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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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Microbiome-derived bile acid signatures in early life and their association with islet autoimmunity
Lamichhane, S., Dickens, A. M., Buchacher, T., Lou, T., Charron‐Lamoureux, V., Kattelus, R., Karmacharya, P., da Silva, L. P., Kråkström, M., Rasool, O., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-66619-6 · Cited by 18
Self-citationLearning From Past Failures of Oral Insulin Trials
Michels, A. W., & Gottlieb, P. A. (2018) · Diabetes · doi:10.2337/dbi17-0043 · Cited by 17
Exploring Minimally Invasive Approach to Define Stages of Type 1 Diabetes Remotely
Kontola, H., Alanko, I., Koskenniemi, J. J., Löyttyniemi, E., Itoshima, S., Knip, M., Veijola, R., Toppari, J., & Kero, J. T. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0554 · Cited by 18
Self-citationLamichhane, S., Sen, P., Dickens, A. M., Kråkström, M., Ilonen, J., Lempainen, J., Hyöty, H., Lahesmaa, R., Veijola, R., Toppari, J., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1211015 · Cited by 17
Self-citationSing, A. B. E., Naselli, G., Huang, D., Watson, K., Colman, P. G., Harrison, L. C., & Wentworth, J. M. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0345 · Cited by 17
Drotar, D. M., Mojica-Avila, A. K., Bloss, D. T., Cohrs, C. M., Manson, C. T., Posgai, A. L., Williams, M. D., Brusko, M., Phelps, E. A., Wasserfall, C. H., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114346 · Cited by 17
Developing a vaccine for Type 1 diabetes through targeting enteroviral infections
Hyöty, H., & Knip, M. (2014) · Expert Review of Vaccines · doi:10.1586/14760584.2014.933078 · Cited by 17
Self-citationMetabolomic Biomarkers in the Progression to Type 1 Diabetes
Overgaard, A. J., Kaur, S., & Pociot, F. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0820-9 · Cited by 18
Evolution of autoantibody responses in individuals at risk of rheumatoid arthritis
Falkenburg, W. J. J., & van Schaardenburg, D. (2017) · Best Practice & Research Clinical Rheumatology · doi:10.1016/j.berh.2017.07.005 · Cited by 17
Mäkinen, M., Löyttyniemi, E., Koskinen, M. K., Vähä-Mäkilä, M., Siljander, H., Nurmio, M., Mykkänen, J., Virtanen, S. M., Simell, O., Hyöty, H., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-02094 · Cited by 17
Self-citationShared and unique immune alterations in pre-clinical autoimmunity
Slight-Webb, S. R., Bourn, R. L., Holers, V. M., & James, J. A. (2019) · Current Opinion in Immunology · doi:10.1016/j.coi.2019.08.006 · Cited by 16
Prevention of Type 1 Diabetes: Past Experiences and Future Opportunities
Beik, P., Ciesielska, M., Kucza, M., Kurczewska, A., Kuźmińska, J., Maćkowiak, B., & Niechciał, E. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092805 · Cited by 18
Salami, F., Tamura, R., You, L., Lernmark, Å., Larsson, H. E., Lundgren, M., Krischer, J. P., Ziegler, A., Toppari, J., Veijola, R., et al. (2022) · Pediatric Diabetes · doi:10.1111/pedi.13413 · Cited by 17
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Wherrett, D. K. (2014) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2014.05.004 · Cited by 17
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Yassouridis, C., Leisch, F., Winkler, C., Ziegler, A., & Beyerlein, A. (2016) · Pediatric Diabetes · doi:10.1111/pedi.12368 · Cited by 19
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Insel, R., & Dunne, J. (2016) · Pediatric Diabetes · doi:10.1111/pedi.12326 · Cited by 16
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Alazwari, A., Johnstone, A. C., Tafakori, L., Abdollahian, M., AlEidan, A., Alfuhigi, K., Alghofialy, M. M., Albunyan, A., Abbad, H. J. A., Alessa, M. H., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282426 · Cited by 18
