Cow's milk allergic children-Can component-resolved diagnostics predict duration and severity?

The evolution of nutritional care in children with food allergies - With a focus on cow's milk allergy

Cow's milk allergy (CMA) remains one of the most common and complex paediatric food allergies. In the last decade, our understanding has advanced in terms of immunoglobulin E (IgE)-mediated CMA and focus is now also paid to non-IgE-mediated CMA, particularly in some Western countries where incidence rates are high. We have had significant progress in the last 10 years in relation to our understanding of existing supportive tests for IgE-mediated CMA, with the advancement of newer tests, such as the basophil activation test (BAT), which have shown great promise. However, little advancement has been made in terms of tests for non-IgE-mediated CMA, and controversy still exists around symptoms. Our understanding of the natural history of CMA has also advanced with more awareness of different phenotypes. While the mainstay of management remains cow's milk elimination, the importance of supporting breastfeeding and avoidance of unwarranted cow's milk elimination diets in breastfeeding mothers has been highlighted. For non-breastfed children, there has been some advancement in the formulas offered for the management of CMA, including the recognition of hydrolysed rice-based formulas and increased demand for nutritionally complete plant-based options, some of which are currently being assessed. The addition of pro, pre and synbiotics is considered safe to use, although research and guidance on routine use remain absent. Knowledge of tolerance induction from studies on the early introduction of peanuts has also highlighted the importance of a more active approach to managing CMA with the use of milk ladders, primarily in non-IgE-mediated CMA and baked milk (BM) introduction in IgE-mediated CMA. In addition, modulation of the microbiome and diet diversity during complementary feeding has been a major advancement in the last 10 years. While data on poor growth and feeding difficulties in children with CMA has not changed much, increased rates of obesity are now also reported. Finally, novel approaches, including oral immunotherapy, the use of milk ladders and earlier consideration of BM, have advanced somewhat in the last decade, although the risks and benefits of these novel approaches require further research. While CMA remains a complicated allergy to diagnose and manage, the evolution of science has advanced our knowledge and brought some novel innovations, which combined have enhanced our practice.

Epitope profiling of cow's milk allergen-specific antibodies with determining IgE content in epitopes-ALL, a 14-epitopes mixture

Allergen-specific antibodies (Abs), IgE, and IgG4 increase during the early phase of oral immunotherapy (OIT) of allergen food in patients; subsequently, IgE levels decrease and specific IgG4 levels increase after successful OIT treatment. The detailed profile of these Abs during OIT remains largely unclear. We developed a diagnostic tool to assess the OIT efficacy and extent of responsiveness based on a profiling method by identifying epitopes recognized by the Ab classes of IgE or IgG4. A peptide microarray followed by microplate analysis using synthetic peptides was used to identify 14 epitopes widely recognized by IgE and/or IgG4 in the serum samples of patients with OIT among the amino acid sequences of five major cow's milk allergens. The set of defined 14 epitopes clarified different epitope profiles of allergen-specific IgE and IgG4 in each patient's serum samples. Moreover, the total signal of Abs recognizing all 14 epitopes was equal to the sum of all individual epitope-specific Abs. It was further observed that the quantitative value of IgE concentrations of 14 epitopes-ALL correlated with the ImmunoCAP IgE value. These findings strongly imply that the quantity of IgE and IgG4 recognizing epitopes-ALL may easily be used to measure allergy severity. To investigate this potential, we developed an immunochromatographic method that can detect IgE and IgG4 levels in patient samples. This study clearly demonstrated the usefulness of the defined 14 epitopes and their mixture, "epitopes-ALL," and that the simple and reliable methods of immunochromatography and microplate analyses demonstrating the epitope profile of allergen-specific Abs are applicable for diagnostic use at multiple disease stages and the OIT-treatment course in patients with cow's milk allergy.

