scholarly journals Alterations of gut microbiota in gestational diabetes patients during the second trimester of pregnancy in the Shanghai Han population

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yao Su ◽  
Hong-Kun Wang ◽  
Xu-Pei Gan ◽  
Li Chen ◽  
Yan-Nan Cao ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Sugar Metabolism ◽  
16S Rrna Gene Sequencing ◽  
Amino Sugar ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Second Trimester ◽  
Metabolic Hormone

Abstract Background The causes of gestational diabetes mellitus (GDM) are still unclear. Recent studies have found that the imbalance of the gut microbiome could lead to disorders of human metabolism and immune system, resulting in GDM. This study aims to reveal the different gut compositions between GDM and normoglycemic pregnant women and find the relationship between gut microbiota and GDM. Methods Fecal microbiota profiles from women with GDM (n = 21) and normoglycemic women (n = 32) were assessed by 16S rRNA gene sequencing. Fasting metabolic hormone concentrations were measured using multiplex ELISA. Results Metabolic hormone levels, microbiome profiles, and inferred functional characteristics differed between women with GDM and healthy women. Additionally, four phyla and seven genera levels have different correlations with plasma glucose and insulin levels. Corynebacteriales (order), Nocardiaceae (family), Desulfovibrionaceae (family), Rhodococcus (genus), and Bacteroidetes (phylum) may be the taxonomic biomarkers of GDM. Microbial gene functions related to amino sugar and nucleotide sugar metabolism were found to be enriched in patients with GDM. Conclusion Our study indicated that dysbiosis of the gut microbiome exists in patients with GDM in the second trimester of pregnancy, and gut microbiota might be a potential diagnostic biomarker for the diagnosis, prevention, and treatment of GDM.

scholarly journals Insight Into the Potential Value of Gut Microbial Signatures for Prediction of Gestational Anemia

2021 ◽  
Vol 11 ◽  
Author(s):  
Hongcheng Wei ◽  
Siting Deng ◽  
Yufeng Qin ◽  
Xu Yang ◽  
Ting Chen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Pregnant Women ◽  
Predictive Value ◽  
16S Rrna Gene Sequencing ◽  
Well Being ◽  
Rrna Gene ◽  
Second Trimester ◽  
Healthy Control ◽  
Rrna Gene Sequencing ◽  
Validation Set

The gut microbiota alternations are associated with gestational anemia (GA); however, limited predictive value for the subsequent incidence of anemia in normal gestational women has been obtained. We sought to rigorously characterise gut dysbiosis in subjects with GA and explored the potential predictive value of novel microbial signatures for the risk of developing GA. A prospective cohort of subjects with GA (n = 156) and healthy control (n = 402), all of whom were free of GA in the second trimester, by 16S rRNA gene sequencing was conducted. Microbial signatures altered dramatically in GA compared with healthy control in the second trimester. Megamonas, Veillonella, and Haemophilus were confirmed to show differential abundances in GA after adjusting for covariates. On the contrary, Lachnospiraceae and Blautia were enriched in control. Microbial co-abundance group (CAG) network was constructed. Prospectively, CAG network relatively accurately predicted upcoming GA in normal pregnant women with an AUC of 0.7738 (95%CI: 0.7171, 0.8306) and the performance was further validated in Validation set (0.8223, 95%CI: 0.7573, 0.8874). Overall, our study demonstrated that alterations in the gut microbial community were associated with anemia in pregnancy and microbial signatures could accurately predict the subsequent incidence of anemia in normal pregnant women. Our findings provided new insights into understanding the role of gut microbiota in GA, identifying high-risk individuals, and modulating gut microbiota as a therapeutic target, thus improving quality of life and well-being of women and children.

scholarly journals Integrative analysis of the gut microbiome and metabolome in a rat model with stress induced irritable bowel syndrome

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yue Hu ◽  
Fang Chen ◽  
Haiyong Ye ◽  
Bin Lu
Keyword(s):  
Irritable Bowel Syndrome ◽  
Gut Microbiota ◽  
Rat Model ◽  
Gut Microbiome ◽  
16S Rrna Gene Sequencing ◽  
Metabolic Phenotype ◽  
Control Group ◽  
Rrna Gene ◽  
Microbial Dysbiosis ◽  
Irritable Bowel

