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Achenbach P, Berner R, Bonifacio E, Brämswig S, Braig S, Dunstheimer D, Ermer U, Ewald D, Gemulla G, Hauer J, Haupt F, Haus G, Hubmann M, Hummel S, Kandler M, Kordonouri O, Lange K, Laub O, Lorrmann A, Nellen-Hellmuth N, Sindichakis M, von dem Berge T, Warncke K, Weber L, Winkler C, Wintermeyer P, Ziegler AG. [Early Detection Of Type 1 Diabetes By Islet Autoantibody Screening: A Position Paper Of The Fr1daplex Project Leaders And Training Centres, Bvkj Bavaria And Paednetz (Registered) Bavaria]. DAS GESUNDHEITSWESEN 2024. [PMID: 38710228 DOI: 10.1055/a-2320-2859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
This position paper is based on the authors' many years of clinical experience and basic science research on the diagnosis and treatment of children and adolescents with a presymptomatic early stage of type 1 diabetes. The benefits as well as potential disadvantages of early detection of type 1 diabetes by islet autoantibody screening are critically discussed. In addition, the perspectives of delaying the onset of the clinical metabolic disease through treatment with teplizumab are addressed. Today, we see the chance for a relevant improvement in therapeutic options and life perspectives of affected children and adolescents. Important next steps for the implementation of islet autoantibody screening in Germany are the training of pediatricians who should inform families about the screening, establishment of a few transregional laboratories that carry out the test, and expansion of regional capacities for the training and care of children with an early stage of type 1 diabetes.
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Affiliation(s)
- Peter Achenbach
- Institut für Diabetesforschung, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | - Reinhard Berner
- Universitätsklinikum Carl Gustav Carus, Klinik und Poliklinik für Kinder- und Jugendmedizin, Technische Universität Dresden, Dresden, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Susanne Brämswig
- Klinik für Kinder- und Jugendmedizin, RoMed Klinikum Rosenheim, Rosenheim, Germany
| | - Sonja Braig
- Klinik für Kinder und Jugendliche, Klinikum Bayreuth GmbH, Bayreuth, Germany
| | - Desiree Dunstheimer
- Klinik für Kinder- und Jugendmedizin, Universitätsklinikum Augsburg, Augsburg, Germany
| | - Uwe Ermer
- Kinder- und Jugendmedizin, Ameos Klinikum St. Elisabeth Neuburg, Neuburg an der Donau, Germany
| | - Dominik Ewald
- Bahnhofstr. 24, Kinderarztpraxis, Regensburg, Germany
| | - Gita Gemulla
- Universitätsklinikum Carl Gustav Carus, Klinik und Poliklinik für Kinder- und Jugendmedizin, Technische Universität Dresden, Dresden, Germany
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Julia Hauer
- Zentrum für Kinder und Jugendmedizin, München Klinik und Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | - Florian Haupt
- Institut für Diabetesforschung, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | - Gabi Haus
- Hans-Mielich-Str. 35, Kinderarztpraxis, München, Germany
| | | | - Sandra Hummel
- Institut für Diabetesforschung, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | | | - Olga Kordonouri
- Diabetologie, Endokrinologie und Allgemeine Pädiatrie, Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Karin Lange
- Medizinische Psychologie, Medizinische Hochschule Hannover, Hannover, Germany
| | - Otto Laub
- Happinger Str. 98, Kinderarztpraxis, Rosenheim, Germany
| | - Anja Lorrmann
- Kinder und Jugendmedizin, KJF Klinik Josefinum GmbH, Augsburg, Germany
| | | | - Marina Sindichakis
- Klinik für Kinder- und Jugendmedizin, Kinderdiabetologie, Klinikum Traunstein, Traunstein, Germany
| | - Thekla von dem Berge
- Diabetologie, Endokrinologie und Allgemeine Pädiatrie, Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Katharina Warncke
- Zentrum für Kinder und Jugendmedizin, München Klinik und Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | - Leonie Weber
- Klinik für Kinderheilkunde und Jugendmedizin, Kinderdiabetologie, Klinikum Kempten-Oberallgau GmbH, Kempten, Germany
| | - Christiane Winkler
- Institut für Diabetesforschung, Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
| | | | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Center Munich German Research Center for Environmental Health, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München Fakultät für Medizin, Munchen, Germany
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Tao C, Bai Y, Chen J, Lu J, Bi Y, Li J. Detection of Glutamate Decarboxylase Antibodies and Simultaneous Multi-Molecular Translocation Exploration by Glass Nanopores. BIOSENSORS 2024; 14:255. [PMID: 38785729 PMCID: PMC11118187 DOI: 10.3390/bios14050255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/09/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024]
Abstract
Glutamic acid decarboxylase antibody (GADAb) has emerged as a significant biomarker for clinical diagnosis and prognosis in type 1 diabetes (T1D). In this study, we investigated the potential utilization of glass capillary solid-state nanopores as a cost-effective and easily preparable platform for the detection of individual antigens, antibodies, and antigen-antibody complexes without necessitating any modifications to the nanopores. Our findings revealed notable characteristic variations in the translocation events of glutamic acid decarboxylase (GAD65) through nanopores under different voltage conditions, discovered that anomalous phenomenon of protein translocation events increasing with voltage may potentially be caused by the crowding of multiple proteins in the nanopores, and demonstrated that there are multiple components in the polyclonal antibodies (GADAb-poly). Furthermore, we achieved successful differentiation between GAD65, GADAb, and GADAb-GAD65 complexes. These results offer promising prospects for the development of a rapid and reliable GADAb detection method, which holds the potential to be applied in patient serum samples, thereby facilitating a label-free, cost-effective, and early diagnosis of type I diabetes.
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Affiliation(s)
- Chongxin Tao
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing 210096, China
| | - Yun Bai
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing 210096, China
| | - Jiang Chen
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing 210096, China
| | - Jing Lu
- Department of Endocrinology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Yan Bi
- Department of Endocrinology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Jian Li
- Key Laboratory of DGHD, MOE, School of Life Science and Technology, Southeast University, Nanjing 210096, China
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Kawasaki E, Tamai H, Fukuyama T, Sagara Y, Hidaka R, Uchida A, Tojikubo M, Tatsumoto N, Akehi Y, Hiromatsu Y. Enzyme-linked immunosorbent assay of 3 Screen Islet Cell Autoantibody in patients with autoimmune thyroid disease. World J Diabetes 2024; 15:935-944. [PMID: 38766435 PMCID: PMC11099373 DOI: 10.4239/wjd.v15.i5.935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 02/07/2024] [Accepted: 03/11/2024] [Indexed: 05/10/2024] Open
Abstract
BACKGROUND In recent years, the emergence of multiplex technology that can simultaneously measure multiple anti-islet autoantibodies has become particularly valuable for the staging and early diagnosis of immune-mediated type 1 diabetes (T1D). While it has been established that 20%-30% of T1D patients suffer from autoimmune thyroid disease (AITD), there is limited available data regarding the presence of anti-islet autoantibodies in AITD patients. Among commercially available anti-islet autoantibodies, glutamic acid decarboxylase 65 autoantibodies (GADAs) are often the first marker measured in general clinical practice. AIM To investigate the frequency of anti-islet autoantibodies in AITD patients. METHODS Our study involved four hundred ninety-five AITD patients, categorized into three distinct groups: AITD with T1D (n = 18), AITD with phenotypic type 2 diabetes (T2D) (n = 81), and AITD without diabetes (n = 396), and the enzyme-linked immunosorbent assay (ELISA) was employed to determine the frequencies of 3 Screen Islet Cell Autoantibody (3 Screen ICA), GADA, insulinoma-associated antigen-2 autoantibodies (IA-2As), and zinc transporter 8 autoantibodies (ZnT8As) within these groups. RESULTS The frequency of 3 Screen ICA in AITD patients with T1D, T2D, and those without diabetes were 88.9%, 6.2%, and 5.1%, respectively, with no significant difference seen between the latter two groups. Notably, the frequency of 3 Screen ICA was 11.1% higher in AITD patients with T1D, 1.3% higher in AITD patients with T2D, and 1.1% higher in AITD patients without diabetes compared to GADA, respectively. Furthermore, 12.5%, 20.0%, and 20.0% of the 3 Screen ICA-positive patients were negative for GADA. Additionally, 1.3% of the AITD patients who tested negative for 3 Screen ICA in both the AITD with T2D and non-diabetic AITD groups were found to be positive for individual autoantibodies. Among the 3 Screen ICA-positive patients, there was a significantly higher proportion of individuals with multiple autoantibodies in AITD patients with T1D compared to those without diabetes (37.5% vs 5.0%, P < 0.05). However, this proportion was similar to that in AITD patients with T2D (20.0%). Nevertheless, there was no significant difference in 3 Screen ICA titers between AITD patients with T1D and those without diabetes (436.8 ± 66.4 vs 308.1 ± 66.4 index). Additionally, no significant difference in 3 Screen ICA titers was observed between Graves' disease and Hashimoto's thyroiditis in any of the groups. CONCLUSION Our findings reveal that some AITD patients without diabetes exhibit 3 Screen ICA titers comparable to those in AITD patients with T1D. Thus, 3 Screen ICA outperforms GADA in identifying latent anti-islet autoantibody-positive individuals among AITD patients.
