Resistance and Endurance Exercise Training Induce Differential Changes in Gut Microbiota Composition in Murine Models

Background: The effect of resistance training on gut microbiota composition has not been explored, despite the evidence about endurance exercise. The aim of this study was to compare the effect of resistance and endurance training on gut microbiota composition in mice.Methods: Cecal samples were collected from 26 C57BL/6N mice, divided into three groups: sedentary (CTL), endurance training on a treadmill (END), and resistance training on a vertical ladder (RES). After 2 weeks of adaption, mice were trained for 4 weeks, 5 days/week. Maximal endurance and resistance capacity test were performed before and after training. Genomic DNA was extracted and 16S Ribosomal RNA sequenced for metagenomics analysis. The percentages for each phylum, class, order, family, or genus/species were obtained using an open-source bioinformatics pipeline.Results: END showed higher diversity and evenness. Significant differences among groups in microbiota composition were only observed at genera and species level. END showed a significantly higher relative abundance of Desulfovibrio and Desulfovibrio sp., while Clostridium and C. cocleatum where higher for RES. Trained mice showed significantly lower relative abundance of Ruminococcus gnavus and higher of the genus Parabacteroides compared to CTL. We explored the relationship between relative taxa abundance and maximal endurance and resistance capacities after the training period. Lachnospiraceae and Lactobacillaceae families were negatively associated with endurance performance, while several taxa, including Prevotellaceae family, Prevotella genus, and Akkermansia muciniphila, were positively correlated. About resistance performance, Desulfovibrio sp. was negatively correlated, while Alistipes showed a positive correlation.Conclusion: Resistance and endurance training differentially modify gut microbiota composition in mice, under a high-controlled environment. Interestingly, taxa associated with anti- and proinflammatory responses presented the same pattern after both models of exercise. Furthermore, the abundance of several taxa was differently related to maximal endurance or resistance performance, most of them did not respond to training.

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

Proceedings of The Nutrition Society ◽

10.1017/s0029665120003171 ◽

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.

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

Microbial Cell Factories ◽

10.1186/s12934-021-01716-x ◽

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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Effects of 12 weeks of resistance training on gut microbiota composition of rats

Journal of Experimental Biology ◽

10.1242/jeb.242543 ◽

2021 ◽

Author(s):

Alinne P. Castro ◽

Keemilyn K. S. Silva ◽

Claudia S. A. Medeiros ◽

Fernanda Alves ◽

Ronaldo C. Araujo ◽

...

Keyword(s):

Body Weight ◽

Resistance Training ◽

Gut Microbiota ◽

16S Rrna Gene Sequencing ◽

Tolerance Test ◽

Rrna Gene ◽

Microbiota Composition ◽

Lower Body Weight ◽

Rrna Gene Sequencing ◽

Gut Microbiota Composition

In addition to its health benefits, exercise training has been pointed out as modulator of the gut microbiota. However, the effects of resistance training (RT) on gut microbiota composition remain unknown. Wistar rats underwent 12 weeks of RT. Body weight, glucose tolerance test, visceral body fat, triglyceride concentration, and food consumption were evaluated. The gut microbiota was analyzed by 16S rRNA gene sequencing. Rats that underwent RT showed lower body weight (p=0.0005), lower fat content (p=0.02), and better glucose kinetics (p=0.047) when compared to the control. Improvements in the diversity and composition of the gut microbiota were identified in the RT group. The relative abundance of Pseudomonas, Serratia, and Comamonas decreased significantly after 12 weeks of RT (p<0.001). These results suggest that RT has the potential to enhance the diversity of the gut microbiota and improve its biological functions.