Molecular allergology: a clinical laboratory tool for precision diagnosis, stratification and follow-up of allergic patients

Identification of the molecular culprits of allergic reactions leveraged molecular allergology applications in clinical laboratory medicine. Molecular allergology shifted the focus from complex, heterogeneous allergenic extracts, e.g. pollen, food, or insect venom, towards genetically and immunologically defined proteins available for in vitro diagnosis. Molecular allergology is a precision medicine approach for the diagnosis, stratification, therapeutic management, follow-up and prognostic evaluation of patients within a large range of allergic diseases. Exclusively available for in vitro diagnosis, molecular allergology is nonredundant with any of the current clinical tools for allergy investigation. As an example of a major application, discrimination of genuine sensitization from allergen cross-reactivity at the molecular level allows the proper targeting of the culprit allergen and thus dramatically improves patient management. This review aims at introducing clinical laboratory specialists to molecular allergology, from the biochemical and genetic bases, through immunological concepts, to daily use in the diagnosis and management of allergic diseases.

Predictive modeling for cow's milk allergy remission by low-dose oral immunotherapy in young children

Background

The effectiveness of slow low-dose oral immunotherapy (SLOIT) for cow's milk (CM) allergy has been reported. Most OIT studies have discussed the target populations over 4 years old. Furthermore, no predicting modeling is reported for CM allergy remission by CM-SLOIT under 4 years of age.

Objective

We sought to develop a predictive model for CM allergy remission by SLOIT after 3 years in young children who started CM-SLOIT under 4 years of age.

Methods

We included young children with cow's milk allergy or cow's milk sensitization (development modeling set with 120 children and validation modeling set with 71 children). We did logistic regression analysis to develop the models. We calculated the area under the receiver operating curves (ROC-AUCs) to evaluate the predictive modeling performance.

Results

The model (CM-sIgE before SLOIT + age at beginning SLOIT + serum TARC before starting SLOIT + CM-sIgE titer one year after OIT) showed good discrimination with the ROC-AUC of 0.83 (95% CI:0.76-0.91) on internal validation. Applying the model to the validation set gave good discrimination (ROC-AUC = 0.89, 95% CI:0.80-0.97) and a reasonable calibration (intraclass correlation coefficient = 0.88, 95% CI:0.62-0.97).

Conclusion

We developed and validated predictive modeling for determining the remission rate of CM allergy at 3 years after SLOIT under 4 years of age in children with CM allergy. This predictive model is highly accurate and can support CM allergy management. (226 words).

Basophil allergen threshold sensitivity to casein (casein-specific CD-sens) predicts allergic reactions at a milk challenge in most but not all patients

BACKGROUND

The basophil activation test is an emerging clinical tool in the diagnosis of cow's milk allergy (CMA). The aim was to assess the association between the basophil allergen threshold sensitivity to the major milk protein casein (casein-specific CD-sens), the levels of milk- and casein-specific Immunoglobulin E antibodies (IgE-ab), and the severity of allergic reactions at milk challenges.

METHODS

We enrolled 34 patients aged 5-15 (median 9) years who underwent a double-blind placebo-controlled milk-challenge (DBPCMC) as screening before inclusion in an oral immunotherapy study for CMA. The severity of the allergic reaction at the DBPCMC was graded using Sampson's severity score. Venous blood was drawn before the DBPCMC. Milk- and casein-specific IgE-ab were analyzed. Following in vitro stimulation of basophils with casein, casein-specific CD-sens, was determined.

RESULTS

Thirty-three patients completed the DBPCMC. There were strong correlations between casein-specific CD-sens and IgE-ab to milk (rs = 0.682, p < .001), and between casein-specific CD-sens and IgE-ab to casein (rs = 0.823, p < .001). There was a correlation between the severity of the allergic reaction and casein-specific CD-sens level (rs = 0.395, p = .041) and an inverse correlation between casein-specific CD-sens level and the cumulative dose of milk protein to which the patient reacted at the DBPCMC (rs = -0.418, p = .027). Among the 30 patients with an allergic reaction at the DBPCMC, 67% had positive casein-specific CD-sens, 23% had negative casein-specific CD-sens, and 10% were declared non-responders.

CONCLUSION

Two thirds of those reacting at the DBPMC had positive casein-specific CD-sens, but reactions also occurred despite negative casein-specific CD-sens. The association between casein-specific CD-sens and the severity of the allergic reaction and cumulative dose of milk protein, respectively, was moderate.

