ArticleCardiovascular diabetology2024
Mendelian randomization analysis reveals causal effects of blood lipidome on gestational diabetes mellitus.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Causal role of genetically predicted impairment of branched-chain amino acid catabolism on insulin secretion and insulin resistance in type 2 diabetes.Diabetes, obesity & metabolism · 2026Pooled it
- Lipidomic signatures in gestational diabetes mellitus and postpartum type 2 diabetes mellitus: a narrative review of etiologic and predictive implications.EBioMedicine · 2026Review
- Association between blood lipids, BMI and gestational diabetes mellitus in early pregnancy: a clinical study and Mendelian randomization.Frontiers in endocrinology · 2026Article
- Associations Between Gestational Diabetes Mellitus and Neonatal Acyl Metabolic Profiles: An Empirical Study Based on a Birth Cohort.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Article
- Metabolic pathways mediating insulin resistance and gestational diabetes mellitus discovered by high-dimensional systematic Mendelian randomization.Cardiovascular diabetology · 2025Article
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8 authors.
Funding
Abstract
backgroundObservational studies have revealed associations between maternal lipid metabolites and gestational diabetes mellitus (GDM). However, whether these associations are causal remain uncertain.
objectiveTo evaluate the causal relationship between lipid metabolites and GDM.
methodsA two-sample Mendelian randomization (MR) analysis was performed based on summary statistics. Sensitivity analyses, validation analyses and reverse MR analyses were conducted to assess the robustness of the MR results. Additionally, a phenome-wide MR (Phe-MR) analysis was performed to evaluate potential side effects of the targeted lipid metabolites.
resultsA total of 295 lipid metabolites were included in this study, 29 of them had three or more instrumental variables (IVs) suitable for sensitivity analyses. The ratio of triglycerides to phosphoglycerides (TG_by_PG) was identified as a potential causal biomarker for GDM (inverse variance weighted (IVW) estimate: odds ratio (OR) = 2.147, 95% confidential interval (95% CI) 1.415-3.257, P = 3.26e-4), which was confirmed by validation and reverse MR results. Two other lipid metabolites, palmitoyl sphingomyelin (d18:1/16:0) (PSM(d18:1/16:0)) (IVW estimate: OR = 0.747, 95% CI 0.583-0.956, P = 0.021) and triglycerides in very small very low-density lipoprotein (XS_VLDL_TG) (IVW estimate: OR = 2.948, 95% CI 1.197-5.215, P = 0.015), were identified as suggestive potential biomarkers for GDM using a conventional cut-off P-value of 0.05. Phe-MR results indicated that lowering TG_by_PG had detrimental effects on two diseases but advantageous effects on the other 13 diseases.
conclusionGenetically predicted elevated TG_by_PG are causally associated with an increased risk of GDM. Side-effect profiles indicate that TG_by_PG might be a target for GDM prevention, though caution is advised due to potential adverse effects on other conditions.
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