Colonic Mucosa-associated Mycobiota in Individuals With Normal Colons

Abstract To characterize the spatial variation of the mucosa-associated adherent mycobiota along the large intestine in individuals with a normal-colon, we performed eukaryotic rRNA operon’s internal transcribed spacer-2 sequencing to profile fungal community composition and structure in 70 mucosal biopsies taken from the cecum, ascending, transverse, descending colon, and rectum of 14 polyp-free individuals. The bacteriome of these samples was previously characterized by sequencing the V4 region of the 16S rRNA gene. We identified 64 amplicon sequence variants (ASVs) with the relative abundance no less than 0.05% from these colonic mucosa samples. Each individual has a unique community composition of the gut mycobiome (P = 0.001 for beta diversity). Alpha-diversity and beta-diversity did not differ significantly across the colon segments. The most common phyla (relative abundance) were Ascomycota (45.4%) and Basidiomycota (45.3%). The most common genera were Malassezia (28.2%) and Candida (13.4%). Malassezia was found in 13 of 14 individuals. Other fungi genera were sporadically found in the large intestine. The most common species were Malassezia restricta (22.7%), Candida albicans (11.9%), Malasseziales sp. (8.80%), unclassified fungi (7.80%), and Penicillium paneum (5.70%). Malasseziaceae was co-abundant with Enterobacteriaceae and co-exclusive with Barnesiellaceae, Rikenellaceae, and Acidaminococcaceae. Malassezia was widely colonized whereas other fungal genera were sporadically colonized in the large intestine. The physiologic and pathogenic functions of fungi in human gastrointestinal tract including Malasseziaceae that may interact with several bacterial families remain to be fully elucidated.

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Vaginal bacterial community composition and concentrations of estradiol at the time of artificial insemination in Brangus heifers

Journal of Animal Science ◽

10.1093/jas/skaa178 ◽

2020 ◽

Vol 98 (6) ◽

Cited By ~ 1

Author(s):

Riley D Messman ◽

Zully E Contreras-Correa ◽

Henry A Paz ◽

George Perry ◽

Caleb O Lemley

Keyword(s):

Bacterial Community ◽

Community Composition ◽

Artificial Insemination ◽

Beta Diversity ◽

Bacterial Community Composition ◽

Alpha Diversity ◽

Species Level ◽

Rrna Gene ◽

Microbial Composition ◽

Vaginal Tract

Abstract The knowledge surrounding the bovine vaginal microbiota and its implications on fertility and reproductive traits remains incomplete. The objective of the current study was to characterize the bovine vaginal bacterial community and estradiol concentrations at the time of artificial insemination (AI). Brangus heifers (n = 78) underwent a 7-d Co-Synch + controlled internal drug release estrus synchronization protocol. At AI, a double-guarded uterine culture swab was used to sample the anterior vaginal tract. Immediately after swabbing the vaginal tract, blood samples were collected by coccygeal venipuncture to determine concentrations of estradiol. Heifers were retrospectively classified as pregnant (n = 29) vs. nonpregnant (n = 49) between 41 and 57 d post-AI. Additionally, heifers were classified into low (1.1 to 2.5 pg/mL; n = 21), medium (2.6 to 6.7 pg/mL; n = 30), and high (7.2 to 17.6 pg/mL; n = 27) concentration of estradiol. The vaginal bacterial community composition was determined through sequencing of the V4 region from the 16S rRNA gene using the Illumina Miseq platform. Alpha diversity was compared via ANOVA and beta diversity was compared via PERMANOVA. There were no differences in the Shannon diversity index (alpha diversity; P = 0.336) or Bray–Curtis dissimilarity (beta diversity; P = 0.744) of pregnant vs. nonpregnant heifers. Overall, bacterial community composition in heifers with high, medium, or low concentrations of estradiol did not differ (P = 0.512). While no overall compositional differences were observed, species-level differences were present within pregnancy status and estradiol concentration groups. The implications of these species-level differences are unknown, but these differences could alter the vaginal environment thereby influencing fertility and vaginal health. Therefore, species-level changes could provide better insight rather than overall microbial composition in relation to an animal’s reproductive health.

