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Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA

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 fo...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728995/
https://www.ncbi.nlm.nih.gov/pubmed/34983671
http://dx.doi.org/10.1186/s40842-021-00135-6
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author 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
author_facet 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
author_sort Martinez, Maria Månsson
collection PubMed
description 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 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40842-021-00135-6.
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spelling pubmed-87289952022-01-06 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 Clin Diabetes Endocrinol Research Article 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 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40842-021-00135-6. BioMed Central 2022-01-05 /pmc/articles/PMC8728995/ /pubmed/34983671 http://dx.doi.org/10.1186/s40842-021-00135-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
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
Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title_full Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title_fullStr Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title_full_unstemmed Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title_short Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA
title_sort heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the teddy family prevention study - tefa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728995/
https://www.ncbi.nlm.nih.gov/pubmed/34983671
http://dx.doi.org/10.1186/s40842-021-00135-6
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