scholarly journals Microbiota and Metabolite Modifications after Dietary Exclusion of Dairy Products and Reduced Consumption of Fermented Food in Young and Older Men

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1905
Author(s):  
Jinyoung Kim ◽  
Kathryn J. Burton-Pimentel ◽  
Charlotte Fleuti ◽  
Carola Blaser ◽  
Valentin Scherz ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Dairy Products ◽  
Fermented Food ◽  
Fermented Foods ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Age Related ◽  
The Impact ◽  
Effect Of Age ◽  
Gut Microbiota Composition

The gut microbiota adapts to age-related changes in host physiology but is also affected by environmental stimuli, like diet. As a source of both pre- and probiotics, dairy and fermented foods modulate the gut microbiota composition, which makes them interesting food groups to use for the investigation of interactions between diet and ageing. Here we present the effects of excluding dairy products and limiting fermented food consumption for 19 days on gut microbiota composition and circulating metabolites of 28 healthy, young (YA) and older (OA) adult men. The intervention affected gut microbial composition in both groups, with significant increases in Akkermansia muciniphila and decreases in bacteria of the Clostridiales order. Lower fasting levels of glucose and insulin, as well as dairy-associated metabolites like lactose and pentadecanoic acid, were observed after the intervention, with no effect of age. The intervention also decreased HDL and LDL cholesterol levels. Dairy fat intake was positively associated with the HDL cholesterol changes but not with the LDL/HDL ratio. In conclusion, restricting the intake of dairy and fermented foods in men modified their gut microbiota and blood metabolites, while the impact of the dietary restrictions on these outcomes was more marked than the effect of age.

scholarly journals Differences in the Microbial Composition of Hemodialysis Patients Treated with and without β-Blockers

2021 ◽  
Vol 11 (3) ◽  
pp. 198
Author(s):  
Yi-Ting Lin ◽  
Ting-Yun Lin ◽  
Szu-Chun Hung ◽  
Po-Yu Liu ◽  
Wei-Chun Hung ◽  
...  
Keyword(s):  
Random Forest ◽  
Gut Microbiota ◽  
Hemodialysis Patients ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Α Diversity ◽  
Β Blocker ◽  
Β Blockers ◽  
The Impact ◽  
Gut Microbiota Composition

β-blockers are commonly prescribed to treat cardiovascular disease in hemodialysis patients. Beyond the pharmacological effects, β-blockers have potential impacts on gut microbiota, but no study has investigated the effect in hemodialysis patients. Hence, we aim to investigate the gut microbiota composition difference between β-blocker users and nonusers in hemodialysis patients. Fecal samples collected from hemodialysis patients (83 β-blocker users and 110 nonusers) were determined by 16S ribosomal RNA amplification sequencing. Propensity score (PS) matching was performed to control confounders. The microbial composition differences were analyzed by the linear discriminant analysis effect size, random forest, and zero-inflated Gaussian fit model. The α-diversity (Simpson index) was greater in β-blocker users with a distinct β-diversity (Bray–Curtis Index) compared to nonusers in both full and PS-matched cohorts. There was a significant enrichment in the genus Flavonifractor in β-blocker users compared to nonusers in full and PS-matched cohorts. A similar finding was demonstrated in random forest analysis. In conclusion, hemodialysis patients using β-blockers had a different gut microbiota composition compared to nonusers. In particular, the Flavonifractor genus was increased with β-blocker treatment. Our findings highlight the impact of β-blockers on the gut microbiota in hemodialysis patients.

scholarly journals Antibiotics at birth and later antibiotic courses: effects on gut microbiota

2021 ◽  
Author(s):  
Sofia Ainonen ◽  
Mysore V Tejesvi ◽  
Md. Rayhan Mahmud ◽  
Niko Paalanne ◽  
Tytti Pokka ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Control Group ◽  
List Type ◽  
Antibiotic Exposure ◽  
Microbiota Composition ◽  
Long Term Effects ◽  
The Impact ◽  
Antibiotic Courses ◽  
Gut Microbiota Composition

