scholarly journals Effects of Regular Kefir Consumption on Gut Microbiota in Patients with Metabolic Syndrome: A Parallel-Group, Randomized, Controlled Study

Nutrients ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 2089 ◽  
Author(s):  
Ezgi BELLIKCI-KOYU ◽  
Banu Pınar SARER-YUREKLI ◽  
Yakut AKYON ◽  
Fadime AYDIN-KOSE ◽  
Cem KARAGOZLU ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Gut Microbiota ◽  
Relative Abundance ◽  
Controlled Study ◽  
Microbiota Composition ◽  
Randomized Controlled ◽  
Parallel Group ◽  
Significant Difference ◽  
Gut Microbiota Composition

Several health-promoting effects of kefir have been suggested, however, there is limited evidence for its potential effect on gut microbiota in metabolic syndrome This study aimed to investigate the effects of regular kefir consumption on gut microbiota composition, and their relation with the components of metabolic syndrome. In a parallel-group, randomized, controlled clinical trial setting, patients with metabolic syndrome were randomized to receive 180 mL/day kefir (n = 12) or unfermented milk (n = 10) for 12 weeks. Anthropometrical measurements, blood samples, blood pressure measurements, and fecal samples were taken at the beginning and end of the study. Fasting insulin, HOMA-IR, TNF-α, IFN-γ, and systolic and diastolic blood pressure showed a significant decrease by the intervention of kefir (p ≤ 0.05, for each). However, no significant difference was obtained between the kefir and unfermented milk groups (p > 0.05 for each). Gut microbiota analysis showed that regular kefir consumption resulted in a significant increase only in the relative abundance of Actinobacteria (p = 0.023). No significant change in the relative abundance of Bacteroidetes, Proteobacteria or Verrucomicrobia by kefir consumption was obtained. Furthermore, the changes in the relative abundance of sub-phylum bacterial populations did not differ significantly between the groups (p > 0.05, for each). Kefir supplementation had favorable effects on some of the metabolic syndrome parameters, however, further investigation is needed to understand its effect on gut microbiota composition.

scholarly journals Rotten-skin disease significantly changed giant spiny frog(Paa spinosa) gut microbiota

2020 ◽  
Author(s):  
Tuoyu He ◽  
Yun Jiang ◽  
Pengpeng Wang ◽  
Jianguo Xiang ◽  
Wangcheng Pan
Keyword(s):  
Gut Microbiota ◽  
Relative Abundance ◽  
Skin Disease ◽  
High Throughput Sequencing ◽  
Health Conditions ◽  
Microbiota Composition ◽  
Significant Difference ◽  
Host Health ◽  
Host Diet ◽  
Gut Microbiota Composition

AbstractThe composition and abundance of gut microbiota is essential for host health and immunity. Gut microbiota is symbiotic with the host, so changes in the host diet, development, and health will lead to changes in the gut microbiota. Conversely, changes in the gut microbiota also affect the host conditions. In this experiment, 16S rRNA high-throughput sequencing was used to compare the gut microbiota composition of 5 healthy Paa Spinosa and 6 P. spinosa with rotten-skin disease. Results: the gut microbiota composition was significant difference between diseased P. spinosa and the healthy P. spinosa; LEfSe analysis showed that the relative abundance of Methanocorpusculum, Parabacteroides, AF12, PW3, Epulopiscium, and Oscillospira were significantly higher in the diseased P. spinosa, while the relative abundance of Serratia, Eubacteium, Citrobacter, and Morganella were significantly lower. Conclusion: Rotten-skin disease changed P. spinosa gut microbiota significantly; The relative abundance of Epulopiscium and Oscillospira might be related to the health conditions of the host skin and gallbladder; The relative abundance of Serratia and Eubacteium might be important for maintaining the gut microbiota ecosystem.

Characterization of gut microbiota composition in HIV-infected patients with metabolic syndrome

2019 ◽  
Vol 75 (3) ◽  
pp. 299-309 ◽  
Author(s):  
María Jesús Villanueva-Millán ◽  
Patricia Pérez-Matute ◽  
Emma Recio-Fernández ◽  
José-Miguel Lezana Rosales ◽  
José-Antonio Oteo
Keyword(s):  
Metabolic Syndrome ◽  
Gut Microbiota ◽  
Microbiota Composition ◽  
Gut Microbiota Composition

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 Diet quality, anthropometrics, and gut microbiota composition in healthy adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Anna M. Malinowska ◽  
Marcin Schmidt ◽  
Agata Chmurzynska
Keyword(s):  
Gut Microbiota ◽  
Energy Intake ◽  
Relative Abundance ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Metagenomic Sequencing ◽  
Microbiota Composition ◽  
Anthropometric Parameters ◽  
Gut Microbiota Composition ◽  
Dietary Indices

