Jun Chen
6 Papers
Jun Chen is an academic researcher. The author has contributed to research in topics: Microbiome & Metagenomics. The author has an hindex of 2, co-authored 2 publications.
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Papers
Deep insights into the gut microbial community of extreme longevity in south Chinese centenarians by ultra-deep metagenomics and large-scale culturomics
Congyong Li,Zhe Luan,Yiming Zhao,Jun Chen,Ya-Nan Yang,Cong Wang,Yu Xiang Jing,Shirui Qi,Zhuanyu Li,Hao Guo,Wenyi Xu,Bowen Zhao,Chongming Wu,Shufang Wang,Yunsheng Yang,Gang Sun +15 more
TL;DR: Wang et al. as mentioned in this paper combined in-depth metagenomic sequencing and large-scale culturomics to reveal the unique gut microbial structure of a Chinese longevity population, and to explore the possible relationship between intestinal microbes and longevity.
A metagenomics study reveals the gut microbiome as a sex-specific modulator of healthy aging in Hainan centenarians
Zhe Luan,Shihui Fu,Shirui Qi,Congyong Li,Jun Chen,Yiming Zhao,Hanwen Zhang,Junling Wu,Zhizhuang Zhao,Jiaqi Zhang,Yi Chen,Wei Zhang,Yujia Jing,Shufang Wang,Gang Sun +14 more
TL;DR: The present study reveals that the gut microbiome structure and resistance to oxidative stress in healthy centenarians differ between the sexes and provides new insights into the possible sex-specific role of the gut microbiome in healthy aging.
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Lactobacillus oris improves non-alcoholic fatty liver in mice and inhibits endogenous cholesterol biosynthesis
Yiming Zhao,Congyong Li,Zhe Luan,Jun Chen,Cong Wang,Yu Xiang Jing,Shirui Qi,Zhizhuang Zhao,Hanwen Zhang,Junling Wu,Yi Chen,Zhuanyu Li,Bowen Zhao,Shufang Wang,Yunsheng Yang,Gang Sun +15 more
TL;DR: Lactobacillus oris isolated from fecal samples of Hainan centenarians showed significantly in vivo lipid lowering ability compared with the controls, and the ability was comparable with mixed probiotics strains in mice.
5
Author Correction: Deep insights into the gut microbial community of extreme longevity in south Chinese centenarians by ultra-deep metagenomics and large-scale culturomics
Congyong Li,Zhe Luan,Yiming Zhao,Jun Chen,Ya'nan Yang,Cong Wang,Yu Xiang Jing,Shirui Qi,Zhuanyu Li,Hao Guo,Wenyi Xu,Bowen Zhao,Chongming Wu,Shufang Wang,Yunsheng Yang,Gang Sun +15 more
Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.
Junling Wu,Jun Chen,Hanwen Zhang,Zhe Luan,Yiming Zhao,Mengxuan Sun,Shufang Wang,Congyong Li,Zhizhuang Zhao,Wei Zhang,Yi Chen,Jiaqi Zhang,Yansheng Li,Kejia Liu +13 more
TL;DR: A hierarchical multi-label deep learning method is developed for a clinical decision support system (CDSS) to analyze colonoscopy reports, achieving 90.18% accuracy and 69.14% Macro-F1 score, with potential to standardize healthcare and relieve medical burden in China.