. RESULTS Plasma absolute concentrations of total n-6 LCPUFAs rose significantly between 24-28 and 32-35 weeks of gestation in women with or without gestational diabetes, whereas total n-3 LCPUFAs and DHA concentrations rose significantly only in women without gestational diabetes (all P < 0.01). Delta-5 desaturase indices (20:4n-6/20:3n-6) were similar, but delta-6 desaturase indices (18:3n-6/18:2n-6) were significantly lower in women with gestational diabetes at 32-35 weeks of gestation. Dietary intakes of all fatty acids were comparable. CONCLUSION The normal rise in circulating absolute concentrations of DHA and total n-3 LCPUFAs in the third trimester of pregnancy may be compromised in gestational diabetes, probably due to impaired synthesis or mobilization rather than dietary intake difference.
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Affiliation(s)
- J P Zhao
- Department of Obstetrics and Gynecology, Sainte Justine Hospital Research Centre, University of Montreal, Canada
| | - E Levy
- Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
| | - B Shatenstein
- Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
| | - W D Fraser
- Department of Obstetrics and Gynecology, Sainte Justine Hospital Research Centre, University of Montreal, Canada
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - P Julien
- Molecular and Oncologic Endocrinology and Human Genomics Research Center, University Hospital Research Center, Laval University, Quebec City, Canada
| | - A Montoudis
- Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
| | - S Spahis
- Department of Nutrition, University of Montreal, Montreal, Quebec, Canada
| | - L Xiao
- Department of Obstetrics and Gynecology, Sainte Justine Hospital Research Centre, University of Montreal, Canada
| | - A M Nuyt
- Department of Pediatrics, Sainte Justine Hospital Research Centre, University of Montreal, Montreal, Quebec, Canada
| | - Z C Luo
- Department of Obstetrics and Gynecology, Sainte Justine Hospital Research Centre, University of Montreal, Canada
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
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Tian WW, Liu DP, Bian SC, Ma LM, Wang T, Xie YX, Zhao JP, Zhao TZ. [Polycythemia vera with Good's syndrome and agranulocytosis: report of a case and literatures review]. Zhonghua Xue Ye Xue Za Zhi 2016; 37:522-4. [PMID: 27431081 PMCID: PMC7348342 DOI: 10.3760/cma.j.issn.0253-2727.2016.06.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2015] [Indexed: 11/10/2022]
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32
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Zhao JP, Cui DP, Zhang ZY, Jiao HC, Song ZG, Lin H. Live performance, carcass characteristic and blood metabolite responses of broilers to two distinct corn types with different extent of grinding. J Anim Physiol Anim Nutr (Berl) 2016; 101:378-388. [PMID: 27080870 DOI: 10.1111/jpn.12451] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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: 05/31/2015] [Accepted: 11/13/2015] [Indexed: 11/28/2022]
Abstract
The major objective of this research was to establish the main and interactive effects of corn type and extent of grinding on broiler performance including carcass characteristics. A completely randomized experimental design with a 2 (corn type) × 2 (fine and coarse) factorial arrangement, each with six replicates of 45 male Ross chicks, was applied. Experimental diets, containing dent or hard corn, were formulated with two extents of grinding (3.00 or 6.00 mm screens) for three growing phases. In comparison with dent corn, the hard corn increased body weight (BW) gain and thigh muscle yield (p < 0.05), while decreasing feed conversion ratio (p < 0.01) and abdominal fat deposition (p < 0.05), some aspects of which were age-dependent and appeared to vary with extent of grinding. Coarser grinding increased the weight of proventriculus (p < 0.01), gizzard (p < 0.05) and small + large intestine (p < 0.10) relative to BW, particularly towards market size. These results suggest that feeding hard corn or large-particle-size corn have some favourable effects on growth performance or gastrointestinal development for finishing broilers.
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Affiliation(s)
- J P Zhao
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - D P Cui
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China.,New Hope Liuhe Co. Ltd., Qingdao, China
| | - Z Y Zhang
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - H C Jiao
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - Z G Song
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China
| | - H Lin
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Taian, China
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Yuan X, Tao Y, Zhao JP, Liu XS, Xiong WN, Xie JG, Ni W, Xu YJ, Liu HG. Long-term efficacy of a rural community-based integrated intervention for prevention and management of chronic obstructive pulmonary disease: a cluster randomized controlled trial in China's rural areas. ACTA ACUST UNITED AC 2015; 48:1023-31. [PMID: 26352697 PMCID: PMC4671529 DOI: 10.1590/1414-431x20154385] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Accepted: 02/12/2015] [Indexed: 01/04/2023]
Abstract
This study aimed to assess the efficacy of a rural community-based integrated
intervention for early prevention and management of chronic obstructive pulmonary
disease (COPD) in China. This 18-year cluster-randomized controlled trial
encompassing 15 villages included 1008 patients (454 men and 40 women in the
intervention group [mean age, 54 ± 10 years]; 482 men and 32 women in the control
group [mean age, 53 ± 10 years]) with confirmed COPD or at risk for COPD. Villages
were randomly assigned to the intervention or the control group, and study
participants residing within the villages received treatment accordingly.
