Integrated multi-omics profiling reveals immune-related biomarkers and regulatory networks for early prediction of tuberculosis in type 2 diabetes mellitus
This study establishes a validated multi-omics framework for the early detection of T2DM-TB, elucidates key regulatory axes (IRF1/IFN-γ, ceRNA circuitry, CXCL10/CXCL6), and provides actionable biomarkers and high-performance models for precision intervention in T2DM-TB management.
Authors
- Zhaoyang Ye
- Guangliang Bai
- Wenping Gong (ORCID: https://orcid.org/0000-0002-9334-0359)
- Mingming Zhang (ORCID: https://orcid.org/0000-0001-6907-4049)
- Shuang Zhou (ORCID: https://orcid.org/0000-0002-2403-7161)
- Linsheng Li
- Liang Wang
- Ruizi Ni
- Yajing An
- Peng Cheng
- Li Zhuang
- L Yang
- Cong Peng
- Yufeng Li
- Yuan Tian
Institutions
- Hebei North University (CN)
- Chinese PLA General Hospital (CN)
- Chinese General Hospital College of Nursing and Liberal Arts (PH)
- Nanjing Municipal Center for Disease Control And Prevention (CN)
- Taiwan Centers for Disease Control (TW)
- The 309th Hospital of Chinese People's Liberation Army (CN)
- The Eighth Hospital of Xi'an (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-02-26
- DOI
- https://doi.org/10.3389/fimmu.2026.1755184
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00