1
|
Voss MG, Cuthbertson DD, Cleves MM, Xu P, Evans-Molina C, Palmer JP, Redondo MJ, Steck AK, Lundgren M, Larsson H, Moore WV, Atkinson MA, Sosenko JM, Ismail HM. Time to Peak Glucose and Peak C-Peptide During the Progression to Type 1 Diabetes in the Diabetes Prevention Trial and TrialNet Cohorts. Diabetes Care 2021; 44:2329-2336. [PMID: 34362815 PMCID: PMC8740940 DOI: 10.2337/dc21-0226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 07/12/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the progression of type 1 diabetes using time to peak glucose or C-peptide during oral glucose tolerance tests (OGTTs) in autoantibody-positive relatives of people with type 1 diabetes. RESEARCH DESIGN AND METHODS We examined 2-h OGTTs of participants in the Diabetes Prevention Trial Type 1 (DPT-1) and TrialNet Pathway to Prevention (PTP) studies. We included 706 DPT-1 participants (mean ± SD age, 13.84 ± 9.53 years; BMI Z-score, 0.33 ± 1.07; 56.1% male) and 3,720 PTP participants (age, 16.01 ± 12.33 years; BMI Z-score, 0.66 ± 1.3; 49.7% male). Log-rank testing and Cox regression analyses with adjustments (age, sex, race, BMI Z-score, HOMA-insulin resistance, and peak glucose/C-peptide levels, respectively) were performed. RESULTS In each of DPT-1 and PTP, higher 5-year diabetes progression risk was seen in those with time to peak glucose >30 min and time to peak C-peptide >60 min (P < 0.001 for all groups), before and after adjustments. In models examining strength of association with diabetes development, associations were greater for time to peak C-peptide versus peak C-peptide value (DPT-1: χ2 = 25.76 vs. χ2 = 8.62; PTP: χ2 = 149.19 vs. χ2 = 79.98; all P < 0.001). Changes in the percentage of individuals with delayed glucose and/or C-peptide peaks were noted over time. CONCLUSIONS In two independent at-risk populations, we show that those with delayed OGTT peak times for glucose or C-peptide are at higher risk of diabetes development within 5 years, independent of peak levels. Moreover, time to peak C-peptide appears more predictive than the peak level, suggesting its potential use as a specific biomarker for diabetes progression.
Collapse
Affiliation(s)
- Michael G Voss
- Department of Medicine, Indiana University, School of Medicine, Indianapolis, IN
| | - David D Cuthbertson
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | - Mario M Cleves
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | - Ping Xu
- Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | | | - Jerry P Palmer
- Veterans Affairs Puget Sound Health Care System, Seattle, WA
| | - Maria J Redondo
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Helena Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Wayne V Moore
- Division of Endocrinology and Diabetes, Children's Mercy Hospital, University of Missouri-Kansas City School of Medicine, Kansas City, MO
| | - Mark A Atkinson
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Jay M Sosenko
- Division of Endocrinology, Diabetes, and Metabolism, University of Miami, Miami, FL
| | | | | |
Collapse
|
2
|
Lam A, Dayan C, Herold KC. A little help from residual β cells has long-lasting clinical benefits. J Clin Invest 2021; 131:143683. [PMID: 33529163 PMCID: PMC7843219 DOI: 10.1172/jci143683] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Following type 1 diabetes (T1D) diagnosis, declining C-peptide levels reflect deteriorating β cell function. However, the precise C-peptide levels that indicate protection from severe hypoglycemia remain unknown. In this issue of the JCI, Gubitosi-Klug et al. studied participants from the landmark and ongoing Diabetes Control and Complications Trial (DCCT) and the Epidemiology of Diabetes Interventions and Complications (EDIC) study that had long-standing (about 35 years) T1D. The authors correlated severe hypoglycemia and other disease outcomes with residual C-peptide levels. While C-peptide secretion failed to associate with hemoglobin A1c (HbA1c) or microvascular complications, C-peptide levels greater than 0.03 nmol/L were linked with fewer episodes of severe hypoglycemia. These findings suggest that efforts to preserve finite β cell function early in T1D can have meaningful, long-standing health benefits for patients.
