Literature DB >> 31781873

The Impact of Ambient Environmental Exposures to Microbial Products on Asthma Outcomes from Birth to Childhood.

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. RECENT
FINDINGS: Bacterial endotoxin is more prominent in homes with pets and may cause cytokine cascades that lead to asthma exacerbation. However, some studies have demonstrated a protective effect with early exposure. Patients with positive Aspergillus skin testing are more prone to moderate-severe or severe-uncontrolled asthma. Fungal sensitization is also associated with earlier onset of asthma and demonstrates a dose-dependent relationship of symptom severity and duration. Among viruses, rhinovirus has the greatest association with decreased lung function, severe asthma, and asthma-related hospital admissions. Distribution of microbial products and associated asthma symptoms depends on the geographical climate. Genetic variations among individuals also mitigate the effects of microbial products on asthma development and symptom severity. Microbial products of bacteria, fungi, and viruses are associated with the development of asthma, more severe asthma symptoms, and worse outcomes. However, some early exposure studies have also demonstrated a protective effect. Bacterial and fungal products are related to decreased lung function and earlier onset of asthma. Viral products are related to asthma-associated hospital admissions; and the climate and patient genetics can also temper or intensify the relationships between microbial products, asthma development, and asthma symptom severity. Further research should focus on the effects of early microbe exposure and its interaction with human immune systems and asthma-related outcomes.

Entities:  

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


Introduction

Every day, 10 people in the USA die from asthma [1]. In 2017 alone, there were 3,564 asthma-related deaths [1, 2]. Within the USA, the prevalence of asthma is 1 in 13 people, producing annual economic costs of over $81.9 billion, related to missed school and work, medical costs, and asthma-related mortality [1-3]. Ambient microbes have been shown to trigger asthma attacks [4-6]. The most common microbes are bacteria, viruses, and fungi [7]. Though the literature has clearly demonstrated that microbes and allergens can trigger asthma exacerbations, controversy still remains whether or not microbes promote the development of asthma with early-life exposure or if they have a preventative effect against asthma symptoms in an individual with established disease [4-6]. Many longitudinal studies have demonstrated that early exposure to ambient microbial products increases the risk of the development of asthma [8•, 9, 10, 11•]. Whereas, other studies, particularly related to human contact with animal microbes, have shown protective effects against the development of asthma [8•, 12, 13]. With over 1.8 million asthma-related ER visits each year, which may be potentiated by exposure to various ambient microbial products in the environment, early-life exposure to microbial products and its effect on the respiratory system later in childhood warrants further investigation [2, 6, 14, 15].

Purpose

The purpose of this literature review was to specifically examine asthma outcomes related to environmental exposures to microbial products, pertaining to endotoxin from bacteria—(1,3)-β-d-glucan and ergosterol from fungus, and common viruses associated with worsening asthma morbidity (rhinovirus, respiratory syncytial virus (RSV), enterovirus, and the influenza virus) during infancy, and to assess the risk of asthma development later in childhood [15-18] (see Table 1).
Table 1

Microbes and associated microbial products related to selected studies

Microbe Microbial product/ type
BacteriaEndotoxin
Fungi(1,3)-β-d-glucan
Ergosterol
VirusHuman rhinovirus (HRV)
Respiratory syncytial virus (RSV)
Enterovirus
Influenza virus
Microbes and associated microbial products related to selected studies While other reviews have focused on common routes of exposure and the concentration of microbial products (endotoxin, fungal spores, virus, etc.) in urban vs. suburban regions [19, 20], this review investigates if the exposure to microbial products during infancy leads to the development of asthma during childhood, and whether particular microbes have a higher severity for triggering asthma exacerbations over others. Primary questions for this review consisted of the following: What microbes are associated with asthma severity and outcomes? What microbial products are known for triggering asthma symptoms and/or exacerbations? Does the exposure of microbial products in the environment lead to the development of asthma? For this review, we selected original manuscripts in English, published in peer-review journals on the basis of bacterial, fungal, and viral products within the environmental matrix with children exposed to these microbial products. Thus, we selected articles examining health outcomes for the development of asthma related to microbial product exposure during the time of infancy until childhood. However, we also highlighted factors in the literature that contribute to microbial exposure and their effect on asthma for people with an established diagnosis of asthma. Only journal articles within the last 5 years were chosen; however, there were no restrictions pertaining to specific populations or geographical locations. Exclusion criteria consisted of animal studies, investigative procedures using only in vitro methods, studies not translated into English, articles focusing on the measurement of microbial products without their effect on asthma outcomes, and articles not assessing microbial exposure from the time of infancy. With this thought process in mind, the following word criteria was applied using PubMed as the primary search engine: (“Asthma”[Mesh] OR asthma[tiab] OR asthmatic*[tiab]) AND (“Microbiota”[Mesh] OR “Bacteria”[Mesh] OR “Antigens, Bacterial”[Mesh] OR “Bacterial Toxins”[Mesh] OR “Enterotoxins”[Mesh] OR “Fungi”[Mesh] OR “Mycotoxins”[Mesh] OR “Viruses”[Mesh] OR bacteria[tiab] OR bacterial[tiab] OR endotoxin*[tiab] OR enterotoxin*[tiab] OR fungal[tiab] OR fungi[tiab] OR fungus[tiab] OR lipopolysaccharides[tiab] OR microbial [tiab] OR microbiome*[tiab] OR microbiota*[tiab] OR mold[tiab] OR molds[tiab] OR mycotoxin*[tiab] OR peptidoglycan[tiab] OR staph[tiab] OR Staphylococcus[tiab] OR teichoic acid*[tiab] OR virus*[tiab] OR viral[tiab]) NOT (“Animals”[Mesh] NOT “Humans”[Mesh]) AND (“2014/01/01”[PDat] : “2019/12/31”[PDat]) AND English[lang].

