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Haisa A, Oikawa Y, Satomura A, Suzuki S, Nakanishi S, Fujisawa M, Morita H, Katsuki T, Shimada A. High glutamic acid decarboxylase antibody titers may be associated with a decline in β-cell function over time and future insulin deficiency in latent autoimmune diabetes in adults. Diabetes Res Clin Pract 2024; 215:111799. [PMID: 39084295 DOI: 10.1016/j.diabres.2024.111799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/29/2024] [Accepted: 07/29/2024] [Indexed: 08/02/2024]
Abstract
AIMS Latent autoimmune diabetes in adults (LADA) is characterized by positive islet-associated autoantibodies including glutamic acid decarboxylase antibody (GADA), and gradual decline in insulin secretion, progressing to insulin dependency. This cross-sectional study aimed to determine whether GADA by enzyme-linked immunosorbent assay (GADA-ELISA) titer of ≥180 U/mL could be associated with decline in β-cell function in participants with LADA. METHODS Sixty-three participants with LADA were recruited and an association between insulin secretion capacity and disease duration was investigated. Insulin peptide-specific inflammatory immunoreactivity was investigated to determine the disease's activity. RESULTS There was a significant inverse correlation between disease duration and C-peptide index in participants with GADA-ELISA titer of ≥180 U/mL (Spearman's r (rs) = -0.516, p < 0.01). The positivity rate of insulin peptide-specific inflammatory immunoreactivity was significantly higher in those with ≥180 U/mL than in those with <180 U/mL (p < 0.05). In participants with human leukocyte antigen (HLA)-DRB1*04:05, a significant inverse correlation was observed between disease duration and C-peptide index in those with ≥180 U/mL (rs = -0.751, p < 0.01). CONCLUSIONS GADA-ELISA titer of ≥180 U/mL, especially with HLA-DRB1*04:05, might reflect higher disease activity and may be associated with decline in β-cell function over time and future insulin dependency in LADA.
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Affiliation(s)
- Akifumi Haisa
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Yoichi Oikawa
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan.
| | - Atsushi Satomura
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Seiya Suzuki
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Shumpei Nakanishi
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Masashi Fujisawa
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Hideo Morita
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
| | - Takeshi Katsuki
- Department of Internal Medicine, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan
| | - Akira Shimada
- Department of Endocrinology and Diabetes, School of Medicine, Saitama Medical University, Saitama 350-0495, Japan
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Kawasaki E, Awata T, Ikegami H, Imagawa A, Oikawa Y, Osawa H, Katsuki T, Kanatsuna N, Kawamura R, Kozawa J, Kodani N, Kobayashi T, Shimada A, Shimoda M, Takahashi K, Chujo D, Tsujimoto T, Tsuchiya K, Terakawa A, Terasaki J, Nagasawa K, Noso S, Fukui T, Horie I, Yasuda K, Yasuda H, Yanai H, Hanafusa T, Kajio H. Prediction of future insulin-deficiency in glutamic acid decarboxylase autoantibody enzyme-linked immunosorbent assay-positive patients with slowly-progressive type 1 diabetes. J Diabetes Investig 2024; 15:835-842. [PMID: 38451108 PMCID: PMC11215668 DOI: 10.1111/jdi.14178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 02/18/2024] [Accepted: 02/22/2024] [Indexed: 03/08/2024] Open
Abstract
AIMS/INTRODUCTION This study aimed to identify risk factors that contribute to the progression of slowly-progressive type 1 diabetes by evaluating the positive predictive value (PPV) of factors associated with the progression to an insulin-dependent state. MATERIALS AND METHODS We selected 60 slowly-progressive type 1 diabetes patients who tested positive for glutamic acid decarboxylase autoantibodies (GADA) at diagnosis from the Japanese Type 1 Diabetes Database Study. GADA levels in these patients were concurrently measured using both radioimmunoassay (RIA) and enzyme-linked immunosorbent assay (ELISA) techniques. RESULTS Compared with the non-progressor group (fasting C-peptide [F-CPR] levels maintained ≥0.6 ng/mL), the progressor group showed a younger age at diagnosis, lower body mass index (BMI), lower F-CPR levels and a higher prevalence of insulinoma-associated antigen-2 autoantibodies (IA-2A). The PPV of RIA-GADA increased from 56.3 to 70.0% in the high titer group (≥10 U/mL), and further increased to 76.9, 84.2, 81.0 and 75.0% when combined with specific thresholds for age at diagnosis <47 years, BMI <22.6 kg/m2, F-CPR <1.41 ng/mL and IA-2A positivity, respectively. In contrast, the PPV of ELISA-GADA (71.8%) remained the same at 73.1% in the high titer group (≥180 U/mL), but increased to 81.8, 82.4 and 79.0% when evaluated in conjunction with age at diagnosis, BMI and F-CPR level, respectively. CONCLUSIONS Our findings show that, unlike RIA-GADA, ELISA-GADA shows no association between GADA titers and the risk of progression to an insulin-dependent state. The PPV improves when age at diagnosis, BMI and F-CPR levels are considered in combination.
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Affiliation(s)
| | - Takuya Awata
- Pancreatic Islet Cell Transplantation CenterNational Center for Global Health and MedicineTokyoJapan
| | - Hiroshi Ikegami
- Department of Endocrinology, Metabolism and DiabetesKindai University Faculty of MedicineOsakaJapan
| | - Akihisa Imagawa
- Department of Internal Medicine (I)Osaka Medical and Pharmaceutical UniversityTakatsukiJapan
| | - Yoichi Oikawa
- Department of Endocrinology and Diabetes, School of MedicineSaitama Medical UniversityIrumaJapan
| | - Haruhiko Osawa
- Department of Diabetes and Molecular GeneticsEhime University Graduate School of MedicineToonJapan
| | - Takeshi Katsuki
- Department of Diabetes and EndocrinologyTokyo Saiseikai Central HospitalTokyoJapan
| | - Norio Kanatsuna
- Department of Internal Medicine (I)Osaka Medical and Pharmaceutical UniversityTakatsukiJapan
| | - Ryoichi Kawamura
- Department of Diabetes and Molecular GeneticsEhime University Graduate School of MedicineToonJapan
| | - Junji Kozawa
- Department of Metabolic Medicine, Graduate School of MedicineOsaka UniversitySuitaJapan
| | - Noriko Kodani
- Department of Diabetes, Endocrinology, and MetabolismCenter Hospital of the National Center for Global Health and MedicineTokyoJapan
| | | | - Akira Shimada
- Department of Endocrinology and Diabetes, School of MedicineSaitama Medical UniversityIrumaJapan
| | - Masayuki Shimoda
- Pancreatic Islet Cell Transplantation CenterNational Center for Global Health and MedicineTokyoJapan
| | | | - Daisuke Chujo
- Center for Clinical ResearchToyama University HospitalToyamaJapan
| | - Tetsuro Tsujimoto
- Department of Diabetes and EndocrinologyToranomon Hospital KajigayaKawasakiJapan
| | - Kyoichiro Tsuchiya
- Department of Diabetes and EndocrinologyUniversity of Yamanashi HospitalYamanashiJapan
| | - Aiko Terakawa
- Department of Diabetes, Endocrinology, and MetabolismCenter Hospital of the National Center for Global Health and MedicineTokyoJapan
| | - Jungo Terasaki
- Department of Internal Medicine (I)Osaka Medical and Pharmaceutical UniversityTakatsukiJapan
| | - Kan Nagasawa
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal MedicineIwate Medical UniversityYahabaJapan
| | - Shinsuke Noso
- Department of Endocrinology, Metabolism and DiabetesKindai University Faculty of MedicineOsakaJapan
| | - Tomoyasu Fukui
- Division of Diabetes and EndocrinologyShowa University School of MedicineTokyoJapan
| | - Ichiro Horie
- Department of Endocrinology and MetabolismNagasaki University HospitalNagasakiJapan
| | - Kazuki Yasuda
- Department of Diabetes, Endocrinology, and MetabolismKyorin UniversityMitakaJapan
| | - Hisafumi Yasuda
- Division of Health Sciences, Department of Public HealthKobe University Graduate School of Health SciencesKobeJapan
| | - Hidekatsu Yanai
- Department of Endocrinology and Metabolism, Kohnodai HospitalNational Center for Global Health and MedicineIchikawaJapan
| | | | - Hiroshi Kajio
- Department of Diabetes, Endocrinology, and MetabolismCenter Hospital of the National Center for Global Health and MedicineTokyoJapan
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Herold KC, Delong T, Perdigoto AL, Biru N, Brusko TM, Walker LSK. The immunology of type 1 diabetes. Nat Rev Immunol 2024; 24:435-451. [PMID: 38308004 PMCID: PMC7616056 DOI: 10.1038/s41577-023-00985-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2023] [Indexed: 02/04/2024]
Abstract
Following the seminal discovery of insulin a century ago, treatment of individuals with type 1 diabetes (T1D) has been largely restricted to efforts to monitor and treat metabolic glucose dysregulation. The recent regulatory approval of the first immunotherapy that targets T cells as a means to delay the autoimmune destruction of pancreatic β-cells highlights the critical role of the immune system in disease pathogenesis and tends to pave the way for other immune-targeted interventions for T1D. Improving the efficacy of such interventions across the natural history of the disease will probably require a more detailed understanding of the immunobiology of T1D, as well as technologies to monitor residual β-cell mass and function. Here we provide an overview of the immune mechanisms that underpin the pathogenesis of T1D, with a particular emphasis on T cells.
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Affiliation(s)
- Kevan C Herold
- Department of Immunobiology, Yale University, New Haven, CT, USA.
- Department of Internal Medicine, Yale University, New Haven, CT, USA.
| | - Thomas Delong
- Anschutz Medical Campus, University of Colorado, Denver, CO, USA
| | - Ana Luisa Perdigoto
- Department of Internal Medicine, Yale University, New Haven, CT, USA
- Internal Medicine, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Noah Biru
- Department of Immunobiology, Yale University, New Haven, CT, USA
| | - Todd M Brusko
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Lucy S K Walker
- Institute of Immunity & Transplantation, University College London, London, UK.
- Division of Infection & Immunity, University College London, London, UK.
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4
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Wyatt RC, Grace SL, Brigatti C, Marzinotto I, Gillard BT, Shoemark DK, Chandler K, Achenbach P, Piemonti L, Long AE, Gillespie KM, Lampasona V, Williams AJ. Improved Specificity of Glutamate Decarboxylase 65 Autoantibody Measurement Using Luciferase-Based Immunoprecipitation System Assays. Diabetes 2024; 73:565-571. [PMID: 38232306 PMCID: PMC10958581 DOI: 10.2337/db23-0550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/23/2023] [Indexed: 01/19/2024]
Abstract
Autoantibodies to glutamate decarboxylase (GADA) are widely used in the prediction and classification of type 1 diabetes. GADA radiobinding assays (RBAs) using N-terminally truncated antigens offer improved specificity, but radioisotopes limit the high-throughput potential for population screening. Luciferase-based immunoprecipitation system (LIPS) assays are sensitive and specific alternatives to RBAs with the potential to improve risk stratification. The performance of assays using the Nanoluc luciferase (Nluc)-conjugated GAD65 constructs, Nluc-GAD65(96-585) and full length Nluc-GAD65(1-585), were evaluated in 434 well-characterized serum samples from patients with recent-onset type 1 diabetes and first-degree relatives. Nonradioactive, high-throughput LIPS assays are quicker and require less serum than RBAs. Of 171 relatives previously tested single autoantibody positive for autoantibodies to full-length GAD65 by RBA but had not progressed to diabetes, fewer retested positive by LIPS using either truncated (n = 72) or full-length (n = 111) antigen. The Nluc-GAD65(96-585) truncation demonstrated the highest specificity in LIPS assays overall, but in contrast to RBA, N-terminus truncations did not result in a significant increase in disease-specificity compared with the full-length antigen. This suggests that binding of nonspecific antibodies is affected by the conformational changes resulting from addition of the Nluc antigen. Nluc-GAD65(96-585) LIPS assays offer low-blood-volume, high-specificity GADA tests for screening and diagnostics. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Rebecca C. Wyatt
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | - Sian L. Grace
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | - Cristina Brigatti
- San Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ilaria Marzinotto
- San Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ben T. Gillard
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | | | - Kyla Chandler
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Forschergruppe Diabetes, Munich, Germany
| | - Lorenzo Piemonti
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Anna E. Long
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | - Kathleen M. Gillespie
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
| | - Vito Lampasona
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alistair J.K. Williams
- Diabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K
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Jia X, Yu L. Understanding Islet Autoantibodies in Prediction of Type 1 Diabetes. J Endocr Soc 2023; 8:bvad160. [PMID: 38169963 PMCID: PMC10758755 DOI: 10.1210/jendso/bvad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Indexed: 01/05/2024] Open
Abstract
As screening studies and preventive interventions for type 1 diabetes (T1D) advance rapidly, the utility of islet autoantibodies (IAbs) in T1D prediction comes with challenges for early and accurate disease progression prediction. Refining features of IAbs can provide more accurate risk assessment. The advances in islet autoantibodies assay techniques help to screen out islet autoantibodies with high efficiency and high disease specificity. Exploring new islet autoantibodies to neoepitopes/neoantigens remains a hot research field for improving prediction and disease pathogenesis. We will review the recent research progresses of islet autoantibodies to better understand the utility of islet autoantibodies in prediction of T1D.
