Gut microbiome of mothers delivering prematurely shows reduced diversity and lower relative abundance of Bifidobacterium and Streptococcus

Dahl, Cecilie; Stanislawski, Maggie A.; Iszatt, Nina; Mandal, Siddhartha; Lozupone, Catherine; Clemente, José C.; Knight, Rob; Stigum, Hein; Eggesbø, Merete

doi:10.1371/journal.pone.0184336

Cited by 59 publications

(49 citation statements)

References 31 publications

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“…Experimental studies have shown that low diversity in the microbiome of pregnant women induces the expression of inflammatory markers when transplanted to germ‐free mice, suggesting that reduced diversity may lead to inflammation. Dahl et al analyzed the gut microbiota of 121 pregnant women using next‐generation sequencing and found that low diversity and altered gut microbial composition characterized by low Bifidobacterium and Streptococcus are associated with spontaneous PTB. These results might be related to the role of gut microbiome in host immunity and also in gestational health.…”

Section: Microbiome and Obstetric Disordersmentioning

confidence: 99%

Microbiome in normal and pathological pregnancies: A literature overview

Taddei

Cortez

Mattar

et al. 2018

American J Rep Immunol

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This review summarizes recent findings on the changes that occur during pregnancy in the composition of the vaginal and gut microbiome and their association with metabolic, hormonal, and immunological factors. Despite many studies on the topic, the vaginal and gut microbial profiles and their influence on the course of pregnancy are still unclear. We present data suggesting that, contrary to traditional understanding, the placenta is not sterile but has a microbial community. We review and discuss new findings on changes in the richness and diversity of the microbiota of pregnant women with term or preterm births, obesity, and gestational diabetes mellitus. Several factors influence the bacterial profile of these women and may explain, at least in part, some of the discrepant findings between studies. The development of and access to new molecular biology methods and techniques has expanded the possibilities of research. This will contribute to a better understanding of the microbiome and its role in normal and pathological pregnancies.

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Section: Microbiome and Obstetric Disordersmentioning

confidence: 99%

Microbiome in normal and pathological pregnancies: A literature overview

Taddei

Cortez

Mattar

et al. 2018

American J Rep Immunol

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“…Random Forest models have been applied to the microbiome eld to classify experimental groups based on the microbiome composition [36], to identify fecal contamination in environmental samples [53] and to identify taxa whose abundances were different in mothers delivering prematurely [54] . Altogether, these results indicate that the microbiome composition is affected by the feed at the individual ASV level.…”

Section: Discussionmentioning

confidence: 99%

Fecal and Ruminal Microbiome Components Associated With Methane Emission in Beef Cattle.

Andrade

Afli

Bressani

et al. 2020

Preprint

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Background: The impact of extreme changes in weather patterns in the economy and humanity welfare are some of the biggest challenges that our civilization is facing. From the anthropogenic activities that contribute to climate change, reducing the impact of farming activities is a priority, since its responsible for up to 18% of greenhouse gases linked to such activities. To this end, we tested if the ruminal and fecal microbiomes components of 52 Brazilian Nelore bulls, belonging to two experimental groups based on the feed intervention, conventional (A) and byproducts based diet (B), could be used as biomarkers for methane (CH4) emission.Results: We identified a total of 5,693 Amplicon Sequence Variants (ASVs) in the Nelore bulls microbiomes from the experimental group B. Statistical analysis showed that the microbiome populations were significantly different among treatment groups. Differential abundance (DA) analysis with the ANCOM approach identified 30 bacterial and 15 archaea ASVs as DA among treatment groups. Random forest models, using either bacteria or archaea ASVs as predictors, were able to predict the treatment group with high accuracy (r2>0.85). Association analysis using Mixed Linear Models indicate that bacterial and archaea ASVs are linked to the CH4 emission phenotype, of which the most prominent were the ruminal ASV 40 and fecal ASV 35. These ASVs contributed to a 9.7% increase and 7.3% decrease of the variation in CH4 emission, respectively, which indicated their potential as targets for feed interventions and/or biomarkers.Conclusion: The feed composition induced significant differences in abundance and richness of ruminal and fecal microbial populations. The dietary treatment based on industrial byproducts applied had an impact on the microbiome diversity of bacteria and archaea, but not on protozoa. Microbiome components (ASVs) of bacteria and archaea can be successfully used to predict the treatment group, thus giving support to the hypothesis that the feed intervention modulate microbiome abundance and diversity. Microbiome components were associated with CH4 emission in both microbiomes. Therefore, both ruminal and fecal ASVs can be used as biomarkers for methane production and emission.