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Affiliation(s)
- Eiji Kawasaki
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Hidekazu Tamai
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Takahiro Fukuyama
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Yoko Sagara
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Ryutaro Hidaka
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Aira Uchida
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Masayuki Tojikubo
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Narihito Tatsumoto
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Yuko Akehi
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
| | - Yuji Hiromatsu
- The Diabetes, Thyroid and Endocrine Center, Shin-Koga Hospital, Kurume 830-8577, Japan
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Williams CL, Marzinotto I, Brigatti C, Gillespie KM, Lampasona V, Williams AJK, Long AE. A novel, high-performance, low-volume, rapid luciferase immunoprecipitation system (LIPS) assay to detect autoantibodies to zinc transporter 8. Clin Exp Immunol 2024; 215:215-224. [PMID: 38150393 PMCID: PMC10876106 DOI: 10.1093/cei/uxad139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/01/2023] [Accepted: 12/24/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND Zinc transporter 8 autoantibodies (ZnT8A) are thought to appear close to type 1 diabetes (T1D) onset and can identify high-risk multiple (≥2) autoantibody positive individuals. Radiobinding assays (RBA) are widely used for ZnT8A measurement but have limited sustainability. We sought to develop a novel, high-performance, non-radioactive luciferase immunoprecipitation system (LIPS) assay to replace RBA. METHODS A custom dual C-terminal ZnT8 (aa268-369; R325/W325) heterodimeric antigen, tagged with a NanoluciferaseTM (Nluc-ZnT8) reporter, and LIPS assay was developed. Assay performance was evaluated by testing sera from new onset T1D (n = 573), healthy schoolchildren (n = 521), and selected first-degree relatives (FDRs) from the Bart's Oxford family study (n = 617; 164 progressed to diabetes). RESULTS In new-onset T1D, ZnT8A levels by LIPS strongly correlated with RBA (Spearman's r = 0.89; P < 0.0001), and positivity was highly concordant (94.3%). At a high specificity (95%), LIPS and RBA had comparable assay performance [LIPS pROC-AUC(95) 0.032 (95% CI: 0.029-0.036); RBA pROC-AUC(95) 0.031 (95% CI: 0.028-0.034); P = 0.376]. Overall, FDRs found positive by LIPS or RBA had a comparable 20-year diabetes risk (52.6% and 59.7%, respectively), but LIPS positivity further stratified T1D risk in FDRs positive for at least one other islet autoantibody detected by RBA (P = 0.0346). CONCLUSION This novel, high-performance, cheaper, quicker, higher throughput, low blood volume Nluc-ZnT8 LIPS assay is a safe, non-radioactive alternative to RBA with enhanced sensitivity and ability to discriminate T1D progressors. This method offers an advanced approach to current strategies to screen the general population for T1D risk for immunotherapy trials and to reduce rates of diabetic ketoacidosis at diagnosis.
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Affiliation(s)
- Claire L Williams
- Translational Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol, UK
| | - Ilaria Marzinotto
- San Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cristina Brigatti
- San Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Kathleen M Gillespie
- Translational Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol, UK
| | - Vito Lampasona
- San Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alistair J K Williams
- Translational Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol, UK
| | - Anna E Long
- Translational Health Sciences, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol, UK
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Wang J, Liu S, Meng Z, Han XX, Cai L, Xu B, Liu R, Song L, He C, Cheng Z, Zhao B. Flexible SERS Biosensor Based on Core-Shell Nanotags for Sensitive and Multiple Detection of T1DM Biomarkers. Anal Chem 2023; 95:14203-14208. [PMID: 37656042 DOI: 10.1021/acs.analchem.3c01791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Sensitive and multiple detection of the biomarkers of type 1 diabetes mellitus (T1DM) is vital to the early diagnosis and clinical treatment of T1DM. Herein, we developed a SERS-based biosensor using polyvinylidene fluoride (PVDF) membranes as a flexible support for the detection of glutamic acid decarboxylase antibodies (GADA) and insulin autoantibodies (IAA). Two kinds of silver-gold core-shell nanotags embedded with Raman probes and attached with GADA or IAA antibodies were synthesized to capture the targets, enabling highly sensitive and highly selective detection of GADA and IAA. The embedded Raman probes sandwiched between silver and gold layers guaranteed spectral stability and reliability. Moreover, the utilization of two Raman probes enables simultaneous and multiplexing detection of both GADA and IAA, improving the detection accuracy for T1DM. The proposed SERS-based method has been proven feasible for clinical sample detection, demonstrating its great potential in sensitive, reliable, and rapid diagnosis of T1DM.
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Affiliation(s)
- Jihong Wang
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Songlin Liu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Zhen Meng
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Xiao Xia Han
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
| | - Linjun Cai
- National Engineering Laboratory for AIDS Vaccine, School of Life Science, Jilin University, Changchun 130012, P. R. China
| | - Baofeng Xu
- Department of Stroke Center, First Hospital of Jilin University, Changchun 130021, P. R. China
| | - Rui Liu
- China-Japan Union Hospital of Jilin University, Changchun 130033, P. R. China
| | - Lina Song
- China-Japan Union Hospital of Jilin University, Changchun 130033, P. R. China
| | - Chengyan He
- China-Japan Union Hospital of Jilin University, Changchun 130033, P. R. China
| | - Ziyi Cheng
- Key Laboratory of Emergency and Trauma, Ministry of Education, College of Emergency and Trauma, Hainan Medical University, Haikou 571199, China
| | - Bing Zhao
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China
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Hummel S, Carl J, Friedl N, Winkler C, Kick K, Stock J, Reinmüller F, Ramminger C, Schmidt J, Lwowsky D, Braig S, Dunstheimer D, Ermer U, Gerstl EM, Weber L, Nellen-Hellmuth N, Brämswig S, Sindichakis M, Tretter S, Lorrmann A, Bonifacio E, Ziegler AG, Achenbach P. Children diagnosed with presymptomatic type 1 diabetes through public health screening have milder diabetes at clinical manifestation. Diabetologia 2023; 66:1633-1642. [PMID: 37329450 PMCID: PMC10390633 DOI: 10.1007/s00125-023-05953-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/25/2023] [Indexed: 06/19/2023]
Abstract
AIMS/HYPOTHESIS We aimed to determine whether disease severity was reduced at onset of clinical (stage 3) type 1 diabetes in children previously diagnosed with presymptomatic type 1 diabetes in a population-based screening programme for islet autoantibodies. METHODS Clinical data obtained at diagnosis of stage 3 type 1 diabetes were evaluated in 128 children previously diagnosed with presymptomatic early-stage type 1 diabetes between 2015 and 2022 in the Fr1da study and compared with data from 736 children diagnosed with incident type 1 diabetes between 2009 and 2018 at a similar age in the DiMelli study without prior screening. RESULTS At the diagnosis of stage 3 type 1 diabetes, children with a prior early-stage diagnosis had lower median HbA1c (51 mmol/mol vs 91 mmol/mol [6.8% vs 10.5%], p<0.001), lower median fasting glucose (5.3 mmol/l vs 7.2 mmol/l, p<0.05) and higher median fasting C-peptide (0.21 nmol/l vs 0.10 nmol/l, p<0.001) compared with children without previous early-stage diagnosis. Fewer participants with prior early-stage diagnosis had ketonuria (22.2% vs 78.4%, p<0.001) or required insulin treatment (72.3% vs 98.1%, p<0.05) and only 2.5% presented with diabetic ketoacidosis at diagnosis of stage 3 type 1 diabetes. Outcomes in children with a prior early-stage diagnosis were not associated with a family history of type 1 diabetes or diagnosis during the COVID-19 pandemic. A milder clinical presentation was observed in children who participated in education and monitoring after early-stage diagnosis. CONCLUSIONS/INTERPRETATION Diagnosis of presymptomatic type 1 diabetes in children followed by education and monitoring improved clinical presentation at the onset of stage 3 type 1 diabetes.
