Evidence map›Paper›PMID 41231146›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Role of Peptides in Skeletal Muscle Wasting: A Scoping Review.

Petar Naumovski, Bart De Spiegeleer, Aster Wakjira, Christophe Van De Wiele, Vincent Mouly, Katarzyna Goljanek-Whysall, Kauê Santana da Costa, Ewerton Cristhian Lima de Oliveira, Evelien Wynendaele, Anton De Spiegeleer

Abstract readScoping Review
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  6. Role of Peptides in Skeletal Muscle Wasting: A Scoping Review.Journal of cachexia, sarcopenia and muscle · 2025
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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

10 authors.

Petar NaumovskiTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.
Bart De SpiegeleerTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.
Aster WakjiraTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.
Christophe Van De WieleTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.
Vincent MoulyInstitut de Myologie, Centre de Recherche en Myologie, Inserm, Sorbonne Université, Paris, France.
Katarzyna Goljanek-WhysallDepartment of Physiology, School of Medicine, Galway RNA Research Cluster, NUI Galway, Galway, Ireland.
Kauê Santana da CostaLaboratory of Computational Simulation, Institute of Biodiversity, Federal University of Western Pará, Santarém, Pará, Brazil.
Ewerton Cristhian Lima de OliveiraInstituto Tecnológico Vale (ITV), Belém, Pará, Brazil.
Evelien WynendaeleTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.
Anton De SpiegeleerTranslational Research in Immunosenescence, Gerontology and Geriatrics (TRIGG) Group, Ghent University Hospital, Ghent, Belgium.ORCID 0000-0002-3681-2807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic muscle wasting is a prevalent condition that predicts adverse health outcomes in aging and disease. Despite its clinical relevance, the development of predictive biomarkers and effective pharmacological therapies remains limited. Peptides have recently gained attention for their diverse bioactive functions, positioning them as promising biomarkers and therapeutic agents for muscle wasting.

methodsThis scoping review systematically identifies studies examining the direct association between well-defined peptides and clinical components of muscle wasting: muscle mass, strength and physical performance. The review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) guidelines. A comprehensive search of Embase, PubMed and Web of Science was conducted up to 31 October 2024, focusing on original human or animal studies. Studies involving congenital or inherited muscle disorders, inflammatory myopathies and neurodegenerative diseases, such as Parkinson's disease, were excluded. A snowball approach was used to synthesize the presumed cellular pathways of identified peptides.

resultsA total of 126 studies were included: 71 (56.3%) focused on a single muscle wasting component (48 on mass, 16 on strength and 7 on performance), 31 (24.6%) examined two, 16 (12.7%) analysed all three separately, and 8 (6.3%) assessed sarcopenia as a categorical variable. Eighty-seven distinct peptides linked to muscle wasting were identified, ranging from collagen tripeptide (3 amino acids) to insulin (51 amino acids). The most studied peptides are ghrelin (14.3%), brain natriuretic peptide (BNP, 11.1%), C-peptide (11.1%), insulin (10.3%) and Szeto-Schiller 31 (SS-31, 6.3%). Most (62.1%) influence one or more of four key muscle homeostasis pathways (PI3K/Akt/mTOR, ActR/SMAD, IKK/NF-κB and AMPK/PGC1α), which regulate atrophy (via FOXO, NF-κB, SMAD2/3, glucocorticoid receptor and GSK-3β) and hypertrophy (via androgen receptors, PGC-1α and S6K). Flaws in study design and reporting were prevalent, hindering clinical translation. Sex bias was evident, with females comprising 23.9% of participants in human interventional studies and only 9.1% and 12.4% of mice and rats in rodent studies, respectively. Clinical, pre-analytical and analytical reporting gaps were common: 56.6% documented diurnal timing, food intake and activity around peptide collection; none specified storage-to-analysis duration; and only 11.5% reported detection limits for peptide measurements.

conclusionThis scoping review highlights the potential of peptides as biomarkers and intervention targets for muscle wasting. It connects the cellular receptors and signaling pathways linking peptides with skeletal muscle wasting. Improving clinical translation requires addressing study design limitations, incorporating more representative study populations and adhering to standardized reporting guidelines. The application of machine learning can support the identification of novel bioactive peptides.

Indexed as

Muscle, SkeletalMuscular AtrophyPeptidesAnimalsBiomarkersHumansBiomarkersPeptidescachexiamuscle wastingpeptidessarcopenia

Identifiers

PMID41231146
PMCPMC12613835

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.