Intervention group patients took part in a program that included systematic health
education, smoking cessation counseling, and education on management of COPD. Control
group patients received usual care. The groups were compared after 18 years regarding
the incidence of COPD, decline in lung function, and mortality of COPD. COPD
incidence was lower in the intervention group than in the control group (10%
vs 16%, <0.05). A decline in lung function was also
significantly delayed in the intervention group compared to the control group of COPD
and high-risk patients. The intervention group showed significant improvement in
smoking cessation compared with the control group, and smokers in the intervention
group had lower smoking indices than in the control group (350 vs
450, <0.05). The intervention group also had a significantly lower cumulative
COPD-related death rate than the control group (37% vs 47%,
<0.05). A rural community-based integrated intervention is effective in reducing
the incidence of COPD among those at risk, delaying a decline in lung function in
COPD patients and those at risk, and reducing mortality of COPD.
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Affiliation(s)
- X Yuan
- Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Y Tao
- Department of Respiratory and Critical Care Medicine, Xinhua Hospital of Hubei Province, Wuhan, China
| | - J P Zhao
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - X S Liu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - W N Xiong
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - J G Xie
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - W Ni
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Y J Xu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - H G Liu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
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Liu SQ, Zhao JP, Fan XX, Liu GH, Jiao HC, Wang XJ, Sun SH, Lin H. Rapamycin, a specific inhibitor of the target of rapamycin complex 1, disrupts intestinal barrier integrity in broiler chicks. J Anim Physiol Anim Nutr (Berl) 2015; 100:323-30. [PMID: 26249793 DOI: 10.1111/jpn.12375] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 06/10/2015] [Indexed: 12/16/2022]
Abstract
To uncover the molecular mechanisms underlying the intestinal barrier integrity, this study determined whether the rapamycin (RAPA)-sensitive target of rapamycin complex 1 (TORC1) pathway was involved in this process. Three groups of 4-day-old male chicks were randomly subjected to one of the following treatments for 6 days: high-dose RAPA [a specific inhibitor of TORC1; an intraperitoneal injection of 1.0 mg/kg body weight (BW), once daily at 09:00 hours], low-dose RAPA (0.4 mg/kg BW) and RAPA vehicle (control). Results showed that the RAPA treatment increased mortality, while decreasing villus height (p < 0.01), claudin 1 expression, content of immunoglobulin A (IgA), extent of TORC1 phosphorylation (p < 0.05), ratio of villus height to crypt depth (p < 0.01), and population of IgA-positive B cells in intestinal mucosa, particularly for the jejunum. Some aspects of these responses were dose dependent and appeared to result from weight loss. Together, RAPA exerts the expected inhibition of small intestinal development and IgA production in birds, suggesting the important role of TORC1 in gut barrier integrity.
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Affiliation(s)
- S Q Liu
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - J P Zhao
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - X X Fan
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - G H Liu
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - H C Jiao
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - X J Wang
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - S H Sun
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
| | - H Lin
- Shandong Key Lab for Animal Biotechnology and Disease Control, Department of Animal Science, Shandong Agricultural University, Tai'an, China
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Shi LJ, Ou JJ, Gong JB, Wang SH, Zhou YY, Zhu FR, Liu XD, Zhao JP, Luo XR. Broad autism phenotype features of Chinese parents with autistic children and their associations with severity of social impairment in probands. BMC Psychiatry 2015; 15:168. [PMID: 26202327 PMCID: PMC4511534 DOI: 10.1186/s12888-015-0568-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Parents of children with autism have higher rates of broad autism phenotype (BAP) features than parents of typically developing children (TDC) in Western countries. This study was designed to examine the rate of BAP features in parents of children with autism and the relationship between parental BAP and the social impairment of their children in a Chinese sample. METHODS A total of 299 families with autistic children and 274 families with TDC participated in this study. Parents were assessed using the Broad Autism Phenotype Questionnaire (BAPQ), which includes self-report, informant-report, and best-estimate versions. Children were assessed using the Chinese version of the Social Responsiveness Scale (SRS). RESULTS Parents of children with autism were significantly more likely to have BAP features than were parents of TDC; mothers and fathers in families with autistic children had various BAP features. The total scores of the informant and best-estimate BAPQ versions for fathers were significantly associated with their children's SRS total scores in the autism group, whereas the total scores of the three BAPQ versions for mothers were significantly associated with their children's SRS total scores in the TDC group. In the autism group, the total SRS scores of children with "BAP present" parents (informant and best-estimate) were higher than the total SRS scores of children with"BAP absent" parents. In the TDC group, the total SRS scores of children with "BAP present" parents were higher than the total SRS scores of children with"BAP absent" parents (best-estimate). CONCLUSIONS Parents of autistic children were found to have higher rates of BAP than parents of TDC in a sample of Chinese parents. The BAP features of parents are associated with their children's social functioning in both autism families and TDC families, but the patterns of the associations are different.
