HAL Allergy Group · therapeutic agent
alternaria allergen SLIT is a therapeutic agent developed by HAL Allergy Group. It is approved for therapeutic indications via oral (po) or sublingual (sl)/oral transmucosal.
| Company | HAL Allergy Group |
| Route | Oral (PO), Sublingual (SL)/Oral Transmucosal |
| Status | Approved |
alternaria allergen SLIT is developed for 1 unique indication across 1 therapeutic area.
| Therapeutic Area | Condition | Phase |
|---|---|---|
| Immune system disorders | Hypersensitivity | ✓ Approved |
Huang Kai-Chu KC, Lu Hsin-Yu HY, Choo Celine Yen Ling CYL, Wu Pei-Ching PC et al.
[This corrects the article DOI: 10.3389/ffunb.2026.1766476.].
Tapia-Villacis Steven S, Prieto Jimena J, López Martín M, Medina Julio J
Phaeohyphomycoses are a heterogeneous group of diseases caused by several genera of pigmented fungi, also called dematiaceous fungi. These organisms are increasingly recognized as emerging opportunistic pathogens in immunocompromised patients, particularly solid organ transplant recipients. Among them, Alternaria is the most frequently associated genus, with clinical manifestations ranging from superficial to disseminated infections. Treatment options are limited and often complicated by toxicity and drug interactions, particularly in the posttransplant setting. We report what is, to our knowledge, the first case of disseminated alternariosis in a liver transplant recipient in Uruguay, successfully treated with isavuconazole. This case highlights the importance of early recognition and tailored antifungal therapy in transplant patients presenting with unusual cutaneous and pulmonary manifestations.
Wang Yiqing Y, Woodward Maria A MA, Yang Ziyun Z, Prajna N Venkatesh NV et al.
Microbial keratitis requires rapid pathogen identification to guide treatment, but culture- and PCR-based diagnostics are slow and resource-intensive. We developed a triple-phase multimodal framework for bacterial-versus-fungal keratitis classification using slit-lamp photographs acquired under blue-light, sclerotic-scatter, and white-light illumination, together with clinical metadata. The model combines cross-modality contrastive learning, modality-specific fine-tuning, and feature-level multimodal ensemble learning for patient-level prediction. We evaluated the framework on a multicenter dataset of 1,645 patients and 17,158 images from India and the United States. The model achieved 85.84% accuracy, 84.46% average F1-score, and 0.885 AUC. Site-specific evaluation showed that pooled results were overly optimistic, whereas resampling- and balance-based re-evaluation provided a more realistic assessment of cross-site generalization. Under all settings, our framework remained the top-performing approach. The code is available at https://github.com/yqwang01/TPMKA and dataset access will be provided subject to University of Michigan data-sharing clearance.
Maehara Hiroki H, Ueno Yuta Y, Oda Masahiro M, Ito Yoshikazu Y et al.
The automated classification artificial intelligence (AI) for anterior segment corneal diseases that we developed is capable of classifying images into nine categories, including vision-threatening corneal diseases, such as infectious keratitis; however, it has been trained exclusively on slit-lamp images. We aimed to develop an AI model adaptable to smartphone images by applying transfer learning using smartphone images to the existing AI model. AI trained with transfer learning on smartphone images will be referred to as "Phone-tuned AI." This study included 2530 images captured using smartphones, collected from multiple collaborating facilities between October 2021 and March 2024. Transfer learning was applied to two existing AI models (You Only Look Once version 5 [YOLOv5] and YOLOX) using these smartphone images, and the accuracy of the Phone-tuned AI was evaluated. The average accuracy for each classification using smartphone images was 93.5% for Phone-tuned AI (YOLOv5) and 67.0% for Original AI (YOLOv5), showing a statistically significant improvement (P = 0.0033). Similarly, the accuracy was 84.2% for Phone-tuned AI (YOLOX) and 78.4% for Original AI (YOLOX), with no significant difference (P = 0.36). When diseases were categorized by urgency, the Phone-tuned AI (YOLOv5) achieved 94.8% for urgent, 89.7% for semi-urgent, 89.4% for routine, and 98.7% for observation-level cases. Phone-tuned AI has the potential to assist in diagnosis and triage in regions with a shortage of ophthalmologists, such as rural areas. Transfer learning using smartphone images showed a particularly good fit with YOLOv5, resulting in high diagnostic accuracy and demonstrating strong potential for clinical application.
