Altered respiratory microbiota composition and functionality associated with asthma early in life

Specialized microbial communities composed of bacteria, viruses and fungi termed as “respiratory microbiota” inhabit the human respiratory tract spanning from nostrils to the alveoli. The respiratory microbiota is highly dynamic, constantly evolving and influenced by multiple factors including host and environment [1, 2]. The respiratory microbiota is crucial for the maintenance of respiratory physiology and homeostasis [3]. It plays a significant role in the maturation and maintenance of respiratory immune responses and provides resistance to respiratory pathogen colonization [4]. At the same time, it has also been implicated in the structural development and morphogenesis of the respiratory tract [5, 6] as well as the development of mucosal immunity [7, 8].

The composition of the respiratory microbiota is increasingly being characterized in humans. Bacterial families Dolosigranulum spp., Corynebacterium spp. [9], viral families Anelloviridae [10, 11], and fungi such as Aspergillus spp., Penicillium spp., Candida spp., Alternaria spp. [12] populate the upper respiratory tract. Similarly, the lower respiratory tract is dominantly colonized by bacteria including Haemophilus spp., Moraxella spp., Streptococcus spp., Staphylococcus spp., Firmicutes and Bacteroidetes, and fungal families such as Eremothecium, Systenostrema and Malassezia [13‐15]. Characterization of the microbial communities residing in spatial niches along the respiratory tract is essential to elucidate the complex roles played by the respiratory microbiota in the pathogenesis of respiratory diseases.

Recent advances in our understanding of the respiratory microbiota composition and its alteration in diversity or abundance called “dysbiosis” has been linked to several chronic respiratory diseases such as asthma, cystic fibrosis, bronchiectasis, and chronic obstructive pulmonary disease [4, 16]. Asthma is a healthcare priority with significant social and economic impact on societies. Studies have linked nasopharyngeal colonization with Streptococcus spp., Moraxella spp., Haemophilus spp. Prevotella spp., and respiratory syncytial virus, early in life to the development of lower respiratory tract infections, consecutive atopic disease and future asthma [17‐19]. In particular, early asymptomatic Streptococcus colonization strongly correlated with subsequent wheezing and asthma risk. An apparent disturbance in the characteristic composition of bacterial communities was observed in asthmatic airways when compared to their healthy counterparts [20, 21]. The bronchial airway microbiota composition and diversity significantly correlated with the degree of bronchial hyperresponsiveness in suboptimally controlled asthmatics [22]. Higher abundance of Proteobacteria is frequently observed in asthma patients [20, 22]. Bronchial microbiota also shows variations across the different endotypes of asthma [23]. Furthermore, the airway expansion of specific genera of gram-negative bacteria was noticed to induce corticosteroid resistance in asthmatic patients, indicating that the composition of airway microbiota may influence corticosteroid responsiveness in asthma [24].

The precise understanding of the composition of the respiratory microbiota, the mechanisms by which these microbes interact with host immunity, and their functional effects on the pathogenesis, exacerbations, and comorbidities of chronic respiratory diseases such as asthma is still unclear and need factual elucidation. Further, we are still unsure how the structural ligands and metabolites from these microbes interact with the host and alter the development and progression of respiratory diseases. Here, we investigated the composition, diversity and functionality of respiratory microbiome in a cohort of pediatric and adult asthmatic patients using sputum samples. We further, characterized the alterations in respiratory microbiota with age especially among the asthmatic population.

Hospital Ethics and Research Committee, a local research ethics committee at the University Hospital Sharjah, UAE approved the study protocol (REC number: UHS-HERC- 039 -09042018). All subjects participating in the study supplied informed consent.

In this case control study, we collected 40 spontaneous expectorated sputum samples from Emirati citizens. Spontaneous coughed up sputum (expectorated phlegm/mucous) was the first preference of sample collection whenever possible in all subjects. The subjects were provided with a labelled sputum container. They were asked to take a deep breath, hold for a few seconds, exhale, repeat two or three times, and then cough: sputum was collected after a productive cough. Sputum induction was sometimes used in subjects especially in children when sputum could not be expectorated spontaneously. Sputum induction was performed under close medical supervision with nebulization and nasopharyngeal suction. Expectorated sputum was collected in a sterile container stored immediately into liquid nitrogen and then transferred to − 80 °C for further analysis. DNA extraction, PCR, Sequencing and Sequence processing were analyzed as described in supplementary document.

Information on the characteristics of the subjects in this study such as age, gender, body mass index (BMI), ethnicity, and animal exposure among others has been provided (Table 1).

We have also assessed asthma symptoms by collecting a patient-completed Asthma Control Test (ACT) questionnaire as previously described, scoring < 16 as uncontrolled, 16–19 as partially controlled, and 20–25 as controlled [25]. In summary, participants were residents of Sharjah, UAE. Asthma patients were defined as those individuals who had a current diagnosis of asthma, for example, by being on the outpatient asthma clinics registrar. Most of the asthma patients were on inhaled corticosteroids and scoring on average 18 per ACT. Controls were defined as individuals who on questioning did not report having current or previous asthma, eczema or hay fever. Use of antibiotics and/or prescribed probiotics in the past 3 months, any form of smoking, other respiratory diseases or infections among the participants were the exclusion criteria used in this study (Table 1).