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Affiliation(s)
- Xiaofan Jia
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
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6
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Heneberg P. Diabetes in stiff-person syndrome. Trends Endocrinol Metab 2023; 34:640-651. [PMID: 37586963 DOI: 10.1016/j.tem.2023.07.005] [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] [Received: 02/28/2023] [Revised: 07/08/2023] [Accepted: 07/24/2023] [Indexed: 08/18/2023]
Abstract
Anti-glutamic acid decarboxylase (GAD) autoantibodies are a hallmark of stiff-person syndrome (SPS) and insulin-dependent diabetes mellitus (IDDM). However, patients with concurrent IDDM and SPS often manifest insulin resistance, and SPS-associated IDDM probably has heterogeneous causes. Some patients manifest IDDM associated only with high titers of anti-GAD65 caused by SPS. By contrast, other patients develop IDDM only after being treated with high-dose corticosteroids or they progress to insulin dependency following their treatment with high-dose corticosteroids. The profile of autoantibodies differs markedly between type 1 diabetes mellitus (T1DM), late-onset diabetes mellitus, and SPS-associated IDDM. Therefore, as with new-onset diabetes after transplantation (NODAT), SPS-associated IDDM should be classified as a specific diabetes entity, the pathophysiology of which requires increased attention.
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Affiliation(s)
- Petr Heneberg
- Charles University, Third Faculty of Medicine, Prague, Czech Republic.
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7
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Liu YC, Liu H, Zhao SL, Chen K, Jin P. Clinical and HLA genotype analysis of immune checkpoint inhibitor-associated diabetes mellitus: a single-center case series from China. Front Immunol 2023; 14:1164120. [PMID: 37359544 PMCID: PMC10288983 DOI: 10.3389/fimmu.2023.1164120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Objective To investigate the clinical characteristics and HLA genotypes of patients with immune checkpoint inhibitor-associated diabetes mellitus (ICI-DM) in China. Methods We enrolled 23 patients with ICI-DM and 51 patients with type 1 diabetes (T1D). Clinical characteristics of the patients were collected. HLA-DRB1, HLA-DQA1, and HLA-DQB1 genotyping was conducted via next-generation sequencing. Results The ICI-DM patients had a male predominance (70.6%), a mean body mass index (BMI) of 21.2 ± 3.5 kg/m2, and a mean onset of ICI-DM in 5 (IQR, 3-9) cycles after ICI therapy. Most (78.3%) ICI-DM patients were treated with anti-PD-1, 78.3% presented with diabetic ketoacidosis, and all had low C-peptide levels and received multiple insulin injections. Compared to T1D patients, ICI-DM patients were significantly older (57.2 ± 12.4 vs 34.1 ± 15.7 years) and had higher blood glucose but lower HbA1c levels (P<0.05). Only two (8.7%) ICI-DM patients were positive for islet autoantibodies, which was lower than that in T1D patients (66.7%, P<0.001). A total of 59.1% (13/22) of ICI-DM patients were heterozygous for an HLA T1D risk haplotype, and DRB1*0901-DQA1*03-DQB1*0303 (DR9) and DRB1*0405-DQA1*03-DQB1*0401 were the major susceptible haplotypes. Compared to T1D, the susceptible DR3-DQA1*0501-DQB1*0201 (DR3) and DR9 haplotypes were less frequent (17.7% vs 2.3%; P=0.011 and 34.4% vs 15.9%; P=0.025), whereas the protective haplotypes (DRB1*1101-DQA1*05-DQB1*0301 and DRB1*1202-DQA1*0601-DQB1*0301) were more frequent in ICI-DM patients (2.1% vs 13.6%; P=0.006 and 4.2% vs 15.9%; P=0.017). None of the ICI-DM patients had T1D-associated high-risk genotypes DR3/DR3, DR3/DR9, and DR9/DR9. Among the 23 ICI-DM patients, 7 (30.4%) presented with ICI-associated fulminant type 1 diabetes (IFD), and 16 (69.6%) presented with ICI-associated type 1 diabetes (IT1D). Compared to IT1D patients, IFD patients exhibited marked hyperglycemia and low C-peptide and HbA1c levels (P<0.05). Up to 66.7% (4/6) of IFD patients were heterozygous for reported fulminant type 1 diabetes susceptibility HLA haplotypes (DRB1*0405-DQB1*0401 or DRB1*0901-DQB1*0303). Conclusion ICI-DM shares similar clinical features with T1D, such as acute onset, poor islet function and insulin dependence. However, the lack of islet autoantibodies, the low frequencies of T1D susceptibility and high frequencies of protective HLA haplotypes indicate that ICI-DM represents a new model distinct from classical T1D.
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8
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Jia X, Yu L. Effective assay technologies fit for large-scale population screening of type 1 diabetes. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 3:1034698. [PMID: 36992730 PMCID: PMC10012058 DOI: 10.3389/fcdhc.2022.1034698] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023]
Abstract
While worldwide prevention efforts for type 1 diabetes (T1D) are underway to abrogate or slow progression to diabetes, mass screening of islet autoantibodies (IAbs) in the general population is urgently needed. IAbs, the most reliable biomarkers, play an essential role in prediction and clinical diagnosis of T1D. Through laboratory proficiency programs and harmonization efforts, a radio-binding assay (RBA) has been well established as the current 'gold' standard assay for all four IAbs. However, in view of the need for large-scale screening in the non-diabetic population, RBA consistently faces two fundamental challenges, cost-efficiency and disease specificity. While all four IAbs are important for disease prediction, the RBA platform, with a separate IAb test format is laborious, inefficient and expensive. Furthermore, the majority of IAb positivity in screening, especially from individuals with single IAb were found to be low risk with low affinity. It is well documented from multiple clinical studies that IAbs with low affinity are low risk with less or no disease relevance. At present, two non-radioactive multiplex assays, a 3-assay ELISA combining three IAbs and a multiplex ECL assay combining all four IAbs, have been successfully used as the primary methods for general population screenings in Germany and the US, respectively. Recently, the TrialNet Pathway to Prevention study has been organizing an IAb workshop which aims to analyze the 5-year T1D predictive values of IAbs. A T1D-specific assay with high efficiency, low cost and requiring low volume of sample will definitely be necessary to benefit general population screening.
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Affiliation(s)
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, United States
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Qi Y, Chen S, Chen H, Chen Y, Shi Y, Qin Y, Zhang M, Yang T, Gu Y. Combined detection of islet autoantibodies for clinical diagnosis of type 1 diabetes in the low-prevalence population. J Clin Endocrinol Metab 2022; 108:e326-e333. [PMID: 36480302 DOI: 10.1210/clinem/dgac720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/29/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
CONTEXT Single positive islet autoantibodies (IAbs), sometimes detected in healthy individuals and low risk type 1 diabetes (T1D) patients, are considered to be irrelevant to the development of diabetes, making it difficult to diagnose and classify adult-onset diabetics. OBJECTIVE To determine the significance and clinical value of IAbs in T1D diagnosis in the low-prevalence population; and to explore whether electrochemiluminescence (ECL)-IAb detection assay can improve the clinical utility of IAbs in the immunodiagnosis of T1D in the low-prevalence population. PARTICIPANTS AND METHODS A total of 633 newly-diagnosed adult-onset diabetic patients (≥18 years old) were divided into two groups according to their clinical phenotypes: 575 patients with age at diagnosis ≥35 years and body mass index (BMI) ≥ 24 kg/m2 were considered a low-prevalence population (population with a low prevalence of T1D) and the other 58 patients were considered a high-prevalence population. All the samples from 633 participants were tested with IAbs using standard radiobinding assays (RBA) and electrochemiluminescence (ECL) assay, in parallel. RESULTS Compared with the high-prevalence population, fewer positive IAbs (94/575, 16.3% vs. 28/58, 48.3%) were detected in the low-prevalence population, and more of which (69/94, 73.4% vs. 9/28, 32.2%) were positive for a single IAb, with GADA being the most prevalent single-IAb. Single-IAb detection in the low-prevalence population did not always suggest T1D phenotype. Combined detection of IAbs by RBA and ECL assays had a significant clinical utility to distinguish autoimmune diabetes in the low-prevalence population with low BMI, poor β-cell function at the diagnosis, and an accelerated decline in β-cell function during the follow-up. CONCLUSIONS Combined autoantibody detection by RBA and ECL assays improved differentiating autoimmune from non-autoimmune diabetes in the low-prevalence population.
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Affiliation(s)
- Yanyan Qi
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shuang Chen
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Heng Chen
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yang Chen
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yun Shi
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yao Qin
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mei Zhang
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tao Yang
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yong Gu
- The Department of Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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10
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Grace SL, Bowden J, Walkey HC, Kaur A, Misra S, Shields BM, McKinley TJ, Oliver NS, McDonald TJ, Johnston DG, Jones AG, Patel KA. Islet Autoantibody Level Distribution in Type 1 Diabetes and Their Association With Genetic and Clinical Characteristics. J Clin Endocrinol Metab 2022; 107:e4341-e4349. [PMID: 36073000 PMCID: PMC9693812 DOI: 10.1210/clinem/dgac507] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT The importance of the autoantibody level at diagnosis of type 1 diabetes (T1D) is not clear. OBJECTIVE We aimed to assess the association of glutamate decarboxylase (GADA), islet antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A) autoantibody levels with clinical and genetic characteristics at diagnosis of T1D. METHODS We conducted a prospective, cross-sectional study. GADA, IA-2A, and ZnT8A were measured in 1644 individuals with T1D at diagnosis using radiobinding assays. Associations between autoantibody levels and the clinical and genetic characteristics for individuals were assessed in those positive for these autoantibodies. We performed replication in an independent cohort of 449 people with T1D. RESULTS GADA and IA-2A levels exhibited a bimodal distribution at diagnosis. High GADA level was associated with older age at diagnosis (median 27 years vs 19 years, P = 9 × 10-17), female sex (52% vs 37%, P = 1 × 10-8), other autoimmune diseases (13% vs 6%, P = 3 × 10-6), and HLA-DR3-DQ2 (58% vs 51%, P = .006). High IA-2A level was associated with younger age of diagnosis (median 17 years vs 23 years, P = 3 × 10-7), HLA-DR4-DQ8 (66% vs 50%, P = 1 × 10-6), and ZnT8A positivity (77% vs 52%, P = 1 × 10-15). We replicated our findings in an independent cohort of 449 people with T1D where autoantibodies were measured using enzyme-linked immunosorbent assays. CONCLUSION Islet autoantibody levels provide additional information over positivity in T1D at diagnosis. Bimodality of GADA and IA-2A autoantibody levels highlights the novel aspect of heterogeneity of T1D. This may have implications for T1D prediction, treatment, and pathogenesis.
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Affiliation(s)
- Sian Louise Grace
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
| | - Jack Bowden
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
| | - Helen C Walkey
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK
| | - Akaal Kaur
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK
| | - Shivani Misra
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK
| | - Beverley M Shields
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
| | - Trevelyan J McKinley
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
| | - Nick S Oliver
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK
| | - Timothy J McDonald
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
- Academic Department of Clinical Biochemistry, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon EX2 5DW, UK
| | - Desmond G Johnston
- Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK
| | - Angus G Jones
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK
- Macleod Diabetes and Endocrine Centre, Royal Devon and Exeter NHS Foundation Trust, Exeter, Devon EX2 5DW, UK
| | - Kashyap A Patel
- Correspondence: Kashyap A. Patel, PhD, Institute of Biomedical & Clinical Science, University of Exeter Medical School, Level 3 RILD Bldg, RD&E Wonford, Barrack Road, Exeter, Devon EX2 5DW, UK.
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11
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The relationship between GAD65 autoantibody and the risk of T1DM onset. J Diabetes Metab Disord 2022. [PMID: 36404832 PMCID: PMC9672278 DOI: 10.1007/s40200-022-01098-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Objectives Type 1 diabetes mellitus (T1DM) is a well-known autoimmune disease, characterized by β-cell destruction in pancreas islet cells, which results insulin deficiency and subsequent hyperglycemic sequelae. While there is screening for type 2 DM that leads to better glycemic control and outcome, the majority of T1DM patients are diagnosed when much of the pancreatic cells and their function are disturbed. The aim of this article is to present an overview of the effective factors in the positivity of Glutamic acid decarboxylase antibody )GADA( and identifying the high-risk individuals for T1DM. Methods We searched English literature available at National Library of Medicine via PubMed, and Google Scholar through December 2020. Finally, 79 papers have been included in the study. Studies were summarized based on the number of positive autoantibodies and onset of T1DM over time and GADA correlation with different variables. Conclusions GADA is an easy marker to measure that can be detected many months prior to the clinical presentation and remains positive even after early childhood.