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Affiliation(s)
- Li-Juan Shi
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China.
| | - Jian-Jun Ou
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China.
| | - Jing-Bo Gong
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China. .,Traditional Chinese Medicine University of Hunan, Changsha, Hunan, PR China.
| | - Su-Hong Wang
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China. .,Department of Neuroscience, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, PR China.
| | - Yuan-Yue Zhou
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China. .,Hangzhou Seventh People's Hospital, Hangzhou, PR China.
| | - Fu-Rong Zhu
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China.
| | - Xu-Dong Liu
- Department of Psychiatry, Queen's University, 191 Portsmouth Ave, Kingston, ON, K7M 8A6, Canada.
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China.
| | - Xue-Rong Luo
- Mental Health Institute of the Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, Hunan, PR China.
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Ou JJ, Shi LJ, Xun GL, Chen C, Wu RR, Luo XR, Zhang FY, Zhao JP. Employment and financial burden of families with preschool children diagnosed with autism spectrum disorders in urban China: results from a descriptive study. BMC Psychiatry 2015; 15:3. [PMID: 25608486 PMCID: PMC4307683 DOI: 10.1186/s12888-015-0382-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Accepted: 01/09/2015] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) affects many aspects of family life, such as social and economic burden. Little investigation of this phenomenon has been carried out in China. We designed this study to evaluate the employment and financial burdens of families with ASD-diagnosed preschoolers. METHODS Four hundred and fifty-nine nuclear families of children with ASD, 418 with some other disability (OD) and 424 with typically developing (TD) children were recruited for this study. Employment and financial burdens of families were evaluated using a structured questionnaire; logistic regression was used to examine differences in job change measures by group, and ordinal logistic regression was used to investigate the association between household income and group. RESULTS Fifty-eight percent of families with ASD children and 19% of families with OD children reported that childcare problems had greatly affected their employment decisions, compared with 9% of families with TD children (p < 0.001). Age of child, parental education and parental age notwithstanding, having a child with ASD and having a child with OD were both associated with increased odds of reporting that childcare greatly interfered with employment (ASD, OR: 15.936; OD, OR: 2.502; all p < 0.001) and decreased the odds of living in a higher-income household (ASD, estimate = -1.271; OD, estimate = -0.569; all p < 0.001). The average loss of annual income associated with having a child with ASD was Chinese RenMinBi (RMB) 44,077 ($7,226), compared with RMB 20,788 ($3,408) for families of OD children. CONCLUSIONS ASD is associated with severe employment and financial burdens, much more than for OD, in families with preschool children.
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Affiliation(s)
- Jian-Jun Ou
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, P.R. China. .,Division of Clinical Sciences, Lieber Institute for Brain Development, John Hopkins University Medical Campus, 855 N. Wolfe Street, Suite 300, Baltimore, MD, 21205, USA.
| | - Li-Juan Shi
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, P.R. China.
| | - Guang-Lei Xun
- Shandong Mental Health Center, 49 East Wenhua Road, Jinan, 250014, Shandong, P.R. China.
| | - Chen Chen
- Shanghai Key Laboratory of Forensic Medicine, Institute of Forensic Science, The Ministry of Justice, 1347 West Guang Fu Road, Shanghai, 200063, P.R. China.
| | - Ren-Rong Wu
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, P.R. China.
| | - Xue-Rong Luo
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, P.R. China.
| | - Feng-Yu Zhang
- Division of Clinical Sciences, Lieber Institute for Brain Development, John Hopkins University Medical Campus, 855 N. Wolfe Street, Suite 300, Baltimore, MD, 21205, USA.
| | - Jing-Ping Zhao
- Mental Health Institute of The Second Xiangya Hospital and Key Laboratory of Psychiatry and Mental Health of Hunan Province, The Central South University, 139 Middle Renmin Road, Changsha, 410011, Hunan, P.R. China.
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Long Z, Duan X, Wang Y, Liu F, Zeng L, Zhao JP, Chen H. Disrupted structural connectivity network in treatment-naive depression. Prog Neuropsychopharmacol Biol Psychiatry 2015; 56:18-26. [PMID: 25092218 DOI: 10.1016/j.pnpbp.2014.07.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2013] [Revised: 07/12/2014] [Accepted: 07/23/2014] [Indexed: 01/15/2023]
Abstract
BACKGROUND Neuroimaging studies suggest that treatment-naive depression (TD) is characterized by abnormal functional connectivity between specific brain regions. However, the question surrounding the structural basis of functional aberrations in TD patients still remains. METHODS In the present study, diffusion tensor imaging tractography was employed to construct structural connectivity networks in 22 early adult-onset, first-episode TD patients and 19 healthy controls (HC). Graph theory and network-based statistic (NBS) were then employed to investigate systematically the alteration of whole brain structural topological organization and structural connectivity in TD patients. RESULTS Graph theoretical analysis revealed that, compared with HC, TD patients exhibited altered structural topological measures, including decreased shortest path length, normalized clustering coefficient, normalized shortest path length, and small-worldness, as well as increased global and local efficiency. NBS results further revealed that TD patients showed two altered structural sub-networks. One sub-network mainly involved connections between the right orbitofrontal cortex (OFC) and the right insula, putamen, caudate, hippocampus, fusiform gyrus, inferior temporal gyrus and lingual gyrus. The other sub-network mainly included connections between the left OFC and the left gyrus rectus, insula, putamen, caudate, thalamus, pallidum and middle occipital gyrus. CONCLUSIONS The findings suggest that TD patients exhibit a disruption in the topological organization of structural brain networks. The altered orbitofrontal connectivity may particularly contribute to the manifestation of symptoms in TD patients. The abnormalities may facilitate understanding of the functional disturbances of mood and cognition in the disease.
