| Literature DB >> 35455967 |
Carolin Baehren1, Eleni Buedding1, Aliyah Bellm2, Frank Schult3, Anton Pembaur4, Stefan Wirth3, Anja Ehrhardt5, Friedrich Paulsen6, Jan Postberg4, Malik Aydin1,3.
Abstract
Bacteria, as well as eukaryotes, principally fungi, of the upper respiratory tract play key roles in the etiopathogenesis of respiratory diseases, whereas the potential role of archaea remains poorly understood. In this review, we discuss the contribution of all three domains of cellular life to human naso- and oropharyngeal microbiomes, i.e., bacterial microbiota, eukaryotes (mostly fungi), as well as the archaeome and their relation to respiratory and atopic disorders in infancy and adolescence. With this review, we aim to summarize state-of-the-art contributions to the field published in the last decade. In particular, we intend to build bridges between basic and clinical science.Entities:
Keywords: allergy; archaea; asthma; fungi; microbiome; nasopharynx; oropharynx; respiratory tract infections
Mesh:
Year: 2022 PMID: 35455967 PMCID: PMC9024940 DOI: 10.3390/cells11081287
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 7.666
Figure 1The domains of cellular life and hypothetical eukaryotic diversification. The tree of eukaryotes was adapted and simplified after Burki [18]. Pathogens from diverse eukaryotic clades contribute to human respiratory tract microbiomes and can be causally related to several diseases, e.g., apicomplexa to pulmonary babesiasis/malaria/toxoplasmosis/leishmanniasis [19] or respiratory cryptosporidiosis [20]. Multiple fungal species are associated with respiratory diseases, e.g., asthma [21], or occur in the respiratory tract [22,23]. Amoebozoa can be associated with thoracic amebiasis [24] or acanthamebiasis [19] or can be opportunistic free-living [25]. Excavates, such as Lophomonas blattarum, can cause respiratory tract infections and bronchopulmonary disease [26,27]. Moreover, pulmonary trichomoniasis can be related to trichomonad excavates [28]. Abbreviation: Last Universal Common Ancestor (LUCA). In underlined eukaryotic clades, multicellularity occurs, whereby Animalia exclusively contain multicellular organisms.
Figure 2The upper respiratory tract with the naso- and oropharynx in the sagittal plane. This figure shows the division into nasal, oral and laryngeal parts of the human body. The pharynx is connected to the nasal cavity through the choanae, to the middle ear through the auditory tubes, to the oral cavity via the isthmus faucium and to the larynx via the aditus larynges [30]. This illustration was created by Jörg Pekarsky, illustrator at the Institute of Functional and Clinical Anatomy, FAU Erlangen-Nürnberg, Erlangen, Germany.
Overview of articles focusing on the oropharyngeal microbiota of the upper respiratory tract of children suffering from asthma, wheezing, and exacerbation or respiratory infections from 2012 to 2021.
| Research Article | Disease | Key Points |
|---|---|---|
| Boutin and colleagues (2017) Comparison of oropharyngeal microbiota from children with asthma and cystic fibrosis [ | Asthma, cystic fibrosis |
Core microbiome represented by Opportunistic pathogens such as |
| Cardenas and colleagues (2012) Upper Airways Microbiota in Antibiotic-Naïve Wheezing and Healthy Infants from Tropics of Rural Ecuador [ | Wheezing |
Most common and diverse phylum: Pathogens are present significantly more often in cases of infantile wheeze compared to healthy controls exemplified by Other operational taxonomic units less common in cases than controls, notably |
| Cuthbertson and colleagues (2019) Viral respiratory infections and oropharyngeal microbiota in acutely wheezing children [ | Wheezing |
No significant difference in bacterial diversity between wheezers and healthy controls. Wheezing group: attendance at kindergarten and preschool associated with increased bacterial diversity. No significant effect of rhinovirus infection on bacterial community composition. |
| Hu and colleagues (2017) Dynamic oropharyngeal and faecal microbiota during treatment in infants hospitalized for bronchiolitis compared with age-matched healthy | Bronchiolitis |
In patients: microbiota after treatment comparable to that before treatment. |
| Powell and colleagues (2019) Temporal association of development of oropharyngeal microbiota with early life wheeze in population-based birth cohort [ | Wheezing |
Significant increase in the abundance of Children without wheezing: significant increase in the abundance of |
Overview of research articles of the nasopharyngeal microbiota of the upper respiratory tract of children with asthma, exacerbation, wheezing and respiratory infections.