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He L, Jia X, Rasmussen CG, Waugh K, Miao D, Dong F, Frohnert B, Steck AK, Simmons KM, Rewers M, Yu L. High-Throughput Multiplex Electrochemiluminescence Assay Applicable to General Population Screening for Type 1 Diabetes and Celiac Disease. Diabetes Technol Ther 2022; 24:502-509. [PMID: 35238620 PMCID: PMC9464081 DOI: 10.1089/dia.2021.0517] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Objective: Large-scale screening of the general population for islet autoantibodies (IAbs) to detect type 1 diabetes (T1D) has started worldwide. The standard screening method of separate radio-binding assay (RBA) for each IAb is an inefficient bottleneck. Furthermore, most positive results by RBA in screening of general population individuals without a clinical diagnosis of T1D are low-affinity and not predictive of future diabetes. Research Design and Methods: We have developed and validated a novel 6-Plex assay based on electrochemiluminescence (ECL) technology that combines in a single well high-affinity IAbs (to insulin, GAD, IA-2, and ZnT8), transglutaminase autoantibodies for celiac disease, and severe acute respiratory syndrome coronavirus 2 antibodies. The Autoimmunity Screening for Kids (ASK) provided 880 serum samples, from 828 children aged 1-17 years without diabetes who were previously tested for IAbs using single ECL assays and RBA assays. Results: Levels of all six antibodies in the 6-Plex ECL assay correlated well with respective single ECL assay levels. Similar to single ECL assays, the 6-Plex ECL assay positivity was congruent with the RBA in 95% (35/37) of children who later developed T1D and in 88% (105/119) high-risk children with multiple IAbs. In contrast, only 56% (86/154, P < 0.0001) of children with persistent single IAb by RBA were found to be positive by 6-Plex ECL assay. Of 555 samples negative for all IAbs by RBA, few (0.2%-0.5%) were positive at low levels in the 6-Plex ECL assay. Conclusions: The study demonstrated that the 6-Plex ECL assay compares favorably to the standard RBAs in terms of disease specificity for general population screening in children. The 6-Plex ECL assay was therefore adopted as the primary screening tool in the general population screening ASK program with advantages of high efficiency, low cost, and low serum volume.
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Affiliation(s)
- Ling He
- Department of Endocrinology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Xiaofan Jia
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Cristy Geno Rasmussen
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Dongmei Miao
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Brigitte Frohnert
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kimber M. Simmons
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
- Address correspondence to: Marian Rewers, MD, PhD, Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 1775 Aurora Ct, B140, Aurora, CO 80045, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
- Address correspondence to: Liping Yu, MD, Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 1775 Aurora Ct, B140, Aurora, CO 80045, USA
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Peng Y, Li X, Xiang Y, Yan X, Zhou H, Tang X, Cheng J, Niu X, Liu J, Ji Q, Ji L, Huang G, Zhou Z. GAD65 Antibody Epitopes and Genetic Background in Latent Autoimmune Diabetes in Youth (LADY). Front Immunol 2022; 13:836952. [PMID: 35392100 PMCID: PMC8982141 DOI: 10.3389/fimmu.2022.836952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/10/2022] [Indexed: 11/29/2022] Open
Abstract
Epitope-specific GAD65Abs and HLA-DR-DQ gene assays help improve the value of risk stratification in autoimmune diabetes mellitus and protect islet function. Identification and early intervention are important for latent autoimmune diabetes in youth (LADY). The aims of this study were to investigate 1) the frequencies of the epitope-specific GAD65Abs and HLA-DR-DQ genes in LADY and 2) the association between HLA-DR-DQ genes and epitope-specific GAD65Abs. Higher frequencies of GAD65-CAb and multiepitope GAD65Abs were observed in young type 1 diabetes, LADY, and old type 1 diabetes subjects than those in latent autoimmune diabetes in adult (LADA) patients. The frequencies of the specific susceptible HLA haplotype DR3, total susceptible HLA haplotypes, and high-risk genotypes were higher in type 1 diabetes and LADY patients than those in LADA patients. In contrast, type 1 diabetes and LADY patients had lower frequencies of low/no genetic risk genotypes (DRX/X) than those of LADA patients. Logistic regression analysis suggested that the susceptible HLA haplotypes were risk factors for glutamic acid decarboxylase antibody (GADA) multiepitope positivity in autoimmune diabetes mellitus. LADY may be more severe than LADA, and LADY seemed to be a transitional type of type 1 diabetes and LADA. GADA epitope and HLA-DR-DQ gene assays are important for risk stratification in autoimmune diabetes mellitus and protection of islet function.
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Affiliation(s)
- Yiman Peng
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yufei Xiang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiang Yan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Houde Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaohan Tang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jin Cheng
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaohong Niu
- Department of Endocrinology, Heji Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Jing Liu
- Department of Endocrinology, Gansu Provincial Hospital, Lanzhou, China
| | - Qiuhe Ji
- Department of Endocrinology, Xijing Hospital, Fourth Military Medical University, Xi an, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China
| | - Gan Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, China
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14
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Pöllänen PM, Härkönen T, Ilonen J, Toppari J, Veijola R, Siljander H, Knip M. Autoantibodies to N-terminally Truncated GAD65(96-585): HLA Associations and Predictive Value for Type 1 Diabetes. J Clin Endocrinol Metab 2022; 107:e935-e946. [PMID: 34747488 PMCID: PMC8851925 DOI: 10.1210/clinem/dgab816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To evaluate the role of autoantibodies to N-terminally truncated glutamic acid decarboxylase GAD65(96-585) (t-GADA) as a marker for type 1 diabetes (T1D) and to assess the potential human leukocyte antigen (HLA) associations with such autoantibodies. DESIGN In this cross-sectional study combining data from the Finnish Pediatric Diabetes Register, the Type 1 Diabetes Prediction and Prevention study, the DIABIMMUNE study, and the Early Dietary Intervention and Later Signs of Beta-Cell Autoimmunity study, venous blood samples from 760 individuals (53.7% males) were analyzed for t-GADA, autoantibodies to full-length GAD65 (f-GADA), and islet cell antibodies. Epitope-specific GAD autoantibodies were analyzed from 189 study participants. RESULTS T1D had been diagnosed in 174 (23%) participants. Altogether 631 (83%) individuals tested positive for f-GADA and 451 (59%) for t-GADA at a median age of 9.0 (range 0.2-61.5) years. t-GADA demonstrated higher specificity (46%) and positive predictive value (30%) for T1D than positivity for f-GADA alone (15% and 21%, respectively). Among participants positive for f-GADA, those who tested positive for t-GADA carried more frequently HLA genotypes conferring increased risk for T1D than those who tested negative for t-GADA (77% vs 53%; P < 0.001). CONCLUSIONS Autoantibodies to N-terminally truncated GAD improve the screening for T1D compared to f-GADA and may facilitate the selection of participants for clinical trials. HLA class II-mediated antigen presentation of GAD(96-585)-derived or structurally similar peptides might comprise an important pathomechanism in T1D.
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Affiliation(s)
- Petra M Pöllänen
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Taina Härkönen
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jorma Ilonen
- Immunogenetic Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, and Institute of Biomedicine and Centre for Population Health Research, University of Turku, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Group, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Heli Siljander
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Mikael Knip
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
- Correspondence: Mikael Knip; MD, PhD, Children’s Hospital, University of Helsinki, PO Box 22 (Stenbäckinkatu 11), FI-00014 Helsinki, Finland. E-mail:
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15
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Jia X, He L, Miao D, Waugh K, Rasmussen CG, Dong F, Steck AK, Rewers M, Yu L. High-affinity ZnT8 Autoantibodies by Electrochemiluminescence Assay Improve Risk Prediction for Type 1 Diabetes. J Clin Endocrinol Metab 2021; 106:3455-3463. [PMID: 34343303 PMCID: PMC8864749 DOI: 10.1210/clinem/dgab575] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Indexed: 01/13/2023]
Abstract
CONTEXT Single ZnT8 autoantibody (ZnT8A) positivity by standard radiobinding assay (RBA) is commonly seen in nondiabetes population-based screening and the risk of progression to type 1 diabetes (T1D) in subjects with single ZnT8A is unknown. OBJECTIVE Identify the risk of progression to T1D in individuals positive only for ZnT8A. METHODS We developed an electrochemiluminescence (ECL) assay to detect high-affinity ZnT8A and validated it in 3 populations: 302 patients newly diagnosed with T1D, 135 nondiabetic children positive for ZnT8A by RBA among 23 400 children screened by the Autoimmunity Screening for Kids (ASK) study, and 123 nondiabetic children multiple autoantibody positive or single ZnT8A positive by RBA participating in the Diabetes Autoimmunity Study in the Young (DAISY). RESULTS In 302 patients with T1D at diagnosis, the positivity for ZnT8A was 62% both in RBA and ECL. Among ASK 135 participants positive for RBA-ZnT8A, 64 were detected ZnT8A as the only islet autoantibody. Of these 64, only 9 were confirmed by ECL-ZnT8A, found to be of high affinity with increased T1D risk. The overall positive predictive value of ECL-ZnT8A for T1D risk was 87.1%, significantly higher than that of RBA-ZnT8A (53.5%, P < .001). In DAISY, 11 of 2547 children who had no positivity previously detected for other islet autoantibodies were identified as single ZnT8A by RBA; of these, 3 were confirmed positive by ECL-ZnT8A and all 3 progressed to clinical T1D. CONCLUSION A large proportion of ZnT8A by RBA are single ZnT8A with low T1D risk, whereas ZnT8A by ECL was of high affinity and high prediction for T1D development.
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Affiliation(s)
- Xiaofan Jia
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
- Department of Endocrinology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P. R. China
| | - Ling He
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
- Department of Endocrinology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, P. R. China
| | - Dongmei Miao
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Cristy Geno Rasmussen
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Andrea K Steck
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, Colorado 80045, USA
- Correspondence: Liping Yu, MD, Barbara Davis Center for Diabetes, University of Colorado School of Medicine, 1775 Aurora Ct, B-140, Aurora, CO 80045, USA.
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16
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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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17
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Gu Y, Jia X, Vartak T, Miao D, Dong F, Jerram ST, Rewers M, Ferrara A, Lawrence JM, Yu L, Leslie RD. Improving clinical utility of GAD65 autoantibodies by electrochemiluminescence assay and clinical phenotype when identifying autoimmune adult-onset diabetes. Diabetologia 2021; 64:2052-2060. [PMID: 34272582 PMCID: PMC8382643 DOI: 10.1007/s00125-021-05492-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/19/2021] [Indexed: 01/01/2023]
Abstract
AIMS/HYPOTHESIS It is important to differentiate the two major phenotypes of adult-onset diabetes, autoimmune type 1 diabetes and non-autoimmune type 2 diabetes, especially as type 1 diabetes presents in adulthood. Serum GAD65 autoantibodies (GADA) are the most sensitive biomarker for adult-onset autoimmune type 1 diabetes, but the clinical value of GADA by current standard radiobinding assays (RBA) remains questionable. The present study focused on the clinical utility of GADA differentiated by a new electrochemiluminescence (ECL) assay in patients with adult-onset diabetes. METHODS Two cohorts were analysed including 771 diabetic participants, 30-70 years old, from the Action LADA study (n = 6156), and 2063 diabetic participants, 20-45 years old, from the Diabetes in Young Adults (DiYA) study. Clinical characteristics of participants, including requirement of early insulin treatment, BMI and development of multiple islet autoantibodies, were analysed according to the status of RBA-GADA and ECL-GADA, respectively, and compared between these two assays. RESULTS GADA was the most prevalent and predominant autoantibody, >90% in both cohorts. GADA positivity by either RBA or ECL assay significantly discriminated clinical type 1 from type 2 diabetes. However, in both cohorts, participants with ECL-GADA positivity were more likely to require early insulin treatment, have multiple islet autoantibodies, and be less overweight (for all p < 0.0001). However, clinical phenotype, age at diagnosis and BMI independently improved positive predictive value (PPV) for the requirement of insulin treatment, even augmenting ECL-GADA. Participants with GADA detectable by RBA, but not confirmed by ECL, had a phenotype more similar to type 2 diabetes. These RBA-GADA positive individuals had lower affinity GADA compared with participants in which GADA was confirmed by ECL assay. CONCLUSIONS/INTERPRETATION Detection of GADA by ECL assay, given technical advantages over RBA-GADA, identified adult-onset diabetes patients at higher risk of requiring early insulin treatment, as did clinical phenotype, together allowing for more accurate clinical diagnosis and management.
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Affiliation(s)
- Yong Gu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Endocrinology and Metabolism, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaofan Jia
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Endocrinology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Tanwi Vartak
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Dongmei Miao
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Samuel T Jerram
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
| | - R David Leslie
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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The Multifactorial Progression from the Islet Autoimmunity to Type 1 Diabetes in Children. Int J Mol Sci 2021; 22:ijms22147493. [PMID: 34299114 PMCID: PMC8305179 DOI: 10.3390/ijms22147493] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/04/2021] [Accepted: 07/09/2021] [Indexed: 12/12/2022] Open
Abstract
Type 1 Diabetes (T1D) results from autoimmune destruction of insulin producing pancreatic ß-cells. This disease, with a peak incidence in childhood, causes the lifelong need for insulin injections and necessitates careful monitoring of blood glucose levels. However, despite the current insulin therapies, it still shortens life expectancy due to complications affecting multiple organs. Recently, the incidence of T1D in childhood has increased by 3-5% per year in most developed Western countries. The heterogeneity of the disease process is supported by the findings of follow-up studies started early in infancy. The development of T1D is usually preceded by the appearance of autoantibodies targeted against antigens expressed in the pancreatic islets. The risk of T1D increases significantly with an increasing number of positive autoantibodies. The order of autoantibody appearance affects the disease risk. Genetic susceptibility, mainly defined by the human leukocyte antigen (HLA) class II gene region and environmental factors, is important in the development of islet autoimmunity and T1D. Environmental factors, mainly those linked to the changes in the gut microbiome as well as several pathogens, especially viruses, and diet are key modulators of T1D. The aim of this paper is to expand the understanding of the aetiology and pathogenesis of T1D in childhood by detailed description and comparison of factors affecting the progression from the islet autoimmunity to T1D in children.
