Human genetic associations of the airway microbiome in chronic obstructive pulmonary disease.

Little is known about the relationships between human genetics and the airway microbiome. Deeply sequenced airway metagenomics, by simultaneously characterizing the microbiome and host genetics, provide a unique opportunity to assess the microbiome-host genetic associations. Here we performed a co-profiling of microbiome and host genetics with the identification of over 5 million single nucleotide polymorphisms (SNPs) through deep metagenomic sequencing in sputum of 99 chronic obstructive pulmonary disease (COPD) and 36 healthy individuals. Host genetic variation was the most significant factor associated with the microbiome except for geography and disease status, with its top 5 principal components accounting for 12.11% of the microbiome variability. Within COPD individuals, 113 SNPs mapped to candidate genes reported as genetically associated with COPD exhibited associations with 29 microbial species and 48 functional modules (P < 1 × 10-5), where Streptococcus salivarius exhibits the strongest association to SNP rs6917641 in TBC1D32 (P = 9.54 × 10-8). Integration of concurrent host transcriptomic data identified correlations between the expression of host genes and their genetically-linked microbiome features, including NUDT1, MAD1L1 and Veillonella parvula, TTLL9 and Stenotrophomonas maltophilia, and LTA4H and Haemophilus influenzae. Mendelian randomization analyses revealed a potential causal link between PARK7 expression and microbial type III secretion system, and a genetically-mediated association between COPD and increased relative abundance of airway Streptococcus intermedius. These results suggest a previously underappreciated role of host genetics in shaping the airway microbiome and provide fresh hypotheses for genetic-based host-microbiome interactions in COPD.

Inhaler Steroid Use Changes Oral and Airway Bacterial and Fungal Microbiome Profile in Asthma Patients.

INTRODUCTION: The full spectrum of bacterial and fungal species in adult asthma and the effect of inhaled corticosteroid use is not well described. The aim was to collect mouthwash and induced sputum samples from newly diagnosed asthma patients in the pretreatment period and in chronic asthma patients while undergoing regular maintenance inhaled corticosteroid therapy, in order to demonstrate the bacterial and fungal microbiome profile. METHODS: The study included 28 asthmatic patients on inhaler steroid therapy, 25 steroid-naive asthmatics, and 24 healthy controls. Genomic DNA was isolated from induced sputum and mouthwash samples. Analyses were performed using bacterial primers selected from the 16S rRNA region for the bacterial genome and "panfungal" primers selected from the 5.8S rRNA region for the fungal genome. RESULTS: Dominant genera in mouthwash samples of steroid-naive asthmatics were Neisseria, Haemophilus, and Rothia. The oral microbiota of asthmatic patients on inhaler steroid treatment included Neisseria, Rothia, and Veillonella species. Abundant genera in induced sputum samples of steroid-naive asthma patients were Actinomyces, Granulicatella, Fusobacterium, Peptostreptococcus, and Atopobium. Sputum microbiota of asthma patients taking inhaler steroids were dominated by Prevotella and Porphyromonas. Mucor plumbeus and Malassezia restricta species were abundant in the airways of steroid-naive asthma patients. Choanephora infundibulifera and Malassezia restricta became dominant in asthma patients taking inhaled steroids. CONCLUSION: The oral and airway microbiota consist of different bacterial and fungal communities in healthy and asthmatic patients. Inhaler steroid use may influence the composition of the oral and airway microbiota.

Influence of the gut and airway microbiome on asthma development and disease.

There are ample data to suggest that early-life dysbiosis of both the gut and/or airway microbiome can predispose a child to develop along a trajectory toward asthma. Although individual studies show clear associations between dysbiosis and asthma development, it is less clear what (collection of) bacterial species is mechanistically responsible for the observed effects. This is partly due to issues related to the asthma diagnosis and the broad spectrum of anatomical sites, sample techniques, and analysis protocols that are used in different studies. Moreover, there is limited attention for potential differences in the genetics of individuals that would affect the outcome of the interaction between the environment and that individual. Despite these challenges, the first bacterial components were identified that are able to affect the transcriptional state of human cells, ergo the immune system. Such molecules could in the future be the basis for intervention studies that are now (necessarily) restricted to a limited number of bacterial species. For this transition, it might be prudent to develop an ex vivo human model of a local mucosal immune system to better and safer explore the impact of such molecules. With this approach, we might move beyond association toward understanding of causality.

