| Literature DB >> 32446884 |
Stéphanie Lejeune1, Antoine Deschildre1, Olivier Le Rouzic2, Ilka Engelmann3, Rodrigue Dessein4, Muriel Pichavant5, Philippe Gosset6.
Abstract
Exacerbations are a main characteristic of asthma. In childhood, the risk is increasing with severity. Exacerbations are a strong phenotypic marker, particularly of severe and therapy-resistant asthma. These early-life events may influence the evolution and be involved in lung function decline. In children, asthma attacks are facilitated by exposure to allergens and pollutants, but are mainly triggered by microbial agents. Multiple studies have assessed immune responses to viruses, and to a lesser extend bacteria, during asthma exacerbation. Research has identified impairment of innate immune responses in children, related to altered pathogen recognition, interferon release, or anti-viral response. Influence of this host-microbiota dialog on the adaptive immune response may be crucial, leading to the development of biased T helper (Th)2 inflammation. These dynamic interactions may impact the presentations of asthma attacks, and have long-term consequences. The aim of this review is to synthesize studies exploring immune mechanisms impairment against viruses and bacteria promoting asthma attacks in children. The potential influence of the nature of infectious agents and/or preexisting microbiota on the development of exacerbation is also addressed. We then discuss our understanding of how these diverse host-microbiota interactions in children may account for the heterogeneity of endotypes and clinical presentations. Finally, improving the knowledge of the pathophysiological processes induced by infections has led to offer new opportunities for the development of preventive or curative therapeutics for acute asthma. A better definition of asthma endotypes associated with precision medicine might lead to substantial progress in the management of severe childhood asthma.Entities:
Keywords: Acute asthma; Asthma exacerbation; Childhood; Microbiota; Therapeutics; Virus
Mesh:
Substances:
Year: 2020 PMID: 32446884 PMCID: PMC7242211 DOI: 10.1016/j.bcp.2020.114046
Source DB: PubMed Journal: Biochem Pharmacol ISSN: 0006-2952 Impact factor: 5.858
Major studies (pediatric and adult population) assessing immune responses to viral infection during asthma exacerbation.
| Compartment | Study | Design and age-group | Main results | |
|---|---|---|---|---|
| PRR | ||||
| AEC | In STRA: lower basal levels of TLR3, reduced RIG-I, MDA5 levels after RV stimulation; lower basal levels of TLR3, reduced RIG-I, MDA5 levels after RV stimulation No association with age, IgE levels, allergen reactivity, BAL/sputum neutrophils and eosinophils, lung function | |||
| AEC | In asthma: no impairment of expression of MDA5, TLR3 and reduced release of CXCL-10 | |||
| AEC | In atopic cells: impaired immune response to RV-16 in the presence of IL-4 and IL-13, through inhibition of TLR3 expression and signaling (IRF3) | |||
| AEC | ||||
| AM | In severe asthma: reduced TLR7 expression, inverse correlation with number of exacerbations Increased levels of 3 microRNAs (miR-150, miR-152, and miR-375) Restored TLR7 expression after blocking these microRNAs with anti-miRNA oligonucleotides | |||
| BAL cells PBMC | In asthma: no impairment of expression of PRR (TLR, RNA-helicases), their adaptor proteins, transcription factors downstream | |||
| Sputum Serum PBMC | Virus at exacerbation: similar TLR3, RIGI-I and MDA-5 expression on blood monocytes and DC, similar levels of IFN-β, IFN-γ, IFN-λ1 in sputum and plasma, higher airway IL-5 and eosinophils counts than patients with negative viral PCR Virus at both time: modification in PRR expression/function on PBMC, higher airway neutrophilic inflammation at steady state | |||
| Bronchial biopsies | In asthma: PRR expression (TLR3, MDA5, RIG-I) not deficient at baseline; and induced after RV both in epithelium and sub-epithelium | |||
| Type I and type III IFN | ||||
| AEC | In asthma: Impaired IFN-β, late virus release and late cell lysis, impaired apoptotic response | |||
| AEC | In STRA: IFN-β, IFN-λ1, IFN-λ2/3 mRNA levels lower and RV virus load higher No association with age, IgE levels, allergen reactivity, BAL/sputum neutrophils and eosinophils, lung function | |||
| AEC | In STRA: SOCS1 expression increased and related to IFN deficiency, increased viral replication Suppression of RV-induced IFN promoter activation in AEC by SOCS1, dependent on nuclear translocation | |||
| AEC | In asthma: reduced release of IL-6, CXCL-8 and IFN-λ in response to RV, reduced release of CXCL-10 | |||
