Journal of Allergy and Clinical Immunology最新文献

{"title":"Asthma treatment response modified by fine particulate matter, nitrogen dioxide, and ozone among Black children: A reanalysis of the AsthmaNet Best African American Response to Asthma Drugs trial.","authors":"Fu-Tang Lin, Huai-An Yin, Yan-Ru Xiao, Chin-Yuan Yii, Chia-Jung Li, Su-Boon Yong","doi":"10.1016/j.jaci.2025.08.009","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.009","url":null,"abstract":"","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":" ","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145053628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply.","authors":"Lizbeth F Gómez, Ellen J Kinnee, Fernando Holguin, Jane E Clougherty","doi":"10.1016/j.jaci.2025.08.010","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.010","url":null,"abstract":"","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":" ","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145053618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using real-world peanut-containing foods for oral immunotherapy.","authors":"Ladan Ali,Sharanya Nagendran,Nandinee Patel,Paul J Turner","doi":"10.1016/j.jaci.2025.08.013","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.013","url":null,"abstract":"","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"66 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proteomic Profiling and Machine Learning for Endotype Prediction in Chronic Rhinosinusitis.","authors":"Christina Morgenstern,Tina J Bartosik,Karina N Bayer,Nicholas J Campion,Florian Frommlet,Katharina Gangl,Fana A Kidane,Linda Liu,Klaus Schmetterer,Victoria Stanek,Aldine Tu,Klemens Ungersbäck,Mohammed Zghaebi,Sven Schneider,Julia Eckl-Dorna","doi":"10.1016/j.jaci.2025.08.025","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.025","url":null,"abstract":"BACKGROUNDChronic rhinosinusitis (CRS) is a common, heterogeneous upper airway inflammatory disorder, affecting approximately 12% of the general population. The disease is clinically stratified into CRS without nasal polyps (CRSsNP) and CRS with nasal polyps (CRSwNP), including the most severe subtype of non-steroidal anti-inflammatory drug (NSAID)-exacerbated respiratory disease (N-ERD).OBJECTIVEIn order to identify molecular signatures and biomarkers allowing for the distinction between different disease endotypes and controls, we employed targeted proteomics combined with bioinformatics and Machine Learning analyses.METHODSNasal secretions and serum from 80 patients (20 each of CRSsNP, CRSwNP, N-ERD, and disease controls) were subjected to high-throughput targeted proteomics (Olink®) and the expression patterns of 161 and 2677 proteins, for nasal secretions and serum, respectively, analyzed alongside clinical evaluations of nasal polyp and smell test scores.RESULTSTwo distinct expression patterns were identified in nasal secretions: proteins associated with macrophage recruitment and type 2 inflammation were increased in CRSwNP and N-ERD, whilst proteins associated with innate immunity, particularly Toll-like receptor 4 signaling (TLR4), were gradually downregulated from DC to N-ERD. Furthermore, using Machine Learning, we confirmed two potential biomarkers for nasal polyposis: the glial cell line-derived neurotrophic factor (GDNF) in nasal secretions and Charcot-Leyden crystal protein (CLC) in serum.CONCLUSIONOur findings provide unique insights into CRS pathophysiology and highlight potential biomarkers for precision diagnosis and treatment, particularly in severe cases such as N-ERD.CLINICAL IMPLICATIONSOur findings enhance the understanding of CRS pathophysiology and identify potential biomarkers for precise diagnosis, especially in severe cases like N-ERD, informing the design of targeted therapeutic strategies.","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"36 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of disease-specific regulatory networks in Prurigo Nodularis vs. Atopic Dermatitis through ATAC/RNA single-nuclei profiling.","authors":"Yuntian Wu,Rachael Bogle,Matthew T Patrick,Gharaee-Kermani Mehrnaz,Xianying Xing,Allison C Billi,J Michelle Kahlenberg,Valérie Julia,Johann E Gudjonsson,Lam C Tsoi","doi":"10.1016/j.jaci.2025.08.026","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.026","url":null,"abstract":"BACKGROUNDPrurigo Nodularis (PN) is a chronic neuroimmune skin disorder characterized by chronic itch and multiple pruriginous nodules, and is related to atopic dermatitis (AD). While different transcriptomic studies have been