Human genetics influences microbiome composition involved in asthma exacerbations despite inhaled corticosteroid treatment.

BACKGROUND: The upper-airway microbiome is involved in asthma exacerbations despite inhaled corticosteroid (ICS) treatment. Although human genetics regulates microbiome composition, its influence on asthma-related airway bacteria remains unknown. OBJECTIVE: We sought to identify genes and biological pathways regulating airway-microbiome traits involved in asthma exacerbations and ICS response. METHODS: Saliva, nasal, and pharyngeal samples from 257 European patients with asthma were analyzed. The association of 6,296,951 genetic variants with exacerbation-related microbiome traits despite ICS treatment was tested through microbiome genome-wide association studies. Variants with 1 × 10-4 

The salivary and nasopharyngeal microbiomes are associated with SARS-CoV-2 infection and disease severity.

Emerging evidence suggests the oral and upper respiratory microbiota may play important roles in modulating host immune responses to viral infection. As the host microbiome may be involved in the pathophysiology of coronavirus disease 2019 (COVID-19), we investigated associations between the oral and nasopharyngeal microbiome and COVID-19 severity. We collected saliva (n = 78) and nasopharyngeal swab (n = 66) samples from a COVID-19 cohort and characterized the microbiomes using 16S ribosomal RNA gene sequencing. We also examined associations between the salivary and nasopharyngeal microbiome and age, COVID-19 symptoms, and blood cytokines. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection status, but not COVID-19 severity, was associated with community-level differences in the oral and nasopharyngeal microbiomes. Salivary and nasopharyngeal microbiome alpha diversity negatively correlated with age and were associated with fever and diarrhea. Oral Bifidobacterium, Lactobacillus, and Solobacterium were depleted in patients with severe COVID-19. Nasopharyngeal Paracoccus was depleted while nasopharyngeal Proteus, Cupravidus, and Lactobacillus were increased in patients with severe COVID-19. Further analysis revealed that the abundance of oral Bifidobacterium was negatively associated with plasma concentrations of known COVID-19 biomarkers interleukin 17F and monocyte chemoattractant protein-1. Our results suggest COVID-19 disease severity is associated with the relative abundance of certain bacterial taxa.

Exposure to diesel exhaust alters the functional metagenomic composition of the airway microbiome in former smokers.

The lung microbiome plays a crucial role in airway homeostasis, yet we know little about the effects of exposures such as air pollution therein. We conducted a controlled human exposure study to assess the impact of diesel exhaust (DE) on the human airway microbiome. Twenty-four participants (former smokers with mild to moderate COPD (N = 9), healthy former smokers (N = 7), and control healthy never smokers (N = 8)) were exposed to DE (300 µg/m3 PM2.5) and filtered air (FA) for 2 h in a randomized order, separated by a 4-week washout. Endobronchial brushing samples were collected 24 h post-exposure and sequenced for the 16S microbiome, which was analyzed using QIIME2 and PICRUSt2 to examine diversity and metabolic functions, respectively. DE exposure altered airway microbiome metabolic functions in spite of statistically stable microbiome diversity. Affected functions included increases in: superpathway of purine deoxyribonucleosides degradation (pathway differential abundance 743.9, CI 95% 201.2 to 1286.6), thiazole biosynthesis I (668.5, CI 95% 139.9 to 1197.06), and L-lysine biosynthesis II (666.5, CI 95% 73.3 to 1257.7). There was an exposure-by-age effect, such that menaquinone biosynthesis superpathways were the most enriched function in the microbiome of participants aged >60, irrespective of smoking or health status. Moreover, exposure-by-phenotype analysis showed metabolic alterations in former smokers after DE exposure. These observations suggest that DE exposure induced substantial changes in the metabolic functions of the airway microbiome despite the absence of diversity changes.

Effects of Inhaled Corticosteroid/Long-Acting ß2-Agonist Combination on the Airway Microbiome of Patients with Chronic Obstructive Pulmonary Disease: A Randomized Controlled Clinical Trial (DISARM).

