scholarly journals Dynamic alteration in the gut microbiota and metabolome during the pregnancy

2021 ◽  
Author(s):  
Peifeng Xie ◽  
Chengjun Hu ◽  
Qinghua He ◽  
Qian Zhu ◽  
Xiangfeng Kong
Keyword(s):  
Gut Microbiota ◽  
Metabolic Pathways ◽  
Late Pregnancy ◽  
Metabolite Profile ◽  
Microbiota Composition ◽  
Glutamate Metabolism ◽  
Fat Percentage ◽  
Rrna Sequencing ◽  
Dynamic Alteration ◽  
Gut Microbiota Composition

Abstract Background Gut microbiota and their metabolites were associated with obesity. Our previous study showed that maternal body fat percentage increased from days 45 to 110 of gestation in a Huanjiang mini-pig model. Thus, 16S rRNA sequencing and metabonomic techniques were used to investigate the changes of maternal gut microbiota composition and microbial metabolite profile from days 45 to 110 of gestation. Results The abundances of Clostridium_sensu_stricto_1, Romboutsia, Turicibacter, and Streptococcus in jejunum contents were higher in day 110 than those in day 45 or 75 of gestation. In ileum, the abundance of Streptococcus was the highest (P < 0.05) at day 110 of gestation, as well as the metabolism function of jejunal and ileal microbiota. The ileal butyrate and acetate concentrations were the highest at day 45 and day 110 of gestation, respectively. In colon, the concentrations of cadaverine and spermine were the highest (P < 0.05) at days 45 and 110 of gestation, respectively. Metabonomic analysis demonstrated that metabolic pathways including glutamine and glutamate metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and alanine, aspartate, and glutamate metabolism changed during gestation. Conclusions Microbiota composition and metabolites changed dramatically from the early to the late pregnancy, which might be associated with the maternal fat accumulation.

scholarly journals Ketonuria Is Associated with Changes to the Abundance of Roseburia in the Gut Microbiota of Overweight and Obese Women at 16 Weeks Gestation: A Cross-Sectional Observational Study

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1836 ◽  
Author(s):  
Helen Robinson ◽  
Helen Barrett ◽  
Luisa Gomez-Arango ◽  
H. David McIntyre ◽  
Leonie Callaway ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Pregnant Women ◽  
Clustering Analysis ◽  
Alpha Diversity ◽  
Microbiota Composition ◽  
Obese Women ◽  
Cross Sectional ◽  
Low Carbohydrate ◽  
Rrna Sequencing ◽  
Gut Microbiota Composition

The gut microbiome in pregnancy has been associated with various maternal metabolic and hormonal markers involved in glucose metabolism. Maternal ketones are of particular interest due to the rise in popularity of low-carbohydrate diets. We assessed for differences in the composition of the gut microbiota in pregnant women with and without ketonuria at 16 weeks gestation. Fecal samples were obtained from 11 women with fasting ketonuria and 11 matched controls. The samples were analyzed to assess for differences in gut microbiota composition by 16S rRNA sequencing. Supervised hierarchical clustering analysis showed significantly different beta-diversity between women with and without ketonuria, but no difference in the alpha-diversity. Group comparisons and network analysis showed that ketonuria was associated with an increased abundance of the butyrate-producing genus Roseburia. The bacteria that contributed the most to the differences in the composition of the gut microbiota included Roseburia, Methanobrevibacter, Uncl. RF39, and Dialister in women with ketonuria and Eggerthella, Phascolarctobacterium, Butyricimonas, and Uncl. Coriobacteriaceae in women without ketonuria. This study found that the genus Roseburia is more abundant in the gut microbiota of pregnant women with ketonuria. Roseburia is a butyrate producing bacterium and may increase serum ketone levels.