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Effects of green manure of wild rocket (Diplotaxis tenuifolia L.) on cucumber rhizosphere fungal community

Allelopathy Journal ◽

10.26651/allelo.j/2021-53-1-1330 ◽

2021 ◽

Vol 53 (1) ◽

pp. 93-100

Author(s):

X.H. Zhang ◽

H.L Xie ◽

Y.Y. Wang ◽

X.G. Zhou

Keyword(s):

Community Composition ◽

Relative Abundance ◽

Fungal Community ◽

Green Manure ◽

Alpha Diversity ◽

Amplicon Sequencing ◽

Fungal Community Composition ◽

Cucumis Sativus L ◽

Manure Treatment ◽

Wild Rocket

In pot culture, we evaluated the effects of green manure of wild rocket (Diplotaxis tenuifolia (L.) DC.) on cucumber (Cucumis sativus L.) rhizosphere fungal community composition. Cucumber rhizosphere fungal composition was analyzed by high-throughput amplicon sequencing of fungal ITS regions. Results showed that cucumber seedling rhizosphere fungal community composition was different between the fallow treatment and green manure treatment. However, green manure treatment did not affect the cucumber seedlings fungal community alpha diversity. Compared with the fallow treatment, cucumber grown in green manure of wild rocket had higher relative abundance of phylum Ascomycota but lower relative abundance of phylum Zygomycota. Moreover, green manure of wild rocket decreased operational taxonomic units (OTUs) classified as Pseudallescheria and Kernia spp. but increased OTUs classified as Humicola and Fusarium spp. in cucumber rhizosphere.

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Feline conjunctival microbiota in a shelter: effects of time, upper respiratory disease and famciclovir administration

Journal of Feline Medicine and Surgery ◽

10.1177/1098612x20949038 ◽

2020 ◽

pp. 1098612X2094903

Author(s):

Danica R Lucyshyn ◽

David J Maggs ◽

Ann E Cooper ◽

Joyce D Rousseau ◽

J Scott Weese

Keyword(s):

Respiratory Disease ◽

Relative Abundance ◽

Ocular Surface ◽

Beta Diversity ◽

Alpha Diversity ◽

Taxonomic Diversity ◽

Rrna Gene ◽

Alpha And Beta Diversity ◽

Treatment Groups ◽

Upper Respiratory

Objectives The aim of this study was to evaluate changes in the conjunctival microbiota of shelter-housed cats with time, upper respiratory disease (URD) and famciclovir administration. Methods Cats were assigned to treatment groups on shelter entry. Healthy cats or cats with URD received ~30 mg/kg or ~90 mg/kg of famciclovir or placebo PO q12h for 7 days, or were untreated. Swabs were collected from ventral conjunctival fornices prior to (day 1) and immediately after (day 8) the treatment period. Microbiota analysis was conducted on 124 randomly selected swabs from healthy (56 swabs) or URD-affected (68 swabs) cats. Following DNA extraction and amplification of the V4 region of the 16S rRNA gene, sequences were assembled into operational taxonomic units (OTUs). Over-represented OTUs (as determined by linear discriminate analysis effect size), alpha and beta diversity, and median relative abundance of known feline ocular surface pathogens were assessed for the entire population and in 10 clinically relevant subpopulations of cats. Results Bacteria from 33 phyla and 70 genera were identified. Considering all cats, median relative abundance of Mycoplasma increased from day 1 to day 8, while Proteobacteria decreased. Community membership and structure (beta diversity) differed between days 1 and 8 for all famciclovir-treated cats (regardless of health status or dose) and healthy or URD-affected cats (regardless of famciclovir dose). Differences in taxonomic diversity within a sample (alpha diversity) between day 1 and day 8 were not detected in any subpopulations. Conclusions and relevance Within 1 week of shelter entry, there were significant changes in community structure and membership of the feline conjunctival microbiota, with a shift towards over-representation of feline ocular surface pathogens. Although famciclovir may impact beta diversity of the feline conjunctival microbiota, absence of change in alpha diversity suggests minimal shift in individual cats.