AbstractStress is one of the major causes of irritable bowel syndrome (IBS), which is well-known for perturbing the microbiome and exacerbating IBS-associated symptoms. However, changes in the gut microbiome and metabolome in response to colorectal distention (CRD), combined with restraint stress (RS) administration, remains unclear. In this study, CRD and RS stress were used to construct an IBS rat model. The 16S rRNA gene sequencing was used to characterize the microbiota in ileocecal contents. UHPLC-QTOF-MS/MS assay was used to characterize the metabolome of gut microbiota. As a result, significant gut microbial dysbiosis was observed in stress-induced IBS rats, with the obvious enrichment of three and depletion of 11 bacterial taxa in IBS rats, when compared with those in the control group (q < 0.05). Meanwhile, distinct changes in the fecal metabolic phenotype of stress-induced IBS rats were also found, including five increased and 19 decreased metabolites. Furthermore, phenylalanine, tyrosine and tryptophan biosynthesis were the main metabolic pathways induced by IBS stress. Moreover, the altered gut microbiota had a strong correlation with the changes in metabolism of stress-induced IBS rats. Prevotella bacteria are correlated with the metabolism of 1-Naphthol and Arg.Thr. In conclusion, the gut microbiome, metabolome and their interaction were altered. This may be critical for the development of stress-induced IBS.

scholarly journals Nuciferine modulates the gut microbiota and prevents obesity in high-fat diet-fed rats

2020 ◽  
Vol 52 (12) ◽  
pp. 1959-1975
Author(s):  
Yu Wang ◽  
Weifan Yao ◽  
Bo Li ◽  
Shiyun Qian ◽  
Binbin Wei ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Gut Microbiota ◽  
Relative Abundance ◽  
Metabolic Diseases ◽  
Intestinal Barrier ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Low Grade ◽  
Rrna Gene Sequencing

AbstractGut microbiota dysbiosis has a significant role in the pathogenesis of metabolic diseases, including obesity. Nuciferine (NUC) is a main bioactive component in the lotus leaf that has been used as food in China since ancient times. Here, we examined whether the anti-obesity effects of NUC are related to modulations in the gut microbiota. Using an obese rat model fed a HFD for 8 weeks, we show that NUC supplementation of HFD rats prevents weight gain, reduces fat accumulation, and ameliorates lipid metabolic disorders. Furthermore, 16S rRNA gene sequencing of the fecal microbiota suggested that NUC changed the diversity and composition of the gut microbiota in HFD-fed rats. In particular, NUC decreased the ratio of the phyla Firmicutes/Bacteroidetes, the relative abundance of the LPS-producing genus Desulfovibrio and bacteria involved in lipid metabolism, whereas it increased the relative abundance of SCFA-producing bacteria in HFD-fed rats. Predicted functional analysis of microbial communities showed that NUC modified genes involved in LPS biosynthesis and lipid metabolism. In addition, serum metabolomics analysis revealed that NUC effectively improved HFD-induced disorders of endogenous metabolism, especially lipid metabolism. Notably, NUC promoted SCFA production and enhanced intestinal integrity, leading to lower blood endotoxemia to reduce inflammation in HFD-fed rats. Together, the anti-obesity effects of NUC may be related to modulations in the composition and potential function of gut microbiota, improvement in intestinal barrier integrity and prevention of chronic low-grade inflammation. This research may provide support for the application of NUC in the prevention and treatment of obesity.

scholarly journals Effect of Selected Stilbenoids on Human Fecal Microbiota

Molecules ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 744 ◽  
Author(s):  
Jose Jaimes ◽  
Veronika Jarosova ◽  
Ondrej Vesely ◽  
Chahrazed Mekadim ◽  
Jakub Mrazek ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Relative Abundance ◽  
Statistical Tests ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Genus Clostridium ◽  
The Family ◽  
Rrna Gene Sequencing

