| Literature DB >> 34831860 |
Abstract
The prevalence of allergic diseases is regarded as one of the key challenges in health worldwide. Although the precise mechanisms underlying this rapid increase in prevalence are unknown, emerging evidence suggests that genetic and environmental factors play a significant role. The immune system, microbiota, viruses, and bacteria have all been linked to the onset of allergy disorders in recent years. Avoiding allergen exposure is the best treatment option; however, steroids, antihistamines, and other symptom-relieving drugs are also used. Allergen bioinformatics encompasses both computational tools/methods and allergen-related data resources for managing, archiving, and analyzing allergological data. This study highlights allergy-promoting mechanisms, algorithms, and concepts in allergen bioinformatics, as well as major areas for future research in the field of allergology.Entities:
Keywords: allergen bioinformatics; allergology; allergy; immune system; microbiota
Mesh:
Substances:
Year: 2021 PMID: 34831860 PMCID: PMC8622387 DOI: 10.3390/ijerph182212105
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Symptoms and risk factors of allergic diseases.
Symptoms, causes, and prevalence of different allergy types.
| Type of Allergy | Symptoms | Prevalence | Affected Organ | Causes | Reference |
|---|---|---|---|---|---|
| Allergic rhinatisis | Sneezing, itchy, watery, and red eyes, stuffy or runny nose, swelling around the eyes. | Affects 10–30% of the population worldwide | Nose | Genetic and environmental factors | [ |
| Asthma | Wheezing, coughing, shortness of breath, and chest tightness | Affects 3 to 9% of the population worldwide | Airways of lungs | Genetic and environmental factors | [ |
| Food allergy | Itchiness, vomiting, swelling of the tongue, hives, diarrhea, low blood pressure, trouble breathing | Affects 8% of the population worldwide | Skin, respiratory system, gastrointestinal tract | Immune response to food | [ |
| Skin allergy | Rash, itching, swelling, redness, cracked skin, flaking or scaling of skin, raised bumps | Worldwide, lifetime prevalence of above 20% | Skin | Latex, food, drugs, water, sunlight, nickel, chemicals, soap, poison oak or poison ivy | [ |
| Drug allergy | Itching, rash, fever, facial swelling, hives, shortness of breath, cardiac symptoms | Affects 10% of the population worldwide | Nose, lungs, throat, ear, lining of the stomach, and skin | Reactions to medications | [ |
| Insect allergy | Itching, pain, and swelling and appearance of redness at the sting/bite or surrounding affected areas | Many allergic severe cases have been documented with insect bites worldwide; however, there has been no systemic report. | Skin, eyes, throat, tongue | Insects bite or sting | [ |
| Anaphylaxis | Itchy rash, numbness, throat swelling, lightheadedness, shortness of breath | Affects 0.05–2% of the population worldwide | Skin, nose, throat, lungs, gastrointestinal tract | Foods, insects bites, medications | [ |
Figure 2Allergic reaction mechanisms.
Figure 3Overview of viral infection and synergistic or additive effects of allergen exposure causing IgE/TH2 and proTH2 inflammation. IL-25R: IL-25 receptor; GRO-a: melanoma growth stimulating activity-a; IL-13R: IL-13 receptor; IL-33R:IL-33 receptor; ENA-78: epithelial-derived neutrophil-activating protein 78; IL-4R: IL-4 receptor.
Figure 4Allergy inducing mechanisms of bacteria. * Eo, eosinophil; FCεR, high affinity IgE receptor; B, B cell; Bas, basophil; TSLP, thymic stromal lymphopoietin; MC, mast cell; ILC2, innate lymphoid cell type 2; DC, dendritic cell; Th, T helper cell.
Details of allergen-specific databases.
| Database | URL | Maintained by | Type of Data Archived | Last Update | Number of Allergens/Haptens/Epitopes | Reference |
|---|---|---|---|---|---|---|
| IUIS Allergen | World Health Organization (WHO) | Allergenicity, structure, sequence (isoforms/isoallergens) | Updated continuously | 853 | [ | |
| Structural Database of Allergenic Proteins (SDAP) | Sealy Centre for | IgE epitopes, structure, sequence, structural models | 2013 | 1526 | [ | |
| AllerBase | Bioinformatics Centre, | Structure and sequence | Updated continuously | 2311 | [ | |
| AllFam | Department of Pathophysiology and Allergy Research, Medical University of Vienna, Austria | Cross-link to Pfam database, | 2011 | 936 | [ | |
| Allergen Online | Food Allergy Research and Resource Program (FARRP) at the University of Nebraska-Lincoln | Allergenicity, sequence | 2016 | 1956 | [ | |
| Allergen Database For Food Safety (ADFS) | National Institute of Health, Japan | IgE epitopes, sequence, structure, small molecule allergens | 2016 | 2028 | [ | |
| AllergenPro | The National Agricultural Biotechnology Information Center | IgE epitopes, sequence | 2015 | 2434 | [ | |
| Allergome | Centre for Clinical | Sequence (isoforms/isoallergens), clinical, cross-reactivity, structure, epidemiologically | Updated continuously | 3075 | [ |
Tools/servers for allergen/allergenicity prediction.
| Server | URL | Method | Efficiency | Reference |
|---|---|---|---|---|
| AlgPred | SVM and allergen sequence features, epitopes, sequence motifs | Accuracy: 85% | [ | |
| AllerHunter | SVM and iterative pairwise sequence similarity | Accuracy: 95.3% | [ | |
| PREAL | Physicochemical and biochemical descriptors, sequence features, subcellular locations, SVM, and mRMR | Accuracy: 93.42% | [ | |
| AllergenFP | Descriptor-based fingerprints of residues, auto and cross-covariance | Accuracy: 88% | [ | |
| AllerTOP | Machine learning, | Accuracy: 85.3% | [ | |
| AllerCatPro | Sequence similarity, structure similarity | Accuracy: 84% | [ |
Tools/servers for B cell and T cell epitopes prediction.
| Type | Server | URL/Website | Method | Reference |
|---|---|---|---|---|
| Linear B cell Epitope | ABCPred | ( | ANN | [ |
| BepiPred | ( | HMM | [ | |
| LBtope | ( | SVM | [ | |
| BCPreds | ( | SVM | [ | |
| BEST | ( | SVM | [ | |
| SVMTriP | ( | SVM | [ | |
| Conformational/Discontinuous B cell Epitope | DiscoTope 2.0 | ( | Structure-based method | [ |
| B-Pred | ( | SVM | [ | |
| ElliPro | ( | Thornton’s method | [ | |
| CBTOPE | ( | SVM | [ | |
| EpiPred | ( | Structure-based method | [ | |
| T cell Epitope | EpiTOP | ( | QSAR | [ |
| CTLPred | ( | ANN, SVM | [ | |
| PREDIVAC | ( | MM | [ | |
| MHCPred | ( | QSAR | [ | |
| NetMHCIIpan-3.0 | ( | ANN | [ |