Abstract Background Intrapartum antibiotic prophylaxis (IAP) is widely used, but the evidence of the long-term effects on the gut microbiota and subsequent health of children is limited. Here, we compared the impacts of perinatal antibiotic exposure and later courses of antibiotic courses on gut microbiota. Methods This was a prospective, controlled cohort study among 100 vaginally delivered infants with different perinatal antibiotic exposures: control (27), IAP (27), postnatal antibiotics (24), and IAP and postnatal antibiotics (22). At 1 year of age, we performed next-generation sequencing of the bacterial 16S ribosomal RNA gene of fecal samples. Results Exposure to the perinatal antibiotics had a clear impact on the gut microbiota. The abundance of the Bacteroidetes phylum was significantly higher in the control group, whereas the relative abundance of Escherichia coli was significantly lower in the control group. The impact of the perinatal antibiotics on the gut microbiota composition was greater than exposure to later courses of antibiotics (28% of participants). Conclusions Perinatal antibiotic exposure had a marked impact on the gut microbiota at the age of 1 year. The timing of the antibiotic exposure appears to be the critical factor for the changes observed in the gut microbiota. Impact Infants are commonly exposed to IAP and postnatal antibiotics, and later to courses of antibiotics during the first year of life. Perinatal antibiotics have been associated with an altered gut microbiota during the first months of life, whereas the evidence regarding the long-term impact is more limited. Perinatal antibiotic exposure had a marked impact on the infant’s gut microbiota at 1 year of age. Impact of the perinatal antibiotics on the gut microbiota composition was greater than that of the later courses of antibiotics at the age of 1 year.

scholarly journals Effects of Rich in Β-Glucans Edible Mushrooms on Aging Gut Microbiota Characteristics: An In Vitro Study

Molecules ◽  
2020 ◽  
Vol 25 (12) ◽  
pp. 2806 ◽  
Author(s):  
Evdokia K. Mitsou ◽  
Georgia Saxami ◽  
Emmanuela Stamoulou ◽  
Evangelia Kerezoudi ◽  
Eirini Terzi ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Wheat Straw ◽  
In Vitro Study ◽  
Short Chain Fatty Acids ◽  
Edible Mushrooms ◽  
Elderly Subjects ◽  
Microbiota Composition ◽  
The Impact ◽  
Gut Microbiota Composition

Alterations of gut microbiota are evident during the aging process. Prebiotics may restore the gut microbial balance, with β-glucans emerging as prebiotic candidates. This study aimed to investigate the impact of edible mushrooms rich in β-glucans on the gut microbiota composition and metabolites by using in vitro static batch culture fermentations and fecal inocula from elderly donors (n = 8). Pleurotus ostreatus, P. eryngii, Hericium erinaceus and Cyclocybe cylindracea mushrooms derived from various substrates were examined. Gut microbiota composition (quantitative PCR (qPCR)) and short-chain fatty acids (SCFAs; gas chromatography (GC)) were determined during the 24-h fermentation. P. eryngii induced a strong lactogenic effect, while P. ostreatus and C. cylindracea induced a significant bifidogenic effect (p for all <0.05). Furthermore, P. eryngii produced on wheat straw and the prebiotic inulin had comparable Prebiotic Indexes, while P. eryngii produced on wheat straw/grape marc significantly increased the levels of tested butyrate producers. P. ostreatus, P. eryngii and C. cylindracea had similar trends in SCFA profile; H. erinaceus mushrooms were more diverse, especially in the production of propionate, butyrate and branched SCFAs. In conclusion, mushrooms rich in β-glucans may exert beneficial in vitro effects in gut microbiota and/or SCFAs production in elderly subjects.

scholarly journals PSI-10 Establishing a foundation to harvest the potential of the microbiome in poultry production

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 293-294
Author(s):  
Camila S Marcolla ◽  
Benjamin Willing
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Relative Abundance ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Poultry Production ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
The Impact