Dietary phenolics or polyphenols are mostly metabolized by the human gut microbiota. These metabolites appear to confer the beneficial health effects attributed to phenolics. Microbial composition affects the type of metabolites produced. Reciprocally, phenolics modulate microbial composition. Understanding this relationship could be used to positively impact health by phenolic supplementation and thus create favorable colonic conditions. This study explored the effect of six stilbenoids (batatasin III, oxyresveratrol, piceatannol, pinostilbene, resveratrol, thunalbene) on the gut microbiota composition. Stilbenoids were anaerobically fermented with fecal bacteria from four donors, samples were collected at 0 and 24 h, and effects on the microbiota were assessed by 16S rRNA gene sequencing. Statistical tests identified affected microbes at three taxonomic levels. Observed microbial composition modulation by stilbenoids included a decrease in the Firmicutes to Bacteroidetes ratio, a decrease in the relative abundance of strains from the genus Clostridium, and effects on the family Lachnospiraceae. A frequently observed effect was a further decrease of the relative abundance when compared to the control. An opposite effect to the control was observed for Faecalibacterium prausnitzii, whose relative abundance increased. Observed effects were more frequently attributed to resveratrol and piceatannol, followed by thunalbene and batatasin III.

scholarly journals Comparative Analysis of Fecal Microbiota Composition Between Rheumatoid Arthritis and Osteoarthritis Patients

Genes ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 748 ◽  
Author(s):  
Jin-Young Lee ◽  
Mohamed Mannaa ◽  
Yunkyung Kim ◽  
Jehun Kim ◽  
Geun-Tae Kim ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Bacterial Species ◽  
Amplicon Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Stool Samples ◽  
Gut Microbiota Composition

The aim of this study was to investigate differences between the gut microbiota composition in patients with rheumatoid arthritis (RA) and those with osteoarthritis (OA). Stool samples from nine RA patients and nine OA patients were collected, and DNA was extracted. The gut microbiome was assessed using 16S rRNA gene amplicon sequencing. The structures and differences in the gut microbiome between RA and OA were analyzed. The analysis of diversity revealed no differences in the complexity of samples. The RA group had a lower Bacteroidetes: Firmicutes ratio than did the OA group. Lactobacilli and Prevotella, particularly Prevotella copri, were more abundant in the RA than in the OA group, although these differences were not statistically significant. The relative abundance of Bacteroides and Bifidobacterium was lower in the RA group. At the species level, the abundance of certain bacterial species was significantly lower in the RA group, such as Fusicatenibacter saccharivorans, Dialister invisus, Clostridium leptum, Ruthenibacterium lactatiformans, Anaerotruncus colihominis, Bacteroides faecichinchillae, Harryflintia acetispora, Bacteroides acidifaciens, and Christensenella minuta. The microbial properties of the gut differed between RA and OA patients, and the RA dysbiosis revealed results similar to those of other autoimmune diseases, suggesting that a specific gut microbiota pattern is related to autoimmunity.

scholarly journals Colonization of Supplemented Bifidobacterium breve M-16V in Low Birth Weight Infants and Its Effects on Their Gut Microbiota Weeks Post-administration

2021 ◽  
Vol 12 ◽  
Author(s):  
Ayako Horigome ◽  
Ken Hisata ◽  
Toshitaka Odamaki ◽  
Noriyuki Iwabuchi ◽  
Jin-zhong Xiao ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gut Microbiota ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Control Group ◽  
Rrna Gene ◽  
Low Birth Weight Infants ◽  
Fecal Samples ◽  
Bifidobacterium Breve

The colonization and persistence of probiotics introduced into the adult human gut appears to be limited. It is uncertain, however, whether probiotics can successfully colonize the intestinal tracts of full-term and premature infants. In this study, we investigated the colonization and the effect of oral supplementation with Bifidobacterium breve M-16V on the gut microbiota of low birth weight (LBW) infants. A total of 22 LBW infants (12 infants in the M-16V group and 10 infants in the control group) were enrolled. B. breve M-16V was administrated to LBW infants in the M-16V group from birth until hospital discharge. Fecal samples were collected from each subject at weeks (3.7–9.3 weeks in the M-16V group and 2.1–6.1 weeks in the control group) after discharge. qPCR analysis showed that the administrated strain was detected in 83.3% of fecal samples in the M-16V group (at log10 8.33 ± 0.99 cell numbers per gram of wet feces), suggesting that this strain colonized most of the infants beyond several weeks post-administration. Fecal microbiota analysis by 16S rRNA gene sequencing showed that the abundance of Actinobacteria was significantly higher (P &lt; 0.01), whereas that of Proteobacteria was significantly lower (P &lt; 0.001) in the M-16V group as compared with the control group. Notably, the levels of the administrated strain and indigenous Bifidobacterium bacteria were both significantly higher in the M-16V group than in the control group. Our findings suggest that oral administration of B. breve M-16V led to engraftment for at least several weeks post-administration and we observed a potential overall improvement in microbiota formation in the LBW infants’ guts.