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Affiliation(s)
- Zhiliang Long
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Xujun Duan
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yifeng Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Feng Liu
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Ling Zeng
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Jing-Ping Zhao
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China.
| | - Huafu Chen
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China.
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Xie WW, Zhang L, Wu RR, Yu Y, Zhao JP, Li LH. Case-control association study of ABCB1 gene and major depressive disorder in a local Chinese Han population. Neuropsychiatr Dis Treat 2015; 11:1967-71. [PMID: 26347319 PMCID: PMC4531014 DOI: 10.2147/ndt.s87175] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Human P-glycoprotein encoded by the ATP-binding cassette sub-family B member 1 (ABCB1) gene is expressed in the blood-brain barrier. ABCB1 protects the brain from many drugs and toxins such as glucocorticoids through the efflux pump. Recent evidence suggests that a specific allele of the ABCB1 gene confers susceptibility to major depressive disorder (MDD) in the Japanese population. The aim of this study was to explore the association of ABCB1 gene polymorphisms with MDD in a local Chinese Han population. METHODS Two hundred and ninety-two MDD patients and 208 unrelated individuals were matched by age and sex and examined using a case-control design. Six single nucleotide polymorphisms (SNPs) of the ABCB1 gene, including rs1045642, rs2032583, rs2032582, rs2235040, rs1128503, and rs2235015, were genotyped by ligase detection reaction and multiplex polymerase chain reaction. Linkage disequilibrium and haplotype analysis were investigated in the two study groups. RESULTS Significant protection for MDD individuals carrying the TG haplotype of rs1045642-rs2032582 was observed (odds ratio 0.470, 95% confidence interval 0.251-0.897, P=0.01). The rs2032582 (G2677T) and rs1128503 (C1236T) SNPs of ABCB1 showed nominal associations with MDD; the other four SNPs of the ABCB1 gene were not associated with MDD. CONCLUSION Chinese individuals carrying the TG haplotype of rs1045642-rs2032582 had a nearly 53% lower risk of developing MDD. To the best of our knowledge, this is the first report to analyze the effect of ABCB1 polymorphism on the risk of MDD in a Chinese population.
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Affiliation(s)
- Wei-Wei Xie
- Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People's Republic of China ; Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, People's Republic of China
| | - Lin Zhang
- Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People's Republic of China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People's Republic of China
| | - Yan Yu
- People's Hospital of Hunan Province, Changsha, People's Republic of China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People's Republic of China
| | - Le-Hua Li
- Mental Health Institute of the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, People's Republic of China
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Han X, Yuan YB, Yu X, Zhao JP, Wang CY, Lu Z, Yang FD, Dong H, Wu YF, Ungvari GS, Xiang YT, Chiu HFK. The Chinese First-Episode Schizophrenia Trial: background and study design. East Asian Arch Psychiatry 2014; 24:169-173. [PMID: 25482837] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Schizophrenia is a complex illness with unknown aetiology and pathogenesis. Currently, a considerable number of patients with schizophrenia do not receive standardised and systematic treatment in China. In the past years, many controlled trials have been conducted in chronic schizophrenia. In contrast, research on first-episode schizophrenia is lacking. This paper describes the background and design of the Chinese First-Episode Schizophrenia Trial project--a multicentre, randomised, open-label clinical trial. A total of 600 first-episode schizophrenia patients were randomly divided into 3 groups and treated with risperidone, aripiprazole, and olanzapine for 1 year. During the study period, only 1 medication change of the 3 antipsychotic medications was allowed.
