Evidence map›Paper›PMID 39619672›Full record

ArticleFrontiers in genetics2024

Gut Microbiota's role in lipoma development: evidence from mendelian randomization.

Yuxin Li, Jiahao Chen, Hang Yao, Xiaogang Xu, Xianglong Zheng, Yu Wang, Wanchun Wang

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In one paragraph

Article in Frontiers in genetics, 2024. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yuxin Li *Graduate School of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Jiahao Chen *School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Hang Yao *School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, China.
Xiaogang XuGraduate School of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Xianglong ZhengGraduate School of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Yu WangGraduate School of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Wanchun WangGraduate School of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lipoma, a benign tumor derived from mesenchymal tissue, significantly affects patients' physical and psychological wellbeing. Increasing evidence points to a strong link between the gut microbiome (GM) and lipoma incidence. This study utilizes Mendelian Randomization (MR) to assess the potential causal relationships between the GM and lipoma development. Methods: We conducted a two-sample MR analysis using genome-wide association study (GWAS) data from MiBioGen and FinnGen to explore the causal relationship between GM and lipoma. The GM dataset included 18,340 participants with 14,587 single nucleotide polymorphisms (SNPs), while the lipoma dataset comprised 412,181 participants with 21,306,349 SNPs. We employed 5 MR methods: Inverse Variance Weighted (IVW), Weighted Median, Simple Mode, MR-Egger, and Weighted Mode. Additional assessments included Cochran's Q test for result heterogeneity, PRESSO analysis for horizontal pleiotropy, and sensitivity analyses through scatter plots, leave-one-out analyses, funnel plots, and forest plots. Results: The IVW method identified 18 gene predictors trans-genus associated with lipoma risk. Protective effects against benign lipoma (BL) were observed in the Eubacterium rectale group, Desulfovibrio, Ruminococcus1, Conclusion: Compared to malignant tumors, research on lipomas has been relatively limited. This study, through MR analysis, provided new evidence of a causal relationship between specific GM and the development of lipomas. Certain gut bacterial species may act as protective or harmful factors in lipoma formation, offering new avenues for future treatment strategies. However, additional research is required to unravel the complexity of how GM influences the pathogenesis of lipomas.

Indexed as

causal relationshipgut microbiotalipomamendelian randomization analysistumour microenvironments

Identifiers

PMID39619672
PMCPMC11604723

What Socratic holds

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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.