ArticleJournal of translational medicine2025
Fat-brain axis indicated by mutual impacts between body fat and brain phenotypes.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- A phenome-wide hunt for risk factors of Alzheimer's disease: from metabolic clues to neuroimaging evidence.Journal of translational medicine · 2026Article
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Authors and funding
7 authors.
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Abstract
backgroundAdipose tissue and the central nervous system regulate each other, but the interactions between body fat composition and brain health remain unclear.
methodsTo investigate this, we conducted Mendelian randomization (MR) analyses to explore the causality between body fat composition, brain volume, intelligence, cognitive performance (CP), and 19 neuropsychiatric diseases using six body fat measures. We performed cross-trait meta-analysis and colocalization analysis for body mass index (BMI) with Alzheimer’s disease (AD) and Parkinson’s disease (PD).
resultsOur findings show that higher body fat composition is associated with smaller grey matter volume, reduced intelligence and CP, increased risks of 10 neuropsychiatric diseases, and decreased risks of others. Additionally, certain brain diseases exert causal effects on body fat. We identified a novel AMDP1-containing genomic locus shared between BMI and PD. Adenosine signaling was highlighted as a cross-talking pathway with opposing effects on PD and BMI-related phenotypes.
conclusionsThese results highlight the bidirectional fat-brain axis and suggest the need for disease-specific weight management strategies.
trial registrationNot applicable.
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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.