Highly sensitive ELISA‐based assay for quantification of allergen‐specific IgE antibody levels

Karsonova, Antonina; Riabova, Ksenja; Villazala-Merino, Sergio; Campana, Raffaela; Niederberger, Verena; Eckl‐Dorna, Julia; Fröschl, Renate; Perkmann, Thomas; Zhernov, Yury; Elisyutina, O G; Феденко, Е С; Khaitov, Musa; Fomina, Daria; Beltiukov, Evgeniy; Hage, Marianne van; Grönlund, Hans; Valenta, Rudolf; Karaulov, Alexander; Curin, Mirela

doi:10.1111/all.14325

Cited by 17 publications

(20 citation statements)

References 10 publications

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“…cost-prohibitive. 35,36 In summary, this study illustrates the ability to integrate sIgE results from different test systems using statistical modeling. Further validation of these conversion models for peanut and tree nut allergens could establish a method for the harmonization of sIgE data produced by different test systems.…”

Section: Quantitative Conversion Models For Molecular Nut Allergensmentioning

confidence: 89%

“…Applications of this methodology are targeted toward addressing the challenges of performing global collaborations, such as the pooling of data and harmonization of phenotypic definitions between studies that are required for genetic research on food allergy 32 . This methodology could also be useful in combination with alternative IgE quantification strategies to expand allergy research in countries where established test platforms are cost‐prohibitive 35,36 …”

Section: Discussionmentioning

confidence: 99%

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Modeling the conversion between specific IgE test platforms for nut allergens in children and adolescents

Hoang

Çelik

Lupinek

et al. 2020

Allergy

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Background Multiplex tests allow for measurement of allergen‐specific IgE responses to multiple extracts and molecular allergens and have several advantages for large cohort studies. Due to significant methodological differences, test systems are difficult to integrate in meta‐analyses/systematic reviews since there is a lack of datasets with direct comparison. We aimed to create models for statistical integration of allergen‐specific IgE to peanut/tree nut allergens from three IgE test platforms. Methods Plasma from Canadian and Austrian children/adolescents with peanut/tree nut sensitization and a cohort of sensitized, high‐risk, pre‐school asthmatics (total n = 166) were measured with three R&D multiplex IgE test platforms: Allergy Explorer version 1 (ALEX) (Macro Array Dx), MeDALL‐chip (Mechanisms of Development of Allergy) (Thermo Fisher), and EUROLINE (EUROIMMUN). Skin prick test (n = 51) and ImmunoCAP (Thermo Fisher) (n = 62) results for extracts were available in a subset. Regression models (Multivariate Adaptive Regression Splines, local polynomial regression) were applied if >30% of samples were positive to the allergen. Intra‐test correlations between PR‐10 and nsLTP allergens were assessed. Results Using two regression methods, we demonstrated the ability to model allergen‐specific relationships with acceptable measures of fit (r2 = 94%‐56%) for peanut and tree nut sIgE testing at the extract and molecular‐level, in order from highest to lowest: Ara h 2, Ara h 6, Jug r 1, Ana o 3, Ara h 1, Jug r 2, and Cor a 9. Conclusion Our models support the notion that quantitative conversion is possible between sIgE multiplex platforms for extracts and molecular allergens and may provide options to aggregate data for future meta‐analysis.

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Section: Quantitative Conversion Models For Molecular Nut Allergensmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Modeling the conversion between specific IgE test platforms for nut allergens in children and adolescents

Hoang

Çelik

Lupinek

et al. 2020

Allergy

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“…The main disadvantages of such methods include a high degree of subjectivity due to the visual assessment and manual curation of results, the poor reliability and reproducibility, the selectivity of affinity interactions, and the duration of the analysis. Currently, the enzyme-linked immunosorbent assay (ELISA) is the main method for the determination of the antigen-antibody reaction and is widely recognized in allergology and immunology due to its high selectivity, reproducibility, and specificity [10,11]. In ELISA, the diagnostic marker is a measure of antigen-specific immunoglobulins of class G (IgG) or subclass G4 (IgG4) [12].…”

Section: Discussionmentioning

confidence: 99%

Determination of Specific IgG to Identify Possible Food Intolerance in Athletes Using ELISA