Challenges implementing recent recommendations of daily formula supplementation for allergy prevention and practical real-world options

The Canadian Paediatric Society's Position statement 'Dietary exposures and allergy prevention in high-risk infants' December 2021 provides recommendations for regular ingestion of cow's milk protein (CMP) once introduced in early infancy. These recommendations are based on evidence from randomized controlled trials (RCTs) where researchers supported participants in adhering to diet recommendations. Real-life dilemmas that relate to dietary adherence including cost, food wastage, and practicality are not addressed and are the crux of where -evidence-based recommendations fail. This commentary highlights the difficulties in carrying out the proposed recommendation for regular ingestion of CMP in practice and offers three practical real-world options instead.

Molecular Allergy Diagnostics in Children with Cow's Milk Allergy: Prediction of Oral Food Challenge Response in Clinical Practice

BACKGROUND

Cow's milk allergy (CMA) is the most common food allergy in early childhood. Children with CMA require a precise and punctual diagnosis. Oral food challenge (OFC) is the gold-standard procedure for diagnosing allergies, but it is laborious and requires a particular setting. The aim of the study was to identify the cutoff value of serum allergen-specific IgE values able to predict a positive response to OFC.

METHODS

Children with suspected CMA performed OFC with cow's milk (CM) or derivatives. Total IgE and specific IgE to raw CM, α-lactalbumin, β-lactoglobulin, and casein were measured.

RESULTS

Seventy-two children performed OFC, and 30 (41.6%) had a positive response. The significant predictive factors were sensitization to raw CM extract (p = 0.03), α-lactalbumin (p = 0.013), β-lactoglobulin (p = 0.09), and casein (p = 0.019). The cutoff was, respectively: 5.13 kUA/L for raw CM, 1.47 for α-lactalbumin, 1.35 for β-lactoglobulin, and 4.87 for casein.

CONCLUSIONS

This study allowed us to define a set of cutoff values for CM protein-specific IgE. However, these cutoffs should be interpreted not as a diagnostic tool for CMA but only predictive of response to OFC in a specific territory. Thus, the practical message may be that a value above the cutoff allows a good approximation to identify children to be started on OFC.

Molecular allergy diagnostics in predicting oral cow's milk challenge outcome in Finnish children

Background: Oral food challenges (OFC) are required to diagnose food allergies but are resource-intensive. Objective: To reduce the need for OFCs, we sought to determine serum specific immunoglobulin E (sIgE) cutoff levels for cow's milk and its major allergens predicting oral milk challenge outcomes in children with suspected cow's milk allergy. Methods: A total of 135 Finnish children (median age, 1.8 years [range, 1.0-14.1 years]) with suspected cow's milk allergy underwent open OFC with unheated cow's milk. The sIgE levels to milk (f2), casein (Bos d 8), alpha-lactalbumin (Bos d 4), beta-lactoglobulin (Bos d 5), and bovine serum albumin (BSA) (Bos d 6) were measured and compared with the challenge outcomes. Results: Of the 135 OFCs, 5 were excluded from the study due to purely subjective symptoms. Of the 130 remaining OFCs, 98 results (75%) were positive. In a receiver operating characteristic analysis with 1-2-year-old children, no individual allergen sIgE had a better area under the curve than milk sIgE (0.824). A milk sIgE level > 6.30 kU/L gave 94% specificity and 33% sensitivity for positive OFCs. In 3-14-year-old children, a cutoff value >13.9 kU/L predicted a positive OFC result with 93% specificity and 25% sensitivity. Children with moderate-to-severe reactions had higher sIgE levels to milk, alpha-lactalbumin, and BSA than did children with mild reactions. Conclusion: Molecular allergy diagnostics did not improve the predictive performance compared with milk sIgE. The milk sIgE value that exceeds the cutoff for 95% specificity in combination with the clinical history may help to reduce the need for OFCs. The severity of an allergic reaction cannot reliably be predicted from sIgE measurements.

