Cargando…

Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes

AIM/INTRODUCTION: To investigate the differences in the clinical significance and glutamic acid decarboxylase autoantibody (GADA) affinity between RIA (RIA‐GADA) and ELISA (ELISA‐GADA) in patients with type 1 diabetes. METHODS: A total of 415 patients with type 1 diabetes were enrolled, including 19...

Descripción completa

Detalles Bibliográficos
Autores principales: Kawasaki, Eiji, Shimada, Akira, Imagawa, Akihisa, Abiru, Norio, Awata, Takuya, Oikawa, Yoichi, Osawa, Haruhiko, Kawabata, Yumiko, Kozawa, Junji, Kobayashi, Tetsuro, Takahashi, Kazuma, Chujo, Daisuke, Fukui, Tomoyasu, Miura, Junnosuke, Yasuda, Kazuki, Yasuda, Hisafumi, Kajio, Hiroshi, Hanafusa, Toshiaki, Ikegami, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034953/
https://www.ncbi.nlm.nih.gov/pubmed/36691729
http://dx.doi.org/10.1111/jdi.13980
_version_ 1784911321129549824
author Kawasaki, Eiji
Shimada, Akira
Imagawa, Akihisa
Abiru, Norio
Awata, Takuya
Oikawa, Yoichi
Osawa, Haruhiko
Kawabata, Yumiko
Kozawa, Junji
Kobayashi, Tetsuro
Takahashi, Kazuma
Chujo, Daisuke
Fukui, Tomoyasu
Miura, Junnosuke
Yasuda, Kazuki
Yasuda, Hisafumi
Kajio, Hiroshi
Hanafusa, Toshiaki
Ikegami, Hiroshi
author_facet Kawasaki, Eiji
Shimada, Akira
Imagawa, Akihisa
Abiru, Norio
Awata, Takuya
Oikawa, Yoichi
Osawa, Haruhiko
Kawabata, Yumiko
Kozawa, Junji
Kobayashi, Tetsuro
Takahashi, Kazuma
Chujo, Daisuke
Fukui, Tomoyasu
Miura, Junnosuke
Yasuda, Kazuki
Yasuda, Hisafumi
Kajio, Hiroshi
Hanafusa, Toshiaki
Ikegami, Hiroshi
author_sort Kawasaki, Eiji
collection PubMed
description AIM/INTRODUCTION: To investigate the differences in the clinical significance and glutamic acid decarboxylase autoantibody (GADA) affinity between RIA (RIA‐GADA) and ELISA (ELISA‐GADA) in patients with type 1 diabetes. METHODS: A total of 415 patients with type 1 diabetes were enrolled, including 199 acute‐onset type 1 diabetes, 168 slowly progressive type 1 diabetes (SPIDDM), and 48 fulminant type 1 diabetes. GADA affinity was measured by a competitive binding experiment using unlabeled recombinant human GAD65 protein, and the diagnostic performance of both assays and the relationship between GADA affinity and the decline of fasting C‐peptide (F‐CPR) were examined. RESULTS: While the ELISA‐GADA displayed a higher sensitivity than the RIA method in diagnosing type 1 diabetes in acute‐onset patients, about 40% of SPIDDM patients with low‐titer RIA‐GADA were determined as negative by the ELISA method. Patients with type 1 diabetes with RIA‐GADA alone had an older age of onset, less diabetic ketoacidosis, a higher BMI, and a higher F‐CPR compared with patients positive for both RIA‐GADA and ELISA‐GADA. Additionally, 36% of RIA‐GADA‐positive patients had low‐affinity GADA (<10(10) L/mol), which was significantly higher than in the ELISA‐GADA‐positive patients (4%, P < 0.0001). Furthermore, over a 3 year monitoring period, F‐CPR levels decreased in ELISA‐GADA‐positive SPIDDM, whereas it was maintained in patients with RIA‐GADA alone, regardless of GADA affinity. CONCLUSIONS: These results suggest that bivalent ELISA for GADA is superior to the RIA method in diagnosing type 1 diabetes. Moreover, the diagnostic superiority of the ELISA‐GADA made possible the concurrent identification of SPIDDM patients at high‐risk of early progression, and allowed for more accurate clinical diagnosis and management.
format Online
Article
Text
id pubmed-10034953
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-100349532023-03-24 Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes Kawasaki, Eiji Shimada, Akira Imagawa, Akihisa Abiru, Norio Awata, Takuya Oikawa, Yoichi Osawa, Haruhiko Kawabata, Yumiko Kozawa, Junji Kobayashi, Tetsuro Takahashi, Kazuma Chujo, Daisuke Fukui, Tomoyasu Miura, Junnosuke Yasuda, Kazuki Yasuda, Hisafumi Kajio, Hiroshi Hanafusa, Toshiaki Ikegami, Hiroshi J Diabetes Investig Articles AIM/INTRODUCTION: To investigate the differences in the clinical significance and glutamic acid decarboxylase autoantibody (GADA) affinity between RIA (RIA‐GADA) and ELISA (ELISA‐GADA) in patients with type 