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 Differences in the Microbial Composition of Hemodialysis Patients Treated With and Without β-Blockers

2020 ◽  
Author(s):  
Yi-Ting Lin ◽  
Ting-Yun Lin ◽  
Szu-Chun Hung ◽  
Po-Yu Liu ◽  
Wei-Chun Hung ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Hemodialysis Patients ◽  
Size Analysis ◽  
Matched Cohort ◽  
Microbial Composition ◽  
Full Cohort ◽  
Α Diversity ◽  
Β Blocker ◽  
Β Blockers ◽  
The Impact

Abstract Background: β-blockers are commonly prescribed medications to treat cardiovascular disease and prevent sudden cardiac death during hemodialysis. Beyond the medication effects on the host, no study has investigated the impact of β-blocker on the gut microbiota in hemodialysis patients. Results: The β-blocker users had a higher proportion of diabetes mellitus, hypertension, dyslipidemia, coronary artery disease, heart failure, cerebrovascular disease, and concurrent medications than non-users. After propensity score (PS) matching, there were no differences in comorbidities and concomitant medications. The α-diversity (Simpson index) increased in β-blocker users with a distinct β-diversity (Bray-Curtis Index) compared to non-users in the full cohort and PS-matched cohort. In the linear discriminative analysis effect size analysis and zero-inflated Gaussian fit model, there was a significant enrichment in the genus Flavonifractor in β-blocker users compared to non-users in the full cohort and PS-matched cohort; this was confirmed by random forest analysis. Conclusions: Hemodialysis patients using β-blocker used had a different gut microbiota composition compared to non-users, in particular, the Flavonifractor genus was significantly increased with β-blocker treatment. These findings highlight the significant impact of β-blockers on the gut microbiome in hemodialysis patients. Further research is warranted regarding the mechanisms and their clinical consequences.

scholarly journals Anti-Acid Drug Treatment Induces Changes in the Gut Microbiome Composition of Hemodialysis Patients

2021 ◽  
Vol 9 (2) ◽  
pp. 286
Author(s):  
Yi-Ting Lin ◽  
Ting-Yun Lin ◽  
Szu-Chun Hung ◽  
Po-Yu Liu ◽  
Ping-Hsun Wu ◽  
...  
Keyword(s):  
Random Forest ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Hemodialysis Patients ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Linear Discriminant ◽  
H2 Blocker ◽  
Α Diversity ◽  
16S Rna

Anti-acid drugs, proton pump inhibitor (PPI) and histamine-2 blocker (H2-blocker), are commonly prescribed to treat gastrointestinal disorders. These anti-acid drugs alter gut microbiota in the general population, but their effects are not known in hemodialysis patients. Hence, we investigated the microbiota composition in hemodialysis patients treated with PPIs or H2-blocker. Among 193 hemodialysis patients, we identified 32 H2-blocker users, 23 PPI users, and 138 no anti-acid drug subjects. Fecal samples were obtained to analyze the gut microbiome using 16S RNA amplicon sequencing. Differences in the microbial composition of the H2-blocker users, PPI users, and controls were assessed using linear discriminant analysis effect size and the random forest algorithm. The species richness or evenness (α-diversity) was similar among the three groups, whereas the inter-individual diversity (β-diversity) was different between H2-blocker users, PPI users, and controls. Hemodialysis patients treated with H2-blocker and PPIs had a higher microbial dysbiosis index than the controls, with a significant increase in the genera Provetella 2, Phascolarctobacterium, Christensenellaceae R-7 group, and Eubacterium oxidoreducens group in H2-blocker users, and Streptococcus and Veillonella in PPI users. In addition, compared to the H2-blocker users, there was a significant enrichment of the genera Streptococcus in PPI users, as confirmed by the random forest analysis and the confounder-adjusted regression model. In conclusion, PPIs significantly changed the gut microbiota composition in hemodialysis patients compared to H2-blocker users or controls. Importantly, the Streptococcus genus was significantly increased in PPI treatment. These findings caution against the overuse of PPIs.

