ArticleFrontiers in microbiology2023
Exploring the causal effects of the gut microbiome on serum lipid levels: A two-sample Mendelian randomization analysis.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 30 citations in OpenAlex.
- Rapid Remodeling of the Human Gut Microbiome in Response to Short-Term Animal Product Restriction and Associations with Host Molecular Phenotypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Cognitive Improvement and Microbiota-Gut-Brain Axis Regulation byMicroorganisms · 2026Article
- Marine MicroalgaMarine drugs · 2026Article
- High-fat diet-driven gut microbial sphingolipid metabolic reprogramming is associated with stress susceptibility in CUMS rats.Frontiers in microbiology · 2026Article
- Article
- Mendelian randomization combined with real-world study reveals that Streptococcus anginosus exacerbates dietary triglyceride metabolism disorders in obese mice.World journal of microbiology & biotechnology · 2025Article
- CCL20 mediates the effect of cathepsin S on hepatocellular carcinoma development insights from Mendelian randomization and bioinformatics analysis.Discover oncology · 2025Article
- Post-weaning diarrhea caused by F18Microbiome research reports · 2025Review
- Prognostic value of gut microbiota and low-density lipoprotein cholesterol subfractions in patients with ST-segment elevation myocardial infarction.Frontiers in immunology · 2025Article
- Review
- Effects of inactivated Lactobacillus rhamnosus on growth performance, serum indicators, and colonic microbiota and metabolism of weaned piglets.BMC veterinary research · 2024Article
- The Gut Microbiome Affects Atherosclerosis by Regulating Reverse Cholesterol Transport.Journal of cardiovascular translational research · 2024Review
- Unveiling the connection between gut microbiome and metabolic health in individuals with chronic spinal cord injury.Physiological genomics · 2024Article
- Causal relationships between gut microbiome and obstructive sleep apnea: a bi-directional Mendelian randomization.Frontiers in microbiology · 2024Article
- Causal associations of genetically predicted gut microbiota and blood metabolites with inflammatory states and risk of infections: a Mendelian randomization analysis.Frontiers in microbiology · 2024Article
- Causal association between gut microbiomes and different types of aneurysms: a Mendelian randomization study.Frontiers in microbiology · 2024Article
- Fecal Microbiome Analysis Distinguishes Bacterial Taxa Biomarkers Associated with Red Fillet Color in Rainbow Trout.Microorganisms · 2023Article
- Variations in the Relative Abundance of Gut Bacteria Correlate with Lipid Profiles in Healthy Adults.Microorganisms · 2023Article
- Associations between the Genetic Heritability of Dyslipidemia and Dietary Patterns in Korean Adults Based on Sex Differences.Nutrients · 2023Article
- Multi-Omics Analysis Reveals Age-Related Microbial and Metabolite Alterations in Non-Human Primates.Microorganisms · 2023Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The gut microbiome was reported to be associated with dyslipidemia in previous observational studies. However, whether the composition of the gut microbiome has a causal effect on serum lipid levels remains unclear. Objective: A two-sample Mendelian randomization (MR) analysis was conducted to investigate the potential causal relationships between gut microbial taxa and serum lipid levels, including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and log-transformed triglyceride (TG) levels. Materials and methods: Summary statistics of genome-wide association studies (GWASs) for the gut microbiome and four blood lipid traits were obtained from public datasets. Five recognized MR methods were applied to assess the causal estimates, among which, the inverse-variance weighted (IVW) regression was used as the primary MR method. A series of sensitivity analyses were performed to test the robustness of the causal estimates. Results: The combined results from the five MR methods and sensitivity analysis showed 59 suggestive causal associations and four significant causal associations. In particular, genus Conclusion: This research may provide novel insights into the causal relationships of the gut microbiome on serum lipid levels and new therapeutic or prevention strategies for dyslipidemia.
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