scholarly journals Gut Microbiota in Patients with Different Metabolic Statuses: Moscow Study

2018 ◽  
Vol 6 (4) ◽  
pp. 98 ◽  
Author(s):  
Daria Kashtanova ◽  
Olga Tkacheva ◽  
Ekaterina Doudinskaya ◽  
Irina Strazhesko ◽  
Yulia Kotovskaya ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Alpha Diversity ◽  
Intima Media Thickness ◽  
Strongly Correlated ◽  
Opportunistic Pathogens ◽  
R Programming Language ◽  
Stool Samples ◽  
R Programming ◽  
Gut Microbiota Composition

The aim of this paper was to study gut microbiota composition in patients with different metabolic statuses. Methods: 92 participants aged 25–76 years (26 of whom were men), with confirmed absence of cardiovascular and other chronic diseases (but with the possible presence of cardiovascular risk factors) were included. Carotid ultrasound examinations, 16S rRNA sequencing of stool samples and diet assessments were performed. Statistical analysis was performed using R programming language, 3.1.0. Results: Enterotyping yielded two clusters differentiated by alpha-diversity. Intima-media thickness was higher in the cluster with lower diversity (adj. p < 0.001). Obesity was associated with higher Serratia (adj. p = 0.003) and Prevotella (adj. p < 0.0003) in relative abundance. Abdominal obesity was associated with higher abundance of Serratia (adj. p = 0.004) and Prevotella (adj. p = 0.0008) and lower levels of Oscillospira (adj. p = 0.0005). Glucose metabolism disturbances were associated with higher Blautia (adj. p = 0.0007) and Serratia (adj. p = 0.003) prevalence. Arterial hypertension was associated with high Blautia levels (adj. p = 0.002). The Blautia genus strongly correlated with low resistant starch consumption (adj. p = 0.007). A combination of high-fat diet and elevated Blautia levels was very common for diabetes mellitus type 2 patients (adj. p = 0.0001). Conclusion: The results show that there is a relationship between metabolic changes and higher representation of opportunistic pathogens and low diversity of gut microbiota even in apparently healthy participants.

scholarly journals Differences in gut microbiota composition in metabolic syndrome and type 2 diabetes subjects in a multi-ethnic population: the HELIUS study

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Mélanie Deschasaux ◽  
Kristien Bouter ◽  
Andrei Prodan ◽  
Evgeni Levin ◽  
Albert Groen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Gut Microbiota ◽  
Ethnic Groups ◽  
Alpha Diversity ◽  
Microbiota Composition ◽  
Ethnic Population ◽  
Metabolic State ◽  
Gut Microbiota Composition

AbstractRecently, increased attention has been drawn to the composition of the intestinal microbiota and its possible role in metabolic syndrome and type 2 diabetes (T2DM). However, potential variation in gut microbiota composition across ethnic groups is rarely considered despite observed unequal prevalence for these diseases. Our objective was therefore to study the gut microbiota composition across health, metabolic syndrome and T2DM in a multi-ethnic population residing in the same geographical area. 16S rRNA gene sequencing was performed on fecal samples from 3926 participants to the HELIUS cohort (Amsterdam, The Netherlands), representing 6 ethnic groups (Dutch, Ghanaians, Moroccans, Turks, Surinamese of either African or South-Asian descent). Included participants completed a questionnaire and underwent a physical examination and overnight fasted blood sampling. Gut microbiota composition was compared across metabolic status (diabetes with and without metformin use, metabolic syndrome and its subsequent components, health) and ethnicities using Wilcoxon-Mann-Withney tests and logistic regressions. Overall, the gut microbiota alpha-diversity (richness, Shannon index and phylogenetic diversity) decreased with worsening of the metabolic state (comparing health to metabolic syndrome to T2DM) but this was only partially reproduced in ethnic-specific analyses. In line, a lower alpha-diversity was found in relation to all metabolic syndrome components as well as in T2DM subjects using metformin compared to non-users. Alterations, mainly decreased abundances, were also observed at the genus level (many Clostridiales) in metabolic syndrome subjects and more strongly in T2DM subjects with differences across ethnic groups. In particular, we observed decreased abundances of members of the Peptostreptococcaceae family and of Turicibacter and an increased abundance of a member of the Enterobacteriaceae family. Our data highlight several compositional differences in the gut microbiota of individuals with metabolic syndrome or T2DM. These features, confirming prior observations, give some insights into potential key intestinal bacteria related to a worsening of metabolic state. Our results also underscore possible ethnic-specific profiles associated with these microbiota alterations that should be further explored.