Rationale: Inhaled corticosteroids (ICS) are commonly prescribed with long-acting ß2-agonists (LABA) in chronic obstructive pulmonary disease (COPD). To date, the effects of ICS therapy on the airway microbiome in COPD are unknown. Objectives: To determine the effects of ICS/LABA on the airway microbiome of patients with COPD. Methods: Clinically stable patients with COPD were enrolled into a 4-week run-in period during which ICS was discontinued and all participants were placed on formoterol (Form) 12 µg twice daily (BID). The participants were then randomized to budesonide/formoterol (Bud + Form; 400/12 µg BID), fluticasone/salmeterol (Flu + Salm; 250/50 µg BID), or formoterol only (12 µg BID) for 12 weeks. Participants underwent bronchoscopy before and after the 12-week treatment period. The primary endpoint was the comparison of changes in the airway microbiome over the trial period between the ICS/LABA and LABA-only groups. Measurements and Main Results: Sixty-three participants underwent randomization: Bud + Form (n = 20), Flu + Salm (n = 22), and Form (n = 21) groups; 56 subjects completed all visits. After the treatment period, changes in α-diversity were significantly different across groups, especially between Flu + Salm and Form groups (Δrichness: P = 0.02; ΔShannon index: P = 0.03). Longitudinal differential abundance analyses revealed more pronounced microbial shifts from baseline in the fluticasone (vs. budesonide or formoterol only) group. Conclusions: Fluticasone-based ICS/LABA therapy modifies the airway microbiome in COPD, leading to a relative reduction in α-diversity and a greater number of bacterial taxa changes. These data may have implications in patients who develop pneumonia on ICS. Clinical trial registered with www.clinicaltrials.gov (NCT02833480).

Inflammatory Endotype-associated Airway Microbiome in Chronic Obstructive Pulmonary Disease Clinical Stability and Exacerbations: A Multicohort Longitudinal Analysis.

Rationale: Understanding the role of the airway microbiome in chronic obstructive pulmonary disease (COPD) inflammatory endotypes may help to develop microbiome-based diagnostic and therapeutic approaches. Objectives: To understand the association of the airway microbiome with neutrophilic and eosinophilic COPD at stability and during exacerbations. Methods: An integrative analysis was performed on 1,706 sputum samples collected longitudinally from 510 patients with COPD recruited at four UK sites of the BEAT-COPD (Biomarkers to Target Antibiotic and Systemic COPD), COPDMAP (Chronic Obstructive Pulmonary Disease Medical Research Council/Association of the British Pharmaceutical Industry), and AERIS (Acute Exacerbation and Respiratory Infections in COPD) cohorts. The microbiome was analyzed using COPDMAP and AERIS as a discovery data set and BEAT-COPD as a validation data set. Measurements and Main Results: The airway microbiome in neutrophilic COPD was heterogeneous, with two primary community types differentiated by the predominance of Haemophilus. The Haemophilus-predominant subgroup had elevated sputum IL-1ß and TNFα (tumor necrosis factor α) and was relatively stable over time. The other neutrophilic subgroup with a balanced microbiome profile had elevated sputum and serum IL-17A and was temporally dynamic. Patients in this state at stability were susceptible to the greatest microbiome shifts during exacerbations. This subgroup can temporally switch to both neutrophilic Haemophilus-predominant and eosinophilic states that were otherwise mutually exclusive. Time-series analysis on the microbiome showed that the temporal trajectories of Campylobacter and Granulicatella were indicative of intrapatient switches from neutrophilic to eosinophilic inflammation, in track with patient sputum eosinophilia over time. Network analysis revealed distinct host-microbiome interaction patterns among neutrophilic Haemophilus-predominant, neutrophilic balanced microbiome, and eosinophilic subgroups. Conclusions: The airway microbiome can stratify neutrophilic COPD into subgroups that justify different therapies. Neutrophilic and eosinophilic COPD are interchangeable in some patients. Monitoring temporal variability of the airway microbiome may track patient inflammatory status over time.

Pharyngeal Microbial Signatures Are Predictive of the Risk of Fungal Pneumonia in Hematologic Patients.

The ability to predict invasive fungal infections (IFI) in patients with hematological malignancies is fundamental for successful therapy. Although gut dysbiosis is known to occur in hematological patients, whether airway dysbiosis also contributes to the risk of IFI has not been investigated. Nasal and oropharyngeal swabs were collected for functional microbiota characterization in 173 patients with hematological malignancies recruited in a multicenter, prospective, observational study and stratified according to the risk of developing IFI. A lower microbial richness and evenness were found in the pharyngeal microbiota of high-risk patients that were associated with a distinct taxonomic and metabolic profile. A murine model of IFI provided biologic plausibility for the finding that loss of protective anaerobes, such as Clostridiales and Bacteroidetes, along with an apparent restricted availability of tryptophan, is causally linked to the risk of IFI in hematologic patients and indicates avenues for antimicrobial stewardship and metabolic reequilibrium in IFI.