In this study, we explored the composition and functional contribution of respiratory microbiota in asthmatics and their possible role with relation to ACT scores and asthma medication in adult and pediatric age groups. First, we observed that respiratory microbiota of asthmatic subjects showed lower levels of richness and complexity compared to healthy subjects. Consistent with our findings, previous reports have suggested a strong effect for asthma on lung microbiota composition [30, 31]; however, very little has been reported on the role of fungal lung microbiota (mycobiota) in asthma. Here, we conducted a post-hoc pairwise test of different groups (asthmatic and healthy) and noted an intriguing uniformity in the expectorated sputum fungal composition between adult and pediatric asthma groups (p.adjusted > 0.129) (Table 2). This may suggest an important role for lung mycobiota in driving these compositional changes and their contribution to asthma pathogenesis in early life that persist with age. Indeed, colonization patterns in infancy seem to be a major determinant of respiratory disease later in life [4]. Perhaps fungal presence induces changes in the lung micro-environmental conditions that subsequently drives this compositional shift among bacterial communities to compensate. For example, enrichment of Moraxella species in asthmatic airways was found to interact negatively with multiple bacterial communities but positively with fungal communities suggesting complex interactions between the bacterial and fungal communities that may contribute to asthma pathogenesis [32] That said, it is important to note that limited fungal genome database may also explain the identified similarity between adult and pediatric groups. For example, recent check (July, 2020) of the NCBI Genome database https://​www.​ncbi.​nlm.​nih.​gov/​genome/​browse#!/​eukaryotes/​fungi shown 6570 complete fungal genomes compared with > 252,000 complete bacterial genomes. Altogether, these observations are interesting to identify those microbial populations that are more abundant in asthma and to further understand their relevance to asthma pathogenesis and host immune interactions. Next, we identified significant relative abundances of Bacteroidetes, Firmicutes, Fusobacteria and Proteobacteria phyla in asthmatics (Fig. 2). Further and consistent with previous study, we noted significant abundance of Malassezia spp. and Candida spp. in asthmatic groups [15]. We also showed abundance in Streptococcus spp., Moraxella spp. among other fungi in Pediatric Asthma group, and consistent with a previous study that links nasopharyngeal colonization with these species during early life to the development of lower respiratory tract infections, consecutive atopic disease and future asthma [17]. Moreover, we unraveled for the first time a staggering depletion of unclassified fungi in asthmatic groups and irrespective of age (Fig. 2b). These fungi, as eukaryotes, probably contribute through unique metabolic pathways to microbial equilibrium and host interactions to protect against asthma development.

Third, differential abundance testing with relation to asthmatic medications used or ACT score variables unveiled a significant depletion of Penicillium aethiopicum and Alternaria spp., in poorly controlled subjects (low ACT scores) (Fig. 3c). Previous studies indicated that indoor exposure to Penicillium spp., and Alternaria spp., is associated with active asthma symptoms [33‐35]. Further, the richness and composition of respiratory microbiota of asthmatic patients were found to be significantly altered by inhaled and oral corticosteroid use [22, 36, 37]. On the other hand, the airway microbiome can also influence the corticosteroid responsiveness in asthma. A study by Goleva et al., noted expansion of the pathogenic Haemophilus parainfluenzae in corticosteroid-resistant asthma, and stimulation of bronchoalveolar lavage (BAL) macrophages with H. parainfluenzae promoted the activation of MAPK pathway and subsequent inhibition of corticosteroid responses, in contrast to commensal Prevotella melaninogenica [24]. However, little is known about the leukotriene receptor antagonists (LTRA) correlation with microbiota in asthma. Here, we report for the first-time differences of nine bacterial OTUs and three fungal OTUs when treated with steroids and LTRA in contrast to treatment with steroids alone (Fig. 3b, d). Interestingly, we demonstrate expansion of Malassezia spp., unclassified fungi, and genre belonging to unclassified Fusobacteria and unclassified Prevotella in the airways of those receiving steroids and LTRA combination therapy. These data can be useful to provide screening biomarkers to predict responsiveness to asthma management.