Results

The search returned a total of 2999 articles. After the removal of 2924 studies, consisting of reviews, duplicates, mouse studies, and irrelevant articles to asthma health outcomes, this then left 76 studies. 65 Studies were pertaining to adults, which left a total of N = 11 studies (see Fig. 1).
Fig. 1

Selection criteria for related studies

Selection criteria for related studies

Characteristics of Included Studies

The majority of the studies had a prospective cohort design (9/11), while the other two studies were retrospective cohort designs. Environmental sampling consisted of different locations in participants’ homes (living room, kitchen, bedroom, mattress), outside air, and settled dust in classrooms. All of the studies included examined asthma health outcomes related to ambient exposure to bacterial, fungal, and viral microbial products. Considering bacterial products and asthma outcomes, the literature has discussed endotoxin, β-glucan, and lipopolysaccharide (LPS). Of these microbial products, endotoxin has been well established with asthma outcomes [5, 14, 21, 22].

Endotoxin

When bacteria are destroyed or lysed, LPS is dispersed into the environment or blood as endotoxin, which can lead to a cascade of inflammatory cytokines (IL-6, IL-12, IL1β, and TNF-α) and exacerbation of asthma symptoms [22, 23]. The main route of contact to endotoxin is via inhalation, which has been demonstrated in multiple studies [5, 14, 21, 22]. Of the 11 studies selected for review, there were two that specifically discussed endotoxin exposure from infancy [8•, 24••] (see Table 2). Tischer et al. conducted a prospective longitudinal study examining whether early exposure to microbial products in dust was associated with allergy and asthma later in childhood for children in suburban areas using the following three birth cohort studies for children born between 1996 and 1999: Prevention and Incidence of Asthma and Mite Allergy (PIAMA) from the Netherlands, Infancia y Medio Ambiente- Childhood and Environment (INMA) from Spain, and Influence of Life-Style factors (LISAplus) on the development of the Immune System and Allergies in East and West Germany [8•]. The researchers collected dust samples from living room floors shortly after children were born and found that high endotoxin levels were positively associated with asthma at 6 years of age in the PIAMA cohort (adjusted OR = 1.96; 95% CI (1.07–3.58)), but there was no association with the LISAplus cohort [8•]. However, there was an inverse relationship between endotoxin and asthma in the INMA cohort from Spain at age 10 (OR = 0.39; 95% CI (0.16–0.94)). The INMA cohort from Spain had the highest number of pets in terms of dogs and cats with exposure from 0 to 1 year of age, compared to the other groups [8•]. Whereas, in a study conducted by O’Connor et al. [24••], dust samples were collected from children’s mattresses, bedroom floors, and living room floors; and showed no association between endotoxin nor the fungal membrane lipid ergosterol in the development of asthma with exposure from birth to 7 years of age. Previous research has shown that endotoxin levels tend to be higher in homes with a pet such as a cat or dog in addition to homes of families that are low-income and/or may be in community projects that contain cockroaches [5, 31]. Similar results were seen in children by a study conducted by Mendy et al. [32] who found that overall for people who had a cat or dog, endotoxin levels were higher in the household with a pet and was associated with wheeze (OR = 1.30; 95% CI (1.04–1.62)) but not with asthma [32]. Co-exposure with dog and cat allergens modified the association with asthma, increasing the risk when exposed to endotoxin (OR = 2.00; 95% CI (1.04–3.83)) [32]. However, the O’Connor et al. [24••] study found that exposure of a pet cat or dog from the time of infancy decreased the chances of developing asthma later in childhood (OR = 0.71, 95% CI (0.51–1.00) and OR = 0.78, 95% CI (0.56–1.09), respectively). For people with an established asthma diagnosis, regardless of allergen sensitization, Thorne et al. [5] demonstrated that endotoxin exposure is associated with wheeze with exercise, office or ER visits, and use of prescription medication for wheezing [5]. Studies have indicated that lung function and capacity can be decreased due to continuous exposure to endotoxin in patients with atopic asthma [22, 33].
Table 2

Select studies on relationship between microbial products and asthma outcomes

ReferencePopulationDesignFocusInvestigation and methodsOutcomesComments/limitations
Tischer et al. (2015) [8•]3 European birth cohorts: PIAMA (Dutch, n = 553); INMA (Spanish, n = 481); and LISAplus (German, n = 395) Prospective cohort studyEndotoxin/beta-glucan and development of asthmaEndotoxin, beta-d-glucan, and LPS were measured in dust from living room floors shortly after birth of patients. Current asthma at age 6 and 10, and ever having asthma in children up to age 10 were assessed by parental questionnaires. IgE levels at age 8 (PIAMA) and age 10 (LiSAplus) were analyzed with logistic regression

• 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) [25]

2441 children from birth to age 10

(Munich and Leipzig, Germany)

Prospective cohort studyAssociation of animal fur and endotoxin with asthmaParental 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) [10]313 children with episodes of respiratory symptoms during first 3 years of life (Copenhagen, Denmark)Prospective cohort studyEpisodes of respiratory symptoms in the first 3 years of lifeDocumentation 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; Streptococcus pneumonia; Haemophilus influenza; and Moraxella catarrhalis from nasopharyngeal and hypopharngeal aspirates