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Affiliation(s)
- Sandra Hummel
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- German Center for Diabetes Research (DZD), Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
- Forschergruppe Diabetes at Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany.
| | - Johanna Carl
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Nadine Friedl
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Kerstin Kick
- Forschergruppe Diabetes at Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Joanna Stock
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Franziska Reinmüller
- Forschergruppe Diabetes at Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Claudia Ramminger
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Jennifer Schmidt
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | | | - Sonja Braig
- Pediatric Clinic of the Bayreuth Hospital, Bayreuth, Germany
| | | | - Uwe Ermer
- St Elisabeth Klinik, Neuburg an der Donau, Germany
| | | | | | | | | | | | | | | | - Ezio Bonifacio
- German Center for Diabetes Research (DZD), Munich, Germany
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Centre Munich at the University Clinic Carl Gustav Carus of TU Dresden and Faculty of Medicine, Dresden, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
- Forschergruppe Diabetes at Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- German Center for Diabetes Research (DZD), Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
- Forschergruppe Diabetes at Klinikum rechts der Isar, School of Medicine, Technical University Munich, Munich, Germany.
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Wang Y, Li MH, Wen XH, Liu MY, Lu YW, Gu Y, Zeng G, Zhao XF, Liu BH, Ji XM, Lu HL. Study of an Ultrasensitive Label-Free Electrochemiluminescent Immunosensor Fabricated with a Composite Electrode for Detecting the Glutamate Decarboxylase Antibody. ACS Sens 2023. [PMID: 37364058 DOI: 10.1021/acssensors.3c00575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Antibody testing for the glutamic acid decarboxylase 65 antibody (GADA) is widely used as a golden standard for autoimmune diabetes diagnosis, while current methods for antibody testing are not sensitive enough for clinical usage. Here, a label-free electrochemiluminescent (ECL) immunosensor for detecting GADA in autoimmune diabetes is fabricated and investigated. In the designed immunosensor, a composite film including the multiwalled carbon nanotubes (MWCNTs), zinc oxide (ZnO), and Au nanoparticles (AuNPs) was prepared through nanofabrication processes to improve the performance of sensor. The MWCNTs, which can provide a larger specific surface area, ZnO as a good photocatalytic material, and AuNPs that can enhance the ECL signal of luminol and immobilize the GAD65 antigen were applied to prefunctionalize indium tin oxide (ITO) glass based on a nanofabrication process. The GADA concentration was detected using the ECL immunosensor after incubating with GAD65 antigen-coated prefunctionalized ITO glass. After a direct immunoreaction, it is found that the degree of decreased ECL intensity has a good linear regression toward the logarithm of the GADA concentration in the range of 0.01 to 50 ng mL-1 with a detection limit down to 10 pg mL-1. Human serum samples positive or negative for GADA all nicely fell in the expected area. The fabricated immunosensor with excellent sensitivity, specificity, and stability has potential capability for clinical usage in GADA detection.
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Affiliation(s)
- Yang Wang
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Mei-Hang Li
- Department of Pharmacy, Jinan University, Guangzhou 511436, China
| | - Xiao-Hong Wen
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Meng-Yang Liu
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Yan-Wei Lu
- Department of Chemistry, State Key Lab of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Yang Gu
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Guang Zeng
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Xue-Feng Zhao
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Bao-Hong Liu
- Department of Chemistry, State Key Lab of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Xin-Ming Ji
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
| | - Hong-Liang Lu
- State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics & Systems, School of Microelectronics, Fudan University, Shanghai 200433, China
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Takehana N, Fukui T, Mori Y, Hiromura M, Terasaki M, Ohara M, Takada M, Tomoyasu M, Ito Y, Kobayashi T, Yamagishi SI. Comparison of positive rates between glutamic acid decarboxylase antibodies and ElisaRSR™ 3 Screen ICA™ in recently obtained sera from patients who had been previously diagnosed with slowly progressive type 1 diabetes. J Diabetes Investig 2023. [PMID: 37082800 DOI: 10.1111/jdi.14016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 04/22/2023] Open
Abstract
AIMS/INTRODUCTION This study aimed to compare the positivity rates of glutamic acid decarboxylase autoantibodies (GADA) and ElisaRSR™ 3 Screen ICA™ (3 Screen ICA), a newly developed assay for the simultaneous measurement of GADA, insulinoma-associated antigen-2 autoantibodies (IA-2A), and zinc transporter 8 autoantibodies (ZnT8A), in recently obtained sera from patients who had been previously diagnosed with slowly progressive type 1 diabetes (SPIDDM). MATERIALS AND METHODS We enrolled 53 patients with SPIDDM who were positive for GADA at the diagnosis and 98 non-diabetic individuals, and investigated the diagnostic accuracy of the 3 Screen ICA (cutoff index ≥30 units) compared with that of GADA. In addition, we compared the clinical characteristics of patients with SPIDDM who were negative or positive on 3 Screen ICA. RESULTS The positivity rates of 3 Screen ICA, GADA, IA-2A, and ZnT8A were 88.7, 86.8, 24.5, and 13.2%, respectively. The respective sensitivity, specificity, and positive and negative predictive values for SPIDDM were 88.7, 100, 100, and 94.2% by 3 Screen ICA and 86.8, 100, 100.0, and 93.3% by GADA. There were no significant differences in age at onset, duration of diabetes, body mass index, glycated hemoglobin and C-peptide levels, and the prevalence of autoimmune thyroiditis between patients with SPIDDM who were positive or negative on 3 Screen ICA. However, the prevalence of insulin users was significantly higher in those who were positive than in those who were negative on 3 Screen ICA. CONCLUSIONS Similar to GADA, 3 Screen ICA may be a useful diagnostic tool for detecting patients with SPIDDM.