scholarly journals Effects of cat ownership on the gut microbiota of owners

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253133
Author(s):  
Guankui Du ◽  
Hairong Huang ◽  
Qiwei Zhu ◽  
Li Ying
Keyword(s):  
Gut Microbiota ◽  
Microbial Diversity ◽  
Metabolic Pathways ◽  
Normal Weight ◽  
Female Group ◽  
Microbiota Composition ◽  
Pet Ownership ◽  
Weight Group ◽  
And Function ◽  
Gut Microbiota Composition

Pet ownership is an essential environmental exposure that might influence the health of the owner. This study’s primary objectives were to explore the effects of cat ownership on the gut microbial diversity and composition of owners. Raw data from the American Gut Project were obtained from the SRA database. A total of 214 Caucasian individuals (111 female) with cats and 214 individuals (111 female) without cats were used in the following analysis. OTU number showed significant alteration in the Cat group and Female_cat group, compared with that of the no cat (NC) group and Female_ NC group, respectively. Compared with the NC group, the microbial phylum Proteobacteria was significantly decreased in the Cat group. The microbial families Alcaligenaceae and Pasteurellaceae were significantly reduced, while Enterobacteriaceae and Pseudomonadaceae were significantly increased in the Cat group. Fifty metabolic pathways were predicted to be significantly changed in the Cat group. Twenty-one and 13 metabolic pathways were predicted to be significantly changed in the female_cat and male_cat groups, respectively. Moreover, the microbial phylum Cyanobacteria was significantly decreased, while the families Alcaligenaceae, Pseudomonadaceae and Enterobacteriaceae were significantly changed in the normal weight cat group. In addition, 41 and 7 metabolic pathways were predicted to be significantly changed in the normal-weight cat and overweight cat groups, respectively. Therefore, this study demonstrated that cat ownership could influence owners’ gut microbiota composition and function, especially in the female group and normal-weight group.

Ganoderic acid A from Ganoderma lucidum ameliorates lipid metabolism and alters gut microbiota composition in hyperlipidemic mice fed a high-fat diet

2020 ◽  
Vol 11 (8) ◽  
pp. 6818-6833
Author(s):  
Wei-Ling Guo ◽  
Jian-Bin Guo ◽  
Bin-Yu Liu ◽  
Jin-Qiang Lu ◽  
Min Chen ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Gut Microbiota ◽  
High Fat Diet ◽  
Ganoderma Lucidum ◽  
Metabolite Profile ◽  
Microbiota Composition ◽  
High Fat ◽  
Ganoderic Acid ◽  
Gut Microbiota Composition

Ganoderic acid A from Ganoderma lucidum has the potential to prevent hyperlipidemia, modulates the composition of gut microbiota in hyperlipidemic mice, and significantly attenuates the liver metabolite profile in hyperlipidemic mice.

scholarly journals Modulation of Gut Microbiota Profile and Short-Chain Fatty Acids of Rats Fed with Taro Flour or Taro Starch

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ingrid S. Surono ◽  
Koen Venema
Keyword(s):  
Gut Microbiota ◽  
Corn Starch ◽  
Short Chain Fatty Acids ◽  
Diabetic Rats ◽  
Microbiota Composition ◽  
Taro Flour ◽  
Rrna Sequencing ◽  
Normal Chow ◽  
Induced Changes ◽  
Gut Microbiota Composition

To investigate the effect of flour and starch of the Indonesian native tuber “taro” on the composition and activity of the gut microbiota in diabetic rats, streptozotocin (STZ)-induced diabetic rats were fed normal chow (AIN), or AIN in which corn starch was replaced by either taro flour or purified taro starch for 4 weeks. Fecal samples were collected at baseline and after 4 weeks, and the composition of microbial communities was measured using 16S rRNA sequencing, while SCFAs were measured using ion chromatography. Bodyweight declined upon DM induction with STZ. Feeding taro starch led to a lower reduction in bodyweight than feeding taro starch, but this was only significant for taro starch in weeks 2, 3, and 4 (p=0.02, p=0.01, and p<0.01, respectively). Both taro starch and taro flour induced changes in the gut microbiota composition compared to AIN, which were different for taro flour and taro starch. Bifidobacterium, Sutterella, and Prevotella were markers for taro flour feeding, while Anaerostipes was a marker for taro starch feeding. Induction of diabetes also led to changes in the microbiota composition. Random Forest correctly predicted for 16 of 18 samples whether rats were diabetic or not and correctly predicted 6 of 12 microbiota samples belonging to either taro flour- or taro starch-fed groups, indicating also some significant overlap in the substrate, as expected. Taro starch and taro flour both led to a significant increase in the fecal concentrations of acetate, propionate, and butyrate.