Abstract This study aimed to characterize poultry microbiota composition in commercial farms using 16S rRNA sequencing. Animals raised in sanitized environments have lower survival rates when facing pathogenic challenges compared to animals naturally exposed to commensal organisms. We hypothesized that intensive rearing practices inadvertently impair chicken exposure to microbes and the establishment of a balanced gut microbiota. We compared gut microbiota composition of broilers (n = 78) and layers (n = 20) from different systems, including commercial intensive farms with and without in-feed antibiotics, organic free-range farms, backyard-raised chickens and chickens in an experimental farm. Microbial community composition of conventionally raised broilers was significantly different from antibiotic-free broilers (P = 0.012), from broilers raised outdoors (P = 0.048) and in an experimental farm (P = 0.006) (Fig1). Significant community composition differences were observed between antibiotic-fed and antibiotic-free chickens (Fig2). Antibiotic-free chickens presented higher alpha-diversity, higher relative abundance of Deferribacteres, Fusobacteria, Bacteroidetes and Actinobacteria, and lower relative abundance of Firmicutes, Clostridiales and Enterobacteriales than antibiotic-fed chickens (P &lt; 0.001) (Fig3). Microbial community composition significantly changed as birds aged. In experimental farm, microbial community composition was significant different for 7, 21 and 35 day old broilers (P &lt; 0.001), and alpha diversity increased from 7 to 21d (P &lt; 0.024), but not from 21 to 35d; whereas, in organic systems, increases in alpha-diversity were observed from 7d to 21d, and from 21d to 35d (P &lt; 0.05). Broilers and layers raised together showed no differences in microbiota composition and alpha diversity (P &gt; 0.8). It is concluded that production practices consistently impact microbial composition, and that antibiotics significantly reduces microbial diversity. We are now exploring the impact of differential colonization in a controlled setting, to determine the impact of the microbes associated with extensively raised chickens. This study will support future research and the development of methods to isolate and introduce beneficial microbes to commercial systems.

scholarly journals The Role of Gut Microbiota and Gut–Brain Interplay in Selected Diseases of the Central Nervous System

2021 ◽  
Vol 22 (18) ◽  
pp. 10028
Author(s):  
Julia Doroszkiewicz ◽  
Magdalena Groblewska ◽  
Barbara Mroczko
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Gut Microbiota ◽  
Autism Spectrum ◽  
Future Research ◽  
Microbiota Composition ◽  
Parkinson’S Diseases ◽  
The Central Nervous System ◽  
The Impact ◽  
Gut Microbiota Composition

The gut microbiome has attracted increasing attention from researchers in recent years. The microbiota can have a specific and complex cross-talk with the host, particularly with the central nervous system (CNS), creating the so-called “gut–brain axis”. Communication between the gut, intestinal microbiota, and the brain involves the secretion of various metabolites such as short-chain fatty acids (SCFAs), structural components of bacteria, and signaling molecules. Moreover, an imbalance in the gut microbiota composition modulates the immune system and function of tissue barriers such as the blood–brain barrier (BBB). Therefore, the aim of this literature review is to describe how the gut–brain interplay may contribute to the development of various neurological disorders, combining the fields of gastroenterology and neuroscience. We present recent findings concerning the effect of the altered microbiota on neurodegeneration and neuroinflammation, including Alzheimer’s and Parkinson’s diseases, as well as multiple sclerosis. Moreover, the impact of the pathological shift in the microbiome on selected neuropsychological disorders, i.e., major depressive disorders (MDD) and autism spectrum disorder (ASD), is also discussed. Future research on the effect of balanced gut microbiota composition on the gut–brain axis would help to identify new potential opportunities for therapeutic interventions in the presented diseases.

scholarly journals The Impact of Host Genotype, Intestinal Sites and Probiotics Supplementation on the Gut Microbiota Composition and Diversity in Sheep

Biology ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 769
Author(s):  
Xiaoqi Wang ◽  
Zhichao Zhang ◽  
Xiaoping Wang ◽  
Qi Bao ◽  
Rujing Wang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
High Throughput Sequencing ◽  
Shared Environment ◽  
Microbiota Composition ◽  
Initial State ◽  
Host Genotype ◽  
Tan Sheep ◽  
The Impact ◽  
Distinct Distribution ◽  
Gut Microbiota Composition