conducted, the regulatory mechanisms and differences between PN and AD remain poorly understood.OBJECTIVEWe aimed to uncover shared and distinct regulatory mechanisms between PN and AD. Specifically, we evaluated how molecular factors driving the distinction between lesional and non-lesional skin differ in these two diseases.METHODWe profiled gene expression and chromatin accessibility at the single-nuclei level from paired lesional and non-lesional skin samples of four PN patients and five AD patients. We utilized joint modeling and pseudobulk techniques to identify disease specific regulatory network.RESULTSOur results illustrate that the epigenomic alterations in PN were more numerous and greater magnitude compared to AD skin. PN-biased cis-regulatory elements (CREs) showed correlation with PN-biased differentially expressed genes (DEGs) in the same cell type, and we revealed 199 regulatory modules specific to PN in contrast to 3 modules specific to AD. We also identified PN-specific AP-1-induced regulatory module that induces RUNX2 in fibroblasts, confirmed by immunohistochemistry and immunofluorescence staining, suggestive of its contribution to fibrosis in PN.CONCLUSIONThis study provides a chromatin-RNA-expression atlas and underscores its efficacy in revealing distinct regulatory mechanisms inherent to PN and AD.CLINICAL IMPLICATIONWe highlight distinct epigenomic and transcriptomic regulatory networks in PN, revealing potential driver of PN-associated fibrosis.","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"77 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum.","authors":"","doi":"10.1016/j.jaci.2025.08.017","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.017","url":null,"abstract":"","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":" ","pages":""},"PeriodicalIF":11.2,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145023412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction and Characterization of Genetically-Regulated Expression of Asthma Tissues from African-Ancestry Populations.","authors":"Sarah D Slack,Erika Esquinca,Christopher H Arehart,Meher Preethi Boorgula,Brooke Szczesny,Alex Romero,Monica Campbell,Sameer Chavan,Nicholas Rafaels,Harold Watson,R Clive Landis,Nadia N Hansel,Charles N Rotimi,Christopher O Olopade,Camila A Figueiredo,Carole Ober,Andrew H Liu,Eimear E Kenny,Kai Kammers,Ingo Ruczinski,Margaret A Taub,Michelle Daya,Christopher R Gignoux,Katerina Kechris,Kathleen C Barnes,Rasika A Mathias,Randi K Johnson","doi":"10.1016/j.jaci.2025.07.035","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.07.035","url":null,"abstract":"BACKGROUNDGenetic control of gene expression in asthma-related tissues is not well-characterized, particularly for African-ancestry populations, limiting advancement in our understanding of the increased prevalence and severity of asthma in those populations.OBJECTIVETo create novel transcriptome prediction models for asthma tissues (nasal epithelium and CD4+ T cells) and apply them in transcriptome-wide association study to discover candidate asthma genes.METHODSWe developed and validated gene expression prediction databases for unstimulated CD4+ T cells and nasal epithelium using an elastic net framework. Combining these with existing prediction databases (N=51), we performed TWAS of 9,284 individuals of African-ancestry to identify tissue-specific and cross-tissue candidate genes for asthma.RESULTSNovel databases for CD4+ T cells and nasal epithelial gene expression prediction contain 8,351 and 10,296 genes, respectively, including four asthma loci (SCGB1A1, MUC5AC, ZNF366, LTC4S) not predictable with existing public databases. Prediction performance was comparable to existing databases and was most accurate for populations sharing ancestry with the training set (e.g. African ancestry). From transcriptome-wide association study, we identified 17 candidate causal asthma genes (adjusted P<0.1), including genes with tissue-specific (IL33 in nasal epithelium) and cross-tissue (CCNC and FBXW7) effects.CONCLUSIONSExpression of IL33, CCNC, and FBXW7 may affect asthma risk in African ancestry populations by mediating inflammatory responses. The addition of CD4+ T cell and nasal epithelium prediction databases to the public sphere will improve ancestry representation and power to detect novel gene-trait associations from transcriptome-wide association study.","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"48 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CB2R-cAMP-Epac1 Pathway Orchestrates