Evidence map›Paper›PMID 38366047›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Associations of Skeletal Muscle Mass, Muscle Fat Infiltration, Mitochondrial Energetics, and Cardiorespiratory Fitness With Liver Fat Among Older Adults.

Daria Igudesman, Justine Mucinski, Stephanie Harrison, Peggy M Cawthon, Jennifer Linge, Bret H Goodpaster, Steven R Cummings, Russell T Hepple, Michael J Jurczak, Stephen B Kritchevsky and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

Daria IgudesmanAdventHealth Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0001-5209-4625
Justine MucinskiAdventHealth Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0003-4432-6638
Stephanie HarrisonSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.ORCID 0009-0005-0473-9800
Peggy M CawthonSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.ORCID 0000-0003-4938-9478
Jennifer LingeAMRA Medical, Linkoping, Ostergotland, Sweden.ORCID 0000-0001-7399-8375
Bret H GoodpasterAdventHealth Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0003-1275-5147
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, USA.ORCID 0000-0001-8808-260X
Russell T HeppleDepartment of Physical Therapy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0003-3640-486X
Michael J JurczakDivision of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6335-6915
Stephen B KritchevskyDivision of Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0003-3336-6781
David MarcinekDepartment of Radiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-5187-2149
Paul M CoenAdventHealth Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0002-2805-2115
Karen D CorbinAdventHealth Translational Research Institute, Orlando, Florida, USA.ORCID 0000-0003-2065-0003
Translational Research Institute for Metabolism and Diabetes · USCalifornia Pacific Medical Center · USUniversity of Florida · USUniversity of Pittsburgh · USUniversity of Washington · USWake Forest University · US

Funding

Study of Muscle, Mobility and Aging: SOMMA2R01AG059416 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI STEVEN RON CUMMINGS, Peggy Mannen Cawthon · 2018 to 2026
$70.3M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Obesity-associated Mitophagy ResistanceR01DK114012 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JURCZAK, MICHAEL J. · 2018 to 2022
$1.8M
NCATS NIH HHS UL1 TR001420NIA NIH HHS P30 AG021332NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG059416NIA NIH HHS R01AG059416NIDDK NIH HHS R01 DK114012
6 · The paper itself

Abstract

backgroundMuscle mass loss may be associated with liver fat accumulation, yet scientific consensus is lacking and evidence in older adults is scant. It is unclear which muscle characteristics might contribute to this association in older adults.

methodsWe associated comprehensive muscle-related phenotypes including muscle mass normalized to body weight (D3-creatine dilution), muscle fat infiltration (magnetic resonance imaging), carbohydrate-supported muscle mitochondrial maximal oxidative phosphorylation (respirometry), and cardiorespiratory fitness (VO2 peak) with liver fat among older adults. Linear regression models adjusted for age, gender, technician (respirometry only), daily minutes of moderate-to-vigorous physical activity, and prediabetes/diabetes status tested main effects and interactions of each independent variable with waist circumference (high: women-≥88 cm, men-≥102 cm) and gender.

resultsAmong older adults aged 75 (interquartile range: 73, 79 years; 59.8% women), muscle mass and liver fat were not associated overall (N = 362) but were positively associated among participants with a high waist circumference (β: 25.2; 95% confidence intervals [95% CI]: 11.7, 40.4; p = .0002; N = 160). Muscle fat infiltration and liver fat were positively associated (β: 15.2; 95% CI: 6.8, 24.3; p = .0003; N = 378). Carbohydrate-supported maximum oxidative phosphorylation (before adjustment) and VO2 peak (after adjustment; β: -12.9; 95% CI: -20.3, -4.8; p = .003; N = 361) were inversely associated with liver fat; adjustment attenuated the estimate for maximum oxidative phosphorylation although the point estimate remained negative (β: -4.0; 95% CI: -11.6, 4.2; p = .32; N = 321).

conclusionsSkeletal muscle-related characteristics are metabolically relevant factors linked to liver fat in older adults. Future research should confirm our results to determine whether trials targeting mechanisms common to liver and muscle fat accumulation are warranted.

Indexed as

Cardiorespiratory FitnessAgedBody WeightCarbohydratesFemaleHumansLiverMaleMuscle, SkeletalCarbohydratesHepatic issuesMetabolismMusclePhysical function

Identifiers

PMID38366047
PMCPMC10949442
OpenAlexW4391902799

What OpenQuestion holds

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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.