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Callebaut A, Guyer P, Derua R, Buitinga M, Manganaro A, Yi X, Sodré FMC, Vig S, Suleiman M, Marchetti P, Eizirik DL, Kent SC, Mathieu C, James EA, Overbergh L. CD4+ T Cells From Individuals With Type 1 Diabetes Respond to a Novel Class of Deamidated Peptides Formed in Pancreatic Islets. Diabetes 2024; 73:728-742. [PMID: 38387030 PMCID: PMC11043062 DOI: 10.2337/db23-0588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 02/05/2024] [Indexed: 02/24/2024]
Abstract
The β-cell plays a crucial role in the pathogenesis of type 1 diabetes, in part through the posttranslational modification of self-proteins by biochemical processes such as deamidation. These neoantigens are potential triggers for breaking immune tolerance. We report the detection by LC-MS/MS of 16 novel Gln and 27 novel Asn deamidations in 14 disease-related proteins within inflammatory cytokine-stressed human islets of Langerhans. T-cell clones responsive against one Gln- and three Asn-deamidated peptides could be isolated from peripheral blood of individuals with type 1 diabetes. Ex vivo HLA class II tetramer staining detected higher T-cell frequencies in individuals with the disease compared with control individuals. Furthermore, there was a positive correlation between the frequencies of T cells specific for deamidated peptides, insulin antibody levels at diagnosis, and duration of disease. These results highlight that stressed human islets are prone to enzymatic and biochemical deamidation and suggest that both Gln- and Asn-deamidated peptides can promote the activation and expansion of autoreactive CD4+ T cells. These findings add to the growing evidence that posttranslational modifications undermine tolerance and may open the road for the development of new diagnostic and therapeutic applications for individuals living with type 1 diabetes. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Aïsha Callebaut
- Laboratory of Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
| | - Perrin Guyer
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
| | - Rita Derua
- Laboratory of Protein Phosphorylation and Proteomics, KU Leuven, Leuven, Belgium
| | - Mijke Buitinga
- Laboratory of Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Anthony Manganaro
- Diabetes Center of Excellence, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA
| | - Xiaoyan Yi
- ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Saurabh Vig
- Laboratory of Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Mara Suleiman
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Piero Marchetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Decio L. Eizirik
- ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles, Brussels, Belgium
| | - Sally C. Kent
- Diabetes Center of Excellence, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA
| | - Chantal Mathieu
- Laboratory of Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
| | - Eddie A. James
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
| | - Lut Overbergh
- Laboratory of Clinical and Experimental Endocrinology, KU Leuven, Leuven, Belgium
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Callebaut A, Guyer P, Baker RL, Gallegos JB, Hohenstein AC, Gottlieb PA, Mathieu C, Overbergh L, Haskins K, James EA. An Insulin-Chromogranin A Hybrid Peptide Activates DR11-Restricted T Cells in Human Type 1 Diabetes. Diabetes 2024; 73:743-750. [PMID: 38295386 PMCID: PMC11043060 DOI: 10.2337/db23-0622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 01/23/2024] [Indexed: 02/02/2024]
Abstract
Hybrid insulin peptides (HIPs) formed through covalent cross-linking of proinsulin fragments to secretory granule peptides are detectable within murine and human islets. The 2.5HIP (C-peptide-chromogranin A [CgA] HIP), recognized by the diabetogenic BDC-2.5 clone, is a major autoantigen in the nonobese diabetic mouse. However, the relevance of this epitope in human disease is currently unclear. A recent study probed T-cell reactivity toward HIPs in patients with type 1 diabetes, documenting responses in one-third of the patients and isolating several HIP-reactive T-cell clones. In this study, we isolated a novel T-cell clone and showed that it responds vigorously to the human equivalent of the 2.5HIP (designated HIP9). Although the responding patient carried the risk-associated DRB1*04:01/DQ8 haplotype, the response was restricted by DRB1*11:03 (DR11). HLA class II tetramer staining revealed higher frequencies of HIP9-reactive T cells in individuals with diabetes than in control participants. Furthermore, in DR11+ participants carrying the DRB4 allele, HIP9-reactive T-cell frequencies were higher than observed frequencies for the immunodominant proinsulin 9-28 epitope. Finally, there was a negative correlation between HIP9-reactive T-cell frequency and age at diagnosis. These results provide direct evidence that this C-peptide-CgA HIP is relevant in human type 1 diabetes and suggest a mechanism by which nonrisk HLA haplotypes may contribute to the development of β-cell autoimmunity. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Aïsha Callebaut
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
- Laboratory of Clinical and Experimental Endocrinology, Catholic University of Leuven, Leuven, Belgium
| | - Perrin Guyer
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
| | - Rocky L. Baker
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO
| | - Joylynn B. Gallegos
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Anita C. Hohenstein
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO
| | - Peter A. Gottlieb
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Chantal Mathieu
- Laboratory of Clinical and Experimental Endocrinology, Catholic University of Leuven, Leuven, Belgium
| | - Lut Overbergh
- Laboratory of Clinical and Experimental Endocrinology, Catholic University of Leuven, Leuven, Belgium
| | - Kathryn Haskins
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO
| | - Eddie A. James
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA
