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.

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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
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article

Identification of characteristic genes ofanddeficiency constitutions: an integrated analysis based on bioinformatics and machine learning.

Jie Lin, Zi-Xuan WANG, Xi Long, Peng Qinghua et al.
PubMed
Nutrition, Genetics, and Disease
article

Identification of characteristic genes ofanddeficiency constitutions: an integrated analysis based on bioinformatics and machine learning.

Jie Lin, Zi-Xuan WANG, Xi Long, Peng Qinghua, Yin Yunfeng
article en

Abstract

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.

PubMedVol. 45(4)
Hunan University of Traditional Chinese Medicine (CN), First Affiliated Hospital of Hunan University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 77%
Nutrition, Genetics, and Disease
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