Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women.

By M. Collado, E. Isolauri, K. Laitinen, S. Salminen. American Journal of Clinical Nutrition, 2008

849 citations recorded by the source corpus.

Subfields: Biological Psychiatry, Infectious Diseases, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5d9d2b0a1d315cd22b776c12d01b75e80dd0b24f

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Citations in the corpus

Host remodeling of the gut microbiome and metabolic changes during pregnancy. (2012, methodology): “In the gut, bacterial load is reported to increase over the course of gestation (Collado et al., 2008), but a comprehensive view of how microbial diversity changes over the course of normal pregnancy is lacking.”
Temporal and spatial variation of the human microbiota during pregnancy (2015, background): “Two studies of the fecal microbiota reported differences in bacterial community structure between the first and third trimesters (23, 24); in each study, however, samples were collected at only two time points.”
Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans. (2011, background): “There are conflictingdata concerning the linkbetween thegutmicrobiota and adiposity in humans (19, 20, 22, 30, 31), and inmice, forwhich reports have either shown that the absence of a microbiota does protect or does not protect against diet-induced obesity (11, 32).”
The human milk microbiome changes over lactation and is shaped by maternal weight and mode of delivery. (2012, methodology): “Quantitative polymerase chain reaction (qPCR)(5) and specific bacterial group analyses were conducted as previously described (12, 13).”
The core gut microbiome, energy balance and obesity (2009, methodology): “However, a FISH-based study of obese adults on 2 month-long diets and a FISH/qPCR-based study of pregnant overweight and lean women failed to show consistent phylum-level differences in community structure (Collado et al. 2008; Duncan et al. 2008).”
Gut microbiota composition is associated with body weight, weight gain and biochemical parameters in pregnant women (2010, methodology): “Quantitative real-time PCR was used to characterise the microbiota by using specific primers targeting different bacterial groups and the SYBR Green PCR Master Mix (SuperArray Bioscience Corporation, Frederick, MD, USA), as previously described((9,10)).”
The infant microbiome development: mom matters (2014, neutral): “An analysis of the aforementioned Finnish cohort found that women who were overweight or obese before pregnancy had higher counts of fecal Bacteroides and Staphylococcus aureus than normal-weight women in the third trimester of pregnancy, and that weight gain during pregnancy was positively associat”
The composition of the gut microbiota throughout life, with an emphasis on early life (2015, background): “Infants from women with normal weight gain over pregnancy show higher levels of bifidobacteria than women with excessive weight gain, suggesting the potential role of Bifidobacterium group on infant microbiota and weight development (189).”
The human gut microbiota: Metabolism and perspective in obesity (2018, background): “On the other hand, two studies associated the Bacteroidetes phylum with weight gain in pregnant women.(84,85) A cross-over study with 29 subjects did not find 312 A.”
Akkermansia muciniphila is a promising probiotic (2019, background): “In addition, A. muciniphila is reported to be present in human milk (Collado et al., 2008).”
The Role of Microbial Amino Acid Metabolism in Host Metabolism (2015, background): “Others even reported increases in species belonging to both Firmicutes and Bacteroidetes in overweight women [76].”
Intestinal microbiota in human health and disease: the impact of probiotics (2011, background): “Bifidobacterium, Clostridium histolyticum, C. Table 4 continued Study material Population Analytical methods Key findings References Faeces (2 time points) 31 Monozygotic twin pairs 23 Dizygotic twin pairs 46 Mothers of twin pairs Sanger sequencing (16S) 454 FLX titanium sequencing (metagenome) Most”