Evidence mapPaperPMID 40951273Full record

ArticleResearch square2025

Baseline metabolomic profile as potential biomarker for weight change after Roux-en-Y gastric bypass (RYGB) surgery.

Vidhu Thaker, Wanjun Gu, Shuliang Deng, Nicholas Stylopoulos, Clary Clish, Joel Hirschhorn, Rany Salem

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In one paragraph

Article in Research square, 2025. 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
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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

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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

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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

7 authors.

Vidhu ThakerColumbia University Irving Medical Center.ORCID https://orcid.org/0000-0002-3537-2782
Wanjun GuUniversity of California at San Francisco.
Shuliang DengBeth Israel Deaconess Medical Center.
Nicholas StylopoulosBoston Children's Hospital.
Clary ClishBroad Institute of Harvard and MIT.ORCID https://orcid.org/0000-0001-8259-9245
Joel HirschhornBoston Children's Hospital.
Rany SalemUniversity of California at San Diego.

Funding

Genetic investigations of cardiometabolic disease: pleiotropy, gene x environment and causal inference analysesR01DK136796 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$699k
Metabolomic predictors of insulin resistance and diabetesR01DK081572 · BETH ISRAEL DEACONESS MEDICAL CENTER · 2025 to 2025
$649k
Defining the pathways of cardiometabolic health after weight lossR01DK136134 · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$637k
Genomic, gene-environment and casual inference studies in diabetic complicationsR01DK135868 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$540k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195N01HC025195 · TRUSTEES OF BOSTON UNIVERSITY · 2002 to 2005
NHLBI NIH HHS K99 HL122515NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R00 HL122515NIDDK NIH HHS R01 DK081572NIDDK NIH HHS R01 DK135868NIDDK NIH HHS R01 DK136134NIDDK NIH HHS R01 DK136796
6 · The paper itself

Abstract

Metabolic and bariatric surgery (MBS) is the most effective intervention for sustained weight loss and cardiometabolic improvement in individuals with severe obesity. However, long-term outcomes vary, with many patients experiencing weight regain. The biological determinants of this variability remain incompletely understood. Given the integrative nature of the metabolome-capturing interactions among host genetics, diet, microbiota, and environmental exposures-we hypothesized that baseline circulating metabolites could stratify individuals into distinct long-term weight trajectory groups. We profiled untargeted fasting plasma metabolites in a nested case-control study within the Longitudinal Assessment of Bariatric Surgery (LABS-2) cohort. From these metabolites, a 13-metabolite risk score (MetRS) predictive of weight regain five years after Roux-en-Y gastric bypass was derived. The MetRS, which captures pathways including fatty acid oxidation, bile acid conjugation, and microbial-host co-metabolism, outperformed clinical variables in predicting long-term weight outcomes. Its performance was evaluated in two independent cohorts, including one assessed a median of seven years post-surgery. Genomic analyses identified common variants in loci including AGXT2 and SLC7A5 associated with key MetRS metabolites, suggesting a heritable component to the observed metabolic signature. Together, these findings lay the groundwork for a clinically actionable framework to identify individuals at risk for weight recidivism and support the integration of metabolic profiling into preoperative assessment for personalized obesity care.

Identifiers

PMID40951273
PMCPMC12425095

What Socratic holds

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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 Socratic graph.