• 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) [26]234 children’s nasopharynx microbiomes during first year of life (Perth, Australia)Prospective cohort studyMicrobiomes in relation to acute respiratory illnesses (ARI) and development of asthmaNasopharyngeal samples collected during episodes of ARI were sequenced to identify different types of bacteria

Staphylococcus was the dominant colonizing bacteria in the early healthy NP microbiomes, but its presence declined rapidly with age

Streptococcus was associated with higher severity of ARI vs. other bacteria or RSV

• Early asymptomatic colonization with Streptococcus increases risk of asthma

• 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) [27]3797 children at 6 years of age, and their mothers during mid-pregnancy (Rotterdam, The Netherlands)Prospective cohort studyRelationship between H. pylori and asthmaMeasured anti-H. pylori and anti-CagA antibodies in serum of children and their mothers during mid-pregnancy. Asthma or related conditions were reported for children at age 6

• Colonization of a European child with a CagA-negative-H. pylori at age 6 was associated with increased prevalence of asthma

• Positive association for asthma with H. pylori-positive child and H. pylori-negative mother

• European child colonized with CagA-negative-H. pylori strain at age 6 had increased prevalence of asthma

• Higher prevalence of recent asthma, but not of wheezing, eczema or inhalant allergy, was observed in H. pylori-positive children compared with H. pylori-negative children

Study population were of higher socioeconomic status, from European ethnic background, fewer adverse lifestyle factors—limits generalizability
Lu et al. (2016) [28]343 children aged 3–24 months with their 1st or 2nd episode of severe RSV bronchiolitis (multiple global sites)Prospective longitudinal observation studyBiomarkers associated with asthma or RSV and relationship with asthma/atopic disorders later in childhoodSurveys 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) [11•]127 steroid-naïve children with first severe wheezing episode requiring hospitalization or emergency room visit (Turku, Finland)Prospective cohort studyPrevalence of asthma, and risk factors for asthmaNasopharyngeal 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) [9]217 children (Madison, WI)Prospective cohort studyAssociations 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) [29]847,516 children ages ≤ 2 born between 2000 and 2010 (New South Wales, Australia)Retrospective cohort studyImpact of RSV on development of asthma and asthma hospitalizationsPopulation-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) [30]1542 children born at term with no medical issues followed until age 6 (USA)Retrospective cohort studyAssociation between RSV in early infancy and asthma or respiratory allergies and age 6Descriptive 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) [24••]442 inner-city children collectively, followed from birth to age 7 in Boston, Baltimore, St. Louis and New York CityProspective cohort studyAssessment 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 7Dust 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 Kocuria, Bifidobacterium, Alloiococcus, and Acinetobacter were found in homes of children without asthma, but not in homes of children with asthma.

• Endotoxin and ergosterol were not found to be associated with the development of asthma

Gastrointestinal and airway microbiome were not measured during early childhood
Select studies on relationship between microbial products and asthma outcomes • 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 2441 children from birth to age 10 (Munich and Leipzig, Germany) • 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 • 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 • Staphylococcus was the dominant colonizing bacteria in the early healthy NP microbiomes, but its presence declined rapidly with age • Streptococcus was associated with higher severity of ARI vs. other bacteria or RSV • Early asymptomatic colonization with Streptococcus increases risk of asthma • Any febrile lower respiratory tract infection and human rhinovirus C-positive lower respiratory tract infection were risk factors for developing chronic wheeze • Colonization of a European child with a CagA-negative-H. pylori at age 6 was associated with increased prevalence of asthma • Positive association for asthma with H. pylori-positive child and H. pylori-negative mother • European child colonized with CagA-negative-H. pylori strain at age 6 had increased prevalence of asthma • Higher prevalence of recent asthma, but not of wheezing, eczema or inhalant allergy, was observed in H. pylori-positive children compared with H. pylori-negative children • 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 • 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 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 • 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 • 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 • 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 Kocuria, Bifidobacterium, Alloiococcus, and Acinetobacter were found in homes of children without asthma, but not in homes of children with asthma. • Endotoxin and ergosterol were not found to be associated with the development of asthma Lipopolysaccharide has also been shown to promote eosinophil airway inflammation in patients with asthma despite maintenance treatment with inhaled corticosteroids (ICS) [34]. Besides having a pet, there are other factors that could have contributed to the varying results between the cohorts within the Tischer et al.’s study. The climate also plays a role in the concentration of endotoxin in the surrounding environment [14, 31]. Researchers have found a positive correlation between log10-endotoxin and current asthma (OR = 1.56, 95% CI (1.11–2.18), p = 0.046) for hot-humid regions and a higher incidence of exercise-induced wheeze (OR = 1.48, 95% CI (1.22–1.80), p = 0.009) for subarctic/very cold/cold regions [31]. High levels of endotoxin, regardless of being inside or outside the home environment, are associated with severe asthma [14, 35]. A study conducted in Japan by Khan and colleagues showed that asthma-related visits to the ER for patients 15-years-old or older was highest during the seasons of autumn and spring, when the environmental endotoxin was highest in the air [14]. Oluwole et al. [35] showed that for 7 to 17-year-olds, high concentrations of endotoxin within households, including mattresses, are associated with an elevated risk of moderate or severe asthma (adjusted OR = 11.40, 95% CI (1.45–89.43)). Tischer et al. [8•] also supported these results for children from infancy to 6 years of age. In addition, these findings are also in accordance with previous investigations in the early 2000s [36-39]. Non-environmental patient characteristics can also impact the development or severity of asthma. Mendy et al.’s [40] study determined that the combination of high levels of endotoxin exposure and low vitamin D levels are associated with an asthma diagnosis or recurrent wheeze (OR = 1.88, 95% CI (1.33–2.66), p = 0.02), current asthma (OR = 1.97, 95% CI (1.09–2.23), p = 0.03), wheeze over the last 12 months (OR = 1.72, 95% CI (1.10–3.7), p = 0.002), and recurrent wheeze (OR = 1.97, 95% CI (1.0–4.0), p < 0.001) [40]. Nevertheless, this study was conducted in adults and the effect from infancy to childhood, regarding vitamin D levels in combination with endotoxin exposure, would need to be assessed. No studies on fungal spore exposure were found for the time period from birth to childhood to assess the development of asthma.

