Early-life Nasal Microbiota Dynamics Relate to Longitudinal Respiratory Phenotypes in Urban Children

BACKGROUND

Five distinct respiratory phenotypes based on latent classes of longitudinal patterns of wheezing, allergic sensitization and pulmonary function measured from 0-7 years have been described in urban children.

OBJECTIVE

To determine whether distinct respiratory phenotypes associate with early-life upper respiratory microbiota development and environmental microbial exposures.

METHODS

Microbiota profiling was performed using 16S rRNA-based sequencing of nasal samples collected at 12 (n=120) or 36 (n=142) months of age and paired house dust samples collected at 3 months (12-month, N=73; 36-month, N=90) from all four centers in the Urban Environment and Childhood Asthma (URECA) cohort.

RESULTS

In these high-risk urban children, nasal microbiota increased in diversity between 12 and 36 months of age (ß= 2.04, P=0.006). Age-related changes in microbiota evenness differed significantly by respiratory phenotypes (Interaction P=0.0007) increasing most in the transient-wheeze group. At 12 months of age, respiratory illness (R2=0.055, p=0.0001) and dominant bacterial genus (R2=0.59, p=0.0001) explained variance in nasal microbiota composition and enrichment of Moraxella and Haemophilus members was associated with both transient- and high-wheeze phenotypes. By 36 months, nasal microbiota significantly associated with respiratory phenotypes (R2=0.019, P=0.0376) and Moraxella dominated microbiota associated specifically with atopy-associated respiratory phenotypes.

CONCLUSION

Nasal microbiota development over the course of early childhood and composition at three years of age associates with longitudinal respiratory phenotypes. These data provide evidence for an early-life window of airway microbiota development that is influenced by environmental microbial exposures in infancy and associated with wheeze- and atopy-associated respiratory phenotypes through 7 years of age.

Airway microbiota correlated with pulmonary exacerbation in primary ciliary dyskinesia patients

IMPORTANCE

PCD is a rare disease characterized by productive cough, rhinitis, and recurrent infections of the upper and lower airways. Because the diagnosis of PCD is often delayed, patients receive more antibiotics, experience a heavier financial burden, and have a worse prognosis; thus, it is very important to identify the pathogeny and use the correct antibiotic. In this large single-center study of PCD microbiota, we identified an outline of the bacterial microbes from the respiratory tract; furthermore, we found that the microbiota diversity in pediatric sputum was richer than that in pediatric BALF through sequencing, indicating a heterogeneous community structure. The microbiota diversity and richness were lower during pulmonary exacerbation than during pulmonary stabilization. A significantly higher abundance of Pseudomonas had a moderate distinguishing effect for lung exacerbation, which attracted more attention for the study of Pseudomonas therapy in pediatric patients with PCD.

Azithromycin Exposure Induces Transient Microbial Composition Shifts and Decreases the Airway Microbiota Resilience from Outdoor PM2.5 Stress in Healthy Adults: a Randomized, Double-Blind, Placebo-Controlled Trial

Inappropriate antibiotic prescriptions are common for patients with upper respiratory tract infections (URTIs). Few data exist regarding the effects of antibiotic administration on airway microbiota among healthy adults. We conducted a randomized, double-blind, placebo-controlled trial to characterize the airway microbiota longitudinally in healthy adults using 16S rRNA gene sequencing and quantification. Both the induced sputum and oral wash samples were collected over a 60-day period following a 3-day intervention with 500 mg azithromycin or placebo. Environmental information, including air quality data (particulate matter [PM2.5] and PM10, air quality index [AQI] values), were also collected during the study. A total of 48 healthy volunteers were enrolled and randomly assigned into two groups. Azithromycin did not alter bacterial load but significantly reduced species richness and Shannon index. Azithromycin exposure resulted in a decrease in the detection rate and relative abundance of different genera belonging to Veillonellaceae, Leptotrichia, Fusobacterium, Neisseria, and Haemophilus. In contrast, the relative abundance of taxa belonging to Streptococcus increased immediately after azithromycin intervention. The shifts in the diversity of the microbiology composition took between 14 and 60 days to recover, depending on the measure used: either UniFrac phylogenetic distance or α-diversity. Outdoor environmental perturbations, especially the high concentration of PM2.5, contributed to novel variability in microbial community composition of the azithromycin group at D30 (30 days after baseline). The network analysis found that azithromycin altered the microbial interactions within airway microbiota. The influence was still obvious at D14 when the relative abundance of most taxa had returned to the baseline level. Compared to the sputum microbiota, oral cavity microbiota had a different pattern of change over time. The induced sputum microbial data can represent the airway microbiota composition in healthy adults. Azithromycin may have transient effects in the airway microbiota of healthy adults and decrease the airway microbiota resilience against outdoor environmental stress. The influence of azithromycin on microbial interactions is noteworthy, although the airway microbiota has returned to a near-baseline level. IMPORTANCE The influence of antibiotic administration on the airway microbiota of healthy adults remains unknown. This study is a randomized, double-blind, placebo-controlled trial aiming to investigate the microbial shifts in airways after exposure to azithromycin among heathy adults. We find that azithromycin changes the airway microbial community composition of healthy adults and decreases the airway microbiota resilience against outdoor environmental stress. This study depicts the longitudinal recovery trajectory of airway microbiota after the antibiotic perturbation and may provide reference for appropriate antibiotic prescription.

