Evidence mapPaperPMID 41524049Full record

ArticleReviews in cardiovascular medicine2025

Accelerated Biological Aging, Genetic Susceptibility, and the Risk of Abdominal Aortic Aneurysm: A Prospective Cohort Study.

Yiyang Tang, Xinyi Zhou, Qin Chen, Zaixin Yu, Mukamengjiang Juaiti, Lihuang Zha

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Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yiyang TangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.ORCID https://orcid.org/0000-0002-3441-7918
Xinyi ZhouDepartment of Cardiology, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China.ORCID https://orcid.org/0009-0005-6381-3724
Qin ChenDepartment of Cardiology, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China.ORCID https://orcid.org/0009-0007-6094-2736
Zaixin YuDepartment of Cardiology, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-3555-1887
Mukamengjiang JuaitiDepartment 5 of Cardiology, Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University, 830000 Urumqi, Xinjiang Uygur Autonomous Region, China.ORCID https://orcid.org/0000-0003-0714-4392
Lihuang ZhaDepartment of Cardiology, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-8024-4501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biological age (BA) more accurately reflects the true ageing status of the body compared with chronological age. While biological aging is associated with various cardiovascular diseases, the relationship between BA and abdominal aortic aneurysms (AAAs) remains unclear. Methods: This study utilized data from the UK Biobank for analysis. Telomere length (TL) and BA acceleration, calculated using the Klemera-Doubal method (KDM) and phenotypic age (PhenoAge) methods, were used as surrogate measures of biological aging. Cox regression was primarily performed to explore the association between biological aging and AAA risk. Genetic susceptibility was assessed by constructing a polygenic risk score (PRS). Results: This study included 311,646 participants with a median age of 58 years. A total of 1339 new cases of AAA (4.33‰) were reported over a median follow-up period of 12.54 years. Each standard deviation (SD) increase in TL was associated with a 17% decreased risk of AAA (hazard ratio (HR) = 0.83, 95% confidence interval (CI) = 0.79-0.88). Each SD increase in BA acceleration in the KDM was associated with a 21% increased risk (HR = 1.21, 95% CI = 1.12-1.29), and and each SD increase in acceleration in the PhenoAge method was associated with a 40% increased risk (HR = 1.40, 95% CI = 1.32-1.48). These associations were independent of genetic risk, as assessed by the PRS, and a joint effect on AAA occurrence was observed. Additionally, we identified a sex-specific modification in the association between telomere shortening and AAA risk, with a significant association observed exclusively in men. Conclusions: Accelerated biological aging was longitudinally associated with an increased risk of AAA, suggesting that BA may be a significant factor and a potential biomarker for AAA.

Indexed as

abdominal aortic aneurysmbiological aginggenetic susceptibilityUK Biobank

Identifiers

PMID41524049
PMCPMC12780995

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.