scholarly journals Strongyloides stercoralis Infestation in a Child: How a Nematode Can Affect Gut Microbiota

2021 ◽  
Vol 22 (4) ◽  
pp. 2131
Author(s):  
Stefania Pane ◽  
Anna Sacco ◽  
Andrea Iorio ◽  
Lorenza Romani ◽  
Lorenza Putignani
Keyword(s):  
Gut Microbiota ◽  
Bacterial Species ◽  
Alpha Diversity ◽  
Strongyloides Stercoralis ◽  
Pulmonary Involvement ◽  
Diversity Indices ◽  
Parasite Infection ◽  
Intestinal Nematode ◽  
Immune Mediated ◽  
Stool Samples

Background: Strongyloidiasis is a neglected tropical disease caused by the intestinal nematode Strongyloides stercoralis and characterized by gastrointestinal and pulmonary involvement. We report a pediatric case of strongyloidiasis to underline the response of the host microbiota to the perturbation induced by the nematode. Methods: We performed a 16S rRNA-metagenomic analysis of the gut microbiota of a 7-year-old female during and after S. stercolaris infection, investigating three time-point of stool samples’ ecology: T0- during parasite infection, T1- a month after parasite infection, and T2- two months after parasite infection. Targeted-metagenomics were used to investigate ecology and to predict the functional pathways of the gut microbiota. Results: an increase in the alpha-diversity indices in T0-T1 samples was observed compared to T2 and healthy controls (CTRLs). Beta-diversity analysis showed a shift in the relative abundance of specific gut bacterial species from T0 to T2 samples. Moreover, the functional prediction of the targeted-metagenomics profiles suggested an enrichment of microbial glycan and carbohydrate metabolisms in the T0 sample compared with CTRLs. Conclusions: The herein report reinforces the literature suggestion of a putative direct or immune-mediated ability of S. stercolaris to promote the increase in bacterial diversity.

Analysis of Gut Microbiota Composition in Lung Adenocarcinoma Patients with TCM Qi-Yin Deficiency

2021 ◽  
pp. 1-16
Author(s):  
Jiabin Chen ◽  
Sheng Wang ◽  
Jianfei Shen ◽  
Qinqin Hu ◽  
Yongjun Zhang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Lung Adenocarcinoma ◽  
Deficiency Syndrome ◽  
Diagnostic Model ◽  
Linear Discriminant ◽  
Yin Deficiency ◽  
16S Rna ◽  
Stool Samples ◽  
Tcm Syndrome ◽  
Gut Microbiota Composition