Fungi

Fungal exposure plays a vital role in asthma health outcomes. For the Tischer et al.’s [8•] study, no correlations were found between the fungal product (1,3)-β-d-glucan and the PIAMA and LISAplus studies [8•]. (1,3)-β-d-glucan was not evaluated for in the INMA cohort study [8•]. Sensitization to fungal antigens is a key component to understanding asthma severity. Chopra and colleagues showed that asthma patients with skin reactivity to the Aspergillus skin test (AST) had more cases of moderate and severe asthma versus nonreactive AST patients (98.6% vs. 3.2%, p < 0.001) in a cohort of 282 adult asthma patients over a 1-year period. Sensitization to Aspergillus has been found to have a more significant impact on asthma outcomes compared to other species of fungus [41, 42]. For instance, Vincent et al. [41] demonstrated that adult asthma patients who were sensitized to Penicillium chrysogenum, Cladosporium cladosporiodes, Cladosporium sphaerospermum, or Penicillium brevicompactum were comparable to the control group in having a lower risk of severe asthma compared with the Aspergillus fumigatus group (15.6% vs. 50%, OR = 5.4, 95% CI (1.0–29.06), p = 0.059) [41]. Masaki and colleagues’ study in Japan implicates a different species; their study investigated sensitization to Candida and found that out of 124 adults with asthma, more people had sensitization to Candida than Aspergillus (16 vs. 11%) [6]. The researchers also found that fungal sensitization leads to a higher rate of early-onset asthma (< 16 years of age) compared to those without sensitization (45% vs. 25%) and sensitization increases with age [6, 43]. However, further investigation is needed to examine early exposure of various fungal species during infancy and its effect on the development of asthma during childhood. The fungal genus Alternaria has also provided more insight into fungal sensitization and asthma outcomes. Recently, Baxi and colleagues conducted a study in 37 inner-city schools in New England with school-aged children with asthma and observed that children sensitized to Alternaria had an association with asthma symptom days (OR = 3.61, 95% CI (1.34–9.76), p = 0.01); however, this did not apply to children not sensitized to Alternaria (OR = 1.04, 95% CI (0.72–1.49), p = 0.85) [44]. Researchers found that asthmatic children who were sensitized to Alternaria and exposed to high levels had 3.2 more symptom days per 2-week period when compared to asthmatic and sensitized children exposed to lower levels of Alternaria. This suggests a dose-dependent relationship between mold exposure and asthma severity [44]. This finding is supported by Oluwole et al. [45], who demonstrated that high mold levels in children’s play areas are associated with current asthma (adjusted OR = 3.0, 95% CI (1.11–8.0)). Furthermore, additional studies have demonstrated that sensitization to Alternaria increases with higher mold concentration exposure and may lead to a risk of hospitalization, especially in the urban setting [46-49]. Fungal exposure also impacts lung function [41]. Asthma patients with sensitization to Aspergillus fumigatus have been found to have higher total serum IgE levels and an increased degree of broncho-obstruction (as measured by FEV1/FVC), compared to asthmatic patients without sensitization [41, 50]. The impact of fungal exposure on lung function has been evaluated in adults; however, this has not been thoroughly evaluated in infants and young children. The fungal product (1,3)-β-d-glucan has been shown to have a low association with severe asthma (OR = 0.55, 95% CI (0.24–1.26), p = 0.003) in children [51, 52]. Ergosterol has also demonstrated a low affinity for the development of asthma [52]. However, exposure to fungal spores has been shown by multiple studies in adults to be associated with asthma exacerbations; yet, there are very few studies involving children [53-55]. In a study analyzing the fungal microbiome in exhaled breath condensate (EBC) of patients with asthma in Italy, Carpagnano et al. [53] found that in 47 adults with asthma, 94% of the people were colonized in the EBC by Cladodosporium species, 21% by Alternaria, and 24% by Penicillium species [53]. Fungal colonization tended to be higher in asthmatics with severe and uncontrolled asthma with sensitization to fungal species such as Alternaria [53-55]. The differing levels of fungal species, with Cladosporium being the most abundant, and Alternaria and Penicillium in lower quantities, was also found in Manitoba, Canada, by Polyzoi and Polyzois, examining mold within the bedrooms and basements of 3424 school-aged children [56]. Cladosporium was the most common mold found in homes (98.2% of bedrooms and 97.8% of basements), followed by Alternaria (82.4% of bedrooms and 77% of basements), and Penicillium (35.4% of bedrooms and 48.8% of basements). In addition, visible mold in bedrooms and basements in participants’ homes were associated with persistent asthma and colds (16.8%, p < 0.0001). Other fungal studies conducted in Europe, Canada, and Australia have also found similar results [45, 57, 58]. Viral exposure also plays a critical role in the development of asthma and asthma morbidity [9, 11•].