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Sharma, S. M., Tan, X., Boyer, J., Clarke, D., Costanzo, A. E., Abe, B. T., Kain, L., Holt, M., ARMSTRONG, A., Rihanek, M., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.ade3614 · Cited by 16
Williams, C. L., Marzinotto, I., Brigatti, C., Gillespie, K. M., The BOX Study Group, Wilson, I. S., Aitken, R. J., Megson, C., Ballav, C., Dutta, A. K., et al. (2023) · Clinical & Experimental Immunology · doi:10.1093/cei/uxad139 · Cited by 19
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Triolo, T. M., Pyle, L. L., Seligova, S., Yu, L., Simmons, K. M., Gottlieb, P. A., Evans‐Molina, C., & Steck, A. K. (2021) · Journal of Translational Autoimmunity · doi:10.1016/j.jtauto.2021.100089 · Cited by 15
Self-citationHerat, L. Y., Matthews, J. R., Hibbs, M. E., Rakoczy, E. P., Schlaich, M. P., & Matthews, V. B. (2022) · iScience · doi:10.1016/j.isci.2023.107260 · Cited by 18
Simmons, K. M., Frohnert, B. I., O’Donnell, H. K., BAUTISTA, K. A., Rasmussen, C. G., Gonzalez, A. G., Steck, A. K., & Rewers, M. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0276 · Cited by 16
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Insel, R. A., Dutta, S., & Hedrick, J. A. (2017) · Biomedicine Hub · doi:10.1159/000481131 · Cited by 17
Padoa, C. J., Rheeder, P., Pirie, F. J., Motala, A. A., van Dyk, J. C., & Crowther, N. J. (2019) · Diabetic Medicine · doi:10.1111/dme.14204 · Cited by 15
Melin, J., Maziarz, M., Aronsson, C. A., Lundgren, M., & Larsson, H. E. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13024 · Cited by 15
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Kwong, C.-T. J., Selck, C., Tahija, K., McAnaney, L. J., Le, D. V., Kay, T. W. H., Thomas, H. E., & Krishnamurthy, B. (2021) · Immunology and Cell Biology · doi:10.1111/imcb.12444 · Cited by 15
Smeets, S., Paep, D. L. D., Stangé, G. M., Verhaeghen, K., der Auwera, B. J. R. V., Keymeulen, B., Weets, I., Ling, Z., Veld, P. I. '., & Gorus, F. (2021) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-021-03055-z · Cited by 16
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Amdare, N. P., Purcell, A. W., & DiLorenzo, T. P. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100827 · Cited by 16
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Mitchell, A. M., & Michels, A. W. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063155 · Cited by 15
Advances in protein glycosylation and its role in tissue repair and regeneration
Yue, Z., Yu, Y., Gao, B., Wang, D., Sun, H., Feng, Y., Ma, Z., & Xie, X. (2023) · Glycoconjugate Journal · doi:10.1007/s10719-023-10117-8 · Cited by 16
Disease modifying therapies in type 1 diabetes: Where have we been, and where are we going?
Lord, S. M., & Greenbaum, C. J. (2015) · Pharmacological Research · doi:10.1016/j.phrs.2015.02.002 · Cited by 15
Kikkas, I., Mallone, R., Larger, É., Volland, H., & Morel, N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103088 · Cited by 15
Diabetes mellitus in childhood: an emerging condition in the 21st century
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Ling, Q., Lü, J., Li, J., Xu, Q., Zhu, D., & Bi, Y. (2017) · Journal of Autoimmunity · doi:10.1016/j.jaut.2017.09.012 · Cited by 16
Pöllänen, P. M., Lempainen, J., Laine, A., Toppari, J., Veijola, R., Ilonen, J., Siljander, H., & Knip, M. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-01069 · Cited by 14
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Roth, D., Düll, M. M., Horst, L. J., Lindemann, A., Malzer, X., Koop, K., Zundler, S., Vetter, M., Jefremow, A., Atreya, R. N., et al. (2024) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjae131 · Cited by 14
