| Literature DB >> 31781873 |
Evin Howard1, Vwaire Orhurhu2, Lisa Huang3, Barbara Guthrie1, Wanda Phipatanakul4.
Abstract
PURPOSE OF REVIEW: Asthma is a chronic respiratory condition with increasing domestic and worldwide prevalence that burdens individuals and the healthcare system with high costs associated with long-term treatments and acute emergency room (ER) visits. It can be triggered by ambient microbes, including bacteria, viruses, and fungi. In this review, we examine the outcomes of asthma patients in relation to environmental exposures to ambient microbe products, focusing on whether exposure leads to asthma development from birth to childhood and if particular microbes are associated with worsened asthma exacerbations. RECENTEntities:
Keywords: Allergen sensitivity; Asthma outcomes; Bacteria; Early microbial exposure; Fungi; Virus
Mesh:
Substances:
Year: 2019 PMID: 31781873 PMCID: PMC7088961 DOI: 10.1007/s11882-019-0890-2
Source DB: PubMed Journal: Curr Allergy Asthma Rep ISSN: 1529-7322 Impact factor: 4.919
Microbes and associated microbial products related to selected studies
| Microbe | Microbial product/ type |
|---|---|
| Bacteria | Endotoxin |
| Fungi | (1,3)-β- |
| Ergosterol | |
| Virus | Human rhinovirus (HRV) |
| Respiratory syncytial virus (RSV) | |
| Enterovirus | |
| Influenza virus |
Fig. 1Selection criteria for related studies
Select studies on relationship between microbial products and asthma outcomes
| Reference | Population | Design | Focus | Investigation and methods | Outcomes | Comments/limitations |
|---|---|---|---|---|---|---|
| Tischer et al. (2015) [ | 3 European birth cohorts: PIAMA (Dutch, | Prospective cohort study | Endotoxin/beta-glucan and development of asthma | Endotoxin, beta- | • Higher endotoxin levels were associated with current asthma at age 6 years of age in PIAMA cohort • Higher endotoxin levels were inversely related with ever having asthma up to age 10 in INMA cohort • No associations were observed with atopic sensitization in all cohorts. | Unknown whether a single bio-contaminant measurement is able to represent the overall exposure within a home, as the microbial components in the house dust samples may change over time. Unable to determine the effect of exposures on asthma beyond age 6 due to limited data |
| Tischer et al. (2015) [ | 2441 children from birth to age 10 (Munich and Leipzig, Germany) | Prospective cohort study | Association of animal fur and endotoxin with asthma | Parental questionnaires surveyed exposure to animal fur, cofactors, and health outcomes of children up to age 10. Information on IgE aeroallergens and cytokine-producing T cells were obtained | • 55% of children slept with animal fur • Sleeping with animal fur was inversely associated with early wheezes at age 4 and current asthma at age 6 • Sleeping on animal fur during the first 3 months of life was associated with persistently stimulated interferon-γ response until age 3 • Animal fur exposure might act as an immune system stimulant and offer protective mechanisms against asthma and allergy, as observed in farm/rural environments | Not able to determine the microbial profile of the animal fur nor the intensity of the exposure. Lifestyle factors also play a role in developing asthma |
| Bonnelykke et al. (2015) [ | 313 children with episodes of respiratory symptoms during first 3 years of life (Copenhagen, Denmark) | Prospective cohort study | Episodes of respiratory symptoms in the first 3 years of life | Documentation of lung symptoms in symptom diaries. Identification of RSV; rhinoviruses; other picornaviruses; coronaviruses 229E and OC43; parainfluenza viruses 1–3; influenza viruses Ah1, Ah3, and B; human metapneumovirus; adenoviruses; bocaviruses; | • Viruses were identified in 65% of samples • Bacteria were identified in 87% of samples • Asthma prevalence by age 7 was 15% • After adjusting for total respiratory episodes and number of episodes per pathogen, only the total number of episodes were significantly associated with asthma development • Risk factor for development is asthma is the number of respiratory episodes, not the specific viral trigger | Assumed that children who did not present to clinic did not have clinically significant respiratory episodes |
| Teo et al. (2015) [ | 234 children’s nasopharynx microbiomes during first year of life (Perth, Australia) | Prospective cohort study | Microbiomes in relation to acute respiratory illnesses (ARI) and development of asthma | Nasopharyngeal samples collected during episodes of ARI were sequenced to identify different types of bacteria | • • • Early asymptomatic colonization with • Any febrile lower respiratory tract infection and human rhinovirus C-positive lower respiratory tract infection were risk factors for developing chronic wheeze | Unable to sample nasomicrobiome while in the womb |
| den Hollander et al. (2016) [ | 3797 children at 6 years of age, and their mothers during mid-pregnancy (Rotterdam, The Netherlands) | Prospective cohort study | Relationship between | Measured anti- | • Colonization of a European child with a CagA-negative- • Positive association for asthma with • European child colonized with CagA-negative- • Higher prevalence of recent asthma, but not of wheezing, eczema or inhalant allergy, was observed in | Study population were of higher socioeconomic status, from European ethnic background, fewer adverse lifestyle factors—limits generalizability |
