Multi-omics driven paradigm for construction of traditional Chinese Medicine Zheng (syndrome) diagnosis and treatment model, taking Shi Zheng (syndrome of dampness) as an example

作者：Wenkai Wang, Le Yang, Wanhua Li, Ye Sun, Hui Sun, Yanjia Chen, Junling Ren, Jianwen Guo, Shuyun Wei, Fengye Lin, Guangli Yan, Ying Han, Qubo Chen, Xijun Wang · 发表于：Chinese Medicine · 年份：2025 · DOI：10.1186/s13020-025-01085-2 · 被引用次数：15 · 研究领域：Traditional Chinese Medicine Studies、Metabolomics and Mass Spectrometry Studies、Ginseng Biological Effects and Applications

BACKGROUND: Shi Zheng (SZ, syndrome of dampness) is a major syndrome type in traditional Chinese Medicine (TCM), the ambiguity of its pathomechanism and the lack of blood diagnostic indicators have limited the understanding of the development of SZ. PURPOSE: To explore the pathological mechanism of SZ and establish a symptom-centered diagnosis and treatment model. METHODS: We recruited 250 participants, including healthy individuals and patients diagnosed with SZ. Serum metabolomics and proteomics analyses were performed to screen common pathways. Along with the biological significance of common pathways, a common pathway-symptom correlation diagram was constructed to elucidate the pathological mechanism underlying the occurrence and development of SZ. The enrichment score and correlations with SZ main symptom was used to screen the key common pathways. The key common pathways related to differential metabolites and proteins were used to establish a multi-index diagnostic model and protein therapy target group. RESULTS: Joint metabolomics and proteomics analyses revealed 18 common pathways associated with symptoms. Six key pathways, such as pathogenic Escherichia coli infection, rheumatoid arthritis, PPAR signaling pathway, bile secretion, GnRH signaling pathway, and fat digestion and absorption were correlated with the main symptoms of SZ. These symptoms included greasy/thick/slippery tongue coating, heavy head, heavy body, heavy limbs, heavy joints, greasy hair, sticky mout...