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Affiliation(s)
- X Han
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Y B Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - X Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - J P Zhao
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - C Y Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Z Lu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - F D Yang
- Center for Biological Psychiatry, Beijing Hui-Long-Guan Hospital, Beijing, China
| | - H Dong
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan province, China
| | - Y F Wu
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - G S Ungvari
- The University of Notre Dame Australia / Marian Centre, Perth, Australia
| | - Y T Xiang
- Faculty of Health Sciences, University of Macau, Macao, China
| | - H F K Chiu
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
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Xiao L, Zhao JP, Nuyt AM, Fraser WD, Luo ZC. Female fetus is associated with greater maternal insulin resistance in pregnancy. Diabet Med 2014; 31:1696-701. [PMID: 25112731 DOI: 10.1111/dme.12562] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Revised: 05/29/2014] [Accepted: 08/06/2014] [Indexed: 01/24/2023]
Abstract
AIM To explore the hypothesis that female fetus is associated with greater maternal insulin resistance during pregnancy. METHODS In a singleton pregnancy cohort study (n = 299), we compared maternal insulin resistance according to fetal sex, based on plasma biomarkers from a 50-g 1-h oral glucose tolerance test at 24-28 weeks gestation. The primary outcome was plasma glucose-to-insulin ratio. Other outcomes included plasma proinsulin-to-insulin ratio, and insulin, proinsulin, leptin, adiponectin and insulin-like growth factor I and II concentrations. RESULTS After adjusting for maternal race, age, parity, education, pre-pregnancy BMI, smoking and alcohol use, history of gestational diabetes, and gestational age at blood sampling, plasma insulin concentrations were significantly higher (mean ± sd: 66.4 ± 50.5 vs. 51.0 ± 46.1 mU/l; adjusted P = 0.001), and glucose-to-insulin ratios significantly lower (2.60 ± 2.03 vs. 3.77 ± 4.98 mg/dl/mU/l; adjusted P = 0.002) in women bearing a female vs those bearing a male fetus, despite similar glucose levels (116.4 ± 27.2 vs. 117.0 ± 31.9 mg/dl; adjusted P = 0.92).There were no significant differences in proinsulin-to-insulin ratios, or leptin, adiponectin, insulin-like growth factor I and insulin-like growth factor II concentrations by fetal sex. CONCLUSION Female fetus may be associated with greater maternal insulin resistance during pregnancy.
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Affiliation(s)
- L Xiao
- Departments of Obstetrics and Gynecology, Sainte-Justine Hospital Research Center, University of Montreal, Montreal, Canada
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Zhang L, Xie WW, Li LH, Zhang HG, Wang G, Chen DC, Cao Y, Cui LJ, Zhang KR, Shi JG, Tan QR, Zheng HB, Xu XF, Cheng ZH, Zhao JP. Efficacy and Safety of Prolonged-Release Trazodone in Major Depressive Disorder: A Multicenter, Randomized, Double-Blind, Flexible-Dose Trial. Pharmacology 2014; 94:199-206. [DOI: 10.1159/000368559] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 09/18/2014] [Indexed: 11/19/2022]
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Bao K, Xu C, Wang KY, Liu HL, Zhao JB, Zhang TT, Sun WL, Zhong W, Li GY, Zhao JP. Effect of supplementation of organic manganese on reproductive performance of female Ussuri raccoon dogs (Nyctereutes procyonoides) during the breeding season. Anim Reprod Sci 2014; 149:311-5. [PMID: 25082102 DOI: 10.1016/j.anireprosci.2014.07.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Revised: 07/02/2014] [Accepted: 07/08/2014] [Indexed: 01/11/2023]
Abstract
The study was conducted to investigate the effect of dietary manganese (Mn) on reproductive performance of female Ussuri raccoon dogs (Nyctereutes procyonoides) during the breeding season. Healthy female Ussuri raccoon dogs (n=72) were randomly divided into six groups of twelve each. The six experimental diets were formulated to contain graded amounts of Mn (0, 40, 80, 120, 200 and 400mg/kg of diet; Groups A through F, respectively). Litter size of Group D was greater than that of Groups A, B, C and E (P<0.05), with Group E having the smallest litter size. Values of number born alive were affected by different amounts of organic Mn. Number of pups born alive in Group D was greater than that of Groups B, C, E and F (P<0.05). Number of pups weaned alive for Group D was greater than that of Groups A, B, C and E (P<0.05). Mn supplementation of the control diet (containing 24.32 mg/kg from raw materials) with 120 mg/kg of Mn was adequate for female Ussuri raccoon dogs during the breeding season, based on positive effects of reproduction performance.
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Affiliation(s)
- K Bao
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - C Xu
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - K Y Wang
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - H L Liu
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - J B Zhao
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - T T Zhang
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - W L Sun
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - W Zhong
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
| | - G Y Li
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China.
| | - J P Zhao
- Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China.
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Sun ZW, Yan L, G YY, Zhao JP, Lin H, Guo YM. Increasing dietary vitamin D3 improves the walking ability and welfare status of broiler chickens reared at high stocking densities. Poult Sci 2014; 92:3071-9. [PMID: 24235214 DOI: 10.3382/ps.2013-03278] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A study was conducted to evaluate the effects of varying dietary vitamin D3 and stocking density on growing performance, carcass characteristics, bone biomechanical properties, and welfare responses in Ross (308) broilers. Experimental diets, containing 1, 10, or 20 times the NRC recommended level of vitamin D3 (200 IU/kg), were formulated with low, medium, or high vitamin D3 levels for 3 growing phases. Two stocking densities were 10 and 16 birds/m(2). One-day-old hatchlings (1,872 males) were randomly assigned to 6 pens in each treatment. Results showed that high stocking density decreased the feed intake, BW gain (P < 0.01), breast muscle yield (P = 0.010), and tibial development (P < 0.01), whereas increasing feed conversion ratio (P < 0.001), and the scores of gait, footpad and hock burn, and abdominal plumage damage (P < 0.01), particularly toward the age when birds attained their market size. Increasing dietary vitamin D3 improved the birds' walking ability and tibial quality (P < 0.05), and reduced the development of footpad or hock dermatitis and abdominal plumage damage (P < 0.01), some aspects of which were age-dependent and appeared to vary with stocking density. These data indicate that increasing supplemental vitamin D3 has a favorable effect on walking ability and welfare status of high stocking density birds, but not on performance.