| AEC | In asthma: greater virus proliferation and release, reduced apoptosis and wound repair (RV-B1), lower IFN-β, higher inflammatory cytokine production Addition of IFN-β: restored apoptosis, suppressed virus replication and improved repair of AEC from asthmatics, no effect on inflammatory cytokine production | |||
| AM | In severe asthma: reduced IFN responses Increased levels of 3 microRNAs (miR-150, miR-152, and miR-375): Blocking these microRNAs with anti-miRNA oligonucleotides increased IFN production | |||
| BAL cells | In asthma: induction of type I IFN delayed and deficient, associated with airway hyperresponsiveness | |||
| Bronchial biopsy specimens | In all groups vs controls: reduced type I and III IFN production, increased RV viral RNA IFN inversely correlated with airway eosinophils, IL-4, epithelial damage, total IgE (type III IFN) | |||
| Whole blood cultures | In allergic asthma: lower virus-induced IFN-α in allergic asthma/ rhinitis: higher production of IFN-γ | |||
| PBMC | In allergic asthma: significant reduction of virus-induced IFN-α release, independent of virus used; no influence of medication (cortico-steroids) | |||
| PBMC | Asthma (youth group): lower IFN-α production Asthma (youth group and adults): lower IL-6, TNF-α, IL-10 and sFasL productions Wheeze (young children): lower IL-10 associated with persistent wheeze at 2 y follow-up | |||
| PBMC | In asthma: no impairement of type I IFN in PBMC, as opposed to BAL cells | |||
| PBMC | Allergic asthma: lower IFN-responses after cross-linking FcεRI (vs sensitization and vs controls); higher surface expression of FcεRI on pDC and mDC Inverse relationship between total IgE and diminished IFN secretion, only when cross-linking of FcεRI | |||
| PBMC | In neutrophilic asthma: significantly less IFN-α than PBMC from eosinophilic and paucigranulocytic asthma after RV; IFN-α inversely correlated with serum IL-6, sputum IL-1β Sputum neutrophils and dose of inhaled corticosteroids independent predictors of reduced IFN-α | |||
| Type I and type III IFN | ||||
| Bronchial biopsies | In asthma: IFNα/β deficiency in epithelium, at baseline, day 4 and week 6 post-inoculation; correlated with viral load, and clinical severity Sub-epithelium: lower frequencies of monocytes/macrophages expressing IFNα/β after RV infection in sub-epithelium; subepithelial neutrophils were the source of IFNα/β | |||
| BAL monocytes and AM | In asthma/ | |||
| Nasal washes | Specific association between RV infection and asthma exacerbation, but no difference in virus titers, RV species and inflammatory or allergic molecules between RV + wheezing and non-wheezing children In RV + wheezing children: IFN-λ1 level higher, increased with worsening symptoms | |||
| Nasal washes | ||||
| Nasal washes Induced sputum | In asthma, at exacerbation: sputum RNA levels of IFN-α1, IFN-β1 and IFN-γ correlated with exacerbation and the peak Asthma Index, early in the course of infection, higher levels of IL-13, IL-10 | |||
| Serum PBMC | ||||
| Sputum Serum PBMC | Virus at exacerbation: similar levels of IFN-β, IFN-γ, IFN-λ1 in sputum and plasma, higher airway IL-5 and eosinophils Virus at both time: lower levels of IFN-γ in plasma and sputum at exacerbation, higher airway neutrophilic inflammation at steady state | |||
| Sputum Plasma | Children prone to exacerbation: lower plasma concentrations of IFN-β and CXCL10 at exacerbation, and lower plasma levels of CXCL10 at steady state | |||
| Alarmins and cytokines | ||||
| Co-culture AEC and T cells | Prolonged RSV infection in AEC induced T cells differentiation in Th2 and Th17 subsets that released IL-4, IFN-γ and IL-17 induced by supernatants from RSV-infected AEC | |||
| AEC | Production of TSLP after infection of AEC with RSV, via activation of an innate signaling pathway that involved retinoic acid induced gene I, interferon promoter-stimulating factor 1, and nuclear factor-κB. Greater levels of TSLP after RSV infection in AEC from asthmatic children than from healthy children | |||
| PBMC | In asthmatic cells: IL-5 and IL-13 release induced by RV, enhanced by IL-33, surface protein expression of ST2 induced by IL-33 Predominant source of IL-13 release: ILC2 In healthy cells: IL-33 had no effect on IL-5 and IL-13 production | |||
| BAL PBMC | ||||
| PBMC Serum Nasal washes | ||||
| Nasopharyngeal aspirates | RV bronchiolitis: increased IL-4/IFN-γ and decreased TNF-α/IL-10 ratios, compared with RV pneumonia | |||
| Sputum Plasma | Children prone to exacerbation: lower plasma concentrations of IFN-γ, IL-5, TNF-α, IL-10, and lower levels of IFN-γ in sputum at exacerbation At steady state, lower plasma levels of IFN-γ | |||
Studies conducted in animal models, and/or without administration of viral particles (e.g. administration of TLR agonists, double-stranded RNAs) were not included in this table.
