Nasal Microbiota Research Articles

#49 Nasal microbiota differences in young infants are associated with early childhood irritability

Abstract Background The etiology and pathophysiology of childhood mental health are poorly understood. Early childhood irritability is a transdiagnostic marker that portends significant risk for subsequent mental health problems. Robust evidence demonstrates irritability can be quantified early in infancy. The early life microbiome is implicated in defining health trajectories including neurodevelopment. In contrast to the gut microbiome, however, a relationship between the infant nasal microbiome and early childhood irritability remains undefined. We sought to investigate associations between the nasal microbiota of infants <60 days of age and early childhood irritability. Method This case-control study included infants with archived respiratory nasal samples collected for routine clinical care at ≤60 days of age from an emergency department visit (1/2016-5/2019). Parents completed an online survey when children were 14-42 months of age that included questions about medical history, development, and irritability (Multidimensional Assessment of Preschool Disruptive Behavior, MAP-DB). The upper quartile of the MAP-DB Temper Loss Score was classified as high dysregulation. Additional clinical data were collected from the electronic health record. DNA extracted from archived viral media specimens were subjected to 16S rRNA gene (V3-V4 region) next generation sequencing (NGS). Ecological diversity and differential taxon analysis were performed. Results Seventy-two children were initially included, with 16 categorized as high dysregulation. The median age at nasal sample collection was 30 days (IQR 14-44), and age at parent survey was 28 months (IQR 19-31). Fifty-weight percent of the cohort was white, 6% Black, 6% Asian, 20% other, and 25% identified as Lantine ethnicity. The infants were 49% female sex, 77% were born by vaginal delivery, and 43% had a virus identified at time of nasal sample. After removal of extraction/PCR contaminants, taxa present only or at higher levels in media, and samples with <80 sequences, the final microbiota comparison dataset was n=33 children, 7 with high dysregulation. Alpha-diversity (Shannon index) was lower in the high dysregulation group (p=0.0031 pre-background taxa removal, p=0.1288 post-correction, Figure 1A-B). Of the 18 taxa that were compared, Haemophilus, Streptococcus, Staphylococcus, and Gardnerella were significantly less abundant in the high dysregulation group (false discovery corrected significance q<0.005, Figure 1C). Parasutterella was more abundant in a subset of the high dysregulation group. Conclusion Differences in the nasal microbiota of infants, decreased diversity and abundance of certain respiratory bacteria, are associated with early childhood irritability, a marker of mental health risk. Further study may provide mechanistic insights and potentially guide new risk assessment or treatment options.

The role of hypoxia in the pathophysiology of chronic rhinosinusitis.

Chronic rhinosinusitis (CRS) is a chronic inflammatory disease of the nasal cavity characterized by excessive nasal mucus secretion and nasal congestion. The development of CRS is related to pathological mechanisms induced by hypoxia. Under hypoxic conditions, the stable expression of both Hypoxia inducible factor-1 (HIF-1) α and HIF-2α are involved in the immune response and inflammatory pathways of CRS. The imbalance in the composition of nasal microbiota may affect the hypoxic state of CRS and perpetuate existing inflammation. Hypoxia affects the differentiation of nasal epithelial cells such as ciliated cells and goblet cells, induces fibroblast proliferation, and leads to epithelial-mesenchymal transition (EMT) and tissue remodeling. Hypoxia also affects the proliferation and differentiation of macrophages, eosinophils, basophils, and mast cells in sinonasal mucosa, and thus influences the inflammatory state of CRS by regulating T cells and B cells. Given the multifactorial nature in which HIF is linked to CRS, this study aims to elucidate the effect of hypoxia on the pathogenic mechanisms of CRS.

Supranutritional Selenium-Yeast Supplementation of Beef Cows during the Last Trimester of Pregnancy Results in Higher Whole-Blood Selenium Concentrations in Their Calves at Weaning, but Not Enough to Improve Nasal Microbial Diversity.