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Affiliation(s)
- Nobuaki Takehana
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Tomoyasu Fukui
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yusaku Mori
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Anti-glycation Research Section, Showa University School of Medicine, Tokyo, Japan
| | - Munenori Hiromura
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Michishige Terasaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Makoto Ohara
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Michiya Takada
- Department of Internal Medicine, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Masako Tomoyasu
- Department of Internal Medicine, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | | | - Tetsuro Kobayashi
- Division of Immunology and Molecular Medicine, Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | - Sho-Ichi Yamagishi
- Division of Diabetes, Metabolism and Endocrinology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
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Atapattu N, Amoroso M, Powell M, de Silva DGH, de Silva KSH, Furmaniak J, Rees Smith B, Premawardhana LD. The prevalence of diabetes and thyroid related autoantibodies in Sri Lankan children with type 1 diabetes and their unaffected siblings - The utility of a new screening assay. Front Endocrinol (Lausanne) 2023; 14:1028285. [PMID: 36814577 PMCID: PMC9939822 DOI: 10.3389/fendo.2023.1028285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND There is limited information about diabetes and thyroid related autoantibodies in children with type 1 diabetes (T1D) or their siblings in Sri Lanka. OBJECTIVES To assess in T1D children and their unaffected siblings the prevalence of autoantibodies to (1) glutamic acid decarboxylase (GADA), insulinoma associated antigen-2 (IA-2A) and zinc transporter 8 (ZnT8A) using 3 Screen ICA™ (3-Screen) and individual ELISA assays; (2) insulin (IAA); and (3) thyroid peroxidase (TPOA), thyroglobulin (TgA) and the TSH receptor (TSHRA). METHODS We selected - (a) consecutive T1D children, and (b) their unaffected siblings of both sexes, from the T1D Registry at Lady Ridgeway Hospital, Colombo. RESULTS The median age (IQR) of 235 T1D children and 252 unaffected siblings was 11 (8.4, 13.2) and 9 (5.4, 14.9) years respectively, and the duration of T1D was 23 (7, 54) months. (1) T1D children (a) 79.1% were 3-Screen positive; (b) all 3-Screen positives were individual antibody positive (GADA in 74%; IA-2A 31.1%; ZnT8A 38.7%); (c) and were younger (p=0.01 vs 3-Screen negatives); (d) multiple autoantibodies were present in 45.1%; (e) IA-2A (p=0.002) and ZnT8A (p=0.006) prevalence decreased with T1D duration. (f) TPOA and TgA prevalence was higher in T1D children compared to unaffected siblings (28%, p=0.001 and 31%, p=0.004, respectively). (2) Unaffected siblings (a) 6.3% were 3-Screen positive (p=0.001 vs T1D), and 2.4% were positive for IAA; (b) four subjects had two diabetes related autoantibodies, one of whom developed dysglycaemia during follow-up. CONCLUSIONS The 3-Screen assay, used for the first time in Sri Lankan T1D children and their siblings as a screening tool, shows a high prevalence of T1D related Abs with a high correlation with individual assays, and is also a helpful tool in screening unaffected siblings for future T1D risk. The higher prevalence of thyroid autoantibodies in T1D children is consistent with polyglandular autoimmunity.
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Affiliation(s)
- Navoda Atapattu
- Endocrinology and Diabetes Unit, Lady Ridgeway Hospital, Colombo, Sri Lanka
- *Correspondence: Navoda Atapattu,
| | - Marie Amoroso
- FIRS Laboratories, RSR Ltd., Cardiff, United Kingdom
| | | | - D. G. Harendra de Silva
- Department of Paediatrics, Lady Ridgeway Hospital and Faculty of Medicine, Colombo, Sri Lanka
| | - K. Shamya H. de Silva
- Department of Paediatrics, Lady Ridgeway Hospital and Faculty of Medicine, Colombo, Sri Lanka
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Weiss A, Zapardiel-Gonzalo J, Voss F, Jolink M, Stock J, Haupt F, Kick K, Welzhofer T, Heublein A, Winkler C, Achenbach P, Ziegler AG, Bonifacio E. Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening. Diabetologia 2022; 65:2121-2131. [PMID: 36028774 PMCID: PMC9630406 DOI: 10.1007/s00125-022-05780-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 07/07/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS The aim of this study was to develop strategies that identify children from the general population who have late-stage presymptomatic type 1 diabetes and may, therefore, benefit from immune intervention. METHODS We tested children from Bavaria, Germany, aged 1.75-10 years, enrolled in the Fr1da public health screening programme for islet autoantibodies (n=154,462). OGTT and HbA1c were assessed in children with multiple islet autoantibodies for diagnosis of presymptomatic stage 1 (normoglycaemia) or stage 2 (dysglycaemia) type 1 diabetes. Cox proportional hazards and penalised logistic regression of autoantibody, genetic, metabolic and demographic information were used to develop a progression likelihood score to identify children with stage 1 type 1 diabetes who progressed to stage 3 (clinical) type 1 diabetes within 2 years. RESULTS Of 447 children with multiple islet autoantibodies, 364 (81.4%) were staged. Undiagnosed stage 3 type 1 diabetes, presymptomatic stage 2, and stage 1 type 1 diabetes were detected in 41 (0.027% of screened children), 30 (0.019%) and 293 (0.19%) children, respectively. The 2 year risk for progression to stage 3 type 1 diabetes was 48% (95% CI 34, 58) in children with stage 2 type 1 diabetes (annualised risk, 28%). HbA1c, islet antigen-2 autoantibody positivity and titre, and the 90 min OGTT value were predictors of progression in children with stage 1 type 1 diabetes. The derived progression likelihood score identified substages corresponding to ≤90th centile (stage 1a, n=258) and >90th centile (stage 1b, n=29; 0.019%) of stage 1 children with a 4.1% (95% CI 1.4, 6.7) and 46% (95% CI 21, 63) 2 year risk of progressing to stage 3 type 1 diabetes, respectively. CONCLUSIONS/INTERPRETATION Public health screening for islet autoantibodies found 0.027% of children to have undiagnosed clinical type 1 diabetes and 0.038% to have undiagnosed presymptomatic stage 2 or stage 1b type 1 diabetes, with 50% risk to develop clinical type 1 diabetes within 2 years.
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Affiliation(s)
- Andreas Weiss
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Jose Zapardiel-Gonzalo
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Franziska Voss
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Manja Jolink
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Joanna Stock
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Florian Haupt
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Kerstin Kick
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Tiziana Welzhofer
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Anja Heublein
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- German Center for Diabetes Research (DZD), Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
- Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany.
| | - Ezio Bonifacio
- German Center for Diabetes Research (DZD), Munich, Germany
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of Helmholtz Centre Munich at University Clinic Carl Gustav Carus of TU Dresden, Faculty of Medicine, Dresden, Germany
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Fukui T, Takehana N, Mori Y, Hiromura M, Terasaki M, Kushima H, Takada M, Tomoyasu M, Sato N, Hayashi T, Ohara M, Kikuchi T, Ito Y, Kobayashi T, Yamagishi SI. Efficacy of a new enzyme-linked immunosorbent assay system for three islet cell autoantibodies in Japanese patients with acute-onset type 1 diabetes. Endocr J 2022; 69:1343-1349. [PMID: 35753761 DOI: 10.1507/endocrj.ej22-0146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
To evaluate the clinical efficacy of a new enzyme-linked immunosorbent assay (ELISA) system for simultaneously detecting three islet cell autoantibodies against glutamic acid decarboxylase (GADA), insulinoma-associated antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A) (3 Screen ICA ELISA) in Japanese patients with acute-onset type 1 diabetes (T1D). In addition, clinical factors affecting the 3 Screen ICA ELISA index were investigated. We compared the positivity values of 3 Screen ICA ELISA with that of each autoantibody alone in 97 patients with acute-onset T1D (mean age 48.7 years, 49% male) and 100 non-diabetic subjects (mean age 47.0 years, 50% male). Serum thyroid stimulating hormone receptor antibody, thyroid peroxidase antibody (TPOAb) and thyroglobulin autoantibody levels were also evaluated. The cut-off value of the 3 Screen ICA ELISA was determined based on the 97th percentile of 100 non-diabetic controls (threshold for positivity, ≥14 index). The mean age of disease onset and duration of diabetes were 34.2 years and 14.5 years, respectively. Among all T1D patients, the positivity of 3 Screen ICA ELISA was 71.1%, while that of GADA, IA-2A, and ZnT8A were 59.8%, 25.8%, and 25.8%, respectively. The median 3 Screen ICA index was 121.9 (8.7-468.2) and was associated with titers of each autoantibody, most so with GADA, and was significantly higher in TPOAb-positive patients than in TPOAb-negative patients. Our findings suggests that the 3 Screen ICA ELISA may be a time-saving diagnostic tool for evaluating islet autoantibodies in acute-onset T1D patients.
