Dysbiosis of Fecal Microbiota in Allergic Rhinitis Patients

2020 ◽  
Vol 34 (5) ◽  
pp. 650-660 ◽  
Author(s):  
Xiang Liu ◽  
Jing Tao ◽  
Jing Li ◽  
Xiaolin Cao ◽  
Yong Li ◽  
...  
Keyword(s):  
Allergic Rhinitis ◽  
Statistical Analysis ◽  
Gut Microbiota ◽  
Study Groups ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Linear Discriminant ◽  
Α Diversity ◽  
Gut Microbiota Composition

Background The gut microbiota plays an important role in shaping the immune system and may be closely connected to the development of allergic diseases. Objective This study aimed to determine the gut microbiota composition in Chinese allergic rhinitis (AR) patients as compared with healthy controls (HCs). Methods We collected stool samples from 93 AR patients and 72 age- and sex-matched HCs. Gut microbiota composition was analyzed using QIIME targeting the 16S rRNA gene. Functional pathways were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States. Statistical analysis was performed using the R program, linear discriminant analysis effect size (LefSe), analysis of QIIME, and statistical analysis of metagenomic profiles, among other tests. Results Compared with HCs, AR patients had significantly lower gut-microbiota α-diversity ( P < .001). The gut microbiota composition significantly differed between the 2 study groups. At the phylum level, the relative abundance of Bacteroidetes was higher while those of Actinobacteria and Proteobacteria were lower in the AR group than in the HC group ( P < .001, q < 0.001). At the genus level, Escherichia-Shigella, Prevotella, and Parabacteroides ( P < .001, q < 0.001) had significantly higher relative abundances in the AR group than in the HC group. LefSe analysis indicated that Escherichia-Shigella, Lachnoclostridium, Parabacteroides, and Dialister were potential biomarkers for AR. In addition, predictive metagenome functional analysis showed that pyruvate, porphyrin, chlorophyll, purine metabolism, and peptidoglycan biosynthesis significantly differed between the AR and HC groups. Conclusion A comparison of the gut microbiota of AR patients and HCs suggested that dysbiosis of the fecal microbiota is involved in the development of AR. The present results may reveal key differences and identify targets for preventive or therapeutic intervention.

scholarly journals Alterations of gut microbiota composition in post-finasteride patients: a pilot study

2020 ◽  
Author(s):  
F. Borgo ◽  
A. D. Macandog ◽  
S. Diviccaro ◽  
E. Falvo ◽  
S. Giatti ◽  
...  
Keyword(s):  
Sexual Dysfunction ◽  
Gut Microbiota ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Sample Collection ◽  
Persistent Symptoms ◽  
Α Diversity ◽  
Gut Microbiota Composition

Abstract Purpose Post-finasteride syndrome (PFS) has been reported in a subset of patients treated with finasteride (an inhibitor of the enzyme 5alpha-reductase) for androgenetic alopecia. These patients showed, despite the suspension of the treatment, a variety of persistent symptoms, like sexual dysfunction and cognitive and psychological disorders, including depression. A growing body of literature highlights the relevance of the gut microbiota-brain axis in human health and disease. For instance, alterations in gut microbiota composition have been reported in patients with major depressive disorder. Therefore, we have here analyzed the gut microbiota composition in PFS patients in comparison with a healthy cohort. Methods Fecal microbiota of 23 PFS patients was analyzed by 16S rRNA gene sequencing and compared with that reported in ten healthy male subjects. Results Sexual dysfunction, psychological and cognitive complaints, muscular problems, and physical alterations symptoms were reported in more than half of the PFS patients at the moment of sample collection. The quality sequence check revealed a low library depth for two fecal samples. Therefore, the gut microbiota analyses were conducted on 21 patients. The α-diversity was significantly lower in PFS group, showing a reduction of richness and diversity of gut microbiota structure. Moreover, when visualizing β-diversity, a clustering effect was found in the gut microbiota of a subset of PFS subjects, which was also characterized by a reduction in Faecalibacterium spp. and Ruminococcaceae UCG-005, while Alloprevotella and Odoribacter spp were increased compared to healthy control. Conclusion Gut microbiota population is altered in PFS patients, suggesting that it might represent a diagnostic marker and a possible therapeutic target for this syndrome.