Simple SummaryWe previously showed that feeding selenium-enriched alfalfa hay to weaned beef calves diversified the nasal microbiome and improved health and growth in the feedlot, resulting in greater carcass weight and quality at slaughter. The objective of the current study was to see whether selenium supplementation of dams during various pregnancy trimesters similarly improves health and performance. Maternal supranutritional selenium supplementation during pregnancy increases selenium concentrations in calves, but is more effective the shorter the time period between maternal supplementation and assessment. Thus, calves should be fed selenium-enriched forages again at weaning in order to see a benefit in the nasal microbiome abundance and diversity, and consequently, in carcass measurements at slaughter.We previously reported that feeding Se-biofortified alfalfa hay to weaned beef calves in a preconditioning program increases whole-blood Se (WB-Se) concentrations and nasal microbiome abundance and diversity during the preconditioning period, decreases morbidity and mortality during the feedlot period, and increases carcass weight and quality at slaughter. The objective of the current study was to see whether similar improvements can be achieved through Se supplementation of dams during various pregnancy trimesters. In a two-year experimental study, 80 Angus-cross cows received once-weekly Se-yeast boluses containing 105 mg of Se, during either the first (TR-1), second (TR-2), or third (TR-3) pregnancy trimester, or were not bolused (CTR). Whole-blood Se concentrations were higher from CTR, to TR-1, to TR-2, and to TR-3 in newborn calves (all p < 0.01). At weaning, only calves from TR-3 mothers had higher WB-Se concentrations compared with calves from CTR mothers (p = 0.02), and no significant differences in nasal microbiome abundance and diversity or nasal microbiota were observed. In the feedlot period, morbidity was low, and no differences were observed. At slaughter, no differences in carcass weight and quality were observed. In conclusion, Se supplementation of pregnant cows is effective for increasing WB-Se concentration of newborn calves, and the increase can be sustained until weaning for calves born to TR-3 dams. However, the increase in WB-Se concentrations is small and does not result in beneficial changes in the nasal microbiome. Thus, calves should be fed Se-biofortified forages again at weaning in a preconditioning program in order to diversify the nasal microbiome prior to entering the feedlot.

The diagnostic value of nasal microbiota and clinical parameters in a multi-parametric prediction model to differentiate bacterial versus viral infections in lower respiratory tract infections.

BackgroundThe ability to accurately distinguish bacterial from viral infection would help clinicians better target antimicrobial therapy during suspected lower respiratory tract infections (LRTI). Although technological developments make it feasible to rapidly generate patient-specific microbiota profiles, evidence is required to show the clinical value of using microbiota data for infection diagnosis. In this study, we investigated whether adding nasal cavity microbiota profiles to readily available clinical information could improve machine learning classifiers to distinguish bacterial from viral infection in patients with LRTI.ResultsVarious multi-parametric Random Forests classifiers were evaluated on the clinical and microbiota data of 293 LRTI patients for their prediction accuracies to differentiate bacterial from viral infection. The most predictive variable was C-reactive protein (CRP). We observed a marginal prediction improvement when 7 most prevalent nasal microbiota genera were added to the CRP model. In contrast, adding three clinical variables, absolute neutrophil count, consolidation on X-ray, and age group to the CRP model significantly improved the prediction. The best model correctly predicted 85% of the ‘bacterial’ patients and 82% of the ‘viral’ patients using 13 clinical and 3 nasal cavity microbiota genera (Staphylococcus, Moraxella, and Streptococcus).ConclusionsWe developed high-accuracy multi-parametric machine learning classifiers to differentiate bacterial from viral infections in LRTI patients of various ages. We demonstrated the predictive value of four easy-to-collect clinical variables which facilitate personalized and accurate clinical decision-making. We observed that nasal cavity microbiota correlate with the clinical variables and thus may not add significant value to diagnostic algorithms that aim to differentiate bacterial from viral infections.

A High-Risk Profile for Invasive Fungal Infections Is Associated with Altered Nasal Microbiota and Niche Determinants.