Epithelial-Neural-Immune Interactions in Atopic Dermatitis.","authors":"Ximin Hu,Yi Luo,Yiya Zhang,Kun Liu,Liyan Wu,Jinjun Hou,Guodun Zhao,Ting Wang,Yifei Liu,Hongyi Cheng,Xia Li,Lei Zhang,Libei Liu,Wanying Wu,Ronghua Yang,Xinyan Gao,Ji Li,Heng Xu,Jing Feng","doi":"10.1016/j.jaci.2025.08.021","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.021","url":null,"abstract":"BACKGROUNDKeratinocytes form the skin's first line of defense, not only serving as a physical barrier but also actively communicating with immune cells and sensory neurons.OBJECTIVETo elucidate the molecular mechanisms by which keratinocytes contribute to barrier dysfunction and neuroimmune activation in atopic dermatitis (AD).METHODSCB2R expression was assessed by RNA-seq, qRT-PCR, RNAscope fluorescence, and western blot. Pharmacological activation/inhibition or keratinocyte-specific deletion of CB2R was used to determine its role in AD-associated itch and inflammation. Behavioral assays, immunofluorescence, and qRT-PCR were employed to identify downstream signaling components.RESULTSCB2R expression was upregulated in the epidermis of MC903-induced AD. CB2R activation alleviated scratching and skin pathology, whereas keratinocyte-specific CB2R deletion exacerbated both. CB2R suppressed adenylate cyclase 3 (ADCY3) activity, reducing cAMP levels and downstream Epac1 activation, thereby limiting IL-33 production. This CB2R-cAMP-Epac1-IL-33 axis regulated epidermal hyperplasia, dermal neutrophil infiltration, and chronic itch.CONCLUSIONThe keratinocyte CB2R-cAMP-Epac1 axis integrates epithelial, neural, and immune signaling to drive AD pathology, representing a potential therapeutic target for chronic itch and skin inflammation.","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"46 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in allergy and immunology: recent developments, implementation challenges, and the road towards clinical impact.","authors":"Merlijn van Breugel,Matt Greenhawt,Ibon Eguiluz-Gracia,Maria Jose Torres Jaen,Aikaterini Anagnostou,Gerard H Koppelman","doi":"10.1016/j.jaci.2025.08.022","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.022","url":null,"abstract":"Artificial intelligence (AI) is increasingly recognized for its capacity to transform medicine. While publications applying AI in allergy and immunology have increased, clinical implementation substantially lags behind other specialties. By mid-2024, over 1,000 FDA-approved AI-enabled medical devices existed, but none specifically addressed allergy and immunology. This gap partly reflects our field's limited reliance on imaging, which facilitated early AI breakthroughs in radiology and pathology. This narrative review examines recent AI developments, including Large Language Models (LLMs) and AI agents, evaluating their applicability to allergy and immunology practice. We analyze current and potential applications, emphasizing those demonstrating clinical value, while identifying implementation barriers amplified by allergic diseases' unique complexities, including data privacy concerns, bias, reliability constraints, and evolving regulatory frameworks. To bridge the persistent research-to-implementation gap, we propose a 6-point roadmap: (1) prioritize impactful applications, (2) define clinically relevant benchmarks, (3) enforce rigorous governance, (4) transition to operationalization, (5) promote clinical adoption through trustworthy AI, and (6) establish lifecycle management. This roadmap builds upon established implementation frameworks while incorporating critical field-specific considerations unique to allergy and immunology. Through this approach, we aim to provide a perspective for advancing AI in allergy and immunology from academic promise to tangible clinical benefit.","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"11 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145025511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anifrolumab treatment of Singleton-Merten syndrome 2 due to a novel RIGI variant.","authors":"Evan E Hsu,Courtney E LeSon,Michael T Lam,Seigo Okada,Jian Yue,Casey A Rimland,Rachel Weng,Qing Zhou,Tal Geva,Amy E Roberts,Charmaine Ilagan,Chrystalle Katte Carreon,Mary Beth F Son,Pui Y Lee","doi":"10.1016/j.jaci.2025.08.001","DOIUrl":"https://doi.org/10.1016/j.jaci.2025.08.001","url":null,"abstract":"","PeriodicalId":14936,"journal":{"name":"Journal of Allergy and Clinical Immunology","volume":"25 1","pages":""},"PeriodicalIF":14.2,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}