Evidence map›Paper›PMID 40390202›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Plasma proteomic analysis of intermuscular fat links muscle integrity with processing speed in older adults.

Toshiko Tanaka, Caterina Rosano, Xiaoning Huang, Qu Tian, Bennett A Landman, Ann Z Moore, Iva Miljkovic, Andrew Perry, Sadiya Khan, Ravi Kalhan and 6 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Plasma proteomic analysis of intermuscular fat links muscle integrity with processing speed in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Toshiko TanakaLongitudinal Studies Section, Translational Gerontology Branch, NIH, NIA, Baltimore, Maryland, USA.
Caterina RosanoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Xiaoning HuangDivision of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Qu TianLongitudinal Studies Section, Translational Gerontology Branch, NIH, NIA, Baltimore, Maryland, USA.
Bennett A LandmanDepartment of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Ann Z MooreLongitudinal Studies Section, Translational Gerontology Branch, NIH, NIA, Baltimore, Maryland, USA.
Iva MiljkovicDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Andrew PerryVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Sadiya KhanDivision of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Ravi KalhanDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
John Jeffrey CarrDepartment of Electrical and Computer Engineering, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
James G TerryDepartment of Electrical and Computer Engineering, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Kristine YaffeUCSF Weill Institute for Neurosciences, University of California-San Francisco, San Francisco, California, USA.
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, Maryland, USA.
Julián CandiaLongitudinal Studies Section, Translational Gerontology Branch, NIH, NIA, Baltimore, Maryland, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, NIH, NIA, Baltimore, Maryland, USA.

Funding

Transitions from Impaired Respiratory Health to Lung DiseaseR01HL122477 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI RAVI KALHAN · 2014 to 2026
$17.3M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - COORDINATING CENTER (CC)75N92023D00002 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LI, JING · 2023 to 2025
$6.8M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - OAKLAND FIELD CENTER75N92023D00003 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BHATT, ANKEET S. · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - BIRMINGHAM FIELD CENTER75N92023D00005 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - CHICAGO FIELD CENTERDIVERSITY SUPPLEMENT FOR MORGANN WEST75N92023D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI CARNETHON, MERCEDES · 2023 to 2025
$2.1M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - UNIVERSITY OF MINNESOTA FIELD CENTER.75N92023D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI SCHREINER, PAMELA J · 2023 to 2025
$1.7M
NHLBI NIH HHS 75N92023D00002NHLBI NIH HHS 75N92023D00003NHLBI NIH HHS 75N92023D00004NHLBI NIH HHS 75N92023D00005NHLBI NIH HHS 75N92023D00006NHLBI NIH HHS R01 HL122477
6 · The paper itself

Abstract

introductionMore intermuscular fat (IMF) has been associated with lower cognitive performance through mechanisms that are not fully elucidated.

methodsThe associations of 7628 plasma proteins with IMF were assessed in the Baltimore Longitudinal Study on Aging (n = 941, mean age = 66.7 ± 15.2) and validated in the Coronary Artery Risk Development in Young Adults Study (n = 2451, mean age = 50.2 ± 3.6). Processing speed was assessed by Digit Symbol Substitution Test (DSST). Associations between the main exposures, outcome, and mediators were evaluated using linear regression, and mediating effects were assessed by causal mediation analysis.

resultsThere were 722 plasma proteins associated with IMF in both the discovery and replication cohorts (false discovery rate [FDR] adjusted p ≤ 0.05). Of these, 26 mediated the relationship between IMF and DSST, with effects ranging from 2.8% to 20.9% (p ≤ 0.05). These proteins represented synaptic function and organization, and growth factor binding (FDR adjusted p ≤ 0.05). DISCUSSION: Reducing IMF may improve processing speed through effects on growth factor and synaptic activity. HIGHLIGHTS: Higher intermuscular fat is associated with lower processing speed, consistently across populations that represent different demographic characteristics. There is a robust plasma proteomic profile of intermuscular fat that is assessed in the abdominal and thigh skeletal muscle. The proteins associated with intermuscular fat reflect signals that are reflective of synaptic function and organization, as well as other molecular pathways such as growth factor binding. Circulating proteins partially explain the association between higher intermuscular fat and lower processing speed, suggesting that higher intermuscular fat effects processing speed through pathways including synaptic functions and growth factor binding.

Indexed as

Adipose TissueAgingBlood ProteinsMuscle, SkeletalProteomicsAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsProcessing SpeedBlood Proteinsagingepidemiologyintermuscular fatprocessing speedproteomics

Identifiers

PMID40390202
PMCPMC12089079

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.