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Affiliation(s)
- Tomoyasu Fukui
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Nobuaki Takehana
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Yusaku Mori
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Munenori Hiromura
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Michishige Terasaki
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Hideki Kushima
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Michiya Takada
- Department of Internal Medicine, Showa University Northern Yokohama Hospital, Kanagawa 224-8503, Japan
| | - Masako Tomoyasu
- Department of Internal Medicine, Showa University Northern Yokohama Hospital, Kanagawa 224-8503, Japan
| | - Nobuko Sato
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Toshiyuki Hayashi
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | - Makoto Ohara
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
| | | | | | - Tetsuro Kobayashi
- Division of Immunology and Molecular Medicine, Okinaka Memorial Institute for Medical Research, Tokyo 105-8470, Japan
| | - Sho-Ichi Yamagishi
- Department of Medicine, Division of Diabetes, Metabolism and Endocrinology, Showa University School of Medicine, Tokyo 142-8666, Japan
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12
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Ghalwash M, Dunne JL, Lundgren M, Rewers M, Ziegler AG, Anand V, Toppari J, Veijola R, Hagopian W. Two-age islet-autoantibody screening for childhood type 1 diabetes: a prospective cohort study. Lancet Diabetes Endocrinol 2022; 10:589-596. [PMID: 35803296 PMCID: PMC10040253 DOI: 10.1016/s2213-8587(22)00141-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 01/08/2023]
Abstract
BACKGROUND Early prediction of childhood type 1 diabetes reduces ketoacidosis at diagnosis and provides opportunities for disease prevention. However, only highly efficient approaches are likely to succeed in public health settings. We sought to identify efficient strategies for initial islet autoantibody screening in children younger than 15 years. METHODS We harmonised data from five prospective cohorts from Finland (DIPP), Germany (BABYDIAB), Sweden (DiPiS), and the USA (DAISY and DEW-IT) into the Type 1 Diabetes Intelligence (T1DI) cohort. 24 662 children at high risk of diabetes enrolled before age 2 years were included and followed up for islet autoantibodies and diabetes until age 15 years, or type 1 diabetes onset, whichever occurred first. Islet autoantibodies measured included those against glutamic acid decarboxylase, insulinoma antigen 2, and insulin. Main outcomes were sensitivity and positive predictive value (PPV) of detected islet autoantibodies, tested at one or two fixed ages, for diagnosis of clinical type 1 diabetes. FINDINGS Of the 24 662 participants enrolled in the Type 1 Diabetes Intelligence cohort, 6722 total were followed up to age 15 years or until onset of type 1 diabetes. Type 1 diabetes developed by age 15 years in 672 children, but did not develop in 6050 children. Optimal screening ages for two measurements were 2 years and 6 years, yielding sensitivity of 82% (95% CI 79-86) and PPV of 79% (95% CI 75-80) for diabetes by age 15 years. Autoantibody positivity at the beginning of each test age was highly predictive of diagnosis in the subsequent 2-5·99 year or 6-15-year age intervals. Autoantibodies usually appeared before age 6 years even in children diagnosed with diabetes much later in childhood. INTERPRETATION Our results show that initial screening for islet autoantibodies at two ages (2 years and 6 years) is sensitive and efficient for public health translation but might require adjustment by country on the basis of population-specific disease characteristics. FUNDING Juvenile Diabetes Research Foundation.
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Affiliation(s)
- Mohamed Ghalwash
- Center for Computational Health, IBM Research, Yorktown Heights, NY, USA; Faculty of Science, Ain Shams University, Cairo, Egypt
| | | | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado, Denver, CO, USA
| | - Anette-G Ziegler
- Forschegruppe Diabetes and Institute of Diabetes Research, Helmholtz Zentrum München, German Research Centre for Environmental Health, Munich-Neuherberg, Germany der TU München, Munich, Germany
| | - Vibha Anand
- Center for Computational Health, IBM Research, Yorktown Heights, NY, USA
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland; Department of Paediatrics, Turku University Hospital, Turku, Finland
| | - Riitta Veijola
- Department of Paediatrics, PEDEGO Research Unit, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - William Hagopian
- Pacific Northwest Research Institute, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA.
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Törn C, Vaziri-Sani F, Ramelius A, Elding Larsson H, Ivarsson SA, Amoroso M, Furmaniak J, Powell M, Smith BR. Evaluation of the RSR 3 screen ICA™ and 2 screen ICA™ as screening assays for type 1 diabetes in Sweden. Acta Diabetol 2022; 59:773-781. [PMID: 35220476 PMCID: PMC9085662 DOI: 10.1007/s00592-022-01856-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 01/20/2022] [Indexed: 11/28/2022]
Abstract
AIM The study aim was to evaluate the RSR 3 Screen ICA™ and 2 Screen ICA™ for detection of islet cell autoimmunity in healthy Swedish subjects and patients with newly diagnosed type 1 diabetes (T1D). METHODS 3 Screen is designed for combined detection of autoantibodies to glutamic acid decarboxylase (GADA), to the islet antigen IA-2 (IA-2A) and to zinc transporter 8 (ZnT8A), while 2 Screen detects GADA and IA-2A. Serum samples from 100 T1D patients at onset and 200 healthy controls were studied. RESULTS 3 Screen achieved 93% assay sensitivity and 97.5% specificity, while 2 Screen achieved 91% assay sensitivity and 98.5% specificity. Samples were also tested in assays for individual autoantibodies. There was only one 3 Screen positive healthy control sample (0.5%) that was positive for multiple autoantibodies (IA-2A and ZnT8A). In contrast, most of the 93 3 Screen positive patients were positive for multiple autoantibodies with 72% (67/93) positive for both GADA and IA-2A and 57% (53/93) positive for three autoantibodies (GADA, IA-2A and ZnT8A). Insulin autoantibodies (IAA, measured by radioimmunoassay) were positive in 13 patients and two healthy controls. CONCLUSION 3 Screen achieved high sensitivity and specificity, suitable for islet cell autoimmunity screening in a healthy population. In the case of 3 Screen positivity, further assays for GADA, IA-2A and ZnT8A are required to check for multiple autoantibody positivity, a hallmark for progression to T1D. In addition, testing for IAA in children below two years of age is warranted.
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Affiliation(s)
- Carina Törn
- Department of Clinical Sciences, Lund University, Malmö, Sweden.
- Unit for Diabetes and Celiac Disease, Wallenberg Laboratory/CRC, Inga Marie Nilssons gata 53, 205 02, Malmö, Sweden.
| | | | - Anita Ramelius
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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Kibirige D, Sekitoleko I, Balungi P, Kyosiimire-Lugemwa J, Lumu W, Jones AG, Hattersley AT, Smeeth L, Nyirenda MJ. Islet autoantibody positivity in an adult population with recently diagnosed diabetes in Uganda. PLoS One 2022; 17:e0268783. [PMID: 35604955 PMCID: PMC9126391 DOI: 10.1371/journal.pone.0268783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 05/07/2022] [Indexed: 12/02/2022] Open
Abstract
Aims This study aimed to investigate the frequency of islet autoantibody positivity in adult patients with recently diagnosed diabetes in Uganda and its associated characteristics. Methods Autoantibodies to glutamic acid decarboxylase-65 (GADA), zinc transporter 8 (ZnT8-A), and tyrosine phosphatase (IA-2A) were measured in 534 adult patients with recently diagnosed diabetes. Islet autoantibody positivity was defined based on diagnostic thresholds derived from a local adult population without diabetes. The socio-demographic, clinical, and metabolic characteristics of islet autoantibody-positive and negative participants were then compared. The differences in these characteristics were analysed using the x2 test for categorical data and the Kruskal Wallis test for continuous data. Multivariate analysis was performed to identify predictors of islet autoantibody positivity. Results Thirty four (6.4%) participants were positive for ≥1 islet autoantibody. GADA, IA-2A and ZnT8-A positivity was detected in 17 (3.2%), 10 (1.9%), and 7 (1.3%) participants, respectively. Compared with those negative for islet autoantibodies, participants positive for islet autoantibodies were more likely to live in a rural area (n = 18, 52.9% Vs n = 127, 25.5%, p = 0.005), to be initiated on insulin therapy (n = 19, 55.9% Vs n = 134, 26.8%, p<0.001), to have a lower median waist circumference (90 [80–99] cm Vs 96 [87–104.8], p = 0.04), waist circumference: height ratio (0.55 [0.50–0.63] vs 0.59 [0.53–0.65], p = 0.03), and fasting C-peptide concentration (0.9 [0.6–1.8] Vs 1.4 [0.8–2.1] ng/ml, p = 0.01). On multivariate analysis, living in a rural area (odds ratio or OR 3.62, 95%CI 1.68–7.80, p = 0.001) and being initiated on insulin therapy (OR 3.61, 95% CI 1.67–7.83, p = 0.001) were associated with islet autoantibody positivity. Conclusion The prevalence of islet autoantibody positivity was relatively low, suggesting that pancreatic autoimmunity is a rare cause of new-onset diabetes in this adult Ugandan population. Living in a rural area and being initiated on insulin therapy were independently associated with islet autoantibody positivity in this study population.