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Tiansi Liquid Modulates Gut Microbiota Composition and Tryptophan–Kynurenine Metabolism in Rats with Hydrocortisone-Induced Depression

Molecules ◽

10.3390/molecules23112832 ◽

2018 ◽

Vol 23 (11) ◽

pp. 2832 ◽

Cited By ~ 4

Author(s):

Dan Cheng ◽

Hongsheng Chang ◽

Suya Ma ◽

Jian Guo ◽

Gaimei She ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

High Performance ◽

Negative Relationship ◽

Treated Group ◽

Control Group ◽

Microbiota Composition ◽

Traditional Chinese Herbal Medicine ◽

Underlying Mechanisms ◽

Gut Microbiota Composition

Tiansi Liquid is a traditional Chinese herbal medicine used to treat depression; however, the underlying mechanisms remain unclear. Here, we examined the effect of Tiansi Liquid in a rat model of hydrocortisone-induced depression using behavioral testing, 16S rRNA high-throughput pyrosequencing and high-performance liquid chromatography-mass spectrometry-based metabolomics of the tryptophan (TRP)–kynurenine (KYN) pathway. Tiansi Liquid significantly improved the sucrose preference and exploratory behavior of the depressive rats. The richness of intestinal mucosa samples from the model (depressive) group tended to be higher than that from the control group, while the richness was higher in the Tiansi Liquid-treated group than in the model group. Tiansi Liquid increased the relative abundance of some microbiota (Ruminococcaceae, Lactococcus, Lactobacillus, Lachnospiraceae_NK4A136_group). Metabolomics showed that Tiansi Liquid reduced the levels of tryptophan 2,3 dioxygenase, indoleamine 2,3-dioxygenase, quinoline and the KYN/TRP ratio, while increasing kynurenic acid and 5-HT levels. Correlation analysis revealed a negative relationship between the relative abundance of the Lachnospiraceae_NK4A136_group and quinoline content. Collectively, these findings suggest that Tiansi Liquid ameliorates depressive symptoms in rats by modulating the gut microbiota composition and metabolites in the TRP–KYN pathway.

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Gut microbiota profile of Indonesian stunted children and children with normal nutritional status

PLoS ONE ◽

10.1371/journal.pone.0245399 ◽

2021 ◽

Vol 16 (1) ◽

pp. e0245399

Author(s):

Ingrid S. Surono ◽

Dian Widiyanti ◽

Pratiwi D. Kusumo ◽

Koen Venema

Keyword(s):

Fatty Acids ◽

Nutritional Status ◽

Gut Microbiota ◽

Relative Abundance ◽

Rrna Gene ◽

Microbiota Composition ◽

Normal Children ◽

Abundant Genus ◽

Gut Microbiota Composition ◽

Chain Fatty Acids

The gut microbiota has been shown to play a role in energy metabolism of the host. Dysbiosis of the gut microbiota may predispose to obesity on the one hand, and stunting on the other. The aim of the study was to study the difference in gut microbiota composition of stunted Indonesian children and children of normal nutritional status between 3 and 5 years. Fecal samples and anthropometric measurements, in addition to economic and hygiene status were collected from 78 stunted children and 53 children with normal nutritional status in two regions in Banten and West Java provinces: Pandeglang and Sumedang, respectively. The gut microbiota composition was determined by sequencing amplicons of the V3-V4 region of the 16S rRNA gene. The composition was correlated to nutritional status and anthropometric parameters. Macronutrient intake was on average lower in stunted children, while energy-loss in the form of short-chain fatty acids (SCFA) and branched-chain fatty acids (BCFA) appeared to be higher in stunted children. In stunted children, at the phylum level the relative abundance of Bacteroidetes (44.4%) was significantly lower than in normal children (51.3%; p-value 2.55*10−4), while Firmicutes was significantly higher (45.7% vs. 39.8%; p-value 5.89*10−4). At the genus level, overall Prevotella 9 was the most abundant genus (average of 27%), and it was significantly lower in stunted children than in normal children (23.5% vs. 30.5%, respectively; q-value 0.059). Thirteen other genera were significantly different between stunted and normal children (q-value < 0.1), some of which were at low relative abundance and present in only a few children. Prevotella 9 positively correlated with height (in line with its higher relative abundance in normal children) and weight. In conclusion, Prevotella 9, which was the most abundant genus in the children, was significantly lower in stunted children. The abundance of Prevotella has been correlated with dietary fibre intake, which was lower in these stunted children. Since fibres are fermented by the gut microbiota into SCFA, and these SCFA are a source of energy for the host, increasing the proportion of Prevotella in stunted children may be of benefit. Whether this would prevent the occurrence of stunting or even has the potential to revert it, remains to be seen in follow up research.