The Airway Microbiota Signatures of Infection and Rejection in Lung Transplant Recipients

Infection and rejection are the two most common complications after lung transplantation (LT) and are associated with increased morbidity and mortality. We aimed to examine the association between the airway microbiota and infection and rejection in lung transplant recipients (LTRs). Here, we collected 181 sputum samples (event-free, n = 47; infection, n = 103; rejection, n = 31) from 59 LTRs, and performed 16S rRNA gene sequencing to analyze the airway microbiota. A significantly different airway microbiota was observed among event-free, infection and rejection recipients, including microbial diversity and community composition. Nineteen differential taxa were identified by linear discriminant analysis (LDA) effect size (LEfSe), with 6 bacterial genera, Actinomyces, Rothia, Abiotrophia, Neisseria, Prevotella, and Leptotrichia enriched in LTRs with rejection. Random forest analyses indicated that the combination of the 6 genera and procalcitonin (PCT) and T-lymphocyte levels showed area under the curve (AUC) values of 0.898, 0.919 and 0.895 to differentiate between event-free and infection recipients, event-free and rejection recipients, and infection and rejection recipients, respectively. In conclusion, our study compared the airway microbiota between LTRs with infection and acute rejection. The airway microbiota, especially combined with PCT and T-lymphocyte levels, showed satisfactory predictive efficiency in discriminating among clinically stable recipients and those with infection and acute rejection, suggesting that the airway microbiota can be a potential indicator to differentiate between infection and acute rejection after LT.

IMPORTANCE Survival after LT is limited compared with other solid organ transplantations mainly due to infection- and rejection-related complications. Differentiating infection from rejection is one of the most important challenges to face after LT. Recently, the airway microbiota has been reported to be associated with either infection or rejection of LTRs. However, fewer studies have investigated the relationship between airway microbiota together with infection and rejection of LTRs. Here, we conducted an airway microbial study of LTRs and analyzed the airway microbiota together with infection, acute rejection, and clinically stable recipients. We found different airway microbiota between infection and acute rejection and identify several genera associated with each outcome and constructed a model that incorporates airway microbiota and clinical parameters to predict outcome. This study highlighted that the airway microbiota was a potential indicator to differentiate between infection and acute rejection after LT.

The airway microbiota of non-small cell lung cancer patients and its relationship to tumor stage and EGFR gene mutation

BACKGROUND

Accumulating studies have suggested the airway microbiota in lung cancer patients is significantly different from that of healthy controls. However, little is known about the relationship between airway microbiota and important clinical parameters of lung cancer. In this study, we aimed to explore the association between sputum microbiota and lung cancer stage, lymph node metastasis, intrathoracic metastasis, and epidermal growth factor receptor (EGFR) gene mutation.

METHODS

The microbiota of sputum samples from 85 newly-diagnosed NSCLC patients were sequenced via 16S rRNA sequencing of the V3-V4 region. Sequencing reads were filtered using QIIME2 and clustered against UPARSE.