AbstractHuman gut microbiota may affect metabolism and health by synthesizing metabolites and processing of food components. Those processes are specific to genus and species (or even strain), and dietary intake and metabolic state (such as obesity) can affect the composition of gut microbiota. The aim of the study was to assess the effect of dietary patterns and intake of several groups of food products and macronutrients, as well as the impact of anthropometric parameters on gut microbiota composition.The study group consisted of 200 men and women between 31 and 50 years of age. The diet was assessed using three-day dietary records and the dietary pattern was determined with the use of the original score method and two dietary indices, namely the Diet Quality Index – International (DQI-I) and the Healthy Eating Index (HEI). Bacterial DNA was isolated from the feces of the participants and microbiota composition was determined using metagenomic sequencing of the V3–V4 region of the 16S rRNA gene.Dietary indices and intake of energy from macronutrients did not correlate with the Firmicutes to Bacteroidetes phylum ratio. However people with greater abundance of the Firmicutes phylum compared to Bacteroidetes consumed higher amounts of fermented milk beverages, hard cheese, and salt (78%, 48%, 14% higher intake respectively; p < 0.05). A higher diet quality as measured by the diet indices was positively correlated with the relative abundance of the Firmicutes phylum, Bacilli, Clostridia class, Lachnospira, Faecalibacterium, Coprococcus, and Prevotella genus and negatively correlated with the relative abundance of the Bacteroidetes phylum, Bacteroidia class, and Bacteroides genus. Higher dietary fiber intake positively correlated with the relative abundance of the Coprococcus, Lachnospira, and Roseburia genera, whereas energy intake from simple carbohydrates was positively correlated with the relative abundance of the Tenericutes phylum and the Mollicutes class. Energy intake from alcohol correlated positively with the relative abundance of Bacteroidetes phylum and Bacteroides class and correlated negatively with Firmicutes phylum and Clostridia class. Lower waist-to-hip-ratio, body mass index, and fat mass led to higher abundance of the Fecalibacterium genus.Both diet and anthropometric parameters are associated with gut microbiota composition. Associations between diet and the relative abundance of microbiota are nutrient-specific.

scholarly journals Liver-specific knockdown of ANGPTL8 alters the structure of the gut microbiota in mice

2020 ◽  
Vol 70 (1) ◽  
Author(s):  
Yinlong Cheng ◽  
Yining Li ◽  
Yonghong Xiong ◽  
Yixin Zou ◽  
Siyu Chen ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Shannon Index ◽  
Microbiota Composition ◽  
Functional Prediction ◽  
Adeno Associated Virus ◽  
Virus Serotype ◽  
Significant Difference ◽  
And Function ◽  
Gut Microbiota Composition

Abstract Purpose To investigate the effect of liver-specific knockdown of ANGPTL8 on the structure of the gut microbiota. Methods We constructed mice with liver-specific ANGPTL8 knockdown by using an adeno-associated virus serotype 8 (AAV8) system harbouring an ANGPTL8 shRNA. We analysed the structure and function of the gut microbiome through pyrosequencing and KEGG (Kyoto Encyclopedia of Genes and Genomes) functional prediction. Results Compared with controls, ANGPTL8 shRNA reduced the Simpson index and Shannon index (p < 0.01) of the gut microbiota in mice. At the phylum level, the sh-ANGPTL8 group showed a healthier gut microbiota composition than controls (Bacteroidetes: controls 67.52%, sh-ANGPTL8 80.75%; Firmicutes: controls 10.96%, sh-ANGPTL8 8.58%; Proteobacteria: controls 9.29%, sh-ANGPTL8 0.98%; F/B ratio: controls 0.16, sh-ANGPTL8 0.11). PCoA and UPGMA analysis revealed a significant difference in microbiota composition, while KEGG analysis revealed a significant difference in microbiota function between controls and the sh-ANGPTL8 group. Conclusion Our results revealed that inhibition of ANGPTL8 signalling altered the structure of the gut microbiome, which might further affect the metabolism of mice. We have thus identified ANGPTL8 as a novel hepatogenic hormone potentially involving the liver-gut axis and regulating the structure of the gut microbiota.

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 The effects of Levilactobacillus brevis on the physiological parameters and gut microbiota composition of rats subjected to desynchronosis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Evgenii I. Olekhnovich ◽  
Ekaterina G. Batotsyrenova ◽  
Roman A. Yunes ◽  
Vadim A. Kashuro ◽  
Elena U. Poluektova ◽  
...  
Keyword(s):  
Circadian Rhythms ◽  
Gut Microbiota ◽  
Relative Abundance ◽  
Reduced Glutathione ◽  
Physiological Parameters ◽  
Male Rats ◽  
Constant Light ◽  
Constant Darkness ◽  
Microbiota Composition ◽  
Gut Microbiota Composition

Abstract Background All living organisms have developed during evolution complex time-keeping biological clocks that allowed them to stay attuned to their environments. Circadian rhythms cycle on a near 24 h clock. These encompass a variety of changes in the body ranging from blood hormone levels to metabolism, to the gut microbiota composition and others. The gut microbiota, in return, influences the host stress response and the physiological changes associated with it, which makes it an important determinant of health. Lactobacilli are traditionally consumed for their prophylactic and therapeutic benefits against various diseases, namely, the inflammatory bowel syndrome, and even emerged recently as promising psychobiotics. However, the potential role of lactobacilli in the normalization of circadian rhythms has not been addressed. Results Two-month-old male rats were randomly divided into three groups and housed under three different light/dark cycles for three months: natural light, constant light and constant darkness. The strain Levilactobacillus brevis 47f was administered to rats at a dose of 0.5 ml per rat for one month and The rats were observed for the following two months. As a result, we identified the biomarkers associated with intake of L. brevis 47f. Changing the light regime for three months depleted the reserves of the main buffer in the cell—reduced glutathione. Intake of L. brevis 47f for 30 days restored cellular reserves of reduced glutathione and promoted redox balance. Our results indicate that the levels of urinary catecholamines correlated with light/dark cycles and were influenced by intake of L. brevis 47f. The gut microbiota of rats was also influenced by these factors. L. brevis 47f intake was associated with an increase in the relative abundance of Faecalibacterium and Roseburia and a decrease in the relative abundance of Prevotella and Bacteroides. Conclusions The results of this study show that oral administration of L. brevis 47f, for one month, to rats housed under abnormal lightning conditions (constant light or constant darkness) normalized their physiological parameters and promoted the gut microbiome's balance.

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