Viruses

Rhinovirus

Two studies were found that were conducted on early-life exposure to rhinovirus and asthma outcomes: One by Rubner et al. [9] and another by Lukkarinen et al. [11•]. Rubner et al. [9] conducted a prospective cohort study with 217 children, examining early-life rhinovirus exposure from birth to 13 years of age. The researchers observed that wheezing with rhinovirus was associated with asthma at age 13 (OR = 3.3, 95% CI (1.5–7.1), p = 0.02) and sensitization to allergens increased with age [9]. FEV1% predicted has also been shown to be lower in asthmatic patients admitted to the hospital with an asthma exacerbation with concurrent rhinovirus infection, compared to children with asthma admitted for an exacerbation but negative for rhinovirus [29, 59]. Lukkarinen et al. [11•] performed a 7-year long prospective cohort study following 127 Finnish children from birth to 7 years of age and found that the risk factors for atopic asthma at study entry were sensitization to common allergens (dust, mold, etc.), and wheezing with rhinovirus infection (aOR 4.8, p < 0.014) [11•]. Zheng et al. [15] conducted one of the numerous studies that demonstrated that human rhinovirus (HRV) was the most common viral microbe to induce an asthma exacerbation in children [60-62]. Zheng and colleagues collected data from 143 inpatient children with asthma exacerbations, 131 outpatients, including 88 patients with asthma exacerbations, and 43 controls with stable asthma [15]. Researchers tested for common viruses including HRV, respiratory syncytial virus (RSV), parainfluenza virus type 3 (PIV3), influenza virus (IFV), human bocavirus (HB0V1), atadenovirus (ADV), human coronavirus (HCOV), and hepatitis E virus. Of all the viruses, HRV was the most prominent among inpatients with severe asthma exacerbations at 50.3% and HCOV was the least at 0% [15]. The researchers found three variants of the HRV: HRV-A, HRV-B, and HRV-C, with HRV-C being the most virulent for severe asthma exacerbations [15]. Other studies conducted in Japan, France, and Australia have also identified rhinovirus as the most common viral culprit for asthma exacerbations [28, 60–62]. White blood cells and neutrophil counts were significantly higher in patients with all HRV variants versus those who were negative for HRV (12.38 ± 5.13 vs. 10.77 ± 4.87 and 64.70 ± 20.27 vs. 56.44 ± 21.95, respectively) [15]. Thymic stromal lymphopoietin (TSLP), a cytokine that impacts T cell maturation, also plays a role in asthma severity in patients with viral illnesses. It has been demonstrated to have a positive outcome on patients during viral infections in patients with asthma [60]. Bjerregaard et al. [60] performed a study in Australia with 44 virus-positive adolescent and adult patients (including rhinovirus, human coronavirus, parainfluenza virus, and human metapneumovirus) and 44 controls. The researchers found that patients with TSLP expression had lower levels of sputum eosinophils, lower fractional exhaled nitric oxide, higher blood neutrophils, lower asthma control questionnaire scores, and higher FEV1 in comparison to patients with low TSLP expression levels [60]. Again, these types of studies are rare for examining variances in lung function and asthma development from birth to childhood.

Respiratory Syncytial Virus

In total, four studies were found on respiratory syncytial virus (RSV) that followed children from birth to childhood for the development of asthma [10, 28–30]. Two of the RSV studies showed that males from infancy to childhood have a high tendency of developing asthma after an infection, compared to females [28, 29] (see Table 2). Two out of the four studies were retrospective cohort studies and the other two were prospective cohort studies [10, 28–30]. One of the retrospective studies showed that peak time for RSV-related hospitalizations was during autumn [29]. The RSV studies showed a high risk for asthma with RSV infection and that the cytokines IL-6, IL-1β, and IL-8 are elevated during infection, which leads to respiratory inflammation [10, 28]. Kitsantas et al. [30] conducted a 6-year long study from birth to 6 years of age, examining the risk of the development of asthma by 6 years with early exposure of RSV infection during infancy. Results showed that exposure to RSV did increase the risk of asthma by age 6 (OR = 1.99, 95% CI (1.06–3.74)). However, children who had a parent with a history of asthma posed a higher risk for childhood asthma by age 6 (OR = 3.86, 95% CI (2.61–5.71)) [30]. A maternal history of asthma has also been demonstrated by O’Connor et al. [24••] to increase the likelihood of asthma in childhood by age 7 (OR = 1.79, 95% CI (1.18–2.74)). Similar to what was discussed about fungi, asthma patients can also be colonized by viruses. Nguyen-Thi-Dieu et al. [63] conducted a cohort study in Hanoi, Vietnam, on 115 hospitalized children under the age of 15 with a diagnosis of asthma exacerbation and a control group of healthy children under the age of 15. Patients underwent a clinical examination, blood analysis for a cytokine profile, pediatric asthma score (PAS) for severity of asthma exacerbation, and nasopharyngeal aspirates to determine viral infection using real-time polymerase chain reaction (PCR). Of the 115 children diagnosed with an asthma exacerbation, there were 18.2% with a mild PAS, 37.4% with a moderate PAS, and 44% with a severe PAS [63]. Nguyen-Thi-Dieu and colleagues found that 54.8% of the asthmatic children were positive for HRV [63]. The high number of asthma patients with a severe PAS score (44%) was associated with a high number of children diagnosed with HRV [63]. The researchers also found that the percentage of leukocytes in asthmatic children with HRV was significantly higher, compared to children without HRV (76.2% vs. 59.6%, p < 0.05) [63]. No enterovirus longitudinal studies from birth to childhood were available, assessing asthma development; however, studies have been done in children with a diagnosis of asthma [64].