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Evaluation of the gut microbiome in association with biological signatures of inflammation in murine polytrauma and shock

Scientific Reports ◽

10.1038/s41598-021-85897-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Sandra A. Appiah ◽

Christine L. Foxx ◽

Dominik Langgartner ◽

Annette Palmer ◽

Cristian A. Zambrano ◽

...

Keyword(s):

Gut Microbiota ◽

Community Composition ◽

Gut Microbiome ◽

Beta Diversity ◽

Microbial Community Composition ◽

Alpha Diversity ◽

Global Changes ◽

Rrna Gene ◽

Alpha And Beta Diversity ◽

Increased Risk

AbstractSevere injuries are frequently accompanied by hemorrhagic shock and harbor an increased risk for complications. Local or systemic inflammation after trauma/hemorrhage may lead to a leaky intestinal epithelial barrier and subsequent translocation of gut microbiota, potentially worsening outcomes. To evaluate the extent with which trauma affects the gut microbiota composition, we performed a post hoc analysis of a murine model of polytrauma and hemorrhage. Four hours after injury, organs and plasma samples were collected, and the diversity and composition of the cecal microbiome were evaluated using 16S rRNA gene sequencing. Although cecal microbial alpha diversity and microbial community composition were not found to be different between experimental groups, norepinephrine support in shock animals resulted in increased alpha diversity, as indicated by higher numbers of distinct microbial features. We observed that the concentrations of proinflammatory mediators in plasma and intestinal tissue were associated with measures of microbial alpha and beta diversity and the presence of specific microbial drivers of inflammation, suggesting that the composition of the gut microbiome at the time of trauma, or shortly after trauma exposure, may play an important role in determining physiological outcomes. In conclusion, we found associations between measures of gut microbial alpha and beta diversity and the severity of systemic and local gut inflammation. Furthermore, our data suggest that four hours following injury is too early for development of global changes in the alpha diversity or community composition of the intestinal microbiome. Future investigations with increased temporal-spatial resolution are needed in order to fully elucidate the effects of trauma and shock on the gut microbiome, biological signatures of inflammation, and proximal and distal outcomes.

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Effect of Bovine MFGM and LF in Infant Formula on Gut Microbiome and Metabolome at Four Months of Age

Current Developments in Nutrition ◽

10.1093/cdn/nzab027 ◽

2021 ◽

Author(s):

Maciej Chichlowski ◽

Nicholas Bokulich ◽

Cheryl L Harris ◽

Jennifer L Wampler ◽

Fei Li ◽

...

Keyword(s):

