Evidence mapPaperPMID 42360622Full record

ReviewCurrent atherosclerosis reports2026

Overview of Novel Mechanisms in Obesity Pharmacotherapy and Implications for Cardiovascular Disease: A Narrative Review.

Michael Bonafede, Aditi Rao, Beverly G Tchang

Abstract readReview
In one paragraph

Review in Current atherosclerosis reports, 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

3 authors.

Michael BonafedeComprehensive Weight Control Center, Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine, New York, NY, 10021, USA.
Aditi RaoComprehensive Weight Control Center, Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine, New York, NY, 10021, USA.
Beverly G TchangComprehensive Weight Control Center, Division of Endocrinology, Diabetes and Metabolism, Weill Cornell Medicine, New York, NY, 10021, USA. bgt9001@med.cornell.edu.ORCID http://orcid.org/0000-0002-2955-8089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWhile nutrient-stimulated hormone (NuSH) therapies (e.g., glucagon-like pepide-1 receptor agonists and dual/triple agonists) have transformed the landscape of obesity pharmacotherapy, the next generation of medications may target body composition optimization or other cardiovascular benefits. This review examines novel obesity mechanisms outside of the NuSH class. RECENT

findingsUnique mechanisms for obesity treatment include peripherally restricted cannabinoid-1 receptor antagonism, myostatin/activin inhibitors, selective androgen receptor modulators, melanocortin-4 receptor agonism, mitochondrial modulation, thyroid receptor agonists, and fibroblast growth factor analogues. By targeting fat distribution, muscle preservation, inflammatory/oxidative stress pathways, lipid metabolism, and energy expenditure, these agents may improve both the magnitude and quality of weight loss. Early evidence suggests complementary roles alongside NuSH-based therapies for induction, augmentation, and maintenance strategies. Several non-NuSH agents have demonstrated potential in preclinical and early clinical studies to optimize body composition, but additional studies are required to prove large-scale, long-term safety and efficacy.

Indexed as

Anti-Obesity AgentsCardiovascular DiseasesObesityAnimalsEnergy MetabolismHumansWeight LossAnti-Obesity AgentsCB1 receptorGLP-1Myostatin inhibitorNon-GLP-1Obesity medicationSelective androgen receptor modulators

Identifiers

PMID42360622
PMCPMC13309487

What Socratic holds

Textmetadata
LicenceCC BY
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.