| Research Article | Disease | Key Points |
|---|---|---|
| Kelly et al. (2017) The nasopharyngeal microbiota of children with respiratory infections in Botswana [ | Respiratory infections |
Categorization in distinct biotypes: Pneumonia-associated: Respiratory-infection-associated: Children with pneumonia and HIV: associated with lower relative abundance of |
| Luna et al. (2018) The association between anterior nares and nasopharyngeal microbiota in infants hospitalized for bronchiolitis [ | Bronchiolitis |
Correlations between two sample types (nasal and nasopharyngeal (np)), especially relating to Replicated when analyzing nasal swabs microbiota: Association between |
| Man et al. (2019) Loss of Microbial Topography between oral and nasopharyngeal microbiota and development of respiratory infections early in life [ | Respiratory infections |
Oral microbiota driven mostly by feeding type, followed by age, mode of delivery and season of sampling. Oral microbiota development not directly associated with RTI. Influx of oral taxa: |
| Perez et al. (2017) Nasopharyngeal microbiome in premature infants and stability during rhinovirus-infection [ | Rhinovirus infection |
PM: higher within group dissimilarity relative to FT infants; increased Differences in the major taxonomic groups identified ( Prematurity-related microbiota characteristics persisted during rhinovirus infection. |
| Rosas-Salazar et al. (2018) Nasopharyngeal Lactobacillus is associated with reduced risk of childhood wheezing illnesses following acute respiratory syncytial virus infection in infancy [ | Wheezing, RSV infection |
No association between overall taxonomic composition, diversity and richness of np microbiota during RSV ARI with development of subsequent wheeze. |
| Tang et al. (2021) Developmental patterns in the nasopharyngeal microbiome during infancy are associated with asthma risk [ | Asthma |
During wheezing illnesses: detection of rhinoviruses and predominance of |
| Teo et al. (2015) The infant nasopharyngeal microbiome impacts severity of lower respiratory infection and risk of asthma development [ | Asthma, respiratory infections |
Most infants initially colonized with Transient incursions of Early asymptomatic |
| Teo et al. (2018) Airway microbiota dynamics uncover a critical window for interplay of pathogenic bacteria and allergy in childhood respiratory disease [ | Allergy, respiratory disease, wheezing |
>80% of infectious events involving viral pathogens, but accompanied by a shift in the np microbiome toward dominance by a small range of pathogenic bacterial genera; change precedes the detection of viral pathogens and acute symptoms. Colonization of illness-associated bacteria coupled with allergy sensitization associated with persistent wheeze in school-aged children; in contrast: same bacterial genera associated with transient wheeze resolving after 3 years in non-sensitized children. |
Abbreviations: RSV = respiratory syncytial virus; RTI = respiratory tract infection; ARI = acute respiratory infection; FT = full-term; PM = premature.
Overview of published research articles of the naso-/oropharyngeal mycobiome of the human upper respiratory tract.
| Research Article | Disease | Key Points |
|---|---|---|
| Ward et al. (2018) Development of the human mycobiome over the first month of life and across body sites [ | - |
Characterization of the infant’s (oral/anal/skin) and mothers’ mycobiomes (anal/vaginal). Early infant microbiome contains few unique operational taxonomic units (OTUs)/taxa, often dominated by one taxon within intraindividual; most prevalent taxa across all body sites: Oral: Candida spp. ( Oral mycobiomes showed high intraindividual variability for beta diversity differences p.P. No clear progression towards a different/mature infant mycobiome during observation period. Oral mycobiome less diverse than skin and anal mycobiome within first month of life. |
| Ghannoum et al. (2010) Characterization of the oral fungal microbiome (mycobiome) in healthy individuals [ | - |
Oral rinse samples by healthy adult probands from Cleveland areas. Determination of basal fungal distribution = fungi present in min. 20% of probands → 15 genera. Candida most frequently within basal fungal distribution. |
| Porter et al. (2014) Airway Surface Mycosis in Chronic Th2-Associated Airway Disease [ | CRS |
Sinus lavage fluid and blood samples from sinus surgery patients, including CRS, patients +/− nasal polyps, AFRS and non-CRS/non asthmatic control patients. Filamentous fungi more commonly in probands with Th2-associated airway disease. Fungal-specific IgE assessed in non-Th2-associated and Th2-associated airway disease patients. Positive response to fungus determined by the highest fungus-specific IgE titer found more often in samples of Th2-associated disease patients (50%) than in control cohort. Th2-associated disease: Control group: |
| Van Woerden (2013) Differences in fungi present in induced sputum samples from asthma patients and non-atopic controls: a community-based case–control study [ | Asthma |
Total of 136 fungal species identified in induced sputum samples, 90 species more common in asthma patients, 46 in control subjects (based on total DNA reads). Asthma: Control cohort: |
| Cleland et al. (2014) The fungal microbiome in chronic rhinosinusitis: richness, diversity, postoperative changes and patient outcomes [ | CRS |
Sinus swabs collected intraoperatively; fungal outcomes determined through 18S ribosomal DNA fungal tag encoded FLX amplicon pyrosequencing. Total of several fungal genera detected; |
| Hoggard et al. (2019) The sinonasal mycobiota in chronic rhinosinusitis and control patients [ | CRS |
Mucosal swab samples of middle nasal meatuses analyzed through Illumina MiSeq platform. Few fungal-bacterial/-inflammatory associations were observed; all identified fungi were from phyla ZOTU1_Malassezia: associated with fungal/bacterial variables, e.g., |
Abbreviations: p.P. = post-partum; ZOTU = Zero-radius Operational Taxonomic Unit; TEFAP = tag-encoded FLX amplicon pyrosequencing; CRS = chronic rhinosinusitis; AFRS = allergic fungal rhinosinusitis; CRSsNP = chronic rhinosinusitis without nasal polyps; CRSwNP = chronic rhinosinusitis with nasal polyps; CRSwCF = chronic rhinosinusitis with cystic fibrosis; CF = cystic fibrosis.