| Title: | Accelerated Biological Aging, Genetic Predisposition, and Incident Valvular Heart Disease |
| Journal: | JACC Asia |
| Published: | 13 Aug 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40817903/ |
| DOI: | https://doi.org/10.1016/j.jacasi.2025.06.011 |
Publication 16562
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Abstract
BACKGROUND: The association between biological aging and valvular heart disease (VHD) has not yet been evaluated.</p>
OBJECTIVES: This study aimed to evaluate the associations between 2 biological age indicators, Klemera-Doubal method biological age (KDM-BA) acceleration and PhenoAge acceleration, and the risk of VHD, as well as explore the potential gene-environment interplay.</p>
METHODS: The study included 341,460 UK Biobank participants without VHD at enrollment. Biological age was assessed using KDM-BA and PhenoAge methods. Genetic risk was measured by genome-wide-association study-based polygenic risk scores (PRS). Cox models were used to assess the individual and joint effects of biological age and PRS on incident VHD. Both multiplicative and additive interactions between the 2 factors were also estimated.</p>
RESULTS: During a median follow-up of 13.58 years (Q1-Q3: 12.83-14.25 years), 8,146 VHD cases were documented. The results showed a significant association between older biological age and an increased risk of VHD, with a HR of 1.35 (95% CI: 1.32-1.38) for each 1-SD increase in KDM-BA acceleration, and 1.29 (95% CI: 1.26-1.32) for PhenoAge acceleration. Compared with individuals in the first quartile group (Q1) for KDM-BA acceleration, those in Q4 showed the highest risk of VHD, with an 86% higher risk (HR: 1.86; 95% CI: 1.74-1.99). There was an additive interaction between KDM-BA acceleration and PRS for VHD. Similar results were found for the association between PhenoAge acceleration and VHD.</p>
CONCLUSIONS: Advanced biological aging was significantly associated with an increased risk of VHD and could serve as a potential target for clinical prediction and intervention.</p>
8 Authors
- Yong-Jian Zhu
- Xiang-Ying Suo
- Jing Guo
- Shuo Lu
- Jun-Xi Zhang
- Ya-Cong Bo
- Zhan-Ying Han
- Chun-Guang Qiu
1 Application
| Application ID | Title |
|---|---|
| 93398 | Investigating the risk factors of non-communicable chronic disease using biomarkers, lifestyle factors, and environmental factors |
Enabling scientific discoveries that improve human health