It is becoming increasingly clear that the communities of microorganisms that populate the surfaces exposed to the external environment, termed microbiota, are key players in the regulation of pathogen-host cross talk affecting the onset as well as the outcome of infectious diseases. We have performed a multicenter, prospective, observational study in which nasal and oropharyngeal swabs were collected for microbiota predicting the risk of invasive fungal infections (IFIs) in patients with hematological malignancies. Here, we demonstrate that the nasal and oropharyngeal microbiota are different, although similar characteristics differentiate high-risk from low-risk samples at both sites. Indeed, similar to previously published results on the oropharyngeal microbiota, high-risk samples in the nose were characterized by low diversity, a loss of beneficial bacteria, and an expansion of potentially pathogenic taxa, in the presence of reduced levels of tryptophan (Trp). At variance with oropharyngeal samples, however, low Trp levels were associated with defective host-derived kynurenine production, suggesting reduced tolerance mechanisms at the nasal mucosal surface. This was accompanied by reduced levels of the chemokine interleukin-8 (IL-8), likely associated with a reduced recruitment of neutrophils and impaired fungal clearance. Thus, the nasal and pharyngeal microbiomes of hematological patients provide complementary information that could improve predictive tools for the risk of IFI in hematological patients.

Influence of Mycoplasma hyopneumoniae natural infection on the respiratory microbiome diversity of finishing pigs

Mycoplasma (M.) hyopneumoniae interacts with the respiratory microbiota and facilitates colonization of other pathogens. The present study investigated the pulmonary and nasal microbiota of M. hyopneumoniae-infected and M. hyopneumoniae-free pigs. Sixty-six pigs from three commercial herds were selected at the end of the finishing phase: 44 originated from two M. hyopneumoniae-positive herds and 22 from a M. hyopneumoniae-negative farm. At the slaughterhouse, samples of nasal turbinate (NT) and bronchus-alveolar lavage fluid (BALF) were collected. DNA was extracted with a commercial kit and the infection status was confirmed by qPCR. All samples from the same herd were pooled, and next-generation sequencing based on the hypervariable region V3–V4 of the 16 s bacterial rDNA was performed. Data analysis included the taxonomic analysis, Alpha diversity indexes, and Principal coordinates analysis (Pcoa) using Jaccard, Bray–Curtis, Weighted Unifrac, and Unweighted Unifrac distances. All pigs from the infected herds tested PCR positive for M. hyopneumoniae, whereas all pigs from the negative farm were negative. There was a greater diversity of microorganisms in BALF when compared to NT samples in all the farms. BALF samples from infected animals showed higher abundance of M. hyopneumoniae than NT samples and a predominance of Pasteurella multocida among the main species identified, which was also abundant in the M. hyopneumoniae-free herd. PCoa diagrams indicated that for most of the samples, dissimilarity on bacterial composition was observed, regardless of infection status and sample type. Therefore, the lung microbiota was modulated by M. hyopneumoniae infection, which could play a role in the pathogenesis of M. hyopneumoniae-disease.

Nasal Microbiome Change During and After Exacerbation in Asthmatic Children.

Airway and gut microbiota are important in asthma pathogenesis. Although several studies have revealed distinct microbiota in asthmatic airways at baseline compared to healthy controls, limited studies compared microbiota during acute exacerbation (AE) and in the recovery phase (RP) in the same asthmatic children. We aim to investigate association between microbiota and asthma status in children and explore their relationship with clinical features of asthma. We recruited 56 asthmatic children and investigated their nasal, throat, and stool microbiota during AE and in the RP. Totally, 320 samples were subjected to 16S rRNA sequencing. Although the microbial communities were clearly separated by body site, within each site the overall communities during AE and in the RP could not be distinguished. Most nasal microbiota were dominated by only one or two of six bacterial genera. The domination was associated with mite allergy and patient age only during AE but not in the RP. When moving into RP, the relative abundance of Staphylococcus increased while that of Moraxella decreased. Throat and stool microbiota were not associated with most of the clinical features. Interestingly, stool microbiota during AE was associated with ABO blood type and stool microbiota in the RP was associated with frequency of the subsequent exacerbations. In summary, the association between nasal microbiota and mite allergy only during AE suggests an altered local immunity and its interplay with nasal microbes. Our work provides a basis for studying microbes, and prevention or therapeutic strategy in childhood asthma, especially during AE.