AEC: Airway epithelial cells; AM: Alveolar macrophages; BAL: broncho-alveolar lavage; CCL: C–C motif ligand; CXCL: C-X-C motif ligand; FcεRI: high-affinity IgE receptor; IgE: Immunoglobulin E; IFN: Interferon; IL: Interleukin; ILC2: type 2 innate lymphoid cells; IRF: interferon regulatory factor; mDC: myeloid dendritic cells; LPS: Lipopolysaccharides ; MDA-5: melanoma differentiation-associated protein 5; NDV: Newcastle disease virus; PBMC: peripheral blood mononuclear cells; pDC: plasmacytoid dendritic cells; PBMC: Peripheral blood mononuclear cells; PCR: Polymerase chain reaction; PIV3: parainfluenza virus type 3; PRR: pattern recognition receptor; RIGI-I: retinoic-acid inducible gene I; RSV: Respiratory syncytial virus; RV: Rhinovirus; sFasL: Serum Soluble Fas Ligand; sICAM-1: Soluble intercellular adhesion molecule-1; siRNA: small interfering RNA; SOCS1: Suppressor Of Cytokine Signaling 1; sST2: soluble suppression of tumorigenicity 2 (IL-33 receptor IL1RL1); STAT: signal transducer and activator of transcription; STRA: severe therapy resistant asthma; Th2: T helper 2; TLR: Toll like receptor; TNF: Tumor necrosis factor.
Fig. 1Summary of the main mechanisms favoring asthma development and involved in asthma attack. These mechanisms (in red) involve: (1) Impairment of innate immune responses; (2) Influence of the host-microbiota dialog on Th2 inflammation; (3) Pathogen characteristics; (4) Airway leukocyte inflammation. These dynamic interactions may impact the presentations of asthma attacks, and have long-term consequences. AM: Alveolar macrophages; AEC: airway epithelial cells; DC: dendritic cells; IFN: Interferon; IL: Interleukin; ILC2: type 2 innate lymphoid cells; IRF: interferon regulatory factor; PAMP: Pathogen-associated molecular pattern; PRR: pattern recognition receptor; RV: Rhinovirus; TSLP: Thymic stromal lymphopoietin.
Major human studies (pediatric and adult population) assessing the impact of pathogenic bacteria and microbiota during the development, the attack and the natural history of pediatric asthma.
| Compartment | Study | Design and age-group | Main results | |
|---|---|---|---|---|
| Asthma development | Hypopharynx | Hypopharyngeal samples were cultured from 321 | 21% of children were colonized with | |
| Gut microbiota | 319 | Children at risk of asthma exhibited transient gut microbial dysbiosis during the first 100 days of life | ||
| Lung | 213, 661 | 36.8% of children were exposed prenatally to antibiotics and 10.1% developed asthma. | ||
| 4,952 | Children reported to have taken antibiotics during infancy (0–2 yr) were more likely to have asthma. | |||
| Gut microbiota | 2,644 | Reduction in asthma incidence over the study period was associated with decreasing antibiotic use in the first year of life.Asthma diagnosis in childhood was associated with infant antibiotic use (adjusted odds ratio [aOR] 2.15) | ||
| Acute asthma | Nasopharynx | The MARC-35 prospective cohort study of 1,016 | RSV infection was associated with high abundance of | |
| Nasopharynx | 106 | 5 nasopharyngeal microbiota clusters were identified, characterized by high levels of either | ||
| Nasopharynx | 17 | Asymptomatic RV infections were associated with a significant increase in the abundance of | ||
| Blood | 14 asthmatic and 29 non-asthmatic | Higher blood concentrations of CCL2 and CCL5 in infected asthmatic patients than in non-asthmatic patients. Both asthmatic and non-asthmatics with pneumonia or bronchitis had higher concentrations of blood cytokines. | ||
| Pharynx | Pharyngeal samples of | The 3 major bacterial pathogens were | ||
| Asthma natural history | Nasopharynx | 244 | Dominance with | |
| Nasal microbiota | A 1 year longitudinal study in | Children with nasal microbiota dominated by the commensal | ||
| Lung | 842 | Increased abundance of | ||
| Oropharynx | Oropharyngeal swabs were collected from 109 | No significant difference in bacterial diversity between wheezers and healthy controls | ||
| Nasopharynx | 312 | Nasal microbiotas dominated by | ||
| Sputum | Sputum samples were collected in 100 severe asthmatics of the U-BIOPRED | Two microbiome-driven clusters were identified, characterized by asthma onset, smoking status, treatment, lung spirometry results, percentage of neutrophils and macrophages in sputum. | ||
| Lung (BAL) | There was no relationship between lower airway inflammation or infection and clinical preschool wheeze phenotypes. | |||
BAL: Broncho-alveolar lavage; EVW: Episodic Viral Wheeze, MTW: Multiple trigger Wheeze, RSV: Respiratory syncytial virus; RV: Rhinovirus.
Fig. 2Possible therapeutics strategies to limit asthma development/progression and attacks. These strategies (in green) target: (1) Enhancement of the innate immune responses; (2) Anti-infectious therapeutics and strategies to modulate the microbiota; (3) Alarmins and anti-Th2 biologics. AM: Alveolar macrophages; AEC: airway epithelial cells; DC: dendritic cells; IFN: Interferon; IL: Interleukin; ILC2: type 2 innate lymphoid cells; IRF: interferon regulatory factor; PAMP: Pathogen-associated molecular pattern; PRR: pattern recognition receptor; RV: Rhinovirus; SCFA: Short Chain Fatty Acid, TSLP: Thymic stromal lymphopoietin.