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Islet Autoantibody Standardization Program: interlaboratory comparison of insulin autoantibody assay performance in 2018 and 2020 workshops
Aims/hypothesis The Islet Autoantibody Standardization Program (IASP) aims to improve the performance of immunoassays measuring autoantibodies in type 1 diabetes and the concordance of results across laboratories. IASP organises international workshops distributing anonymised serum samples to partic...
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Published in: | Diabetologia 2023-05, Vol.66 (5), p.897-912 |
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creator | Marzinotto, Ilaria Pittman, David L. Williams, Alistair J. K. Long, Anna E. Achenbach, Peter Schlosser, Michael Akolkar, Beena Winter, William E. Lampasona, Vito |
description | Aims/hypothesis
The Islet Autoantibody Standardization Program (IASP) aims to improve the performance of immunoassays measuring autoantibodies in type 1 diabetes and the concordance of results across laboratories. IASP organises international workshops distributing anonymised serum samples to participating laboratories and centralises the collection and analysis of results. In this report, we describe the results of assays measuring IAA submitted to the IASP 2018 and 2020 workshops.
Methods
The IASP distributed uniquely coded sera from individuals with new-onset type 1 diabetes, multiple islet autoantibody-positive individuals, and diabetes-free blood donors in both 2018 and 2020. Serial dilutions of the anti-insulin mouse monoclonal antibody HUI-018 were also included. Sensitivity, specificity, area under the receiver operating characteristic curve (ROC-AUC), partial ROC-AUC at 95% specificity (pAUC95) and concordance of qualitative/quantitative results were compared across assays.
Results
Results from 45 IAA assays of seven different formats and from 37 IAA assays of six different formats were submitted to the IASP in 2018 and 2020, respectively. The median ROC-AUC was 0.736 (IQR 0.617–0.803) and 0.790 (IQR 0.730–0.836), while the median pAUC95 was 0.016 (IQR 0.004–0.021) and 0.023 (IQR 0.014–0.026) in the 2018 and 2020 workshops, respectively. Assays largely differed in AUC (IASP 2018 range 0.232–0.874; IASP 2020 range 0.379–0.924) and pAUC95 (IASP 2018 and IASP 2020 range 0–0.032).
Conclusions/interpretation
Assay formats submitted to this study showed heterogeneous performance. Despite the high variability across laboratories, the in-house radiobinding assay (RBA) remains the gold standard for IAA measurement. However, novel non-radioactive IAA immunoassays showed a good performance and, if further improved, might be considered valid alternatives to RBAs.
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doi_str_mv | 10.1007/s00125-023-05877-9 |
format | article |
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The Islet Autoantibody Standardization Program (IASP) aims to improve the performance of immunoassays measuring autoantibodies in type 1 diabetes and the concordance of results across laboratories. IASP organises international workshops distributing anonymised serum samples to participating laboratories and centralises the collection and analysis of results. In this report, we describe the results of assays measuring IAA submitted to the IASP 2018 and 2020 workshops.
Methods
The IASP distributed uniquely coded sera from individuals with new-onset type 1 diabetes, multiple islet autoantibody-positive individuals, and diabetes-free blood donors in both 2018 and 2020. Serial dilutions of the anti-insulin mouse monoclonal antibody HUI-018 were also included. Sensitivity, specificity, area under the receiver operating characteristic curve (ROC-AUC), partial ROC-AUC at 95% specificity (pAUC95) and concordance of qualitative/quantitative results were compared across assays.
Results
Results from 45 IAA assays of seven different formats and from 37 IAA assays of six different formats were submitted to the IASP in 2018 and 2020, respectively. The median ROC-AUC was 0.736 (IQR 0.617–0.803) and 0.790 (IQR 0.730–0.836), while the median pAUC95 was 0.016 (IQR 0.004–0.021) and 0.023 (IQR 0.014–0.026) in the 2018 and 2020 workshops, respectively. Assays largely differed in AUC (IASP 2018 range 0.232–0.874; IASP 2020 range 0.379–0.924) and pAUC95 (IASP 2018 and IASP 2020 range 0–0.032).