Sow vaccination against virulent Glaesserella parasuis shapes the nasal microbiota of their offspring

Glaesserella parasuis is the etiological agent of Glässer’s disease, a common pathology in the pork industry with higher prevalence in the postweaning period. Vaccination is one of the strategies to control this disease. Here, we investigated the effect that sow vaccination against virulent strains of G. parasuis had in the nasal microbiota of their offspring. Nasal swabs from fifteen days-old piglets from vaccinated (vs-P, n = 11) and unvaccinated sows (cs-P, n = 11) were obtained and DNA was extracted for 16S amplicon sequencing. Microbiota composition was different, with lower diversity in vs-P, and a strong clustering of the groups in beta diversity analysis. Among the 1509 sequences associated to either study group, all the sequences classified as G. parasuis (10 ASVs) had lower relative abundance in the vs-P group. A list of 32 inferred metabolic pathways were statistically different between groups. A distinctive structure of the two microbial networks was detected, with modules in the cs-P not conserved in the vs-P network. In conclusion, vaccination of the sows had a large effect in the microbiota composition of their offspring that went beyond the effect on the targeted pathogen. The mechanisms underneath these changes may include alteration of the microbiota network due to the elimination of the targeted pathogen and/or immunological changes.

Age-Associated Changes of Nasal Bacterial Microbiome in Patients With Chronic Rhinosinusitis.

Age-related changes in nasal bacterial microbiota of patients with chronic rhinosinusitis (CRS) remains unclear. In this study, we aimed to identify distinct characteristics of nasal bacterial microbiota between aged and younger patients with CRS through 16S rDNA gene sequencing. Patients with CRS undergoing endoscopic sinus surgery were recruited and separated into aged (≥60 years, median age = 66 years, N = 17) and younger (<60 years, median age = 35.5 years, N = 14) patients. Diversity, bacterial composition and metabolic activities of nasal microbiota between aged and younger patients were compared. Results have shown that levels of OTUs (p = 0.0173) and microbiota diversity (all p < 0.05) decreased significantly in aged patients. The abundance of phylum Actinobacteria, and genus Corynebacterium were significantly higher in aged patients, while the abundance of phylum Bacteroidetes, Fusobacteria, and genus Fusobacterium, Peptoniphilus were significantly higher in younger patients. In addition, predicted functional profiles have revealed that 41 KEGG pathways involving in 12 metabolic pathways, 4 genetic information processing, 3 environmental information processing, 4 cellular processes, 8 organismal systems, 6 human diseases, and 4 unclassified pathways were identified. Among which, the vast majority of metabolic activities are involved in replication and repair, membrane transport, translation, and the metabolism of amino acid, carbohydrate, energy, cofactors and vitamins, and nucleotide. On the level of the thirdly bacterial metabolic pathways, purine metabolism, glycine, serine and threonine metabolism, valine, leucine and isoleucine biosynthesis, glycolysis/gluconeogenesis and phenylalanine, tyrosine and tryptophan biosynthesis are significantly up-regulated while carbon fixation pathways in prokaryotesand methane metabolism are significantly down-regulated in aged patients. Overall, our analysis revealed that age-related physiological and pathological changes on the nasal mucosal surface may alter the host immune response and be highly associated with the nasal bacterial microbiota of patients with CRS. However, future studies are needed to elucidate the causal relationship.

