gutMDisorder v3.0: an updated database for dysbiosis of the gut and oral microbiota in phenotypes and interventions
4 affiliations
- 1College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081 ,
- 2National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University , Harbin 150028 ,
- 3Department of Child and Adolescent Health, School of Public Health, Harbin Medical University , Harbin 150081 ,
- 4McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College , Beijing 100005 ,
Abstract
Microbiota plays an essential role in host health, and dysbiosis of microbial communities has been widely associated with diverse phenotypes and intervention responses. With the rapid development of microbiome research, microbiome studies are no longer restricted to gut-derived samples, and the oral microbiota has emerged as another important microbial habitat closely connected with both local and systemic conditions. To meet the growing need for integrative resources across body sites, we updated gutMDisorder to version 3.0. In this version, the scope was expanded from gut microbiota to both gut and oral microbiota in humans and mice. We extensively reviewed previous publications and newly published studies, resulting in 13 402 manually curated literature-based associations under diverse comparison conditions. In addition, raw sequencing datasets from gut and oral samples were collected and reprocessed using standardized workflows, yielding 22 241 raw data-based associations, and corresponding host metadata were manually curated. To facilitate data exploration, gutMDisorder v3.0 provides sample-source-aware browsing, improved filtering options, interactive visualizations for raw data-based associations, and downloadable resources. The backend processing and frontend rendering logic were also optimized to improve page responsiveness and user experience. The database is freely available at https://bio-computing.hrbmu.edu.cn/gutMDisorder/.
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BibTeX
@article{guan2026gutmdisorder,
title = {{gutMDisorder v3.0: an updated database for dysbiosis of the gut and oral microbiota in phenotypes and interventions}},
author = {Siyuan Guan and Changlu Qi and Xingwang Liu and Baifeng Li and Yuanming Zhang and Hongwei Gao and Qiuhan Chen and Liang Cheng and Xue Zhang},
journal = {Nucleic Acids Research},
year = {2026},
month = oct,
doi = {10.1093/nar/gkag985},
url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag985/8892720},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - gutMDisorder v3.0: an updated database for dysbiosis of the gut and oral microbiota in phenotypes and interventions
AU - Siyuan Guan
AU - Changlu Qi
AU - Xingwang Liu
AU - Baifeng Li
AU - Yuanming Zhang
AU - Hongwei Gao
AU - Qiuhan Chen
AU - Liang Cheng
AU - Xue Zhang
PY - 2026
DA - 2026/10/09
JO - Nucleic Acids Research
DO - 10.1093/nar/gkag985
UR - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag985/8892720
AB - Microbiota plays an essential role in host health, and dysbiosis of microbial communities has been widely associated with diverse phenotypes and intervention responses. With the rapid development of microbiome research, microbiome studies are no longer restricted to gut-derived samples, and the oral microbiota has emerged as another important microbial habitat closely connected with both local and systemic conditions. To meet the growing need for integrative resources across body sites, we updated gutMDisorder to version 3.0. In this version, the scope was expanded from gut microbiota to both gut and oral microbiota in humans and mice. We extensively reviewed previous publications and newly published studies, resulting in 13 402 manually curated literature-based associations under diverse comparison conditions. In addition, raw sequencing datasets from gut and oral samples were collected and reprocessed using standardized workflows, yielding 22 241 raw data-based associations, and corresponding host metadata were manually curated. To facilitate data exploration, gutMDisorder v3.0 provides sample-source-aware browsing, improved filtering options, interactive visualizations for raw data-based associations, and downloadable resources. The backend processing and frontend rendering logic were also optimized to improve page responsiveness and user experience. The database is freely available at https://bio-computing.hrbmu.edu.cn/gutMDisorder/.
SN - 0305-1048
SN - 1362-4962
ER -