Antibiotics are one of the most frequently prescribed drugs. Unfortunately, they also are the most common cause for self-reported drug allergy, limiting the use of effective therapies. However, evidence shows that more than 90% of patients labeled as allergic to antibiotics are not allergic. Importantly, the label of antibiotic allergy, whether real or not, constitutes a major public health problem as it directly impacts antimicrobial stewardship: it has been associated with broad-spectrum antibiotic use, often resulting in the emergence of bacterial resistance. Therefore, an accurate diagnosis is crucial for de-labeling patients who claim to be allergic but are not really allergic. This review presents allergy methods for achieving successful antibiotic allergy de-labeling. Patient clinical history is often inaccurately reported, thus not being able to de-label most patients. In vitro testing offers a complementary approach but it shows limitations. Immunoassay for quantifying specific IgE is the most used one, although it gives low sensitivity and is limited to few betalactams. Basophil activation test is not validated and not available in all centers. Therefore, true de-labeling still relies on in vivo tests including drug provocation and/or skin tests, which are not risk-exempt and require specialized healthcare professionals for results interpretation and patient management. Moreover, differences on the pattern of antibiotic consumption cause differences in the diagnostic approach among different countries. A multidisciplinary approach is recommended to reduce the risks associated with the reported penicillin allergy label.

Respiratory diseases are pathological conditions that affect airways, hampering breathing and causing high mortality. In particular, asthma and allergic rhinitis (AR) are two of the most common airway diseases that affect millions of people and have a high prevalence in childhood and adulthood. Asthma is a heterogeneous chronic inflammatory disease characterized by wheezing, chest tightness, shortness of breath, and cough. AR occurs with rhinorrhea, nasal congestion, and sneezing. Indeed, these pathologies share common physiopathological mechanisms such as airway hyperresponsiveness and similar immunopathology such as tissue eosinophilia and T-helper type 2 inflammation. Moreover, AR can be an important risk factor for suffering asthma. Thus, early diagnosis and effective treatment are crucial to improving the health and quality of life of these patients. Classical drugs such as corticosteroids have been used; however, in the last decades, efforts to improve treatments have increased, focusing on biological agents and specific allergen immunotherapy development. Moreover, more precise diagnostic tools have been elaborated, besides classical methods (medical history, physical examination, and pulmonary function tests), such as basophil activation test, and specific cellular and molecular biomarkers (microRNAs, sputum/blood eosinophils, IgE serum, and periostin levels). Therefore, in this review, we compile all these important issues for managing asthma and AR.

Asthma is a heterogeneous disease in terms of both phenotype and response to therapy. Therefore, there is a great need for clinically applicable tools allowing for improved patient classification, and selection for specific management approaches. Some interventions are highly helpful in selected patients (e.g., allergen immunotherapy or aspirin desensitization), but they are costly and/or difficult to implement. Currently available biomarkers measurable in peripheral blood or exhaled air display many limitations for asthma phenotyping and cannot identify properly the specific triggers of the disease (e.g., aeroallergens or NSAID). The united airway concept illustrates the relevant epidemiological and pathophysiological links between the upper and lower airways. This concept has been largely applied to patient management and treatment, but its diagnostic implications have been less often explored. Of note, a recent document by the European Academy of Allergy and Clinical Immunology proposes the use of nasal allergen challenge to confirm the diagnosis of allergic asthma. Similarly, the nasal challenge with lysine acetylsalicylate (L-ASA) can be used to identify aspirin-sensitive asthma patients. In this review, we will summarize the main features of allergic asthma and aspirin-exacerbated respiratory disease and will discuss the methodology of nasal allergen and L-ASA challenges with a focus on their capacity to phenotype the inflammatory disease affecting both the upper and lower airways.

Background/Objectives: Nonsteroidal anti-inflammatory drugs (NSAIDs) are among the most consumed drugs worldwide and the main cause of drug hypersensitivity reactions (HSRs). The most common NSAID-HSR class is cross-hypersensitivity (CR), with patients reacting to NSAIDs from different chemical groups without specific immunological recognition, with NSAID-induced acute urticaria/angioedema (NIUA) being the most frequent clinical phenotype. Although CR-HSRs are triggered by arachidonic acid (AA) alterations following cyclooxygenase (COX)-1 inhibition and cysteinyl-leukotrienes synthesis by 5-lypoxygenase (5-LO), current evidence supports the participation of additional mechanisms. As COX-1 and 5-LO head oxidative pathways, it is conceivable that enzymes participating in antioxidant control are involved in these mechanisms. In addition, as the CR-HSR susceptibility seems to be influenced by genetic factors, the possibility of genetic variants playing a role in such enzymes should not be excluded. Methods: In this observational case–control study, we analysed for the first time in NIUA the overall genetic variability in key antioxidant defence enzymes genes, including catalase (CAT), glutathione peroxidase (GPX)-1 and 3, and superoxide dismutase (SOD)-1. We selected a set of tagging single nucleotide polymorphisms (tSNPs) in these genes using data from Europeans in the 1000 Genomes Project. Two independent Spanish populations (discovery and replication) of NIUA patients and NSAID-tolerant individuals were included. Results: Twenty-six tSNPs were genotyped in the discovery population, with three that were significantly associated with NIUA: rs3448 (GPX-1), rs3792798 (GPX-3), and rs10432782 (SOD-1). They were then genotyped in the replication group, with rs3792798 being protective and rs10432782 being associated with an increased NIUA risk. Conclusions: Our results suggest that a role for antioxidant enzyme polymorphisms in NIUA is required. Nevertheless, further research is needed to replicate our findings in other populations and their meaning at the molecular level and to investigate the role of such variants in other CR-HSR-induced phenotypes.