| Literature DB >> 28722755 |
M R Edwards1,2, R P Walton1,2, D J Jackson1,2,3, W Feleszko4, C Skevaki5, T Jartti6, H Makrinoti1,2, A Nikonova7,8, I P Shilovskiy7, J Schwarze9, S L Johnston1,2, M R Khaitov7.
Abstract
Asthma is responsible for approximately 25,000 deaths annually in Europe despite available medicines that maintain asthma control and reduce asthma exacerbations. Better treatments are urgently needed for the control of chronic asthma and reduction in asthma exacerbations, the major cause of asthma mortality. Much research spanning >20 years shows a strong association between microorganisms including pathogens in asthma onset, severity and exacerbation, yet with the exception of antibiotics, few treatments are available that specifically target the offending pathogens. Recent insights into the microbiome suggest that modulating commensal organisms within the gut or lung may also be a possible way to treat/prevent asthma. The European Academy of Allergy & Clinical Immunology Task Force on Anti-infectives in Asthma was initiated to investigate the potential of anti-infectives and immunomodulators in asthma. This review provides a concise summary of the current literature and aimed to identify and address key questions that concern the use of anti-infectives and both microbe- and host-based immunomodulators and their feasibility for use in asthma.Entities:
Keywords: Asthma; anti-infective; immunomodulator; infection; lung
Mesh:
Substances:
Year: 2017 PMID: 28722755 PMCID: PMC7159495 DOI: 10.1111/all.13257
Source DB: PubMed Journal: Allergy ISSN: 0105-4538 Impact factor: 13.146
Common respiratory tract pathogens linked with asthma and AE. This aspect of the field has been thoroughly reviewed elsewhere2, 120
| Pathogens | Pathogen type | Notes |
|---|---|---|
| RSV | Virus | Paediatric RSV infection is associated with asthma onset, severe bronchiolitis, wheeze and AE |
| RVs | Virus | Associated with asthma onset, trigger of AE, also associated with bronchiolitis, wheeze |
| Human metapneumoviruses | Virus | Associated with childhood wheeze and AE |
| Influenza viruses A & B | Virus | Associated with adult AE and fatal asthma |
| Parainfluenza 1, 2 & 3 | Virus | Associated with AE |
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| Bacteria | Associated with wheeze in children increased carriage in asthma by 16S rRNA abundance |
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| Bacteria | Wheeze in children, increased carriage in asthma observed by 16S rRNA abundance |
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| Bacteria | Associated with wheeze in children |
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| Atypical bacteria | Associated with AE and wheeze in children |
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| Atypical bacteria | Associated with AE and wheeze in children |
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| Fungus | Important causative agent of allergic bronchopulmonary aspergillosis (ABPA) and severe asthma with fungal sensitization (SAFS) |
| Moulds | Fungi | Can produce aerosolized allergen common in asthma epidemics associated with thunder storms, involved in severe asthma with fungal sensitization (SAFS) |
Figure 1Summary of anti‐infectives, immunomodulators and microbiome modulators and their methods of action. Anti‐infectives (such as antibiotics, antifungals and antivirals) directly act on the pathogen or its receptor limiting infection or replication. Vaccines work by boosting both innate and importantly, adaptive immune responses (provided by dendritic cells, T and B lymphocytes) to the pathogen providing long‐lasting protection. Immunomodulators including TLR agonists, BL, vitamin D act on the immune system, boosting innate immune responses providing short‐term protection. Vitamin D may act on underlying immune responses, such as inflammatory responses or allergic inflammation, reducing pathogen‐driven inflammation or pathogen‐driven enhanced allergic inflammation. Microbiome modulators such as probiotics may alter the microbiome of the gut. This may have important downstream effects on the immune system, such as those that affect respiratory immunology and asthma
Search terms & methods used for the review
| Section | Search terms & methods |
|---|---|
| Time Frame: The years between 1990 and present were rigorously searched for all sections. Where appropriate, additional older papers were also included. | |
| Antibiotics | PUBMED was searched for combinations of appropriate terms |
| Antivirals | PUBMED was searched for combinations of appropriate terms: |
| Vaccines | PUBMED was searched for combinations of appropriate terms: |
| Immunomodulators | PubMed and Academic Search Complete, CENTRAL, Health Source: Nursing/Academic Edition, MEDLINE and Cochrane databases were searched for combination of appropriate terms: |
| Antifungals | PUBMED was searched for combinations of appropriate terms: |
Figure 2Antiviral drugs and their mechanism of action. A. Inhibitors of entry to the host cell. B‐D. Inhibitors of virus replication. E. Inhibitors of virus release. Active against 1‐respiratory syncytial virus, 2‐picornaviruses, 3‐influenza viruses and 4‐wide range of viruses
Figure 3Challenges and unknowns facing new treatments for asthma exacerbations that target respiratory pathogens. Challenges facing the design and implementation of therapies that directly target pathogens or their biology (in blue) include site of infection and site of drug delivery, route of delivery, specific mechanism of action, the drug's pharmacodynamics (PD) and pharmacokinetics (PK) and also the patient demographic (Pt), subset or specific endophenotype of asthma concerned. These challenges can at least in part be addressed by preclinical studies and are often taken into account during drug design. Unknowns are also identified (in red) and can be model or pathogen specific. These include, but are not limited to, the window of therapeutic opportunity (Δt) for therapeutic treatments, which defines the time between infection and onset of clinical disease (LRTI symptoms for asthma), and importantly, this variable thus describes the window in which suppressing replication in theory will suppress symptoms and/or clinical disease. How pathogen load affects clinical disease is also controlled by a second variable (Δl), which defines the quantity of pathogen that has to be affected to observe a quantitative change in clinical disease or symptoms. The unknown c defines a comparison, between a new drug (eg antiviral) versus the standard treatment (eg GC). This unknown is important as regulatory authorities will not approve a new drug if does not show improvements or a better safety profile compared with the standard treatment already available. The unknown d represents duration of treatment; this takes into account other variables that are often difficult to predict and include the possible effects of secondary infections (eg bacterial co‐infection), drug resistance (eg as seen with macrolides), plasticity of endophenotype treated and other complexities that can impact on clinical disease after pathogen load is decreased as defined by Δl. Theoretical relationships between pathogen and load and clinical disease are based on human challenge studies with RV, in asthmatic individuals57, 58
Options for each treatment type according to age. The references cited may not necessarily involve asthmatics at each age group; however, it shows the availability of these therapies for that age group
| Age group | Treatment option | Supporting evidence |
|---|---|---|
| Pregnancy | ||
| Infancy/Preschool Age | Antivirals |
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| Macrolides |
| |
| Immunomodulators |
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| Vaccines |
| |
| School Age | Antivirals |
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| Antifungals |
| |
| Immunomodulators |
| |
| Vaccines |
| |
| Probiotics |
| |
| Adulthood | Antivirals |
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| Macrolides |
| |
| Antifungals |
| |
| Immunomodulators |
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| Probiotics |
| |
| Elderly | Macrolides |
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| Vaccines |
| |
| Immunomodulators |
| |
| Probiotics |
|