Suppr超能文献

原发性免疫缺陷病的免疫缺陷和失调活动 (IDDA2.1“万花筒”) 评分及其他临床指标。

The Immune Deficiency and Dysregulation Activity (IDDA2.1 'Kaleidoscope') Score and Other Clinical Measures in Inborn Errors of Immunity.

机构信息

Division of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 38, A-8036, Graz, Austria.

Research Unit for Pediatric Hematology and Immunology, Medical University of Graz, Graz, Austria.

出版信息

J Clin Immunol. 2022 Apr;42(3):484-498. doi: 10.1007/s10875-021-01177-2. Epub 2021 Nov 19.

Abstract

Quantifying the phenotypic features of rare diseases such as inborn errors of immunity (IEI) helps clinicians make diagnoses, classify disorders, and objectify the disease severity at its first presentation as well as during therapy and follow-up. Furthermore, it may allow cross-sectional and cohort comparisons and support treatment decisions such as an evaluation for transplantation. On the basis of a literature review, we provide a descriptive comparison of ten selected scores and measures frequently used in IEI and divide these into three categories: (1) diagnostic tools (for Hyper-IgE syndrome, hemophagocytic lymphohistiocytosis, and Wiskott-Aldrich syndrome), (2) morbidity and disease activity measures (for common variable immune deficiency [CVID], profound combined immune deficiency, CTLA-4 haploinsufficiency, immune deficiency and dysregulation activity [IDDA], IPEX organ impairment, and the autoinflammatory disease activity index), and (3) treatment stratification scores (shown for hypogammaglobulinemia). The depth of preclinical and statistical validations varies among the presented tools, and disease-inherent and user-dependent factors complicate their broader application. To support a comparable, standardized evaluation for prospective monitoring of diseases with immune dysregulation, we propose the IDDA2.1 score (comprising 22 parameters on a 2-5-step scale) as a simple yet comprehensive and powerful tool. Originally developed for use in a retrospective study in LRBA deficiency, this new version may be applied to all IEI with immune dysregulation. Reviewing published aggregate cohort data from hundreds of patients, the IDDA kaleidoscope function is presented for 18 exemplary IEI as an instructive phenotype-pattern visualization tool, and an unsupervised, hierarchically clustered heatmap mathematically confirms similarities and differences in their phenotype expression profiles.

摘要

量化罕见疾病(如先天性免疫缺陷)的表型特征有助于临床医生做出诊断、分类疾病,并在初次就诊、治疗和随访期间客观评估疾病严重程度。此外,它还可以进行横断面和队列比较,并支持治疗决策,例如评估是否需要移植。基于文献回顾,我们对 10 种常用于先天性免疫缺陷的评分和测量方法进行了描述性比较,并将其分为三类:(1)诊断工具(用于高 IgE 综合征、噬血细胞性淋巴组织细胞增生症和 Wiskott-Aldrich 综合征),(2)发病率和疾病活动度测量(用于常见可变免疫缺陷、严重联合免疫缺陷、CTLA-4 半不足、免疫缺陷和失调活性、IPEX 器官损伤以及自身炎症性疾病活动指数),以及(3)治疗分层评分(用于低丙种球蛋白血症)。所介绍的工具之间的临床前和统计验证深度各不相同,疾病固有和用户依赖性因素使其更广泛的应用变得复杂。为了支持对免疫失调性疾病进行前瞻性监测的可比、标准化评估,我们提出了 IDDA2.1 评分(包含 22 个参数,采用 2-5 步量表),作为一种简单但全面且强大的工具。该评分最初是为 LRBA 缺陷的回顾性研究而开发的,新版本可应用于所有免疫失调的先天性免疫缺陷。我们回顾了数百名患者的已发表汇总队列数据,展示了 IDDA 万花筒功能在 18 种示例先天性免疫缺陷中的应用,作为一种有益的表型模式可视化工具,并通过无监督的层次聚类热图数学确认了它们在表型表达谱中的相似性和差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb14/9016022/b5f8c200f223/10875_2021_1177_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验