Enterovirus

Smith-Norowitz et al. [64] studied patients in Ireland, examining the levels of IgE and IgM antibodies (Ab) for enterovirus 71 with a mix of 77 children and adolescents, and found that asthmatic children have higher IgE Ab levels, compared to non-asthmatic children, who have higher IgM levels of Ab (p < 0.001). The levels of enterovirus IgE Ab were shown to increase with age especially among the asthmatic group [64]. Another study analyzed data on a 16-year longitudinal study with 36,935 children from infancy to 18 years of age in Taiwan and found that children were diagnosed with asthma within 2.77 years after an enterovirus infection [16]. There was also a higher incidence of asthma associated with enterovirus infection (HR = 1.65, 95% CI (1.60–1.71), p < 0.0001) [16]. Overall, the literature suggests that the rate of hospitalization due to enterovirus infection is low and does not increase asthma severity or length of hospital stay for asthma-related admissions [65, 66].

Influenza Virus

The influenza virus is a major cause of acute exacerbation of bronchial asthma (AEBA); however, rhinovirus has still been shown to be the number one viral cause of asthma exacerbations [67]. Yoshi et al. and other researchers have shown that obtaining the flu vaccine reduces AEBA morbidity significantly when compared to individuals who are unvaccinated for the influenza virus (20.5% vs. 0%), p = 0.047 [67, 68]. Influenza can worsen asthma morbidity; however, it has yet to be determined if there is a relationship pertaining to the development of asthma in association with an influenza infection [69]. Recent studies have found that certain bacteria play a role in preventative effects against the development of asthma.

Bacteria

Helicobacter pylori

Den Hollander et al. [27] performed a population-based prospective cohort study of pregnant women and their children in Rotterdam, Netherlands, and followed the children from pregnancy to 6 years of age for evaluation of asthma. Colonization of a European child with a cytotoxin-associated protein A (CagA)-negative-Helicobacter pylori (H. pylori) strain at age 6 was associated with an increased prevalence of asthma overall (OR = 2.11, 95% CI (1.23–3.60)) but was different for European children (OR = 3.64, 95% CI (1.97–6.73)) and significantly less for non-European children (OR = 0.52, 95% CI (0.14–1.89)) [11•]. There are also common bacteria within the environmental matrix that have been shown to have an effect on the development of asthma in children.

Staphylococcus

Teo et al. [26] found that early childhood nasopharynx (NP) colonization typically involved Staphylococcus or Corynebacterium, which was later replaced by Moraxella or Alloiococcus. Staphylococcus was the dominant colonizing bacteria in the early healthy NP microbiomes, but its presence declined rapidly with age. These researchers found that early asymptomatic colonization with Streptococcus increased the risk of developing asthma [26]. Most infants were initially colonized with Staphylococcus or Corynebacterium before stable colonization with Alloiococcus or Moraxella [26]. Transient incursions of Streptococcus, Moraxella, or Haemophilus marked virus-associated acute respiratory infections (ARIs) [26]. O’Connor et al. [24••] found supporting results in a study examining early-life exposure to environmental factors, including dust, fungal products, bacterial taxa; cockroach, mouse, and cat allergen; from infancy to 7 years of age. Staphylococcus, Haemophilus (Pasturellaceae), several Sphingomonas species members, and Corynebacterium were among the taxa found in children’s homes who had asthma [24••]. However, for children who did not have asthma, there was a prevalence of Alloiococcus (Aerobacteriaceae), Kocuria (Micrococcaceae), Acinetobacter (Moraxellaceae) species, and Bifidobacterium [24••]. More research is needed to investigate the mechanism of transition of bacteria from one species to another in the infant microbiome and how this may possibly contribute to the development of asthma. In addition to the microbiome, children’s genes affect how their bodies will react to their environment.

Genes and Asthma Health Outcomes

Like most illnesses, symptoms and severity can vary at the individual level based on unique genetic differences. Carnes et al. [22] found that there is a gene-by environment interaction for CD14 variant rs2569190 (pinteraction = 0.16) but not for the TLR4 variants rs4986790 and rs4986791. This research is also supported by an older study conducted by Kljaic-Bukvic et al. [70], who found that there are two genetic variants related to CD14 and endotoxin signaling that are highly related with asthma exacerbation hospital admissions. For CD14 single nucleotide polymorphism (SNP) rs5744455, carriers of the T-allele in children 5 to 18 years old had a decreased risk of repeated hospital asthma-related admissions, compared to homozygotes for the C-allele (OR = 0.42, 95% CI (0.25–0.88), p = 0.01) [70]. C-allele carriers were at lower risk of asthma-related hospitalizations in comparison with T-allele homozygotes (OR = 0.59, 95% CI (0.38–0.90), p = 0.01) [70]. A human interleukin 4 receptor alpha chain gene (IL4R) variant that results in a glutamine to arginine substitution at amino acid residue 576 (IL4Rα-Q576R polymorphism) has previously been associated with asthma diagnosis and severity [71]. Lai et al. [72] have demonstrated that there is a gene-by-environment interaction between the IL4Rα-Q576R polymorphism and environmental endotoxin exposure in school-aged children with asthma. Higher classroom endotoxin levels were associated with fewer asthma symptoms for children with the Q/Q genotype (OR = 0.76 [0.55–1.04]), an equivocal effect for the Q/R genotype (OR = 1.10 [0.78–1.55]), and increased asthma symptoms for the R/R genotype (OR = 1.34 [0.85–2.13]) [72]. In addition to genetics, exposure to animals, especially within the farm setting, has shown to play a role in asthma.