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Affiliation(s)
- Z W Sun
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100094 P. R. China
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Meng XT, Hou NN, Wang XJ, Jiao HC, Zhao JP, Song ZG, Lin H. Increased hepatic yolk precursor synthesis, secretion and facilitated uptake by follicles are involved in the rejuvenation of reproductive performance of molted hens (Gallus gallus domesticus). Gen Comp Endocrinol 2013; 194:198-207. [PMID: 24076539 DOI: 10.1016/j.ygcen.2013.09.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2013] [Accepted: 09/16/2013] [Indexed: 11/21/2022]
Abstract
Molt, a natural behavior that is initiated at the end of a lay cycle in birds, is implicated in the regression of the reproductive system in birds followed by a rejuvenation of egg-laying potential. The aim of the present study was to evaluate the physiological basis for the apparent rejuvenation of egg production that occurs following molting. Eighty-three-week-old Hy-line hens, were obtained and subjected to forced molting. Blood and tissue samples were obtained at the beginning of molt (at 83 weeks of age), during molt (at 85 weeks of age) and postmolt (at 89 weeks of age). The laying performance, egg quality, blood parameters and gene expression in the liver and the ovary were investigated before, during and after molt. There was an obvious increase in the postmolt laying rate from 70% premolt to 93% postmolt. Eggshell thickness, albumin height, Haugh unit and egg shape index were all significantly improved after molt. The circulating levels of estrogen and progesterone were lower in the postmolt hens, whereas the concentrations of luteinizing hormone and follicle stimulating hormone were not significantly affected by molt. These results indicate that enhanced hepatic yolk precursor synthesis and secretion contribute to increased postmolt laying performance. Molt enhanced the sensitivity of sex hormones in F1 follicles. Augmented gene expression in the ovary was involved in the rejuvenation of the reproductive performance of molted hens. These results suggest that facilitated yolk-precursor uptake by follicles is involved in the rejuvenation of the reproductive performance of molted hens.
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Affiliation(s)
- X T Meng
- Lab of Econutrition, Department of Animal Science, Shandong Agricultural University, Taian, Shandong 271018, PR China; Shandong Key Lab of Animal Bioengineering and Disease Control and Prevention, Shandong, PR China
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Wang CY, Zhang ZJ, Li WB, Zhai YM, Cai ZJ, Weng YZ, Zhu RH, Zhao JP, Zhou HH. The Differential Effects of Steady-State Fluvoxamine on the Pharmacokinetics of Olanzapine and Clozapine in Healthy Volunteers. J Clin Pharmacol 2013; 44:785-92. [PMID: 15199083 DOI: 10.1177/0091270004266621] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The combination of atypical antipsychotics and selective serotonin reuptake inhibitors is an effective strategy in the treatment of certain psychiatric disorders. However, pharmacokinetic interactions between the two classes of drugs remain to be explored. The present study was designed to determine whether there were different effects of steady-state fluvoxamine on the pharmacokinetics of a single dose of olanzapine and clozapine in healthy male volunteers. One single dose of 10 mg olanzapine (n = 12) or clozapine (n = 9) was administered orally. Following a drug washout of at least 4 weeks, all subjects received fluvoxamine (100 mg/day) for 9 days, and one single dose of 10 mg olanzapine or clozapine was added on day 4. Plasma concentrations of olanzapine, clozapine, and N-desmethylclozapine were assayed at serial time points after the antipsychotics were given alone and when added to fluvoxamine. No bioequivalence was found in olanzapine alone and cotreatment with fluvoxamine for the mean peak plasma concentration (C(max)), the area under the concentration-time curve from time 0 to last sampling time point (AUC(0-t)), and from time 0 to infinity (AUC(0- infinity )). Under the cotreatment, C(max) of olanzapine was significantly elevated by 49%, with a 32% reduced time (t(max)) to C(max), whereas the C(max) and t(max) of clozapine were unaltered. The cotreatment increased the AUC(0-t) and AUC(0- infinity ) of olanzapine by 68% and 76%, respectively, greater than those of clozapine (40% and 41%). The presence of fluvoxamine also prolonged the elimination half-life (t(1/2)) of olanzapine by 40% and, to a much greater extent, clozapine by 370% but reduced the total body clearance (CL/F) of clozapine (78%) more significantly than it did for olanzapine (42%). The apparent volume of distribution (V(d)) was suppressed by 31% in olanzapine combined with fluvoxamine but was unaltered in the clozapine regimen. A significant reduction in the N-desmethylclozapine to clozapine ratio was present in the clozapine with fluvoxamine regimen. The effects of fluvoxamine on different aspects of pharmacokinetics of the two antipsychotics may have implications for clinical therapeutics.
