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Potential Causal Association between Plasma Metabolites, Immunophenotypes, and Female Reproductive Disorders: A Two-Sample Mendelian Randomization Analysis. | LitMetric

AI Article Synopsis

  • The research aimed to explore the causal relationships between metabolism, immune cells, and various female reproductive diseases, finding key links between metabolites and reproductive health.
  • A comprehensive study used genetic data to analyze the impact of 486 metabolites and 731 immune cell types on 14 female reproductive disorders, with a focus on gestational diabetes and infertility.
  • Results showed that high mannose levels increase gestational diabetes risk, elevated CD28CD25CD8 T cell counts are linked to higher infertility risks, while more NKT cells help reduce ectopic pregnancy risk, suggesting potential biomarkers for further study.

Article Abstract

Background: While extensive research highlighted the involvement of metabolism and immune cells in female reproductive diseases, causality remains unestablished.

Methods: Instrumental variables for 486 circulating metabolites ( = 7824) and 731 immunophenotypes ( = 3757) were derived from a genome-wide association study (GWAS) meta-analysis. FinnGen contributed data on 14 female reproductive disorders. A bidirectional two-sample Mendelian randomization study was performed to determine the relationships between exposures and outcomes. The robustness of results, potential heterogeneity, and horizontal pleiotropy were examined through sensitivity analysis.

Results: High levels of mannose were found to be causally associated with increased risks of gestational diabetes (GDM) (OR [95% CI], 6.02 [2.85-12.73], = 2.55 × 10). A genetically predicted elevation in the relative count of circulating CD28CD25CD8 T cells was causally related to increased female infertility risk (OR [95% CI], 1.26 [1.14-1.40], = 1.07 × 10), whereas a high absolute count of NKT cells reduced the risk of ectopic pregnancy (OR [95% CI], 0.87 [0.82-0.93], = 5.94 × 10). These results remained consistent in sensitivity analyses.

Conclusions: Our study supports mannose as a promising GDM biomarker and intervention target by integrating metabolomics and genomics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10813709PMC
http://dx.doi.org/10.3390/biom14010116DOI Listing

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