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Avidity of anti-phospholipid antibodies in relation to their levels. Cent Eur J Immunol 2021; 45:136-143. [PMID: 33456323 PMCID: PMC7792445 DOI: 10.5114/ceji.2020.97901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/07/2019] [Indexed: 11/30/2022] Open
Abstract
Introduction The heterogeneity of anti-phospholipid antibodies can be manifested not only in different antigenic specificities, but also in their avidities. The aim of the study was to investigate the relationship between anti-cardiolipin antibody (aCL) IgG avidities and levels within the range of their titres, from very low to high ones. Material and methods We analyzed 78 serum samples from 60 patients by ELISA with chaotropic agents, using urea concentration of 6 and 8 mol/l and single diluted serum samples. The changes of aCL levels and avidities were explored during a long-term follow-up in 14 patients. Results The avidities of aCLs did not differ in the groups of patients classified according to aCL levels. The higher avidity antibodies predominated in our patients and the fluctuation of avidities in the longitudinal follow-up did not show significant differences. No relationship between aCL levels and their avidities was found. Conclusions aCL avidities seem to have no relationship with aCL levels and high-avidity aCLs; the potentially deleterious effects might be present also in patients with low and extremely low aCL levels. Avidity of aCLs belongs to stable characteristics with insignificant changes in time.
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Zhu Y, Qian L, Liu Q, Zou J, Zhou Y, Yang T, Huang G, Zhou Z, Liu Y. Glutamic Acid Decarboxylase Autoantibody Detection by Electrochemiluminescence Assay Identifies Latent Autoimmune Diabetes in Adults with Poor Islet Function. Diabetes Metab J 2020; 44:260-266. [PMID: 31769235 PMCID: PMC7188968 DOI: 10.4093/dmj.2019.0007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 04/30/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The detection of glutamic acid decarboxylase 65 (GAD65) autoantibodies is essential for the prediction and diagnosis of latent autoimmune diabetes in adults (LADA). The aim of the current study was to compare a newly developed electrochemiluminescence (ECL)-GAD65 antibody assay with the established radiobinding assay, and to explore whether the new assay could be used to define LADA more precisely. METHODS Serum samples were harvested from 141 patients with LADA, 95 with type 1 diabetes mellitus, and 99 with type 2 diabetes mellitus, and tested for GAD65 autoantibodies using both the radiobinding assay and ECL assay. A glutamic acid decarboxylase antibodies (GADA) competition assay was also performed to assess antibody affinity. Furthermore, the clinical features of these patients were compared. RESULTS Eighty-eight out of 141 serum samples (62.4%) from LADA patients were GAD65 antibody-positive by ECL assay. Compared with ECL-GAD65 antibody-negative patients, ECL-GAD65 antibody-positive patients were leaner (P<0.0001), had poorer β-cell function (P<0.05), and were more likely to have other diabetes-associated autoantibodies. The β-cell function of ECL-GAD65 antibody-positive patients was similar to that of type 1 diabetes mellitus patients, whereas ECL-GAD65 antibody-negative patients were more similar to type 2 diabetes mellitus patients. CONCLUSION Patients with ECL-GAD65 antibody-negative share a similar phenotype with type 2 diabetes mellitus patients, whereas patients with ECL-GAD65 antibody-positive resemble those with type 1 diabetes mellitus. Thus, the detection of GADA using ECL may help to identify the subtype of LADA.
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Affiliation(s)
- Yuxiao Zhu
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Li Qian
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Qing Liu
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Zou
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Ying Zhou
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Gan Huang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Zhiguang Zhou
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Yu Liu
- Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
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21
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Harmonization of immunoassays for biomarkers in diabetes mellitus. Biotechnol Adv 2020; 39:107359. [DOI: 10.1016/j.biotechadv.2019.02.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 02/07/2019] [Accepted: 02/21/2019] [Indexed: 12/13/2022]
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22
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Liu B, Xiang Y, Liu Z, Zhou Z. Past, present and future of latent autoimmune diabetes in adults. Diabetes Metab Res Rev 2020; 36:e3205. [PMID: 31318117 DOI: 10.1002/dmrr.3205] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 06/14/2019] [Accepted: 07/11/2019] [Indexed: 12/14/2022]
Abstract
Latent autoimmune diabetes in adults (LADA) is the most common form of autoimmune diabetes diagnosed in adults. Similar to type 1 diabetes, the prevalence of LADA is impacted by ethnicity and geography. LADA is characterized by β cell loss due to autoimmunity and insulin resistance and has highly heterogeneous clinical features, autoimmunity, and genetics in a glutamic acid decarboxylase antibody (GADA) titre-dependent manner, suggesting LADA is part of a continuum spectrum between type 1 and type 2 diabetes. Although LADA is the most frequent form of autoimmune diabetes diagnosed in adults, clinical trials involving LADA are scarce. Here we review the recent advancements in LADA epidemiology, clinical features, pathogenesis, and interventions. We also highlight the environmental factors that are thought to play an important role in addition to genetics in the pathogenesis of LADA. In the future, high-throughput molecular profiles might shed light on the nature of LADA among the wide spectrum of diabetes and offer new opportunities to identify novel LADA-specific biomarkers.
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Affiliation(s)
- Bingwen Liu
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Central South University, Changsha, China
| | - Yufei Xiang
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Central South University, Changsha, China
| | - Zhenqi Liu
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia Health System, Charlottesville, VA
| | - Zhiguang Zhou
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Central South University, Changsha, China
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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: 25] [Impact Index Per Article: 5.0] [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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24
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Kawasaki E, Okada A, Uchida A, Fukuyama T, Sagara Y, Nakano Y, Tamai H, Tojikubo M, Koga N. Discrepancy of glutamic acid decarboxylase 65 autoantibody results between RSR radioimmunoassay and enzyme-linked immunosorbent assay in patients with type 1 diabetes is related to autoantibody affinity. J Diabetes Investig 2019; 10:990-996. [PMID: 30582775 PMCID: PMC6626941 DOI: 10.1111/jdi.12996] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/18/2018] [Accepted: 12/20/2018] [Indexed: 11/28/2022] Open
Abstract
AIM/INTRODUCTION Autoantibodies to the 65 kDa isoform of glutamic acid decarboxylase (GADA) are a valuable diagnostic and predictive marker for type 1 diabetes. Recently, it has been reported that a significant proportion of sera in the commercial RSR radioimmunoassay (RIA) that have tested positive for GADA have then turned negative in RSR enzyme-linked immunosorbent assay (ELISA) tests in patients with type 1 diabetes. The present study aimed to investigate whether the GADA result discrepancies between RSR-RIA and RSR-ELISA are related to autoantibody affinity. METHODS GADA affinity was measured by a competitive binding experiment using unlabeled recombinant human GAD65 in 12 discordant samples (5 RIA[+]/ELISA[-] and 7 RIA[-]/ELISA[+] sera). Furthermore, the effect of the initial incubation time on the GADA positivity was also examined using the ELISA test. RESULTS GADA affinities were >1010 L/mol in two of five RIA(+)/ELISA(-) and all of seven RIA(-)/ELISA(+) sera. After an initial incubation time longer than the recommended 1 h, the GADA titer in three of five RIA(+)/ELISA(-) sera and all RIA(-)/ELISA(+) sera increased 1.6- to 100-fold. However, the titer in 12 GADA-negative sera from healthy controls remained unchanged after the longer incubation. The increment ratio of GADA titer was positively correlated with GADA affinity (r = 0.991, P < 0.001). CONCLUSIONS The RSR-RIA test identifies both high- and low-affinity GADA, whereas the RSR-ELISA test identifies only high-affinity GADA. A longer initial incubation time in the RSR-ELISA test increases the sensitivity of GADA with the same specificity in patients with type 1 diabetes.
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Affiliation(s)
- Eiji Kawasaki
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | | | - Aira Uchida
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Takahiro Fukuyama
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Yoko Sagara
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Yuko Nakano
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Hidekazu Tamai
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Masayuki Tojikubo
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
| | - Nobuhiko Koga
- Department of Diabetes and EndocrinologyShin‐Koga HospitalKurumeJapan
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25
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Oikawa Y, Kondo T, Shimada A, Seino Y, Kitaoka M. Actual condition survey regarding mismatch of measurements between radioimmunoassay and enzyme-linked immunosorbent assay tests for anti-glutamic acid decarboxylase antibody in real-world clinical practice. J Diabetes Investig 2019; 10:685-689. [PMID: 30307126 PMCID: PMC6497777 DOI: 10.1111/jdi.12955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 09/11/2018] [Accepted: 10/07/2018] [Indexed: 11/28/2022] Open
Abstract
Anti-glutamic acid decarboxylase antibody (GADA) is an important islet cell-associated autoantibody for the diagnosis of autoimmune type 1 diabetes mellitus. In Japan, the GADA assay kit was recently changed from radioimmunoassay (RIA) to enzyme-linked immunosorbent assay (ELISA). Thereafter, a mismatched measurement between the two tests became apparent in clinical situations. The present study aimed to clarify the actual extent of mismatch between the two measurements on a larger-scale real-world clinical practice. In this cross-sectional non-local/non-hospital-based study, we collected anonymized data on GADA levels of 598 participants, who were simultaneously measured with GADA-RIA and GADA enzyme-linked immunosorbent assay tests. We found that 34% of the GADA-RIA-positive participants showed negative results in the GADA enzyme-linked immunosorbent assay test; the mismatch was predominantly observed in participants with relatively low GADA-RIA levels (<32 U/mL). This considerable mismatch might lead to physicians' confusion in diagnosing type 1 diabetes mellitus.
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Affiliation(s)
- Yoichi Oikawa
- Committee for Optimization of Medical Equipment and PharmaceuticalsJapan Association for Diabetes Education and CareTokyoJapan
- Department of Endocrinology and DiabetesSchool of MedicineSaitama Medical UniversitySaitamaJapan
| | - Takuma Kondo
- Committee for Optimization of Medical Equipment and PharmaceuticalsJapan Association for Diabetes Education and CareTokyoJapan
- Third Department of Internal MedicineDivision of Diabetes, Endocrinology and MetabolismKyorin University School of MedicineTokyoJapan
| | - Akira Shimada
- Department of Endocrinology and DiabetesSchool of MedicineSaitama Medical UniversitySaitamaJapan
| | - Yutaka Seino
- Committee for Optimization of Medical Equipment and PharmaceuticalsJapan Association for Diabetes Education and CareTokyoJapan
- Center for Diabetes, Endocrinology and MetabolismKansai Electric Power Hospital and Kansai Electric Power Medical Research InstituteOsakaJapan
| | - Masafumi Kitaoka
- Committee for Optimization of Medical Equipment and PharmaceuticalsJapan Association for Diabetes Education and CareTokyoJapan
- Endocrinology and Metabolism CenterIMS Miyoshi General HospitalSaitamaJapan
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26
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Shi X, Huang G, Wang Y, Liu Z, Deng C, Li X, Zheng P, Zhou Z. Tetraspanin 7 autoantibodies predict progressive decline of beta cell function in individuals with LADA. Diabetologia 2019; 62:399-407. [PMID: 30594957 DOI: 10.1007/s00125-018-4799-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Accepted: 11/27/2018] [Indexed: 12/26/2022]
Abstract
AIMS/HYPOTHESIS The aim of this work was to investigate whether tetraspanin 7 autoantibodies (TSPAN7A) are valuable in predicting poor beta cell function in individuals with latent autoimmune diabetes in adults (LADA). METHODS The cross-sectional study involved participants with LADA (n = 173), type 1 diabetes (n = 158), type 2 diabetes (n = 204) and healthy control participants (n = 170). The longitudinal study involved 53 participants with LADA, with a 3-year follow-up. In both cohorts, TSPAN7A in the sera were measured by a luciferase immunoprecipitation system assay, and physical and clinical characteristics were recorded. RESULTS The prevalence of TSPAN7A in LADA, type 1 diabetes, type 2 diabetes and healthy control participants was 21.4% (37/173), 26% (41/158), 0.5% (1/204) and 1.2% (2/170), respectively. Importantly, measurement of TSPAN7A significantly increased the number of individuals with LADA found to be positive for multiple antibodies (32.4% vs 22%; p < 0.001). Further logistic regression analysis demonstrated that positivity for TSPAN7A (OR 2.87, p = 0.034), disease duration (OR 1.83, p = 0.019) and GAD antibody titre (OR 2.67, p = 0.009) were risk factors for beta cell function in LADA, while BMI (OR 0.34, p = 0.001) was a protective factor. In the prospective study in individuals with LADA, the median annual decrease in rates of fasting C-peptide and 2 h postprandial C-peptide in individuals who were positive for TSPAN7A was significantly higher when compared with the decrease in those who were negative for TSPAN7A (34.6% vs 7.9%, p = 0.043 and 33.2% vs 11%, p = 0.041, respectively). CONCLUSIONS/INTERPRETATION TSPAN7A are valid islet autoantibodies for use in East Asian populations with autoimmune diabetes and can discriminate individuals with LADA who have lower beta cell function after disease progression.
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Affiliation(s)
- Xiajie Shi
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Gan Huang
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Yanfei Wang
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Zhenqi Liu
- Division of Endocrinology and Metabolism, Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA
| | - Chao Deng
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Xia Li
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Peilin Zheng
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China.
| | - Zhiguang Zhou
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China.