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 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.

scholarly journals Gut Microbiota Composition and Metabolomic Profiles of Wild and Captive Chinese Monals (Lophophorus lhuysii) 

2020 ◽  
Author(s):  
Dandan Jiang ◽  
Xin He ◽  
Marc Valitutto ◽  
Li Chen ◽  
Qin Xu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
High Performance ◽  
Bird Species ◽  
Alpha Diversity ◽  
Integrated Approach ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Metabolomic Profile ◽  
Gut Microbiota Composition

Abstract Background：The Chinese monal (Lophophorus lhuysii) is an endangered bird species, with a wild population restricted to the mountains of southwest China, and only one known captive population in the world. We investigated the fecal microbiota and metabolome of wild and captive Chinese monals to explore differences and similarities in nutritional status and digestive characteristics. An integrated approach combining 16S ribosomal RNA (16S rRNA) gene sequencing and ultra-high performance liquid chromatography (UHPLC) based metabolomics were used to examine the fecal microbiota composition and the metabolomic profile of Chinese monals. Results: The results showed that the alpha diversity of gut microbes in the wild group were significantly higher than that in the captive group and the core bacterial taxa in the two groups showed remarkable differences at phylum, class, order, and family levels. Metabolomic profiling also revealed differences, mainly related to galactose, starch and sucrose metabolism, fatty acid, bile acid biosynthesis and bile secretion. Furthermore, strong correlations of metabolite types and bacterial genus were detected. Conclusions: There were remarkable differences in the gut microbiota composition and metabolomic profile between wild and captive Chinese monals. This study has established a baseline for a normal gut microbiota and metabolomic profile for wild Chinese monals, thus allowing us to evaluate if differences seen in captive organisms have an impact on their overall health and reproduction.

scholarly journals Fecal Supernatant from Adult with Autism Spectrum Disorder Alters Digestive Functions, Intestinal Epithelial Barrier, and Enteric Nervous System

2021 ◽  
Vol 9 (8) ◽  
pp. 1723
Author(s):  
Jacques Gonzales ◽  
Justine Marchix ◽  
Laetitia Aymeric ◽  
Catherine Le Berre-Scoul ◽  
Johanna Zoppi ◽  
...  
Keyword(s):  
Nervous System ◽  
Gut Microbiota ◽  
Enteric Nervous System ◽  
Fecal Microbiota ◽  
Autism Spectrum ◽  
Repetitive Behaviors ◽  
Rrna Gene ◽  
Intestinal Epithelial ◽  
Microbiota Composition ◽  
Α Diversity

Autism Spectrum Disorders (ASDs) are neurodevelopmental disorders defined by impaired social interactions and communication with repetitive behaviors, activities, or interests. Gastrointestinal (GI) disturbances and gut microbiota dysbiosis are frequently associated with ASD in childhood. However, it is not known whether microbiota dysbiosis in ASD patients also occurs in adulthood. Further, the consequences of altered gut microbiota on digestive functions and the enteric nervous system (ENS) remain unexplored. Therefore, we studied, in mice, the ability offecal supernatant (FS) from adult ASD patients to induce GI dysfunctions and ENS remodeling. First, the analyses of the fecal microbiota composition in adult ASD patients indicated a reduced α-diversity and increased abundance of three bacterial 16S rRNA gene amplicon sequence variants compared to healthy controls (HC). The transfer of FS from ASD patients (FS–ASD) to mice decreased colonic barrier permeability by 29% and 58% compared to FS–HC for paracellular and transcellular permeability, respectively. These effects are associated with the reduced expression of the tight junction proteins JAM-A, ZO-2, cingulin, and proinflammatory cytokines TNFα and IL1β. In addition, the expression of glial and neuronal molecules was reduced by FS–ASD as compared to FS-HC in particular for those involved in neuronal connectivity (βIII-tubulin and synapsin decreased by 31% and 67%, respectively). Our data suggest that changes in microbiota composition in ASD may contribute to GI alterations, and in part, via ENS remodeling.

scholarly journals Assess The Diversity of Gut Microbiota Among Healthy Adults For Forensic Application

2021 ◽  
Author(s):  
Shuangshuang Wang ◽  
Feng Song ◽  
Haoyu Gu ◽  
Zhilong Shu ◽  
Xiaowen Wei ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Study Groups ◽  
Normal Weight ◽  
Healthy Adults ◽  
Personal Identification ◽  
Female Group ◽  
Microbiota Composition ◽  
Linear Discriminant ◽  
Potential Biomarker ◽  
Gut Microbiota Composition