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Affiliation(s)
- Davis Kibirige
- Non-Communicable Diseases Program, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- Department of Non-Communicable Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- * E-mail:
| | - Isaac Sekitoleko
- Non-Communicable Diseases Program, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Priscilla Balungi
- Non-Communicable Diseases Program, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- Clinical Diagnostics Laboratory Services, Medical Research Council/Uganda Virus Research Institute, and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - Jacqueline Kyosiimire-Lugemwa
- Clinical Diagnostics Laboratory Services, Medical Research Council/Uganda Virus Research Institute, and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
| | - William Lumu
- Department of Medicine, Mengo Hospital, Kampala, Uganda
| | - Angus G. Jones
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter, United Kingdom
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Andrew T. Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Barrack Road, Exeter, United Kingdom
- Department of Diabetes and Endocrinology, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Liam Smeeth
- Department of Non-Communicable Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Moffat J. Nyirenda
- Non-Communicable Diseases Program, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda
- Department of Non-Communicable Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Karl FM, Winkler C, Ziegler AG, Laxy M, Achenbach P. Costs of Public Health Screening of Children for Presymptomatic Type 1 Diabetes in Bavaria, Germany. Diabetes Care 2022; 45:837-844. [PMID: 35156126 DOI: 10.2337/dc21-1648] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 01/09/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We sought to evaluate costs associated with public health screening for presymptomatic type 1 diabetes in 90,632 children as part of the Fr1da study in Bavaria and in forecasts for standard care. RESEARCH DESIGN AND METHODS We report on resource use and direct costs for screening-related procedures in the Fr1da study coordination center and laboratory and in participating pediatric practices and local diabetes clinics. Data were obtained from Fr1da study documents, an online survey among pediatricians, and interviews and records of Fr1da staff members. Data were analyzed with tree models that mimic procedures during the screening process. Cost estimates are presented as they were observed in the Fr1da study and as they can be expected in standard care for various scenarios. RESULTS The costs per child screened in the Fr1da study were €28.17 (95% CI 19.96; 39.63) and the costs per child diagnosed with presymptomatic type 1 diabetes were €9,117 (6,460; 12,827). Assuming a prevalence of presymptomatic type 1 diabetes of 0.31%, as in the Fr1da study, the estimated costs in standard care in Germany would be €21.73 (16.76; 28.19) per screened child and €7,035 (5,426; 9,124) per diagnosed child. Of the projected screening costs, €12.25 would be the costs in the medical practice, €9.34 for coordination and laboratory, and €0.14 for local diabetes clinics. CONCLUSIONS This study provides information for the planning and implementation of screening tests for presymptomatic type 1 diabetes in the general public and for the analysis of the cost-effectiveness of targeted prevention strategies.
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Affiliation(s)
- Florian M Karl
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Garching, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Christiane Winkler
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Diabetes Research, Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Anette-Gabriele Ziegler
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Diabetes Research, Helmholtz Zentrum München, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany
| | - Michael Laxy
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Garching, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Faculty of Sport and Health Science, Technical University of Munich, Munich, Germany.,Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Peter Achenbach
- German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Diabetes Research, Helmholtz Zentrum München, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany
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16
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de Jesus Cortez F, Lind A, Ramelius A, Bennet R, Robinson PV, Seftel D, Gebhart D, Tandel D, Maziarz M, Agardh D, Larsson HE, Lundgren M, Lernmark Å, Tsai CT. Multiplex agglutination-PCR (ADAP) autoantibody assays compared to radiobinding autoantibodies in type 1 diabetes and celiac disease. J Immunol Methods 2022; 506:113265. [DOI: 10.1016/j.jim.2022.113265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 10/18/2022]
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17
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Wang Z, Guo L, Chen S, Guan J, Powell M, Furmaniak J, Rees Smith B, Chen L. Characteristic phenotype of Chinese patients with adult-onset diabetes who are autoantibody positive by 3-Screen ICA™ ELISA. Acta Diabetol 2022; 59:189-196. [PMID: 34533636 PMCID: PMC8841311 DOI: 10.1007/s00592-021-01778-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 07/27/2021] [Indexed: 02/07/2023]
Abstract
AIMS To assess the prevalence of diabetes-associated autoantibodies in Chinese patients recently diagnosed with adult-onset diabetes and to evaluate the potential role of the autoantibody markers for characterization of disease phenotype in the patient population. METHODS The study included 1273 recent-onset adult patients with phenotypic type 2 diabetes mellitus (T2DM). Serum samples were tested using the 3-Screen ICA™ ELISA (3-Screen) designed for combined measurement of GADAb and/or IA-2Ab and/or ZnT8Ab. 3-Screen positive samples were then tested for individual diabetes-associated and other organ-specific autoantibodies. Clinical characteristics of patients positive and negative in 3-Screen were analysed. RESULTS Forty-four (3.5%) of the T2DM patients were positive in 3-Screen, and 38 (86%) of these were also positive for at least one of GADAb, IA-2Ab and ZnT8Ab in assays for the individual autoantibodies. 3-Screen positive patients had lower BMI, higher HbA1c, lower fasting insulin levels and lower fasting C-peptide levels compared to 3-Screen negative patients. Analysis using a homeostatic model assessment (HOMA2) indicated that HOMA2-β-cell function was significantly lower for the forty-four 3-Screen positive patients compared to 3-Screen negative patients. Twenty (45%) 3-Screen positive patients were also positive for at least one thyroid autoantibody. CONCLUSIONS The 3-Screen ELISA has been used successfully for the first time in China to detect diabetes autoantibodies in patients with phenotypic T2DM. 3-Screen positive patients presented with poorer β cell function.