Collapse
Affiliation(s)
- Anna Lam
- University of Alberta, Edmonton, Alberta, Canada
| | - Colin Dayan
- Cardiff University School of Medicine, Cardiff, United Kingdom
| | | |
Collapse
|
3
|
Cause or effect? A review of clinical data demonstrating beta cell dysfunction prior to the clinical onset of type 1 diabetes. Mol Metab 2020; 27S:S129-S138. [PMID: 31500824 PMCID: PMC6768572 DOI: 10.1016/j.molmet.2019.06.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Background Limited successes of conventional approaches to type 1 diabetes (T1D) prevention and treatment have highlighted the need for improved understanding of risk factors contributing to or hastening progression to clinical diagnosis. Scope of review This review summarizes beta cell function metabolic phenotyping data from clinical studies conducted in at-risk individuals before T1D onset and healthy controls. Data are drawn from studies comparing at-risk individuals who progress to T1D to at-risk individuals who do not progress to T1D, as well as from studies comparing at-risk individuals to controls without a T1D family history. Major conclusions Rapid loss of beta cell insulin secretion occurs in the months immediately preceding clinical onset. However, evidence of beta cell dysfunction is present even years earlier. Comparisons to controls without a family history suggest that many individuals in families impacted by T1D have evidence of beta cell dysfunction, even individuals who are unlikely to develop clinical disease. These findings may mean that underlying metabolic beta cell dysfunction contributes to T1D development and may explain some of the heterogeneity observed in the disease.
Collapse
|
4
|
Takahi Y, Miyashita K, Takahara M, Katakami N, Kuroda A, Matsuoka TA, Matsuhisa M, Ito T, Shimomura I. Predictive factors of posttransplant glucose intolerance in Japanese patients with type 1 diabetes after pancreas transplantation. Endocr J 2019; 66:1101-1112. [PMID: 31495809 DOI: 10.1507/endocrj.ej19-0180] [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] [Indexed: 11/23/2022] Open
Abstract
Pancreas transplantation (PTx) has been performed worldwide for patients with type 1 diabetes accompanied with end-stage renal disease or uncontrollable glycemic fluctuation. Nevertheless, risk factors of posttransplant glucose intolerance, which is responsible for progress of diabetic complications, remains unclear, especially in cases without pancreatic graft function loss. Therefore, this study was conducted to search for predictive factors of future glucose tolerance in PTx recipients without pancreatic graft function loss. Subjects were selected from among 41 Japanese patients with type 1 diabetes who received PTx between 2000 and 2016 in Osaka University Hospital, and 24 subjects free from rejections and thromboses were analyzed. Several examinations to evaluate insulin secretion and insulin sensitivity within 6 months after transplantation (initial examination) were performed. Glucose tolerance was evaluated by 120-minute post-load plasma glucose level during 75-g oral glucose tolerance tests (OGTT), referred to as PGOGTT120, at the initial examination and between 1 year and 2 years posttransplantation (maintenance period). The initial examination factors that were correlated with PGOGTT120 in the maintenance period were PGOGTT120 [r = 0.52 (p = 0.01)], insulinogenic index [r = -0.65 (p < 0.01)], and the ratio of incremental area under the curve of insulin to that of plasma glucose (iAUCR) calculated from data of OGTT [r = -0.65 (p < 0.01)]. Insulinogenic index [β = -0.28 (p = 0.02)] and iAUCR [β = -0.29 (p = 0.02)] were still significantly correlated with PGOGTT120 in the maintenance period after adjustment for PGOGTT120 at the initial examination. In conclusion, insulinogenic index and iAUCR from OGTT performed in the early posttransplantation period were predictive factors of future glucose intolerance.
