Evidence map›Paper›PMID 42846316›Full record

ReviewFrontiers in nutrition2026

Beyond body mass index: phenotypic and circulating biomarkers for the identification and characterization of sarcopenic obesity.

Maha Al Turki

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 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

1 author.

Maha Al TurkiDepartment of Clinical Nutrition, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenic obesity (SO), the coexistence of excess adiposity with low skeletal muscle mass and function, is a growing but frequently underdiagnosed condition associated with physical disability, cardiometabolic disease, and increased mortality. Its recognition is hampered by an over-reliance on body mass index, which conceals muscle depletion, and by consensus diagnostic pathways that identify SO only once measurable functional impairment has developed. Advances in body-composition imaging and molecular biology may enable detection of subclinical abnormalities not captured by conventional anthropometric or functional assessment. This narrative review examines the phenotypic and circulating biomarkers proposed for the identification and characterization of SO. It first considers phenotypic markers of muscle quantity and, increasingly, muscle quality including myosteatosis quantified by computed tomography and the bioelectrical phase angle. It then surveys the molecular landscape: myokines and adipokines (myostatin, irisin, the leptin-to-adiponectin ratio), inflammatory mediators (such as tumor necrosis factor-α and interleukin-6) that drive anabolic resistance, and emerging metabolomic, lipidomic, and microRNA signatures. Drawing these together, we propose an integrated phenotype-biomarker framework for precision risk characterization, and consider its relevance in the era of highly effective pharmacological weight loss, where muscle preservation has become an urgent priority. Although most molecular markers remain investigational and lack standardized cut-offs, their integration with phenotypic assessment offers a promising route toward earlier, individualized identification of SO; assay standardization and prospective validation are the principal priorities for translation. The proposed framework is conceptual and has not been prospectively validated.

Indexed as

anabolic resistancebiomarkersbody compositionmuscle qualitymyokinesmyosteatosisprecision nutritionsarcopenic obesity

Identifiers

PMID42846316
PMCPMC13643695

What Socratic 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 Socratic graph.