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Your search keyword '"Zhang, Kerang"' showing total 304 results
Start Over Author "Zhang, Kerang" Publication Type Academic Journals
304 results on '"Zhang, Kerang"'

4. A phase 3, multicenter, double-blind, randomized, placebo-controlled clinical trial to verify the efficacy and safety of ansofaxine (LY03005) for major depressive disorder

Author

Mi, Weifeng, Di, Xiaolan, Wang, Yiming, Li, Huafang, Xu, Xiufeng, Li, Lehua, Wang, Huaning, Wang, Guoqiang, Zhang, Kerang, Tian, Feng, Luo, Jiong, Yang, Chanjuan, Zhou, Yunfei, Xie, Shiping, Zhong, Hua, Wu, Bin, Yang, Dong, Chen, Zhenhua, Li, Yi, Chen, Jindong, Lv, Shuyun, Yi, Qizhong, Jiang, Zhiwei, Tian, Jingwei, and Zhang, Hongyan

Published
2023
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12. Efficacy and safety of aripiprazole once-monthly versus oral aripiprazole in Chinese patients with acute schizophrenia: a multicenter, randomized, double-blind, non-inferiority study

Author

Xiao, Le, Zhao, Qian, Li, An-ning, Sun, Jushui, Wu, Bin, Wang, Lina, Zhang, Honggeng, Zhang, Ruiling, Li, Keqing, Xu, Xiaojin, Liu, Tiebang, Zhang, Wenshun, Xie, Shiping, Xu, Xiufeng, Tan, Yunlong, Zhang, Kerang, Zhang, Hongyan, Guan, Nianhong, Xian, Mingji, Uki, Motomichi, and Wang, Gang

Published
2022
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18. Cortical activation for adolescent-onset minor depression and major depressive disorder: an fNIRS study.

Author

Li, Gaizhi, Ma, Ke, Rossbach, Kathryn, Niu, Ying, Li, Qiqi, Liu, Zhifen, and Zhang, Kerang

Subjects
DIAGNOSIS of mental depression, NEUROLOGIC examination, RESEARCH funding, PREFRONTAL cortex, NEAR infrared spectroscopy, ANXIETY, TEMPORAL lobe, HAMILTON Depression Inventory, PSYCHOLOGICAL tests, COMPARATIVE studies, MENTAL depression, ADOLESCENCE
Abstract

Background: While depression is increasing worldwide, some patients are diagnosed as having Major Depressive Disorder (MDD), but others are diagnosed with minor depression, however, the potential neuro mechanism is unknown. Methods: Sixty-two patients with minor depression, 44 adolescents with MDD and 54 healthy adolescents participated in this study. Functional near-infrared spectroscopy (fNIRS), both HAMD and HAMA data were collected from all of the participants. Results: The result indicates the pervasively decreased activation of BA, 11, 21, 45 and 46 were observed in the MDD group and reduced activation of BA 45 was observed in the minor depression group. However, cortical activation was not observed between the minor depression or MDD groups. Cortical activation was also not correlated with the depressive/anxious score in the minor and MDD groups separately. Conclusions: Cortical activation was pervasively decreased in the MDD group and slightly reduced in the minor depression group, which may be a potential neural mechanism. As reduced cortical activation in minor depression, interventions in the early stages of minor depression may help slow or even modify the development of the illness. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Molecular Signatures of Major Depression

Author

Cai, Na, Chang, Simon, Li, Yihan, Li, Qibin, Hu, Jingchu, Liang, Jieqin, Song, Li, Kretzschmar, Warren, Gan, Xiangchao, Nicod, Jerome, Rivera, Margarita, Deng, Hong, Du, Bo, Li, Keqing, Sang, Wenhu, Gao, Jingfang, Gao, Shugui, Ha, Baowei, Ho, Hung-Yao, Hu, Chunmei, Hu, Jian, Hu, Zhenfei, Huang, Guoping, Jiang, Guoqing, Jiang, Tao, Jin, Wei, Li, Gongying, Li, Kan, Li, Yi, Li, Yingrui, Li, Youhui, Lin, Yu-Ting, Liu, Lanfen, Liu, Tiebang, Liu, Ying, Liu, Yuan, Lu, Yao, Lv, Luxian, Meng, Huaqing, Qian, Puyi, Sang, Hong, Shen, Jianhua, Shi, Jianguo, Sun, Jing, Tao, Ming, Wang, Gang, Wang, Guangbiao, Wang, Jian, Wang, Linmao, Wang, Xueyi, Wang, Xumei, Yang, Huanming, Yang, Lijun, Yin, Ye, Zhang, Jinbei, Zhang, Kerang, Sun, Ning, Zhang, Wei, Zhang, Xiuqing, Zhang, Zhen, Zhong, Hui, Breen, Gerome, Wang, Jun, Marchini, Jonathan, Chen, Yiping, Xu, Qi, Xu, Xun, Mott, Richard, Huang, Guo-Jen, Kendler, Kenneth, and Flint, Jonathan