In Lung adenocarcinoma (ADC), Qi-Yin deficiency syndrome (QY) is the most common Traditional Chinese medicine (TCM) syndrome. This study aimed to investigate the diversity and composition of gut microbiota in ADC patients with QY syndrome. 90 stool samples, including 30 healthy individuals (H), 30 ADC patients with QY syndrome, and 30 ADC patients with another syndrome (O) were collected. Then, 16s-RNA sequencing was used to analyze stool samples to clarify the structure of gut microbiota, and linear discriminant analysis (LDA) effect size (LEfSe) was applied to identify biomarkers for ADC with QY syndrome. Logistic regression analysis was performed to establish a diagnostic model for the diagnosis of QY syndrome in ADC patients, which was assessed with the AUC. Finally, 20 fecal samples (QY: 10; O: 10) were analyzed with Metagenomics to validate the diagnostic model. The [Formula: see text] diversity and [Formula: see text] diversity demonstrated that the structure of gut microbiota in the QY group was different from that of the H group and O group. In the QY group, the top 3 taxonomies at phylum level were Firmicutes, Bacteroidetes, and Proteobacteria, and at genus level were Faecalibacterium, Prevotella_9, and Bifidobacterium. LEfSe identified Prevotella_9 and Streptococcus might be the biomarkers for QY syndrome. A diagnostic model was constructed using those 2 genera with the AUC = 0.801, similar to the AUC based on Metagenomics (0.842). The structure of gut microbiota in ADC patients with QY syndrome was investigated, and a diagnostic model was developed for the diagnosis of QY syndrome in ADC patients, which provides a novel idea for the understanding and diagnosis of TCM syndrome.

Changes in the gut microbiota of morbidly obese patients after laparoscopic sleeve gastrectomy

2021 ◽  
Author(s):  
Alev Kural ◽  
Imran Khan ◽  
Hakan Seyit ◽  
Tuba R Caglar ◽  
Pınar Toklu ◽  
...  
Keyword(s):  
Sleeve Gastrectomy ◽  
Gut Microbiota ◽  
Laparoscopic Sleeve Gastrectomy ◽  
Amplicon Sequencing ◽  
Morbidly Obese ◽  
Microbiota Composition ◽  
16S Amplicon Sequencing ◽  
Before And After ◽  
Stool Samples ◽  
Gut Microbiota Composition

Aims: Permanent treatment of morbid obesity with medication or diet is nearly impossible. Laparoscopic sleeve gastrectomy (LSG) is becoming a widely accepted treatment option. This study profiled and compared gut microbiota composition before and after LSG. Methods & results: A total of 54 stool samples were collected from 27 morbidly obese individuals before and after LSG. The gut microbiota was profiled with 16S amplicon sequencing. After LSG, patients demonstrated a significant decrease (p < 0.001) in BMI and an increase in bacterial diversity. An increased Firmicutes/Bacteroidetes ratio was also noticed after LSG. The families Prevotellaceae and Veillonellaceae predominated in preoperative samples but were markedly lowered after LSG. A marked increase in Akkermansia, Alistipes, Streptococcus, Ruminococcus and Parabacteroides was observed after LSG. Conclusion: In addition to lowering BMI, LSG remodeled gut microbiota composition.

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 Osteopontin-Enriched Algae Modulates the Gut Microbiota Composition in Weaning Piglets Infected with Enterotoxigenic Escherichia Coli (P06-069-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Mei Wang ◽  
Brooke Smith ◽  
Brock Adams ◽  
Miller Tran ◽  
Ryan Dilger ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Gut Microbiota ◽  
Alpha Diversity ◽  
Enterotoxigenic Escherichia Coli ◽  
Farm Animals ◽  
Future Research ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Wild Type ◽  
Gut Microbiota Composition