Risk factors for severe reactions in food allergy: Rapid evidence review with meta-analysis

This rapid review summarizes the most up to date evidence about the risk factors for severe food-induced allergic reactions. We searched three bibliographic databases for studies published between January 2010 and August 2021. We included 88 studies and synthesized the evidence narratively, undertaking meta-analysis where appropriate. Significant uncertainties remain with respect to the prediction of severe reactions, both anaphylaxis and/or severe anaphylaxis refractory to treatment. Prior anaphylaxis, an asthma diagnosis, IgE sensitization or basophil activation tests are not good predictors. Some molecular allergology markers may be helpful. Hospital presentations for anaphylaxis are highest in young children, yet this age group appears at lower risk of severe outcomes. Risk of severe outcomes is greatest in adolescence and young adulthood, but the contribution of risk taking behaviour in contributing to severe outcomes is unclear. Evidence for an impact of cofactors on severity is lacking, although food-dependent exercise-induced anaphylaxis may be an exception. Some medications such as beta-blockers or ACE inhibitors may increase severity, but appear less important than age as a factor in life-threatening reactions. The relationship between dose of exposure and severity is unclear. Delays in symptom recognition and anaphylaxis treatment have been associated with more severe outcomes. An absence of prior anaphylaxis does not exclude its future risk.

Modern diagnostics in IgE-mediated cow’s milk allergy

Cow's milk allergy (CMA) is the most common food allergy in infants and young children. Allergic reactions can vary from mild to severe, like an anaphylactic shock. In case of CMA diagnosis suspicion skin prick tests (SPT), immunoassays of specific IgE (sIgE) in blood serum (in vitro tests) and oral food challenge (OFC) tests can be performed.  SPT wheal diameter and the level of serum specific IgE to milk do not correlate with severity of clinical symptoms, while procedure of OFC is often difficult or even imposible in practice. Therefore component resolved-diagnostics (CRD) tests are a new diagnostic tool, which allows for a better correlation of laboratory test results with the observed clinical symptoms and indicate the triggering allergens.

IgE-Mediated food allergy: Current diagnostic modalities and novel biomarkers with robust potential

Food allergy (FA) is a serious public health issue afflicting millions of people globally, with an estimated prevalence ranging from 1-10%. Management of FA is challenging due to overly restrictive diets and the lack of diagnostic approaches with high accuracy and prediction. Although measurement of serum-specific antibodies combined with patient medical history and skin prick test is a useful diagnostic tool, it is still an imprecise predictor of clinical reactivity with a high false-positive rate. The double-blind placebo-controlled food challenge represents the gold standard for FA diagnosis; however, it requires large healthcare and involves the risk of acute onset of allergic reactions. Improvement in our understanding of the molecular mechanism underlying allergic disease pathology, development of omics-based methods, and advances in bioinformatics have boosted the generation of a number of robust diagnostic biomarkers of FA. In this review, we discuss how traditional diagnostic modalities guide appropriate diagnosis and management of FA in clinical practice, as well as uncover the potential of the latest biomarkers for the diagnosis, monitoring, and prediction of FA. We also raise perspectives for precise and targeted medical intervention to fill the gap in the diagnosis of FA.

Oral Immunotherapy in Food Allergy: A Critical Pediatric Perspective

There is evidence that in children with persistent IgE-mediated food allergy (FA) to cow's milk, hen's egg, and peanut, oral allergen-specific immunotherapy (OIT) may increase the reaction threshold to the culprit food allergen(s). OIT may protect patients from the occurrence of severe reactions in case of accidental ingestion of the culprit food during treatment. Notwithstanding, many gaps are still unsolved, including safety issues, identification of predictive biomarkers, and post-desensitization efficacy. In this perspective, the use of omalizumab (Anti-IgE monoclonal antibody) has been proposed as an adjunctive treatment to OIT in order to reduce the risk of allergic reactions related to OIT. This review aims to summarize the current evidence and unmet needs on OIT in children with FA to enhance the development of longitudinal, prospective, and well-designed studies able to fill the current gaps soon.

Effects of Cow's Milk Components, Goat's Milk and Sheep's Milk Sensitivities on Clinical Findings, and Tolerance Development in Cow's Milk Allergy

Objective:

Cow’s milk (CM) contains some proteins capable of causing an allergic reaction in a sensitized individual and one of the most common causes of food allergy in childhood. Most of the patients will develop tolerance by the age of 3. In this study, we aimed to evaluate sensitivity to CM allergen components as well as goat’s milk (GM) and sheep’s milk cross reactions in cow’s milk allergic (CMA) patients and to figure out the risk factors for tolerance non-development.