Three sampling strategies with a 16s rRNA high-throughput sequencing and gene expression assay (by RT-PCR) were designed, to better understand the host and probiotics effect on gut microbiota in sheep. Sampling: (1) colon contents and back-fat tissues from small-tailed Han sheep (SHS), big-tailed Hulun Buir sheep (BHBS), and short-tailed Steppe sheep (SHBS) (n = 12, 14, 12); (2) jejunum, cecum and colon contents, and feces from Tan sheep (TS, n = 6); (3) feces from TS at 4 time points (nonfeeding, 30 and 60 feeding days, and stop feeding 30 days) with probiotics supplementation (n = 7). The results indicated SHS had the highest Firmicutes abundance, the thinnest back-fat, and the lowest expression of C/EBPβ, C/EBPδ, ATGL, CFD, and SREBP1. Some bacteria orders and families could be potential biomarkers for sheep breeds with a distinct distribution of bacterial abundance, implying the host genotype is predominant in shaping unique microbiota under a shared environment. The microbiota diversity and Bifidobacterial populations significantly changed after 60 days of feeding but restored to its initial state, with mostly colonies, after 30 days ceased. The microbiota composition was greatly different between the small and large intestines, but somewhat different between the large intestine and feces; feces may be reliable for studying large intestinal microbiota in ruminants.

scholarly journals The gut microbiota profile of adults with kidney disease: A systematic review of the literature

2019 ◽  
Author(s):  
Jordan Stanford ◽  
Karen Charlton ◽  
Anita Stefoska-Needham ◽  
Rukayat Ibrahim ◽  
Kelly Lambert
Keyword(s):  
Systematic Review ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Cochrane Library ◽  
Uremic Toxin ◽  
Healthy Controls ◽  
Microbiota Composition ◽  
Dietary Intakes ◽  
Microbial Composition ◽  
Gut Microbiota Composition

Abstract Background There is mounting evidence that individuals with kidney disease have an abnormal gut microbiota composition. No studies to date have summarised the evidence to categorise how the gut microbiota profile of individuals with kidney disease may differ from healthy controls. Synthesis of this evidence is important to inform future clinical trials. This systematic review aims to characterise differences of the gut microbiota composition in adults with kidney disease, as well as to describe the functional capacity of the gut microbiota and reporting of diet as a confounder in these studies. Methods Included studies were those that investigated the gut microbial community in adults with any type of kidney disease and compared this to the profile of healthy controls. Six scientific databases (CINHAL, Medline, PubMed, Scopus, Web of Science, Cochrane Library) as well as selected grey literature sources were searched up until August 2018. Quality assessment was undertaken independently by three authors. The system of evidence level criteria was employed to quantitatively evaluate the alteration of microbiota by strictly considering the number, methodological quality and consistency of the findings. Additional findings relating to altered functions of the gut microbiota, dietary intakes and dietary methodologies used were qualitatively summarised. Results Sixteen articles, reporting 15 studies met the eligibility criteria and included a total of 540 adults with kidney disease and 1117 healthy controls. Compared to healthy controls, individuals with kidney disease had increased abundances of Enterobacteriaceae, and decreased abundances of Coprococcus and Prevotella. Adults with kidney stones also had an altered microbial composition with variations to Bacteroides, Lachnospiraceae NK4A136 group, Ruminiclostridium 5 group, Dorea, Enterobacter, Christensenellaceae and its genus Christensenellaceae R7 group. Altered microbial functions in adults with kidney disease were reported, particularly in the context of metabolic pathways relating to urea and uremic toxin generation. Only three of the 16 articles accounted for diet, and of these studies only two used a valid dietary assessment method. Conclusions The gut microbiota profile of adults with kidney disease differs from healthy controls. Future study designs should include adequate reporting of important confounders such as dietary intakes to assist with interpretation of findings.

scholarly journals Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Yuliaxis Ramayo-Caldas ◽  
Laura M. Zingaretti ◽  
David Pérez-Pascual ◽  
Pamela A. Alexandre ◽  
Antonio Reverter ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Association Studies ◽  
Host Genome ◽  
Phenotypic Variance ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Phagocytic Capacity ◽  
Host Genetics ◽  
Gut Microbiota Composition ◽  
Variance Explained

