Literature DB >> 34430429

Lower airway microbiota in children with Down syndrome compared to controls with similar respiratory symptomatology.

Mariska De Lausnay1, Stijn Verhulst1,2, Lieve Boel1, Kim Van Hoorenbeeck1,2.   

Abstract

BACKGROUND: Children with Down syndrome (DS) often present with chronic or recurrent respiratory symptoms and generally have a more severe and prolonged disease course in case of infection. This can be caused by anatomical and/or immunological predisposition. With this study, we aim to compare microbial composition in the lower airways of patients with DS versus controls, to see if we can explain the difference in disease course.
METHODS: All endoscopic procedures under general anesthesia in patients with DS were reviewed retrospectively. We compared the microbiological data from bronchoalveolar lavage fluid (BALF) cultures (when available) to a cohort of children with chronic respiratory symptoms but without any other relevant medical history.
RESULTS: Endoscopic data were available for 65 DS patients, BAL cultures for 47 out of 65 patients (72%). The "control" group consisted of 150 children without significant underlying disease, who were matched for age and sex. BAL culture results were available for 135 out of 150 patients (90%). Microorganisms were categorized and compared between both groups, with no statistical differences. Among the microorganisms tested, the most frequently reported were typical bacteria such as Haemophilus influenzae, Moraxella catarrhalis, Streptococci and Staphylococci.
CONCLUSIONS: No significant differences in lower airways microbial composition of children with DS and chronic respiratory symptoms were found when compared to controls presenting similar symptomatology. A suggestion for future research may be to investigate possible differences in drug sensitivity. 2021 Translational Pediatrics. All rights reserved.

Entities:  

Keywords:  Down syndrome (DS); bronchoscopy; lower airway symptoms; microbiota

Year:  2021        PMID: 34430429      PMCID: PMC8349956          DOI: 10.21037/tp-20-460

Source DB:  PubMed          Journal:  Transl Pediatr        ISSN: 2224-4336


Introduction

Trisomy 21 or Down syndrome (DS) is a relatively common human genetic disorder (1). It is well known for the characteristic dysmorphic features, cognitive impairment and hypotonia, but patients also have a high incidence of congenital anomalies in several organ systems: most frequently affected are the heart, gastrointestinal tract and respiratory system (1). These features make them more prone to airway obstruction and other respiratory problems (2-5). Children with DS are more vulnerable to infections possibly due to, among other factors, an altered immune status (3,4). Studies show that respiratory problems such as upper and lower respiratory tract infections (e.g., otitis media, tonsillitis, pneumonia, bronchiolitis) are the most common admission diagnoses in this patient population (6,7). In a previous study (8), we focused on the anatomy of the lower airways. We reviewed endoscopic results to compare the prevalence of airway anomalies in a population of children with DS with a control group (both with chronic or recurrent respiratory symptoms). In conclusion, we found a significantly higher prevalence of both isolated and combined airway malformations compared to controls (with the occurrence of one or more anomalies in 71% of endoscopies in DS versus 32% of controls, P<0.001). This confirmed the conclusions of previous small-scale studies (9-11). However, little is known about the microbiota of these children as we found no previous study concerning the microbial composition of the lower respiratory tract in DS patients. In the past, the lungs were thought to be a sterile environment. Nowadays, it is widely accepted that the lower airways harbor a complex and diverse microbiota that differs substantially from the upper airways, which in turn represents different sub-niches such as the nasal or oral cavity (12). However, examining the lower airway microbiota is challenging (13). This is because of the technical difficulties in accurate sampling and also the extremely low bacterial burden in healthy lungs. While the upper respiratory tract has a high bacterial burden due to continuous exposure via ingestion and inhalation, this is 100 to 10,000 times lower in the lower airways. Although the vocal cords act as a barrier, there are still continuous bacterial challenges due to microaspiration, postnasal drip, regurgitation, hematogenous spread and inhalation (12). In addition to these exposures, use of antibiotics or steroids, coinfection with viruses and availability of nutrients can play important roles in the shaping of a specific microbiome and immunological phenotypes (12). Studies in children with chronic cough and diagnosis of protracted bacterial bronchitis have shown clinically significant levels of the following microorganisms in bronchoalveolar lavage (BAL) fluid: Haemophilus influenzae, Streptococcus pneumoniae, Moraxella catarrhalis and Staphylococcus aureus (13-15). These pathogens were associated with altered bacterial community structure (lower alpha diversity of the respiratory microbiota), higher bacterial biomass and higher inflammatory parameters such as neutrophil percentage and several interleukins, compared to controls (13,14). A few case reports from the 1980–1990’s describe atypically severe lower airway infections in children with DS. Cant et al. (16) described a series of four DS patients presenting with acute bacterial tracheitis. Three of them had cultures positive for Haemophilus influenzae and one remained sterile, probably due to sampling done after several doses of antibiotic therapy. All of them were severely ill and required mechanical ventilation. Orlicek et al. (17) described another series of three young DS patients with severe bilateral pneumonia with Mycoplasma pneumonia as causative agent. A report by Winters et al. (18) described a case of lethal pneumonia in a DS patient caused by Bordetella bronchiseptica, which is a microorganism generally found in animal species but in rare cases also causes severe infections in immunocompromised patients. These reports suggest a susceptibility in DS patients for atypical microorganisms or atypical course of infection. However, these reports are rare and non-recent. Further data are lacking. Therefore, the aim of this study is to evaluate if the difference in prevalence, severity and duration of respiratory tract infections can be (partially) explained by comparing BAL fluid cultures between a cohort of children with DS from our institution (Antwerp University Hospital, Belgium), to a group of children with respiratory symptoms but without any other significant medical history. This may provide valuable information for future decision-making in terms of treatment (e.g., for choosing empirical antibiotic therapy). We present the following article in accordance with the Materials Design Analysis Reporting (MDAR) checklist (available at https://dx.doi.org/10.21037/tp-20-460).

