Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms
CD274, IRF1, and HPSE represent promising NETs-derived diagnostic biomarkers for ATB. Their dual roles in neutrophil-mediated immunity highlight therapeutic potential, though drug predictions require preclinical validation. Future studies should leverage spatial omics and CRISPR screening to elucidate mechanistic pathways.
Authors
- Yi Tu (ORCID: https://orcid.org/0000-0002-2051-8806)
- Siyu Xia (ORCID: https://orcid.org/0000-0002-0953-6501)
- Rui Lin (ORCID: https://orcid.org/0000-0003-0744-0263)
- Chen Zhu (ORCID: https://orcid.org/0000-0003-4589-0257)
- Qi An (ORCID: https://orcid.org/0000-0001-7641-2632)
- Dongmei Wang (ORCID: https://orcid.org/0000-0002-7920-8626)
Institutions
- Public Health Clinical Center of Chengdu (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fimmu.2025.1599667
- Citations
- 3
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Natural Science Foundation of China