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Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA.
Martinez, Maria Månsson; Spiliopoulos, Lampros; Salami, Falastin; Agardh, Daniel; Toppari, Jorma; Lernmark, Åke; Kero, Jukka; Veijola, Riitta; Tossavainen, Päivi; Palmu, Sauli; Lundgren, Markus; Borg, Henrik; Katsarou, Anastasia; Larsson, Helena Elding; Knip, Mikael; Maziarz, Marlena; Törn, Carina.
Afiliación
  • Martinez MM; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden. maria.mansson_martinez@med.lu.se.
  • Spiliopoulos L; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Salami F; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Agardh D; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Toppari J; Department of Pediatrics, Turku University Hospital, Turku, Finland.
  • Lernmark Å; Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland.
  • Kero J; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Veijola R; Department of Pediatrics, Turku University Hospital, Turku, Finland.
  • Tossavainen P; Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland.
  • Palmu S; Department of Pediatrics, PEDEGO Research Unit, MRC Oulu, University of Oulu, Oulu, Finland.
  • Lundgren M; Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Borg H; Department of Pediatrics, PEDEGO Research Unit, MRC Oulu, University of Oulu, Oulu, Finland.
  • Katsarou A; Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland.
  • Larsson HE; Department of Pediatrics, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University Hospital, Tampere, Finland.
  • Knip M; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Maziarz M; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
  • Törn C; Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
Clin Diabetes Endocrinol ; 7(1): 23, 2022 Jan 05.
Article en En | MEDLINE | ID: mdl-34983671
BACKGROUND: Individuals with multiple islet autoantibodies are at increased risk for clinical type 1 diabetes and may proceed gradually from stage to stage complicating the recruitment to secondary prevention studies. We evaluated multiple islet autoantibody positive subjects before randomisation for a clinical trial 1 month apart for beta-cell function, glucose metabolism and continuous glucose monitoring (CGM). We hypothesized that the number and type of islet autoantibodies in combination with different measures of glucose metabolism including fasting glucose, HbA1c, oral glucose tolerance test (OGTT), intra venous glucose tolerance test (IvGTT) and CGM allows for more precise staging of autoimmune type 1 diabetes than the number of islet autoantibodies alone. METHODS: Subjects (n = 57) at 2-50 years of age, positive for two or more islet autoantibodies were assessed by fasting plasma insulin, glucose, HbA1c as well as First Phase Insulin Response (FPIR) in IvGTT, followed 1 month later by OGTT, and 1 week of CGM (n = 24). RESULTS: Autoantibodies against GAD65 (GADA; n = 52), ZnT8 (ZnT8A; n = 40), IA-2 (IA-2A; n = 38) and insulin (IAA; n = 28) were present in 9 different combinations of 2-4 autoantibodies. Fasting glucose and HbA1c did not differ between the two visits. The estimate of the linear relationship between log2-transformed FPIR as the outcome and log2-transformed area under the OGTT glucose curve (AUC) as the predictor, adjusting for age and sex was - 1.88 (- 2.71, - 1.05) p = 3.49 × 10-5. The direction of the estimates for all glucose metabolism measures was positive except for FPIR, which was negative. FPIR was associated with higher blood glucose. Both the median and the spread of the CGM glucose data were significantly associated with higher glucose values based on OGTT, higher HbA1c, and lower FPIR. There was no association between glucose metabolism, autoantibody number and type except that there was an indication that the presence of at least one of ZnT8(Q/R/W) A was associated with a lower log2-transformed FPIR (- 0.80 (- 1.58, - 0.02), p = 0.046). CONCLUSIONS: The sole use of two or more islet autoantibodies as inclusion criterion for Stage 1 diabetes in prevention trials is unsatisfactory. Staging type 1 diabetes needs to take the heterogeneity in beta-cell function and glucose metabolism into account. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02605148 , November 16, 2015.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies Idioma: En Revista: Clin Diabetes Endocrinol Año: 2022 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Prognostic_studies Idioma: En Revista: Clin Diabetes Endocrinol Año: 2022 Tipo del documento: Article País de afiliación: Suecia