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Seroconversion to Multiple Islet Autoantibodies and Risk of Progression to Diabetes in Children
Open accessAbstract
IMPORTANCE: Type 1 diabetes usually has a preclinical phase identified by circulating islet autoantibodies, but the rate of progression to diabetes after seroconversion to islet autoantibodies is uncertain. OBJECTIVE: To determine the rate of progression to diabetes after islet autoantibody seroconversion. DESIGN, SETTING, AND PARTICIPANTS: Data were pooled from prospective cohort studies performed in Colorado (recruitment, 1993-2006), Finland (recruitment, 1994-2009), and Germany (recruitment, 1989-2006) examining children genetically at risk for type 1 diabetes for the development of insulin autoantibodies, glutamic acid decarboxylase 65 (GAD65) autoantibodies, insulinoma antigen 2 (IA2) autoantibodies, and diabetes. Participants were all children recruited and followed up in the 3 studies (Colorado, 1962; Finland, 8597; Germany, 2818). Follow-up assessment in each study was concluded by July 2012. MAIN OUTCOMES AND MEASURES: The primary analysis was the diagnosis of type 1 diabetes in children with 2 or more autoantibodies. The secondary analysis was the diagnosis of type 1 diabetes in children with 1 autoantibody or no autoantibodies. RESULTS: Progression to type 1 diabetes at 10-year follow-up after islet autoantibody seroconversion in 585 children with multiple islet autoantibodies was 69.7% (95% CI, 65.1%-74.3%), and in 474 children with a single islet autoantibody was 14.5% (95% CI, 10.3%-18.7%). Risk of diabetes in children who had no islet autoantibodies was 0.4% (95% CI, 0.2%-0.6%) by the age of 15 years. Progression to type 1 diabetes in the children with multiple islet autoantibodies was faster for children who had islet autoantibody seroconversion younger than age 3 years (hazard ratio [HR], 1.65 [95% CI, 1.30-2.09; P < .001]; 10-year risk, 74.9% [95% CI, 69.7%-80.1%]) vs children 3 years or older (60.9% [95% CI, 51.5%-70.3%]); for children with the human leukocyte antigen (HLA) genotype DR3/DR4-DQ8 (HR, 1.35 [95% CI, 1.09-1.68; P = .007]; 10-year risk, 76.6% [95% CI, 69.2%-84%]) vs other HLA genotypes (66.2% [95% CI, 60.2%-72.2%]); and for girls (HR, 1.28 [95% CI, 1.04-1.58; P = .02];10-year risk, 74.8% [95% CI, 68.0%-81.6%]) vs boys (65.7% [95% CI, 59.3%-72.1%]). CONCLUSIONS AND RELEVANCE: The majority of children at risk of type 1 diabetes who had multiple islet autoantibody seroconversion progressed to diabetes over the next 15 years. Future prevention studies should focus on this high-risk population.
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“The presence of multiple islet autoantibodies (IAA, GADA, IA-2A/IA-2bA, or ZnT8A) is associated with a risk of type 1 diabetes of >90% (408,422,423).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [408]
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“Most people with a single autoantibody do not progress to type 1 diabetes, but seroconversion to the presence of two or more serum autoantibodies in children is associated with an 84% risk of clinical type 1 diabetes by the age of 18 years (figure 2A).16”
From Type 1 diabetes (2018) · cites this paper as [16]
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“Because of the low prevalence of type 1 diabetes (approximately 0.3% in the general population), the positive predictive value of a single islet autoantibody is low (408).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [408]
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“Most individuals without diabetes who have only one autoantibody will not develop type 1 diabetes, as the 10-year risk is about 15% (408).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [408]
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“It is clear from prospective studies that the persistent presence of two or more islet autoantibodies is a nearcertain predictor of clinical diabetes (42).”
From 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2024 (2024) · cites this paper as [42]
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“Of the 585 children who developed more than two autoantibodies, nearly 70% developed type 1 diabetes within 10 years and 84% within 15 years (42).”
From 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2024 (2024) · cites this paper as [42]
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“It is clear from prospective studies that the persistent presence of two or more islet autoantibodies is a near-certain predictor of clinical diabetes (40).”
From 2. Diagnosis and classification of diabetes: standards of care in diabetes-2025 (2025) · cites this paper as [40]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Of the 585 children who developed more than two autoantibodies, nearly 70% developed type 1 diabetes within 10 years and 84% within 15 years (40).”
