Evidence map›Paper›PMID 40507052›Full record

ArticleNutrients2025

Biological Age Acceleration Associated with the Progression Trajectory of Cardio-Renal-Metabolic Multimorbidity: A Prospective Cohort Study.

Yixing Tian, Jinqi Wang, Tianyu Zhu, Xia Li, Haiping Zhang, Xiaoyu Zhao, Xinghua Yang, Yanxia Luo, Lixin Tao, Zhiyuan Wu and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yixing TianDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0009-0000-4717-7784
Jinqi WangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Tianyu ZhuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Xia LiDepartment of Mathematics and Statistics, La Trobe University, Melbourne 3086, Australia.
Haiping ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Xiaoyu ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Xinghua YangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Yanxia LuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Lixin TaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-2135-046X
Zhiyuan WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA.
Xiuhua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0001-6657-6940

Funding

Capital's Funds for Health Improvement and Research CFH 2024-1G-4261The Program of Natural Science Fund of China 82373683
6 · The paper itself

Abstract

objectivesPrevious studies have confirmed that biological age (BA) acceleration is associated with single cardio-renal-metabolic diseases (CRMDs), typically including type 2 diabetes mellitus, cardiovascular disease, and chronic kidney disease. However, its association with progression to cardio-renal-metabolic multimorbidity (CRMM, coexistence of ≥2 CRMDs) and subsequent mortality remains unexplored.

methodsUsing the multi-state model, we analyzed 278,927 UK Biobank participants free of CRMDs at baseline to investigate the association between BA acceleration-measured by phenotypic age (PhenoAge) and Klemera-Doubal method age (KDMAge)-and CRMM progression trajectory, from health to the first CRMD and then to CRMM and death. BA acceleration was the residual from regressing BA on chronological age; positive values indicated a biologically older individual.

resultsPhenoAge acceleration showed stronger associations than KDMAge acceleration. Per the 1-SD increase in PhenoAge acceleration; HRs (95% CIs) were observed at 1.18 (1.17-1.19) for baseline to first CRMD; 1.24 (1.22-1.26) for first CRMD to CRMM; 1.25 (1.22-1.27) for baseline to death; 1.13 (1.11-1.15) for first CRMD to death; and 1.09 (1.06-1.12) for CRMM to death. Biologically older individuals by PhenoAge acceleration showed greater reductions in CRMD-free and total life expectancy than those by KDMAge acceleration. Age, socioeconomic status, education, smoking status, alcohol consumption, physical activity, and diet-modified risks for specific transitions.

conclusionsBA acceleration, particularly PhenoAge acceleration, relates to higher CRMM progression risk and shorter life expectancy. Combining BA acceleration with sociodemographic or lifestyle factors improves risk identification for specific transitions. BA acceleration offers the potential to guide CRMM prevention across its entire progression.

Indexed as

AgingCardiovascular DiseasesDiabetes Mellitus, Type 2Metabolic DiseasesMultimorbidityRenal Insufficiency, ChronicAgedAge FactorsDisease ProgressionFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsUnited Kingdombiological agecardiovascular diseaseschronic kidney diseasediabetesmultimorbidity

Identifiers

PMID40507052
PMCPMC12157706

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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 OpenQuestion graph.