scholarly journals Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

2021 ◽  
Vol 11 ◽  
Author(s):  
Yi-Jing Jia ◽  
Ying Liao ◽  
Yong-Qiao He ◽  
Mei-Qi Zheng ◽  
Xia-Ting Tong ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Chinese Population ◽  
Sugar Metabolism ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Amino Sugar ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Haemophilus Parainfluenzae ◽  
Rrna Gene Sequencing

The oral microbiota has been observed to be influenced by cigarette smoking and linked to several human diseases. However, research on the effect of cigarette smoking on the oral microbiota has not been systematically conducted in the Chinese population. We profiled the oral microbiota of 316 healthy subjects in the Chinese population by 16S rRNA gene sequencing. The alpha diversity of oral microbiota was different between never smokers and smokers (P = 0.002). Several bacterial taxa were first reported to be associated with cigarette smoking by LEfSe analysis, including Moryella (q = 1.56E-04), Bulleidia (q = 1.65E-06), and Moraxella (q = 3.52E-02) at the genus level and Rothia dentocariosa (q = 1.55E-02), Prevotella melaninogenica (q = 8.48E-08), Prevotella pallens (q = 4.13E-03), Bulleidia moorei (q = 1.79E-06), Rothia aeria (q = 3.83E-06), Actinobacillus parahaemolyticus (q = 2.28E-04), and Haemophilus parainfluenzae (q = 4.82E-02) at the species level. Two nitrite-producing bacteria that can increase the acidity of the oral cavity, Actinomyces and Veillonella, were also enriched in smokers with FDR-adjusted q-values of 3.62E-06 and 1.10E-06, respectively. Notably, we observed that two acid production-related pathways, amino acid-related enzymes (q = 6.19E-05) and amino sugar and nucleotide sugar metabolism (q = 2.63E-06), were increased in smokers by PICRUSt analysis. Finally, the co-occurrence analysis demonstrated that smoker-enriched bacteria were significantly positively associated with each other and were negatively correlated with the bacteria decreased in smokers. Our results suggested that cigarette smoking may affect oral health by creating a different environment by altering bacterial abundance, connections among oral microbiota, and the microbiota and their metabolic function.

scholarly journals Essential hypertension is associated with changes in gut microbial metabolic pathways: A multi-site analysis of ambulatory blood pressure

2021 ◽  
Author(s):  
Michael Nakai ◽  
Rosilene V Ribeiro ◽  
Bruce R. Stevens ◽  
Paul Gill ◽  
Rikeish R. Muralitharan ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Essential Hypertension ◽  
Gut Microbiota ◽  
Ambulatory Blood Pressure ◽  
Gut Microbiome ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Sequence Variant ◽  
Significant Shift ◽  
Β Diversity

AbstractAimsRecent evidence supports a role for the gut microbiota in hypertension, but whether ambulatory blood pressure (BP) is associated with gut microbiota and their metabolites remains unclear. Here we characterised the function of the gut microbiota, their metabolites and receptors in untreated human hypertensive participants in metropolitan and regional areas of Australia.Methods and ResultsAmbulatory BP, faecal microbiome DNA 16S rRNA gene sequencing, plasma and faecal metabolites called short-chain fatty acid (SCFAs), and expression of their receptors were analysed in 70 untreated and otherwise healthy participants from metropolitan and regional communities. Based on machine-learning multivariate covariance analyses of de-noised amplicon sequence variant (ASV) prevalence data, we determined that there were no significant differences in gut microbiome community α- and β-diversity metrics between normotensives versus essential, white coat or masked hypertensives. However, select taxa were specific to these groups, notably Acidaminococcus spp. in essential hypertensives, and Ruminococcus spp. and Coprobacillus in normotensive subjects. Importantly, normotensive and essential hypertensive cohorts could be differentiated based on gut microbiome gene pathways and metabolites. Specifically, hypertensive participants exhibited higher plasma acetate and butyrate, but their immune cells expressed reduced levels of SCFA-activated G-protein coupled receptor 43 (GPR43).ConclusionsWhile gut microbial diversity did not change in essential hypertension, there was a significant shift in microbial gene pathways, and an increase in the circulating levels of the SCFAs acetate and butyrate. Hypertensive subjects, however, had lower levels of the SCFA-sensing receptor GPR43, putatively blunting their response to BP-lowering metabolites.