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Affiliation(s)
- Zhida Wang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Liang Guo
- FIRS Laboratories, RSR Ltd Parc Ty Glas, Llanishen, Cardiff, CF14 5DU, UK
| | - Shu Chen
- FIRS Laboratories, RSR Ltd Parc Ty Glas, Llanishen, Cardiff, CF14 5DU, UK
- RSR Tianjin Biotech Ltd, Haitai Green Area, Hi Huayuan Industrial Park, Tianjin, 300384, China
| | - Jun Guan
- RSR Tianjin Biotech Ltd, Haitai Green Area, Hi Huayuan Industrial Park, Tianjin, 300384, China
| | - Michael Powell
- FIRS Laboratories, RSR Ltd Parc Ty Glas, Llanishen, Cardiff, CF14 5DU, UK
| | - Jadwiga Furmaniak
- FIRS Laboratories, RSR Ltd Parc Ty Glas, Llanishen, Cardiff, CF14 5DU, UK
| | - Bernard Rees Smith
- FIRS Laboratories, RSR Ltd Parc Ty Glas, Llanishen, Cardiff, CF14 5DU, UK
- RSR Tianjin Biotech Ltd, Haitai Green Area, Hi Huayuan Industrial Park, Tianjin, 300384, China
| | - Liming Chen
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
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18
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Fu Y, Zhang C, Gu Y, Ge S, Li J, Feng J, Zhang L, Liu W, Chen H. Establishing reference intervals for islet autoantibodies in Han Chinese type 1 diabetes. Scandinavian Journal of Clinical and Laboratory Investigation 2021; 81:641-648. [PMID: 34779329 DOI: 10.1080/00365513.2021.2001564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Currently, islet autoantibodies (IAbs) constitute the most reliable marker for detecting the autoimmune process of type 1 diabetes (T1D). However, there are no appropriate reference intervals (RIs) to interpret the results of IAbs in China. In this study, we aimed to establish the RIs of four common IAbs based on the Han Chinese population and evaluate their clinical diagnostic values in patients with T1D. We collected 177 blood samples from healthy volunteers to detect the levels of IAbs directed against insulin (IAA), glutamic acid decarboxylase-65 (GADA), insulinoma antigen 2 (IA-2A), and zinc transporter-8 (ZnT8A) using a chemiluminescence immunoassay. RIs were calculated using nonparametric 95th percentile intervals in accordance with the Clinical and Laboratory Standards Institute guidelines, and their clinical diagnostic values were evaluated by detecting the levels of IAbs of 140 blood samples from patients with T1D in a clinical setting. We defined 138 individuals as the apparently healthy population from the 177 healthy volunteers based on the exclusion criteria. No association between the levels of the four IAbs and gender (p > .05) and age (p > .05) were found in the apparently healthy population. The combined RIs for GADA, IA-2A, ZnT8A, and IAA were 0-1.78 IU/mL, 0-3.91 IU/mL, 0-2.36 AU/mL, and 0-0.58 COI, respectively. Overall, the diagnostic efficiency for the four IAbs, especially for GADA and IAA, were improved by using the RIs established in this study. The RIs for IAbs established in this study will be a valuable tool for disease diagnosis and the therapeutic management of T1D in a clinical setting.
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Affiliation(s)
- Yu Fu
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Chen Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Yong Gu
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Shibin Ge
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jianhua Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Jianlin Feng
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Li Zhang
- Operating Room of Outpatient Family Planning, Nanjing Maternal and Child Health Care Hospital, Nanjing, People's Republic of China
| | - Wei Liu
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
| | - Heng Chen
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
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19
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So M, Speake C, Steck AK, Lundgren M, Colman PG, Palmer JP, Herold KC, Greenbaum CJ. Advances in Type 1 Diabetes Prediction Using Islet Autoantibodies: Beyond a Simple Count. Endocr Rev 2021; 42:584-604. [PMID: 33881515 DOI: 10.1210/endrev/bnab013] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Indexed: 02/06/2023]
Abstract
Islet autoantibodies are key markers for the diagnosis of type 1 diabetes. Since their discovery, they have also been recognized for their potential to identify at-risk individuals prior to symptoms. To date, risk prediction using autoantibodies has been based on autoantibody number; it has been robustly shown that nearly all multiple-autoantibody-positive individuals will progress to clinical disease. However, longitudinal studies have demonstrated that the rate of progression among multiple-autoantibody-positive individuals is highly heterogenous. Accurate prediction of the most rapidly progressing individuals is crucial for efficient and informative clinical trials and for identification of candidates most likely to benefit from disease modification. This is increasingly relevant with the recent success in delaying clinical disease in presymptomatic subjects using immunotherapy, and as the field moves toward population-based screening. There have been many studies investigating islet autoantibody characteristics for their predictive potential, beyond a simple categorical count. Predictive features that have emerged include molecular specifics, such as epitope targets and affinity; longitudinal patterns, such as changes in titer and autoantibody reversion; and sequence-dependent risk profiles specific to the autoantibody and the subject's age. These insights are the outworking of decades of prospective cohort studies and international assay standardization efforts and will contribute to the granularity needed for more sensitive and specific preclinical staging. The aim of this review is to identify the dynamic and nuanced manifestations of autoantibodies in type 1 diabetes, and to highlight how these autoantibody features have the potential to improve study design of trials aiming to predict and prevent disease.
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Affiliation(s)
- Michelle So
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
| | - Cate Speake
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University, Malmö 22200, Sweden
| | - Peter G Colman
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria 3050, Australia
| | - Jerry P Palmer
- VA Puget Sound Health Care System, Department of Medicine, University of Washington, Seattle, WA 98108, USA
| | - Kevan C Herold
- Department of Immunobiology, and Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Carla J Greenbaum
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
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20
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Cortez FDJ, Gebhart D, Robinson PV, Seftel D, Pourmandi N, Owyoung J, Bertozzi CR, Wilson DM, Maahs DM, Buckingham BA, Mills JR, Roforth MM, Pittock SJ, McKeon A, Page K, Wolf WA, Sanda S, Speake C, Greenbaum CJ, Tsai CT. Sensitive detection of multiple islet autoantibodies in type 1 diabetes using small sample volumes by agglutination-PCR. PLoS One 2020; 15:e0242049. [PMID: 33186361 PMCID: PMC7665791 DOI: 10.1371/journal.pone.0242049] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 10/21/2020] [Indexed: 02/07/2023] Open
Abstract
Islet autoantibodies are predominantly measured by radioassay to facilitate risk assessment and diagnosis of type 1 diabetes. However, the reliance on radioactive components, large sample volumes and limited throughput renders radioassay testing costly and challenging. We developed a multiplex analysis platform based on antibody detection by agglutination-PCR (ADAP) for the sample-sparing measurement of GAD, IA-2 and insulin autoantibodies/antibodies in 1 μL serum. The assay was developed and validated in 7 distinct cohorts (n = 858) with the majority of the cohorts blinded prior to analysis. Measurements from the ADAP assay were compared to radioassay to determine correlation, concordance, agreement, clinical sensitivity and specificity. The average overall agreement between ADAP and radioassay was above 91%. The average clinical sensitivity and specificity were 96% and 97%. In the IASP 2018 workshop, ADAP achieved the highest sensitivity of all assays tested at 95% specificity (AS95) rating for GAD and IA-2 autoantibodies and top-tier performance for insulin autoantibodies. Furthermore, ADAP correctly identified 95% high-risk individuals with two or more autoantibodies by radioassay amongst 39 relatives of T1D patients tested. In conclusion, the new ADAP assay can reliably detect the three cardinal islet autoantibodies/antibodies in 1μL serum with high sensitivity. This novel assay may improve pediatric testing compliance and facilitate easier community-wide screening for islet autoantibodies.