From 2. Diagnosis and classification of diabetes: standards of care in diabetes-2025 (2025) · cites this paper as [40]
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“A seminal analysis of four different birth cohorts from the USA, Finland and Germany demonstrated that the presence of a single islet autoantibody is associated with a 13% risk of developing type 1 diabetes over 15 years. In contrast, having two or more antibodies is associated with a 70% risk over 10 years of observation and an 84% risk over 15 years63.”
From 100 years of insulin: celebrating the past, present and future of diabetes therapy (2021) · cites this paper as [63]
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“However, studies of the offspring of people with diabetes show that young children with multiple autoantibodies develop diabetes during childhood [ 12 ]”
From Islet autoantibody profiles associated with higher diabetes risk in Lithuanian compared with English schoolchildren (2020) · cites this paper as [12]
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“In children with only one persistent islet autoantibody, the risk of diabetes within 10 years is 15% while two or more islet autoantibodies predict type 1 diabetes in 70% within 10 years (408,409).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [408]
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Cites
Eisenbarth (1986) · doi:10.1056/nejm198605223142106 · Cited by 1,659
Self-citationEffects of insulin in relatives of patients with type 1 diabetes mellitus
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012350 · Cited by 836
Ziegler, A., Hummel, M., Schenker, M., & Bonifacio, E. E. (1999) · Diabetes · doi:10.2337/diabetes.48.3.460 · Cited by 640
Self-citationGale, E. A. (2004) · The Lancet · doi:10.1016/s0140-6736(04)15786-3 · Cited by 534
Rewers, M., Bugawan, T. L., Norris, J. M., Blair, A., Beaty, B., Hoffman, M., McDuffie, R. S., Hamman, R. F., Klingensmith, G., Eisenbarth, G. S., et al. (1996) · Diabetologia · doi:10.1007/s001250050514 · Cited by 422
Self-citationNäntö-Salonen, K., Kupila, A., Simell, S., Siljander, H., Salonsaari, T., Hekkala, A., Korhonen, S., Erkkola, R., Sipilä, J. I., Haavisto, L., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61309-4 · Cited by 382
Self-citationQuantification of islet-cell antibodies and prediction of insulin-dependent diabetes
Bonifacio, E. E., Shattock, M., Dean, B. M., Bottazzo, G. F., Bingley, P. J., Gale, E., & Dunger, D. B. (1990) · The Lancet · doi:10.1016/0140-6736(90)90013-u · Cited by 344
Self-citationStratification of Type 1 Diabetes Risk on the Basis of Islet Autoantibody Characteristics
Achenbach, P., Warncke, K., Reiter, J., Naserke, H. E., Williams, A. J. K., Bingley, P. J., Bonifacio, E. E., & Ziegler, A. (2004) · Diabetes · doi:10.2337/diabetes.53.2.384 · Cited by 276
Self-citationOrban, T., Sosenko, J. M., Cuthbertson, D., Krischer, J. P., Skyler, J. S., Jackson, R., Yu, L., Palmer, J. P., Schatz, D., Eisenbarth, G., et al. (2009) · Diabetes Care · doi:10.2337/dc09-0934 · Cited by 260
Self-citationPREDICTING INSULIN-DEPENDENT DIABETES
Tarn, A., Dean, B., Schwarz, G., Thomas, J. M., Ingram, D., Bottazzo, G. F., & Gale, E. M. (1988) · The Lancet · doi:10.1016/s0140-6736(88)91601-7 · Cited by 260
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OGTT and random plasma glucose in the prediction of type 1 diabetes and time to diagnosis
Helminen, O., Aspholm, S., Pokka, T. M.-L., Ilonen, J., Simell, O., Veijola, R., & Knip, M. (2015) · Diabetologia · doi:10.1007/s00125-015-3621-9 · Cited by 57
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Liberati, D., Wyatt, R. C., Brigatti, C., Marzinotto, I., Ferrari, M., Bazzigaluppi, E., Bosi, E., Gillard, B. T., Gillespie, K. M., Gorus, F., et al. (2018) · Acta Diabetologica · doi:10.1007/s00592-017-1082-y · Cited by 57
Steck, A. K., Larsson, H. E., Liu, X., Veijola, R., Toppari, J., Hagopian, W. A., Haller, M. J., Ahmed, S., Akolkar, B., Lernmark, Å., et al. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12485 · Cited by 56