Abstract Background: Human gut microbiota is individually unique that hints the microbiota in fecal traces left in the crime scene could act as a potential biomarker for forensic personal identification. Next-generation DNA sequencing and bioinformatic analysis of fecal samples are revolutionizing our insights into gut microbial communities. While the formation of the gut microbiota is known to be multifactorial, it is unclear whether these characteristics can be applied to forensic applications. Therefore, the gut microbiota of healthy adults with different traits in Chengdu was investigated in this study.Results: Based on the STAMP analysis of each study group, the difference in gut microbiota composition in male and female subjects was observed. The male group was characterized by taxa in the phylum Proteobacteria, while the female group was described by Synergistetes phylum. The gut bacterial community assembly mechanism was mainly affected by the deterministic process. In addition, gut microbiota composition showed meaningful discrimination in each of the BMI groups. At the phylum level, in male subjects, increased representative phyla were Patescibacteria (p<0.05) in the underweight group and Bacteroidetes (p<0.05) in the normal-weight group, while in the female group, the significantly different phyla were Bacteroidetes, Firmicutes, and Actinobacteria. At the genus level, 44 unique genera were found to be significantly distinct across BMI study groups. By Fisher’s Linear Discriminant Analysis based on 38 of 44 unique genera, 94.4% of original BMI grouped subjects were correctly classified.Conclusion: In conclusion, subjects with different individual characters have specific gut microbiota, and can be discriminated by bioinformatics methods, suggesting it is promising to apply gut microbiota to forensic personal identification.

scholarly journals Gut microbiota composition and metabolomic profiles of wild and captive Chinese monals (Lophophorus lhuysii)

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Dandan Jiang ◽  
Xin He ◽  
Marc Valitutto ◽  
Li Chen ◽  
Qin Xu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
High Performance ◽  
Bird Species ◽  
Alpha Diversity ◽  
Integrated Approach ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Metabolomic Profile ◽  
Gut Microbiota Composition

Abstract Background The Chinese monal (Lophophorus lhuysii) is an endangered bird species, with a wild population restricted to the mountains in southwest China, and only one known captive population in the world. We investigated the fecal microbiota and metabolome of wild and captive Chinese monals to explore differences and similarities in nutritional status and digestive characteristics. An integrated approach combining 16S ribosomal RNA (16S rRNA) gene sequencing and ultra-high performance liquid chromatography (UHPLC) based metabolomics were used to examine the fecal microbiota composition and the metabolomic profile of Chinese monals. Results The results showed that the alpha diversity of gut microbes in the wild group were significantly higher than that in the captive group and the core bacterial taxa in the two groups showed remarkable differences at phylum, class, order, and family levels. Metabolomic profiling also revealed differences, mainly related to galactose, starch and sucrose metabolism, fatty acid, bile acid biosynthesis and bile secretion. Furthermore, strong correlations between metabolite types and bacterial genus were detected. Conclusions There were remarkable differences in the gut microbiota composition and metabolomic profile between wild and captive Chinese monals. This study has established a baseline for a normal gut microbiota and metabolomic profile for wild Chinese monals, thus allowing us to evaluate if differences seen in captive organisms have an impact on their overall health and reproduction.

scholarly journals Gut Microbiota Changes in Patients With Major Depressive Disorder Treated With Vortioxetine

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaolin Ye ◽  
Dong Wang ◽  
Huaqian Zhu ◽  
Dahai Wang ◽  
Jing Li ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Gut Microbiota ◽  
Depressive Disorder ◽  
Fecal Microbiota ◽  
Gut Microflora ◽  
Healthy Controls ◽  
Microbiota Composition ◽  
Major Depressive ◽  
Α Diversity ◽  
Gut Microbiota Composition

Vortioxetine hydrobromide is a common clinical medication for major depressive disorder (MDD). However, it remains unclear whether vortioxetine hydrobromide acts by affecting the structure and composition of gut microbiota. Here, we analyzed fecal samples from 28 healthy controls (HCs) and 26 patients with MDD before treatment with vortioxetine hydrobromide, at 4 weeks after treatment, and at 8 weeks after treatment. High-throughput pyrosequencing showed that, according to the Chao1 and Shannon indices, fecal bacterial α-diversity was higher in the patients with MDD than in the HCs (p &lt; 0.05), but no significant differences were observed after vortioxetine hydrobromide treatment (p &gt; 0.05). PCoA results revealed that the gut microbiota composition was significantly different between the MDD groups and HCs. Proteobacteria and Actinobacteria were strongly increased, whereas Firmicutes were significantly reduced in the MDD group compared with the HCs. After treatment with vortioxetine hydrobromide, Firmicutes were significantly increased, and the proportion of Bacteroidetes decreased. Most notably, Lachnospira, Roseburia, and Faecalibacterium were negatively correlated with the severity of depressive symptoms. Taken together, our data indicate changes in the fecal microbiota composition in MDD patients compared with HCs, and vortioxetine hydrobromide may treat MDD through regulation of the gut microflora.