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27
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Trabucchi A, Bombicino SS, Targovnik AM, Marfía JI, Sabljic AV, Faccinetti NI, Guerra LL, Iacono RF, Miranda MV, Valdez SN. Expression of recombinant glutamic acid decarboxylase in insect larvae and its application in an immunoassay for the diagnosis of autoimmune diabetes mellitus. Sci Rep 2019; 9:824. [PMID: 30696851 PMCID: PMC6351654 DOI: 10.1038/s41598-018-35744-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 10/10/2018] [Indexed: 11/16/2022] Open
Abstract
Autoimmune Diabetes Mellitus (DM) is a chronic disease caused by the selective destruction of insulin producing beta cells in human pancreas. DM is characterized by the presence of autoantibodies that bind a variety of islet-cell antigens. The 65 kDa isoform of glutamate decarboxylase (GAD65) is a major autoantigen recognized by these autoantibodies. Autoantibodies to GAD65 (GADA) are considered predictive markers of the disease when tested in combination with other specific autoantibodies. In order to produce reliable immunochemical tests for large scale screening of autoimmune DM, large amounts of properly folded GAD65 are needed. Herein, we report the production of human GAD65 using the baculovirus expression system in two species of larvae, Rachiplusia nu and Spodoptera frugiperda. GAD65 was identified at the expected molecular weight, properly expressed with high yield and purity in both larvae species and presenting appropriate enzymatic activity. The immunochemical ability of recombinant GAD65 obtained from both larvae to compete with [35S]GAD65 was assessed qualitatively by incubating GADA-positive patients’ sera in the presence of 1 μM of the recombinant enzyme. All sera tested became virtually negative after incubation with antigen excess. Besides, radiometric quantitative competition assays with GADA-positive patients’ sera were performed by adding recombinant GAD65 (0.62 nM–1.4 µM). All dose response curves showed immunochemical identity between proteins. In addition, a bridge-ELISA for the detection of GADA was developed using S. frugiperda-GAD65. This assay proved to have 77.3% sensitivity and 98.2% of specificity. GAD65 could be expressed in insect larvae, being S. frugiperda the best choice due to its high yield and purity. The development of a cost effective immunoassay for the detection of GADA was also afforded.
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Affiliation(s)
- Aldana Trabucchi
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Silvina S Bombicino
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Alexandra M Targovnik
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Biotecnología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Nanobiotecnología (NANOBIOTEC), Buenos Aires, Argentina
| | - Juan I Marfía
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Adriana V Sabljic
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Natalia I Faccinetti
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Luciano L Guerra
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - Ruben F Iacono
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina
| | - María V Miranda
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Biotecnología, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Nanobiotecnología (NANOBIOTEC), Buenos Aires, Argentina
| | - Silvina N Valdez
- Universidad de Buenos Aires (UBA), Facultad de Farmacia y Bioquímica, Departamento de Microbiología, Inmunología, Biotecnología y Genética, Cátedra de Inmunología, Buenos Aires, Argentina. .,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad de Buenos Aires, Instituto de Estudios de Inmunidad Humoral Prof. Ricardo A. Margni (IDEHU), Buenos Aires, Argentina.
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Sørgjerd EP. Type 1 Diabetes-related Autoantibodies in Different Forms of Diabetes. Curr Diabetes Rev 2019; 15:199-204. [PMID: 30058495 DOI: 10.2174/1573399814666180730105351] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 04/29/2018] [Accepted: 07/16/2018] [Indexed: 12/11/2022]
Abstract
Autoantibodies against Glutamic Acid Decarboxylase (GADA), insulinoma antigen-2 (IA- 2A), insulin (IAA) and the most recently Zinc Transporter 8 (ZnT8A) are one of the most reliable biomarkers for autoimmune diabetes in both children and adults. They are today the only biomarkers that can distinguish Latent Autoimmune Diabetes in Adults (LADA) from phenotypically type 2 diabetes. As the frequency of autoantibodies at diagnosis in childhood type 1 diabetes depends on age, GADA is by far the most common in adult onset autoimmune diabetes, especially LADA. Being multiple autoantibody positive have also shown to be more common in childhood diabetes compared to adult onset diabetes, and multiple autoantibody positivity have a high predictive value of childhood type 1 diabetes. Autoantibodies have shown inconsistent results to predict diabetes in adults. Levels of autoantibodies are reported to cause heterogeneity in LADA. Reports indicate that individuals with high levels of autoantibodies have a more type 1 diabetes like phenotype and individuals with low levels of autoantibody positivity have a more type 2 diabetes like phenotype. It is also well known that autoantibody levels can fluctuate and transient autoantibody positivity in adult onset autoimmune diabetes have been reported to affect the phenotype.
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Affiliation(s)
- Elin Pettersen Sørgjerd
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
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29
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Endesfelder D, Zu Castell W, Bonifacio E, Rewers M, Hagopian WA, She JX, Lernmark Å, Toppari J, Vehik K, Williams AJK, Yu L, Akolkar B, Krischer JP, Ziegler AG, Achenbach P. Time-Resolved Autoantibody Profiling Facilitates Stratification of Preclinical Type 1 Diabetes in Children. Diabetes 2019; 68:119-130. [PMID: 30305370 PMCID: PMC6302536 DOI: 10.2337/db18-0594] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 10/03/2018] [Indexed: 12/13/2022]
Abstract
Progression to clinical type 1 diabetes varies among children who develop β-cell autoantibodies. Differences in autoantibody patterns could relate to disease progression and etiology. Here we modeled complex longitudinal autoantibody profiles by using a novel wavelet-based algorithm. We identified clusters of similar profiles associated with various types of progression among 600 children from The Environmental Determinants of Diabetes in the Young (TEDDY) birth cohort study; these children developed persistent insulin autoantibodies (IAA), GAD autoantibodies (GADA), insulinoma-associated antigen 2 autoantibodies (IA-2A), or a combination of these, and they were followed up prospectively at 3- to 6-month intervals (median follow-up 6.5 years). Children who developed multiple autoantibody types (n = 370) were clustered, and progression from seroconversion to clinical diabetes within 5 years ranged between clusters from 6% (95% CI 0, 17.4) to 84% (59.2, 93.6). Children who seroconverted early in life (median age <2 years) and developed IAA and IA-2A that were stable-positive on follow-up had the highest risk of diabetes, and this risk was unaffected by GADA status. Clusters of children who lacked stable-positive GADA responses contained more boys and lower frequencies of the HLA-DR3 allele. Our novel algorithm allows refined grouping of β-cell autoantibody-positive children who distinctly progressed to clinical type 1 diabetes, and it provides new opportunities in searching for etiological factors and elucidating complex disease mechanisms.
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Affiliation(s)
- David Endesfelder
- Scientific Computing Research Unit, Helmholtz Zentrum München, Munich, Germany
| | - Wolfgang Zu Castell
- Scientific Computing Research Unit, Helmholtz Zentrum München, Munich, Germany
- Department of Mathematics, Technische Universität München, Munich, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies, Dresden, and Paul Langerhans Institute Dresden, Technische Universität Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Marian Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | | | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University Clinical Research Center, Skåne University Hospital, Malmo, Sweden
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Alistair J K Williams
- Diabetes and Metabolism, Translational Health Sciences, Southmead Hospital, University of Bristol, Bristol, U.K
| | - Liping Yu
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - Jeffrey P Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Anette-G Ziegler
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technische Universität München at Klinikum rechts der Isar, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Peter Achenbach
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technische Universität München at Klinikum rechts der Isar, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
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30
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Achenbach P, Hawa MI, Krause S, Lampasona V, Jerram ST, Williams AJK, Bonifacio E, Ziegler AG, Leslie RD. Autoantibodies to N-terminally truncated GAD improve clinical phenotyping of individuals with adult-onset diabetes: Action LADA 12. Diabetologia 2018; 61:1644-1649. [PMID: 29619531 PMCID: PMC6445455 DOI: 10.1007/s00125-018-4605-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Accepted: 03/08/2018] [Indexed: 11/28/2022]
Abstract
AIMS/HYPOTHESIS Adult-onset type 1 diabetes, in which the 65 kDa isoform of GAD (GAD65) is a major autoantigen, has a broad clinical phenotype encompassing variable need for insulin therapy. This study aimed to evaluate whether autoantibodies against N-terminally truncated GAD65 more closely defined a type 1 diabetes phenotype associated with insulin therapy. METHODS Of 1114 participants with adult-onset diabetes from the Action LADA (latent autoimmune diabetes in adults) study with sufficient sera, we selected those designated type 1 (n = 511) or type 2 diabetes (n = 603) and retested the samples in radiobinding assays for human full-length GAD65 autoantibodies (f-GADA) and N-terminally truncated (amino acids 96-585) GAD65 autoantibodies (t-GADA). Individuals' clinical phenotypes were analysed according to antibody binding patterns. RESULTS Overall, 478 individuals were f-GADA-positive, 431 were t-GADA-positive and 628 were negative in both assays. Risk of insulin treatment was augmented in t-GADA-positive individuals (OR 4.69 [95% CI 3.57, 6.17]) compared with f-GADA-positive individuals (OR 3.86 [95% CI 2.95, 5.06]), irrespective of diabetes duration. Of 55 individuals who were f-GADA-positive but t-GADA-negative, i.e. with antibody binding restricted to the N-terminus of GAD65, the phenotype was similar to type 2 diabetes with low risk of progression to insulin treatment. Compared with these individuals with N-terminal GAD65-restricted GADA, t-GADA-positive individuals were younger at diagnosis (p = 0.005), leaner (p < 0.0001) and more often had multiple diabetes-associated autoantibodies (28.3% vs 7.3%; p = 0.0005). CONCLUSIONS/INTERPRETATION In individuals with adult-onset diabetes, presence of N-terminally truncated GAD65 autoantibodies is associated with the clinical phenotype of autoimmune type 1 diabetes and predicts insulin therapy.
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Affiliation(s)
- Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764, Munich-Neuherberg, Germany.
- Forschergruppe Diabetes, Technische Universität München, at Klinikum rechts der Isar, Munich, Germany.
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
| | - Mohammed I Hawa
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK
| | - Stephanie Krause
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technische Universität München, at Klinikum rechts der Isar, Munich, Germany
| | - Vito Lampasona
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Samuel T Jerram
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK
| | - Alistair J K Williams
- Diabetes and Metabolism, School of Clinical Sciences, Southmead Hospital, University of Bristol, Bristol, UK
| | - Ezio Bonifacio
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- DFG Research Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, German Center for Diabetes Research (DZD), Technische Universität Dresden, Dresden, Germany
| | - Anette G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstrasse 1, 85764, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technische Universität München, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - R David Leslie
- Centre for Immunobiology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.
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31
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Wyatt RC, Brigatti C, Liberati D, Grace SL, Gillard BT, Long AE, Marzinotto I, Shoemark DK, Chandler KA, Achenbach P, Gillespie KM, Piemonti L, Lampasona V, Williams AJK. The first 142 amino acids of glutamate decarboxylase do not contribute to epitopes recognized by autoantibodies associated with Type 1 diabetes. Diabet Med 2018; 35:954-963. [PMID: 29577424 DOI: 10.1111/dme.13628] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/19/2018] [Indexed: 01/16/2023]
Abstract
AIMS Glutamate decarboxylase (GAD) antibodies are the most widely used predictive marker for Type 1 diabetes, but many individuals currently found to be GAD antibody-positive are unlikely to develop diabetes. We have shown previously that radioimmunoassays using N-terminally truncated 35 S-GAD65 (96-585) offer better disease specificity with similar sensitivity to full-length 35 S-GAD65 (1-585). To determine whether assay performance could be improved further, we evaluated a more radically truncated 35 S-GAD65 (143-585) radiolabel. METHODS Samples from people with recent-onset Type 1 diabetes (n = 157) and their first-degree relatives (n = 745) from the Bart's-Oxford family study of childhood diabetes were measured for GAD antibodies using 35 S-labelled GAD65 (143-585). These were screened previously using a local radioimmunoassay with 35 S-GAD65 (1-585). A subset was also tested by enzyme-linked immunosorbent assay (ELISA), which performs well in international workshops, but requires 10 times more serum. Results were compared with GAD antibody measurements using 35 S-GAD65 (1-585) and 35 S-GAD65 (96-585). RESULTS Sensitivity of GAD antibody measurement was maintained using 35 S-GAD65 (143-585) compared with 35 S-GAD65 (1-585) and 35 S-GAD65 (96-585). Specificity for Type 1 diabetes was improved compared with 35 S-GAD65 (1-585), but was similar to 35 S-GAD65 (96-585). Relatives found to be GAD antibody-positive using these truncated labels were at increased risk of diabetes progression within 15 years, compared with those positive for GAD(1-585) antibody only, and at similar risk to those found GAD antibody-positive by ELISA. CONCLUSIONS The first 142 amino acids of GAD65 do not contribute to epitopes recognized by Type 1 diabetes-associated GAD antibodies. Low-volume radioimmunoassays using N-terminally truncated 35 S-GAD65 are more specific than those using full-length GAD65 and offer practical alternatives to the GAD antibody ELISA for identifying children at increased risk of Type 1 diabetes.
