Rizzi Angela, Li Pomi Federica, Inchingolo Riccardo, Viola Marinella, Borgia Francesco, Gangemi Sebastiano
UOSD Allergologia e Immunologia Clinica, Dipartimento Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, 90127 Palermo, Italy.
Biomedicines. 2024 Dec 4;12(12):2765. doi: 10.3390/biomedicines12122765.
: In the world, approximately 1% of the population suffers from chronic spontaneous urticaria (CSU), burdening patients' quality of life and challenging clinicians in terms of treatment. Recent scientific evidence has unveiled the potential role of a family of molecules known as "alarmins" in the pathogenesis of CSU. : Papers focusing on the potential pathogenetic role of alarmins in CSU with diagnostic (as biomarkers) and therapeutic implications, in English and published in PubMed, Scopus, Web of Science, as well as clinical studies registered in ClinicalTrials.gov and the EudraCT Public website, were reviewed. : The epithelial-derived alarmins thymic stromal lymphopoietin and IL-33 could be suitable diagnostic and prognostic biomarkers and possible therapeutic targets in CSU. The evidence on the role of non-epithelial-derived alarmins (heat shock proteins, S-100 proteins, eosinophil-derived neurotoxin, β-defensins, and acid uric to high-density lipoproteins ratio) is more heterogeneous and complex. : More homogeneous studies on large cohorts, preferably supported by data from international registries, will be able to elucidate the intriguing and complex pathogenetic world of CSU.
在全球范围内,约1%的人口患有慢性自发性荨麻疹(CSU),这给患者的生活质量带来负担,并在治疗方面给临床医生带来挑战。最近的科学证据揭示了一类被称为“警报素”的分子在CSU发病机制中的潜在作用。:对发表于PubMed、Scopus、Web of Science上的英文论文以及在ClinicalTrials.gov和EudraCT公共网站上注册的临床研究进行了综述,这些论文聚焦于警报素在CSU中的潜在致病作用及其诊断(作为生物标志物)和治疗意义。:上皮来源的警报素胸腺基质淋巴细胞生成素和IL-33可能是CSU合适的诊断和预后生物标志物以及潜在的治疗靶点。关于非上皮来源警报素(热休克蛋白、S-100蛋白、嗜酸性粒细胞衍生神经毒素、β-防御素以及尿酸与高密度脂蛋白比值)作用的证据则更为多样和复杂。:对大型队列进行更统一的研究,最好有国际注册机构的数据支持,将能够阐明CSU引人入胜且复杂的发病机制。