Exposure to Microbial Products Growing up on a Farm and Asthma Outcomes

The environment of a farm is a great example of exposure to all of the microbes and microbial products discussed in this review. Carnes et al. [22] found that high concentrations of endotoxin exposure at homes of people not born on a farm have a risk for the development of asthma (OR = 1.67, 95% CI (1.26–2.20), p = 0.05), compared to individuals who were born on a farm (OR = 1.18, 95% CI (1.02–1.37), p = 0.05). In addition, Lampi et al. [12] found that people born on a farm had a higher FEV1, compared to those not raised on a farm. The limitation here is that these participants in the Lampi study could be more physically fit having to do the chores of farm work, compared to people not living on a farm. Prior studies have attributed farm-specific protection from the development of asthma from endotoxin exposed in utero and during early childhood [13, 73, 74]. An older study conducted on Amish and Hutterite communities whom participate in farming activities has revealed two very different results [75, 76]. The Amish farm children of Indiana were found to have a lower prevalence of asthma and allergen sensitization (5.2% vs. 21.3% and 7.2% vs. 33.3%, respectively), compared to the Hutterite farm children of South Dakota [75, 76]. The difference between these two farming communities was that the Amish have constant direct contact with animals to do all of their farming traditionally, and the Hutterite community relies on machinery and maintains the animals in one localized area away from the community homes [75, 76]. This finding brings up a few questions. Why is early farm exposure to endotoxin related to protective effects against the development of asthma and asthma symptoms; whereas, non-farm house endotoxin exposure is generally associated with asthma and asthma exacerbations? Are there different microbes related to farm animals versus household pets, which are associated with increasing asthma symptoms [5, 31]? In a different study, Tischer et al. [25] examined the German LISAplus birth cohort and found that children who slept on animal fur during the first 3 months of life had higher exposure to endotoxin in their mattress, compared to children who did not sleep on fur. More importantly, the researchers found a decrease in the risk of asthma development by age 6 for children who slept on animal fur during the first 3 months of life (aOR = 0.56, 95%, CI (0.31–1.01). In addition, for TNF-α, IL–2, and IL–4 producing T cells, there were no significant changes found in blood levels associated with sleeping on animal fur the first 3 months of life [25].

Conclusion

This review has shed light on several different findings within the literature. Based on the information provided, sensitization within the non-farming community for bacterial, fungal, and viral products increases with IgE Ab expression and over time with age [43, 64, 77]. In terms of the fungal species, Aspergillus fumigatus has shown to induce one of the highest sensitizations for moderate/severe asthma [54, 78]. In addition, human colonization of the genera Cladosporium, Alternaria, and Penicillium have been associated with severe asthma and their ambient environmental concentration is similarly proportional in various parts of the world [41, 45, 53, 56–58]. For viruses, rhinovirus has been shown to be one of the most common triggers of a viral source for an asthma exacerbation [9, 11•, 15, 63, 79, 80]. Early exposure to endotoxin at a young age within the farm setting with direct animal contact may reduce the chances of developing asthma later in life [12, 22, 75, 76]. For children not living on a farm, growing up with a cat or dog may have a protective effect against asthma symptoms [8•, 24••]. The mechanism of this effect is yet to be understood and it appears that genetics plays a role in asthma severity especially among ethnic minorities [72].

Further Research

Further research is needed to investigate the difference in microbes between farm animals and household pets and how early exposure effects the human microbiome and the immune system’s response to inflammatory triggers. In addition, since studies have shown that people with severe asthma may be colonized with various genus of fungi, it would be worthwhile to further investigate the treatment of moderate/severe asthmatics colonized with fungi with other methods not associated with toxic side effects related to current medications for anti-fungals. In addition, more studies are needed examining the mechanism(s) for the transition of bacteria in the microbiome during childhood and how this may effect asthma outcomes. Biomarkers such as dimethylamine, a metabolite produced by bacteria within the gastrointestinal tract, may pose a clue as it has been demonstrated to decrease in concentration from higher to lower levels with the development of asthma in children [81]. Further advances are also being made with dupilumab, a monoclonal antibody that blocks a common receptor for interleukin-4 (IL-4) and interleukin-13 (IL-13), involved in type 2 inflammation [82]. In adult patients with atopic asthma, it has been shown to reduce severe asthma exacerbations [82]. This medication has recently been approved for children 12 years old and up for the treatment of severe asthma [83]. Continued exploration of the human microbiome and its interaction with the environment hopefully may lead to more discoveries.
  80 in total

Review 1.  Endotoxin tolerance: new mechanisms, molecules and clinical significance.

Authors:  Subhra K Biswas; Eduardo Lopez-Collazo
Journal:  Trends Immunol       Date:  2009-09-24       Impact factor: 16.687

2.  Residential culturable fungi, (1-3, 1-6)-β-d-glucan, and ergosterol concentrations in dust are not associated with asthma, rhinitis, or eczema diagnoses in children.