Self-citationDe Jesus, D. F., Zhang, Z., Brown, N. K., Li, X., Xiao, L., Hu, J., Gaffrey, M. J., Fogarty, G., Kahraman, S., Wei, J., et al. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01368-0 · Cited by 56
Metabolic alterations in immune cells associate with progression to type 1 diabetes
Sen, P., Dickens, A. M., López-Bascón, M. A., Lindeman, T., Kemppainen, E., Lamichhane, S., Rönkkö, T., Ilonen, J., Toppari, J., Veijola, R., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05107-6 · Cited by 56
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Lamichhane, S., Sen, P., Dickens, A. M., Alves, M. A., Härkönen, T., Honkanen, J. K., Vatanen, T., Xavier, R. J., Hyötyläinen, T., Knip, M., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100762 · Cited by 58
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Bonifacio, E. E., Weiß, A., Winkler, C., Hippich, M., Rewers, M., Toppari, J., Lernmark, Å., She, J., Hagopian, W., Krischer, J. P., et al. (2021) · Diabetes Care · doi:10.2337/dc20-2122 · Cited by 57
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Ross, C., Ward, Z. J., Gomber, A., Owais, M., Yeh, J. M., Reddy, C.-L., & Atun, R. A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.815703 · Cited by 52
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Self-citationPöllänen, P. M., Lempainen, J., Laine, A., Toppari, J., Veijola, R., Vähäsalo, P., Ilonen, J., Siljander, H., & Knip, M. (2017) · Diabetologia · doi:10.1007/s00125-017-4258-7 · Cited by 51
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Chmiel, R., Giannopoulou, E. Z., Winkler, C., Achenbach, P., Ziegler, A., & Bonifacio, E. E. (2014) · Diabetologia · doi:10.1007/s00125-014-3443-1 · Cited by 50
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Orešič, M., McGlinchey, A. J., Wheelock, C. E., & Hyötyläinen, T. (2020) · Metabolites · doi:10.3390/metabo10110454 · Cited by 52
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Self-citationKrause, S., Landherr, U., Agardh, C., Hausmann, S., Link, K., Hansen, J. M., Lynch, K. F., Powell, M. J., Furmaniak, J., Rees-Smith, B., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1719 · Cited by 47
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Marca, V. L., Gianchecchi, E., & Fierabracci, A. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19030794 · Cited by 46
Lund‐Blix, N. A., Dong, F., Mårild, K., Seifert, J. A., Barón, A. E., Waugh, K., Joner, G., Størdal, K., Tapia, G., Stene, L. C., et al. (2019) · Diabetes Care · doi:10.2337/dc18-2315 · Cited by 49
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Ke, Q., Kroger, C. J., Clark, M., & Tisch, R. M. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.624568 · Cited by 44
Benkahla, M. A., Sabouri, S., Kiosses, W. B., Rajendran, S. H., Quesada‐Masachs, E., & von Herrath, M. G. (2021) · Journal of Autoimmunity · doi:10.1016/j.jaut.2021.102628 · Cited by 42
Wiberg, A., Granstam, A., Ingvast, S., Härkönen, T., Knip, M., Korsgren, O., & Skog, O. (2015) · Clinical & Experimental Immunology · doi:10.1111/cei.12698 · Cited by 45
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Ashton, M. P., Eugster, A., Walther, D., Daehling, N., Riethausen, S., Kuehn, D., Klingel, K., Beyerlein, A., Zillmer, S., Ziegler, A., et al. (2016) · Scientific Reports · doi:10.1038/srep32899 · Cited by 43
Self-citationStrollo, R., Vinci, C., Napoli, N., Pozzilli, P., Ludvigsson, J., & Nissim, A. (2017) · Diabetologia · doi:10.1007/s00125-017-4296-1 · Cited by 43
Inshaw, J. R. J., Walker, N. M., Wallace, C., Bottolo, L., & Todd, J. A. (2017) · Diabetologia · doi:10.1007/s00125-017-4440-y · Cited by 41
Anti-Insulin B Cells Are Poised for Antigen Presentation in Type 1 Diabetes
Felton, J. L., Maseda, D., Bonami, R. H., Hulbert, C., & Thomas, J. W. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1701717 · Cited by 43
Gu, Y., Zhao, Z., Waugh, K., Miao, D., Jia, X., Cheng, J., Michels, A. W., Rewers, M., Yang, T., & Yu, L. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.08.036 · Cited by 43