RESULTS

Alpha- and β-diversity was significantly different between patients in stages I to II (early stage, ES) and patients in stages III to IV (advanced stage, AS). Linear discriminant analysis Effect Size (LEfSe) identified that genera Granulicatella and Actinobacillus were significantly enriched in ES, and the genus Actinomyces was significantly enriched in AS. PICRUSt2 identified that the NAD salvage pathway was significantly enriched in AS, which was positively associated with Granulicatella. Patients with intrathoracic metastasis were associated with increased genus Peptostreptococcus and incomplete reductive TCA cycle, which was associated with increased Peptostreptococcus. Genera Parvimonas, Pseudomona and L-valine biosynthesis were positively associated with lymph node metastasis. L-valine biosynthesis was related with increased Pseudomona. Finally, the genus Parvimonas was significantly enriched in adenocarcinoma patients with EGFR mutation.

CONCLUSION

The taxonomy structure differed between different lung cancer stages. The tumor stage, intrathoracic metastasis, lymph node metastasis, and EGFR mutation were associated with alteration of specific airway genera and metabolic function of sputum microbiota.

Antibiotic Treatments During Infancy, Changes in Nasal Microbiota, and Asthma Development: Population-based Cohort Study

Background

Early-life exposures to antibiotics may increase the risk of developing childhood asthma. However, little is known about the mechanisms linking antibiotic exposures to asthma. We hypothesized that changes in the nasal airway microbiota serve as a causal mediator in the antibiotics–asthma link.

Methods

In a population-based birth-cohort study in Finland, we identified longitudinal nasal microbiota profiles during age 2–24 months using 16S rRNA gene sequencing and an unsupervised machine learning approach. We performed a causal mediation analysis to estimate the natural direct effect of systemic antibiotic treatments during age 0–11 months on risks of developing physician-diagnosed asthma by age 7 years and the natural indirect (causal mediation) effect through longitudinal changes in nasal microbiota.

Results

In our birth cohort of 697 children, 8.0% later developed asthma. Exposure to ≥2 antibiotic treatments during age 0–11 months was associated with a 4.0% increase in the absolute risk of developing asthma (absolute increase, 95% CI, .9–7.2%; P = .006). The unsupervised clustering approach identified 6 longitudinal nasal microbiota profiles. Infants with a larger number of antibiotic treatments had a higher risk of having a profile with early Moraxella sparsity (per each antibiotic treatment, adjusted RRR, 1.38; 95% CI, 1.15–1.66; P < .001). This effect of antibiotics on asthma was partly mediated by longitudinal changes in the nasal microbiota (natural indirect effect, P = .008), accounting for 16% of the total effect.

Conclusions

Early exposures to antibiotics were associated with increased risk of asthma; the effect was mediated, in part, by longitudinal changes in the nasal airway microbiota.

The Airway Pathobiome in Complex Respiratory Diseases: A Perspective in Domestic Animals

Respiratory infections in domestic animals are a major issue for veterinary and livestock industry. Pathogens in the respiratory tract share their habitat with a myriad of commensal microorganisms. Increasing evidence points towards a respiratory pathobiome concept, integrating the dysbiotic bacterial communities, the host and the environment in a new understanding of respiratory disease etiology. During the infection, the airway microbiota likely regulates and is regulated by pathogens through diverse mechanisms, thereby acting either as a gatekeeper that provides resistance to pathogen colonization or enhancing their prevalence and bacterial co-infectivity, which often results in disease exacerbation. Insight into the complex interplay taking place in the respiratory tract between the pathogens, microbiota, the host and its environment during infection in domestic animals is a research field in its infancy in which most studies are focused on infections from enteric pathogens and gut microbiota. However, its understanding may improve pathogen control and reduce the severity of microbial-related diseases, including those with zoonotic potential.