Krischer, J. P., Müller, S., You, L., Achenbach, P., Bazzigaluppi, E., Brigatti, C., Lampasona, V., Mathew, A., Robinson, P. V., Seftel, D., et al. (2025) · Diabetes · doi:10.2337/db24-0814 · Cited by 14
Musthaffa, Y., Hamilton‐Williams, E. E., Nel, H. J., Bergot, A., Mehdi, A. M., Harris, M. A., & Thomas, R. (2021) · Clinical & Translational Immunology · doi:10.1002/cti2.1315 · Cited by 14
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Felton, J. L., Conway, H., & Bonami, R. H. (2021) · Biomedicines · doi:10.3390/biomedicines9010042 · Cited by 13
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Luce, S., Guinoiseau, S., Gadault, A., Letourneur, F., Nitschké, P., Bras, M., Vidaud, M., Charneau, P., Larger, É., Colli, M. L., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.748679 · Cited by 14
Cortez, F. D. J., Gebhart, D., Tandel, D., Robinson, P. V., Seftel, D., Wilson, D. M., Maahs, D. M., Buckingham, B. A., Miller, K. W. P., & Tsai, C.-T. (2022) · SLAS TECHNOLOGY · doi:10.1016/j.slast.2021.10.001 · Cited by 16
Differentially methylated and expressed genes in familial type 1 diabetes
DASHTI, M. H., Nizam, R., Hebbar, P., Jacob, S. P., John, S. E., Channanath, A. M., Alkandari, H., Thanaraj, T. A., & Al‐Mulla, F. (2022) · Scientific Reports · doi:10.1038/s41598-022-15304-5 · Cited by 14
Ng, K., Anand, V., Stavropoulos, H., Veijola, R., Toppari, J., Maziarz, M., Lundgren, M., Waugh, K., Frohnert, B. I., Martin, F., et al. (2022) · Diabetologia · doi:10.1007/s00125-022-05799-y · Cited by 14
Self-citationBuzzetti, R., Prudente, S., Copetti, M., Dauriz, M., Zampetti, S., Garofolo, M., Penno, G., & Trischitta, V. (2016) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2016.08.005 · Cited by 14
Mining the Virome for Insights into Type 1 Diabetes
Park, A., & Zhao, G. (2018) · DNA and Cell Biology · doi:10.1089/dna.2018.4185 · Cited by 14
Determining Antigen Specificity of Human Islet Infiltrating T Cells in Type 1 Diabetes
Nakayama, M., & Michels, A. W. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00365 · Cited by 16
Activated but functionally impaired memory Tregs are expanded in slow progressors to type 1 diabetes
Boldison, J., Long, A. E., Aitken, R. J., Wilson, I. V., Megson, C., Hanna, S. J., Wong, F. S., & Gillespie, K. M. (2021) · Diabetologia · doi:10.1007/s00125-021-05595-0 · Cited by 15
Sperling, M. A., Tamborlane, W. V., Battelino, T., WEINZIMER, S. A., & Phillip, M. (2014) · Elsevier eBooks · doi:10.1016/b978-1-4557-4858-7.00028-7 · Cited by 16
Michels, A. W., Brusko, T. M., Evans‐Molina, C., Homann, D., Richardson, S. J., & Powers, A. C. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf267 · Cited by 16
Kotsiri, I., Xanthi, M., Domazinaki, C.-M., & Magiorkinis, E. (2025) · Biology · doi:10.3390/biology14080981 · Cited by 13
Gitelman, S. E., Simmons, K. M., Sherr, J. L., Leichter, S. B., Quattrin, T., Russell, W. E., Sunil, B., Willi, S. M., Knecht, L. A., Niemoeller, E., et al. (2025) · Diabetologia · doi:10.1007/s00125-025-06586-1 · Cited by 15
Taka, A., Härkönen, T., Vähäsalo, P., Lempainen, J., Veijola, R., Ilonen, J., Knip, M., & Register, T. F. P. D. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13300 · Cited by 13
Self-citationStratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering
Mistry, S., Gouripeddi, R., Raman, V. S., & Facelli, J. C. (2022) · Diabetologia · doi:10.1007/s00125-022-05843-x · Cited by 12
Approach to the Patient: Youth-Onset Type 2 Diabetes
Hitt, T. A., Hannon, T. S., & Magge, S. N. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad482 · Cited by 13
Can fecal microbiota transplantations modulate autoimmune responses in type 1 diabetes?