Conclusions/interpretation
Assay formats submitted to this study showed heterogeneous performance. Despite the high variability across laboratories, the in-house radiobinding assay (RBA) remains the gold standard for IAA measurement. However, novel non-radioactive IAA immunoassays showed a good performance and, if further improved, might be considered valid alternatives to RBAs.
Graphical abstract</description><identifier>ISSN: 0012-186X</identifier><identifier>EISSN: 1432-0428</identifier><identifier>DOI: 10.1007/s00125-023-05877-9</identifier><identifier>PMID: 36759347</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animals ; Antibodies ; Autoantibodies ; Blood donors ; Diabetes ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 ; Glutamate Decarboxylase ; Human Physiology ; Immunoassay ; Insulin ; Insulin Antibodies ; Internal Medicine ; Laboratories ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Mice ; Monoclonal antibodies ; Reference Standards ; ROC Curve ; Sensitivity and Specificity ; Standardization</subject><ispartof>Diabetologia, 2023-05, Vol.66 (5), p.897-912</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-58c95601cf0a4c3fd71c8703744ba0b129ed80f2672673788721f4545385047f3</citedby><cites>FETCH-LOGICAL-c475t-58c95601cf0a4c3fd71c8703744ba0b129ed80f2672673788721f4545385047f3</cites><orcidid>0000-0002-6847-2771 ; 0000-0002-4765-4509 ; 0000-0001-5162-8445 ; 0000-0001-6720-2684 ; 0000-0002-2351-5942</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36759347$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marzinotto, Ilaria</creatorcontrib><creatorcontrib>Pittman, David L.</creatorcontrib><creatorcontrib>Williams, Alistair J. K.</creatorcontrib><creatorcontrib>Long, Anna E.</creatorcontrib><creatorcontrib>Achenbach, Peter</creatorcontrib><creatorcontrib>Schlosser, Michael</creatorcontrib><creatorcontrib>Akolkar, Beena</creatorcontrib><creatorcontrib>Winter, William E.</creatorcontrib><creatorcontrib>Lampasona, Vito</creatorcontrib><creatorcontrib>participating laboratories</creatorcontrib><creatorcontrib>participating laboratories</creatorcontrib><title>Islet Autoantibody Standardization Program: interlaboratory comparison of insulin autoantibody assay performance in 2018 and 2020 workshops</title><title>Diabetologia</title><addtitle>Diabetologia</addtitle><addtitle>Diabetologia</addtitle><description>Aims/hypothesis
The Islet Autoantibody Standardization Program (IASP) aims to improve the performance of immunoassays measuring autoantibodies in type 1 diabetes and the concordance of results across laboratories. IASP organises international workshops distributing anonymised serum samples to participating laboratories and centralises the collection and analysis of results. In this report, we describe the results of assays measuring IAA submitted to the IASP 2018 and 2020 workshops.
Methods
The IASP distributed uniquely coded sera from individuals with new-onset type 1 diabetes, multiple islet autoantibody-positive individuals, and diabetes-free blood donors in both 2018 and 2020. Serial dilutions of the anti-insulin mouse monoclonal antibody HUI-018 were also included. Sensitivity, specificity, area under the receiver operating characteristic curve (ROC-AUC), partial ROC-AUC at 95% specificity (pAUC95) and concordance of qualitative/quantitative results were compared across assays.
Results
Results from 45 IAA assays of seven different formats and from 37 IAA assays of six different formats were submitted to the IASP in 2018 and 2020, respectively. The median ROC-AUC was 0.736 (IQR 0.617–0.803) and 0.790 (IQR 0.730–0.836), while the median pAUC95 was 0.016 (IQR 0.004–0.021) and 0.023 (IQR 0.014–0.026) in the 2018 and 2020 workshops, respectively. Assays largely differed in AUC (IASP 2018 range 0.232–0.874; IASP 2020 range 0.379–0.924) and pAUC95 (IASP 2018 and IASP 2020 range 0–0.032).