scholarly journals Colonisation potential of plantaricin-producing Lactobacillus plantarum SF9C andS-layer-carrying Lactobacillus brevis SF9B among gut microbiota

2020 ◽  
Author(s):  
Katarina Butorac ◽  
Martina Banic ◽  
Jasna Novak ◽  
Andreja Leboš Pavunc ◽  
Ksenija Uroic ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Lactobacillus Plantarum ◽  
Lactobacillus Brevis ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Combined Application ◽  
Probiotic Potential ◽  
Gut Microbiota Composition

Abstract Background: The influence of an S-layer-carrying strain Lactobacillus brevis SF9B and a plantaricin-producing strain Lactobacillus plantarum SF9C on the gut microbiota composition was evaluated in the rats. Considering the probiotic potential of Lb. brevis SF9B, this study aimed to examine the antibacterial activity of Lb. plantarum SF9C and potential for their in vivo colonisation, which could be the basis for the investigation of their synergistic functionality. Results: A plantaricin-encoding cluster was identified in Lb. plantarum SF9C, a strain which efficiently inhibited the growth of Listeria monocytogenes ATCC®19111™ and Staphylococcus aureus 3048. Contrary to the plantaricin-producing SF9C strain, the S-layer-carrying SF9B strain excluded Escherichia coli 3014 and Salmonella enterica serovar Typhimurium FP1 from adhesion to Caco-2 cells. Finally, DGGE analysis of the V2-V3 region of the 16S rRNA gene confirmed the transit of two selected lactobacilli through the gastrointestinal tract (GIT). Microbiome profiling via the Illumina MiSeq platform revealed the prevalence of Lactobacillus spp. in the gut microbiota of rats suggesting their colonisation potential in GIT.Conclusion: The combined application of Lb. plantarum SF9C and Lb. brevis SF9B could influence the intestinal microbiota composition, which is reflected through the increased abundance of Lactobacillus genus, but also through altered abundances of other bacterial genera, either in the model of healthy or aberrant microbiota of rats. The obtained results contributed to the functional aspects of SF9C and SF9B strains which could be incorporated in the probiotic-containing functional foods and therefore have a beneficial influence on the gut microbiota composition.

scholarly journals Ontogenetic Differences in Dietary Fat Influence Microbiota Assembly in the Zebrafish Gut

mBio ◽  
2015 ◽  
Vol 6 (5) ◽  
Author(s):  
Sandi Wong ◽  
W. Zac Stephens ◽  
Adam R. Burns ◽  
Keaton Stagaman ◽  
Lawrence A. David ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Microbial Communities ◽  
Dietary Fat ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Ideal Model ◽  
Surrounding Environment ◽  
Animal Hosts ◽  
The Relationship ◽  
Gut Microbiota Composition

ABSTRACT Gut microbiota influence the development and physiology of their animal hosts, and these effects are determined in part by the composition of these microbial communities. Gut microbiota composition can be affected by introduction of microbes from the environment, changes in the gut habitat during development, and acute dietary alterations. However, little is known about the relationship between gut and environmental microbiotas or about how host development and dietary differences during development impact the assembly of gut microbiota. We sought to explore these relationships using zebrafish, an ideal model because they are constantly immersed in a defined environment and can be fed the same diet for their entire lives. We conducted a cross-sectional study in zebrafish raised on a high-fat, control, or low-fat diet and used bacterial 16S rRNA gene sequencing to survey microbial communities in the gut and external environment at different developmental ages. Gut and environmental microbiota compositions rapidly diverged following the initiation of feeding and became increasingly different as zebrafish grew under conditions of a constant diet. Different dietary fat levels were associated with distinct gut microbiota compositions at different ages. In addition to alterations in individual bacterial taxa, we identified putative assemblages of bacterial lineages that covaried in abundance as a function of age, diet, and location. These results reveal dynamic relationships between dietary fat levels and the microbial communities residing in the intestine and the surrounding environment during ontogenesis. IMPORTANCE The ability of gut microbiota to influence host health is determined in part by their composition. However, little is known about the relationship between gut and environmental microbiotas or about how ontogenetic differences in dietary fat impact gut microbiota composition. We addressed these gaps in knowledge using zebrafish, an ideal model organism because their environment can be thoroughly sampled and they can be fed the same diet for their entire lives. We found that microbial communities in the gut changed as zebrafish aged under conditions of a constant diet and became increasingly different from microbial communities in their surrounding environment. Further, we observed that the amount of fat in the diet had distinct age-specific effects on gut community assembly. These results reveal the complex relationships between microbial communities residing in the intestine and those in the surrounding environment and show that these relationships are shaped by dietary fat throughout the life of animal hosts.

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