Evidence map›Paper›PMID 40050903›Full record

Observational studyJournal of translational medicine2025

COVID-19 infection and longevity: an observational and mendelian randomization study.

Shizheng Qiu, Jianhua Liu, Jiahe Guo, Zhishuai Zhang, Yu Guo, Yang Hu

Abstract readObservational Study
In one paragraph

Observational study in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Shizheng Qiu *School of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Nangang District, Harbin, 150001, China.
Jianhua Liu *Beidahuang Industry Group General Hospital, Harbin, 150088, China.
Jiahe GuoSchool of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Nangang District, Harbin, 150001, China.
Zhishuai ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Nangang District, Harbin, 150001, China.
Yu GuoSchool of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Nangang District, Harbin, 150001, China.
Yang HuSchool of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Nangang District, Harbin, 150001, China. huyang@hit.edu.cn.ORCID 0000-0002-4508-5365

Funding

National Natural Science Foundation of China 62371161
6 · The paper itself

Abstract

backgroundStudies have indicated that COVID-19 infection may accelerate the aging process in organisms. However, it remains unknown whether contracting COVID-19 affects life expectancy. Furthermore, the underlying biological mechanisms behind these findings are still unclear.

methodsWe conducted a prospective cohort study on 56,504 participants of European ancestry from the UK Biobank who reported the time and number of COVID-19 infection between January 2020 and September 2023. The parental average longevity was used as a proxy for their own longevity. Linear regression was used to assess the relationship between COVID-19 infection and longevity. Furthermore, we investigated the shared genetic basis between COVID-19 and longevity using large-scale genome-wide association studies (GWAS) for COVID-19 (122,616 cases and 2,475,240 controls) and longevity (3,484 cases and 25,483 controls). Mendelian randomization (MR) and mediation analysis were utilized to assess causal relationships and potential mediators between COVID-19 susceptibility and longevity. Shared genetic loci between the two phenotypes were identified using conjunctional false discovery rate (conjFDR) statistical frameworks.

resultsAfter controlling for relevant covariates, COVID-19 infection might not be significantly correlated with longevity. In all MR methods, generalized summary-data-based Mendelian randomization (GSMR) analysis revealed a significant decrease in longevity due to severe COVID-19 infection (OR = 0.91, 95%CI: 0.84-0.98, P = 0.015). Mediation analysis identified stroke and myocardial infarction as potential mediators between COVID-19 susceptibility and reduced longevity. At conjFDR < 0.05, we identified rs62062323 (KANSL1) and rs9530111 (PIBF1) as shared loci between COVID-19 and longevity.

conclusionTogether, our findings provided preliminary evidence for the shared genetic basics between COVID-19 and aging. This discovery may have implications for personalized medicine and preventive strategies, helping identify individuals who may be more vulnerable to severe outcomes from COVID-19 due to their genetic makeup.

Indexed as

COVID-19LongevityMendelian Randomization AnalysisAgedFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesSARS-CoV-2United KingdomConjunctional false discovery rateCOVID-19Genome-wide association studyLongevityMediation analysisMendelian randomization

Identifiers

PMID40050903
PMCPMC11887240

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Registered trials

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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.