Deciphering the causal effects of plasma metabolomics and lipids on breast cancer risk: a Mendelian randomization analysis

Lingyao Zhou, Yangwen Du, Kumar Ganesan, Sitong Xian, Caiyue Lin, Hongbing Liu, Jianhua Chen, Chen Lin, Jianping Chen · 2025

Read Deciphering the causal effects of plasma metabolomics and lipids on breast cancer risk: a Mendelian randomization analysis by Lingyao Zhou, Yangwen Du, Kumar Ganesan, Sitong Xian, Caiyue Lin, Hongbing Liu, Jianhua Chen, Chen Lin, Jianping Chen (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13221510.txt.

Description

Lingyao Zhou and co-authors published a research paper in 2025 using genetic instruments to test whether blood metabolites and fats actually cause breast cancer, rather than merely travel with it. The method, Mendelian randomization, borrows nature's random gene shuffling to mimic a trial. Data came from large genome studies of diet tastes, blood chemistry, and breast cancer subtypes.

Several tastes and metabolites showed causal links to risk, differing by hormone-receptor subtype. One pathway stood out: liking curry seemed to lower risk through a membrane fat, while liking tomato raised risk through a vitamin-linked ratio. Reverse checks and mediation analysis probed direction and mechanism. The authors say metabolic pathways may offer prevention targets.

Catalog record

CREATORLingyao Zhou, Yangwen Du, Kumar Ganesan, Sitong Xian, Caiyue Lin, Hongbing Liu, Jianhua Chen, Chen Lin, Jianping Chen
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE58 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13221510

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