Identification of characteristic genes ofanddeficiency constitutions: an integrated analysis based on bioinformatics and machine learning.
This study identified C7orf60, CFL2, CYTIP, GPR183, HIAT1, KLHL15, MAPK6, and PTGS2 in <i>Yin</i> deficiency and FUT8, TAF1D, ZNF24, MAPK6, and LEPROTL1 in <i>Yang</i> deficiency as potential biomarkers, providing insights into their pathogenesis. This theory not only guides the diagnostic approach in TCM but also extends its influence to various scientific research fields.
Authors
- Jie Lin (ORCID: https://orcid.org/0000-0002-8971-0660)
- Zi-Xuan WANG
- Xi Long (ORCID: https://orcid.org/0009-0000-0743-0757)
- Peng Qinghua
- Yin Yunfeng
Institutions
- Hunan University of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Hunan University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-08-01
- DOI
- https://doi.org/10.19852/j.cnki.jtcm.2025.04.021
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00