scholarly journals Whole Grain Qingke Attenuates High-Fat Diet-Induced Obesity in Mice With Alterations in Gut Microbiota and Metabolite Profile

2021 ◽  
Vol 8 ◽  
Author(s):  
Xipu Li ◽  
Jingqi Suo ◽  
Xinguo Huang ◽  
Huifen Dai ◽  
Hongwu Bian ◽  
...  
Keyword(s):  
Acetic Acid ◽  
Gut Microbiota ◽  
High Fat Diet ◽  
Unsaturated Fatty Acids ◽  
Metabolite Profile ◽  
Lipid Lowering ◽  
Microbiota Composition ◽  
Whole Grain ◽  
High Fat ◽  
Gut Microbiota Composition

Whole grain Qingke (WGQK) displays anti-obesity and lipid-lowering properties; however, the underlying mechanism remains elusive. This study investigated the alteration of gut microbiota composition and metabolite profile induced by WGQK intervention in mice through the integration of 16S ribosomal RNA (rRNA) sequencing and an untargeted metabolomics study. C57BL/6J male mice were fed a normal control diet (NC), high-fat diet (HFD), and HFD plus 30% WGQK (HFD+QK) for 16 weeks. The WGQK intervention decreased body weight gain, glucose tolerance, and serum lipid levels, and alleviated liver function damage induced by HFD. Moreover, WGQK changed gut microbiota composition and enriched specific genera such as Akkermansia, Bifidobacterium, and Lactobacillus. Fecal metabolomics analysis indicated that WGQK enhanced the abundance of tryptophan metabolism-related metabolites (indole, 3-indoleacetic acid, indole acetic acid (IAA), 5-hydroxyindole-3-acetic acid), histidine metabolism-related metabolites (histamine), and some unsaturated fatty acids (oleic acid, 9,10-dihydroxy-12Z-octadecenoic acid, and alpha-linolenic acid). Spearman correlation analysis revealed that these metabolites were negatively correlated with obesity-related parameters and positively correlated with the gut genera enriched by WGQK. Moreover, WGQK promoted the expression of Cholesterol 7α-hydroxylase (CYP7A1) responsible for primary bile acids production, accompanied by a decline in intestinal FXR-FGF15 expression levels. The transcript levels of two genes associated with lipogenesis, such as lipid fatty acid synthase (FAS) and acetyl-CoA carboxylase (ACC) were also decreased in the HFD+QK group. Overall, our results suggest interactions between gut microbial shifts and host amino acid/lipid metabolism, and shed light on the mechanisms underlying the anti-obesity effect of WGQK.

scholarly journals DIETARY FACTORS AFFECTING FIRMICUTES AND BACTEROIDETES RATIO IN SOLVING OBESITY PROBLEM: A LITERATURE REVIEW

2020 ◽  
Vol 15 (2) ◽  
pp. 94 ◽  
Author(s):  
Deandra Ardya Sutoyo ◽  
Dominikus Raditya Atmaka ◽  
Lisandra Maria G. B. Sidabutar
Keyword(s):  
Gut Microbiota ◽  
Bioactive Compounds ◽  
Metabolic Pathways ◽  
Dietary Factors ◽  
Microbiota Composition ◽  
Polyphenol Compounds ◽  
Factors Affecting ◽  
Literature Searches ◽  
Gut Microbiota Composition