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“…Shiozaki et al demonstrated that disturbance of intestinal microbiota would result in preterm delivery in a prospective and cross-sectional study [8]. Dahl et al provided further evidences for the impact of the low gut diversity and low relative abundance of bifidobacterium and streptococcus on sPTB [9]. The changes of gut microbiome diversity and evenness may alter bioactivation of nutrients and vitamins, normal physiology of host, and at same times, also affect immune system [25][26][27].…”

Section: Discussionmentioning

confidence: 99%

“…Recently, gut microbiota metabolites trimethylamine N-oxide (TMAO) has been received increasing attentions. The growing recognition of a contributory role of gut microbiota to health and disease promises that great efforts have devoted to define the cause-effect between gut microbiota and preterm birth [6][7][8][9]. Moreover, experimental and clinical studies have demonstration that TMAO synthesized by the intestinal microbiota is involved in the progression of atherosclerosis, cardiovascular disease, type 2 diabetes, vitamin D deficiency, chronic kidney disease, non-alcoholic fatty liver disease [10][11][12].…”

mentioning

confidence: 99%

Gut microbial-related metabolite trimethylamine-N-oxide and its precursor L-carnitine are associated with spontaneous preterm birth: a nested case-control study

Chen¹,

Liu²,

Chen³

et al. 2019

Preprint

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Background: Gut microbiota has been proven to disease susceptibility and may lead to increased risk of preterm birth. To date, the link of gut microbial-related metabolite trimethylamine-N-oxide (TMAO), L-carnitine, and betaine, with spontaneous preterm birth (sPTB) has not been established. This study aimed to investigate the association of TMAO, L-carnitine and betaine, with sPTB risk. Methods: A nested case-control study was designed including 129 sPTB cases and 258 controls based on Guangxi Birth Cohort Study. TMAO, L-carnitine, and betaine level in maternal serum were determined by liquid chromatography with mass spectrometry. Conditional logistic regression analyses were used to examine the association between maternal serum metabolites and sPTB. Stratified analyses were further conducted according to BMI and preterm prelabor rupture of membranes. Spline analyses were performed to explore the dose-response relationship between the metabolites and sPTB.Results: Statistically significant association with decreased sPTB risk was observed for the highest L-carnitine (OR: 0.47; 95% CI: 0.23, 0.95). In risk analyses stratified by BMI, similar results were observed in normal weight gravida (BMI: 18.5~23.9 kg/cm2). The significant subtype-specific association with TMAO (OR: 0.43; 95% CI: 0.20, 0.93) and L-carnitine (OR: 0.45; 95% CI: 0.21, 0.97) were observed for preterm labor but not PPROM. Spline regression analysis indicated non-linear associations with TMAO and sPTB risk (P for nonlinearity: 0.057). Significant associations of TMAO with sPTB were observed in normal weight gravida (P = 0.028) and preterm labor subtype (P = 0.025). No statistically significant associations with sPTB risk were observed for betaine (P > 0.05).Conclusions: TMAO and L-carnitine levels in maternal serum are inversely linked with sPTB risk. Discovery of the association between gut-microbiota initiated TMAO metabolism and sPTB may open new avenues for diagnose and therapy.

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Gut microbiome of mothers delivering prematurely shows reduced diversity and lower relative abundance of Bifidobacterium and Streptococcus

Cited by 59 publications

References 31 publications

Microbiome in normal and pathological pregnancies: A literature overview

Microbiome in normal and pathological pregnancies: A literature overview

Fecal and Ruminal Microbiome Components Associated With Methane Emission in Beef Cattle.

Gut microbial-related metabolite trimethylamine-N-oxide and its precursor L-carnitine are associated with spontaneous preterm birth: a nested case-control study

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