Evidence mapPaperPMID 41754175Full record

ArticleNutrients2026

Metagenomics and Machine Learning Identify TMA-Producing

Zhuo Wang, Jiaying Wei, Zixin Huang, Xiang Liu, Shanshan Li, Zhengfeng Fang, Liang Hu, Ran Li, Lisi Tao, Cheng Li and 1 more

Abstract read
In one paragraph

Article in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhuo WangCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Jiaying WeiCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Zixin HuangCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Xiang LiuCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Shanshan LiCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Zhengfeng FangCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Liang HuCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Ran LiCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.ORCID 0000-0001-7123-1939
Lisi TaoCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Cheng LiCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.
Hong ChenCollege of Food Science, Sichuan Agricultural University, Yaan 625014, China.ORCID 0000-0003-3605-6551

Funding

National Key Research and Development Program of China 2024YFD2101003Sichuan Province Central Leading Local Science and Technology Development Special Project 2023ZYD0129
6 · The paper itself

Abstract

backgroundHigh-fat diet-induced metabolic disorders are associated with trimethylamine (TMA)/trimethylamine

methodsA total of 48 7-week-old male C57BL/6J mice were subjected to one-week acclimatization feeding, and then randomly divided into four groups (12 mice per group) to establish a 2 × 2 factorial design animal experiment: the control group (CON, basal diet), the choline-supplemented control group (CON + C, basal diet supplemented with 1% choline), the high-fat diet group (HF, high-fat diet), and the high-fat plus choline group (HF + C, high-fat diet supplemented with 1% choline). The experiment lasted for 9 weeks, during which dynamic monitoring of TMAO levels in mice was performed in the first 4 weeks. At the ninth week, the mice were sacrificed and samples were collected for subsequent assays, including the concentrations of TMA and TMAO in serum, colonic contents and feces; the pathological morphology of liver tissue, adipocyte staining characteristics and serum biochemical parameters; and the expression levels of key genes and proteins in liver, small intestine and colon tissues. Meanwhile, metagenomic analysis was conducted on colonic contents, combined with machine learning to predict the correlation between gut microbiota and TMA. In addition, gene cloning, multiple sequence alignment, molecular simulation and in vitro culture experiments were carried out to verify the TMA-producing function of the target strain.

resultsThis study elucidated that high-fat diet and high choline exert a significant interaction in TMA/TMAO production through a 2 × 2 animal experiment; meanwhile, the significantly increased TMA/TMAO levels co-induced by the two factors further exacerbate metabolic disorders. Notably, through combined metagenomics and machine learning, we identified

conclusionsWe uncovered a two-factor synergistic effect of a high-fat/choline diet on TMA/TMAO, and for the first time identified the genus

Indexed as

CholineDiet, High-FatMachine LearningMetagenomicsMethylaminesObesitySerratiaAnimalsFecesGastrointestinal MicrobiomeLiverMaleMiceMice, Inbred C57BLCholineMethylaminestrimethylaminetrimethyloxaminehigh-fat dietmachine learningmetagenomicsobesitySerratia marcescenTMAO

Identifiers

PMID41754175
PMCPMC12942900

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