Evidence map›Paper›PMID 40068792›Full record

ArticleBrain, behavior, and immunity2025

Age and Inflammation: Insights on "Age Three Ways" from Midlife in the United States Study.

Dakota D Witzel, Aarti C Bhat, Jennifer E Graham-Engeland, David M Almeida

Abstract read
In one paragraph

Article in Brain, behavior, and immunity, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Dakota D WitzelCollege of Education, Counseling, and Human Development, South Dakota State University, United States; Center for Healthy Aging, Penn State University, United States. Electronic address: Dakota.witzel@sdstate.edu.
Aarti C BhatCenter for Healthy Aging, Penn State University, United States; Human Development and Family Studies, Penn State University, United States; Population Research Institute, Penn State University, United States.
Jennifer E Graham-EngelandCenter for Healthy Aging, Penn State University, United States; Biobehavioral Health, Penn State University, United States.
David M AlmeidaCenter for Healthy Aging, Penn State University, United States; Human Development and Family Studies, Penn State University, United States; Population Research Institute, Penn State University, United States.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
Integrative Pathways to Cognitive, Affective, and Brain HealthU01AG077928 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson, MARGIE E LACHMAN · 2022 to 2026
$17.7M
Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Genomics for Social Scientists: 2022-2027R25AG053227 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, COLTER M.S. MITCHELL · 2016 to 2026
$1.6M
Stress and Affective Mechanisms that Relate to Inflammation in Diverse Older Men and WomenR03AG088758 · NIA · SOUTH DAKOTA STATE UNIVERSITY · PI WITZEL, DAKOTA DANIELLE · 2024 to 2024
$149k
NIA NIH HHS R03 AG088758NIA NIH HHS R25 AG053227NIA NIH HHS T32 AG049676NIA NIH HHS U01 AG077928NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

introductionChronological age is a particularly well-known indicator of variability in systemic inflammation. Other pertinent aspects of age (or "age proxies") - subjective or epigenetic age - may offer nuanced information about age and inflammation associations. Using the Midlife in the United States Study, we explored how chronological, subjective, and epigenetic age were associated with inflammation. Further, we tested whether chronological age remained a unique predictor of inflammation after accounting for the variance of subjective and epigenetic age. Using an intersectionality framework, we also tested whether associations differed by race and gender.

method1,307 (85.39% White, 52.99% men) participants reported on their chronological and subjective age and provided blood from which epigenetic DNA and inflammatory biomarkers (IL-6, IL-8, fibrinogen, TNF-α, and E-selectin) were determined.

resultsLinear regressions showed that being chronologically older was related to higher levels of inflammation. Being biologically older (higher epigenetic age or pace of aging) was also related to higher levels of all but IL-8. Subjective age was related to inflammatory biomarkers but only for people who identified their racial identity as White. Gender differences emerged, primarily with biological and chronological age. With all age indicators in one model, chronological age remained a unique indicator of inflammation in the sample, as similar to or a better predictor than biological age.

conclusionThe current study provides a better scientific understanding of the relative association of chronological age versus subjective and epigenetic age on inflammation with evidence suggesting that chronological age provides novel information above and beyond other proxies of age.

Indexed as

AgingInflammationAdultAgedBiomarkersEpigenesis, GeneticE-SelectinFemaleFibrinogenHumansInterleukin-6Interleukin-8MaleMiddle AgedTumor Necrosis Factor-alphaUnited StatesBiomarkersE-SelectinFibrinogenInterleukin-6Interleukin-8Tumor Necrosis Factor-alphaChronological AgeEpigenetic AgeInflammationMIDUSSubjective Age

Identifiers

PMID40068792
PMCPMC12167151

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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.