Integrated multi-omics analysis unveils microbiota-metabolite-host interactions and novel biomarkers for early diabetic kidney disease diagnosis
Multi-omics integration combined with ML may provide candidate biomarkers for the early detection of DKD in the East Asian population. These approaches could improve the accuracy of non-invasive diagnosis and support the development of personalized management strategies. Nevertheless, further studies are required to validate the identified associations and confirm their clinical applicability in real-world East Asian settings.
Authors
- Dongsheng Yao
- Hua Lü (ORCID: https://orcid.org/0009-0003-0882-7344)
- XuXiang Ma
- Ruomeng Hu (ORCID: https://orcid.org/0009-0000-6714-2626)
- Jialin Deng (ORCID: https://orcid.org/0000-0002-5583-2029)
- Lizhuang MA
- Xiaojuan Hu (ORCID: https://orcid.org/0000-0003-0078-6712)
- Wang Yuan
- qingguang chen
- Jiatuo Xu
- Liping Tu
- Xin Tan
- Tao Jiang
- Ji Cui
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Shuguang Hospital (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-03-09
- DOI
- https://doi.org/10.3389/fimmu.2026.1781013
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00