Infant Formula ◽

Beta Diversity ◽

Milk Fat ◽

Alpha Diversity ◽

Illumina Miseq ◽

Rrna Gene ◽

Term Infants ◽

Linear Discriminant ◽

Alpha And Beta Diversity ◽

Metabolite Profiles

Abstract Background Milk fat globule membrane (MFGM) and lactoferrin (LF) are human milk bioactive components demonstrated to support gastrointestinal (GI) and immune development. Significantly fewer diarrhea and respiratory-associated adverse events through 18 months of age were previously reported in healthy term infants fed a cow's milk-based infant formula with added source of bovine MFGM and bovine LF through 12 months of age. Objectives To compare microbiota and metabolite profiles in a subset of study participants. Methods Stool samples were collected at Baseline (10–14 days of age) and Day 120 (MFGM + LF: 26, Control: 33). Bacterial community profiling was performed via16S rRNA gene sequencing (Illumina MiSeq) and alpha and beta diversity were analyzed (QIIME 2). Differentially abundant taxa were determined using Linear discriminant analysis effect size (LefSE) and visualized (Metacoder). Untargeted stool metabolites were analyzed (HPLC/mass spectroscopy) and expressed as the fold-change between group means (Control: MFGM + LF ratio). Results Alpha diversity increased significantly in both groups from baseline to 4 months. Subtle group differences in beta diversity were demonstrated at 4 months (Jaccard distance; R2 = 0.01, P = 0.042). Specifically, Bacteroides uniformis and Bacteroides plebeius were more abundant in the MFGM + LF group at 4 months. Metabolite profile differences for MFGM + LF vs Control included: lower fecal medium chain fatty acids, deoxycarnitine, and glycochenodeoxycholate, and some higher fecal carbohydrates and steroids (P < 0.05). After applying multiple test correction, the differences in stool metabolomics were not significant. Conclusions Addition of bovine MFGM and LF in infant formula was associated with subtle differences in stool microbiome and metabolome by four months of age, including increased prevalence of Bacteroides species. Stool metabolite profiles may be consistent with altered microbial metabolism. Trial registration: https://clinicaltrials.gov/ct2/show/NCT02274883).

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AB1232 ORAL DYSBIOSIS REFLECTS THE IMMUNOLOGICAL ALTERATION OF RA REGARDING TO ACPA AND HLA DRB1*SE: NAGASAKI ISLAND STUDY

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.5147 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1907.2-1907

Author(s):

Y. Tsuji ◽

M. Tamai ◽

S. Morimoto ◽

D. Sasaki ◽

M. Nagayoshi ◽

...

Keyword(s):

Beta Diversity ◽

Healthy Subjects ◽

Microbial Community Composition ◽

Alpha Diversity ◽

Enzyme Linked Immunosorbent Assay ◽

Rrna Gene ◽

Oral Microbiota ◽

Unifrac Distance ◽

Alpha And Beta Diversity ◽

The Difference

Background:Anti-citrullinated protein antibody (ACPA) production is observed in several organs even prior to the onset of rheumatoid arthritis (RA), and oral mucosa is considered to be one of the important tissues. The presence of HLA-DRB1*SE closely associates with ACPA production. Saliva is considered to reflect the oral microbiota including periodontal disease. Alteration of oral microbiota of RA becomes to be normalized by DMARDs treatment, however, the interaction of HLA-DRB1*SE, ACPA and oral microbiota of RA patients remains to be elucidated.Objectives:The Nagasaki Island Study, which had started in 2014 collaborating with Goto City, is intended for research of the preclinical stage of RA, including ACPA/HLA genotype screening and ultrasound and magnetic resonance imaging examinations in high-risk subjects. Using the samples accumulated in this cohort, we have tried to investigate the difference of oral microbiota among RA patients and healthy subjects regarding to ACPA and HLA-DRB1*SE.Methods:Blood and salivary samples were obtained from 1422 subjects out of 4276 who have participated in the Nagasaki Island Study from 2016 to 2018. ACPA positivity was 1.7 % in total. Some of RA patients resided in Goto City participated in the Nagasaki Island Study. At this point, we selected 291 subjects, who were ACPA positive non-RA healthy subjects (n=22) and patients with RA (n=33, 11 subjects were ACPA positive and 22 ACPA negative respectively) as the case, age and gender matched ACPA negative non-RA healthy subjects (n=236) as the control. ACPA was measured by an enzyme-linked immunosorbent assay, and HLA genotyping was quantified by next-generation sequencing (Ref.1). The operational taxonomic unit (OUT) analysis using 16S rRNA gene sequencing were performed. The richness of microbial diversity within-subject (alpha diversity) was scaled via Shannon entropy. The dissimilarity between microbial community composition was calculated using Bray-Curtis distance as a scale, and differences between groups (beta diversity) were tested by permutational multivariate analysis of variance (PERMANOVA). In addition, UniFrac distance calculated in consideration of the distance on the phylogenetic tree were performed.Results:Median age 70 y.o., % Female 58.8 %. Among RA and non-RA subjects, not alpha diversity but beta diversity was statistically significance (p=0.022, small in RA). In RA subjects, both alpha and beta diversity is small (p<0.0001), especially significant in ACPA positive RA (Figure 1). Amongt RA subjects, presence of HLA-DRB1*SE did not show the difference but the tendency of being small of alpha diversity (p=0.29).Conclusion:Our study has suggested for the first time the association of oral microbiota alteration with the presence of ACPA and HLA-DRB1*SE. Oral dysbiosis may reflect the immunological status of patients with RA.References:[1]Kawaguchi S, et al. Methods Mol Biol 2018;1802: 22Disclosure of Interests:None declared

