Asia Pacific Allergy最新文献

The advent of immune checkpoint inhibitors (ICIs) has revolutionized the treatment landscape for various malignancies by harnessing the body's immune system to target cancer cells. However, their widespread use has unveiled a spectrum of immune-related adverse events, highlighting a critical balance between antitumor immunity and autoimmunity. This review article delves into the molecular immunology of ICIs, mapping the journey from their therapeutic action to the unintended induction of immune-related adverse events. We provide a comprehensive overview of all available ICIs, including cytotoxic T-lymphocyte-associated protein 4, programmed cell death protein 1, programmed death-ligand 1 inhibitors, and emerging targets, discussing their mechanisms of action, clinical applications, and the molecular underpinnings of associated immune-related adverse events. Special attention is given to the activation of autoreactive T cells, B cells, cytokine release, and the inflammatory cascade, which together contribute to the development of immune-related adverse events. Through a molecular lens, we explore the clinical manifestations of immune-related adverse events across organ systems, offering insights into diagnosis, management, and strategies to mitigate these adverse effects. The review underscores the importance of understanding the delicate interplay between enhancing antitumor responses and minimizing immune-related adverse events, aiming to guide future research and the development of next-generation ICIs with improved drug safety profiles.

Background: Respiratory allergies are one of the most common allergic diseases that affect Filipinos. Grass pollen accounts for the majority of the outdoor allergens triggering these respiratory allergies. Cross-reactivity among the Philippine grass pollen grains has not been extensively studied.

Objective: This study aims to investigate the cross-reactivity of our local grasses and identify the cross-reactive allergens.

Methods: Grass pollen grains were collected and processed into crude allergenic extracts. The IgE-reactivity of these crude allergenic pollen extracts was studied using sera from patients who tested positive for the mentioned extracts. The proteins from the immunoblots of cross-reactive pollen allergen extracts were sequenced and identified.

Results: Allergenic pollen proteins were identified as cross-reactive among the grass pollen extracts. Four of these have not been listed yet as grass allergens in the World Health Organization/International Union of Immunological Societies allergen nomenclature database.

Conclusion: Local grass pollen allergens are cross-reactive with probable new allergens identified.

Toxic epidermal necrolysis (TEN) and Stevens-Johnson syndrome belong to a family of severe cutaneous adverse reactions that can be life-threatening and carry a risk of significant morbidity and potential mortality in the event of re-exposure. Lifelong avoidance of the culprit agent is mandated, which can lead to the exclusion of multiple medications if the trigger is unclear. This can result in adverse health outcomes analogous to that of a penicillin allergy label. We present a case in which the patient would progress to fatal myeloma in the absence of treatment, however, multiple medications were administered prior to the occurrence of TEN following previous chemotherapy. Available risk stratification tools including human leucocyte antigen assessment and the algorithm of drug causality for epidermal necrolysis scoring system were utilized followed by patch testing which identified a lesser-suspected agent as possibly causative. Further evidence-based in vivo testing and subsequent challenges allowed for the reintroduction of life-saving chemotherapy.

Background: The diagnosis of allergic rhinitis (AR) primarily relies on symptoms and laboratory examinations. Due to limitations in outpatient settings, certain tests such as nasal provocation tests and nasal secretion smear examinations are not routinely conducted. Although there are clear diagnostic criteria, an accurate diagnosis still requires the expertise of an experienced doctor, considering the patient's medical history and conducting examinations. However, differences in physician knowledge and limitations of examination methods can result in variations in diagnosis.

Objective: Artificial intelligence is a significant outcome of the rapid advancement in computer technology today. This study aims to present an intelligent diagnosis and detection method based on ensemble learning for AR.

Method: We conducted a study on AR cases and 7 other diseases exhibiting similar symptoms, including rhinosinusitis, chronic rhinitis, upper respiratory tract infection, etc. Clinical data, encompassing medical history, clinical symptoms, allergen detection, and imaging, was collected. To develop an effective classifier, multiple models were employed to train on the same batch of data. By utilizing ensemble learning algorithms, we obtained the final ensemble classifier known as adaptive random forest-out of bag-easy ensemble (ARF-OOBEE). In order to perform comparative experiments, we selected 5 commonly used machine learning classification algorithms: Naive Bayes, support vector machine, logistic regression, multilayer perceptron, deep forest (GC Forest), and extreme gradient boosting (XGBoost).To evaluate the prediction performance of AR samples, various parameters such as precision, sensitivity, specificity, G-mean, F1-score, and area under the curve (AUC) of the receiver operating characteristic curve were jointly employed as evaluation indicators.

Results: We compared 7 classification models, including probability models, tree models, linear models, ensemble models, and neural network models. The ensemble classification algorithms, namely ARF-OOBEE and GC Forest, outperformed the other algorithms in terms of the comprehensive classification evaluation index. The accuracy of G-mean and AUC parameters improved by nearly 2% when compared to the other algorithms. Moreover, these ensemble classifiers exhibited excellent performance in handling large-scale data and unbalanced samples.