Abstract Background The gut microbiota influences host performance playing a relevant role in homeostasis and function of the immune system. The aim of the present work was to identify microbial signatures linked to immunity traits and to characterize the contribution of host-genome and gut microbiota to the immunocompetence in healthy pigs. Results To achieve this goal, we undertook a combination of network, mixed model and microbial-wide association studies (MWAS) for 21 immunity traits and the relative abundance of gut bacterial communities in 389 pigs genotyped for 70K SNPs. The heritability (h2; proportion of phenotypic variance explained by the host genetics) and microbiability (m2; proportion of variance explained by the microbial composition) showed similar values for most of the analyzed immunity traits, except for both IgM and IgG in plasma that was dominated by the host genetics, and the haptoglobin in serum which was the trait with larger m2 (0.275) compared to h2 (0.138). Results from the MWAS suggested a polymicrobial nature of the immunocompetence in pigs and revealed associations between pigs gut microbiota composition and 15 of the analyzed traits. The lymphocytes phagocytic capacity (quantified as mean fluorescence) and the total number of monocytes in blood were the traits associated with the largest number of taxa (6 taxa). Among the associations identified by MWAS, 30% were confirmed by an information theory network approach. The strongest confirmed associations were between Fibrobacter and phagocytic capacity of lymphocytes (r = 0.37), followed by correlations between Streptococcus and the percentage of phagocytic lymphocytes (r = -0.34) and between Megasphaera and serum concentration of haptoglobin (r = 0.26). In the interaction network, Streptococcus and percentage of phagocytic lymphocytes were the keystone bacterial and immune-trait, respectively. Conclusions Overall, our findings reveal an important connection between gut microbiota composition and immunity traits in pigs, and highlight the need to consider both sources of information, host genome and microbial levels, to accurately characterize immunocompetence in pigs.

scholarly journals The Interplay between Immunity and Microbiota at Intestinal Immunological Niche: The Case of Cancer

2019 ◽  
Vol 20 (3) ◽  
pp. 501 ◽  
Author(s):  
Rossella Cianci ◽  
Laura Franza ◽  
Giovanni Schinzari ◽  
Ernesto Rossi ◽  
Gianluca Ianiro ◽  
...  
Keyword(s):  
Gene Expression ◽  
Immune System ◽  
Gut Microbiota ◽  
Special Role ◽  
Microbiota Composition ◽  
Cancer Treatments ◽  
Microbial Composition ◽  
Different Types ◽  
The Impact ◽  
Influence Gene Expression

The gut microbiota is central to the pathogenesis of several inflammatory and autoimmune diseases. While multiple mechanisms are involved, the immune system clearly plays a special role. Indeed, the breakdown of the physiological balance in gut microbial composition leads to dysbiosis, which is then able to enhance inflammation and to influence gene expression. At the same time, there is an intense cross-talk between the microbiota and the immunological niche in the intestinal mucosa. These interactions may pave the way to the development, growth and spreading of cancer, especially in the gastro-intestinal system. Here, we review the changes in microbiota composition, how they relate to the immunological imbalance, influencing the onset of different types of cancer and the impact of these mechanisms on the efficacy of traditional and upcoming cancer treatments.

scholarly journals Links between diet, gut microbiota composition and gut metabolism

2014 ◽  
Vol 74 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Harry J. Flint ◽  
Sylvia H. Duncan ◽  
Karen P. Scott ◽  
Petra Louis
Keyword(s):  
Gut Microbiota ◽  
Interactive System ◽  
Microbiota Composition ◽  
Alternative Pathways ◽  
Hexose Sugars ◽  
Metabolic Products ◽  
The Impact ◽  
Bacterial Groups ◽  
Gut Microbiota Composition ◽  
Gut Metabolism

The gut microbiota and its metabolic products interact with the host in many different ways, influencing gut homoeostasis and health outcomes. The species composition of the gut microbiota has been shown to respond to dietary change, determined by competition for substrates and by tolerance of gut conditions. Meanwhile, the metabolic outputs of the microbiota, such as SCFA, are influenced both by the supply of dietary components and via diet-mediated changes in microbiota composition. There has been significant progress in identifying the phylogenetic distribution of pathways responsible for formation of particular metabolites among human colonic bacteria, based on combining cultural microbiology and sequence-based approaches. Formation of butyrate and propionate from hexose sugars, for example, can be ascribed to different bacterial groups, although propionate can be formed via alternative pathways from deoxy-sugars and from lactate by a few species. Lactate, which is produced by many gut bacteria in pure culture, can also be utilised by certain Firmicutes to form butyrate, and its consumption may be important for maintaining a stable community. Predicting the impact of diet upon such a complex and interactive system as the human gut microbiota not only requires more information on the component groups involved but, increasingly, the integration of such information through modelling approaches.

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