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Association of Broiler Litter Microbiome Composition and Campylobacter Isolation

Frontiers in Veterinary Science ◽

10.3389/fvets.2021.654927 ◽

2021 ◽

Vol 8 ◽

Author(s):

Robert Valeris-Chacin ◽

Maria Pieters ◽

Haejin Hwang ◽

Timothy J. Johnson ◽

Randall S. Singer

Keyword(s):

Beta Diversity ◽

Conditional Logistic Regression ◽

Statistical Significance ◽

Alpha Diversity ◽

Rrna Gene ◽

Campylobacter Coli ◽

Broiler Litter ◽

Logistic Regression Models ◽

Microbiome Composition ◽

Broiler House

Infection with Campylobacter species is one of the leading causes of bacterial diarrhea in humans in the US. Chickens, which become colonized on the farm, are important reservoirs of this bacterium. Campylobacter can establish itself in the broiler house via a variety of sources, can survive in the litter of the house, and possibly persist over successive flock cycles. However, the role of the broiler litter microbiome on Campylobacter persistence is not clear. A matched case-control study was conducted to determine whether the broiler litter microbiome composition was associated with Campylobacter isolation within the broiler house. Flocks were classified as cases when either Campylobacter jejuni or Campylobacter coli was isolated in boot sock samples, or as controls otherwise. Case and control flocks were matched at the broiler house level. Composite broiler litter samples were collected and used for DNA extraction and 16S rRNA gene V4 region sequencing. Reads were processed using the DADA2 pipeline to obtain a table of amplicon sequence variants. Alpha diversity and differential bacterial relative abundance were used as predictors of Campylobacter isolation status in conditional logistic regression models adjusting for flock age and sampling season. Beta diversity distances were used as regressors in stratified PERMANOVA with Campylobacter isolation status as predictor, and broiler house as stratum. When Campylobacter was isolated in boot socks, broiler litter microbiome richness and evenness were lower and higher, respectively, without reaching statistical significance. Campylobacter isolation status significantly explained a small proportion of the beta diversity (genus-level Aitchison dissimilarity distance). Clostridium and Anaerostipes were positively associated with Campylobacter isolation status, whereas Bifidobacterium, Anaerosporobacter, and Stenotrophomonas were negatively associated. Our results suggest the presence of bacterial interactions between Campylobacter and the broiler litter microbiome. The negative association of Campylobacter with Bifidobacterium, Anaerosporobacter, and Stenotrophomonas in litter could be potentially exploited as a pre-harvest control strategy.

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O-143 Characterization of vaginal and endometrial microbiome in patients with chronic endometritis (CE)

Human Reproduction ◽

10.1093/humrep/deab127.011 ◽

2021 ◽

Vol 36 (Supplement_1) ◽

Author(s):

P LOZANO ◽

A Bernabeu ◽

B Lledó ◽

R Morales ◽

F I Aranda ◽

...