Methods:

This is a retrospective cross-sectional study including 66 patients for IgE-mediated CMA with mean age of 38 months. We evaluated the patients in two groups: Group 1 (n=50): Patients who have no tolerance in oral food challenge test; Group 2 (n= 16): Patients who were found tolerant to CM after elimination diet. Cow’s milk-spesific IgE(sIgE), α-lactalbumin(ALA)-sIgE, β-Lactoglobulin(BLG)-sIgE, casein-sIgE, goat’s milk-sIgE, sheep’s milk-sIgE, skin prick tests(SPTs) with CM and GM, eosinophils in peripheral blood were all compared between two groups.

Results:

In the whole group, goat’s milk-sIgE and sheep’s milk-sIgE were positive in 84.8% and ALA-sIgE, BLG-sIgE, casein-sIgE were positive in 69.7%, 62.7%, 77.3% of the patients, respectively. Two groups were similar in terms of age at onset and diagnosis, gender, median elimination period, total IgE levels, cow’s milk-sIgE and eosinophilia (p>0.05). Mean wheal diameters of CM and GM in SPT (p<0.001), goat’s milk-sIgE (p=0.03), sheep’s milk-sIgE (p=0.01) were significantly higher in Group 1. Cow’s milk-sIgE showed a positive correlation with total IgE (p=0.001), eosinophilia percentage (p=0.04), CM wheal diameter in SPT (p=0.001), casein-sIgE (p<0.001), goat’s milk-sIgE (p<0.001), sheep’s milk-sIgE (p<0.001) in Group 1. Patients with respiratory symptoms and history of anaphylaxis had higher cow’s milk-SPT, cow’s milk-sIgE, casein-sIgE, goat’s milk-sIgE, sheep’s milk-sIgE levels(p<0.05). Gastrointestinal and skin symptoms showed no relation with laboratory findings. Any patient with a history of anaphylaxis did not develop tolerance.

Conclusions:

As with cow’s milk-sIgE levels and high induration diameters in SPT; high casein-sIgE, sheep’s milk-sIgE and goat’s milk-sIgE levels are also risk factors for persistence of CMA. Anaphylaxis, as a first reaction, may also be a risk factor. High cow’s milk-sIgE, casein-sIgE, sheep’s milk-sIgE, goat’s milk-sIgE levels are associated with respiratory symptoms.

Oral Immunotherapy for Children with Cow's Milk Allergy

Cow's milk allergy (CMA) is one of the most common IgE-dependent food allergies in children. Some children develop severe and persistent CMA, with near-fatal reactions after exposure to trace amounts of cow's milk (CM). Because milk and dairy products are included in various processed food products, it is difficult to completely remove milk, which negatively affects the quality of life of children with CMA. Oral immunotherapy (OIT) can alleviate food allergen-induced anaphylaxis under continuous ingestion of a little of the causative food. Children with severe CMA may benefit from OIT, but the treatment requires a long time and poses a risk of anaphylaxis. Moreover, in recent years, new therapies, including omalizumab, sublingual immunotherapy, and epicutaneous immunotherapy, have played the role of optional OIT. In this review, we present the current methods of and other attempts at OIT, and discuss OIT for safely treating CMA.

Consensus on DEfinition of Food Allergy SEverity (DEFASE) an integrated mixed methods systematic review

BACKGROUND AND AIMS

The term "Food Allergy" refers to a complex global health problem with a wide spectrum of severity. However, a uniform definition of severe food allergy is currently missing. This systematic review is the preliminary step towards a state-of-the-art synopsis of the current evidence relating to the severity of IgE-mediated food allergy; it will inform attempts to develop a consensus to define food allergy severity by clinicians and other stakeholders.

METHODS

We undertook a mixed-methods systematic review, which involved searching 11 international biomedical databases for published studies from inception to 31 December 2019. Studies were independently screened against pre-defined eligibility criteria and critically appraised by established instruments. The substantial heterogeneity of included studies precluded meta-analyses and, therefore, narrative synthesis of quantitative and qualitative data was performed.