Abstract Objectives Enterotoxigenic Escherichia coli (ETEC) are an important cause of diarrhea in human infants and young farm animals. Osteopontin (OPN), a glycoprotein present in high concentration in human milk, has immunomodulatory functions, which could indirectly impact the microbiota. Furthermore, a previous study has shown fecal microbiota composition differs between wild-type and OPN knockout mice. Herein, the effects of OPN-enriched algae on the gut microbiota composition and volatile fatty acid (VFA) concentrations of ETEC-infected piglets were assessed. Methods Naturally-farrowed piglets were sow-reared for 21 days and then randomized to two weaning diets: WT (formula + 1% wild-type algae) or OPN (formula + 1% OPN-enriched algae). On postnatal day (PND) 31, all piglets were infected orally with a live culture of ETEC (1010 colony-forming unit/3 mL dose) daily for three consecutive days. On PND 41, ascending colon (AC) contents were collected. Gut microbiota was assessed by sequencing V3-V4 regions of 16S rRNA gene and VFAs were determined by gas chromatography. Alpha-diversity and VFAs were analyzed using PROC MIXED procedure of SAS. Beta-diversity was evaluated by permutational multivariate analysis of variance (PERMANOVA) and differential abundance analysis on the bacterial genera was performed using DESeq2 package of R. Results Shannon indices were lower in the AC contents of OPN piglets compared to WT piglets. The overall colonic microbiota of OPN piglets differed from that of WT piglets (PERMANOVA P = 0.015). At genus level, OPN-enriched algae increased the abundance of Streptococcus, decreased the abundances of Sutterella, Candidatus Soleaferrea, dga-11 gut group, Rikenellaceae RC9 gut group, Ruminococcaceae UCG-010, unculturedRuminococcaceae, Prevotella 2 and 7 compared to piglets consuming wild-type algae (P < 0. 05). OPN piglets also had higher (P < 0.05) concentrations of acetate, propionate, butyrate and valerate compared to WT. Conclusions In ETEC infected piglets, 1% OPN-enriched algae decreased alpha-diversity and modulated the microbiota composition and VFA profiles compared to 1% WT algae. Other studies have shown that OPN inhibits biofilm formation in vitro, but future research is needed to assess in vivo microbiome-modulation mechanisms. Funding Sources Triton Algae Innovations.

scholarly journals Cohabitation is associated with a greater resemblance in gut microbiota which can impact cardiometabolic and inflammatory risk

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Casey T. Finnicum ◽  
Jeffrey J. Beck ◽  
Conor V. Dolan ◽  
Christel Davis ◽  
Gonneke Willemsen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Environmental Influence ◽  
Alpha Diversity ◽  
P Value ◽  
Genetic Profile ◽  
Microbiota Composition ◽  
Significant Difference ◽  
Mz Twins ◽  
Gut Microbiota Composition ◽  
Inflammatory Burden

Abstract Background The gut microbiota composition is known to be influenced by a myriad of factors including the host genetic profile and a number of environmental influences. Here, we focus on the environmental influence of cohabitation on the gut microbiota as well as whether these environmentally influenced microorganisms are associated with cardiometabolic and inflammatory burden. We perform this by investigating the gut microbiota composition of various groups of related individuals including cohabitating monozygotic (MZ) twin pairs, non-cohabitating MZ twin pairs and spouse pairs. Results A stronger correlation between alpha diversity was found in cohabitating MZ twins (45 pairs, r = 0.64, p = 2.21 × 10− 06) than in non-cohabitating MZ twin pairs (121 pairs, r = 0.42, p = 1.35 × 10− 06). Although the correlation of alpha diversity did not attain significance between spouse pairs (42 pairs, r = 0.23, p = 0.15), the correlation was still higher than those in the 209 unrelated pairs (r = − 0.015, p = 0.832). Bray-Curtis (BC) dissimilarity metrics showed cohabitating MZ twin pairs had the most similar gut microbiota communities which were more similar than the BC values of non-cohabitating MZ twins (empirical p-value = 0.0103), cohabitating spouses (empirical p-value = 0.0194), and pairs of unrelated non-cohabitating individuals (empirical p-value< 0.00001). There was also a significant difference between the BC measures from the spouse pairs and those from the unrelated non-cohabitating individuals (empirical p-value< 0.00001). Intraclass correlation coefficients were calculated between the various groups of interest and the results indicate the presence of OTUs with an environmental influence and one OTU that appeared to demonstrate genetic influences. One of the OTUs (Otu0190) was observed to have a significant association with both the cardiometabolic and inflammatory burden scores (p’s < 0.05). Conclusions Through the comparison of the microbiota contents of MZ twins with varying cohabitation status and spousal pairs, we showed evidence of environmentally influenced OTUs, one of which had a significant association with cardiometabolic and inflammatory burden scores.

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.

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