scholarly journals Gut Microbiome Analysis As A Non-Invasive Tool for the Early Diagnosis of Cholangiocarcinoma

2021 ◽  
Author(s):  
Jialiang Li ◽  
Xueyan Li ◽  
Sina Zhang ◽  
Chen Jin ◽  
Zixia Lin ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Microbial Community Composition ◽  
Intestinal Flora ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Intestinal Microbiome ◽  
Rrna Gene ◽  
Non Invasive ◽  
Hepatobiliary Cancer

Abstract BACKGROUNDThe liver-microbiome axis is implicated in the pathogenesis of hepatobiliary cancer, and the role of the gut microbiota in cholangiocarcinoma (CCA) remains unclear.METHODWe conducted a case-control study on the intestinal flora of 33 CCA patients and 47 cholelithiasis individuals. We performed 16S rRNA gene sequencing to identify disease-related gut microbiota and assess the potential of the intestinal microbiome as a non-invasive biomarker for CCA.RESULTWe found that gut microbiome of CCA patients had a significantly higher alpha diversity (Shannon and Observed species indices, p = 0.006 and p = 0.02, respectively) and an overall different microbial community composition (p = 0.032). The genus Muribaculaceae_unclassified was most strongly associated with CCA (p < 0.001). We put forward a disease predictive model including twelve intestinal microbiome genera distinguished CCA patients from CF patients with an area under curve (AUC) of approximately 0.93 (95%CI, 0.85–0.987). The forecasting performance of this model was better than CA19-9. Moreover, genera Ezakiella and Garciella were only observed among intrahepatic cholangiocarcinoma patients. Further, we assessed predicted functional modules alternations CCA patients and uncovered a microbiota pattern specific to CCA.CONCLUSIONOur findings provide evidence of the intestinal microbiome as a non-invasive biomarker for CCA.

scholarly journals Gut microbiota and fecal metabolites in captive and wild North China leopard (Panthera pardus japonensis) by comparsion using 16s rRNA gene sequencing and LC/MS-based metabolomics

2020 ◽  
Author(s):  
Yan Hua ◽  
Heqin cao ◽  
Jiao Wang ◽  
Fengping He ◽  
Guangshun Jiang
Keyword(s):  
Gut Microbiota ◽  
North China ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Panthera Pardus ◽  
Bacterial Phyla ◽  
Metabolic Phenotypes ◽  
Rrna Gene Sequencing ◽  
First Time

Abstract Background: Gut microbes significantly contribute to nutrient digestion and absorption, intestinal health and immunity, and are essential for the survival and environmental adaptation of wild animals. However, there are few studies on the gut microbiota of captive and wild North China leopard (Panthera pardus japonensis). Results: A total of 10 mainly bacterial phyla were identified in the fecal microbiota of North China leopard, Lachnoclostridium (p = 0.003), Peptoclostridium (p = 0.005), Bacteroides (p =0.008), Fusobacterium (p = 0.017) and Collinsella (p = 0.019) were significantly higher than those of wild North China leopard. Distinct differences in the fecal metabolic phenotypes of captive and wild North China leopard were found, such as content of l-methionine, n-acetyl-l-tyrosine, pentadecanoic acid and oleic acid. Differentially abundant gut microbes were associated with fecal metabolites, especially the bacteria in Firmicutes and Bacteroidetes, involved in the metabolism of N-acetyl-L-alanine and D-quinovose.Conclusion: This study reports for the first time the differences in gut microbiota abundance between captive and wild North China leopard, as well as significant differences in fecal metabolic phenotypes between two groups.

Sign in / Sign up

Export Citation Format

Share Document