Evidence map›Paper›PMID 41148476›Full record

ArticleWorld journal of microbiology & biotechnology2025

Mendelian randomization combined with real-world study reveals that Streptococcus anginosus exacerbates dietary triglyceride metabolism disorders in obese mice.

Xian-Long Shu, Jia-Ling Xie, Xi Li, Guo Wang, Jie Tang

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Article in World journal of microbiology & biotechnology, 2025. 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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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xian-Long ShuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, P. R. China.
Jia-Ling XieDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, P. R. China.
Xi LiDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, P. R. China.
Guo WangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, P. R. China. 207082@csu.edu.cn.
Jie TangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, P. R. China. jietang@csu.edu.cn.

Funding

National Natural Scientific Foundation of China 81403018National Natural Scientific Foundation of China 81673516Natural Science Foundation of Hunan Province 2015JJ3169Natural Science Foundation of Hunan Province 2021JJ31099
6 · The paper itself

Abstract

Mendelian Randomization (MR) analysis can link the host gut microbiome to cardiovascular diseases. Streptococcus anginosus (S. anginosus) has been found to be positively correlated with early atherosclerosis, but its role in lipid metabolism remains to be explored. To investigate the impact of S. anginosus on lipid metabolism, we employed M methods using large-scale population genome-wide association study (GWAS) sequencing data, combined with a C57BL/6J mouse obesity model to assess the role of S. anginosus in lipid metabolism. Throughout the entire experiment, we monitored the dynamic changes in serum blood lipids in mice and the abundance of S. anginosus in feces. We evaluated the accumulation of lipid droplets in the liver and adipose tissue, as well as examined the gene-level expression changes of lipid metabolism enzymes and transcription factors. The findings from MR analysis indicate that ten specific gut microbial taxa including Streptococcaceae exhibit a causal relationship with disorders of lipoprotein metabolism. Notably, Streptococcaceae has been identified as a risk factor for it. Furthermore, S. anginosus has been shown to elevate serum triglycerides (TG) levels, diminish the accumulation of lipid droplets in both hepatic and adipose tissues, and downregulate the gene expression of enzymes involved in TG synthesis and metabolism. These findings suggest that S. anginosus is a risk factor for lipoprotein disorders and reduces dietary lipid metabolism in a mouse obesity model, leading to TG metabolism dysfunction. This study combines bioinformatics analysis and animal experiments to provide new insights into S. anginosus as a risk factor for lipid metabolism disorders.

Indexed as

ObesityStreptococcus anginosusTriglyceridesAdipose TissueAnimalsDisease Models, AnimalFecesGastrointestinal MicrobiomeGenome-Wide Association StudyLipid MetabolismLiverMaleMendelian Randomization AnalysisMiceMice, Inbred C57BLMice, ObeseTriglyceridesDisorder of lipoprotein metabolismHyperlipidemiaLipoprotein lipaseMendelian randomizationStreptococcus anginosusTriglycerides metabolism

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Registered trials

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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 OpenQuestion graph.