Evidence map›Paper›PMID 40452211›Full record

ArticleDiabetes & metabolism journal2025

Novel Insights into the Causal Relationship between Antidiabetic Drugs and Adverse Perinatal Outcomes: A Mendelian Randomization Study.

Chang Su, Xueqing He, Xiaona Chang, Juan Tian, Guang Wang, Jia Liu

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Article in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Chang SuDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xueqing HeDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Xiaona ChangDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Juan TianDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Guang WangDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Jia LiuDepartment of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Funding

Beijing Hospital Authority DFL20220302Beijing Natural Science Foundation L248018National Natural Science Foundation of China 82072527
6 · The paper itself

Abstract

backgruoundHyperglycemia during pregnancy increases the risk of adverse perinatal outcomes and birth defects. Evidence regarding the long-term safety of antidiabetic drugs during pregnancy is still lacking.

methodsA two-sample Mendelian randomization (MR) study was performed to assess the causal association between six antidiabetic drug targets (ABCC8, DPP4, INSR, GLP1R, PPARG, and SLC5A2) and seven adverse perinatal outcomes and five congenital malformation outcomes. Inverse variance weighted (IVW) was adopted as the main MR method, and sensitivity analysis using traditional MR methods was performed to evaluate the robustness of the results.

resultsWe observed strong evidence that sodium-glucose cotransporter 2 (SGLT2) inhibitors (odds ratio [OR], 0.084; 95% confidence interval [CI], 0.009 to 0.834; P=0.034) reduces the risk of preterm birth; genetic variation in sulfonylurea drug targets (OR, 0.015; 95% CI, 2.50E-04 to 0.919; P=0.045) and genetic variation in thiazolidinedione drug targets (OR, 0.007; 95% CI, 4.16E-04 to 0.121; P=0.001) reduced the risk of eclampsia/preeclampsia; glucagon-like peptide 1 (GLP-1) analogues target (β=-0.549; 95% CI, -0.958 to -0.140; P=0.009) was inversely associated with fetal birth weight; thiazolidinedione target was inversely associated with gestational age (β=-0.952; 95% CI, -1.785 to -0.118; P=0.025); SGLT2 inhibitors reduced the risk of cardiocirculatory malformations (OR, 0.001; 95% CI, 8.75E-06 to 0.126; P=0.005).

conclusionMost antidiabetic drugs are safe when used during the perinatal period. Of note, GLP-1 analogues may lead to a risk of low birth weight, while thiazolidinediones may lead to a reduction in fetal gestational age.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsPregnancy in DiabeticsFemaleHumansInfant, NewbornMendelian Randomization AnalysisPolymorphism, Single NucleotidePregnancyPregnancy OutcomePremature BirthHypoglycemic AgentsCongenital abnormalitiesHypoglycemic agentsMendelian randomization analysisPregnancyPremature birth

Identifiers

PMID40452211
PMCPMC12620689

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