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 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 Dissecting the Role of the Gut Microbiota and Diet on Visceral Fat Mass Accumulation (OR31-07-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Caroline Le Roy ◽  
Ruth Bowyer ◽  
Claire Steves ◽  
Tim Spector ◽  
Bell Jordana
Keyword(s):  
Vitamin E ◽  
Random Forest ◽  
Gut Microbiota ◽  
Fat Mass ◽  
Mediation Analysis ◽  
Visceral Fat ◽  
Nutrient Intake ◽  
Microbiota Composition ◽  
Gut Microbiota Composition

Abstract Objectives Accumulation of visceral fat mass (VFM) is a major risk factor for cardiovascular and metabolic disease. Both gut microbiota and diet have been shown to impact host adiposity in an interdependent manner, but the exact nature of their joint contributions has not been characterised. Here, we aimed to estimate and separate the effect of gut microbiota composition from that of nutrient intake on host VFM in of 1760 older female twins. Methods The gut microbiome profile was assessed by 16S sequencing. VFM was measured by DEXA whole body scan and nutrient intake was assessed through food frequency questionnaires. We used a combination of pair-wise associations, random forest modelling and mediation analysis to separate the effect of the gut microbiota and nutrients on VFM. Results Pairwise analyses revealed that 93 OTUs and 10 nutrients were significantly linked to VFM. Five of the 10 nutrients (fibre, trans fatty acids, magnesium, vitamin E and biotin) were also associated with 23% of the 93 VFM-associated OTUs. To separate the effects of the gut microbiota from nutrients on VFM we carried out conditional analyses. We observed that the majority (87%) of the 93 OTUs remained significantly associated with VFM irrespective of nutrient intake correction. In contrast, we observed that fibre, magnesium, biotin and vitamin E were no longer significantly associated with VFM when adjusting models for OTUs (P > 0.05), implying a role of the gut microbiota in mediating these nutrient effects on VFM. Formal mediation analysis revealed that the individual effect of fibre, biotin, magnesium and vitamin E on VFM were mediated at 69, 43, 41 and 31% respectively by OTUs. Moreover, we estimated that accumulated effect of OTUs on VFM (R2 = 0.19) was twice the one of nutrients (R2 = 0.11) and so were their prediction potential determined using random forest classification. Conclusions Our results suggest that while the role of certain nutrients on VFM appears to depend on gut microbiota composition, specific gut microbes may affect host adiposity regardless of dietary intake. The findings imply that the gut microbiota may have a greater contribution towards shaping host adiposity and VFM, compared to diet alone. Funding Sources We gratefully acknowledge support provided by the JPI HDHL funded DINAMIC consortium (administered by the MRC UK, MR/N030125/1). Supporting Tables, Images and/or Graphs

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 Microbial signature in IgE-mediated food allergies

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael R. Goldberg ◽  
Hadar Mor ◽  
Dafna Magid Neriya ◽  
Faiga Magzal ◽  
Efrat Muller ◽  
...  
Keyword(s):  
Food Allergy ◽  
Gut Microbiota ◽  
Learning Algorithm ◽  
Area Under The Curve ◽  
Food Allergies ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Α Diversity ◽  
Ige Mediated ◽  
Gut Microbiota Composition

Abstract Background Multiple studies suggest a key role for gut microbiota in IgE-mediated food allergy (FA) development, but to date, none has studied it in the persistent state. Methods To characterize the gut microbiota composition and short-chain fatty acid (SCFAs) profiles associated with major food allergy groups, we recruited 233 patients with FA including milk (N = 66), sesame (N = 38), peanut (N = 71), and tree nuts (N = 58), and non-allergic controls (N = 58). DNA was isolated from fecal samples, and 16S rRNA gene sequences were analyzed. SCFAs in stool were analyzed from patients with a single allergy (N = 84) and controls (N = 31). Results The gut microbiota composition of allergic patients was significantly different compared to age-matched controls both in α-diversity and β-diversity. Distinct microbial signatures were noted for FA to different foods. Prevotella copri (P. copri) was the most overrepresented species in non-allergic controls. SCFAs levels were significantly higher in the non-allergic compared to the FA groups, whereas P. copri significantly correlated with all three SCFAs. We used these microbial differences to distinguish between FA patients and non-allergic healthy controls with an area under the curve of 0.90, and for the classification of FA patients according to their FA types using a supervised learning algorithm. Bacteroides and P. copri were identified as taxa potentially contributing to KEGG acetate-related pathways enriched in non-allergic compared to FA. In addition, overall pathway dissimilarities were found among different FAs. Conclusions Our results demonstrate a link between IgE-mediated FA and the composition and metabolic activity of the gut microbiota.

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.

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