UQCR10 and TNNT1: novel biomarkers for sarcopenia identified through integrated transcriptomic analysis and machine learning
Our integrated transcriptomic approach identified a promising two-biomarker panel (UQCR10 + TNNT1) for sarcopenia detection and elucidated key molecular mechanisms underlying the condition. While these findings are hypothesis-generating and require validation in larger, more diverse cohorts, they provide mechanistic insights and candidate biomarkers warranting further development. The identified genes and pathways offer potential targets for novel therapeutic interventions aimed at preserving muscle health during aging.
Authors
- Weihua Sun (ORCID: https://orcid.org/0000-0003-4578-8113)
- Zhitao Shangguan (ORCID: https://orcid.org/0000-0002-7669-1915)
- Qiong Lin (ORCID: https://orcid.org/0000-0002-7964-6191)
- Jiandong Li (ORCID: https://orcid.org/0000-0002-5857-8177)
- Gang Chen (ORCID: https://orcid.org/0000-0002-8105-2384)
- Xiaoqing Ye (ORCID: https://orcid.org/0000-0002-5912-3895)
Institutions
- Fujian Medical University (CN)
- Union Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1186/s40001-025-03471-w
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16