Seasonal airway microbiome and transcriptome interactions promote childhood asthma exacerbations

Seasonal variation in respiratory illnesses and exacerbations in pediatric populations with asthma is well described, though whether upper airway microbes play season-specific roles in these events is unknown. We hypothesized that nasal microbiota composition is seasonally dynamic and that discrete microbe-host interactions modify risk of asthma exacerbation in a season-specific manner. Repeated nasal samples from children with exacerbation-prone asthma collected during periods of respiratory health (baseline; n= 181 samples) or first captured respiratory illness (n= 97) across all seasons, underwent bacterial (16S ribosomal RNA gene) and fungal (internal transcribed spacer region 2) biomarker sequencing. Virus detection was performed by multiplex PCR. Paired nasal transcriptome data were examined for seasonal dynamics and integrative analyses. Upper airway bacterial and fungal microbiota and rhinovirus detection exhibited significant seasonal dynamics. In seasonally adjusted analysis, variation in both baseline and respiratory illness microbiota related to subsequent exacerbation. Specifically, in the fall, when respiratory illness and exacerbation events were most frequent, several Moraxella and Haemophilus members were enriched both in virus-positive respiratory illnesses and those that progressed to exacerbations. The abundance of 2 discrete bacterial networks, characteristically comprising either Streptococcus or Staphylococcus, exhibited opposing interactions with an exacerbation-associated SMAD3 nasal epithelial transcriptional module to significantly increase the odds of subsequent exacerbation (odds ratio= 14.7, 95% confidence interval= 1.50-144, P= .02; odds ratio= 39.17, 95% confidence interval= 2.44-626, P= .008, respectively). Upper airway microbiomes covary with season and with seasonal trends in respiratory illnesses and asthma exacerbations. Seasonally adjusted analyses reveal specific bacteria-host interactions that significantly increase risk of asthma exacerbation in these children.

Pet dogs as reservoir of oxacillin and vancomycin-resistant Staphylococcus spp

The aim of this study was to verify the bacterial resistance profile and detect the presence of mecA gene in Staphylococcus spp. isolated from the nasal microbiota of domiciled dogs. For this purpose 100 nasal swabs from 100 domiciled dogs were collected from the central area of the city of Umuarama (PR), along with a questionnaire answered by their owners. After the isolation all Staphylococcus spp. isolates were submitted to the diffusion disc test by the Kirby-Bauer method, and only oxacillin-resistant samples were submitted to the PCR technique to search for the mecA gene and the results were then submitted to statistical analysis to verify possible risk variables. The 100 Staphylococcus spp. and coagulase negative, among which 41 isolates were resistant to oxacillin, no samples were positive for the mecA gene presence, however, 12 resistant to vancomycin were found. It can be concluded that the domiciled dogs are carriers of Staphylococcus spp. multiresistant, being these a possible source of human contamination.

Longitudinal Changes in Early Nasal Microbiota and the Risk of Childhood Asthma

To explore the association between longitudinal changes in early nasal microbiota and the risk of developing asthma.In the study, researchers included 704 children (aged 0 to 7 years old) born in the Hospital District of Southwest Finland between January 2008 and April 2010.This was a prospective, population-based birth cohort study. Children with a qualified baseline nasal microbiota sample at 2 months old and at least 1 follow-up sample were included in the analysis. Samples were collected by using nasal and nasopharyngeal swabs. The nasal microbiota were tested by using 16S ribosomal RNA gene sequencing. An unsupervised machine learning approach was used to identify mutually exclusive, longitudinal nasal microbiota profiles. Changes in profiles between the ages of 2 to 13 months and 2 to 24 months were examined. The profile with persistent Moraxella dominance was used as the reference group because this was the largest group, a finding also supported by the literature. The primary outcome was the risk of physician-diagnosed asthma at the ages of 6.5 to 7.5 years old. The secondary outcome was the number of acute respiratory infections (ARIs) during 13 to 24 months of age. The association of the microbiota longitudinal profiles with the risk of developing asthma and rate of ARIs was measured by using multivariable logistic regression and negative binomial models.Of the 704 children in the analytic cohort, 57 (8%) developed asthma. Across all samples, the nasal airway microbiota was dominated by Moraxella, which generally increased with age. During age 2 to 13 months, 4 distinct longitudinal nasal microbiota profiles were identified: (1) persistent Moraxelladominance profile (reference group), (2) Streptococcus to Moraxella transition profile, (3) persistent Dolosigranulum and Corynebacteriaceae dominance profile, and (4) persistent Moraxella sparsity profile. During 2 to 24 months of age, an additional distinct longitudinal nasal microbiota profiles was identified: (5) a mixed longitudinal pattern profile. Overall, children with a persistent Moraxella sparsity profile were at a significantly higher risk of developing asthma (adjusted odds ratio: 2.74; 95% confidence interval: 1.20 to 6.27 for those in this profile at 2 to 13 months of age, which persisted in the 2 to 24 month profile) and had significantly higher incidence rates of ARIs (incidence rate ratio: 1.16; 95% confidence interval: 1.01 to 1.32, from 13 to 24 months of age).In this study, researchers found that, compared with the reference group (Moraxella dominant profile), children with an altered longitudinal nasal microbiota pattern (Moraxella sparsity profile) during early childhood had a higher risk of developing asthma and ARIs.This is the first study to reveal an association between longitudinal changes in early airway microbiota and later development of childhood asthma. Further efforts to develop primary prevention strategies aimed at modifying the microbiota may help to lower the incidence of childhood asthma and ARIs.