Integration of metagenomics-metabolomics reveals specific signatures and functions of airway microbiota in mite-sensitized childhood asthma.

BACKGROUND: Childhood asthma is a multifactorial inflammatory condition of the airways, associated with specific changes in respiratory microbiome and circulating metabolome. METHODS: To explore the functional capacity of asthmatic microbiome and its intricate connection with the host, we performed shotgun sequencing of airway microbiome and untargeted metabolomics profiling of serum samples in a cohort of children with mite-sensitized asthma and non-asthmatic controls. RESULTS: We observed higher gene counts and sample-to-sample dissimilarities in asthmatic microbiomes, indicating a more heterogeneous community structure and functionality among the cases than in controls. Moreover, we identified airway microbial species linked to changes in circulating metabolites and IgE responses of the host, including a positive correlation between Prevotella sp oral taxon 306 and dimethylglycine that were both decreased in patients. Several control-enriched species (Eubacterium sulci, Prevotella pallens, and Prevotella sp oral taxon 306) were inversely correlated with total and allergen-specific IgE levels. Genes related to microbial carbohydrate, amino acid, and lipid metabolism were differentially enriched, suggesting that changes in microbial metabolism may contribute to respiratory health in asthmatics. Pathway modules relevant to allergic responses were differentially abundant in asthmatic microbiome, such as enrichments for biofilm formation by Pseudomonas aeruginosa, membrane trafficking, histidine metabolism, and glycosaminoglycan degradation, and depletions for polycyclic aromatic hydrocarbon degradation. Further, we identified metagenomic and metabolomic markers (eg, Eubacterium sulci) to discriminate cases from the non-asthmatic controls. CONCLUSIONS: Our dual-omics data reveal the connections between respiratory microbes and circulating metabolites perturbed in mite-sensitized pediatric asthma, which may be of etiological and diagnostic implications.

Composition of airway bacterial community correlates with chest HRCT in adults with bronchiectasis.

BACKGROUND AND OBJECTIVE: In bronchiectasis (BE) not caused by cystic fibrosis, chronic, polymicrobial airway infection contributes to the underlying pathogenesis of disease. There is little information on whether bacterial community composition relates to clinical status. We determined the relationship between bacterial community composition, chest high-resolution computed tomography (HRCT) scores and clinical markers in BE. METHODS: A subgroup of BE patients from a previous cross-sectional study were analysed. Spontaneously expectorated sputum was analysed using culture-independent sequencing on the Roche 454-FLX platform covering the V1-V3 region of the 16S rRNA marker gene. Chest HRCT scans, multiple breath washout, spirometry and blood inflammatory markers were collected. Spearman's rank (r) correlation coefficient was used to assess relationships. RESULTS: Data from 21 patients were analysed (mean (SD) age: 64.0 (7.7); female : male 14:7; mean (SD) forced expiratory volume in 1 s (FEV1 ): 76.5 (17.2)). All bacterial community composition metrics (bacterial richness, diversity, evenness and dominance) correlated with percentage BE score, with more severe HRCT abnormality relating to lower bacterial richness, evenness and diversity (range r = -0.47 to -0.66; P < 0.05). Inflammation (C-reactive protein and white cell count) was greater in patients with lower diversity and richness (range r = -0.44 to -0.47; P < 0.05). Bacterial community characteristics did not correlate with lung function. CONCLUSION: This is the first study to indicate a relationship between bacterial community characteristics by 16S rRNA marker gene sequencing, structural damage as determined by chest HRCT and clinical measures in BE. The association between loss of diversity and chest HRCT severity suggests that bacterial dominance with pathogenic bacteria may contribute to disease pathology.

Effects of macrolides on airway microbiome and cytokine of children with bronchiolitis: A systematic review and meta-analysis of randomized controlled trials.