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Affiliation(s)
- Chuan-Yue Wang
- Laboratory of Clinical Psychopharmacology, Beijing An Ding Hospital, Capital University of Medical Sciences, 5 Ankang Hutong Road, Xicheng District, Beijing 100088, China
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Ma YN, Luo B, Yan LS, Pan W, Zou XH, Zhao JP, Li NQ, Liu XK. Bandwidth improvement for slow light using amplification characteristics of cascaded vertical-cavity surface-emitting lasers. Opt Lett 2013; 38:308-310. [PMID: 23381420 DOI: 10.1364/ol.38.000308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
A scheme to improve the bandwidth of slow light using cascaded vertical-cavity surface-emitting lasers (VCSELs) is proposed and experimentally demonstrated. In the scheme, a proper adjustment on the gain peaks of two cascaded VCSELs enables the generation of the desired composite gain spectrum, which has flat-top gain and delay profiles with enhanced peak values. By employing the improved gain and delay profiles in a slow light system, a large delay can be achieved within a wider bandwidth. In the experiment, by using two cascaded VCSELs, a tunable slow light up to 135 ps for a 5 Gbits/s pseudorandom binary sequence is demonstrated with relatively low signal distortion.
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Affiliation(s)
- Y-N Ma
- Center for Information Photonics & Communications, School of Information Science & Technology, Southwest Jiaotong University, Chengdu, Sichuan, China.
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Liu Y, Tang YM, Zhang XH, Zhao JP. [Changes in expression levels of PV, GAD67 and KCC2 in the brain tissue of rats with schizophrenia induced by MK-801]. Zhongguo Dang Dai Er Ke Za Zhi 2012; 14:869-74. [PMID: 23146738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To study changes in the expression levels of parvalbumin (PV), glutamate decarboxylase 67 (GAD67) and K+-Cl- cotransporter 2 (KCC2) in the brain tissue of rats with schizophrenia (SZ) induced by dizocilpine (MK-801), and to investigate the mechanism involving gamma-aminobutyric acid (GABA) by which NMDA receptor blocker induces SZ in the perinatal period. METHODS Thirty-six neonatal male Sprague-Dawley rats were randomly assigned to two batches on postnatal day 6. Each batch was divided into normal control (treated by 0.9% normal saline), SZ-development model (treated by subcutaneous injection of 0.1 mg/kg MK-801 on postnatal days 7-10; bid), and SZ-chronic medication model groups (treated by intraperitoneal injection of 0.2 mg/kg MK-801 on postnatal days 47-60; qd). On postnatal day 63, the brain tissue of the first batch of rats was obtained and then fixed with paraform for histological sections; expression levels of PV and GAD67 in the medial prefrontal cortex (mPFC) and hippocampus CA1 were measured by immunohistochemistry. Simultaneously, the second batch of rats was sacrificed and the mPFC and hippocampus were obtained and homogenized; expression levels of KCC2 in the mPFC and hippocampus were measured by Western blot. RESULTS Expression levels of PV and GAD67 in the mPFC and hippocampus CA1 were significantly lower in the SZ-development and chronic medication model groups than in the normal control group (P<0.05). Expression levels of KCC2 in the mPFC and hippocampus were significantly lower in the SZ-development model group than in the SZ-chronic medication model and normal control groups (P<0.05). CONCLUSIONS The expression changes of PV and GAD67 in SZ can be simulated using the SZ development model induced by MK-801, which might affect the development of the GABA system in the PFC and hippocampus by downregulating KCC2 expression.
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Affiliation(s)
- Yong Liu
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha 410011, China
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Zhao JP, Jiao HC, Jiang YB, Song ZG, Wang XJ, Lin H. Cool perch availability improves the performance and welfare status of broiler chickens in hot weather. Poult Sci 2012; 91:1775-84. [PMID: 22802167 DOI: 10.3382/ps.2011-02058] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A study was conducted to determine whether water-cooled perches would be preferred by commercial broilers exposed to a hot ambient environment, and subsequently, whether utilization of these perches would improve performance and the well-being of birds, beyond those provided by normal perches. Four hundred and thirty-two 14-d-old male chickens from a commercial fast-growing strain (Arbor Acres) were housed in the following conditions: 1) cool perches, 2) normal perches, and 3) control pens with no perches. The results showed that there was greater use of cool perches than normal perches for broiler chickens during summer (F1, 4=125, P=0.0004). Cool perches increased BW gain (F2, 6=5.44, P=0.0449) and breast (F2, 24=3.31, P=0.0539) and thigh muscle yields (F2, 24=6.29, P=0.0063), while decreasing abdominal fat deposition (F2, 24=7.57, P=0.0028), cooking loss (pectoralis major, F2, 24=3.30, P=0.0542; biceps femoris, F2, 24=3.42, P=0.0493), percentage of panting birds (F2, 6=102, P<0.0001), and scores of footpad (F2, 6=122, P<0.0001) and hock (F2, 6=68.2, P<0.0001) burn, and abdominal plumage condition (F2, 6=52.0, P=0.0002), particularly toward the end of the rearing period. In contrast, normal perches hardly affected growth performance, carcass composition, meat quality and behavioral patterns, and appeared to worsen the welfare status, including footpad and hock burns and abdominal plumage condition, due to a lower occupancy rate. Cool perches offer a thermoregulatory and performance advantage to broilers exposed to a hot environment and appear to be a management strategy for improving the production and well-being of commercial broilers.