| Lu et al. (2016) [ | 343 children aged 3–24 months with their 1st or 2nd episode of severe RSV bronchiolitis (multiple global sites) | Prospective longitudinal observation study | Biomarkers associated with asthma or RSV and relationship with asthma/atopic disorders later in childhood | Surveys and blood samples were collected at baseline and at 6 years of age for biomarker measurement | • Prevalence of asthma in children at 6 years of age was 6.1% • Factors predictive of asthma at 6 years of age: male gender, relative with asthma, RAST positivity for dog dander • Factors predictive for atopic disorders: allergic rhinitis, relative with asthma, IL-5, IL-16, IL-18 • Factors predictive of chronic asthma therapy: asthma diagnosis before enrollment, living in Europe or Africa • Among patients with RSV bronchiolitis, hereditary factors and RSV bronchiolitis severity were predictors of asthma and atopic disorders at 6 years of age | No gold standard used for diagnosis of asthma and comparing sensitivity and specificity. Diagnosis of asthma was based on parental identification of a wheeze in the child vs. physician diagnosis |
| Lukkarinen et al. (2016) [ | 127 steroid-naïve children with first severe wheezing episode requiring hospitalization or emergency room visit (Turku, Finland) | Prospective cohort study | Prevalence of asthma, and risk factors for asthma | Nasopharyngeal aspirates were collected and analyzed for viral diagnostics; serum IgE and eosinophil counts were analyzed | • Factors predictive of atopic asthma at school age: sensitization, eczema, and rhinovirus etiology at the first severe wheezing episode • Factors predictive of non-atopic asthma: RSV/rhinovirus-negative etiology, age less than 12 months, and parental smoking • Different asthma phenotypes can be predicted using clinical markers at the time of first severe wheezing episode • Virus-testing and atopic status can be assessed in early episodes of severe wheezing to determine patients at high risk for asthma and distinguish the risk between asthma phenotypes | Sample size was small after excluding steroid-treated patients and rhinovirus typing was not done |
| Rubner et al. (2017) [ | 217 children (Madison, WI) | Prospective cohort study | Associations between viral wheezing illnesses, presence and pattern of aeroallergen sensitization, and asthma diagnosis at age 13 | Nasopharyngeal samples were collected at scheduled visits and during times of acute respiratory illnesses. Samples were analyzed for viruses. Allergen-specific IgE levels were measured | • After adjustment of viral etiologies, wheezing with rhinovirus (not RSV) was associated with asthma at age 13 • 65% of children sensitized by aeroallergen by age 1 had asthma at age 13 (compared to 40% of children sensitized at age 5) • Asthma at age 13 was associated with wheezing illnesses with rhinovirus and aeroallergen sensitization in early life | Enrollment criterion included only patients at higher risk for the development of asthma based on parental history of atopy and/or asthma. COAST cohort is comprised primarily of nonminority, suburban children, and the role of viral infections and sensitization may differ in other populations |
| Homaira et al. (2017) [ | 847,516 children ages ≤ 2 born between 2000 and 2010 (New South Wales, Australia) | Retrospective cohort study | Impact of RSV on development of asthma and asthma hospitalizations | Population-based administrative data was used to investigate relationship of RSV hospitalization and asthma hospitalization | • 4% of subjects had at least 1 occurrence of RSV hospitalization before age 2, of which 7.5% also had an occurrence of asthma hospitalization after age 2 • RSV-related hospitalizations in ages ≤ 2 is associated with subsequent asthma-related hospitalizations | Study performed using administrative data; did not include information for atopic predisposition and risk of subsequent asthma |
| Kitsantas and Nirmalrag (2018) [ | 1542 children born at term with no medical issues followed until age 6 (USA) | Retrospective cohort study | Association between RSV in early infancy and asthma or respiratory allergies and age 6 | Descriptive statistics and logistic regression used to analyze associations between RSV infection during infancy with various children’s health conditions | • Patients with RSV infections as infants had significant increased risk of developing asthma or respiratory allergy by age 6 • Risk was even greater in patients who had family history of asthma or respiratory allergy | Lacked underrepresented populations. No power analysis. RSV reported by mother only and not validated by clinical record |
| O’Connor et al. (2018) [ | 442 inner-city children collectively, followed from birth to age 7 in Boston, Baltimore, St. Louis and New York City | Prospective cohort study | Assessment of the risk of asthma development with early exposure to allergens (cat and dog dander, cockroach, mouse) and microbe products (endotoxin and ergosterol) by age 7 | Dust samples were taken from children’s beds, bedroom floors, and living room floors. Maternal questionnaires about depression, stress and smoking were administered prenatally and annually after the child’s birth with follow-up every 3 months up to age 7. Relationships of environmental exposures, perinatal, demographic, and family factors were assessed by logistic regression | • Higher allergen exposure at 3 months associated with lower risk of asthma development at age 7. • Maternal history of asthma and depression were associated within higher risk of asthma by age 7. • Bacterial species • Endotoxin and ergosterol were not found to be associated with the development of asthma | Gastrointestinal and airway microbiome were not measured during early childhood |