RESULTS

We found 23 studies providing eligible primary data on symptom-specific severity of food allergic reactions, and 31 previously published symptom-severity scoring systems referred to food allergic reactions. There were seven studies which assessed quality-of-life measures in patients (and family members) with different food allergy severity and two studies that investigated the economic burden of food allergy severity. Overall, the quality and the global rating of all included studies were judged as being moderate.

CONCLUSIONS

There is heterogeneity among severity scoring systems used and even outcomes considered in the context of severity of food allergy. No score has been validated. Our results will be used to inform the development of an international consensus to define the severity of food allergy.

SYSTEMATIC REVIEW REGISTRATION

A protocol was prospectively registered with the International Prospective Register of Systematic Reviews (PROSPERO) database with the registration number CRD42020183103 (https://www.crd.york.ac.uk/prospero/#recordDetails).

Food allergy severity predictions based on cellular in vitro tests

INTRODUCTION

Food allergy is increasing in prevalence and the severity of allergic reactions is unpredictable. Identifying food-allergic patients at high risk of severe reactions would allow us to offer a personalized and improved management for these patients.

AREAS COVERED

We review the evidence for using the levels of specific IgE, the nature of the allergen, and cellular tests to identify patients at high risk of developing severe allergic reactions to foods.

EXPERT OPINION

The evidence about whether the quantity of allergen-specific IgE reflects the severity of allergic reactions to foods is conflicting, with some positive and some negative studies. For some foods, specific IgE to individual components (e.g. Ara h 2 in peanut) can provide additional information. However, more important than the quantity of IgE is possibly the quality of IgE, which can be captured by individual measurements of affinity/avidity, diversity, and specific activity, but is best measured overall using the basophil and mast cell activation tests, which assess the function of IgE in its ability to induce cell activation, degranulation, and mediator release. Biomarkers look at a single aspect of the allergic response and should be interpreted in the broader clinical context for each individual patient assessed.

Precision medicine in cow's milk allergy

PURPOSE OF REVIEW

The aim of this review is to describe the role of precision medicine in the diagnosis, treatment, and monitoring of cow's milk allergy.

RECENT FINDINGS

The development of 'omics' sciences in the field of food allergy has led to a better understanding of the allergenicity of cow's milk proteins and significant advances in the knowledge of the pathogenesis and mechanisms of cow's milk allergy. Omics-based technologies allow the practitioner to better differentiate cow's milk allergy subtypes and to predict cow's milk allergy (CMA) persistence over time. Precision medicine extends the role of the oral food challenge, to determine the individual's threshold doses, and to establish tolerance to baked milk products. Other than symptom relief, dietary strategies are currently being investigated for the potential to induce tolerance. Oral immunotherapy offers a treatment option for patients with severe and persistent IgE-mediated CMA. Individual baseline-immune profiles may be predictive of cow's milk oral immunotherapy safety and efficacy.Patient data derived from current technology, in combination with the patient's history, can be translated into treatments targeted at patient-tailored interventions.

SUMMARY

The identification of novel biomarkers may improve diagnostic accuracy and also predict patient responsiveness to treatments. Integration of patient data will become increasingly important as omics technologies become more widely used in the clinical setting.

A WAO - ARIA - GA2LEN consensus document on molecular-based allergy diagnosis (PAMD@): Update 2020

Precision allergy molecular diagnostic applications (PAMD@) is increasingly entering routine care. Currently, more than 130 allergenic molecules from more than 50 allergy sources are commercially available for in vitro specific immunoglobulin E (sIgE) testing. Since the last publication of this consensus document, a great deal of new information has become available regarding this topic, with over 100 publications in the last year alone. It thus seems quite reasonable to publish an update. It is imperative that clinicians and immunologists specifically trained in allergology keep abreast of the new and rapidly evolving evidence available for PAMD@.

PAMD@ may initially appear complex to interpret; however, with increasing experience, the information gained provides relevant information for the allergist. This is especially true for food allergy, Hymenoptera allergy, and for the selection of allergen immunotherapy. Nevertheless, all sIgE tests, including PAMD@, should be evaluated within the framework of a patient's clinical history, because allergen sensitization does not necessarily imply clinical relevant allergies.