Snethlage, C. M. F., de Wit, D. F., Wortelboer, K., Rampanelli, E., Hanssen, N. M. J., & Nieuwdorp, M. (2024) · Immunological Reviews · doi:10.1111/imr.13345 · Cited by 13
Type 1 diabetes: immune pathology and novel therapeutic approaches
Ling, E. M., Lemos, J. R. N., Hirani, K., & von Herrath, M. (2024) · Diabetology International · doi:10.1007/s13340-024-00748-z · Cited by 13
Time to reframe the disease staging system for type 1 diabetes
Jacobsen, L. M., Atkinson, M. A., Sosenko, J. M., & Gitelman, S. E. (2024) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00239-0 · Cited by 15
Quinn, L. M., Dias, R. P., Greenfield, S., Richter, A. G., Garstang, J. J., Shukla, D., Acharjee, A., Gkoutos, G. V., Oram, R. A., Faustini, S. E., et al. (2024) · Diabetic Medicine · doi:10.1111/dme.15490 · Cited by 13
The extra-islet pancreas supports autoimmunity in human type 1 diabetes
Barlow, G. L., Schürch, C. M., Bhate, S. S., Phillips, D. J., Young, A., Dong, S., Martinez, H., Kaber, G., Nagy, N., Ramachandran, S., et al. (2025) · eLife · doi:10.7554/elife.100535.3 · Cited by 13
McLaughlin, K. A., Richardson, C. C., Williams, S. R., Bonifacio, E. E., Morgan, D., Feltbower, R. G., Powell, M. J., Smith, B. R., Furmaniak, J., & Christie, M. R. (2015) · Clinical Immunology · doi:10.1016/j.clim.2015.06.002 · Cited by 13
Self-citationThe progress and potential of proteomic biomarkers for type 1 diabetes in children
Moulder, R., Bhosale, S. D., Lahesmaa, R., & Goodlett, D. R. (2016) · Expert Review of Proteomics · doi:10.1080/14789450.2017.1265449 · Cited by 13
Longitudinal monitoring of gene expression in ultra-low-volume blood samples self-collected at home
Speake, C., Whalen, E., Gersuk, V. H., Chaussabel, D., Odegard, J., & Greenbaum, C. J. (2016) · Clinical & Experimental Immunology · doi:10.1111/cei.12916 · Cited by 13
Skog, O., & Korsgren, O. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01420-8 · Cited by 13
Harbison, J. E., Thomson, R. L., Wentworth, J. M., Louise, J., Roth‐Schulze, A. J., Battersby, R., Ngui, K., Penno, M. A. S., Colman, P. G., Craig, M. E., et al. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13178 · Cited by 16
lgpr:an interpretable non-parametric method for inferring covariate effects from longitudinal data
Timonen, J., Mannerström, H., Vehtari, A., & Lähdesmäki, H. J. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab021 · Cited by 13
Zhao, L. P., Papadopoulos, G. K., Moustakas, A. K., Bondinas, G. P., Carlsson, A., Larsson, H. E., Ludvigsson, J., Marcus, C., Persson, M., Samuelsson, U., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-86229-8 · Cited by 13
Bediaga, N. G., Garnham, A. L., Naselli, G., Bandala‐Sanchez, E., Stone, N. L., Cobb, J. E., Harbison, J. E., Wentworth, J. M., Ziegler, A., Couper, J., et al. (2022) · Diabetes · doi:10.2337/db21-0612 · Cited by 13
Self-citationBuschard, K. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.876470 · Cited by 15
Joshi, K., Harris, M. A., Cotterill, A. M., Wentworth, J. M., Couper, J., Haynes, A., Davis, E. A., Lomax, K. E., & Huynh, T. (2023) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2023-0234 · Cited by 13
Wilson, C., Elizer, S. K., Marshall, A. F., Stocks, B. T., & Moore, D. J. (2015) · Journal of Diabetes · doi:10.1111/1753-0407.12263 · Cited by 13
Marinković, T., & Orešič, M. (2015) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2015.08.011 · Cited by 13
Balti, E. V., Vandemeulebroucke, E., Weets, I., de Velde, U. V., Dalem, A. V., Demeester, S., Verhaeghen, K., Gillard, P., Block, C. E. M. D., Ruige, J. B., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-2035 · Cited by 13
Immunogenicity of β-cells for autologous transplantation in type 1 diabetes
Schuetz, C., & Markmann, J. F. (2015) · Pharmacological Research · doi:10.1016/j.phrs.2015.03.003 · Cited by 13
PTPN22 and islet-specific autoimmunity: What have the mouse models taught us?
Galvani, G., & Fousteri, G. (2017) · World Journal of Diabetes · doi:10.4239/wjd.v8.i7.330 · Cited by 13
Aetiology of type 1 diabetes: Physiological growth in children affects disease progression
Skog, O., & Korsgren, O. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13144 · Cited by 14
Jónsdóttir, B., Jönsson, I., & Lantz, M. (2019) · Endocrine · doi:10.1007/s12020-019-01852-w · Cited by 12
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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