98%
921
2 minutes
20
Introduction: Chronological 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.
Method: 1,307 (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.
Results: Linear 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.
Conclusion: The 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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12167151 | PMC |
http://dx.doi.org/10.1016/j.bbi.2025.03.018 | DOI Listing |
Background And Aims: The role of anti-Müllerian hormone (AMH), a potential marker of the hypothalamic-pituitary-ovarian axis, is not well established in adolescent females. Typical epidemiologic studies use secondary sexual characteristics or chronological age as predictors for AMH. Skeletal maturity, an indicator of bone development, however, has not been examined in association with AMH in adolescent females.
View Article and Find Full Text PDFAnn Pediatr Endocrinol Metab
August 2025
Department of Pediatrics, Hanyang University Hospital, Seoul, Korea.
Purpose: Both premature adrenarche (PA) and obesity are closely linked to increases in bone age (BA). However, the mechanisms underlying these associations are unclear as research data, particularly in boys, are lacking. Therefore, our aim in this study was to test for an association between obesity and BA progression in boys with PA and to assess the role of adrenal androgen in the mediation of any identified association.
View Article and Find Full Text PDFJ Forensic Sci
September 2025
Laboratório de Ecologia Comportamental, Universidade Estadual de Mato Grosso do Sul (UEMS), Dourados, Mato Grosso do Sul, Brazil.
Blowflies are important to estimate the postmortem interval (PMI), since they are the first to interact with the carcass. However, depending on the decomposition stage, only pupae can be found. A method that has currently been suggested is the use of cuticular hydrocarbons (CHCs) in forensically important fly species to aid in estimating PMI; however, studies from the pupal stage are rare.
View Article and Find Full Text PDFMar Environ Res
August 2025
Southern Seas Ecology Laboratories, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia.
Otolith chemical approaches are widely used to inform fisheries management, supporting the identification of population structure, connectivity, and natal origins. Chemical transects combined with fish age and growth data can reveal individual life histories, highlighting movement patterns and environmental influences within populations. Scaling these distinct variations to the population-level through novel chronological approaches could further boost our understanding of long-term physiological and environmental processes, and their interactions across regions and species.
View Article and Find Full Text PDFPlant Cell Environ
September 2025
Max-Planck Institute for Biogeochemistry, Jena, Germany.
The time elapsed between carbon fixation into nonstructural carbohydrates (NSC) and their use to grow tree structural tissues can be estimated by C ages. Reported C-ages indicate that NSC used to grow root tissues (growth NSC) can vary from < 1 year to decades. To understand the controls of this variability, we compared C-ages of leaf, branch, and root tissues from two conifers (Larix decidua, Pinus mugo) in a control valley site and an alpine treeline ecotone where low temperatures restrict tree growth.
View Article and Find Full Text PDF