Methods

Information gathered in databases from our previous study was considered. Retrospective chart review of all endoscopic procedures (flexible bronchoscopy and flexible/rigid laryngoscopy, all under general anesthesia with spontaneous breathing) was performed in the Antwerp University Hospital, Belgium, in pediatric patients with DS from April 2011 until June 2019 (8). As a control group, children without significant underlying disorders undergoing endoscopy for similar indications were selected from charts dating from January 2012 until January 2015. These databases are only accessible to the investigators and were approved by the Ethics Committee of our institution (Antwerp University Hospital, Belgium; approval number 19/17/229). Given the data are collected retrospectively and anonymized, informed consent was omitted. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). For each subject, availability of BAL sample obtained during the endoscopic procedure for its further microbiological investigation was checked in their medical records. If this was the case, results of cultures and/or PCR testing were listed as reported in the patient file. Immediately after sampling, the BAL samples are processed as follows. After a fraction is taken aside for PCR testing or viral culture (when requested), the remaining material is quantitatively inoculated on several culture media (all media are from bioMérieux Marcy-l’Étoile, France): a fixed volume of the sample (0.1 mL) is being inoculated on (I) a blood agar (BA) for detection of most gram-negative and gram-positive bacteria (except for some fastidious organisms), (II) a colistin nalidixic acid agar (CNA) for detection of gram-positive bacteria, (III) a MacConkey agar for detection of gram-negative bacilli and (IV) a HAEM agar for Haemophilus influenza and other fastidious organisms. The remainder of the sample is being centrifuged and used for microscopic evaluation and more specific cultures (e.g., for fungi and mycobacteria). BAs, CNA agars and HAEM agars are incubated at 37 °C in 5% CO2 and MacConkey agars in ambient air at 35–37 °C. Cultures are assessed by well-trained lab technicians after 24 and 48 hours of incubation and relevant organisms identified by MALDI-TOF mass spectrometry. In case of doubt, further identification will be performed using 16s rRNA sequencing.

Statistical analysis

All positive cultures (even with small or indeterminable numbers of colony forming units per mL) were taken into account, in order to determine both colonization and infection. These results were subsequently categorized and compared by statistical analysis in SPSS. We used a Mann-Whitney U test to compare ages between the two cohorts and Chi square test (or Fisher exact test when appropriate) to compare the two cohorts in terms of sex distribution, reason for endoscopic evaluation and microbial composition. The level of statistical significance was set at P≤0.05.

Results

At present, over 300 children with DS are followed-up in our center by a multidisciplinary team. For 65 of them data on airway endoscopy are available. Our control group consists of 150 children with respiratory symptoms that warranted endoscopic evaluation, but without additional underlying conditions. BAL samples for cultures and PCR testing were obtained in 47 of the DS patients (47/65=72%) and in 135 of our control patients (135/150=90%). The groups are matched in terms of age and sex, with an overall mean age at time of bronchoscopy of 3.4 years and the majority being male (63.7%). Reasons for endoscopic evaluation for both groups include recurrent infections, chronic cough or noisy breathing, persisting radiographic abnormalities, etc. These are depicted in and are similar in both groups, except that more DS children suffer from recurrent lower respiratory tract infections and none of them were suspected to have aspirated a foreign body. As reported previously (8), there is a major difference in prevalence of airway anomalies (in 68.1% of DS children versus 29.6% of controls, P<0.001).
Table 1

Patient characteristics of the study populations

Total (n=182)DS (n=47)Controls (n=135)Comparison (P value)
Mean age (years)3.42.93.50.490
Sex (% boys)116 (63.7%)31 (66%)85 (63%)0.713
Airway anomaly present72 (39.6%)32 (68.1%)40 (29.6%)<0.001
Symptomatology (reason for bronchoscopy)0.005
   Chronic cough or noisy breathing58 (31.9%)14 (29.8%)44 (32.6%)
   Recurrent infections41 (22.5%)19 (40.4%)22 (16.3%)
   Persistent radiographic abnormalities31 (17%)7 (14.9%)24 (17.8%)
   Respiratory failure17 (9.3%)5 (10.6%)12 (8.9%)
   Stridor, recurrent laryngitis16 (8.8%)2 (4.3%)14 (10.4%)
   Suspected aspiration17 (9.3%)0 (0%)17 (12.6%)
   Hemoptysis2 (1.1%)0 (0%)2 (1.5%)

P values calculated by Mann-Whitney U test (age), Chi square test (sex, presence of airway anomaly) or Fisher exact test (symptomatology); significance level P≤0.05.