Malsagova¹,

Stepanov²,

Sinitsyna³

et al. 2021

Data

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Nutrition is considered one of the foundations of athletic performance, and post-workout nutritional recommendations are fundamental to the effectiveness of the recovery and adaptive processes. Therefore, at present, new directions in dietetics are being formed, focused on the creation of personalized diets. To identify the probable risk of somatic and allergic reactions upon contact with food antigens, we used the method of enzyme-linked immunosorbent assay (ELISA) for the quantitative determination of IgG antibodies in the blood plasma of athletes against protein–peptide antigens accommodated in food. The study enrolled 40 athletes of boating and fighting sport disciplines. We found that the majority of the studied participants were characterized by an elevated IgG level against one or two food allergens (barley, almond, strawberry, etc.). Comparative analysis of the semiquantitative levels of IgG antibodies in athletes engaged in boating and fighting did not reveal significant differences between these groups. As a result, foods that are likely to cause the most pronounced immune response amongst the studied participants can be identified, which may indicate the presence of food intolerances. An athlete’s diet is influenced by both external and internal factors that can reduce or worsen the symptoms of a food intolerance/allergy associated with exercise. The range of foods is wide, and the effectiveness of a diet depends on the time, the place, and environmental factors. Therefore, during the recovery period (the post-competition period), athletes are advised to follow the instructions of doctors and nutritionists. An effective, comprehensive recovery strategy during the recovery period may enhance the adaptive response to fatigue, improving muscle function and increasing exercise tolerance. The data obtained may be useful for guiding the development of a new personalized approach and dietary recommendations covering the composition of athletes’ diet and the prevalence of food intolerance.

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“…A set of 24 allergens containing mite allergens (Der p 1, Der p 2, Der p 4, Der p 5, Der p 7, Der p 10, Der p 15, Der p 18, Der p 20, Der p 21, Der p 23, Der p 37, Blo t 5, Blo t 12 and Blot 21), cat allergens (Fel d 1, Fel d 2, Fel d 3, Fel d 4 and Fel d 6), and PR10 allergens (Bet v 1, Gly m 4, Ara h 8 and Pru p 4) were spotted in triplicates on glass and silicon wafers in the order described ( Figure 3 ) ( Supplementary Materials and Methods ). In the first experiment we determined the sensitivity of IgE reactivity to Bet v 1 immobilized to glass and silicon chips using a human monoclonal chimeric IgE antibody (IgEmoAb) ( 102 ) ( Figure 4 ). A two-fold serial dilution of IgEmoAb corresponding to 208–0.025 ISU/ml was used to detect Bet v 1.…”

Section: A Comparison Of Different Surfaces For Microarrays: Glass mentioning

confidence: 99%

Microarray-Based Allergy Diagnosis: Quo Vadis?

et al. 2021

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More than 30% of the world population suffers from allergy. Allergic individuals are characterized by the production of immunoglobulin E (IgE) antibodies against innocuous environmental allergens. Upon allergen recognition IgE mediates allergen-specific immediate and late-phase allergic inflammation in different organs. The identification of the disease-causing allergens by demonstrating the presence of allergen-specific IgE is the key to precision medicine in allergy because it allows tailoring different forms of prevention and treatment according to the sensitization profiles of individual allergic patients. More than 30 years ago molecular cloning started to accelerate the identification of the disease-causing allergen molecules and enabled their production as recombinant molecules. Based on recombinant allergen molecules, molecular allergy diagnosis was introduced into clinical practice and allowed dissecting the molecular sensitization profiles of allergic patients. In 2002 it was demonstrated that microarray technology allows assembling large numbers of allergen molecules on chips for the rapid serological testing of IgE sensitizations with small volumes of serum. Since then microarrayed allergens have revolutionized research and diagnosis in allergy, but several unmet needs remain. Here we show that detection of IgE- and IgG-reactivity to a panel of respiratory allergens microarrayed onto silicon elements is more sensitive than glass-based chips. We discuss the advantages of silicon-based allergen microarrays and how this technology will allow addressing hitherto unmet needs in microarray-based allergy diagnosis. Importantly, it described how the assembly of silicon microarray elements may create different microarray formats for suiting different diagnostic applications such as quick testing of single patients, medium scale testing and fully automated large scale testing.

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Highly sensitive ELISA‐based assay for quantification of allergen‐specific IgE antibody levels

Abstract: Time to abandon the hygiene hypothesis: new perspectives on allergic disease, the human microbiome, infectious disease prevention and the role of targeted hygiene.

Cited by 17 publications

References 10 publications

Modeling the conversion between specific IgE test platforms for nut allergens in children and adolescents

Modeling the conversion between specific IgE test platforms for nut allergens in children and adolescents

Determination of Specific IgG to Identify Possible Food Intolerance in Athletes Using ELISA

Microarray-Based Allergy Diagnosis: Quo Vadis?

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