Publications by authors named "Chouaib Benchraka"

Breast milk proteome comprises hundreds of bioactive proteins supporting infant development. The extent to which maternal metabolic conditions modify the proteome is poorly known. This study investigates proteome evolution from colostrum to mature milk and examines the impacts of maternal gestational diabetes mellitus (GDM) and BMI on the proteome.

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The associations of gut microbiota with depressive and anxiety symptoms have been investigated mainly in non-pregnant humans, and currently there is a significant gap in research on pregnant women, especially those who are living with overweight and thus at a higher risk for experiencing perinatal mental health problems. In this study, we used shotgun metagenomic sequencing to analyze the gut microbiota of pregnant women with overweight and obesity, both in early and late pregnancy. We compared gut microbial diversity, composition, and function across groups with different trajectories of depressive (n=419) and anxiety (n=408) symptoms.

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Background And Aim: Gut microbiota may regulate metabolism but is incompletely characterized in pregnancy. Our objective was to investigate the relations using omics techniques.

Methods And Results: In a cross-sectional setting, fecal and serum samples of 361 healthy pregnant women with overweight or obesity were analyzed with a combinatorial approach of metagenomics and targeted NMR-based metabolomics, with statistical and machine learning techniques to identify and analyze the extent to which the gut microbiota composition and predicted functions would be reflected in the serum metabolome.

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Article Synopsis
  • - The study investigated how changes in gut microbiota might influence the risk of future hospitalization due to infections in two large groups from the Netherlands and Finland, focusing on individuals aged 18-74.
  • - Researchers used 16S rRNA gene sequencing to analyze gut microbiota from participants' fecal samples and looked for links between microbiota characteristics (like diversity and butyrate-producing bacteria) and infection-related health outcomes over a follow-up period of 5-7 years.
  • - The results included data from 10,699 participants, revealing potential relationships between certain microbiota profiles and increased susceptibility to severe infections, although further clarification on these interactions in humans is needed.
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Aims: Deep metagenomics offers an advanced tool for examining the relationship between gut microbiota composition and function and the onset of disease; in this case, does the composition and function of gut microbiota during pregnancy differ in women who develop prediabetes and those who do not at two-year postpartum, and whether the gut microbiota composition associates with glycemic traits.

Methods: In total, 439 women were recruited in early pregnancy. Gut microbiota was assessed by metagenomics analysis in early (13.

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Introduction: Aberrations in circulating metabolites have been associated with diabetes and cardiovascular risk.

Objectives: To investigate if early and late pregnancy serum metabolomic profiles differ in women who develop prediabetes by two years postpartum compared to those who remain normoglycemic.

Methods: An NMR metabolomics platform was used to measure 228 serum metabolite variables from women with pre-pregnancy overweight in early and late pregnancy.

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