Evidence map›Paper›PMID 42730911›Full record

ArticleGeroScience2026

Impact of caloric restriction on biological aging: insights from a composite biomarker index in older adults.

Cassidy A Guida, Fang-Chi Hsu, Rebecca Neiberg, Charles Semelka, Haiying Chen, Philip Kramer, Denise K Houston, Barbara Nicklas, Stephen B Kritchevsky, Michael E Miller

Abstract read
PubMed Publisher
In one paragraph

Article in GeroScience, 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

10 authors.

Cassidy A GuidaSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA. cassidy.guida@wfusm.edu.ORCID http://orcid.org/0009-0001-3891-8592
Fang-Chi HsuDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Rebecca NeibergDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Charles SemelkaSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Haiying ChenDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Philip KramerSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Denise K HoustonSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Barbara NicklasSection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Stephen B KritchevskySection of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.
Michael E MillerDivision of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, 27106, USA.

Funding

Foundation for the National Institutes of Health P30 AG012332Foundation for the National Institutes of Health R01 AG020583Foundation for the National Institutes of Health R01AG051624Foundation for the National Institutes of Health R01 AG056418Foundation for the National Institutes of Health R01 AR052528Foundation for the National Institutes of Health R01 HL076441Foundation for the National Institutes of Health R01 HL093713Foundation for the National Institutes of Health T32 AG033534Foundation for the National Institutes of Health U01 AG073240Foundation for the National Institutes of Health UM1 TR004929
6 · The paper itself

Abstract

Caloric restriction (CR) extends lifespan and delays age-related diseases in model organisms, yet its effects on biological aging in humans remain unclear. We pooled data from seven randomized CR trials (n = 829) and examined randomization to CR and change in weight with a biomarker index composed of CRP, IL-6, cystatin C, insulin, GDF-15, and TNF-R1. CR improved the composite biomarker index. The effect of CR decreased from -2.2 to -1.2 (95% CI -2.0 to -0.3) after adjustment for weight, while the effect of weight loss decreased from 0.22 to 0.16 (95% CI 0.09 to 0.23) when CR was included in the model, suggesting improvements in the biomarker index are only partially mediated by the amount of weight loss. Mediation analyses showed that only 48.5% (95% CI 22.6 to 82.2%) of the CR effects were explained by weight loss. These findings support the potential for composite biomarker indices as measures of intervention response and CR as a strategy to target biological aging.

Indexed as

AgingBiomarkersCaloric restrictionOlder adults

Identifiers

PMID42730911

What OpenQuestion holds

Textmetadata
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.