Unit for Population-Based Dermatology Research, School of Basic and Medical Biosciences, St John's Institute of Dermatology, King's College London, London, UK.
Department of Dermatology and Allergy, School of Medicine, Technical University of Munich, Munich, Germany.
Allergy. 2023 Jan;78(1):84-120. doi: 10.1111/all.15578. Epub 2022 Dec 8.
Biomarkers associated with the development of comorbidities in atopic dermatitis (AD) patients have been reported, but have not yet been systematically reviewed. Seven electronic databases were searched, from database inception to September 2021. English language randomized controlled trials, prospective and retrospective cohort, and case-control studies that investigated the association between a biomarker and the development of comorbidities in AD patients were included. Two authors independently screened the records for eligibility, one extracted all data, and critically appraised the quality of studies and risk of bias. Fifty six articles met the inclusion criteria, evaluating 146 candidate biomarkers. The most frequently reported biomarkers were filaggrin mutations and allergen specific-IgE. Promising biomarkers include specific-IgE and/or skin prick tests predicting the development of asthma, and genetic polymorphisms predicting the occurrence of eczema herpeticum. The identified studies and biomarkers were highly heterogeneous, and associated with predominately moderate-to-high risk of bias across multiple domains. Overall, findings were inconsistent. High-quality studies assessing biomarkers associated with the development of comorbidities in people with AD are lacking. Harmonized datasets and independent validation studies are urgently needed.
已有研究报道了与特应性皮炎(AD)患者共病发展相关的生物标志物,但尚未进行系统评价。本研究检索了从数据库建立到 2021 年 9 月的 7 个电子数据库。纳入了评估生物标志物与 AD 患者共病发展之间关联的英文随机对照试验、前瞻性和回顾性队列研究以及病例对照研究。两位作者独立筛选合格记录,一位提取所有数据,并对研究质量和偏倚风险进行了批判性评估。56 篇文章符合纳入标准,评估了 146 种候选生物标志物。报道最多的生物标志物是丝聚蛋白突变和过敏原特异性 IgE。有前途的生物标志物包括特异性 IgE 和/或皮肤点刺试验预测哮喘的发展,以及预测疱疹样湿疹发生的遗传多态性。所确定的研究和生物标志物具有高度异质性,并且在多个领域与主要为中高度偏倚风险相关。总的来说,研究结果不一致。缺乏评估 AD 患者共病发展相关生物标志物的高质量研究。迫切需要制定标准化数据集和独立验证研究。