Dynamic distribution of nasal microbial community in yaks (Bos grunniens) at different ages.

The significance of microbial community structure has been extensively recognized due to its key roles in metabolism, immunity, and health maintenance. Importantly, increasing evidence indicated that the dynamic distribution of microbial community structure can be used for evaluating the health condition of host. Yaks (Bos grunniens), mainly inhabiting in high-altitude hypoxic environment, are characterized by excellent adaptability and strong resistance. Currently, it has been determined that yaks possessed the complicated gastrointestinal microbial ecosystem, whereas not much is known about the nasal microbial community structure of yaks. Therefore, this study was performed to compare and analyze the differences in nasal microbiota of yaks with different ages by high-throughput sequencing. In this study, a total of 487,168 and 486,498 high-quality sequences were achieved from YYG (1-month-old yaks) and AYG (1-year-old yaks), respectively. Additionally, 5,340 operational taxonomic units (OTUs) were identified and 657 OTUs were in common among all samples. Proteobacteria and Firmicutes were the two most predominant phyla in all samples. Moreover, Actinobacteria and Bacteroidetes were the tertiary dominant phyla in YYG and AYG, respectively. At the level of genus, Moraxella, Faucicola, and Mannheimia were the most preponderant bacterial genera in the young and adult yaks. As compared to the AYG, the proportions of Actinobacillus, Parabacteroides, and Haemophilus in the YYG were significantly increased, whereas the Rhizobacter was decreased. In conclusion, this study firstly compared and investigated the distribution of nasal microbiota in yaks with different ages. Results demonstrated that age was an important factor affecting the nasal microbiota. Moreover, the current study will provide a theoretical basis for the further study on the microbial community structure of yaks.

Deep nasal sinus cavity microbiota dysbiosis in Parkinson\u2019s disease

Olfactory dysfunction is a pre-motor symptom of Parkinson’s disease (PD) that appears years prior to diagnosis and can affect quality of life in PD. Changes in microbiota community in deep nasal cavity near the olfactory bulb may trigger the olfactory bulb-mediated neuroinflammatory cascade and eventual dopamine loss in PD. To determine if the deep nasal cavity microbiota of PD is significantly altered in comparison to healthy controls, we characterized the microbiota of the deep nasal cavity using 16S rRNA gene amplicon sequencing in PD subjects and compared it to that of spousal and non-spousal healthy controls. Correlations between microbial taxa and PD symptom severity were also explored. Olfactory microbial communities of PD individuals were more similar to those of their spousal controls than to non-household controls. In direct comparison of PD and spousal controls and of PD and non-spousal controls, significantly differently abundant taxa were identified, and this included increased relative abundance of putative opportunistic-pathobiont species such as Moraxella catarrhalis. M. catarrhalis was also significantly correlated with more severe motor scores in PD subjects. This proof-of-concept study provides evidence that potential pathobionts are detected in the olfactory bulb and that a subset of changes in the PD microbiota community could be a consequence of unique environmental factors associated with PD living. We hypothesize that an altered deep nasal microbiota, characterized by a putative pro-inflammatory microbial community, could trigger neuroinflammation in PD.