Conclusion: The ARF-OOBEE ensemble learning model demonstrates strong generalization performance and comprehensive classification abilities, making it suitable for effective application in auxiliary AR diagnosis.

Chemoimmunotherapy is an effective therapy for an individual with nonsmall-cell lung cancer (NSCLC) without anaplastic lymphoma kinase or epidermal growth factor receptor mutations. However, it can also be related to adverse cutaneous reactions such as Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) with high morbidities and mortality rates. We present a case of a 65-year-old male with NSCLC who underwent first-line chemotherapy with paclitaxel, carboplatin, and pembrolizumab, which was later followed by a second cycle of the same therapies. The patient developed a fever and rash 12 days after the second cycle. Pembrolizumab was strongly suspected as the culprit medication because cutaneous reactions to this drug have been frequently reported and threw other medications used as less likely candidates. This is the first case reported in Vietnam of SJS/TEN related to pembrolizumab and contributes to our knowledge of severe skin reactions associated with immune checkpoint inhibitors.

Hyper-immunoglobulin E syndrome (HIES) is a primary immunodeficiency disease characterized by atopic dermatitis, recurrent skin and lung infections, and significantly elevated serum immunoglobulin E levels. Autosomal dominant and loss-of-function pathogenic variants in the STAT3 gene are the most common causes of the disease and studies have shown that the presence of IL-4 receptor (IL-4R) is upregulated in patients with dominant-negative mutations in the STAT3 gene expression. Dupilumab is a monoclonal antibody that targets the IL-4α receptor and improves the symptoms of atopic dermatitis by inhibiting IL-4 and IL-13. We used dupilumab to treat severe dermatitis in a patient with STAT3-HIES and achieved satisfactory results.

Background: Role of complement fraction 5a (C5a), interleukin (IL)-9, and apolipoprotein (apo) A-IV as biomarkers of disease severity and antihistamine response in chronic spontaneous urticaria (CSU) remains elusive.

Objective: To identify the role of C5a, IL-9, and apo A-IV as potential biomarkers in predicting disease severity and antihistamine response in CSU patients.

Methods: This was a prospective observational study of 95 patients and 42 controls. Serum analysis of C5a, IL-9, and apo A-IV was done using enyzme linked immunosorbent assay kits. Also, serum IgE and anti-thyroid peroxidase (TPO) levels were assessed in all patients. All patients were started on oral levocetirizine 5 mg at baseline and dose was titrated upwards to maximum of 20 mg based on response. Patients were categorized into antihistamine responders or nonresponders as per their disease response. Serological markers, serum IgE, and anti-TPO were correlated with baseline disease severity and antihistamine response.

Results: C5a levels were significantly higher in cases as compared to controls (P = 0.004). Significantly higher IL-9 levels were observed in antihistamine responders than nonresponders (P = 0.008). Baseline urticaria severity demonstrated a statistically significant positive and negative correlations with IL-9 (ρ = 0.277, P = 0.007) and apo A-IV (ρ = -0.271, P = 0.008) levels, respectively. Levels of serum IgE (P = 0.031) and anti-TPO (P = 0.039) were significantly higher in antihistamine nonresponders compared to responders.

Conclusions: IL-9 and apo A-IV might be potential novel biomarkers to predict urticaria severity. Higher IL-9 might be a predictor of antihistamine response. Elevated anti-TPO and serum IgE might predict poor antihistamine response.

Background: House dust mites are the major source of indoor allergens in the tropical and subtropical regions with Blomia tropicalis (Bt) allergens as one of the leading causative agents of sensitization among patients from the tropics. Despite the clinical importance of Bt in various populations, its allergenicity remains unclear among Filipino allergic patients.

Objective: This study determined the sensitization profiles of allergic Filipinos against Bt allergens and its correlation with atopy.

Methods: Total immunoglobulin epsilon (IgE) (n = 960), Bt-specific IgE (n = 247), and Blomia tropicalis 5 (Blo t 5)-specific IgE (n = 87) profiles of allergic and nonallergic subjects were measured through enzyme-linked immunosorbent assay (ELISA). Point-biserial correlation coefficient was used to determine the association between Bt-specific IgE levels and selected demographics. Inhibition ELISA was performed to measure the inhibition capacity of recombinant Blo t 5 (rBlo t 5) against Bt allergen extracts.

Results: Mean total IgE levels of allergic cases (n = 171) were significantly higher (P < 0.001) compared to the mean IgE levels of nonallergic controls (n = 76). Among allergic subjects, 58% were sensitized to Blo t extract and 80% of which were sensitized to rBlo t 5 allergen. A positive correlation was observed between Bt-specific IgE and family history of atopic disease (P = 0.031). Inhibition assay revealed that 54% mean reactivity of 7 plasma samples was caused by rBlo t 5, validating that rBlo t 5 is a major allergen in Bt.

Conclusions: This study has shown the importance of Bt as an allergen source that sensitizes atopic Filipino subjects. Hence, inclusion of Bt allergen extract and rBlo t 5 in the panel for allergy diagnosis and immunotherapy in Filipino populations is strongly recommended.