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Affiliation(s)
| | - David Gebhart
- Enable Biosciences Inc., South San Francisco, CA, United States of America
| | - Peter V. Robinson
- Enable Biosciences Inc., South San Francisco, CA, United States of America
| | - David Seftel
- Enable Biosciences Inc., South San Francisco, CA, United States of America
| | - Narges Pourmandi
- Enable Biosciences Inc., South San Francisco, CA, United States of America
| | - Jordan Owyoung
- Enable Biosciences Inc., South San Francisco, CA, United States of America
| | - Carolyn R. Bertozzi
- Department of Chemistry, Stanford University, Stanford, CA, United States of America
- Stanford Diabetes Research Center, Stanford, CA, United States of America
| | - Darrell M. Wilson
- Stanford Diabetes Research Center, Stanford, CA, United States of America
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America
| | - David M. Maahs
- Stanford Diabetes Research Center, Stanford, CA, United States of America
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Bruce A. Buckingham
- Stanford Diabetes Research Center, Stanford, CA, United States of America
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States of America
| | - John R. Mills
- Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
- Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
| | - Matthew M. Roforth
- Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
- Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
| | - Sean J. Pittock
- Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
- Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
| | - Andrew McKeon
- Department of Laboratory Medicine/Pathology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
- Department of Neurology, Mayo Clinic, College of Medicine, Rochester, MN, United States of America
| | - Kara Page
- T1D Exchange, Boston, MA, United States of America
| | | | - Srinath Sanda
- Diabetes Center, University of California, San Francisco, San Francisco, CA, United States of America
| | - Cate Speake
- Diabetes Clinical Research Program, Benaroya Research Institute, Seattle, WA, United States of America
| | - Carla J. Greenbaum
- Diabetes Clinical Research Program, Benaroya Research Institute, Seattle, WA, United States of America
| | - Cheng-ting Tsai
- Enable Biosciences Inc., South San Francisco, CA, United States of America
- * E-mail:
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21
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Hollstein T, Schulte DM, Schulz J, Glück A, Ziegler AG, Bonifacio E, Wendorff M, Franke A, Schreiber S, Bornstein SR, Laudes M. Autoantibody-negative insulin-dependent diabetes mellitus after SARS-CoV-2 infection: a case report. Nat Metab 2020; 2:1021-1024. [PMID: 32879473 DOI: 10.1038/s42255-020-00281-8] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 08/18/2020] [Indexed: 01/08/2023]
Abstract
Here we report a case where the manifestations of insulin-dependent diabetes occurred following SARS-CoV-2 infection in a young individual in the absence of autoantibodies typical for type 1 diabetes mellitus. Specifically, a 19-year-old white male presented at our emergency department with diabetic ketoacidosis, C-peptide level of 0.62 µg l-1, blood glucose concentration of 30.6 mmol l-1 (552 mg dl-1) and haemoglobin A1c of 16.8%. The patient´s case history revealed probable COVID-19 infection 5-7 weeks before admission, based on a positive test for antibodies against SARS-CoV-2 proteins as determined by enzyme-linked immunosorbent assay. Interestingly, the patient carried a human leukocyte antigen genotype (HLA DR1-DR3-DQ2) considered to provide only a slightly elevated risk of developing autoimmune type 1 diabetes mellitus. However, as noted, no serum autoantibodies were observed against islet cells, glutamic acid decarboxylase, tyrosine phosphatase, insulin and zinc-transporter 8. Although our report cannot fully establish causality between COVID-19 and the development of diabetes in this patient, considering that SARS-CoV-2 entry receptors, including angiotensin-converting enzyme 2, are expressed on pancreatic β-cells and, given the circumstances of this case, we suggest that SARS-CoV-2 infection, or COVID-19, might negatively affect pancreatic function, perhaps through direct cytolytic effects of the virus on β-cells.
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Affiliation(s)
- Tim Hollstein
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
| | - Dominik M Schulte
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
| | - Juliane Schulz
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
| | - Andreas Glück
- Division of Critical Care, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
| | - Anette G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden and Paul Langerhans Institute Dresden, German Center for Diabetes Research, Dresden University of Technology, Dresden, Germany
| | - Mareike Wendorff
- Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel, Kiel, Germany
| | - Stefan Schreiber
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
- Division of Critical Care, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel, Kiel, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK
| | - Matthias Laudes
- Division of Endocrinology, Diabetes and Clinical Nutrition, Department of Internal Medicine I, University Medical Centre Schleswig-Holstein, Kiel, Germany.
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22
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Ziegler AG, Kick K, Bonifacio E, Haupt F, Hippich M, Dunstheimer D, Lang M, Laub O, Warncke K, Lange K, Assfalg R, Jolink M, Winkler C, Achenbach P. Yield of a Public Health Screening of Children for Islet Autoantibodies in Bavaria, Germany. JAMA 2020; 323:339-351. [PMID: 31990315 PMCID: PMC6990943 DOI: 10.1001/jama.2019.21565] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
IMPORTANCE Public health screening for type 1 diabetes in its presymptomatic stages may reduce disease severity and burden on a population level. OBJECTIVE To determine the prevalence of presymptomatic type 1 diabetes in children participating in a public health screening program for islet autoantibodies and the risk for progression to clinical diabetes. DESIGN, SETTING, AND PARTICIPANTS Screening for islet autoantibodies was offered to children aged 1.75 to 5.99 years in Bavaria, Germany, between 2015 and 2019 by primary care pediatricians during well-baby visits. Families of children with multiple islet autoantibodies (presymptomatic type 1 diabetes) were invited to participate in a program of diabetes education, metabolic staging, assessment of psychological stress associated with diagnosis, and prospective follow-up for progression to clinical diabetes until July 31, 2019. EXPOSURES Measurement of islet autoantibodies. MAIN OUTCOMES AND MEASURES The primary outcome was presymptomatic type 1 diabetes, defined by 2 or more islet autoantibodies, with categorization into stages 1 (normoglycemia), 2 (dysglycemia), or 3 (clinical) type 1 diabetes. Secondary outcomes were the frequency of diabetic ketoacidosis and parental psychological stress, assessed by the Patient Health Questionnaire-9 (range, 0-27; higher scores indicate worse depression; ≤4 indicates no to minimal depression; >20 indicates severe depression). RESULTS Of 90 632 children screened (median [interquartile range {IQR}] age, 3.1 [2.1-4.2] years; 48.5% girls), 280 (0.31%; 95% CI, 0.27-0.35) had presymptomatic type 1 diabetes, including 196 (0.22%) with stage 1, 17 (0.02%) with stage 2, 26 (0.03%) with stage 3, and 41 who were not staged. After a median (IQR) follow-up of 2.4 (1.0-3.2) years, another 36 children developed stage 3 type 1 diabetes. The 3-year cumulative risk for stage 3 type 1 diabetes in the 280 children with presymptomatic type 1 diabetes was 24.9% ([95% CI, 18.5%-30.7%]; 54 cases; annualized rate, 9.0%). Two children had diabetic ketoacidosis. Median (IQR) psychological stress scores were significantly increased at the time of metabolic staging in mothers of children with presymptomatic type 1 diabetes (3 [1-7]) compared with mothers of children without islet autoantibodies (2 [1-4]) (P = .002), but declined after 12 months of follow-up (2 [0-4]) (P < .001). CONCLUSIONS AND RELEVANCE Among children aged 2 to 5 years in Bavaria, Germany, a program of primary care-based screening showed an islet autoantibody prevalence of 0.31%. These findings may inform considerations of population-based screening of children for islet autoantibodies.
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Affiliation(s)
- Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Kerstin Kick
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Ezio Bonifacio
- DFG Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, Helmholtz Center Munich, Faculty of Medicine, University Hospital Carl Gustav Carus, TU Dresden, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Florian Haupt
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Markus Hippich
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | | | - Martin Lang
- Berufsverband der Kinder- und Jugendärzte e.V., Landesverband Bayern, Augsburg, Germany
| | - Otto Laub
- PaedNetz Bayern e.V., Rosenheim, Germany
| | - Katharina Warncke
- Department of Pediatrics, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Karin Lange
- Department of Medical Psychology, Hannover Medical School, Hannover, Germany
| | - Robin Assfalg
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Manja Jolink
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
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23
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Bonifacio E, Achenbach P. Birth and coming of age of islet autoantibodies. Clin Exp Immunol 2019; 198:294-305. [PMID: 31397889 PMCID: PMC6857083 DOI: 10.1111/cei.13360] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2019] [Indexed: 12/20/2022] Open
Abstract
This review takes the reader through 45 years of islet autoantibody research, from the discovery of islet‐cell antibodies in 1974 to today’s population‐based screening for presymptomatic early‐stage type 1 diabetes. The review emphasizes the current practical value of, and factors to be considered in, the measurement of islet autoantibodies.
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Affiliation(s)
- E Bonifacio
- Technische Universität Dresden, DFG Center for Regenerative Therapies Dresden, Dresden, Germany.,Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - P Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.,Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Forschergruppe Diabetes, Munich, Germany
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Feasibility and organization of a population-based screening for pre-symptomatic type 1 diabetes in children — evaluation of the Fr1da study. J Public Health (Oxf) 2018. [DOI: 10.1007/s10389-018-0981-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
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Ma X, Fang C, Yan J, Zhao Q, Tu Y. A label-free electrochemiluminescent immunosensor for glutamate decarboxylase antibody detection on AuNPs supporting interface. Talanta 2018; 186:206-214. [DOI: 10.1016/j.talanta.2018.04.052] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 04/13/2018] [Accepted: 04/16/2018] [Indexed: 10/17/2022]
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