Variations in facial conformation are associated with differences in nasal microbiota in healthy dogs

BackgroundExtrinsic and intrinsic factors have been shown to influence nasal microbiota (NM) in humans. Very few studies investigated the association between nasal microbiota and factors such as facial/body conformation, age, and environment in dogs. The objectives are to investigate variations in NM in healthy dogs with different facial and body conformations. A total of 46 dogs of different age, living environment and from 3 different breed groups were recruited: 22 meso−/dolichocephalic medium to large breed dogs, 12 brachycephalic dogs and 12 terrier breeds. The nasal bacterial microbiota was assessed through sequencing of 16S rRNA gene (V1-V3 regions) amplicons.ResultsWe showed major differences in the NM composition together with increased richness and α-diversity in brachycephalic dogs, compared to meso−/dolichocephalic medium to large dogs and dogs from terrier breeds.ConclusionHealthy brachycephalic breeds and their unique facial conformation is associated with a distinct NM profile. Description of the NM in healthy dogs serves as a foundation for future researches assessing the changes associated with disease and the modulation of NM communities as a potential treatment.

Predicting the recurrence of chronic rhinosinusitis with nasal polyps using nasal microbiota.

Recent studies have revealed that the nasal microbiota in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) is profoundly altered and is correlated with systemic inflammation. However, little is known regarding whether the microbiota can be utilized to predict nasal polyp recurrence. This study is aimed to determine whether altered nasal microbiota constituents could be used as biomarkers to predict CRSwNP recurrence. Nasal microbiota constituents were quantified and characterized using bacterial 16S ribosomal RNA gene sequencing. Selected features for least absolute shrinkage and selection operator regression-based predictors were the nasal microbiota community composition and CRSwNP patient clinical characteristics. The primary outcome was recurrence, which was determined post-admission. By distinguishing recurrence-associated nasal microbiota taxa and exploiting the distinct nasal microbiota abundance between patients with recurrent and non-recurrent CRSwNP, we developed a predictive classifier for the diagnosis of nasal polyps' recurrence with 91.4% accuracy. Key taxonomical features of the nasal microbiome could predict recurrence in CRSwNP patients. The nasal microbiome is an understudied source of clinical variation in CRSwNP and represents a novel therapeutic target for future prevention and treatment.

Oral, Nasal, and Gut Microbiota in Parkinson’s Disease

Parkinson’s disease (PD) is the second most frequently diagnosed neurodegenerative disease. The purpose of this study was to investigate the link between microbiota composition in important mucosal interfaces (oral, nasal, and intestinal) and PD. Sequencing was undertaken of the V4–V5 region of the 16S ribosomal RNA (rRNA) gene of the microbiome from the oral cavity, nasal cavity, and gut of 91 PD patients and 91 healthy controls. Significant differences were found in microbiota composition in the oral cavity and gut, but not the nasal cavity, between PD patients and healthy controls after adjusting for age, gender, and body mass index (BMI). More genera in the oral cavity were significantly positively correlated with clinical characteristics, such as the HAMA and HAMD rating scales. The taxa c_Clostridia, o_Clostridiales, and f_Ruminococcaceae in the gut microbiota were associated with weight and MMSE score. Furthermore, as a result of dysbiosis, there was an enrichment of ion channel-, oxidative phosphorylation-, and carbohydrate metabolism-related pathways in the oral cavity and glycolysis/gluconeogenesis- and propanoate metabolism-related pathways in the intestine. Changes in these pathways can influence metabolism and inflammation, thereby contributing to PD pathogenesis. In addition, several subnetworks containing differentially abundant microbiota in the oral cavity and gut samples from PD patients may regulate microbial composition and function in PD. Overall, our results indicate that oral and gut dysbiosis may affect PD progression and provide a basis for understanding the pathogenesis of PD and identifying potential therapeutic targets for the treatment of this disease.

Microbiota and compartment matter in the COVID-19 response.