Macrolides may attenuate airway inflammation of bronchiolitis with anti-inflammatory and antiviral effects. However, the potential mechanisms of action underlying the efficiency of macrolides in treating bronchiolitis are limited. Therefore, we performed a meta-analysis to assess the effects of macrolides on airway microbiome and cytokine of children with bronchiolitis. PubMed, Embase, and Cochrane Central Register of Controlled Trials were searched until May 2018. The reference lists of included studies and pertinent reviews were investigated for supplementing our search. Randomized controlled trials (RCTs) that compared macrolides with placebo assessing the change of microbiome in airway and cytokine were included. A total of four RCTs were included in this review. Data analysis showed no significant reduction of viruses at 48 hr after azithromycin treatment (p = 0.41). There were significant reductions in Streptococcus pneumoniae (risk ratio [RR] 0.28, 95% confidence interval (CI) 0.14 to 0.6, p < 0.01), Haemophilus influenza (RR 0.35, 95% CI 0.2 to 0.62, p < 0.01), and Moraxella catarrhalis (RR 0.29, 95% CI 0.17 to 0.5, p < 0.01), but no significant reduction of Staphylococcus aureus (p = 0.28) following treatment with macrolides. There was a significant decrease in the serum interleukin-8(IL-8), interleukin-4(IL-4), and eotaxin levels following 3 weeks of clarithromycin therapy. There was no significant difference in the serum IL-8 level at Day 15 after the intervention between the azithromycin and control groups; however, a significant reduction of nasal lavage IL-8 level was found. The macrolides may reduce the IL-8 levels in the airway and plasma, but failed to demonstrate an antiviral effect in children with bronchiolitis.

Airway microbiome is associated with respiratory functions and responses to ambient particulate matter exposure.

BACKGROUND: Ambient particulate matter (PM) exposure has been associated with respiratory function decline in epidemiological studies. We hypothesize that a possible underlying mechanism is the perturbation of airway microbiome by PM exposure. METHODS: During October 2016-October 2017, on two human cohorts (n = 115 in total) in Shanghai China, we systematically collected three categories of data: (1) respiratory functions, (2) airway microbiome from sputum, and (3) PM2.5 (PM of ≤ 2.5 µm in diameter) level in ambient air. We investigated the impact of PM2.5 on airway microbiome as well as the link between airway microbiome and respiratory functions using linear mixed regression models. RESULTS: The respiratory function of our primary interest includes forced vital capacity (FVC) and forced expiratory volume in 1st second (FEV1). FEV1/FVC, an important respiratory function trait and key diagnosis criterion of COPD, was significantly associated with airway bacteria load (p = 0.0038); and FEV1 was associated with airway microbiome profile (p = 0.013). Further, airway microbiome was significantly influenced by PM2.5 exposure (p = 4.48E-11). CONCLUSIONS: To our knowledge, for the first time, we demonstrated the impact of PM2.5 on airway microbiome, and reported the link between airway microbiome and respiratory functions. The results expand our understanding on the scope of PM2.5 exposure's influence on human respiratory system, and point to novel etiological mechanism of PM2.5 exposure induced diseases.

Airway microbial dysbiosis in asthmatic patients: A target for prevention and treatment?

There has been long-standing interest in the role of bacterial communities in the complex and heterogeneous disease of asthma. With the advent of 16s rRNA sequencing replacing traditional culture methods, a strong association between the presence of bacterial communities with asthma has emerged. These microbiota can be modulated by various environmental factors, including diet, antibiotics, and early-life microbial exposures. Microbiota in the gut and lungs can influence both the inception and progress of asthma. In babies and infants the presence of pathogenic bacteria in the lungs and gut has been associated with subsequent development of allergic sensitization and asthma. Lung microbiota are present in the airways of healthy subjects but are dysregulated in adults with asthma, with a reduced diversity and community composition that has been linked to severity and inflammatory phenotypes. Causality between certain gut microbiota and the development of allergic asthma has been shown in experiments conducted in neonatal mice. Manipulation of the airway microbiome, particularly in early life, might be a strategy to prevent or treat asthma, although the results of studies of probiotics used together with prebiotics have been overall negative. A better understanding of the regulation of both the lung and gut microbiota to derive appropriate targets for prevention or treatment of asthma is needed.

Airway Microbiota and the Implications of Dysbiosis in Asthma.

The mucosal surfaces of the human body are typically colonized by polymicrobial communities seeded in infancy and are continuously shaped by environmental exposures. These communities interact with the mucosal immune system to maintain homeostasis in health, but perturbations in their composition and function are associated with lower airway diseases, including asthma, a developmental and heterogeneous chronic disease with various degrees and types of airway inflammation. This review will summarize recent studies examining airway microbiota dysbioses associated with asthma and their relationship with the pathophysiology of this disease.

