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Your search keyword '"Lai, Wen‐tao"' showing total 13 results
Start Over Author "Lai, Wen‐tao"
13 results on '"Lai, Wen‐tao"'

7. Improved Safety of Hybrid Electroconvulsive Therapy Compared With Standard Electroconvulsive Therapy in Patients With Major Depressive Disorder: A Randomized, Double-Blind, Parallel-Group Pilot Trial

Author

Zhang, Jing-ya, primary, Xu, Shu-xian, additional, Zeng, Lun, additional, Chen, Li-chang, additional, Li, Jia, additional, Jiang, Zhao-yun, additional, Tan, Bai-jian, additional, Gu, Chen-long, additional, Lai, Wen-tao, additional, Kong, Xiao-ming, additional, Wang, Jian, additional, Rong, Han, additional, and Xie, Xin-hui, additional

Published
2022
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9. Shotgun metagenomics reveals both taxonomic and tryptophan pathway differences of gut microbiota in major depressive disorder patients

Author

Lai, Wen-tao, primary, Deng, Wen-feng, additional, Xu, Shu-xian, additional, Zhao, Jie, additional, Xu, Dan, additional, Liu, Yang-hui, additional, Guo, Yuan-yuan, additional, Wang, Ming-bang, additional, He, Fu-sheng, additional, Ye, Shu-wei, additional, Yang, Qi-fan, additional, Liu, Tie-bang, additional, Zhang, Ying-li, additional, Wang, Sheng, additional, Li, Min-zhi, additional, Yang, Ying-jia, additional, Xie, Xin-hui, additional, and Rong, Han, additional

Published
2019
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10. MOESM1 of Study protocol for a parallel-group, double-blinded, randomized, controlled, noninferiority trial: the effect and safety of hybrid electroconvulsive therapy (Hybrid-ECT) compared with routine electroconvulsive therapy in patients with depression

Author

Rong, Han, Xu, Shu-Xian, Zeng, Jing, Yang, Ying-Jia, Zhao, Jie, Lai, Wen-Tao, Chen, Li-Chang, Deng, Wen-Feng, Xiangyang Zhang, Zhang, Ying-Li, Li, Min-Zhi, Xiao, Li, and Xie, Xin-Hui

Abstract

Additional file 1: Table S1. Charge titration procedure.

Published
2019
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12. Shotgun metagenomics reveals both taxonomic and tryptophan pathway differences of gut microbiota in major depressive disorder patients.

Author

Lai, Wen-tao, Deng, Wen-feng, Xu, Shu-xian, Zhao, Jie, Xu, Dan, Liu, Yang-hui, Guo, Yuan-yuan, Wang, Ming-bang, He, Fu-sheng, Ye, Shu-wei, Yang, Qi-fan, Liu, Tie-bang, Zhang, Ying-li, Wang, Sheng, Li, Min-zhi, Yang, Ying-jia, Xie, Xin-hui, and Rong, Han

Subjects
*FECAL analysis, *TRYPTOPHAN metabolism, *BACTEROIDES, *BIFIDOBACTERIUM, *BIOMARKERS, *COMPARATIVE studies, *MENTAL depression, *SEROTONIN, *GENOMICS, *GUT microbiome, *ACTINOBACTERIA, *RECEIVER operating characteristic curves, *SEQUENCE analysis, *RANDOM forest algorithms
Abstract

Background: The microbiota–gut–brain axis, especially the microbial tryptophan (Trp) biosynthesis and metabolism pathway (MiTBamp), may play a critical role in the pathogenesis of major depressive disorder (MDD). However, studies on the MiTBamp in MDD are lacking. The aim of the present study was to analyze the gut microbiota composition and the MiTBamp in MDD patients. Methods: We performed shotgun metagenomic sequencing of stool samples from 26 MDD patients and 29 healthy controls (HCs). In addition to the microbiota community and the MiTBamp analyses, we also built a classification based on the Random Forests (RF) and Boruta algorithm to identify the gut microbiota as biomarkers for MDD. Results: The Bacteroidetes abundance was strongly reduced whereas that of Actinobacteria was significantly increased in the MDD patients compared with the abundance in the HCs. Most noteworthy, the MDD patients had increased levels of Bifidobacterium, which is commonly used as a probiotic. Four Kyoto Encyclopedia of Genes and Genomes (KEGG) orthologies (KOs) (K01817, K11358, K01626, K01667) abundances in the MiTBamp were significantly lower in the MDD group. Furthermore, we found a negative correlation between the K01626 abundance and the HAMD scores in the MDD group. Finally, RF classification at the genus level can achieve an area under the receiver operating characteristic curve of 0.890. Conclusions: The present findings enabled a better understanding of the changes in gut microbiota and the related Trp pathway in MDD. Alterations of the gut microbiota may have the potential as biomarkers for distinguishing MDD patients form HCs. [ABSTRACT FROM AUTHOR]

Published
2021
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