Airway Microbiota-Host Interactions Regulate Secretory Leukocyte Protease Inhibitor Levels and Influence Allergic Airway Inflammation

Homeostatic mucosal immune responses are fine-tuned by naturally evolved interactions with native microbes, and integrating these relationships into experimental models can provide new insights into human diseases. Here, we leverage a murine-adapted airway microbe, Bordetella pseudohinzii (Bph), to investigate how chronic colonization impacts mucosal immunity and the development of allergic airway inflammation (AAI). Colonization with Bph induces the differentiation of interleukin-17A (IL-17A)-secreting T-helper cells that aid in controlling bacterial abundance. Bph colonization protects from AAI and is associated with increased production of secretory leukocyte protease inhibitor (SLPI), an antimicrobial peptide with anti-inflammatory properties. These findings are additionally supported by clinical data showing that higher levels of upper respiratory SLPI correlate both with greater asthma control and the presence of Haemophilus, a bacterial genus associated with AAI. We propose that SLPI could be used as a biomarker of beneficial host-commensal relationships in the airway.

Asthma is known to be modified by airway microbes. Jaeger et al. use a murine-adapted bacterium to show that airway colonization evokes a Th17 response associated with increased SLPI, an antimicrobial peptide, and protection from lung inflammation. In people, SLPI was correlated with airway microbiota composition.

Distinct Clinical Pathology and Microbiota in Chronic Rhinosinusitis With Nasal Polyps Endotypes

OBJECTIVES/HYPOTHESIS

Eosinophilic and noneosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP and NECRSwNP) show distinguished clinical pathology, but their underlying mechanism remains unclear. We aimed to investigate the clinical, hematological, and histopathological changes in chronic rhinosinusitis with nasal polyps (CRSwNP) endotypes and its association with microbiota.

STUDY DESIGN

A comparative cross-sectional study.

METHODS

A comparative study of 46 patients with CRSwNP (34.69 ± 16.39 years old) who underwent endoscopic sinus surgery were recruited and subdivided into ECRSwNP and NECRSwNP groups based on eosinophilic tissue inflammation; 12 healthy controls were also included. A structured histopathological analysis was conducted, and complete blood count was determined in patients. Endoscopic-guided middle meatus swabs and fecal samples were collected from the patients and controls and subsequently subjected to 16S rRNA gene sequencing on Illumina MiSeq.

RESULTS

Compared to NECRSwNP, ECRSwNP showed a statistically significant increase in the computed tomography score, endoscopic score, blood eosinophil percentage, tissue eosinophil count, inflammation degree, subepithelial edema, and eosinophil aggregation. Airway microbiota communities differed among the three groups. The abundance of Moraxella and Parvimonas was significantly higher in the ECRSwNP group. Distinct microbiota dysbiosis in CRSwNP endotypes was found to be correlated with different clinical pathologies. Moreover, the gut microbiota in ECRSwNP and NECRSwNP showed dysbiosis, that is, significant decrease in the abundance of Actinobacteria in the former and significant increase in the abundance of Enterobacterales and several genera in NECRSwNP.

CONCLUSIONS

Significant clinical pathology and microbiota changes were evident in patients with ECRSwNP and NECRSwNP. Distinct microbiota dysbiosis was correlated with different clinical pathologies. Understanding these differences may improve the prognosis and treatment of chronic rhinosinusitis.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:E34-E44, 2021.

A common microbial signature is present in the lower airways of interstitial lung diseases including sarcoidosis

Background: The etiology of pulmonary sarcoidosis is not well established. Although the mechanism triggering pulmonary sarcoidosis remains to be established, inflammatory reactions seem to play an important role in this process. Objectives: The aim of this study was to define the composition of the lower airway microbiota in the bronchoalveolar lavage (BAL) of patients affected by interstitial lung diseases, including sarcoidosis, to determine whether the bacterial signature differs among these diseases. Methods: Ten patients affected by pulmonary sarcoidosis and 9 patients affected by other interstitial lung diseases were enrolled. 16S rRNA next-generation sequencing was used to study BAL microbial composition of these patients, and were also compared with already published microbial content in higher airways of such diseases. Results: Four phyla dominated the lower airway microbiota, Bacteroidetes being the most abundant phylum in both groups (56.9%). Diversity analysis showed no significant differences between the various diseases, particularly between pulmonary sarcoidosis and other interstitial lung diseases affecting lower airways. Conclusions: Our data indicate that the bacterial lower airways microbiota share the same signature and, therefore, cannot be used as a diagnostic tool to discriminate among different interstitial lung diseases, including sarcoidosis, while microbial diversity is present when considering lower or higher respiratory airways. (Sarcoidosis Vasc Diffuse Lung Dis 2018; 35: 354-362).