Collapse
Affiliation(s)
- Yasumitsu Takahi
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Kazuyuki Miyashita
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Mitsuyoshi Takahara
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
- Department of Diabetes Care Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Naoto Katakami
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
- Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Akio Kuroda
- Diabetes Therapeutics and Research Center, Institute of Advance Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Taka-Aki Matsuoka
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Munehide Matsuhisa
- Diabetes Therapeutics and Research Center, Institute of Advance Medical Sciences, Tokushima University, Tokushima 770-8503, Japan
| | - Toshinori Ito
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka 536-8588, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| |
Collapse
|
5
|
Åkerman L, Ludvigsson J, Swartling U, Casas R. Characteristics of the pre-diabetic period in children with high risk of type 1 diabetes recruited from the general Swedish population-The ABIS study. Diabetes Metab Res Rev 2017; 33. [PMID: 28371132 DOI: 10.1002/dmrr.2900] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 03/10/2017] [Accepted: 03/27/2017] [Indexed: 11/11/2022]
Abstract
BACKGROUND There is a need for increased understanding of the pre-diabetic period in individuals with high risk of type 1 diabetes from the general population. METHODS High-risk children (n = 21) positive for multiple islet autoantibodies were identified by autoantibody screening within the All Babies in Southeast Sweden study. The children and their parents were enrolled in a 2-year prospective follow-up study aiming to characterize the pre-diabetic period. Blood samples were collected every 6 months for measurement of C-peptide, HbA1c, fasting glucose, and autoantibodies. Human leukocyte antigen-genotype was determined, and oral glucose tolerance test was performed every 12 months. RESULTS Despite positivity for multiple autoantibodies, 9 out of 21 individuals had low-risk human leukocyte antigen-genotypes. Children who progressed to manifest diabetes (progressors, n = 12) had higher levels of IA2A and ZnT8A than children who did not (non-progressors, n = 9). Impaired glucose tolerance and impaired fasting glucose was observed to the same extent in progressors and non-progressors, but HbA1c increased over time in progressors in spite of increased C-peptide. CONCLUSIONS Autoantibodies to IA2 and ZnT8 may be useful discriminators for disease progression in at-risk children from the general population. Dysglycemia was observed long before diagnosis, and difficulties in maintaining glucose homeostasis despite increased C-peptide indicate that insulin resistance might be an important accelerator of disease in risk individuals.
Collapse
Affiliation(s)
- Linda Åkerman
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Johnny Ludvigsson
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Pediatric Clinic, County Council of Östergötland, Linköping, Sweden
| | - Ulrica Swartling
- Division of Diabetes and Celiac disease, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Rosaura Casas
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| |
Collapse
|
6
|
Van Dalem A, Demeester S, Balti EV, Keymeulen B, Gillard P, Lapauw B, De Block C, Abrams P, Weber E, Vermeulen I, De Pauw P, Pipeleers D, Weets I, Gorus FK. Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio. PLoS One 2016; 11:e0166702. [PMID: 27907006 PMCID: PMC5131964 DOI: 10.1371/journal.pone.0166702] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 11/02/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The hyperglycemic clamp test, the gold standard of beta cell function, predicts impending type 1 diabetes in islet autoantibody-positive individuals, but the latter may benefit from less invasive function tests such as the proinsulin:C-peptide ratio (PI:C). The present study aims to optimize precision of PI:C measurements by automating a dual-label trefoil-type time-resolved fluorescence immunoassay (TT-TRFIA), and to compare its diagnostic performance for predicting type 1 diabetes with that of clamp-derived C-peptide release. METHODS Between-day imprecision (n = 20) and split-sample analysis (n = 95) were used to compare TT-TRFIA (AutoDelfia, Perkin-Elmer) with separate methods for proinsulin (in-house TRFIA) and C-peptide (Elecsys, Roche). High-risk multiple autoantibody-positive first-degree relatives (n = 49; age 5-39) were tested for fasting PI:C, HOMA2-IR and hyperglycemic clamp and followed for 20-57 months (interquartile range). RESULTS TT-TRFIA values for proinsulin, C-peptide and PI:C correlated significantly (r2 = 0.96-0.99; P<0.001) with results obtained with separate methods. TT-TRFIA achieved better between-day %CV for PI:C at three different levels (4.5-7.1 vs 6.7-9.5 for separate methods). In high-risk relatives fasting PI:C was significantly and inversely correlated (rs = -0.596; P<0.001) with first-phase C-peptide release during clamp (also with second phase release, only available for age 12-39 years; n = 31), but only after normalization for HOMA2-IR. In ROC- and Cox regression analysis, HOMA2-IR-corrected PI:C predicted 2-year progression to diabetes equally well as clamp-derived C-peptide release. CONCLUSIONS The reproducibility of PI:C benefits from the automated simultaneous determination of both hormones. HOMA2-IR-corrected PI:C may serve as a minimally invasive alternative to the more tedious hyperglycemic clamp test.