Authors:  H Choi; S Byrne; L S Larsen; T Sigsgaard; P S Thorne; L Larsson; A Sebastian; C-G Bornehag
Journal:  Indoor Air       Date:  2013-10-24       Impact factor: 5.770

3.  Presence of Household Mold, Children's Respiratory Health, and School Absenteeism: Cause for Concern.

Authors:  Eleoussa Polyzoi; Dimos Polyzois
Journal:  J Environ Health       Date:  2017-03       Impact factor: 1.179

4.  Endotoxin predictors and associated respiratory outcomes differ with climate regions in the U.S.

Authors:  Angelico Mendy; Jesse Wilkerson; Pӓivi M Salo; Richard D Cohn; Darryl C Zeldin; Peter S Thorne
Journal:  Environ Int       Date:  2017-12-23       Impact factor: 9.621

5.  Hospitalizations Associated with Respiratory Syncytial Virus and Influenza in Children, Including Children Diagnosed with Asthma.

Authors:  Edward Goldstein; Lyn Finelli; Alissa O'Halloran; Patrick Liu; Zeynal Karaca; Claudia A Steiner; Cecile Viboud; Marc Lipsitch
Journal:  Epidemiology       Date:  2019-11       Impact factor: 4.822

6.  Helicobacter pylori in children with asthmatic conditions at school age, and their mothers.

Authors:  W J den Hollander; A M M Sonnenschein-van der Voort; I L Holster; J C de Jongste; V W Jaddoe; A Hofman; G I Perez-Perez; H A Moll; M J Blaser; L Duijts; E J Kuipers
Journal:  Aliment Pharmacol Ther       Date:  2016-03-01       Impact factor: 8.171

7.  Clinical relevance of IgE-mediated sensitization against the mould Alternaria alternata in children with asthma.

Authors:  Sylvia Lehmann; Anja Sprünken; Norbert Wagner; Klaus Tenbrock; Hagen Ott
Journal:  Ther Adv Respir Dis       Date:  2016-12-14       Impact factor: 4.031

8.  Association of airborne particles, protein, and endotoxin with emergency department visits for asthma in Kyoto, Japan.

Authors:  Mohammad Shahriar Khan; Souleymane Coulibaly; Takahiro Matsumoto; Yoshitaka Yano; Makoto Miura; Yukio Nagasaka; Masayuki Shima; Nobuyuki Yamagishi; Keiji Wakabayashi; Tetsushi Watanabe
Journal:  Environ Health Prev Med       Date:  2018-08-28       Impact factor: 3.674

9.  Serum IgG Concentrations in Adult Patients Experiencing Virus-Induced Severe Asthma Exacerbations.

Authors:  Morgane Verduyn; Guillaume Botto; Julien Jaubert; Clément Lier; Thomas Flament; Laurent Guilleminault
Journal:  J Allergy Clin Immunol Pract       Date:  2019-01-14

10.  Detection of pathogens by real-time PCR in adult patients with acute exacerbation of bronchial asthma.

Authors:  Yutaka Yoshii; Kenichiro Shimizu; Miyuki Morozumi; Naoko Chiba; Kimiko Ubukata; Hironori Uruga; Shigeo Hanada; Hiroshi Wakui; Shunsuke Minagawa; Hiromichi Hara; Takanori Numata; Keisuke Saito; Jun Araya; Katsutoshi Nakayama; Kazuma Kishi; Kazuyoshi Kuwano
Journal:  BMC Pulm Med       Date:  2017-11-22       Impact factor: 3.317

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  5 in total

Review 1.  Emerging Insights into the Impact of Air Pollution on Immune-Mediated Asthma Pathogenesis.

Authors:  J A Tuazon; B Kilburg-Basnyat; L M Oldfield; R Wiscovitch-Russo; K Dunigan-Russell; A V Fedulov; K J Oestreich; K M Gowdy
Journal:  Curr Allergy Asthma Rep       Date:  2022-04-08       Impact factor: 4.919

2.  Indoor endotoxin, proximity to a major roadway, and severe asthma exacerbations among children in Puerto Rico.

Authors:  Franziska Rosser; Yueh-Ying Han; Erick Forno; Edna Acosta-Pérez; Glorisa Canino; Juan C Celedón
Journal:  Ann Allergy Asthma Immunol       Date:  2020-09-08       Impact factor: 6.347

3.  MicroRNA-370 carried by M2 macrophage-derived exosomes alleviates asthma progression through inhibiting the FGF1/MAPK/STAT1 axis.

Authors:  Chunlu Li; Chengsi Deng; Tingting Zhou; Jiapeng Hu; Bing Dai; Fei Yi; Na Tian; Lijun Jiang; Xiang Dong; Qingfeng Zhu; Siyi Zhang; Hongyan Cui; Liu Cao; Yunxiao Shang
Journal:  Int J Biol Sci       Date:  2021-04-23       Impact factor: 6.580

4.  House dust endotoxin, asthma and allergic sensitization through childhood into adolescence.

Authors:  Ulrike Gehring; Alet H Wijga; Gerard H Koppelman; Judith M Vonk; Henriëtte A Smit; Bert Brunekreef
Journal:  Clin Exp Allergy       Date:  2020-07-23       Impact factor: 5.018

5.  Innate Lymphoid Cells Are Required to Induce Airway Hyperreactivity in a Murine Neutrophilic Asthma Model.

Authors:  Anne-Charlotte Jonckheere; Sven F Seys; Brecht Steelant; Tatjana Decaesteker; Kaat Dekoster; Jonathan Cremer; Ellen Dilissen; Dominique Schols; Yoichiro Iwakura; Greetje Vande Velde; Christine Breynaert; Rik Schrijvers; Jeroen Vanoirbeek; Jan L Ceuppens; Lieven J Dupont; Dominique M A Bullens
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