Evidence map›Paper›PMID 42701941›Full record

ReviewHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2026

Lean Mass Reduction During Glucagon-like Peptide-1 Receptor Agonists-Induced Weight Loss: Rethinking Its Clinical Significance.

Federica Moscucci, Giuliano Tocci, Giulia Nardoianni, Carmine Savoia, Vincenzo Contino, Gaetano Leo, Raffaella Bocale, Giovambattista Desideri, Francesco Baratta

Abstract readReview
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In one paragraph

Review in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 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

9 authors.

Federica MoscucciGeriatric Unit, AOU Policlinico Umberto I, DAI of Internal Medicine and Medical Specialties, 00161, Rome, Italy.
Giuliano TocciDivision of Cardiology, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University of Rome, 00189, Rome, Italy.
Giulia NardoianniDivision of Cardiology, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University of Rome, 00189, Rome, Italy.
Carmine SavoiaDepartment of Clinical and Molecular Medicine, Faculty of Medicine and Psychology, Sapienza University of Rome, 00189, Rome, Italy.
Vincenzo ContinoGeriatric Unit, AOU Policlinico Umberto I, DAI of Internal Medicine and Medical Specialties, 00161, Rome, Italy.
Gaetano LeoGeriatric Unit, AOU Policlinico Umberto I, DAI of Internal Medicine and Medical Specialties, 00161, Rome, Italy.
Raffaella BocaleDepartment of Translational Medicine and Surgery, Section of Endocrinology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168, Rome, Italy.
Giovambattista DesideriGeriatric Unit, AOU Policlinico Umberto I, DAI of Internal Medicine and Medical Specialties, 00161, Rome, Italy. giovambattista.desideri@uniroma1.it.ORCID http://orcid.org/0000-0002-0145-1271
Francesco BarattaGeriatric Unit, AOU Policlinico Umberto I, DAI of Internal Medicine and Medical Specialties, 00161, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The substantial weight loss achieved with glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dual incretin agonists has transformed the management of obesity and cardiometabolic risk. However, the accompanying reduction in lean mass has raised concerns regarding potential sarcopenia and impaired physical function, particularly in older adults. These concerns have become increasingly relevant as incretin-based therapies assume a central role in cardiovascular prevention. Importantly, reductions in lean mass measured by dual-energy X-ray absorptiometry and other body-composition techniques do not necessarily reflect deterioration in muscle quality, strength, or functional capacity. We propose that a substantial proportion of the observed decline in lean mass represents a physiological adaptation to the reduced mechanical loading associated with marked weight loss. Obesity imposes chronic biomechanical overload on weight-bearing musculature, promoting compensatory increases in muscle mass. Conversely, successful weight reduction lowers mechanical demands and may induce adaptive remodeling of antigravity muscles toward a new equilibrium appropriate for a lighter body. This interpretation is supported by established principles of unloading physiology derived from studies of immobilization, bed rest, and microgravity, as well as by emerging concepts linking body-weight sensing to musculoskeletal adaptation. We present a conceptual framework in which energy deficit, improvements in tissue composition, and mechanical unloading act as complementary contributors to lean mass reduction during GLP-1 RAs therapy. We also propose testable predictions that may help distinguish adaptive remodeling from pathological muscle loss (Fig. 1). From a cardiovascular prevention perspective, the key question may not be whether lean mass decreases during successful obesity treatment, but whether these changes impair physical function or diminish the substantial cardiometabolic benefits of weight reduction. Recognizing mechanical unloading as an underappreciated explanatory framework for interpreting lean mass loss during incretin-based therapy may improve risk-benefit assessment and redirect attention toward clinically meaningful outcomes, including muscle strength, physical performance, mobility, and cardiovascular health.

Indexed as

Cardiovascular preventionGLP-1 receptor agonistsLean massMechanical loadingMuscle functionObesity

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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.