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Accurate diagnostic tools for allergic conditions are essential for effective treatment. Traditional methods, such as skin prick tests (SPT) and specific IgE measurements are widely used, but they have limitations in sensitivity and specificity for certain allergens. While the Basophil Activation Test (BAT) offers improved specificity, particularly for allergens such as peanuts and sesame, its practicality and accessibility remain challenges. Mass spectrometry (MS) has recently gained recognition as a promising complementary tool in allergy diagnostics, offering high analytical precision and the capability to detect a wide range of allergen-specific biomarkers. This review explores the integration of MS into allergy diagnostics, emphasizing its potential to enhance BAT applications, particularly for non-responders. We discuss the underlying mechanisms, recent research highlighting its efficacy, and the technical challenges that must be addressed for clinical adoption. Additionally, we examine the standardization requirements and ethical considerations necessary for MS to become a routine diagnostic tool. Finally, we consider the future of allergy diagnostics, highlighting how MS technology could contribute to more precise, personalized, and patient-centered care in allergy management.
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http://dx.doi.org/10.3389/falgy.2025.1568670 | DOI Listing |
Immunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
Pharmacoepidemiol Drug Saf
September 2025
Sanofi, Cambridge, Massachusetts, USA.
Purpose: Given the increased likelihood for individuals with severe asthma to experience comorbidities, disease complications, emergency room visits, and hospitalizations, the ability to stratify asthma populations on severity is often important. Although pharmacoepidemiologic studies using administrative healthcare databases sometimes categorize asthma severity, there is no consensus on an approach.
Methods: Individuals with asthma (≥ 2 ICD-10-CM diagnosis codes J45) aged ≥ 6 years were identified in Optum's de-identified Clinformatics Data Mart Database between January 2017 and November 2023.
Br J Haematol
September 2025
Platform of Molecular Analysis for Mastocytosis and MCAD (CEREMAST), Department of Biological Hematology, Pitié-Salpêtrière Hospital, AP-HP, Paris Sorbonne University, Paris, France.
Mastocytosis is categorized into cutaneous mastocytosis (CM), mast cell sarcoma and systemic mastocytosis (SM). Within SM, indolent SM (ISM) is the more frequent subtype. Adult patients with CM but without an extracutaneous biopsy are classified as having mastocytosis in the skin (MIS), a provisional diagnosis.
View Article and Find Full Text PDFJ Thorac Oncol
September 2025
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Emeritus Professor, Seoul National University College of Medicine, Seoul, Republic of Korea.
Introduction: Multifocal subsolid nodules (SSNs) are increasingly detected with widespread lung cancer screening and advanced thoracic imaging, representing a spectrum of multifocal lung adenocarcinomas (LUADs). When synchronous SSNs coexist with a surgically confirmed subsolid LUAD, their trajectories remain poorly understood, contributing to uncertainty regarding optimal management strategies. This study aimed to evaluate the clinical course and impact of synchronous SSNs in such patients and to identify features associated with their progression.
View Article and Find Full Text PDFImmunol Lett
September 2025
National Heart and Lung Institute, Imperial College London, UK; School of Public Health, Faculty of Medicine, Imperial College London, UK.
The emergence of big data and analytic approaches initiated research efforts to characterise different subtypes of allergic diseases, including tracking disease progression and identifying patterns that may offer insight into their development and progression. Triangulation from different data sources and study types may help to elucidate the directionality of relationships between variables at a very individual level by modelling the complex interdependencies between multiple dimensions (e.g.
View Article and Find Full Text PDF