Myoinositols Prevent Gestational Diabetes Mellitus and Related Complications: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Greff D, Váncsa S, Váradi A, Szinte J, Park S, Hegyi P, Nyirády P, Ács N, Horváth EM, Várbíró S

Published September 30, 2023 Nutrients
DOI 10.3390/nu15194224 PMID 37836508 PMC PMC10574514

RRM Academy Synopsis

Myoinositol cuts gestational diabetes risk in high-risk pregnancy

A meta-analysis of eight randomized trials in high-risk pregnancies found that inositol started in the first trimester halved gestational diabetes (risk ratio 0.42). The 1357 women took inositol or a placebo. Myoinositol also lowered insulin need, preterm birth and newborn low blood sugar.

Key Findings

  • Inositol versus placebo, started at the 12th to 13th gestational week: gestational diabetes risk ratio 0.42 (CI: 0.26–0.67), from 1357 pregnant women.
  • Seven trials tested myoinositol alone: risk ratio 0.3 (CI: 0.18–0.48). The myoinositol plus D-chiro-inositol combination showed no benefit: risk ratio 0.89 (CI: 0.44–1.79).
  • Inositol arms had lower risk of needing insulin (RR = 0.45, CI: 0.28–0.73) and of preeclampsia or pregnancy-induced hypertensive disorders (RR = 0.39 CI: 0.22–0.69).
  • Inositol lowered preterm birth risk (RR = 0.41, CI: 0.22–0.75). Myoinositol lowered neonatal hypoglycemia (RR = 0.12, CI: 0.03–0.55). Inositol did not change cesarean birth, birth weight or intensive care admission.
  • Evidence quality ran from very low to moderate across outcomes. The authors rated it high for preterm birth only.

Interpretation

The authors pooled eight randomized controlled trials. All participants had a high risk of gestational diabetes, such as overweight, a family history of diabetes or raised early glucose, so the results describe high-risk pregnancies. The authors read the findings as showing that inositol started in the first trimester can prevent gestational diabetes, with the myoinositol trials carrying the effect and the myoinositol plus D-chiro-inositol combination not. They list the small number of trials and patients as a limitation.

RRM Context

Inositols have also been studied in PCOS, also called PMOS (Polyendocrine Metabolic Ovarian Syndrome). Insulin resistance drives much of that condition. This review takes the idea into pregnancy. RRM treats metabolic health as part of preparing for pregnancy.

Abstract

Although gestational diabetes mellitus (GDM) has several short- and long-term adverse effects on the mother and the offspring, no medicine is generally prescribed to prevent GDM. The present systematic review and meta-analysis aimed to investigate the effect of inositol supplementation in preventing GDM and related outcomes. Systematic search was performed in CENTRAL, MEDLINE, and Embase until 13 September 2023. Eligible randomized controlled trials (RCTs) compared the efficacy of inositols to placebo in pregnant women at high risk for GDM. Our primary outcome was the incidence of GDM, whereas secondary outcomes were oral glucose tolerance test (OGTT) and maternal and fetal complications. (PROSPERO registration number: CRD42021284939). Eight eligible RCTs were identified, including the data of 1795 patients. The incidence of GDM was halved by inositols compared to placebo (RR = 0.42, CI: 0.26-0.67). Fasting, 1-h, and 2-h OGTT glucose levels were significantly decreased by inositols. The stereoisomer myoinositol also reduced the risk of insulin need (RR = 0.29, CI: 0.13-0.68), preeclampsia or gestational hypertension (RR = 0.38, CI: 0.2-0.71), preterm birth (RR = 0.44, CI: 0.22-0.88), and neonatal hypoglycemia (RR = 0.12, CI: 0.03-0.55). Myoinositol decrease the incidence of GDM in pregnancies high-risk for GDM. Moreover, myoinositol supplementation reduces the risk of insulin need, preeclampsia or gestational hypertension, preterm birth, and neonatal hypoglycemia. Based on the present study 2-4 g myoinositol canbe suggested from the first trimester to prevent GDM and related outcomes.

By this author

Related research

Dorina Greff, Szilárd Váncsa, Alex Váradi, Julia Szinte, Sunjune Park, Péter Hegyi, Péter Nyirády, Szabolcs Várbíró
D Greff, S Váncsa, Alexander Váradi, Alexandra Váradi, A Váradi, J Szinte, S Park, P Hegyi, P Nyirády, S Várbíró
PMID 37836508 37836508 DOI 10.3390/nu15194224 10.3390/nu15194224 Greff et al. 2023, Greff 2023