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

10.1101/2020.01.13.905588 ◽

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.

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Prebiotic supplementation over a cold season and during antibiotic treatment specifically modulates the gut microbiota composition of 3-6 year-old children

Beneficial Microbes ◽

10.3920/bm2018.0116 ◽

2019 ◽

Vol 10 (3) ◽

pp. 253-263 ◽

Cited By ~ 7

Author(s):

S. Soldi ◽

S. Vasileiadis ◽

S. Lohner ◽

F. Uggeri ◽

E. Puglisi ◽

...

Keyword(s):

Gut Microbiota ◽

Antibiotic Treatment ◽

Relative Abundance ◽

Cold Season ◽

Medical Attention ◽

Control Group ◽

Rrna Gene ◽

Healthy Children ◽

Microbiota Composition ◽

Gut Microbiota Composition

Supplementing kindergarten children during a cold season with a prebiotic inulin-type fructans product with shorter and longer fructan chains has been shown to reduce febrile episodes requiring medical attention and to lower the incidence of sinusitis. These beneficial effects may be connected to the specific modulation of children’s gut microbiota. By applying quantitative and qualitative microbiota analysis this study aimed at characterising the gut microbiota composition and at exploring effects of prebiotic intervention on the gut microbiota during a 24-weeks intervention and during antibiotic treatment in healthy children. The study was a randomised, placebo-controlled trial with 258 healthy children aged 3 to 6 years consuming 6 g/day prebiotic inulin-type fructans or maltodextrin. During the course of the study, faecal samples were collected and subject to targeted qPCR analysis and phylogenetic profiling by multiplexed high throughput sequencing of the prokaryotic 16S rRNA gene PCR amplicons. The microbiota composition of the cohort could be clustered into three distinct constellations (enterotypes). Prebiotic intake resulted in a selective modulation of the gut microbiota composition. Relative abundance of Bifidobacterium was significantly higher in the prebiotic group (n=104) compared to control group (n=105) and this effect was found for all three enterotypes. Antibiotic administration decreased the relative abundance of Bifidobacterium in both groups. Nonetheless, children of the prebiotic group receiving antibiotic treatment displayed significantly higher levels of Bifidobacterium than children receiving the placebo control. Prebiotic supplementation induced specific changes in the gut microbiota composition of children aged 3 to 6 years. Moreover, it attenuated antibiotic-induced disturbances in the gut microbiota composition as shown by higher relative abundance of bifidobacteria at the end of the antibiotic treatment in the prebiotic group. With the previously reported benefits on immune function, the study contributes to the evidence on the immune-modulating effects of prebiotics through gut microbiota modifications. The study was registered as NCT03241355 ( https://clinicaltrials.gov/show/NCT03241355 ).

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

Nutrients ◽

10.3390/nu11092089 ◽

2019 ◽

Vol 11 (9) ◽

pp. 2089 ◽

Cited By ~ 11

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.

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The Bacterial Gut Microbiota of Adult Patients Infected, Colonized or Noncolonized by Clostridioides difficile

Microorganisms ◽

10.3390/microorganisms8050677 ◽

2020 ◽

Vol 8 (5) ◽

pp. 677 ◽

Cited By ~ 3

Author(s):

Monique J. T. Crobach ◽

Quinten R. Ducarmon ◽

Elisabeth M. Terveer ◽

Celine Harmanus ◽

Ingrid M. J. G. Sanders ◽

...