Keyword(s):

16S Rrna ◽

Embryo Transfer ◽

Relative Abundance ◽

Beta Diversity ◽

Alpha Diversity ◽

Shannon Index ◽

Small Sample ◽

Diagnostic Methods ◽

Vaginal Microbiome ◽

Chronic Endometritis

Abstract Study question Could vaginal and endometrial microbiome by sequencing 16S rRNA be comparable to classic diagnostic methods or immunohistochemistry CD138 for diagnosis of chronic endometritis? Summary answer A characteristic endometrial and vaginal microbiome is present in patients with chronic endometritis. An abnormal vaginal microbiome correlates with the presence of chronic endometritis. What is known already Chronic endometritis is a disease characterized by persistent inflammation of the endometrial lining. Currently, histopathological evaluation by immunohistochemistry CD138 marker is most common diagnostic method for CE. Microbiome analysis based on subunit 16S rRNA sequencing is a fast tool that can enable the identification of pathogenic microorganisms associated with CE. The main bacteria at vaginal and endometrial level belong to genus Lactobacillus, producers of lactic acid that allows maintaining acidic pH of vagina and acts as barrier against pathogens. Investigations on the effect of an abnormal endometrial and vaginal microbiome could improve assisted reproductive technologies. Study design, size, duration This is a observational pilot study (60 patients and 120 samples). The study population consists of patients attending to our fertility clinic for frozen euploid embryo transfer (FET) from May 2017 to May 2019. Preimplantation Genetic Testing of aneuploidy (PGT-A) was performed at blastocyst stage using Veriseq (Illumina). The inclusion criteria to be meet by patients were: age between 18 and 50 years, own or donated oocytes and use of ICSI. Participants/materials, setting, methods Cohort study with sixty patients undergoing assisted reproductive treatment (TRA) with their own or donated gametes and PGT-A Vaginal and endometrial samples were taken in the cycle prior to embryo transfer. The vaginal and endometrial microbiome was analyzed by mass sequencing of the V3V4 region of 16S rRNA. Bioinformatics analysis was performed using QIIME2 and MicrobiomeAnalyst packages. Alpha, beta diversity and taxonomic characterization were compared with positive and negative CD138 groups for chronic endometritis (CE). Main results and the role of chance Different bacterial communities were detected when vaginal and endometrial samples were analyzed in patients with and without endometritis diagnosed with CD138 immunohistochemistry. In patients with endometritis, a higher alpha diversity index tendency was found in vaginal samples (p = 0.15 for the Shannon index) and significant differences in endometrial samples (p = 0.01 for the Shannon index). In the beta diversity analysis, no significant differences were observed between the groups established as per the diagnosis of endometritis. Vaginal and endometrial samples from women with endometritis showed a microbiome pattern not dominated by Lactobacillus spp. Relative abundance analysis identified the genera Ralstonia and Gardnerella in endometrial sample, and the genera Streptoccoccus and Ureaplasma in vaginal sample of patients diagnosed with CD138 for endometritis. Comparing endometrial and vaginal samples CD138 positive diagnosed for endometritis, alpha diversity (p = 0.06 for the Shannon index and p = 0.08 for the Simpson index) and beta diversity (p < 0.001) showed significant differences. Relative abundance identified the genera Lactobacillus (p = 3.76E-4), Ralstonia (p = 8.19E-4), Delftia (p = 0.004) and Anaerobacillus (p = 0.004) in these sample groups. Limitations, reasons for caution The main limitation of this study is the small sample size. Larger studies including a higher number of samples are needed to confirm the different microbiome pattern observed at the vaginal and endometrial levels in correlation with chronic endometritis. The microbiome pattern has not been analyzed after treatment of CE. Wider implications of the findings Our findings suggest the existence of a characteristic vaginal and endometrial microbiota in patients with chronic endometritis. Different genera and species were identified in patients with and without endometritis depending on whether the sample was endometrial or vaginal. An abnormal vaginal microbiome appears to be strongly correlated with chronic endometritis. Trial registration number Not Applicable

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Impact of Early Life Antibiotic Exposure and Neonatal Hyperoxia on the Murine Microbiome and Lung Injury