Food and drug allergy, and anaphylaxis in EAACI journals (2018)

The European Academy of Allergy and Clinical Immunology (EAACI) supports three journals: "Allergy," "Pediatric Allergy and Immunology (PAI)," and "Clinical and Translational Allergy (CTA)." One of the major goals of EAACI is to support health promotion in which prevention of allergy and asthma plays a critical role and to disseminate the knowledge of allergy to all stakeholders including the EAACI junior members. This paper summarizes the achievements of 2018 in anaphylaxis, and food and drug allergy. Main topics that have been focused are anaphylaxis, mechanisms of food allergy (FA), epidemiology of FA, food allergens, diagnosis of FA, prevention and control of FA, FA immunotherapy, drug allergy, and political agenda.

Molecular Approaches for Diagnosis, Therapy and Prevention of Cow´s Milk Allergy

Cow´s milk is one of the most important and basic nutrients introduced early in life in our diet but can induce IgE-associated allergy. IgE-associated allergy to cow´s milk can cause severe allergic manifestations in the gut, skin and even in the respiratory tract and may lead to life-threatening anaphylactic shock due to the stability of certain cow´s milk allergens. Here, we provide an overview about the allergen molecules in cow´s milk and the advantages of the molecular diagnosis of IgE sensitization to cow´s milk by serology. In addition, we review current strategies for prevention and treatment of cow´s milk allergy and discuss how they could be improved in the future by innovative molecular approaches that are based on defined recombinant allergens, recombinant hypoallergenic allergen derivatives and synthetic peptides.

Personalized Nutrition Approach in Food Allergy: Is It Prime Time Yet?

The prevalence of food allergy appears to be steadily increasing in infants and young children. One of the major challenges of modern clinical nutrition is the implementation of individualized nutritional recommendations. The management of food allergy (FA) has seen major changes in recent years. While strict allergen avoidance is still the key treatment principle, it is increasingly clear that the avoidance diet should be tailored according to the patient FA phenotype. Furthermore, new insights into the gut microbiome and immune system explain the rising interest in tolerance induction and immunomodulation by microbiota-targeted dietary intervention. This review article focuses on the nutritional management of IgE mediated food allergy, mainly focusing on different aspects of the avoidance diet. A personalized approach to managing the food allergic individual is becoming more feasible as we are learning more about diagnostic modalities and allergic phenotypes. However, some unmet needs should be addressed to fully attain this goal.

Predicting development of sustained unresponsiveness to milk oral immunotherapy using epitope-specific antibody binding profiles

BACKGROUND

In a recent trial of milk oral immunotherapy (MOIT) with or without omalizumab in 55 patients with milk allergy treated for 28 months, 44 of 55 subjects passed a 10-g desensitization milk protein challenge; 23 of 55 subjects passed the 10-g sustained unresponsiveness (SU) challenge 8 weeks after discontinuing MOIT.

OBJECTIVE

We sought to determine whether IgE and IgG₄ antibody binding to allergenic milk protein epitopes changes with MOIT and whether this could predict the development of SU.

METHODS

By using a novel high-throughput Luminex-based assay to quantitate IgE and IgG₄ antibody binding to 66 sequential epitopes on 5 milk proteins, serum samples from 47 subjects were evaluated before and after MOIT. Machine learning strategies were used to predict whether a subject would have SU after 8 weeks of MOIT discontinuation.

RESULTS

MOIT profoundly altered IgE and IgG₄ binding to epitopes, regardless of treatment outcome. At the initiation of MOIT, subjects achieving SU exhibited significantly less antibody binding to 40 allergenic epitopes than subjects who were desensitized only (false discovery rate ≤ 0.05 and fold change > 1.5). Based on baseline epitope-specific antibody binding, we developed predictive models of SU. Using simulations, we show that, on average, IgE-binding epitopes alone perform significantly better than models using standard serum component proteins (average area under the curve, >97% vs 80%). The optimum model using 6 IgE-binding epitopes achieved a 95% area under the curve and 87% accuracy.

CONCLUSION

Despite the relatively small sample size, we have shown that by measuring the epitope repertoire, we can build reliable models to predict the probability of SU after MOIT. Baseline epitope profiles appear more predictive of MOIT response than those based on serum component proteins.