During acute COVID-19, there is little correlation between the nose and blood in terms of antibodies or cytokines; instead, these factors are associated with nasal microbiota.

Upper Respiratory Tract Microbiome of Australian Aboriginal and Torres Strait Islander Children in Ear and Nose Health and Disease.

ABSTRACTThe objective of this study was to examine the nasal microbiota in relation to otitis media (OM) status and nose health in Indigenous Australian children. Children 2 to 7 years of age were recruited from two northern Australian (Queensland) communities. Clinical histories were obtained through parent interviews and reviews of the medical records. Nasal cavity swab samples were obtained, and the children’s ears, nose, and throat were examined. DNA was extracted and analyzed by 16S rRNA amplicon next-generation sequencing of the V3/V4 region, in combination with previously generated culture data. A total of 103 children were recruited (mean age, 4.7 years); 17 (16.8%) were healthy, i.e., normal examination results and no history of OM. The nasal microbiota differed significantly in relation to OM status and nose health. Children with historical OM had greater relative abundance of Moraxella, compared to healthy children, despite both having healthy ears at the time of swabbing. Children with healthy noses had greater relative abundance of Staphylococcus aureus, compared to those with rhinorrhea. Dolosigranulum was correlated with Corynebacterium in healthy children. Haemophilus and Streptococcus were correlated across phenotypes. Ornithobacterium was absent or was present with low relative abundance in healthy children and clustered around otopathogens. It correlated with Helcococcus and Dichelobacter. Dolosigranulum and Corynebacterium form a synergism that promotes upper respiratory tract (URT)/ear health in Indigenous Australian children. Ornithobacterium likely represents “Candidatus Ornithobacterium hominis” and in this population is correlated with a novel bacterium that appears to be related to poor URT/ear health.IMPORTANCE Recurring and chronic infections of the ear (OM) are disproportionately prevalent in disadvantaged communities across the globe and, in particular, within Indigenous communities. Despite numerous intervention strategies, OM persists as a major health issue and is the leading cause of preventable hearing loss. In disadvantaged communities, this hearing loss is associated with negative educational and social development outcomes, and consequently, poorer employment prospects and increased contact with the justice system in adulthood. Thus, a better understanding of the microbial ecology is needed in order to identify new targets to treat, as well as to prevent the infections. This study used a powerful combination of 16S rRNA gene sequencing and extended culturomics to show that Dolosigranulum pigrum, a bacterium previously identified as a candidate protective species, may require cocolonization with Corynebacterium pseudodiphtheriticum in order to prevent OM. Additionally, emerging and potentially novel pathogens and bacteria were identified.

Changes in the Nasal Microbiota of Pigs Following Single or Co-Infection with Porcine Reproductive and Respiratory Syndrome and Swine Influenza A Viruses.

Host-microbiota interactions are important in shaping immune responses that have the potential to influence the outcome of pathogen infection. However, most studies have focused on the gut microbiota and its possible association with disease outcome, while the role of the nasal microbiota and respiratory pathogen infection has been less well studied. Here we examined changes in the composition of the nasal microbiota of pigs following experimental infection with porcine reproductive and respiratory syndrome virus 2 (PRRSV-2), swine influenza A H3N2 virus (H3N2) or both viruses. DNA extracted from nasal swabs were subjected to 16S rRNA sequencing to study the composition of the nasal microbiota. Bacterial richness fluctuated in all groups, with a slight reduction in pigs singly infected with PRRSV-2 and H3N2 during the first 5 days of infection compared to uninfected controls. In contrast, nasal bacterial richness remained relatively stable after PRRSV-2/H3N2 co-infection. PRRSV-2 and H3N2, alone or in combination differentially altered the abundance and distribution of bacterial families. Single and co-infection with PRRSV-2 or H3N2 was associated with the expansion of the Neisseriaceae family. A positive correlation between H3N2 viral load and the relative abundance of the Neisseriaceae was observed. However, further mechanistic studies are required to understand the significance of the changes in specific bacterial families following these viral infections.