Combined analysis of the triglyceride–glucose index and melanin-concentrating hormone in metabolic dysfunction–associated fatty liver disease: a machine learning–based study
Serum MCH and the TyG index were independently associated with MAFLD. A machine learning-based screening model was developed and internally validated, showing promising performance for identifying individuals at higher risk. However, external validation in larger multicenter prospective cohorts is warranted before broader clinical application.
Authors
- Xiaoying Yuan (ORCID: https://orcid.org/0000-0002-6262-2804)
- Q Q Wang
- Qi Huang (ORCID: https://orcid.org/0000-0001-8734-1681)
- Heng Zhang (ORCID: https://orcid.org/0000-0002-0103-2173)
- Ling Li (ORCID: https://orcid.org/0000-0002-7894-8251)
- Hong Xu (ORCID: https://orcid.org/0000-0002-8341-5409)
- Yue Yuan (ORCID: https://orcid.org/0000-0001-5248-0016)
- Xin Liao (ORCID: https://orcid.org/0000-0002-8249-9620)
- Yan Deng (ORCID: https://orcid.org/0000-0002-9056-2554)
- Ying Zhang
- Qi Zeng
- Dingyan Luo
Institutions
- Zunyi Medical University (CN)
- Centre for Chronic Disease Control (IN)
- Hegang People's Hospital (CN)
- Affiliated Hospital of Zunyi Medical College (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2026-03-05
- DOI
- https://doi.org/10.3389/fnut.2026.1763190
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00