Collapse
Affiliation(s)
- Annelien Van Dalem
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Simke Demeester
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Eric V. Balti
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
| | - Bart Keymeulen
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Diabetology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Pieter Gillard
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Endocrinology, Universitair Ziekenhuis Leuven, Belgium
| | - Bruno Lapauw
- Department of Endocrinology, Universitair Ziekenhuis Gent, Ghent, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, Universitair Ziekenhuis Antwerpen, Edegem, Belgium
| | - Pascale Abrams
- Department of Endocrinology and Diabetology, GZA Campus Sint Augustinus en Sint Vincentius, Wilrijk-Antwerp, Belgium
| | - Eric Weber
- Department of Endocrinology and Diabetology, Clinique du Sud Luxembourg et Clinique Saint Joseph, Arlon, Belgium
| | - Ilse Vermeulen
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
| | - Pieter De Pauw
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
| | - Daniël Pipeleers
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
| | - Ilse Weets
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Frans K. Gorus
- Diabetes Research Center, Brussels Free University—VUB, Brussels, Belgium
- Department of Clinical Chemistry and Radio-immunology, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | | |
Collapse
|
7
|
Veijola R, Koskinen M, Helminen O, Hekkala A. Dysregulation of glucose metabolism in preclinical type 1 diabetes. Pediatr Diabetes 2016; 17 Suppl 22:25-30. [PMID: 27411433 DOI: 10.1111/pedi.12392] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Accepted: 03/23/2016] [Indexed: 01/13/2023] Open
Abstract
Long-term prospective studies have provided valuable information about preclinical type 1 diabetes (T1D). Children who have seroconverted to positive for islet autoantibodies have also, in follow-up, had metabolic tests to understand the timing and development of abnormal glucose tolerance and declining insulin secretion before the clinical diagnosis of T1D. First phase insulin response (FPIR) in the intravenous glucose tolerance test (IVGTT) is lower in the progressors positive for multiple islet autoantibodies in all age groups and as early as 4-6 years before the diagnosis when compared with the non-progressors positive for only islet cell antibodies (ICA). An accelerated decline in FPIR is seen in the progressors during the last 1.5 years before the diagnosis. These results indicate that the progressors may have an early intrinsic defect in beta cell development or function. In the oral glucose tolerance test (OGTT) the peak C-peptide response is delayed in the progressors at least 2 years before diagnosis. Glucose levels and HbA1c are increasing about 2 years before clinical diagnosis. An increase in HbA1c and detection of abnormal glucose tolerance in OGTT are useful in the prediction of the timing of clinical onset of T1D. Continuous glucose monitoring (CGM) may be useful in the prediction of T1D as an early indicator of increased glycemic variability but more data from larger series are needed for confirmation. Children followed in the prospective studies are diagnosed earlier and have a decreased frequency of ketoacidosis at the diagnosis of T1D when compared with age-matched cases from the population.