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Affiliation(s)
- R C Wyatt
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | - C Brigatti
- Diabetes Research Institute, Milan, Italy
| | - D Liberati
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - S L Grace
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | - B T Gillard
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | - A E Long
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | | | - D K Shoemark
- School of Biochemistry, University of Bristol, Bristol, UK
| | - K A Chandler
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | - P Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - K M Gillespie
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
| | - L Piemonti
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - V Lampasona
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - A J K Williams
- Diabetes and Metabolism, Translational Health Sciences, University of Bristol, Bristol, UK
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32
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Gorus FK, Balti EV, Messaaoui A, Demeester S, Van Dalem A, Costa O, Dorchy H, Mathieu C, Van Gaal L, Keymeulen B, Pipeleers DG, Weets I. Twenty-Year Progression Rate to Clinical Onset According to Autoantibody Profile, Age, and HLA-DQ Genotype in a Registry-Based Group of Children and Adults With a First-Degree Relative With Type 1 Diabetes. Diabetes Care 2017; 40:1065-1072. [PMID: 28701370 DOI: 10.2337/dc16-2228] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 04/22/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We investigated whether islet autoantibody profile, HLA-DQ genotype, and age influenced a 20-year progression to diabetes from first autoantibody positivity (autoAb+) in first-degree relatives of patients with type 1 diabetes. RESEARCH DESIGN AND METHODS Persistently islet autoAb+ siblings and offspring (n = 462) under 40 years of age were followed by the Belgian Diabetes Registry. AutoAbs against insulin (IAA), GAD (GADA), IA-2 antigen (IA-2A), and zinc transporter 8 (ZnT8A) were determined by radiobinding assay. RESULTS The 20-year progression rate of multiple-autoAb+ relatives (n = 194) was higher than that for single-autoAb+ participants (n = 268) (88% vs. 54%; P < 0.001). Relatives positive for IAA and GADA (n = 54) progressed more slowly than double-autoAb+ individuals carrying IA-2A and/or ZnT8A (n = 38; P = 0.001). In multiple-autoAb+ relatives, Cox regression analysis identified the presence of IA-2A or ZnT8A as the only independent predictors of more rapid progression to diabetes (P < 0.001); in single-autoAb+ relatives, it identified younger age (P < 0.001), HLA-DQ2/DQ8 genotype (P < 0.001), and IAA (P = 0.028) as independent predictors of seroconversion to multiple positivity for autoAbs. In time-dependent Cox regression, younger age (P = 0.042), HLA-DQ2/DQ8 genotype (P = 0.009), and the development of additional autoAbs (P = 0.012) were associated with more rapid progression to diabetes. CONCLUSIONS In single-autoAb+ relatives, the time to multiple-autoAb positivity increases with age and the absence of IAA and HLA-DQ2/DQ8 genotype. The majority of multiple-autoAb+ individuals progress to diabetes within 20 years; this occurs more rapidly in the presence of IA-2A or ZnT8A, regardless of age, HLA-DQ genotype, and number of autoAbs. These data may help to refine the risk stratification of presymptomatic type 1 diabetes.
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Affiliation(s)
- Frans K Gorus
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Eric V Balti
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Anissa Messaaoui
- Department of Diabetology, Hôpital Universitaire des Enfants Reine Fabiola, Brussels, Belgium
| | - Simke Demeester
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Annelien Van Dalem
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Olivier Costa
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Harry Dorchy
- Department of Diabetology, Hôpital Universitaire des Enfants Reine Fabiola, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Luc Van Gaal
- Department of Endocrinology, Diabetology and Metabolism, Universitair Ziekenhuis Antwerpen, Antwerp, Belgium
| | - Bart Keymeulen
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium.,Department of Diabetology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | | | - Ilse Weets
- Diabetes Research Center, Vrije Universiteit Brussel, Brussels, Belgium .,Department of Clinical Chemistry, Universitair Ziekenhuis Brussel, Brussels, Belgium
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33
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Ma WT, Chang C, Gershwin ME, Lian ZX. Development of autoantibodies precedes clinical manifestations of autoimmune diseases: A comprehensive review. J Autoimmun 2017; 83:95-112. [PMID: 28739356 DOI: 10.1016/j.jaut.2017.07.003] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 06/30/2017] [Accepted: 07/01/2017] [Indexed: 12/21/2022]
Abstract
The etiology of autoimmune diseases is due to a combination of genetic predisposition and environmental factors that alter the expression of immune regulatory genes through various mechanisms including epigenetics. Both humoral and cellular elements of the adaptive immune system play a role in the pathogenesis of autoimmune diseases and the presence of autoantibodies have been detected in most but not all autoimmune diseases before the appearance of clinical symptoms. In some cases, the presence or levels of these autoantibodies portends not only the risk of developing a corresponding autoimmune disease, but occasionally the severity as well. This observation is intriguing because it suggests that we can, to some degree, predict who may or may not develop autoimmune diseases. However, the role of autoantibodies in the pathogenesis of autoimmune diseases, whether they actually affect disease progression or are merely an epiphenomenon is still not completely clear in many autoimmune diseases. Because of these gaps in our knowledge, the ability to accurately predict a future autoimmune disease can only be considered a relative risk factor. Importantly, it raises the critical question of defining other events that may drive a patient from a preclinical to a clinical phase of disease.
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Affiliation(s)
- Wen-Tao Ma
- Chronic Disease Laboratory, Institutes for Life Sciences and School of Medicine, South China University of Technology, Guangzhou 510006, China; Liver Immunology Laboratory, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China; College of Veterinary Medicine, Northwest Agriculture and Forestry University, Yangling 712100, China
| | - Christopher Chang
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis, Davis, CA, USA
| | - M Eric Gershwin
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis, Davis, CA, USA.
| | - Zhe-Xiong Lian
- Chronic Disease Laboratory, Institutes for Life Sciences and School of Medicine, South China University of Technology, Guangzhou 510006, China; Liver Immunology Laboratory, School of Life Sciences, University of Science and Technology of China, Hefei 230027, China; Innovation Center for Cell Signaling Network, Hefei National Laboratory for Physical Sciences at Microscale, Hefei, Anhui, China.
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34
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Beyerlein A, Strobl AN, Winkler C, Carpus M, Knopff A, Donnachie E, Ankerst DP, Ziegler AG. Vaccinations in early life are not associated with development of islet autoimmunity in type 1 diabetes high-risk children: Results from prospective cohort data. Vaccine 2017; 35:1735-1741. [PMID: 28268073 DOI: 10.1016/j.vaccine.2017.02.049] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/20/2017] [Accepted: 02/23/2017] [Indexed: 10/20/2022]
Abstract
AIMS/HYPOTHESIS Vaccinations in early childhood potentially stimulate the immune system and may thus be relevant for the pathogenesis of autoimmune diseases such as type 1 diabetes (T1D). We determined the association of vaccination burden with T1D-associated islet autoimmunity in children with high familial risk followed prospectively from birth. METHODS A total of 20,570 certified vaccination records from 1918 children were correlated with time to onset of T1D-associated islet autoimmunity using Cox regression, considering multiple time periods up until age two years and vaccination types, and adjusting for HLA genotype, sex, delivery mode, season of birth, preterm delivery and maternal T1D status. Additionally, prospective claims data of 295,420 subjects were used to validate associations for the tick-borne encephalitis (TBE) vaccination. RESULTS Most vaccinations were not associated with a significantly increased hazard ratio (HR) for islet autoimmunity (e.g. HR [95% confidence interval]: 1.08 [0.96-1.21] per additional vaccination against measles, mumps and rubella at age 0-24months). TBE vaccinations within the first two years of life were nominally associated with a significantly increased autoimmunity risk (HR: 1.44 [1.06-1.96] per additional vaccination at age 0-24months), but this could not be confirmed with respect to outcome T1D in the validation cohort (HR: 1.02 [0.90-1.16]). CONCLUSIONS We found no evidence that early vaccinations increase the risk of T1D-associated islet autoimmunity development. The potential association with early TBE vaccinations could not be confirmed in an independent cohort and appears to be a false positive finding.
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Affiliation(s)
- Andreas Beyerlein
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany; Forschergruppe Diabetes der Technischen Universität München, Munich, Germany
| | - Andreas N Strobl
- Department of Mathematics of the Technische Universität München, Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany; Forschergruppe Diabetes der Technischen Universität München, Munich, Germany
| | - Michaela Carpus
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany; Forschergruppe Diabetes der Technischen Universität München, Munich, Germany
| | - Annette Knopff
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany; Forschergruppe Diabetes der Technischen Universität München, Munich, Germany
| | - Ewan Donnachie
- Kassenärztliche Vereinigung Bayerns (Bavarian Association of Statutory Health Insurance Physicians), Munich, Germany
| | - Donna P Ankerst
- Department of Mathematics of the Technische Universität München, Munich, Germany; Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany; Forschergruppe Diabetes der Technischen Universität München, Munich, Germany.
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35
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Oikawa Y, Tanaka H, Uchida J, Atsumi Y, Osawa M, Katsuki T, Kawai T, Shimada A. Slowly progressive insulin-dependent (type 1) diabetes positive for anti-GAD antibody ELISA test may be strongly associated with a future insulin-dependent state. Endocr J 2017; 64:163-170. [PMID: 27760891 DOI: 10.1507/endocrj.ej16-0328] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Slowly progressive insulin-dependent (type 1) diabetes mellitus (SPIDDM), believed to be caused by β-cell destruction through islet-cell autoimmunity, gradually progresses to an insulin-dependent state over time. Although the presence of anti-glutamic acid decarboxylase antibody (GADA) is required for the diagnosis of SPIDDM, a recent change in the GADA assay kit from radioimmunoassay (RIA) to enzyme-linked immunosorbent assay (ELISA) yields mismatched GADA test results between the two kits, leading to confusion in understanding the pathological conditions of SPIDDM in Japan. Thus, this study aimed to clarify the difference in the clinical characteristics of GADA-ELISA-positive and GADA-ELISA-negative patients originally diagnosed as SPIDDM by GADA-RIA test. As a result, 42 of 63 original GADA-RIA-positive SPIDDM patients (66.7%) were found to be GADA-ELISA-positive, whereas the remaining 21 patients (33.3%) were found to be GADA-ELISA-negative. In patients with shorter disease duration, GADA-ELISA-positive patients showed significantly lower serum C-peptide levels than GADA-ELISA-negative patients. Meanwhile, in patients with longer disease duration, serum C-peptide levels were comparably decreased in GADA-ELISA-positive and GADA-ELISA-negative patients. A significant inverse correlation between serum C-peptide level and disease duration was observed in GADA-ELISA-negative patients, but not in GADA-ELISA-positive patients, suggesting that insulin secretory capacity may be gradually impaired over time also in GADA-ELISA-negative SPIDDM patients. In conclusion, physicians should be aware that GADA-ELISA-positive SPIDDM may be strongly associated with a future insulin-dependent state. Meanwhile, physicians should be careful in treating GADA-ELISA-negative SPIDDM patients diagnosed as type 2 DM, and cautiously follow the clinical course, in accordance with SPIDDM.
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Affiliation(s)
- Yoichi Oikawa
- Department of Internal Medicine, Tokyo Saiseikai Central Hospital, Tokyo 108-0073, Japan
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36
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von Toerne C, Laimighofer M, Achenbach P, Beyerlein A, de Las Heras Gala T, Krumsiek J, Theis FJ, Ziegler AG, Hauck SM. Peptide serum markers in islet autoantibody-positive children. Diabetologia 2017; 60:287-295. [PMID: 27815605 DOI: 10.1007/s00125-016-4150-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 10/05/2016] [Indexed: 01/13/2023]
Abstract
AIMS/HYPOTHESIS We sought to identify minimal sets of serum peptide signatures as markers for islet autoimmunity and predictors of progression rates to clinical type 1 diabetes in a case-control study. METHODS A double cross-validation approach was applied to first prioritise peptides from a shotgun proteomic approach in 45 islet autoantibody-positive and -negative children from the BABYDIAB/BABYDIET birth cohorts. Targeted proteomics for 82 discriminating peptides were then applied to samples from another 140 children from these cohorts. RESULTS A total of 41 peptides (26 proteins) enriched for the functional category lipid metabolism were significantly different between islet autoantibody-positive and autoantibody-negative children. Two peptides (from apolipoprotein M and apolipoprotein C-IV) were sufficient to discriminate autoantibody-positive from autoantibody-negative children. Hepatocyte growth factor activator, complement factor H, ceruloplasmin and age predicted progression time to type 1 diabetes with a significant improvement compared with age alone. CONCLUSION/INTERPRETATION Distinct peptide signatures indicate islet autoimmunity prior to the clinical manifestation of type 1 diabetes and enable refined staging of the presymptomatic disease period.
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Affiliation(s)
- Christine von Toerne
- Research Unit Protein Science, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764, München, Germany
| | - Michael Laimighofer
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Garching, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764, München, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Andreas Beyerlein
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764, München, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Tonia de Las Heras Gala
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Jan Krumsiek
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Garching, Germany
| | - Anette G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764, München, Germany.
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
- Forschergruppe Diabetes e.V., Neuherberg, Germany.
| | - Stefanie M Hauck
- Research Unit Protein Science, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, D-85764, München, Germany.
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Endesfelder D, Hagen M, Winkler C, Haupt F, Zillmer S, Knopff A, Bonifacio E, Ziegler AG, Zu Castell W, Achenbach P. A novel approach for the analysis of longitudinal profiles reveals delayed progression to type 1 diabetes in a subgroup of multiple-islet-autoantibody-positive children. Diabetologia 2016; 59:2172-80. [PMID: 27400691 DOI: 10.1007/s00125-016-4050-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2016] [Accepted: 06/15/2016] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS Progression to type 1 diabetes in children and adolescents is not uniform. Based on individual genetic background and environment, islet autoimmunity may develop at variable age, exhibit different autoantibody profiles and progress to clinical diabetes at variable rates. Here, we aimed to quantify the qualitative dynamics of sequential islet autoantibody profiles in order to identify longitudinal patterns that stratify progression rates to type 1 diabetes in multiple-autoantibody-positive children. METHODS Qualitative changes in antibody status on follow-up and progression rate to diabetes were analysed in 88 children followed from birth in the prospective BABYDIAB study who developed multiple autoantibodies against insulin (IAA), GAD (GADA), insulinoma-associated antigen-2 (IA-2A) and/or zinc transporter 8 (ZnT8A). An algorithm was developed to define similarities in sequential autoantibody profiles and hierarchical clustering was performed to group children with similar profiles. RESULTS We defined nine clusters that distinguished children with respect to their sequential profiles of IAA, GADA, IA-2A and ZnT8A. Progression from first autoantibody appearance to clinical diabetes between clusters ranged from 6% (95% CI [0, 16.4]) to 73% (28.4, 89.6) within 5 years. Delayed progression was observed in children who were positive for only two autoantibodies, and for a cluster of 12 children who developed three or four autoantibodies but were IAA-negative in their last samples, nine of whom lost IAA positivity during follow-up. Among all children who first seroconverted to IAA positivity and developed at least two other autoantibodies (n = 57), the 10 year risk of diabetes was 23% (0, 42.9) in those who became IAA-negative during follow-up compared with 76% (58.7, 85.6) in those who remained IAA-positive (p = 0.004). CONCLUSIONS/INTERPRETATION The novel clustering approach provides a tool for stratification of islet autoantibody-positive individuals that has prognostic relevance, and new opportunities in elucidating disease mechanisms. Our data suggest that losing IAA reactivity is associated with delayed progression to type 1 diabetes in multiple-islet-autoantibody-positive children.