1 diabetes. METHODS: A total of 415 patients with type 1 diabetes were enrolled, including 199 acute‐onset type 1 diabetes, 168 slowly progressive type 1 diabetes (SPIDDM), and 48 fulminant type 1 diabetes. GADA affinity was measured by a competitive binding experiment using unlabeled recombinant human GAD65 protein, and the diagnostic performance of both assays and the relationship between GADA affinity and the decline of fasting C‐peptide (F‐CPR) were examined. RESULTS: While the ELISA‐GADA displayed a higher sensitivity than the RIA method in diagnosing type 1 diabetes in acute‐onset patients, about 40% of SPIDDM patients with low‐titer RIA‐GADA were determined as negative by the ELISA method. Patients with type 1 diabetes with RIA‐GADA alone had an older age of onset, less diabetic ketoacidosis, a higher BMI, and a higher F‐CPR compared with patients positive for both RIA‐GADA and ELISA‐GADA. Additionally, 36% of RIA‐GADA‐positive patients had low‐affinity GADA (<10(10) L/mol), which was significantly higher than in the ELISA‐GADA‐positive patients (4%, P < 0.0001). Furthermore, over a 3 year monitoring period, F‐CPR levels decreased in ELISA‐GADA‐positive SPIDDM, whereas it was maintained in patients with RIA‐GADA alone, regardless of GADA affinity. CONCLUSIONS: These results suggest that bivalent ELISA for GADA is superior to the RIA method in diagnosing type 1 diabetes. Moreover, the diagnostic superiority of the ELISA‐GADA made possible the concurrent identification of SPIDDM patients at high‐risk of early progression, and allowed for more accurate clinical diagnosis and management. John Wiley and Sons Inc. 2023-01-23 /pmc/articles/PMC10034953/ /pubmed/36691729 http://dx.doi.org/10.1111/jdi.13980 Text en © 2023 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Articles
Kawasaki, Eiji
Shimada, Akira
Imagawa, Akihisa
Abiru, Norio
Awata, Takuya
Oikawa, Yoichi
Osawa, Haruhiko
Kawabata, Yumiko
Kozawa, Junji
Kobayashi, Tetsuro
Takahashi, Kazuma
Chujo, Daisuke
Fukui, Tomoyasu
Miura, Junnosuke
Yasuda, Kazuki
Yasuda, Hisafumi
Kajio, Hiroshi
Hanafusa, Toshiaki
Ikegami, Hiroshi
Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title_full Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title_fullStr Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title_full_unstemmed Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title_short Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes
title_sort bivalent gad autoantibody elisa improves clinical utility and risk prediction for adult autoimmune diabetes
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034953/
https://www.ncbi.nlm.nih.gov/pubmed/36691729
http://dx.doi.org/10.1111/jdi.13980
work_keys_str_mv AT kawasakieiji bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT shimadaakira bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT imagawaakihisa bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT abirunorio bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT awatatakuya bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT oikawayoichi bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT osawaharuhiko bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT kawabatayumiko bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT kozawajunji bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT kobayashitetsuro bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT takahashikazuma bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT chujodaisuke bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT fukuitomoyasu bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT miurajunnosuke bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT yasudakazuki bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT yasudahisafumi bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT kajiohiroshi bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT hanafusatoshiaki bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT ikegamihiroshi bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes
AT bivalentgadautoantibodyelisaimprovesclinicalutilityandriskpredictionforadultautoimmunediabetes