Collapse
Affiliation(s)
- Riitta Veijola
- Department of Pediatrics, Research Unit for Pediatrics, Dermatology, Clinical Genetics, Gynecology and Obstetrics (PEDEGO), Medical Research Center (MRC) Oulu, University of Oulu, Oulu, Finland.,Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Maarit Koskinen
- Department of Pediatrics, University of Turku, Turku, Finland.,Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Olli Helminen
- Department of Pediatrics, Research Unit for Pediatrics, Dermatology, Clinical Genetics, Gynecology and Obstetrics (PEDEGO), Medical Research Center (MRC) Oulu, University of Oulu, Oulu, Finland.,Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Anne Hekkala
- Department of Pediatrics, Research Unit for Pediatrics, Dermatology, Clinical Genetics, Gynecology and Obstetrics (PEDEGO), Medical Research Center (MRC) Oulu, University of Oulu, Oulu, Finland.,Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| |
Collapse
|
8
|
Van Dalem A, Demeester S, Balti EV, Decochez K, Weets I, Vandemeulebroucke E, Van de Velde U, Walgraeve A, Seret N, De Block C, Ruige J, Gillard P, Keymeulen B, Pipeleers DG, Gorus FK. Relationship between glycaemic variability and hyperglycaemic clamp-derived functional variables in (impending) type 1 diabetes. Diabetologia 2015; 58:2753-64. [PMID: 26409458 DOI: 10.1007/s00125-015-3761-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Accepted: 08/24/2015] [Indexed: 01/13/2023]
Abstract
AIMS/HYPOTHESIS We examined whether measures of glycaemic variability (GV), assessed by continuous glucose monitoring (CGM) and self-monitoring of blood glucose (SMBG), can complement or replace measures of beta cell function and insulin action in detecting the progression of preclinical disease to type 1 diabetes. METHODS Twenty-two autoantibody-positive (autoAb(+)) first-degree relatives (FDRs) of patients with type 1 diabetes who were themselves at high 5-year risk (50%) for type 1 diabetes underwent CGM, a hyperglycaemic clamp test and OGTT, and were followed for up to 31 months. Clamp variables were used to estimate beta cell function (first-phase [AUC5-10 min] and second-phase [AUC120-150 min] C-peptide release) combined with insulin resistance (glucose disposal rate; M 120-150 min). Age-matched healthy volunteers (n = 20) and individuals with recent-onset type 1 diabetes (n = 9) served as control groups. RESULTS In autoAb(+) FDRs, M 120-150 min below the 10th percentile (P10) of controls achieved 86% diagnostic efficiency in discriminating between normoglycaemic FDRs and individuals with (impending) dysglycaemia. M 120-150 min outperformed AUC5-10 min and AUC120-150 min C-peptide below P10 of controls, which were only 59-68% effective. Among GV variables, CGM above the reference range was better at detecting (impending) dysglycaemia than elevated SMBG (77-82% vs 73% efficiency). Combined CGM measures were equally efficient as M 120-150 min (86%). Daytime GV variables were inversely correlated with clamp variables, and more strongly with M 120-150 min than with AUC5-10 min or AUC120-150 min C-peptide. CONCLUSIONS/INTERPRETATION CGM-derived GV and the glucose disposal rate, reflecting both insulin secretion and action, outperformed SMBG and first- or second-phase AUC C-peptide in identifying FDRs with (impending) dysglycaemia or diabetes. Our results indicate the feasibility of developing minimally invasive CGM-based criteria for close metabolic monitoring and as outcome measures in trials.
Collapse
Affiliation(s)
- Annelien Van Dalem
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Simke Demeester
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Eric V Balti
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Katelijn Decochez
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Ilse Weets
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium.