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Affiliation(s)
- David Endesfelder
- Scientific Computing Research Unit, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
| | - Michael Hagen
- Scientific Computing Research Unit, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Florian Haupt
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Stephanie Zillmer
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Annette Knopff
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
| | - Ezio Bonifacio
- Forschergruppe Diabetes e.V., Neuherberg, Germany
- DFG Research Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, German Center for Diabetes Research (DZD), Technische Universität Dresden, Dresden, Germany
- Institute for Diabetes and Obesity, Helmholtz Zentrum München, Neuherberg, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Wolfgang Zu Castell
- Scientific Computing Research Unit, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
- Department of Mathematics, Technische Universität München, München, Germany.
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764, Neuherberg, Germany.
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, München, Germany.
- German Center for Diabetes Research (DZD), Neuherberg, Germany.
- Forschergruppe Diabetes e.V., Neuherberg, Germany.
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38
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Abstract
Islet autoantibodies are the main markers of pancreatic autoimmunity in type 1 diabetes (T1D). Islet autoantibodies recognize insulin (IAA), glutamic acid decarboxylase (GADA), protein phosphatase-like IA-2 (IA-2A), and ZnT8 (ZnT8A), all antigens that are found on secretory granules within pancreatic beta cells. Islet antibodies, measured by sensitive and specific liquid phase assays, are the key parameters of the autoimmune response monitored for diagnostics or prognostics in patients with T1D or for disease prediction in at-risk individuals before T1D onset. Islet autoantibodies have been the main tool used to explore the natural history of T1D; this review summarizes the current knowledge about the autoantigens and the phenotype of islets autoantibodies acquired in large prospective studies from birth in children at risk of developing T1D.
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Affiliation(s)
- Vito Lampasona
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132, Milano, Italy.
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132, Milano, Italy.
| | - Daniela Liberati
- Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132, Milano, Italy
- Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, via Olgettina 60, 20132, Milano, Italy
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Bingley PJ, Boulware DC, Krischer JP. The implications of autoantibodies to a single islet antigen in relatives with normal glucose tolerance: development of other autoantibodies and progression to type 1 diabetes. Diabetologia 2016; 59:542-9. [PMID: 26676824 PMCID: PMC4742489 DOI: 10.1007/s00125-015-3830-2] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 11/03/2015] [Indexed: 12/22/2022]
Abstract
AIMS/HYPOTHESIS Autoantibodies directed at single islet autoantigens are associated with lower overall risk of type 1 diabetes than multiple autoantibodies, but individuals with one autoantibody may progress to higher risk categories. We examined the characteristics of this progression in relatives followed prospectively in the TrialNet Pathway to Prevention. METHODS The study population comprised 983 relatives who were single autoantibody positive with normal baseline glucose tolerance (median age 16.2 years). Samples were screened for antibodies to GAD, insulinoma-associated antigen 2 (IA-2) and insulin, and all positive samples tested for antibodies to zinc transporter 8 and islet cell antibodies. RESULTS Antibodies to at least one additional islet autoantigen appeared in 118 of 983 relatives (overall 5 year risk 22%, 95% CI [17.9, 26.1]). At baseline, antibodies to GAD alone (68%) were more frequent than antibodies to insulin (26%) or IA-2 (6%), but all were associated with a similar risk of developing additional autoantibodies. Risk was associated with younger age (p = 0.002) and HLA class II genotype, but was similar in high and intermediate genetic risk groups (p = 0.65). Relatives who became multiple autoantibody positive during the follow-up had increased risk of developing diabetes comparable with the risk in relatives with multiple autoantibodies at study entry. CONCLUSIONS/INTERPRETATION Progression of islet autoimmunity in single autoantibody positive relatives in late childhood/adult life is associated with a predominance of autoantibodies to GAD and a distinct HLA risk profile. This heterogeneity in type 1 diabetes autoimmunity has potentially important implications for disease prevention.
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Affiliation(s)
- Polly J Bingley
- School of Clinical Sciences, University of Bristol, Learning and Research, Southmead Hospital, Bristol, BS10 5NB, UK.
| | - David C Boulware
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jeffrey P Krischer
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
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40
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Abstract
Type 1 diabetes (T1D) is a chronic inflammatory disease, caused by the immune mediated destruction of insulin-producing β-cells in the islets of the pancreas (Ziegler and Nepom, Immunity 32(4):468-478, 2010). Semiquantitative assays with high specificity and sensitivity for T1D are now available to detect antibodies to the four major islet autoantigens: glutamate decarboxylase (GADA) (Baekkeskov et al., Nature 347(6289):151-156, 1990), the protein tyrosine phosphatase-like proteins IA-2 (IA-2A) and IA-2β (Notkins et al., Diabetes Metab Rev 14(1):85-93, 1998), zinc transporter 8 (ZnT8A) (Wenzlau et al., Proc Natl Acad Sci U S A 104(43):17040-17045, 2007), and insulin (IAA) (Palmer, Diabetes Metab Rev 3(4):1005-1015, 1987). More than 85 % of cases of newly diagnosed or future T1D can be identified by testing for antibodies to GADA and/or IA-2A/IAA, with 98 % specificity (Bingley et al., Diabet Care 24(2):398, 2001). Overall, radioimmunoassay (RIA) is considered the de facto gold standard format for the measurement of T1D autoantibodies (Bottazzo et al., Lancet 2(7892):1279-1283, 1974; Schlosser et al., Diabetologia 53(12):2611-2620, 2010). Here we describe current methods for autoantibody measurement using RIA. These fluid phase assays use radiolabeled ligands and immunoprecipitation to quantify autoantibodies to GAD, IA-2, ZnT8, and insulin (Bonifacio et al., J Clin Endocrinol Metab 95(7):3360-3367, 2010; Long et al., Clin Endocrinol Metab 97(2):632-637, 2012; Williams et al., J Autoimmun 10(5):473-478, 1997).
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Affiliation(s)
- Rebecca Wyatt
- Diabetes and Metabolism Unit, School of Clinical Sciences, Southmead Hospital, University of Bristol, Bristol, UK
| | - Alistair J K Williams
- Diabetes and Metabolism Unit, School of Clinical Sciences, Southmead Hospital, University of Bristol, Bristol, UK.
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41
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Giannopoulou EZ, Winkler C, Chmiel R, Matzke C, Scholz M, Beyerlein A, Achenbach P, Bonifacio E, Ziegler AG. Islet autoantibody phenotypes and incidence in children at increased risk for type 1 diabetes. Diabetologia 2015; 58:2317-23. [PMID: 26138334 DOI: 10.1007/s00125-015-3672-y] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 05/31/2015] [Indexed: 12/11/2022]
Abstract
AIMS/HYPOTHESIS Autoantibodies that precede type 1 diabetes frequently develop in early childhood and target distinct beta cell proteins. The aim of this study was to determine the heterogeneity of islet autoantibody development and fate. METHODS The ages of development of insulin autoantibodies (IAA) and GAD autoantibodies (GADA), followed by multiple islet autoantibodies and progression to diabetes were examined in 2,441 children participating in two German birth cohorts. RESULTS In 218 children who developed islet autoantibodies, the first islet autoantibody-positive sample was characterised by single IAA in 80 (37%), multiple islet autoantibodies in 68 (31%) and single GADA in 63 (29%) children. Of the children who were single antibody positive at seroconversion, 35 (44%) IAA-positive and 15 (24%) GADA-positive children developed multiple islet autoantibodies. Single persistent antibodies had heterogeneous affinities; GADA were also heterogeneous in their binding to N-terminally truncated GAD65 and in an ELISA. Progression to diabetes occurred in >50% of children within 10 years in all groups that developed multiple islet autoantibodies and in 44% of children with persistent single high-affinity IAA or persistent single GADA that were positive in both a radiobinding assay and ELISA. The earliest autoantibody development was seen in children with single IAA that progressed to multiple islet autoantibodies or in those with persistent high-affinity single IAA, with a sharp peak in incidence observed at age 9 months. The peak incidence occurred at age 2 years for children who underwent seroconversion directly to multiple islet autoantibodies and at 5 years for children who first seroconverted to GADA and subsequently developed other autoantibodies. Seroconversion to low-affinity IAA or persistent single GADA occurred at a low incidence after the age of 9 months. CONCLUSIONS/INTERPRETATION Children of different ages have differing susceptibilities to autoimmunisation against specific beta cell autoantigens.
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Affiliation(s)
- Eleni Z Giannopoulou
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Ruth Chmiel
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Claudia Matzke
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Marlon Scholz
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Andreas Beyerlein
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
- Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität, Dresden, Germany
- Paul Langerhans Institute of the Helmholtz Zentrum München at University Clinic Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute of Diabetes and Obesity, Helmholtz Zentrum München, Neuherberg, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany.
- Forschergruppe Diabetes e.V., Neuherberg, Germany.
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42
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Williams AJK, Lampasona V, Wyatt R, Brigatti C, Gillespie KM, Bingley PJ, Achenbach P. Reactivity to N-Terminally Truncated GAD65(96-585) Identifies GAD Autoantibodies That Are More Closely Associated With Diabetes Progression in Relatives of Patients With Type 1 Diabetes. Diabetes 2015; 64:3247-52. [PMID: 26001397 DOI: 10.2337/db14-1694] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 05/18/2015] [Indexed: 11/13/2022]
Abstract
GAD autoantibodies (GADAs) identify individuals at increased risk of developing type 1 diabetes, but many people currently found to be GADA positive are unlikely to progress to clinical disease. More specific GADA assays are therefore needed. Recent international workshops have shown that the reactivity of sera from healthy donors varies according to assay type and indicated that the use of N-terminally truncated GAD65 radiolabels in GADA radiobinding assays is associated with higher specificity. To determine whether a radiobinding assay using radiolabeled GAD65(96-585) identified individuals who are at higher risk of developing diabetes, samples from recent-onset patients and GADA-positive first-degree relatives participating in the Bart's-Oxford type 1 diabetes family study were reassayed with full-length or N-terminally truncated GAD using the National Institute of Diabetes and Digestive and Kidney Diseases harmonized protocol. The sensitivity in patients was the same with both labels, but fewer relatives retested positive with truncated GAD. Among relatives who progressed to diabetes, similar proportions were found to be GADA positive when tested with either label, but because of their higher specificity the cumulative risk of diabetes was higher in those with autoantibodies to GAD65(96-585). Autoantibodies to GAD65(96-585) in relatives are more closely associated with diabetes risk than those to full-length GAD, suggesting that assays using N-terminally truncated GAD should be used to select participants for intervention trials.
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Affiliation(s)
| | - Vito Lampasona
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Rebecca Wyatt
- School of Clinical Sciences, University of Bristol, Bristol, U.K
| | - Cristina Brigatti
- Diabetes Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | | | - Polly J Bingley
- School of Clinical Sciences, University of Bristol, Bristol, U.K
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
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43
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Williams AJK, Lampasona V, Schlosser M, Mueller PW, Pittman DL, Winter WE, Akolkar B, Wyatt R, Brigatti C, Krause S, Achenbach P. Detection of Antibodies Directed to the N-Terminal Region of GAD Is Dependent on Assay Format and Contributes to Differences in the Specificity of GAD Autoantibody Assays for Type 1 Diabetes. Diabetes 2015; 64:3239-46. [PMID: 25972570 PMCID: PMC4542444 DOI: 10.2337/db14-1693] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 05/07/2015] [Indexed: 11/13/2022]
Abstract
GAD autoantibodies (GADAs) are sensitive markers of islet autoimmunity and type 1 diabetes. They form the basis of robust prediction models and are widely used for the recruitment of subjects at high risk of type 1 diabetes to prevention trials. However, GADAs are also found in many individuals at low risk of diabetes progression. To identify the sources of diabetes-irrelevant GADA reactivity, we analyzed data from the 2009 and 2010 Diabetes Autoantibody Standardization Program GADA workshop and found that binding of healthy control sera varied according to assay type. The characterization of control sera found positive by radiobinding assay (RBA), but negative by ELISA, showed that many of these sera reacted to epitopes in the N-terminal region of the molecule. This finding prompted development of an N-terminally truncated GAD65 radiolabel, (35)S-GAD65(96-585), which improved the performance of most GADA RBAs participating in an Islet Autoantibody Standardization Program GADA substudy. These detailed workshop comparisons have identified a source of disease-irrelevant signals in GADA RBAs and suggest that N-terminally truncated GAD labels will enable more specific measurement of GADAs in type 1 diabetes.
