Evidence map›Paper›PMID 41741349›Full record

SynthesisThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Rethinking immune studies: population-level immune variations and the path forward.

Micah R Hysong, Aylin Memili, Joseph A Delaney, Lynette Ekunwe, Sally Huber, Alexander P Reiner, Bruce M Patsy, Colleen M Sitlani, Russell P Tracy, Kent D Taylor and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Micah R HysongDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Aylin MemiliDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
Joseph A DelaneyGeneral Internal Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, United States.
Lynette EkunweDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States.
Sally HuberDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States.
Alexander P ReinerDepartment of Epidemiology, University of Washington, Seattle, Washington, United States.
Bruce M PatsyDepartment of Medicine & Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States.
Colleen M SitlaniDepartment of Medicine & Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States.ORCID 0000-0001-7656-7482
Russell P TracyDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States.
Nels C OlsonDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States.
Margaret F DoyleDepartment of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, United States.ORCID 0000-0001-6769-5386
Laura M RaffieldDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0002-7892-193X

Funding

CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
CARDIOVASCULAR HEALTH STUDY (CHS) - TASK AREA C, STUDY CLOSEOUT75N92021D00006 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE · 2021 to 2024
$8.4M
Infrastructure for mentored access to CHS data and specimensR01HL172803 · NHLBI · UNIVERSITY OF WASHINGTON · PI James S Floyd, Michelle Christina Odden · 2025 to 2026
$2.7M
CHS-Transition PhaseN01HC55222 · NHLBI · PI , · 2007 to 2007
$575k
Cardiovascular Health R01AG075884Cardiovascular Health R01HL105756Cardiovascular Health R01HL120854Cardiovascular Health R01HL132947Cardiovascular Health R01HL135625Cardiovascular Health R01HL172803Cardiovascular Health U01HL080295Cardiovascular Health U01HL130114National Center for Advancing Translational Sciences (NCATS)National Heart, Lung, and Blood Institute (NHLBI)National Institute of Neurological Disorders and Stroke (NINDS) R01AG023629National Institute on Aging (NIA) N01-HC-95159National Institute on Aging (NIA) N01-HC-95160National Institute on Aging (NIA) N01-HC-95161National Institute on Aging (NIA) N01-HC-95162National Institute on Aging (NIA) N01-HC-95163, N01-HC-95164National Institute on Aging (NIA) N01-HC-95165National Institute on Aging (NIA) N01-HC-95166National Institute on Aging (NIA) N01-HC-95167, N01-HC-95168National Institute on Aging (NIA) N01-HC-95169National Institute on Minority Health and Health Disparities (NIMHD)National Institutes of Health, or the U.S. Department of Health and Human ServicesNHLBINHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL172803NHLBI NIH HHS UL1-TR-000040NHLBI NIH HHS UL1-TR-001079NHLBI NIH HHS UL1-TR-001420NIMHD NIH HHS HHSN268201800013I
6 · The paper itself

Abstract

Shifts in immune cell proportions underlie disease progression and immunotherapy response, positioning them as promising diagnostic biomarkers and therapeutic targets. However, these shifts also occur naturally across the lifespan and vary with demographic factors such as age and sex, which may complicate their interpretation and clinical utility. While demographic associations have been explored previously, there have been mixed results likely due to small sample sizes and cross-cohort population-specific differences. To address these limitations, we conducted a meta-analysis across 3 large, diverse cohort studies to evaluate associations between 20 immune cell subtypes, 3 informative cell ratios, and a range of sociodemographic variables such as age, sex, self-identified race and ethnicity (SIRE), and socioeconomic status. We find consistent and significant associations across all sociodemographic dimensions. Cytomegalovirus (CMV)-a key driver of immune senescence-emerged as a major contributor to variation in immune composition and CMV antibody levels were higher among women, individuals of lower socioeconomic status, and marginalized racial and ethnic groups. In addition, male sex showed similar patterns of association with immune profiles as aging, whereas race did not. These findings underscore the need to account for diverse sociodemographic factors in immunology study design and participant recruitment to avoid population-specific biases and ensure broadly generalizable results.

Indexed as

AgingCytomegalovirusCytomegalovirus InfectionsFemaleHumansMaleSex FactorsAssociationsDemographicsImmune cell subtypesMeta-analysis

Identifiers

PMID41741349
PMCPMC13026416

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.