Subjects
Mental Health, Depression, Neurosciences, Genetics, Human Genome, Behavioral and Social Science, Brain Disorders, Aging, Animals, Biomarkers, Case-Control Studies, Child, Child Abuse, Sexual, DNA, Mitochondrial, Depressive Disorder, Major, Female, Glucocorticoids, Humans, Life Change Events, Male, Mice, Inbred C57BL, Stress, Psychological, Telomere Shortening, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental Biology
Abstract

Adversity, particularly in early life, can cause illness. Clues to the responsible mechanisms may lie with the discovery of molecular signatures of stress, some of which include alterations to an individual's somatic genome. Here, using genome sequences from 11,670 women, we observed a highly significant association between a stress-related disease, major depression, and the amount of mtDNA (p = 9.00 × 10(-42), odds ratio 1.33 [95% confidence interval [CI] = 1.29-1.37]) and telomere length (p = 2.84 × 10(-14), odds ratio 0.85 [95% CI = 0.81-0.89]). While both telomere length and mtDNA amount were associated with adverse life events, conditional regression analyses showed the molecular changes were contingent on the depressed state. We tested this hypothesis with experiments in mice, demonstrating that stress causes both molecular changes, which are partly reversible and can be elicited by the administration of corticosterone. Together, these results demonstrate that changes in the amount of mtDNA and telomere length are consequences of stress and entering a depressed state. These findings identify increased amounts of mtDNA as a molecular marker of MD and have important implications for understanding how stress causes the disease.

Published
2015

30. Clinical features of and risk factors for major depression with history of postpartum episodes in Han Chinese women: A retrospective study

Author

Yang, Fuzhong, Gardner, Charles O., Jr, Bigdeli, Tim, Gao, Jingfang, Zhang, Zhen, Tao, Ming, Liu, Ying, Li, Youhui, Wang, Gang, Shi, Jianguo, Gao, Chengge, Zhang, Kerang, Li, Kan, Wang, Xumei, Liu, Lanfen, Sun, Jing, Du, Bo, Shi, Shenxun, Zhang, Jingbei, Wu, Wenyuan, Wang, Xueyi, Shen, Jianhua, Liu, Tiebang, Gu, Danhua, Liang, Wei, Deng, Hong, Pan, Jiyang, Yang, Lijun, Jian, Hu, Jiang, Guoqin, Meng, Huaqing, Miao, Guodong, Li, Yi, Hu, Chunmei, Huang, Guoping, Zhang, Yutang, Chen, Yunchun, Ha, Baowei, Gao, Shu, Fang, Xiang, Mei, Qiyi, Hong, Xiaohong, Yang, Donglin, Liu, Tieqiao, Fengyu, Yu, Zhong, Hui, Sang, Hong, Chen, Guibing, Cai, Min, Song, Yan, Dong, Jicheng, Shen, Zhenmin, Zhang, Wei, Wang, Xiaoping, Pan, Runde, Liu, Xiaojuan, Liu, Zhengrong, Zhang, Qiwen, Li, Gongying, Flint, Jonathan, and Kendler, Kenneth S.

Published
2015
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40. Sparse whole-genome sequencing identifies two loci for major depressive disorder

Author

Cai, Na, Bigdeli, Tim B., Kretzschmar, Warren, Li, Yihan, Liang, Jieqin, Song, Li, Hu, Jingchu, Li, Qibin, Jin, Wei, Hu, Zhenfei, Wang, Guangbiao, Wang, Linmao, Qian, Puyi, Liu, Yuan, Jiang, Tao, Lu, Yao, Zhang, Xiuqing, Yin, Ye, Li, Yingrui, Xu, Xun, Gao, Jingfang, Reimers, Mark, Webb, Todd, Riley, Brien, Bacanu, Silviu, Peterson, Roseann E., Chen, Yiping, Zhong, Hui, Liu, Zhengrong, Wang, Gang, Sun, Jing, Sang, Hong, Jiang, Guoqing, Zhou, Xiaoyan, Li, Yi, Zhang, Wei, Wang, Xueyi, Fang, Xiang, Pan, Runde, Miao, Guodong, Zhang, Qiwen, Hu, Jian, Yu, Fengyu, Du, Bo, Sang, Wenhua, Li, Keqing, Chen, Guibing, Cai, Min, Yang, Lijun, Yang, Donglin, Ha, Baowei, Hong, Xiaohong, Deng, Hong, Li, Gongying, Li, Kan, Song, Yan, Gao, Shugui, Zhang, Jinbei, Gan, Zhaoyu, Meng, Huaqing, Pan, Jiyang, Gao, Chengge, Zhang, Kerang, Sun, Ning, Li, Youhui, Niu, Qihui, Zhang, Yutang, Liu, Tieqiao, Hu, Chunmei, Zhang, Zhen, Lv, Luxian, Dong, Jicheng, Wang, Xiaoping, Tao, Ming, Wang, Xumei, Xia, Jing, Rong, Han, He, Qiang, Liu, Tiebang, Huang, Guoping, Mei, Qiyi, Shen, Zhenming, Liu, Ying, Shen, Jianhua, Tian, Tian, Liu, Xiaojuan, Wu, Wenyuan, Gu, Danhua, Fu, Guangyi, Shi, Jianguo, Chen, Yunchun, Gan, Xiangchao, Liu, Lanfen, Wang, Lina, Yang, Fuzhong, Cong, Enzhao, Marchini, Jonathan, Yang, Huanming, Wang, Jian, Shi, Shenxun, Mott, Richard, Xu, Qi, Wang, Jun, Kendler, Kenneth S., and Flint, Jonathan

