ArticleFrontiers in pediatrics2023
Mendelian randomization analyses support causal relationship between gut microbiota and childhood obesity.
Article in Frontiers in pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Identification of 1,400 metabolites as mediators of obesity in 473 gut microbiota taxa: a mediation Mendelian randomization study.Microbiology spectrum · 2025Article
- Transcriptome combined with Mendelian randomization to identify key genes related to polyamine metabolism in childhood obesity and elucidate their molecular regulatory mechanisms.Scientific reports · 2025Article
- Advances in Mendelian Randomization Studies of Obesity Over the Past Decade: Uncovering Key Genetic Mechanisms.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Review
- Rumen microbiome and fat deposition in sheep: insights from a bidirectional mendelian randomization study.NPJ biofilms and microbiomes · 2024Article
- Gut microbiota-metabolite interactions meditate the effect of dietary patterns on precocious puberty.iScience · 2024Article
- Research trends between childhood obesity and gut microbiota: a bibliometric analysis (2002-2023).Frontiers in microbiology · 2024Review
- Unraveling the mystery: a Mendelian randomized exploration of gut microbiota and different types of obesity.Frontiers in cellular and infection microbiology · 2024Article
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Authors and funding
5 authors.
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Abstract
Background: Childhood obesity (CO) is an increasing public health issue. Mounting evidence has shown that gut microbiota (GM) is closely related to CO. However, the causal association needs to be treated with caution due to confounding factors and reverse causation. Methods: Data were obtained from the Microbiome Genome Consortium for GM as well as the Early Growth Genetics Consortium for childhood obesity and childhood body mass index (CBMI). Inverse variance weighted, maximum likelihood, weighted median, and MR.RAPS methods were applied to examine the causal association. Then replication dataset was used to validate the results and reverse Mendelian randomization analysis was performed to confirm the causal direction. Additionally, sensitivity analyses including Cochran's Results: Our study found suggestive causal relationships between eight bacterial genera and the risk of childhood obesity (five for CO and four for CBMI). After validating the results in the replication dataset, we finally identified three childhood obesity-related GM including the genera Conclusions: In this study, we employed the MR approach to investigate the causal relationship between GM and CO, and discovered that the genus
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