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Amplicon Sequencing ◽

Rrna Gene ◽

Microbiota Composition ◽

Clostridioides Difficile ◽

Bacterial Microbiota ◽

Differential Abundance Analysis ◽

Gut Microbiota Composition ◽

Eubacterium Hallii

Gut microbiota composition in patients with Clostridioides difficile colonization is not well investigated. We aimed to identify bacterial signatures associated with resistance and susceptibility to C. difficile colonization (CDC) and infection (CDI). Therefore, gut microbiota composition from patients with CDC (n = 41), with CDI (n = 41), and without CDC (controls, n = 43) was determined through 16S rRNA gene amplicon sequencing. Bacterial diversity was decreased in CDC and CDI patients (p < 0.01). Overall microbiota composition was significantly different between control, CDC, and CDI patients (p = 0.001). Relative abundance of Clostridioides (most likely C. difficile) increased stepwise from controls to CDC and CDI patients. In addition, differential abundance analysis revealed that CDI patients’ gut microbiota was characterized by significantly higher relative abundance of Bacteroides and Veillonella than CDC patients and controls. Control patients had significantly higher Eubacterium hallii and Fusicatenibacter abundance than colonized patients. Network analysis indicated that Fusicatenibacter was negatively associated with Clostridioides in CDI patients, while Veillonella was positively associated with Clostridioides in CDC patients. Bacterial microbiota diversity decreased in both CDC and CDI patients, but harbored a distinct microbiota. Eubacterium hallii and Fusicatenibacter may indicate resistance against C. difficile colonization and subsequent infection, while Veillonella may indicate susceptibility to colonization and infection by C. difficile.

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Sub-Chronic Difenoconazole Exposure Induced Gut Microbiota Dysbiosis in Mice

Toxics ◽

10.3390/toxics10010034 ◽

2022 ◽

Vol 10 (1) ◽

pp. 34

Author(s):

Zhiwei Bao ◽

Weitao Wang ◽

Xiaofang Wang ◽

Mingrong Qian ◽

Yuanxiang Jin

Keyword(s):

Gut Microbiota ◽

Relative Abundance ◽

Periodic Acid ◽

Alpha Diversity ◽

High Volume ◽

Control Group ◽

Microbiota Composition ◽

Periodic Acid Schiff ◽

Gut Microbiota Dysbiosis ◽

Gut Microbiota Composition

Difenoconazole (DIF) is a widely separated triazole fungicide in many countries. The excessive usage of DIF increases the high volume of residues in agriculture production and water bodies. Some previous studies demonstrated the toxic effects of DIF on non-target animals, however, there were still some gaps in the knowledge of the potential hazards of DIF to mammals and human health. Herein, 7-week-old male mice were exposed to 30 and 100 mg/kg/day DIF for 14 and 56 days. We observed that 56 days of DIF exposure decreased the colonic mucus expression of alcin blue-periodic acid-schiff (AB-PAS) stain and the immunochemical stain of muc2 protein. The transcript levels of mucin protein (muc1, muc2 and muc3) decreased significantly in the gut of mice followed 56 days of 100 mg/kg/day DIF exposure. In addition, the gut microbiota composition was also affected after 14 or 56 days of DIF exposure. Although the mucus expression after 14 days of DIF exposure only decreased slightly, the gut microbiota composition compared with the control group was changed significantly. Moreover, the DIF-30 and DIF-100 caused respectively different changes on the gut microbiota. The relative abundance of Bacteroidetes decreased significantly after 14 days and 56 days of DIF exposure. After 14 days of DIF exposure, there were 35 and 18 differential genera in the DIF-30 and DIF-100 group, respectively. There were 25 and 32 differential genera in the DIF-30 and DIF-100 group after 56 days of exposure, respectively. Meanwhile, the alpha diversity indexes, including observed species, Shannon, Simpson, Chao1 and ACE, in gut microbiota decreased significantly after 56 days of DIF exposure. Interestingly, the relative abundance of Akkermansia increased significantly after 56 days of 100 mg/kg/d DIF exposure. Although Akkermansia was considered as one probiotic, the phenomenon of dramatic Akkermansia increase with the decrease in gut microbiota diversity needed further discussion. These results provided some new insights on how DIF exposure impacts the mucus barrier and induces gut microbiota dysbiosis.

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