Angoran Regnier I I, N'Cho-Mottoh M P MP, Ekou A A, Garba I I et al.
Anomalous origins of coronary arteries (AOCA) represent the second leading cause of sudden cardiac death in young individuals. Diagnosis is challenging because symptoms often mimic classic ischemia or present as MINOCA (Myocardial Infarction with Non-Obstructive Coronary Arteries). This study aimed to evaluate the prevalence and malignancy criteria of AOCA in patients undergoing coronary angiography in Abidjan. A retrospective study was conducted in Abidjan, Côte d'Ivoire, analyzing 422 coronary CT angiograms performed between May 2023 and December 2025. The protocol included calcium scoring and angiographic acquisition to analyze the arterial course and wall. Post-processing was performed on a dedicated workstation. Investigated malignancy criteria included ectopic origin, inter-arterial course, acute ostial angulation, intramural course, and the presence of a slit-like ostium. The prevalence of AOCA was 1.65% (7 cases). The mean age was 51.4±12 years. Chest pain was the primary reason for consultation (85.71% of cases). Calcium scores were zero in 85.71% of patients. The most frequent anomaly was the right coronary artery arising from the left sinus (n=3; 42.85%). There were also two (2) cases (28.57%) of ectopic right coronary origin from the aorta and two (2) cases of ectopic origin of the left anterior descending artery. A high-risk inter-arterial course was identified in 85.71% of patients. Coronary CT angiography is essential for the anatomical characterization and risk stratification of AOCA. In the African context, the increasing accessibility of coronary CT scanning provides a major opportunity for early detection and primary prevention of sudden cardiac death.
Asai Nobuhiro N, Lombardo Grace K GK, Ocadiz-Ruiz Ramon R, Gu Yao Y et al.
Stem cell factor (SCF), also known as Kit ligand, is a pleiotropic cytokine that signals through the c-Kit receptor to regulate cellular development, survival, and proliferation. Although SCF is classically recognized for its essential role in hematopoiesis and mast cell biology, c-Kit is also expressed by innate lymphoid cell progenitors (ILCp) and subsets of mature innate lymphoid cells (ILCs), suggesting broader immunoregulatory functions. Group 2 innate lymphoid cells (ILC2s) are critical mediators of type 2 airway inflammation and serve as an important source of type 2 cytokines during allergic responses. We previously demonstrated increased expression of the pro-inflammatory SCF248 isoform in the lungs of mice with chronic allergic inflammation, while elevated soluble SCF levels have also been reported in patients with asthma. In the present study, we further observed that SCF248 is upregulated in the bone marrow during allergic inflammation, suggesting that SCF248 may contribute to both local and systemic regulation of allergic immune responses. To define the role of SCF/c-Kit signaling in ILC2 biology, we first performed transcriptional profiling of SCF-deficient ILC2s, which revealed reduced expression of genes associated with cytokine signaling, activation, and effector function, including Il4, Stat5b, and PI3K-AKT pathway components, consistent with impaired inflammatory responsiveness. Mechanistically, pro-inflammatory and type 2 cytokines induced SCF248 expression in mesenchymal cells in vitro. To define its functional impact, ILC progenitors were cultured on OP9-DL1 stromal cells with upregulated SCF248 expression, which increased expression of ILC2-associated markers and the maturation program, supporting a role for SCF248 in enhancing ILC2 maturation and activation. In vivo validation using tamoxifen-inducible whole-body SCF-deficient mice (SCFfl/fl ; UBC-CreERT2) in an Alternaria alternata model of allergic airway inflammation demonstrated that SCF deficiency reduced SCF248 expression, attenuated type 2 cytokine production, diminished lung inflammation, and decreased circulating and pulmonary ILC2 populations. Similarly, SCF248 blockade reduced allergic inflammation and altered bone marrow ILC compartments. Together, these findings identify SCF248 as a regulator of ILC2 maturation and activation, amplifying mucosal type 2 inflammation during allergic airway disease.
+9996 more articles available with a free account
Sign up free to view all articles →