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Affiliation(s)
- J P Zhao
- Department of Animal Science, Shandong Agricultural University, Shandong Key Lab for Animal Biotechnology and Disease Control, Taian, Shandong 271018, PR China
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Zhao JP, Bao J, Wang XJ, Jiao HC, Song ZG, Lin H. Altered gene and protein expression of glucose transporter1 underlies dexamethasone inhibition of insulin-stimulated glucose uptake in chicken muscles. J Anim Sci 2012; 90:4337-45. [PMID: 22859751 DOI: 10.2527/jas.2012-5100] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A study was performed to characterize the effects of dexamethasone (DEX) and insulin administration on gene expression of glucose transporters (GLUT) in chicken (Gallus gallus domesticus) skeletal muscles and in cultured embryonic myoblasts. Three groups of 1-wk-old male chickens were randomly subjected to one of the following treatments for 7 d: DEX (a subcutaneous injection of 1 mg/kg BW, twice daily at 0800 h and 2000 h), controls (injected with saline), and pair-fed controls (restricted to the same feed intake as for the DEX treatment). Expressions of GLUT-1, GLUT-3, GLUT-8, and 18S rRNA mRNA were determined by quantitative reverse transcription PCR in the pectoralis major (PM) and biceps femoris (BF) muscles. Using chicken embryonic myoblasts (CEM), the interaction between DEX (200 nM) and insulin (100 nM) administration was evaluated on GLUT gene and GLUT-1 protein expressions and 2-deoxy-D-[1, 2-(3)H]-glucose (2-DG) uptake. Myoblasts were incubated with serum-free medium for 3 h in the presence or absence of insulin (0, 0.02, 0.1, 0.5, and 2.5 μM). Although GLUT-1 is not considered an insulin-responsive GLUT in mammals, this study shows that insulin stimulated 2-DG uptake and GLUT-1 mRNA and protein expression in CEM (P < 0.0001), suggesting that both are regulated in chicken skeletal muscle. Dexamethasone inhibited insulin-stimulated glucose uptake in CEM (P < 0.0001), likely accounting for insulin resistance in skeletal muscles. The results of the present study indicate that the altered GLUT-1 gene and protein expression may contribute to the insulin resistance induced by DEX treatment in chicken muscles.
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Affiliation(s)
- J P Zhao
- Department of Animal Science, Shandong Agricultural University, Tai'an, Shandong 271018, PR China
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Wu RR, Jin H, Gao K, Twamley EW, Ou JJ, Shao P, Wang J, Guo XF, Davis JM, Chan PK, Zhao JP. Metformin for treatment of antipsychotic-induced amenorrhea and weight gain in women with first-episode schizophrenia: a double-blind, randomized, placebo-controlled study. Am J Psychiatry 2012; 169:813-21. [PMID: 22711171 DOI: 10.1176/appi.ajp.2012.11091432] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.8] [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: 11/30/2022]
Abstract
OBJECTIVE Data on the treatment of antipsychotic-induced amenorrhea, particularly when occurring with weight gain, are limited. The authors investigated the efficacy and safety of metformin in the treatment of antipsychotic-induced amenorrhea and weight gain in women with first-episode schizophrenia. METHOD Eighty-four women (ages 18-40 years) with first-episode schizophrenia who suffered from amenorrhea during antipsychotic treatment were randomly assigned, in a double-blind study design, to receive 1000 mg/day of metformin or placebo in addition to their antipsychotic treatment for 6 months. The primary outcome measures were restoration of menstruation and change in body weight and body mass index (BMI). Secondary outcome measures were changes in levels of prolactin, luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol, and testosterone; in fasting levels of insulin and glucose; in LH/FSH ratio; and in insulin resistance index. Repeated mixed models with repeated-measures regression analyses and binary logistic regression were used in the analysis. RESULTS A total of 76 patients completed the 6-month trial. Significantly more patients in the metformin group (N=28, 66.7%) than in placebo group (N=2, 4.8%) resumed their menstruation. Among patients treated with metformin, BMI decreased by a mean of 0.93 and the insulin resistance index by 2.04. In contrast, patients who received placebo had a mean increase in BMI of 0.85. The prolactin, LH, and testosterone levels and LH/FSH ratio decreased significantly in the metformin group at months 2, 4, and 6, but these levels did not change in the placebo group. CONCLUSIONS Metformin was effective in reversing antipsychotic-induced adverse events, including restoration of menstruation, promotion of weight loss, and improvement in insulin resistance in female patients with schizophrenia.
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Affiliation(s)
- Ren-Rong Wu
- Institute of Mental Health of the Second Xiang ya Hospital, Central South University, Changsha, China.
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