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Affiliation(s)
| | - Vito Lampasona
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, Italy
| | - Michael Schlosser
- Department of Medical Biochemistry and Molecular Biology and Institute of Pathophysiology, University Medical Center of Greifswald, Karlsburg, Germany
| | - Patricia W Mueller
- Molecular Risk Assessment Laboratory, Centers for Disease Control and Prevention, Atlanta, GA
| | - David L Pittman
- Department of Pathology, University of Florida, Gainesville, FL
| | | | - Beena Akolkar
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - Rebecca Wyatt
- School of Clinical Sciences, University of Bristol, Bristol, U.K
| | - Cristina Brigatti
- Diabetes Research Institute, San Raffaele Scientific Institute, Milan, Italy
| | - Stephanie Krause
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany
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44
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Abstract
Clinical type 1 diabetes is preceded by an asymptomatic phase that can be identified by serum islet autoantibodies. This perspective proposes that there is now sufficient evidence to allow a broader use of islet autoantibodies as biomarkers to diagnose type 1 diabetes that is already at an asymptomatic stage, so that attempts to prevent clinical hyperglycemia become a feature of disease management. Prediction would first, therefore, shift toward the use of genetic and other biomarkers to determine the likelihood that islet autoimmunity will develop in an infant, and second, toward metabolic assessment to stage and biomarkers to determine the rate of progression to hyperglycemia in children in whom islet autoimmunity is diagnosed. A case is presented for future comprehensive risk assessment that commences at birth and includes attempts to predict, stage, and prevent initiation and progression of the disease process at multiple stages. The biomarkers required achieving this level of sophistication and dissemination are discussed.
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Affiliation(s)
- Ezio Bonifacio
- DFG-Center for Regenerative Therapies Dresden, and Faculty of Medicine, Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Paul Langerhans Institute Dresden of the Helmholtz Centre Munich at University Clinic Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany; Forschergruppe Diabetes e.V., Neuherberg, Germany; and Institute of Diabetes and Obesity (IDO), Helmholtz Zentrum München, Neuherberg, Germany
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45
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Zdziarski P. A Case of Stiff Person Syndrome: Immunomodulatory Effect of Benzodiazepines: Successful Rituximab and Tizanidine Therapy. Medicine (Baltimore) 2015; 94:e954. [PMID: 26061327 PMCID: PMC4616492 DOI: 10.1097/md.0000000000000954] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Stiff person syndrome (SPS) is a rare autoimmune disease. Most patients have high-titer antibodies against glutamate decarboxylase (GADAb), which is without practical value in disease monitoring. Benzodiazepines are the first line drugs, but long-term use is not well characterized. This report demonstrates ineffective benzodiazepine therapy of SPS that prompts tachyphylaxis, loss of responsiveness, and finally benzodiazepine withdrawal syndrome. Convulsion and anxiety correlate with high level of creatine phosphokinase (CK). Although tonus and spasm attacks were successfully controlled by tizanidine, glutamate release inhibitor, the immune response, and autoimmune diabetes development require the plasmapheresis, mycophenolat mofetil, and rituximab therapy that results in a significant decrease of GADAb, impaired glucose tolerance (IGT), lactate dehydrogenase (LDH), and CK normalization. Unfortunately, reintroduction of benzodiazepine was a source of rapid and high increase of CK, LDH, GADAb titer (up to 1:15,000), IGT, and SPS relapse. Contrary to previous publications, we observed IGT that correlated with high anti-GAD level, but without high immunogenetic susceptibility to haplotype human leukocyte antigens-DR3, DQw2. This preliminary observation and the last finding of immunomodulatory properties of peripheral benzodiazepine receptor suggest that increased antigenic stimulation during benzodiazepine therapy and glutamatergic hyperactivity could account for convulsions observed in SPS. Benzodiazepine withdrawal prompted alternative muscle relaxant therapy (tizanidine). Muscular and brain abnormalities observed in SPS indicate that noncardiac CK level may be a useful tool in SPS therapy monitoring.
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Affiliation(s)
- Przemyslaw Zdziarski
- From the Department of Clinical Immunology, Lower Silesian Center for Cellular Transplantation, Wroclaw, Poland
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46
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Skärstrand H, Krupinska E, Haataja TJK, Vaziri-Sani F, Lagerstedt JO, Lernmark Å. Zinc transporter 8 (ZnT8) autoantibody epitope specificity and affinity examined with recombinant ZnT8 variant proteins in specific ZnT8R and ZnT8W autoantibody-positive type 1 diabetes patients. Clin Exp Immunol 2015; 179:220-9. [PMID: 25178386 PMCID: PMC4298399 DOI: 10.1111/cei.12448] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2014] [Indexed: 02/06/2023] Open
Abstract
Variant-specific zinc transporter 8 autoantibodies (ZnT8A) against either arginine (R) or tryptophan (W) at amino acid (aa) position 325 of the zinc transporter 8 (ZnT8) has been identified in type 1 diabetes (T1D) patients. Reciprocal cross-over tests revealed differences in half-maximal binding to indicate variable affinity of patient ZnT8 autoantibodies. Insufficient recombinant ZnT8 variant proteins have precluded detailed analyses of ZnT8 autoantibody affinity. The aims in the present study were to (i) generate recombinant ZnT8R- and ZnT8W-aa275-369 proteins; (ii) test the ZnT8R- and ZnT8W-aa275-369 proteins in reciprocal competitive radiobinding assays (RBA) against ZnT8R- and ZnT8W-aa268-369 labelled with (35) S-methionine; and (iii) determine the specificity and affinity of sera specific for either ZnT8 arginine (R) or ZnT8 tryptophan (W) autoantibodies in newly diagnosed T1D patients. The results demonstrate, first, that it was possible to produce recombinant human MBP-ZnT8-aa275-369 protein purified to homogeneity for RBA reciprocal competition experiments. Secondly, high-titre ZnT8WA sera diluted to half maximal binding showed significant specificity for respective variants of either ZnT8R or ZnT8W. Thirdly, ZnT8WA-positive sera showed high affinity for ZnT8W compared to ZnT8RA for ZnT8R. These data demonstrate that T1D patients may have single amino acid-specific autoantibodies directed against either ZnT8R or ZnT8W and that the autoantibody affinity to the respective variant may be different. Further studies are needed to assess the mechanisms by which variant-specific ZnT8A of variable affinity develop and their possible role in the pathogenic process leading to the clinical onset of T1D.
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Affiliation(s)
- H Skärstrand
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
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Li X, Liu L, Xiang Y, Huang G, Leslie RD, Zhou Z. Response to comment on Liu et al. Latent autoimmune diabetes in adults with low-titer GAD antibodies: similar disease progression with type 2 diabetes: a nationwide, multicenter prospective study (LADA China Study 3). Diabetes Care 2015;38:16-21. Diabetes Care 2015; 38:e44. [PMID: 25715425 DOI: 10.2337/dc14-2861] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Xia Li
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Lingjiao Liu
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Yufei Xiang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Gan Huang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - R David Leslie
- Department of Diabetes and Metabolic Medicine, Blizard Institute, London, U.K
| | - Zhiguang Zhou
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
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Miao D, Steck AK, Zhang L, Guyer KM, Jiang L, Armstrong T, Muller SM, Krischer J, Rewers M, Yu L. Electrochemiluminescence assays for insulin and glutamic acid decarboxylase autoantibodies improve prediction of type 1 diabetes risk. Diabetes Technol Ther 2015; 17:119-27. [PMID: 25562486 PMCID: PMC4321773 DOI: 10.1089/dia.2014.0186] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
We recently developed new electrochemiluminescence (ECL) insulin autoantibody (IAA) and glutamic acid decarboxylase 65 autoantibody (GADA) assays that discriminate high-affinity, high-risk diabetes-specific autoantibodies from low-affinity, low-risk islet autoantibodies (iAbs) detected by radioassay (RAD). Here, we report a further validation of the ECL-IAA and -GADA assays in 3,484 TrialNet study participants. The ECL assay and RAD were congruent in those with prediabetes and in subjects with multiple autoantibodies, but only 24% (P<0.0001) of single RAD-IAA-positive and 46% (P<0.0001) of single RAD-GADA-positive were confirmed by the ECL-IAA and -GADA assays, respectively. During a follow-up (mean, 2.4 years), 51% of RAD-IAA-positive and 63% of RAD-GADA-positive subjects not confirmed by ECL became iAb negative, compared with only 17% of RAD-IAA-positive (P<0.0001) and 15% of RAD-GADA-positive (P<0.0001) subjects confirmed by ECL assays. Among subjects with multiple iAbs, diabetes-free survival was significantly shorter if IAA or GADA was positive by ECL and negative by RAD than if IAA or GADA was negative by ECL and positive by RAD (P<0.019 and P<0.0001, respectively). Both positive and negative predictive values in terms of progression to type 1 diabetes mellitus were superior for ECL-IAA and ECL-GADA, compared with RADs. The prevalence of the high-risk human leukocyte antigen-DR3/4, DQB1*0302 genotype was significantly higher in subjects with RAD-IAA or RAD-GADA confirmed by ECL. In conclusion, both ECL-IAA and -GADA are more disease-specific and better able to predict the risk of progression to type 1 diabetes mellitus than the current standard RADs.
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Affiliation(s)
- Dongmei Miao
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Andrea K. Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Li Zhang
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - K. Michelle Guyer
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Ling Jiang
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Taylor Armstrong
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | | | | | - Marian Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
| | - Liping Yu
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, Colorado
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Woittiez NJC, Roep BO. Impact of disease heterogeneity on treatment efficacy of immunotherapy in Type 1 diabetes: different shades of gray. Immunotherapy 2015; 7:163-74. [DOI: 10.2217/imt.14.104] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Type 1 diabetes results from selective destruction of insulin-producing pancreatic β-cells by a progressive autoimmune process. Type 1 diabetes proves very heterogeneous in pathology, disease progression and efficacy of therapeutic intervention. Indeed, several immunotherapies that appear ineffective for the entire treated patient population in fact look promising in subgroups of patients. It therefore seems inconceivable that one standard therapy will provide the golden bullet of disease intervention. Instead, personalized medicine may improve immune intervention efficacy rates. We discuss the effect of disease heterogeneity on treatment outcome of immunotherapies, identifying apparent gaps in our understanding of treatment efficacy in subgroups of Type 1 diabetic patients as well as identifying future opportunities for immunotherapy.
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Affiliation(s)
- Nicky JC Woittiez
- Department of Immunohematology & Blood Transfusion, Leiden University Medical Center, E3-Q, LUMC, PO Box 9600, NL-2300RC Leiden, The Netherlands
| | - Bart O Roep
- Department of Immunohematology & Blood Transfusion, Leiden University Medical Center, E3-Q, LUMC, PO Box 9600, NL-2300RC Leiden, The Netherlands
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Liu L, Li X, Xiang Y, Huang G, Lin J, Yang L, Zhao Y, Yang Z, Hou C, Li Y, Liu J, Zhu D, Leslie RD, Wang X, Zhou Z. Latent autoimmune diabetes in adults with low-titer GAD antibodies: similar disease progression with type 2 diabetes: a nationwide, multicenter prospective study (LADA China Study 3). Diabetes Care 2015; 38:16-21. [PMID: 25336751 DOI: 10.2337/dc14-1770] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study investigated the relationship between GAD autoantibody (GADA) titers and changing of β-cell function in patients with latent autoimmune diabetes in adults (LADA). RESEARCH DESIGN AND METHODS This 3-year prospective study enrolled 95 subjects from 15 Chinese cities including 25 high-titer (GADA ≥180 units/mL) LADA patients, 42 low-titer (GADA <180 units/mL) LADA patients, and 28 type 2 diabetic patients, the latter two groups as controls of similar age, sex, and BMI. Clinical characteristics were determined annually, including glycosylated hemoglobin (HbA1c), fasting C-peptide (FCP), and 2-h postprandial C-peptide (PCP). RESULTS Despite similar initial FCP and PCP, FCP and PCP both decreased more in subjects with high GADA titer (FCP from mean 0.49 nmol/L at entry to 0.13 nmol/L at the third year; P < 0.05) than with low GADA titer (FCP from mean 0.48 to 0.38 nmol/L) and type 2 diabetes (FCP from mean 0.47 to 0.36 nmol/L); the latter two groups being similar. After 3 years, residual β-cell function (FCP >0.2 nmol/L) was detected in only 42% with an initial high GADA titer compared with 90% with a low GADA titer and 97% with type 2 diabetes (P < 0.01 for both). GADA positivity at the third year persisted more in subjects with initially high GADA (92%) than with low GADA (26%) titers (P < 0.01). CONCLUSIONS In selected LADA patients, initial GADA titers identified subjects with different degrees of persistent autoimmunity and disease progression. LADA patients with a low GADA titer had metabolic phenotypes and loss of β-cell function similar to type 2 diabetic patients.
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Affiliation(s)
- Lingjiao Liu
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Xia Li
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Yufei Xiang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Gan Huang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Jian Lin
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Lin Yang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Yunjuan Zhao
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Zhifang Yang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Can Hou
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Yijun Li
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Jie Liu
- Department of Endocrinology and Metabolism, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Dalong Zhu
- Department of Endocrinology and Metabolism, Nanjing University affiliated Nanjing Drum Tower Hospital, Nanjing, China
| | - R David Leslie
- Department of Diabetes and Metabolic Medicine, Blizard Institute, London, U.K
| | - Xiangbing Wang
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
| | - Zhiguang Zhou
- Institute of Metabolism and Endocrinology, The Second Xiangya Hospital and the Diabetes Center, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, Central South University, National Clinical Research Center for Metabolic Diseases, Changsha, Hunan, China
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