Self-citationJohnson, M. B., Patel, K., Franco, E. D., Hagopian, W., Killian, M., McDonald, T. J., Tree, T. I. M., Domingo‐Vila, C., Hudson, M., Hammersley, S., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05276-4 · Cited by 43
The future of type 1 diabetes therapy
Ziegler, A.-G., Cengiz, E., & Kay, T. W. H. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01438-2 · Cited by 42
Self-citationClair, J. R. S., Ramirez, D. G., Passman, S., & Benninger, R. K. P. (2018) · Nature Communications · doi:10.1038/s41467-018-03953-y · Cited by 42
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Bauer, W., Veijola, R., Lempainen, J., Kiviniemi, M., Härkönen, T., Toppari, J., Knip, M., Gyenesei, A., & Ilonen, J. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00421 · Cited by 43
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Bloem, S. J., & Roep, B. O. (2017) · Diabetologia · doi:10.1007/s00125-017-4284-5 · Cited by 42
Kwon, B. C., Anand, V., Achenbach, P., Dunne, J. L., Hagopian, W., Hu, J., Koski, E., Lernmark, Å., Lundgren, M., Ng, K., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28909-1 · Cited by 43
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Hendriks, E., Marcovecchio, M. L., Besser, R. E. J., Bonifacio, E. E., Casteels, K., Larsson, H. E., Gemulla, G., Lundgren, M., Kordonouri, O., Mallone, R., et al. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3777 · Cited by 41
Self-citationCherubini, V., Mozzillo, E., Iafusco, D., Bonfanti, R., Ripoli, C., Pricci, F., Vincentini, O., Agrimi, U., Silano, M., Ulivi, F., et al. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15779 · Cited by 41
Endesfelder, D., Hagen, M., Winkler, C., Haupt, F., Zillmer, S., Knopff, A., Bonifacio, E. E., Ziegler, A., zu Castell, W., & Achenbach, P. (2016) · Diabetologia · doi:10.1007/s00125-016-4050-0 · Cited by 43
Self-citationHelminen, O., Pokka, T. M.-L., Tossavainen, P. H., Ilonen, J., Knip, M., & Veijola, R. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.07.027 · Cited by 42
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Lamichhane, S., Kemppainen, E., Trôst, K., Siljander, H., Hyöty, H., Ilonen, J., Toppari, J., Veijola, R., Hyötyläinen, T., Knip, M., et al. (2019) · Diabetologia · doi:10.1007/s00125-019-04980-0 · Cited by 42
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Veijola, R., Koskinen, M. K., Helminen, O., & Hekkala, A. (2016) · Pediatric Diabetes · doi:10.1111/pedi.12392 · Cited by 41
Self-citationCiężki, S., Kurpiewska, E., Bossowski, A. T., & Głowińska‐Olszewska, B. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.890833 · Cited by 47
Predictors of slow progression to diabetes in children with multiple islet autoantibodies
Steck, A. K., Dong, F., Waugh, K., Frohnert, B. I., Yu, L., Norris, J. M., & Rewers, M. (2016) · Journal of Autoimmunity · doi:10.1016/j.jaut.2016.05.010 · Cited by 40
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Jacobsen, L. M., Haller, M. J., & Schatz, D. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00070 · Cited by 40
Clinical and research uses of genetic risk scores in type 1 diabetes
Sharp, S. A., Weedon, M. N., Hagopian, W., & Oram, R. A. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.03.009 · Cited by 43
Diabetes: a review of its pathophysiology, and advanced methods of mitigation
Gupta, S., Sharma, N., Arora, S., & Verma, S. (2024) · Current Medical Research and Opinion · doi:10.1080/03007995.2024.2333440 · Cited by 41
Dysglycemia and Index60 as Prediagnostic End Points for Type 1 Diabetes Prevention Trials
Nathan, B. M., Boulware, D. C., Geyer, S. M., Atkinson, M. A., Colman, P. G., Goland, R., Russell, W. E., Wentworth, J. M., Wilson, D. M., Evans‐Molina, C., et al. (2017) · Diabetes Care · doi:10.2337/dc17-0916 · Cited by 38
Long, A. E., Wilson, I. V., Becker, D. J., Libman, I. M., Arena, V. C., Wong, F. S., Steck, A. K., Rewers, M., Yu, L., Achenbach, P., et al. (2018) · Diabetologia · doi:10.1007/s00125-018-4591-5 · Cited by 41
