The role of gut microbe-derived metabolites in the development of metabolic syndrome (MetS) remains unclear. This study aimed to evaluate the associations of gut microbe-derived metabolites and MetS traits in the cross-sectional Metabolic Syndrome In Men (METSIM) study. The sample included 10,194 randomly related men (age 57.65 ± 7.12 years) from Eastern Finland. Levels of 35 metabolites were tested for associations with 13 MetS traits using lasso and stepwise regression. Significant associations were observed between multiple MetS traits and 32 metabolites, three of which exhibited particularly robust associations. N-acetyltryptophan was positively associated with Homeostatic Model Assessment for Insulin Resistant (HOMA-IR) (β = 0.02, = 0.033), body mass index (BMI) (β = 0.025, = 1.3 × 10), low-density lipoprotein cholesterol (LDL-C) (β = 0.034, = 5.8 × 10), triglyceride (0.087, = 1.3 × 10), systolic (β = 0.012, = 2.5 × 10) and diastolic blood pressure (β = 0.011, = 3.4 × 10). In addition, 3-(4-hydroxyphenyl) lactate yielded the strongest positive associations among all metabolites, for example, with HOMA-IR (β = 0.23, = 4.4 × 10), and BMI (β = 0.097, = 5.1 × 10). By comparison, 3-aminoisobutyrate was inversely associated with HOMA-IR (β = -0.19, = 3.8 × 10) and triglycerides (β = -0.12, = 5.9 × 10). Mendelian randomization analyses did not provide evidence that the observed associations with these three metabolites represented causal relationships. We identified significant associations between several gut microbiota-derived metabolites and MetS traits, consistent with the notion that gut microbes influence metabolic homeostasis, beyond traditional risk factors.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10972019PMC
http://dx.doi.org/10.3390/metabo14030174DOI Listing

Publication Analysis

Top Keywords

mets traits
16
gut microbe-derived
12
microbe-derived metabolites
12
metabolic syndrome
12
mendelian randomization
8
metabolites
8
associations gut
8
metabolites mets
8
associations
7
gut
5

Similar Publications

metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.

PLoS Genet

January 2025

Génétique Quantitative et Evolution - Le Moulon, INRAE, CNRS, AgroParisTech, Université Paris-Saclay, Gif-sur-Yvette, France.

Elucidating the genetic components of plant genotype-by-environment interactions is of key importance in the context of increasing climatic instability, diversification of agricultural practices and pest pressure due to phytosanitary treatment limitations. The genotypic response to environmental stresses can be investigated through multi-environment trials (METs). However, genome-wide association studies (GWAS) of MET data are significantly more complex than that of single environments.

View Article and Find Full Text PDF

This study aims to elucidate the potential genetic commonalities between metabolic syndrome (MetS) and rheumatic diseases through a disease interactome network, according to publicly available large-scale genome-wide association studies (GWAS). The analysis included linkage disequilibrium score regression analysis, cross trait meta-analysis and colocalisation analysis to identify common genetic overlap. Using modular partitioning, the network-based association between the two disease proteins in the protein-protein interaction set was divided and quantified.

View Article and Find Full Text PDF

Relationship between bullous pemphigoid and metabolic syndrome and its relevant traits: a bidirectional two-sample Mendelian randomization study.

Arch Dermatol Res

January 2025

Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, No.1 Shuai Fu Yuan Street, Dong Cheng District, Beijing, 100730, China.

Article Synopsis
  • Bullous pemphigoid (BP) is a chronic autoimmune blistering disease primarily affecting older adults, while metabolic syndrome (MetS) encompasses various metabolic disorders.
  • Previous observational studies have suggested a link between BP and MetS, but the results are inconsistent due to potential biases from confounding factors like corticosteroid use or age.
  • This study utilized Mendelian randomization (MR) to explore the causal relationship between BP and MetS, using genetic data, and found no significant causal association between the two or their related traits.
View Article and Find Full Text PDF

The variability in genetic variance and covariance due to genotype × environment interaction (G×E) can hinder genotype selection accuracy, especially for complex traits. This study analyzed G×E interactions in cassava to identify stable, high-performing genotypes and predict agronomic performance in untested environments using factor analytic multiplicative mixed models (FAMM) within multi-environment trials (METs). We evaluated 22 cassava genotypes for fresh root yield (FRY), dry root yield (DRY), shoot yield (ShY), and dry matter content (DMC) across 55 Brazilian environments.

View Article and Find Full Text PDF
Article Synopsis
  • * In a sample of 382 Asian women planning to conceive, the research identifies a new liver fat cutoff of 2.07% for diagnosing MetS, with trends indicating worsened MetS traits and plasma metabolomic changes as liver fat increases.
  • * Results show that preconception liver fat levels significantly correlate with the risk of gestational diabetes, with moderate liver fat (2.07% to 5.56%) doubling and high liver fat (≥5.56%) increasing the risk seven
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!