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Artificial intelligence-enabled clinical phenotyping of human brown fat.
Nature · · Journal Article
Gómez-Banoy, Barrero + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Artificial intelligence-enabled analysis reveals that higher brown adipose tissue activity is linked to lower prevalence of cardiometabolic and psychiatric diseases in humans.
- Why it matters: Understanding the full health impact of brown adipose tissue (BAT) is limited by the lack of high-throughput methods to quantify its activity, hindering potential therapeutic strategies.
- What they did: The study used big data from 101,243 patients and machine learning to semi-automatically quantify BAT activity in about 8,700 individuals, examining its associations with various health parameters and medication use.
- The result: Higher BAT activity correlates with better glycaemic, lipid, inflammatory, and cardiac indices, and the angiotensin receptor blocker losartan was shown to increase brown adipocyte activity, suggesting potential for drug repurposing.
The findingWhy it mattersWhat they didThe result