Preterm Infants' Airway Microbiome: A Scoping Review of the Current Evidence.

The aim of this scoping review was to investigate and synthesize existing evidence on the airway microbiome of preterm infants to outline the prognostic and therapeutic significance of these microbiomes within the preterm population and identify gaps in current knowledge, proposing avenues for future research. We performed a scoping review of the literature following the Arskey and O'Malley framework. In accordance with our inclusion criteria and the intended purpose of this scoping review, we identified a total of 21 articles. The investigation of the airway microbiome in preterm infants has revealed new insights into its unique characteristics, highlighting distinct dynamics when compared to term infants. Perinatal factors, such as the mode of delivery, chorioamnionitis, the respiratory support, and antibiotic treatment, could impact the composition of the airway microbiome. The 'gut-lung axis', examining the link between the lung and gut microbiome as well as modifications in respiratory microbiome across different sites and over time, has also been explored. Furthermore, correlations between the airway microbiome and adverse outcomes, such as bronchopulmonary dysplasia (BPD), have been established. Additional research in neonatal care is essential to understand the early colonization of infants' airways and explore methods for its optimization. The critical opportunity to shape long-term health through microbiome-mediated effects likely lies within the neonatal period.

Comparison of the upper and lower airway microbiome in early postoperative lung transplant recipients.

The upper and lower respiratory tract may share microbiome because they are directly continuous, and the nasal microbiome contributes partially to the composition of the lung microbiome. But little is known about the upper and lower airway microbiome of early postoperative lung transplant recipients (LTRs). Using 16S rRNA gene sequencing, we compared paired nasal swab (NS) and bronchoalveolar lavage fluid (BALF) microbiome from 17 early postoperative LTRs. The microbiome between the two compartments were significantly different in Shannon diversity and beta diversity. Four and eight core NS-associated and BALF-associated microbiome were identified, respectively. NS samples harbored more Corynebacterium, Acinetobacter, and Pseudomonas, while BALF contained more Ralstonia, Stenotrophomonas, Enterococcus, and Pedobacter. The within-subject dissimilarity was higher than the between-subject dissimilarity, indicating a greater impact of sampling sites than sampling individuals on microbial difference. There were both difference and homogeneity between NS and BALF microbiome in early postoperative LTRs. High levels of pathogens were detected in both samples, suggesting that both of them can reflect the diseases characteristics of transplanted lung. The differences between upper and lower airway microbiome mainly come from sampling sites instead of sampling individuals. IMPORTANCE: Lung transplantation is the only therapeutic option for patients with end-stage lung disease, but its outcome is much worse than other solid organ transplants. Little is known about the NS and BALF microbiome of early postoperative LTRs. Here, we compared paired samples of the nasal and lung microbiome from 17 early postoperative LTRs and showed both difference and homogeneity between the two samples. Most of the "core" microbiome in both NS and BALF samples were recognized respiratory pathogens, suggesting that both samples can reflect the diseases characteristics of transplanted lung. We also found that the differences between upper and lower airway microbiome in early postoperative LTRs mainly come from sampling sites instead of sampling individuals.

The Role of the Airway and Gut Microbiome in the Development of Chronic Lung Disease of Prematurity.

Chronic lung disease (CLD) of prematurity, a common cause of morbidity and mortality in preterm-born infants, has a multifactorial aetiology. This review summarizes the current evidence for the effect of the gut and airway microbiota on the development of CLD, highlighting the differences in the early colonisation patterns in preterm-born infants compared to term-born infants. Stool samples from preterm-born infants who develop CLD have less diversity than those who do not develop CLD. Pulmonary inflammation, which is a hallmark in the development of CLD, may potentially be influenced by gut bacteria. The respiratory microbiota is less abundant than the stool microbiota in preterm-born infants. There is a lack of clear evidence for the role of the respiratory microbiota in the development of CLD, with results from individual studies not replicated. A common finding is the presence of a single predominant bacterial genus in the lungs of preterm-born infants who develop CLD. Probiotic preparations have been proposed as a potential therapeutic strategy to modify the gut or lung microbiota with the aim of reducing rates of CLD but additional robust evidence is required before this treatment is introduced into routine clinical practice.