P values calculated by Mann-Whitney U test (age), Chi square test (sex, presence of airway anomaly) or Fisher exact test (symptomatology); significance level P≤0.05. In most patients, cultures showed multiple organisms (for example in 64% of the DS group). The encountered microorganisms were listed and labeled as typical bacteria, atypical bacteria or other (mostly viruses) (), based on experience and previous studies (12-14). We then quantified the numbers of patients in whom all of the individual micro-organisms were found (see ). We attributed each patient to a category, depending on the microbiological data ( and ): patients with (I) sterile cultures or only presence of commensals, (II) only typical bacteria present, (III) only atypical microorganisms present, and (IV) a combination of both typical and atypical microorganisms detected. When comparing the DS children to the group of children without underlying conditions, we found similar microorganisms. Also, the percentages of encountered categories were comparable, no statistically significant differences were found (). We also compared the most frequently reported bacteria with >10 patients (i.e., Haemophilus influenzae, Moraxella catarrhalis, Streptococcus pneumoniae and Staphylococcus aureus) by Chi square test. This only showed a higher prevalence of Haemophilus influenzae in the DS group (P=0.017) but no other significant differences.
Figure 1

Alphabetical list of all detected microorganisms, quantified and with heat map for both the DS group and the control group of children without underlying disorders.

Figure 2

Quantification of detected microorganisms.

Table 2

Comparison of microbiological findings in DS population versus children without underlying conditions

Total (n=182)Down (n=47)Controls (n=135)Comparison subgroups (P value)
A) Comparison of categories of microorganisms, n (%)
   Sterile/commensals43 (23.6)7 (14.9)36 (26.7)0.289
   Typical bacteria86 (47.3)24 (51.1)62 (45.9)
   Atypical bacteria and/or viruses18 (9.9)7 (14.9)11 (8.1)
   Combination35 (19.2)9 (19.1)26 (19.3)
B) Comparison per microorganism, n (%)
   H. influenza0.017
    Present84 (46.2)29 (61.7)55 (40.7)
    Absent98 (53.8)18 (38.3)80 (59.3)
   M. catarrhalis0.423
    Present42 (23.1)13 (27.7)29 (21.5)
    Absent140 (76.9)34 (72.3)106 (78.5)
   S. pneumoniae0.373
    Present61 (33.5)13 (27.7)48 (35.6)
    Absent121 (66.5)34 (72.3)87 (64.4)
   S. aureus0.842
    Present18 (9.9)5 (10.6)13 (9.6)
    Absent164 (90.1)42 (89.4)122 (90.4)
   Others0.484
    Present68 (37.4)20 (42.6)48 (35.6)
    Absent114 (62.6)27 (57.4)87 (64.4)

P values calculated by Chi square test, significance level P≤0.05.

Alphabetical list of all detected microorganisms, quantified and with heat map for both the DS group and the control group of children without underlying disorders. Quantification of detected microorganisms. P values calculated by Chi square test, significance level P≤0.05.

Discussion

Even though children with DS are more prone to infections (often originating in the respiratory tract) than children not affected by DS due to several predisposing factors (4,5,10), this study concludes that the microorganisms encountered in BAL fluid samples are similar. Most frequently, cultures showed growth of typical bacteria such as Haemophilus influenzae, Moraxella catarrhalis and Streptococcus pneumoniae in both groups. This was also the case in several studies of children with protracted bacterial bronchitis (13-15). The previously mentioned case reports about atypical pathogens in DS (16-18) therefore seem to be rather exceptional. When treating patients with DS and (chronic) lower airway infections, antibiotic therapy should not necessarily be adjusted to a broader spectrum than in children without underlying conditions. However, this study did not look at drug resistance patterns, which could be an interesting study subject given the fact that these children receive more (often) antibiotics for various respiratory tract infections (5). Other limitations are that, although we have managed to gather relatively large study populations with deep (bronchoalveolar) sampling, the numbers of specific bacteria and viruses are often too small to compare. The used culture-based techniques are also less sensitive than for example 16S rRNA sequencing for this type of research. Therefore, these conclusions must be approached with caution. Also, the multiple comorbidities in these patients and at times atypical or more severe course of infections vindicate a thorough evaluation and adequate treatment.

Conclusions

No significant differences were found concerning the lower airway microbiota of children with DS compared to children with similar symptomatology but without underlying conditions. Based on these (albeit limited) data, we conclude that the higher infectious burden in children with DS is not caused by a different microbial composition, but could perhaps be better explained by the immunological and anatomical abnormalities, these topics too deserve more clarification. The type of microorganisms however appears similar. The article’s supplementary files as
  18 in total

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