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The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016022/ https://www.ncbi.nlm.nih.gov/pubmed/34797428 http://dx.doi.org/10.1007/s10875-021-01177-2 |
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author | Seidel, Markus G. Tesch, Victoria K. Yang, Linlin Hauck, Fabian Horn, Anna Lena Smolle, Maria Anna Quehenberger, Franz Benesch, Martin |
author_facet | Seidel, Markus G. Tesch, Victoria K. Yang, Linlin Hauck, Fabian Horn, Anna Lena Smolle, Maria Anna Quehenberger, Franz Benesch, Martin |
author_sort | Seidel, Markus G. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-021-01177-2. |
format | Online Article Text |
id | pubmed-9016022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90160222022-05-02 The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity Seidel, Markus G. Tesch, Victoria K. Yang, Linlin Hauck, Fabian Horn, Anna Lena Smolle, Maria Anna Quehenberger, Franz Benesch, Martin J Clin Immunol Original Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-021-01177-2. Springer US 2021-11-19 2022 /pmc/articles/PMC9016022/ /pubmed/34797428 http://dx.doi.org/10.1007/s10875-021-01177-2 Text en © The Author(s) 2021, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Seidel, Markus G. Tesch, Victoria K. Yang, Linlin Hauck, Fabian Horn, Anna Lena Smolle, Maria Anna Quehenberger, Franz Benesch, Martin The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title | The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title_full | The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title_fullStr | The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title_full_unstemmed | The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title_short | The Immune Deficiency and Dysregulation Activity (IDDA2.1 ‘Kaleidoscope’) Score and Other Clinical Measures in Inborn Errors of Immunity |
title_sort | immune deficiency and dysregulation activity (idda2.1 ‘kaleidoscope’) score and other clinical measures in inborn errors of immunity |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016022/ https://www.ncbi.nlm.nih.gov/pubmed/34797428 http://dx.doi.org/10.1007/s10875-021-01177-2 |
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