Published
2015
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47. Abnormal gut microbiota and bile acids in patients with first‐episode major depressive disorder and correlation analysis.

Author

Sun, Ning, Zhang, Jie, Wang, Jizhi, Liu, Zhifen, Wang, Xin, Kang, Pengli, Yang, Chunxia, Liu, Penghong, and Zhang, Kerang

Subjects
BILE acids, GUT microbiome, MENTAL depression, LIQUID chromatography-mass spectrometry, FISHER discriminant analysis
Abstract

Aim: Gut microbiota and its metabolite bile acids may play a significant role in the occurrence and development of major depressive disorder (MDD). Therefore, this study analyzes gut microbiota and bile acids, as well as their correlation in patients. Methods: Thirty‐one patients with MDD and 29 healthy controls (HCs) were enrolled in this study. We collected their both blood and feces. Plasma bile acid content was determined by liquid chromatography‐mass spectrometry and gut microbiota was detected by 16SrRNA gene sequencing and subsequently analyzed. We also analyzed the correlation between different gut microbiota, bile acids, and Hamilton Depression (HAMD) score. Results: The α‐diversity analysis found that Simpson and Pielou evenness index was much higher in HCs than in the patients with MDD. The β‐diversity of the two groups were differences by nonmetric multidimensional scaling analysis. Linear discriminant analysis effect size analysis identified 16 different strains. Bile acids detection showed that 23‐nordeoxycholic acid in patients with MDD was significantly higher than in HCs, whereas taurolithocholic acid (TLCA), glycolithocholic acid (GLCA), and lithocholic acid 3‐sulfate were significantly lower. Spearman correlation analysis showed that Turicibacteraceae, Turicibacterales, and Turicibacter were positively related with TLCA, GLCA, glycodeoxycholic acid (GDCA), and taurodeoxycholic acid, and were negatively correlated with HAMD score. At the same time, TLCA, GLCA, and GDCA were negatively correlated with HAMD score. Conclusions: Gut microbiota and bile acids metabolism are disturbances in MDD, and there exists a correlation between gut microbiota and bile acids metabolism. Moreover, their interaction may be related to the pathophysiological mechanism of MDD. [ABSTRACT FROM AUTHOR]

Published
2022
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50. Altered Cingulum Functioning in Major Depressive Disorder Patient With Suicide Attempts: A Resting-State Functional Magnetic Resonance Imaging Study.

Author

Yang, Chunxia, Duan, Yajuan, Lei, Lei, Liu, Penghong, Zhang, Aixia, Li, Gaizhi, Sun, Ning, Wang, Yikun, Liu, Zhifen, and Zhang, Kerang

Subjects
FUNCTIONAL magnetic resonance imaging, MENTAL depression, ATTEMPTED suicide, PEARSON correlation (Statistics), DIAGNOSTIC imaging
Abstract

Background: Major depressive disorder (MDD) with suicide attempts (SA) poses a significant public health issue. This study aims to identify neurobiological markers for MDD with SA on resting-state brain functional magnetic resonance imaging (rs-fMRI). Methods: Fifty-one unmedicated adult MDD participants, 27 with SA on the Beck Scale for Suicidal Ideation and 24 without SA, underwent rs-fMRI scanning. A group of 30 healthy controls (HC) matched for age, gender, and education-level with MDD were chosen. A whole brain analysis of regional homogeneity (ReHo) was performed on subjects to identify regions where brain activity was associated with SA. Multiple comparison analysis was performed for ReHo. Pearson's correlation analysis was performed between HAMD-SA scores and ReHo. The statistical significance level was set at p < 0.05. Results: We examined whether there were significant differences among the three groups in whole brain ReHo during resting state. Subjects with SA showed significant increase of ReHo in the right Cingulum Post in comparison with those without SA. Subjects with SA showed significant decrease of ReHo in the right Cingulate Gyrus/Precuneus in comparison with HC. The mean ReHo from the significant brain region was associated with HAMD-SA (item 3 of the HAMD) scores (r = 0.349, P = 0.012) but was not associated with HAMD-24 scores. Conclusion: These results indicate that SA is associated with altered resting-state brain activity. The pattern of elevated activity in the cingulum functioning may be related to SA. Identifying cingulum activity associated with SA may help to elucidate its pathogenesis and etiology. [ABSTRACT FROM AUTHOR]

Published
2022
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