Different monoclonal antibodies have been used for the treatment of Netherton’s syndrome (NS); secukinumab (anti-IL17A), infliximab (anti-TNF-α), ustekinumab (anti p40 subunit of IL-12 and IL-23), omalizumab (anti-IgE), and dupilumab (anti-IL4 and IL13). We report two sisters with severe NS who were treated with omalizumab in one and with secukinumab in the other. In view of the therapeutic failure, treatment with dupilumab was started in both sisters. The data were analyzed 16 weeks after starting treatment with dupilumab. Treatment response was assessed using the Severity Scoring Atopic Dermatitis (SCORAD); Eczema Area and Severity Index (EASI); Pruritus Numeric Rating Scale (NSR); Netherton Area Severity Assessment (NASA) and Dermatology Life Quality Index Ichthyosis. All scores were reduced after 16 weeks of treatment with dupilumab in both patients. She maintains improvement after 18 months and 12 months of treatment, respectively. No severe adverse events were reported. Treatment with dupilumab in two sisters with NS and atopic diseases produced a marked cutaneous improvement after a failed attempt with omalizumab and secukinumab. Further studies are needed to determine which biologic therapy is the most effective in NS.

Background: Precision medicine is a promising strategy to identify biomarkers, stratify asthmatic patients according to different endotypes, and match them with the appropriate therapy. This proof-of-concept study aimed to investigate whether gene expression in peripheral blood could provide a valuable noninvasive approach for the molecular phenotyping of asthma. Methods: We performed whole-transcriptome RNA sequencing on peripheral blood of 30 non-atopic non-asthmatic controls and 30 asthmatic patients. A quantitative PCR (qPCR) validation study of PTGDR2 that encodes for CRTH2 receptor, expressed in cells involved in T2 inflammation, was developed in a cohort of 361 independent subjects: 94 non-asthmatic non-atopic controls, 187 asthmatic patients [including 82 with chronic rhinosinusitis with nasal polyposis (CRSwNP) and 24 with aspirin-exacerbated respiratory disease (AERD)], 52 with allergic rhinitis, and 28 with CRSwNP without asthma. Results: PTGDR2 was one of the most differentially overexpressed genes in asthmatic patients’ peripheral blood (p-value 2.64 × 10⁶). These results were confirmed by qPCR in the validation study, where PTGDR2 transcripts were significantly upregulated in asthmatic patients (p < 0.001). This upregulation was mainly detected in some subgroups such as allergic asthma, asthma with CRSwNP, AERD, eosinophilic asthma, and severe persistent asthma. PTGDR2 expression was detected in different blood cell types, and its correlation with eosinophil counts showed differences in some groups of asthmatic patients. Conclusions: We found that PTGDR2 expression levels could identify asthma patients, introduce a minimally invasive biomarker for adult asthma molecular phenotyping, and add additional information to blood eosinophils. Although further studies are required, analyzing PTGDR2 expression levels in peripheral blood of asthmatics might assist in selecting patients for treatment with specific antagonists.

Beta-lactam (BL) drugs are the antibiotics most prescribed worldwide due to their broad spectrum of action. They are also the most frequently implied in hypersensitivity reactions with a known specific immunological mechanism. Since the commercialization of benzylpenicillin, allergic reactions have been described; over the years, other new BL drugs provided alternative treatments to penicillin, and amoxicillin is now the most prescribed BL in Europe. Diagnosis of BL allergy is mainly based on skin tests and drug provocation tests, defining different sensitization patterns or phenotypes. In this study, we evaluated 619 patients with a confirmed diagnosis of BL-immediate allergy during the last 25 years, using the same diagnostic procedures with minor adaptations to the successive guidelines. The initial eliciting drug was benzylpenicillin, which changed to amoxicillin with or without clavulanic acid and cephalosporins in recent years. In skin tests, we found a decrease in sensitivity to major and minor penicillin determinants and an increase in sensitivity to amoxicillin and others; this might reflect that the changes in prescription could have influenced the sensitization patterns, thus increasing the incidence of specific reactions to side-chain selective reactions.

Introduction: Type 2 (T2) asthma is often associated with chronic rhinosinusitis with nasal polyposis (CRSwNP). Additionally, nonsteroidal anti-inflammatory drug (NSAID) intolerance leads to NSAID-exacerbated respiratory disease (N-ERD). Previous transcriptomic data in non-CRSwNP T2 asthma patients showed differentially expressed genes. We focused onALOX15,CLC,CYSLTR2,HRH4andSMPD3to investigate their role in T2 asthma.Methods: The study included 100 healthy controls and 103 T2 asthma patients, divided into patients with asthma (n=54), patients with asthma and CRSwNP (n=29) and patients with N-ERD (n=20). Quantitative PCR analysis was performed on blood-derived RNA samples first to validate the five differentially expressed genes. The data were further analysed to find potential associations and biomarkers.Results: Patients, regardless of stratification, exhibited significantly higher gene expression than healthy controls. The patterns of association revealed thatALOX15was exclusively present in the non-comorbidity group,SMPD3andCLCin the comorbidity groups, andHRH4in all patient groups.ALOX15,CYSLTR2andSMPD3expression showed potential as biomarkers to confirm the diagnosis of T2 asthma using peripheral blood eosinophils as the initial criterion. Peripheral blood eosinophils combined with gene expression, especiallySMPD3, may improve the diagnosis.CLCandCYSLTR2expression play a specific role in discriminating N-ERD.Discussion: We validated the transcriptomic data of five differentially expressed genes in T2 asthma. Different patterns of association were identified in patient stratification, suggesting that different molecular mechanisms underlie the spectrum of T2 asthma. Potential biomarkers were also found and used to design an algorithm with practical diagnostic utility for T2 asthma, including risk stratification for N-ERD.