Evidence map›Paper›PMID 42812681›Full record

ReviewJournal of lipid and atherosclerosis2026

Myosteatosis and Dyslipidemia: Linking Muscle Quality to Cardiometabolic Risk.

Jung Yoon Moon, Chang Hee Jung

Abstract readReview
In one paragraph

Review in Journal of lipid and atherosclerosis, 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

2 authors.

Jung Yoon MoonDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0000-0542-1566
Chang Hee JungDepartment of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4043-2396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myosteatosis, the pathological accumulation of ectopic fat within skeletal muscle, has emerged as a key indicator of impaired muscle quality and metabolic dysfunction. It encompasses intermuscular and intramuscular adipose tissue as well as intramyocellular lipid, which differ in anatomical location, assessment methodology, and metabolic role. This review provides an integrated overview of myosteatosis, focusing on its bidirectional relationship with dyslipidemia. Myosteatosis represents a metabolically active fat depot characterized by heightened lipolytic and pro-inflammatory activity. It serves not only as an energy substrate for muscle contraction but also as a source of lipotoxic intermediates that impair insulin signaling. Dyslipidemia has been proposed to contribute to lipid overflow and ectopic fat deposition in skeletal muscle, whereas myosteatosis-induced insulin resistance may, in turn, be linked to increased hepatic de novo lipogenesis, potentially contributing to atherogenic dyslipidemia. Epidemiological studies consistently demonstrate associations between myosteatosis and adverse lipid profiles across populations, although the magnitude and specificity of these associations vary by sex, age, ethnicity, and accompanying adipose depots such as visceral fat. Most available evidence remains cross-sectional, and standardized quantification methods are lacking. Future longitudinal and interventional studies are needed to clarify causality, define diagnostic thresholds, and determine whether improving muscle quality can mitigate cardiometabolic risk. Incorporating myosteatosis assessment into clinical practice may enhance metabolic risk stratification beyond conventional measures of muscle mass and adiposity.

Indexed as

Body fat distributionDyslipidemiasLipid metabolismSkeletal muscle

Identifiers

PMID42812681
PMCPMC13620176

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.