- Department of Clinical Chemistry and Radio-immunology, University Hospital Brussels, Brussels, Belgium.
| | - Evy Vandemeulebroucke
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Ursule Van de Velde
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
- Department of Diabetology, University Hospital Brussels, Brussels, Belgium
| | - An Walgraeve
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | | | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University Hospital Antwerp, Antwerp, Belgium
| | - Johannes Ruige
- Department of Endocrinology, University Hospital Ghent, Ghent, Belgium
| | - Pieter Gillard
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
- Department of Endocrinology, University Hospital Leuven, Leuven, Belgium
| | - Bart Keymeulen
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
- Department of Diabetology, University Hospital Brussels, Brussels, Belgium
| | - Daniel G Pipeleers
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
| | - Frans K Gorus
- Diabetes Research Center, Vrije Universiteit Brussel, Laarbeeklaan 100, 1090, Brussels, Belgium
- Department of Clinical Chemistry and Radio-immunology, University Hospital Brussels, Brussels, Belgium
| | | |
Collapse
|
9
|
Demeester S, Keymeulen B, Kaufman L, Van Dalem A, Balti EV, Van de Velde U, Goubert P, Verhaeghen K, Davidson HW, Wenzlau JM, Weets I, Pipeleers DG, Gorus FK. Preexisting insulin autoantibodies predict efficacy of otelixizumab in preserving residual β-cell function in recent-onset type 1 diabetes. Diabetes Care 2015; 38:644-51. [PMID: 25583753 PMCID: PMC4370324 DOI: 10.2337/dc14-1575] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Immune intervention trials in recent-onset type 1 diabetes would benefit from biomarkers associated with good therapeutic response. In the previously reported randomized placebo-controlled anti-CD3 study (otelixizumab; GlaxoSmithKline), we tested the hypothesis that specific diabetes autoantibodies might serve this purpose. RESEARCH DESIGN AND METHODS In the included patients (n = 40 otelixizumab, n = 40 placebo), β-cell function was assessed as area under the curve (AUC) C-peptide release during a hyperglycemic glucose clamp at baseline (median duration of insulin treatment: 6 days) and every 6 months until 18 months after randomization. (Auto)antibodies against insulin (I[A]A), GAD (GADA), IA-2 (IA-2A), and ZnT8 (ZnT8A) were determined on stored sera by liquid-phase radiobinding assay. RESULTS At baseline, only better preserved AUC C-peptide release and higher levels of IAA were associated with better preservation of β-cell function and lower insulin needs under anti-CD3 treatment. In multivariate analysis, IAA (P = 0.022) or the interaction of IAA and C-peptide (P = 0.013) independently predicted outcome together with treatment. During follow-up, good responders to anti-CD3 treatment (i.e., IAA(+) participants with relatively preserved β-cell function [≥ 25% of healthy control subjects]) experienced a less pronounced insulin-induced rise in I(A)A and lower insulin needs. GADA, IA-2A, and ZnT8A levels were not influenced by anti-CD3 treatment, and their changes showed no relation to functional outcome. CONCLUSIONS There is important specificity of IAA among other diabetes autoantibodies to predict good therapeutic response of recent-onset type 1 diabetic patients to anti-CD3 treatment. If confirmed, future immune intervention trials in type 1 diabetes should consider both relatively preserved functional β-cell mass and presence of IAA as inclusion criteria.
Collapse
Affiliation(s)
- Simke Demeester
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Bart Keymeulen
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Leonard Kaufman
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Annelien Van Dalem
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Eric V Balti
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Ursule Van de Velde
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Patrick Goubert
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Katrijn Verhaeghen
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Howard W Davidson
- Barbara Davis Center for Childhood Diabetes, University of Colorado at Denver, Aurora, CO
| | - Janet M Wenzlau
- Barbara Davis Center for Childhood Diabetes, University of Colorado at Denver, Aurora, CO
| | - Ilse Weets
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Daniel G Pipeleers
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| | - Frans K Gorus
- Diabetes Research Center and University Hospital Brussels (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium
| |
Collapse
|