ArticleDiabetes, obesity & metabolism2025
Neurobeachin (NBEA) is a novel gene associated with GLP-1 receptor agonist associated weight loss.
Article in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Phenotypic and genomic frameworks for precision pharmacotherapy in obesity: a narrative review.Frontiers in medicine · 2026Review
- Neurobeachin (NBEA) is a novel gene associated with GLP-1 receptor agonist associated weight loss.Diabetes, obesity & metabolism · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
aimsNearly 42% of adults in the United States have obesity, a significant risk factor for many cardiometabolic diseases and cancers. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are promising interventions for weight loss, but their efficacy varies significantly across individuals. This study investigates the role of neurobeachin (NBEA), a gene that encodes a protein kinase A anchor protein, on weight loss response in two large, real-world cohorts. MATERIALS AND
methodsWe utilised data from individuals prescribed a GLP-1RA in the NIH All of Us (N = 6556) and validated in the UK Biobank (N = 241). The NBEA genetic score for weight loss (12-18 months) was developed using the NIH All of Us cohort and independently validated in the UK Biobank. Logistic regression modelled associations between the score and outcomes, including high responsiveness (top 20th percentile for weight loss) and non-responsiveness (weight change ≥0%).
resultsIndividuals meeting the responsive NBEA score threshold were 82% more likely to be highly responsive (FDR p = 1·8 × 10
conclusionThese findings indicate that NBEA genetic variation is predictive of GLP-1RA weight loss and may support future efforts to identify individuals likely to experience significant weight loss with GLP-1RAs, enabling personalised obesity treatment strategies.
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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.