Do probiotics effectively ameliorate glycemic control during gestational diabetes? A systematic review.

BACKGROUND: Gestational diabetes mellitus (GDM) is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. The aim of this work was to systematically review all studies in which probiotic supplements were used during pregnancy and analyse the effects on GDM. METHODS: The data were collected using the medical subheading (MeSH) terms: ("diabetes, gestational"[MeSH Terms] OR ("diabetes"[All Fields] AND "gestational"[All Fields]) OR "gestational diabetes"[All Fields] OR ("gestational"[All Fields] AND "diabetes"[All Fields])) AND ("probiotics"[MeSH Terms] OR "probiotics"[All Fields]). The search included original articles written in English/Portuguese and published between 2012 and 2017. RESULTS: Of the 31 articles identified, seven met the inclusion criteria and were included in this review. In these studies, the sample size ranged from 60 to 373 women with GDM, which was between 24 and 40 weeks of pregnancy (second and third trimesters). Results demonstrated that probiotics used during pregnancy in women with GDM may improve glycaemic control and reduce VDL cholesterol, triglycerides, and inflammatory markers. CONCLUSIONS: The present systematic review highlights the importance of probiotics for glycemic control and decrease of inflammatory markers in GDM. Further long-term studies should be conducted to elucidate this interaction.

Maternal dietary patterns during pregnancy and intelligence quotients in the offspring at 8 years of age: Findings from the ALSPAC cohort.

Dietary intake during pregnancy may influence child neurodevelopment and cognitive function. This study aims to investigate the associations between dietary patterns obtained in pregnancy and intelligence quotients (IQ) among offspring at 8 years of age. Pregnant women enrolled in the Avon Longitudinal Study of Parents and Children completed a food frequency questionnaire at 32 weeks' gestation (n = 12,195). Dietary patterns were obtained by cluster analysis. Three clusters best described women's diets during pregnancy: "fruit and vegetables," "meat and potatoes," and "white bread and coffee." The offspring's IQ at 8 years of age was assessed using the Wechsler Intelligence Scale for Children. Models, using variables correlated to IQ data, were performed to impute missing values. Linear regression models were employed to investigate associations between the maternal clusters and IQ in childhood. Children of women who were classified in the meat and potatoes cluster and white bread and coffee cluster during pregnancy had lower average verbal (ß = -1.74; p < .001 and ß = -3.05; p < .001), performance (ß = -1.26; p = .011 and ß = -1.75; p < .001), and full-scale IQ (ß = -1.74; p < .001 and ß = -2.79; p < .001) at 8 years of age when compared to children of mothers in the fruit and vegetables cluster in imputed models of IQ and all confounders, after adjustment for a wide range of known confounders including maternal education. The pregnant women who were classified in the fruit and vegetables cluster had offspring with higher average IQ compared with offspring of mothers in the meat and potatoes cluster and white bread and coffee cluster.