Conclusions/interpretation
Assay formats submitted to this study showed heterogeneous performance. Despite the high variability across laboratories, the in-house radiobinding assay (RBA) remains the gold standard for IAA measurement. However, novel non-radioactive IAA immunoassays showed a good performance and, if further improved, might be considered valid alternatives to RBAs.
Graphical abstract</description><subject>Animals</subject><subject>Antibodies</subject><subject>Autoantibodies</subject><subject>Blood donors</subject><subject>Diabetes</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1</subject><subject>Glutamate Decarboxylase</subject><subject>Human Physiology</subject><subject>Immunoassay</subject><subject>Insulin</subject><subject>Insulin Antibodies</subject><subject>Internal Medicine</subject><subject>Laboratories</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Mice</subject><subject>Monoclonal antibodies</subject><subject>Reference Standards</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Standardization</subject><issn>0012-186X</issn><issn>1432-0428</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kV1rFDEYhYModl39A15IwJvejL75mmS8kVL8KBQUVPAuZDOZbepMMiYZZf0L_mmz3VqrF0IggfPknLw5CD0m8IwAyOcZgFDRAGUNCCVl091BK8IZbYBTdRet9npDVPv5CD3I-RIAmODtfXTEWik6xuUK_TzLoyv4ZCnRhOI3sd_hD8WE3qTe_zDFx4Dfp7hNZnqBfSgujWYTkykx7bCN02ySz5WJQ1XzMvqAzW0vk7PZ4dmlIabJBOsqhikQhWtGPVDA32P6ki_inB-ie4MZs3t0va_Rp9evPp6-bc7fvTk7PTlvLJeiNELZTrRA7ACGWzb0klglgUnONwY2hHauVzDQVtbFpFKSkoELLpgSwOXA1ujlwXdeNpPrrQslmVHPyU8m7XQ0Xv-tBH-ht_Gbrr_OWl6N1uj42iHFr4vLRU8-WzeOJri4ZE2lFC3l0HUVffoPehmXFOp8lVKdUoxdGdIDZVPMObnh5jUE9rFSH8rWtWx9VbbeWz-5PcfNld_tVoAdgFylsHXpT_Z_bH8BWeG2lQ</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Marzinotto, Ilaria</creator><creator>Pittman, David L.</creator><creator>Williams, Alistair J. K.</creator><creator>Long, Anna E.</creator><creator>Achenbach, Peter</creator><creator>Schlosser, Michael</creator><creator>Akolkar, Beena</creator><creator>Winter, William E.</creator><creator>Lampasona, Vito</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6847-2771</orcidid><orcidid>https://orcid.org/0000-0002-4765-4509</orcidid><orcidid>https://orcid.org/0000-0001-5162-8445</orcidid><orcidid>https://orcid.org/0000-0001-6720-2684</orcidid><orcidid>https://orcid.org/0000-0002-2351-5942</orcidid></search><sort><creationdate>20230501</creationdate><title>Islet Autoantibody Standardization Program: interlaboratory comparison of insulin autoantibody assay performance in 2018 and 2020 workshops</title><author>Marzinotto, Ilaria ; Pittman, David L. ; Williams, Alistair J. K. ; Long, Anna E. ; Achenbach, Peter ; Schlosser, Michael ; Akolkar, Beena ; Winter, William E. ; Lampasona, Vito</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-58c95601cf0a4c3fd71c8703744ba0b129ed80f2672673788721f4545385047f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Animals</topic><topic>Antibodies</topic><topic>Autoantibodies</topic><topic>Blood donors</topic><topic>Diabetes</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diabetes Mellitus, Type 1</topic><topic>Glutamate Decarboxylase</topic><topic>Human Physiology</topic><topic>Immunoassay</topic><topic>Insulin</topic><topic>Insulin Antibodies</topic><topic>Internal Medicine</topic><topic>Laboratories</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Mice</topic><topic>Monoclonal antibodies</topic><topic>Reference Standards</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Standardization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marzinotto, Ilaria</creatorcontrib><creatorcontrib>Pittman, David L.</creatorcontrib><creatorcontrib>Williams, Alistair J. K.</creatorcontrib><creatorcontrib>Long, Anna E.