Obesity is caused by several factors. Gut microbiota composition is known to be one of the factors to play a role in modulating the obesity process. Nutrient factors and bioactive compounds from food can infl uence and help in modifying the gut microbiota composition, especially Firmicutes and Bacteroidetes. The purpose of this article is to discuss how signifi cant the role of nutrients and other bioactive compounds on Firmicutes and Bacteroidetes ratio in solving the obesity problem. This article was compiled based on the literature search in the last ten years, related to nutrients and bioactive compounds infl uence Firmicutes/Bacteroidetes ratio in obesity. The results from several literature searches provided evidence that alteration in gut microbiota composition was linked to the increase of body weight through metabolic pathways, which was characterized by the increasing number of Firmicutes, the decreased number of Bacteroidetes, and an increase in Firmicutes/Bacteroidetes ratio. The increasing number of Firmicutes could induce short-chain fatty acid (SCFA) production and lead to more energy harvesting. Several dietary factors from fi ber and amino acid, as well as bioactive compounds from an organic acid and polyphenol compounds, could infl uence the gut microbiota composition by reducing the Firmicutes level and increasing Bacteroidetes. The gut microbiota composition, especially Firmicutes and Bacteroidetes, could be induced by modifying diet enriched with fi ber, polyphenol compounds, and other specifi ed nutrients

scholarly journals Alterations in Gut Glutamate Metabolism Associated with Changes in Gut Microbiota Composition in Children with Autism Spectrum Disorder

mSystems ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. e00321-18 ◽  
Author(s):  
Mingbang Wang ◽  
Jing Wan ◽  
Han Rong ◽  
Fusheng He ◽  
Hui Wang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Autism Spectrum ◽  
Metagenomic Sequencing ◽  
Microbiota Composition ◽  
Glutamate Metabolism ◽  
Content Type ◽  
Children With Asd ◽  
Shotgun Metagenomic Sequencing ◽  
Potential Biomarker ◽  
Gut Microbiota Composition

ABSTRACT Changes in the gut microenvironment may influence the pathogenesis of autism spectrum disorders (ASD). Here, we investigated the composition of the gut microbiota and metabolites in children with ASD. Ninety-two children with ASD and 42 age-matched children exhibiting typical development (TD) were enrolled in the two-stage study. In the discovery stage, shotgun metagenomic sequencing and liquid chromatography-mass spectrometry (LC-MS) were performed simultaneously on fecal samples obtained from 43 children in the ASD group and 31 children in the TD group. Systematic bioinformatic analyses were performed to identify gut metabolites associated with altered gut microbiota composition. At the validation stage, differential metabolites were tested using LC-MS with an additional 49 and 11 children in the ASD and TD groups, respectively. Altered glutamate metabolites were found in the ASD group, along with a decline in 2-keto-glutaramic acid and an abundance of microbiota associated with glutamate metabolism. These changes in glutamate metabolism were correlated with lower levels of the highly abundant bacteria Bacteroides vulgatus and higher levels of the potentially harmful Eggerthella lenta and Clostridium botulinum. Lower gut cortisol levels have also been identified in the ASD group and associated with changes in gut microbiota glutamate metabolism. Finally, gut 2-keto-glutaramic acid was validated as a potential biomarker for ASD. The significant changes in the gut microenvironment in children with ASD may provide new insight into the cause of ASD and aid in the search for diagnostic and therapeutic approaches. IMPORTANCE Multiple lines of evidence suggest that the gut microbiota may play an important role in the pathogenesis of ASD, but the specific mechanism is still unclear. Through a comprehensive gut metagenomic and metabolome study of children with ASD, alterations in gut metabolite composition were found in children with ASD, and these alterations were linked to changes in gut microbiota composition. This may give us a deeper understanding of the role of gut microbiota in the pathogenesis of ASD.

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