Evidence map›Paper›PMID 41886216›Full record

ArticleGeroScience2026

Quadriceps mitochondrial DNA quantity, quality, and gene expression after 2 years of calorie restriction: exploratory results from the CALERIE trial.

Jayanta K Das, Yu Zhang, Leanne M Redman, Corby K Martin, Sai Krupa Das, Susan B Racette, Allen Herbst, Nianjun Liu, David B Allison, Debbie McKenzie and 8 more

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

18 authors.

Jayanta K Das *Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Yu Zhang *Department of Epidemiology and Biostatistics, Indiana University, Bloomington, USA.
Leanne M RedmanPennington Biomedical Research Center, Baton Rouge, LA, USA.
Corby K MartinPennington Biomedical Research Center, Baton Rouge, LA, USA.
Sai Krupa DasJean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA.
Susan B RacetteCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Allen HerbstDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Nianjun LiuDepartment of Epidemiology and Biostatistics, Indiana University, Bloomington, USA.
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University, Bloomington, USA.
Debbie McKenzieDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Judd M AikenDepartment of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Steve HorvathHuman Genetics, David Geffen School of Medicine, UCLA, Los Angeles, USA.
Julián CandiaLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Nirad BanskotaComputational Biology and Genomics Core, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
William E KrausDuke Molecular Physiology Institute, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Kim M HuffmanDuke Molecular Physiology Institute, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Jonathan WanagatDivision of Geriatrics, Department of Medicine, University of California, Los Angeles, 650 Charles E. Young Drive South, RM 34-115, Los Angeles, CA, 90095, USA. jwanagat@mednet.ucla.edu.ORCID http://orcid.org/0000-0002-8460-8616

Funding

Coordinating Center for CALERIEU01AG022132 · NIA · DUKE UNIVERSITY · PI KRAUS, WILLIAM E · 2002 to 2013
$24.9M
Metabolic Adaptations to Two Year Caloric RestrictionU01AG020478 · NIA · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RAVUSSIN, ERIC · 2002 to 2008
$13.4M
Caloric Restriction and Aging in HumansU01AG020487 · NIA · WASHINGTON UNIVERSITY · PI HOLLOSZY, JOHN O. · 2001 to 2009
$8.9M
ENHANCING THE CALERIE NETWORK TO ADVANCE AGING BIOLOGYR33AG070455 · NIA · DUKE UNIVERSITY · PI KIM M. HUFFMAN, WILLIAM E KRAUS · 2021 to 2026
$4.0M
NIA NIH HHS R33 AG070455NIA NIH HHS R33AG070455NIA NIH HHS U01AG020478NIA NIH HHS U01AG020487NIA NIH HHS U01 AG022132NIA NIH HHS U01AG022132RRD VA I01 RX004521U.S. Department of Veterans Affairs I01RX004521
6 · The paper itself

Abstract

The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE)™ trial was a randomized, 2-year controlled trial of caloric restriction (CR) versus an ad libitum (AL) control condition in nonobese humans. We performed exploratory analyses of muscle mitochondrial DNA (mtDNA) integrity, one element of mitochondrial quality. Our aims were to assess the feasibility of this approach, explore associations to inform future hypotheses, estimate effect sizes and statistical power for subsequent studies, and contribute additional data to the CALERIE database. We used droplet digital PCR to quantitate the copy numbers of nuclear DNA, mtDNA, and mtDNA deletion mutations in remnant total DNA samples extracted from quadriceps biopsies at baseline (n = 93), 12 months (n = 44), and 24 months (n = 31). MtDNA copy number and mutation frequency were correlated with existing gene expression data from the same muscle biopsies. MtDNA copy number was lower in females (p = 0.0005) and declined over time (p = 0.0001), with no statistically significant differences observed for CR versus AL (p = 0.2898) or age across both groups (p = 0.4644). Baseline copy number correlated positively with baseline physiological measures including fat-free mass (r = 0.43, p = 2e-05), self-reported energy intake (r = 0.34, p = 0.00077), resting metabolic rate (r = 0.42, p = 0.00261), total energy expenditure (r = 0.31, p = 0.00261), and V̇O₂max (r = 0.41, p = 1e-04), and with gene expression related to mitochondrial function, while showing negative correlations with nuclear genome maintenance, RNA splicing, and ribosomes. MtDNA mutation frequency increased with age (p = 0.0041) and showed a weak negative correlation with V̇O

Indexed as

Calorie restrictionDNAGene expressionHumanMitochondriaMutation

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.