</creatorcontrib><creatorcontrib>Achenbach, Peter</creatorcontrib><creatorcontrib>Schlosser, Michael</creatorcontrib><creatorcontrib>Akolkar, Beena</creatorcontrib><creatorcontrib>Winter, William E.</creatorcontrib><creatorcontrib>Lampasona, Vito</creatorcontrib><creatorcontrib>participating laboratories</creatorcontrib><creatorcontrib>participating laboratories</creatorcontrib><collection>SpringerOpen (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diabetologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marzinotto, Ilaria</au><au>Pittman, David L.</au><au>Williams, Alistair J. K.</au><au>Long, Anna E.</au><au>Achenbach, Peter</au><au>Schlosser, Michael</au><au>Akolkar, Beena</au><au>Winter, William E.</au><au>Lampasona, Vito</au><aucorp>participating laboratories</aucorp><aucorp>participating laboratories</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Islet Autoantibody Standardization Program: interlaboratory comparison of insulin autoantibody assay performance in 2018 and 2020 workshops</atitle><jtitle>Diabetologia</jtitle><stitle>Diabetologia</stitle><addtitle>Diabetologia</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>66</volume><issue>5</issue><spage>897</spage><epage>912</epage><pages>897-912</pages><issn>0012-186X</issn><eissn>1432-0428</eissn><abstract>Aims/hypothesis
The Islet Autoantibody Standardization Program (IASP) aims to improve the performance of immunoassays measuring autoantibodies in type 1 diabetes and the concordance of results across laboratories. IASP organises international workshops distributing anonymised serum samples to participating laboratories and centralises the collection and analysis of results. In this report, we describe the results of assays measuring IAA submitted to the IASP 2018 and 2020 workshops.
Methods
The IASP distributed uniquely coded sera from individuals with new-onset type 1 diabetes, multiple islet autoantibody-positive individuals, and diabetes-free blood donors in both 2018 and 2020. Serial dilutions of the anti-insulin mouse monoclonal antibody HUI-018 were also included. Sensitivity, specificity, area under the receiver operating characteristic curve (ROC-AUC), partial ROC-AUC at 95% specificity (pAUC95) and concordance of qualitative/quantitative results were compared across assays.
Results
Results from 45 IAA assays of seven different formats and from 37 IAA assays of six different formats were submitted to the IASP in 2018 and 2020, respectively. The median ROC-AUC was 0.736 (IQR 0.617–0.803) and 0.790 (IQR 0.730–0.836), while the median pAUC95 was 0.016 (IQR 0.004–0.021) and 0.023 (IQR 0.014–0.026) in the 2018 and 2020 workshops, respectively. Assays largely differed in AUC (IASP 2018 range 0.232–0.874; IASP 2020 range 0.379–0.924) and pAUC95 (IASP 2018 and IASP 2020 range 0–0.032).
Conclusions/interpretation
Assay formats submitted to this study showed heterogeneous performance. Despite the high variability across laboratories, the in-house radiobinding assay (RBA) remains the gold standard for IAA measurement. However, novel non-radioactive IAA immunoassays showed a good performance and, if further improved, might be considered valid alternatives to RBAs.
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subjects | Animals Antibodies Autoantibodies Blood donors Diabetes Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 Glutamate Decarboxylase Human Physiology Immunoassay Insulin Insulin Antibodies Internal Medicine Laboratories Medicine Medicine & Public Health Metabolic Diseases Mice Monoclonal antibodies Reference Standards ROC Curve Sensitivity and Specificity Standardization |
title | Islet Autoantibody Standardization Program: interlaboratory comparison of insulin autoantibody assay performance in 2018 and 2020 workshops |
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