Evidence map›Paper›PMID 41969279›Full record

ArticleObesity science & practice2026

The Human Monoacylglycerol Acyltransferase 2 Inhibitor VB-85387 Is Associated With Weight Loss in Mice With Obesity.

J Jose Corbalan, Pranavi Jagadeesan, Chia-Yu Huang, James R Beasley, Joseph T Nickels

Abstract read
In one paragraph

Article in Obesity science & practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

J Jose CorbalanThe Institute of Metabolic Disorders Genesis Research and Development Institute Hamilton New Jersey USA.
Pranavi JagadeesanThe Institute of Metabolic Disorders Genesis Research and Development Institute Hamilton New Jersey USA.
Chia-Yu HuangVenenum Biodesign LLC Genesis Biotechnology Group Hamilton New Jersey USA.
James R BeasleyVenenum Biodesign LLC Genesis Biotechnology Group Hamilton New Jersey USA.
Joseph T NickelsThe Institute of Metabolic Disorders Genesis Research and Development Institute Hamilton New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: GLP-1 therapies for obesity are limited by side effects and weight regain is common after treatment ends. Therefore, alternative treatments with new mechanisms are needed for sustained weight loss. Human MOGAT2 regulates triglyceride metabolism and its inhibition reduces weight in people with obesity, making MOGAT2 a promising target for obesity therapy. Objective: This study evaluated the therapeutic potential of the VB-85387 MOGAT2 inhibitor for weight loss. Methods: High throughput screening was used to identify human MOGAT2 inhibitors. Diet-induced mice with obesity were treated with VB-85387 for 7 days. Body weight, food intake, blood and liver lipid and hormone levels were assessed. Glucose tolerance and insulin sensitivity were evaluated via oral glucose tolerance and hyperinsulaemic-euglycaemic clamp tests. Gene expression of PPARα and SREBP target genes was measured using Results: High throughput screening identified VB-85387 as a highly potent and selective human MOGAT2 inhibitor. Mice with obesity treated with VB-85387 experienced weight loss, reduced food intake, improved glucose tolerance, and enhanced insulin sensitivity. Treatment decreased liver triglyceride levels and increased GLP-1 concentrations. Conclusion: VB-85387 serves as a starting point for medicinal chemistry lead optimization. Weight loss may be attributed to PPARα activation and a sustained elevation in GLP-1 levels.

Indexed as

lipidsmonoacylglycerol acyltransferasenutritionobesityweight loss

Identifiers

PMID41969279
PMCPMC13066718

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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.