Airway Microbiota Dynamics Uncover a Critical Window for Interplay of Pathogenic Bacteria and Allergy in Childhood Respiratory Disease

Repeated cycles of infection-associated lower airway inflammation drive the pathogenesis of persistent wheezing disease in children. In this study, the occurrence of acute respiratory tract illnesses (ARIs) and the nasopharyngeal microbiome (NPM) were characterized in 244 infants through their first five years of life. Through this analysis, we demonstrate that >80% of infectious events involve viral pathogens, but are accompanied by a shift in the NPM toward dominance by a small range of pathogenic bacterial genera. Unexpectedly, this change frequently precedes the detection of viral pathogens and acute symptoms. Colonization of illness-associated bacteria coupled with early allergic sensitization is associated with persistent wheeze in school-aged children, which is the hallmark of the asthma phenotype. In contrast, these bacterial genera are associated with “transient wheeze” that resolves after age 3 years in non-sensitized children. Thus, to complement early allergic sensitization, monitoring NPM composition may enable early detection and intervention in high-risk children.

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Six genera dominate airway microbiota from birth to 2 years, but diversifies thereafter

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Acute respiratory illness associates with pathogenic bacteria in the airway microbiota

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Pathogenic airway bacteria may precede viral incursions and acute respiratory illness

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Colonization with pathogens predicts chronic wheeze in allergic-sensitized children

Potential Role of the Lung Microbiome in Shaping Asthma Phenotypes

The introduction of 16s ribosomal RNA sequencing as a nonculture technique has led to the discovery of the presence of microbiota in the lower airways of healthy individuals. These bacterial communities may originate from the mouth and nasopharynx or from the environment by inhalation. The microbial composition of the lower airways may be modulated by dietary factors, antibiotic therapy, and microbial infections, particularly in early life. In addition, circulatory products from gut microbiota may influence the lung microbiota to maintain mucosal immunity. Recent studies have revealed that, in asthma, the lower airway microbiota show reduced diversity and community composition that is linked to severity and inflammatory phenotype. There is also a greater prevalence of proteobacteria, including Haemophilus, in symptomatic asthma. Microbial dysbiosis may contribute to both the inception and progression of asthma in infants and children, and to corticosteroid resistance in asthma. A better understanding of the regulation of the lung and gut microbiota in asthma may pave the way for targeting microbiota to prevent and treat asthma.

Household siblings and nasal and fecal microbiota in infants

BACKGROUND

Early-life exposure to older siblings is associated with a lower risk of asthma. To date, no study has addressed the impact of having siblings on both the airway and fecal microbiota during infancy. The aim of this study was therefore to profile the nasal airway and fecal microbiota in infants, and to examine the association between having siblings and microbiota profile.

METHODS

We conducted a cross-sectional study of 105 healthy infants (aged <1 year). Using 16S rRNA gene sequencing and an unbiased clustering approach to the nasal airway and fecal samples, we identified microbiota profiles and then determined the association between having siblings and microbiome profile.

RESULTS

Overall, the median age was 3.4 months (IQR, 2.0-4.7 months); 43% had siblings in the household. Unbiased clustering of nasal airway microbiota identified three profiles: Moraxella dominant (43%), Corynebacterium/Dolosigranulum dominant (36%), and mixed (21%). Infants with siblings were more likely to have a Moraxella-dominant profile than Corynebacterium/Dolosigranulum-dominant profile (76% vs 18%), while those without siblings had the opposite pattern (18% vs 50%; P < 0.001, multivariable-adjusted). Fecal microbiota consisted of three profiles: Bifidobacterium dominant (39%), Escherichia dominant (31%), and Enterobacter dominant (30%). Infants with siblings were more likely to have a Bifidobacterium-dominant profile than Escherichia-dominant profile (49% vs 24%) while those without siblings had the opposite pattern (32% vs 37%; P = 0.04, multivariable-adjusted).

CONCLUSIONS

In this cross-sectional study, infants with siblings were more likely to have a Moraxella-dominant nasal microbiota profile and Bifidobacterium-dominant fecal microbiota profile. These findings should facilitate further investigation of the interplay between early-life environmental exposure, the microbiome, and childhood asthma.