Lastly, utilizing PICRUSt analysis of the bacterial microbiota we revealed significant overall differences in metabolic potential between asthmatics and healthy across age groups, especially among pediatric age groups (Fig. 4). These differences provide an insight into respiratory microbiota fluctuations in Emirati population and its possible role in asthma pathogenesis. Moreover, using unsupervised hierarchical clustering followed by cutree to delineate the healthy versus asthmatic pediatric patients we identified ninety pathways, in which pediatric asthmatic group show significant depletion in metabolic pathways implicated in amino acid, carbohydrate, and fatty acid biosynthesis, in contrast to significant enrichment of metabolic pathways involved in amino acid, carbohydrate, and fatty acid degradation in comparison to healthy pediatric group (Fig. 4c). Maintenance of metabolic homeostasis, such as regulation of glucose uptake, amino acid acquisition and lipid synthesis are tightly governed by catabolic and anabolic events that ultimately dictates cell growth and proliferation, especially early in life [38]. The compromised balance between the two, as observed in our study, may contribute to disease pathogenesis within the lung milieu. For instance, elevation in multiple catabolic biomarkers is an indicator of accelerated decline of muscle strength [39]. A recent report sheds light on the cross talk between airway microbiota and host airway cells in signaling anabolic and catabolic remodeling of the transplanted lung [40]. Therefore, the increased anabolic ability among asthmatic group may ultimately enhance airway remodeling and inflammation, hallmark features of asthma. For example, among these pathways, we observed significant depletion of inosine degradation (PWY-5695) (p-value < 3.15 × 10^− 7), adenosine salvage (PWY-6609) (p-value < 5.48 × 10^− 7), and pyrimidine salvage (PWY-7196) (p-value < 6.18 × 10^− 7) (Fig. 4c) in pediatric asthmatics. Previous studies reports an important role for these purine metabolites in modulating lung inflammation [41, 42]. Here, we observed significant depletion of the gram-positive Lactobacillus among pediatric asthmatic groups (P. adj < 0.04) (Table S1). Interestingly, another study suggested that remodeling microbiota with Lactobacillus prolonged mice survival and reduced inflammation in the context of regulatory T cell dysfunction by restoring levels of inosine [43]. Moreover, other studies observed increased aerobic glycolysis and lactate production in asthma, which in turn promotes asthma development by T cell activation [44, 45]. Here however, we show a significant depletion of glycolysis pathways (ANAGLYCOLYSIS-PWY, GLYCOLYSIS-E-D, PWY-5484) (p-values < 3.13 × 10^− 7, < 7.89 × 10^− 7, < 1.96 × 10^− 7 respectively) (Fig. 4c) in pediatric asthmatic group despite the reported increased relative abundance of lactic acid producing bacteria in this group, such as Streptococcus and Enterococcus [46] (P. adj < 0.04, < 0.05 respectively) (Table S1). Perhaps other major members of lung microbiota, such as Moraxella (% absolute 42.75%, P. adj < 0.00) (Table S1) in pediatric asthmatic group, in part explains the observed depletion of glycolysis pathways as previously reported to primarily drive gluconeogenesis [47]. Overall, these findings highlight the importance of respiratory microbiota in determining the airway microenvironment and thereby, influencing lung function.

Limitations of this study include that we used a small number of samples, which needs further validation on a larger cohort across populations with different environmental conditions and genetic background. We also used spontaneous expectorated sampling method that carry a high risk of cross-contamination of the lower respiratory tract microbiota with upper respiratory tract microbiota. Distinguishing between the two is difficult due to the anatomical link between both niches. That said, studies suggested that lung microbiota mostly resembles the upper respiratory tract microbiota [13, 48]. Fortunately, our expectorated sputum sampling is consistent with previous microbiome studies of bronchial sampling with high proportion of bacteria belonging to Bacteroidetes, Firmicutes, Fusobacteria and Proteobacteria phyla [21, 49]. Further, similar to our observation in pediatric asthmatics, a study noted that bacterial colonization of neonatal airways at 1 month of age was observed to predominate with pathogenic Streptococcus pneumoniae, Haemophilus influenzae or Moraxella catarrhalis, which in turn increased their risk and severity of wheeze as well as increased the total IgE and blood eosinophil counts by the age of 5 years, leading to their diagnosis of clinical asthma by age 5 and also implying their role in the development and progression of asthma [49]. Whereas another study by Huang et al., noted relative abundance of the airway microbiota belonging to other phylotypes, including members of Comamonadaceae, Sphingomonadaceae, Oxalobacteraceae bacterial families, correlated with the degree of bronchial hyperresponsiveness in patients with sub-optimally controlled asthma [22].

In conclusion, we identified respiratory bacterial and fungal species associated with asthmatic patients and shed more light on the functional impact of respiratory microbiota on asthma pathogenesis in correlation with management indices such as ACT test. Host and environmental factors dictates the respiratory microbiota makeup, which in turn will further shift the balance toward more inflammatory or protective role. These inflammatory responses govern the interplay between respiratory colonization and asthma development in a bidirectional manner that can be further complicated by asthma medications such as corticosteroids [4, 22, 24, 37]. Therefore, it is difficult to predict the potential contribution of the specific members of the airway microbiota towards asthma pathogenesis, underscoring the need for more functional studies and uniform sampling processes. We believe results from this study will further enhance our understanding of the composition and functionality of respiratory microbiota in asthmatic patients that can influence the potential manipulation of the microbiome as a therapeutic strategy for chronic respiratory diseases such as asthma. We hope that future work will provide a platform for better understanding of asthma pathophysiology. Most likely, these data can be useful to provide screening biomarkers to predict early asthma development and better management.