Evidence map›Paper›PMID 37338007›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2023

Association between infectious exposures in infancy and epigenetic age acceleration in young adulthood in metropolitan Cebu, Philippines.

Thomas W McDade, Calen P Ryan, Linda S Adair, Nanette R Lee, Delia B Carba, Julia L MacIsaac, Kristy Dever, Parmida Atashzay, Michael S Kobor, Christopher W Kuzawa

Open access · hybridAbstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. The impact of the Social Exposome in Cardiovascular Health and Disease.Journal of precision medicine (Amsterdam, Netherlands) · 2025
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Thomas W McDadeDepartment of Anthropology, Northwestern University, Evanston, Illinois, USA.ORCID 0000-0001-5829-648X
Calen P RyanRobert N. Butler Columbia Aging Center, Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Linda S AdairDepartment of Nutrition, Gillings School of Global Public Health, Carolina Population Center, CB #8120, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Nanette R LeeOffice of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.
Delia B CarbaOffice of Population Studies Foundation, University of San Carlos, Cebu City, Philippines.
Julia L MacIsaacDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Kristy DeverDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Parmida AtashzayDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Michael S KoborDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Christopher W KuzawaDepartment of Anthropology, Northwestern University, Evanston, Illinois, USA.ORCID 0000-0002-0649-8677
University of British Columbia · CAFoundation University · PHNorthwestern University · USColumbia University · USUniversity of North Carolina at Chapel Hill · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Lifecourse determinants and outcomes of epigenetic age acceleration across two generationsR01AG061006 · NIA · NORTHWESTERN UNIVERSITY · PI KUZAWA, CHRISTOPHER · 2019 to 2023
$2.6M
NIA NIH HHS R01 AG061006NICHD NIH HHS P2C HD050924NIH HHS R01 AG061006
6 · The paper itself

Abstract

objectivesThe drivers of human life expectancy gains over the past 200 years are not well-established, with a potential role for historical reductions in infectious disease. We investigate whether infectious exposures in infancy predict biological aging using DNA methylation-based markers that forecast patterns of morbidity and mortality later in life.

methodsN = 1450 participants from the Cebu Longitudinal Health and Nutrition Survey-a prospective birth cohort initiated in 1983-provided complete data for the analyses. Mean chronological age was 20.9 years when venous whole blood samples were drawn for DNA extraction and methylation analysis, with subsequent calculation of three epigenetic age markers: Horvath, GrimAge, and DunedinPACE. Unadjusted and adjusted least squares regression models were evaluated to test the hypothesis that infectious exposures in infancy are associated with epigenetic age.

resultsBirth in the dry season, a proxy measure for increased infectious exposure in the first year of life, as well as the number of symptomatic infections in the first year of infancy, predicted lower epigenetic age. Infectious exposures were associated with the distribution of white blood cells in adulthood, which were also associated with measures of epigenetic age.

conclusionsWe document negative associations between measures of infectious exposure in infancy and DNA methylation-based measures of aging. Additional research, across a wider range of epidemiological settings, is needed to clarify the role of infectious disease in shaping immunophenotypes and trajectories of biological aging and human life expectancy.

Indexed as

AgingCommunicable DiseasesAdultDNA MethylationEpigenesis, GeneticGenetic MarkersHumansInfantPhilippinesProspective StudiesYoung AdultGenetic Markers

Identifiers

PMID37338007
PMCPMC10730771
OpenAlexW4381309709

What OpenQuestion holds

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Registered trials

None linked

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.