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Verdu, E. F., & Danska, J. S. (2018) · Nature Immunology · doi:10.1038/s41590-018-0130-2 · Cited by 39
Triolo, T. M., Fouts, A., Pyle, L., Yu, L., Gottlieb, P. A., Steck, A. K., Type 1 Diabetes TrialNet Study Group, Greenbaum, C. J., Atkinson, M. A., Baidal, D. A., et al. (2018) · Diabetes Care · doi:10.2337/dc18-0288 · Cited by 39
Self-citationBeyerlein, A., Bonifacio, E. E., Vehik, K., Hippich, M., Winkler, C., Frohnert, B. I., Steck, A. K., Hagopian, W., Krischer, J. P., Lernmark, Å., et al. (2018) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2018-105532 · Cited by 40
Self-citationLand Cover of Early-Life Environment Modulates the Risk of Type 1 Diabetes
Nurminen, N., Cerrone, D., Lehtonen, J., Parajuli, A., Roslund, M. I., Lönnrot, M., Ilonen, J., Toppari, J., Veijola, R., Knip, M., et al. (2021) · Diabetes Care · doi:10.2337/dc20-1719 · Cited by 46
Self-citationJin, Y., Sharma, A. K., Bai, S., Davis, C., Liu, H., Hopkins, D., Barriga, K., Rewers, M., & She, J. (2014) · Diabetes · doi:10.2337/db13-1716 · Cited by 39
Self-citationT Cell Receptor Profiling in Type 1 Diabetes
Jacobsen, L. M., Posgai, A. L., Seay, H. R., Haller, M. J., & Brusko, T. M. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0946-4 · Cited by 38
Metabolite-related dietary patterns and the development of islet autoimmunity
Johnson, R. K., Vanderlinden, L. A., DeFelice, B. C., Kechris, K. J., Uusitalo, U. M., Fiehn, O., Sontag, M. K., Crume, T., Beyerlein, A., Lernmark, Å., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-51251-4 · Cited by 37
Self-citationZiegler, A., Arnolds, S., Koelln, A., Achenbach, P., Berner, R., Bonifacio, E. E., Casteels, K., Larsson, H. E., Gündert, M., Hasford, J., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-052449 · Cited by 42
Self-citationPreclinical Inflammatory Rheumatic Diseases
Raza, K., & Gerlag, D. M. (2014) · Rheumatic Disease Clinics of North America · doi:10.1016/j.rdc.2014.07.001 · Cited by 38
Juusola, M., Parkkola, A., Härkönen, T., Siljander, H., Ilonen, J., Åkerblom, H. K., Knip, M., & the Childhood Diabetes in Finland Study Group (2015) · Diabetes Care · doi:10.2337/dc15-1027 · Cited by 38
Self-citation
Metadata
- Authors
- Ziegler, A. G., Rewers, M., Simell, O., Simell, T., Lempainen, J., Steck, A., Winkler, C., Ilonen, J., Veijola, R., Knip, M., Bonifacio, E., & Eisenbarth, G. S.
- Affiliations
- TUM Klinikum (DE)
- University of Helsinki (FI)
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2013-06-19
- Volume
- 309
- Issue
- 23
- Pages
- 2473
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC4878912
- OpenAlex
- W2095256598
- Semantic Scholar
- 5a7a8cb24a1d4a727e23b19c717a8328b3ce09d6
- Cited by
- 1,312
- References
- 29
- Citations by year
- 2026: 118 · 2025: 133 · 2024: 103 · 2023: 124 · 2022: 107 · 2021: 127 · 2020: 83 · 2019: 92 · 2018: 92 · 2017: 86 · 2016: 89 · 2015: 83 · 2014: 55 · 2013: 18
- FWCI
- 54.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- Funders
- Juvenile Diabetes Research Foundation International (4‐1999‐731, 4‐2001‐435)
- Deutsche Forschungsgemeinschaft (/14-2, /14-1)
- Bundesministerium für Bildung und Forschung
- Novo Nordisk
- Lastentautien Tutkimussäätiö
- National Institutes of Health (DK32493)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK32493, R01DK032493, U01DK063821)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- type 1 diabetes, islet autoantibodies, seroconversion, multiple autoantibodies, progression to diabetes, insulin autoantibodies, GAD65 antibodies, IA-2 autoantibodies, preclinical diabetes, risk prediction, age at seroconversion, islet transplantation
- MeSH terms
- Adolescent, Autoantibodies, Child, Child, Preschool, Colorado, Diabetes Mellitus, Type 1, Female, Finland, Follow-Up Studies, Genotype, Germany, Glutamate Decarboxylase, Humans, Infant, Insulin, Islets of Langerhans, Male, Prospective Studies, Risk, Disease Progression, Genetic Predisposition to Disease, Receptor-Like Protein Tyrosine Phosphatases, Class 8
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