Scientific Reports ◽

10.1038/s41598-019-51506-0 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 3

Author(s):

Melissa H. Althouse ◽

Christopher Stewart ◽

Weiwu Jiang ◽

Bhagavatula Moorthy ◽

Krithika Lingappan

Keyword(s):

Lung Injury ◽

Beta Diversity ◽

Alpha Diversity ◽

Intestinal Microbiome ◽

Rrna Gene ◽

Antibiotic Exposure ◽

Neonatal Mice ◽

Intestinal Dysbiosis ◽

Neonatal Hyperoxia

Abstract Cross talk between the intestinal microbiome and the lung and its role in lung health remains unknown. Perinatal exposure to antibiotics disrupts the neonatal microbiome and may have an impact on the preterm lung. We hypothesized that perinatal antibiotic exposure leads to long-term intestinal dysbiosis and increased alveolar simplification in a murine hyperoxia model. Pregnant C57BL/6 wild type dams and neonatal mice were treated with antibiotics before and/or immediately after delivery. Control mice received phosphate-buffered saline (PBS). Neonatal mice were exposed to 95% oxygen for 4 days or room air. Microbiome analysis was performed using 16S rRNA gene sequencing. Pulmonary alveolarization and vascularization were analyzed at postnatal day (PND) 21. Perinatal antibiotic exposure modified intestinal beta diversity but not alpha diversity in neonatal mice. Neonatal hyperoxia exposure altered intestinal beta diversity and relative abundance of commensal bacteria in antibiotic treated mice. Hyperoxia disrupted pulmonary alveolarization and vascularization at PND 21; however, there were no differences in the degree of lung injury in antibiotic treated mice compared to vehicle treated controls. Our study suggests that exposure to both hyperoxia and antibiotics early in life may cause long-term alterations in the intestinal microbiome, but intestinal dysbiosis may not significantly influence neonatal hyperoxic lung injury.

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Gut microbiota composition is associated with narcolepsy type 1

Neurology Neuroimmunology & Neuroinflammation ◽

10.1212/nxi.0000000000000896 ◽

2020 ◽

Vol 7 (6) ◽

pp. e896

Author(s):

Alexandre Lecomte ◽

Lucie Barateau ◽

Pedro Pereira ◽

Lars Paulin ◽

Petri Auvinen ◽

...

Keyword(s):

Community Structure ◽

Gut Microbiota ◽

Bacterial Communities ◽

Beta Diversity ◽

Alpha Diversity ◽

Amplicon Sequencing ◽

Rrna Gene ◽

Differential Abundance ◽

Alpha And Beta Diversity

ObjectiveTo test the hypothesis that narcolepsy type 1 (NT1) is related to the gut microbiota, we compared the microbiota bacterial communities of patients with NT1 and control subjects.MethodsThirty-five patients with NT1 (51.43% women, mean age 38.29 ± 19.98 years) and 41 controls (57.14% women, mean age 36.14 ± 12.68 years) were included. Stool samples were collected, and the fecal microbiota bacterial communities were compared between patients and controls using the well-standardized 16S rRNA gene amplicon sequencing approach. We studied alpha and beta diversity and differential abundance analysis between patients and controls, and between subgroups of patients with NT1.ResultsWe found no between-group differences for alpha diversity, but we discovered in NT1 a link with NT1 disease duration. We highlighted differences in the global bacterial community structure as assessed by beta diversity metrics even after adjustments for potential confounders as body mass index (BMI), often increased in NT1. Our results revealed differential abundance of several operational taxonomic units within Bacteroidetes, Bacteroides, and Flavonifractor between patients and controls, but not after adjusting for BMI.ConclusionWe provide evidence of gut microbial community structure alterations in NT1. However, further larger and longitudinal multiomics studies are required to replicate and elucidate the relationship between the gut microbiota, immunity dysregulation and NT1.

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