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Gombault-Datzenko E, Costa N, Mounié M, Tavassoli N, Mathieu C, Roussel H, Lagarrigue JM, Berard E, Rolland Y, Molinier L. Cost of care pathways before and after appropriate and inappropriate transfers to the emergency department among nursing home residents: results from the FINE study. BMC Geriatr 2024; 24:353. [PMID: 38641801 PMCID: PMC11027376 DOI: 10.1186/s12877-024-04946-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 04/03/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Transfers of nursing home (NH) residents to the emergency department (ED) is frequent. Our main objective was to assess the cost of care pathways 6 months before and after the transfer to the emergency department among NH residents, according to the type of transfer (i.e. appropriate or inappropriate). METHODS This was a part of an observational, multicenter, case-control study: the Factors associated with INappropriate transfer to the Emergency department among nursing home residents (FINE) study. Sixteen public hospitals of the former Midi-Pyrénées region participated in recruitment, in 2016. During the inclusion period, all NH residents arriving at the ED were included. A pluri-disciplinary team categorized each transfer to the ED into 2 groups: appropriate or inappropriate. Direct medical and nonmedical costs were assessed from the French Health Insurance (FHI) perspective. Healthcare resources were retrospectively gathered from the FHI database and valued using the tariffs reimbursed by the FHI. Costs were recorded over a 6-month period before and after transfer to the ED. Other variables were used for analysis: sex, age, Charlson score, season, death and presence inside the NH of a coordinating physician or a geriatric nursing assistant. RESULTS Among the 1037 patients initially included in the FINE study, 616 who were listed in the FHI database were included in this economic study. Among them, 132 (21.4%) had an inappropriate transfer to the ED. In the 6 months before ED transfer, total direct costs on average amounted to 8,145€ vs. 6,493€ in the inappropriate and appropriate transfer groups, respectively. In the 6 months after ED transfer, they amounted on average to 9,050€ vs. 12,094€. CONCLUSIONS Total costs on average are higher after transfer to the ED, but there is no significant increase in healthcare expenditure with inappropriate ED transfer. Support for NH staff and better pathways of care could be necessary to reduce healthcare expenditures in NH residents. TRIAL REGISTRATION clinicaltrials.gov, NCT02677272.
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Affiliation(s)
- E Gombault-Datzenko
- Present address: Department of Medical Information (DIM), Toulouse University Hospital, 2 rue Viguerie, Toulouse Cedex 9, 31059, France.
| | - N Costa
- Present address: Department of Medical Information (DIM), Toulouse University Hospital, 2 rue Viguerie, Toulouse Cedex 9, 31059, France
- INSERM, UMR 1295, Toulouse, France
| | - M Mounié
- Present address: Department of Medical Information (DIM), Toulouse University Hospital, 2 rue Viguerie, Toulouse Cedex 9, 31059, France
- INSERM, UMR 1295, Toulouse, France
| | - N Tavassoli
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - C Mathieu
- Gérontopôle, Toulouse University Hospital, Toulouse, France
- CREAI-ORS Occitanie, Toulouse, France
| | - H Roussel
- CNAM, DRSM Occitanie, 2 rue Georges Vivent, Toulouse, 31082, France
| | - J M Lagarrigue
- MSA Midi-Pyrénées Nord, 180 Avenue Marcel Unal, Montauban, 82000, France
| | - E Berard
- INSERM, UMR 1295, Toulouse, France
- Department of Epidemiology, University Hospital of Toulouse, 37 Allées Jules Guesde, Toulouse, 31000, France
| | - Y Rolland
- INSERM, UMR 1295, Toulouse, France
- Gérontopôle, Toulouse University Hospital, Toulouse, France
| | - L Molinier
- Present address: Department of Medical Information (DIM), Toulouse University Hospital, 2 rue Viguerie, Toulouse Cedex 9, 31059, France
- INSERM, UMR 1295, Toulouse, France
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De Groote R, Lefever E, Charleer S, Donné P, Block CD, Mathieu C, Gillard P. Continuous Glucose Monitoring-Derived Glucometrics in Adults with Type 1 Diabetes When Switching Basal Insulins. Diabetes Technol Ther 2024. [PMID: 38512387 DOI: 10.1089/dia.2023.0616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Context: Limited evidence is available on the real-world effect of insulin degludec (IDeg) in type 1 diabetes (T1D), using continuous glucose monitoring (CGM)-derived metrics. Objective: To assess the real-world effect of switching to IDeg from other long-acting insulins on time in ranges (TIRs) measured by CGM, metabolic control, and insulin dose for people with T1D. Design: This retrospective multicenter study encompassed five time points during a 12-month pre-switch of IDeg and a 12-month follow-up period. For each visit, clinical and CGM data were collected to evaluate temporal trends in glycemic outcomes. Participants: Of 753 persons with T1D who were assessed for eligibility, 486 persons were included, mostly men (61.5%), 47.4 (16.9) years old and diabetes duration of 23.8 (14.2) years at IDeg-initiation. Main Outcome Measure: Primary outcome was the evolution of percent TIR (70-180 mg/dL or 3.9-10.0 mmol/L, TIR) before versus after switch to IDeg. Results: TIR over 24 h increased at 12 months versus baseline (56.7% vs. 52.3%, P < 0.001), mostly during daytime. Time <54 mg/dL (<3.0 mmol/L) over 24 h decreased at 12 months versus baseline (2.02% vs. 2.86%, P < 0.001), mostly during nighttime. Glycated hemoglobin (7.9% vs. 8.1%, P < 0.001) and coefficient of variation (40.0% vs. 41.5%, P < 0.001) improved at 12 months versus baseline. Mean daily basal, bolus and total insulin doses decreased at 12 months (P < 0.001 for all vs. baseline). Conclusions: This retrospective real-world study reports that switching basal insulin significantly improved time spent in glucometric ranges and glycemic variability in the studied population of people with T1D. Clinical Trial Registration number: NCT05434559.
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Affiliation(s)
- Robbe De Groote
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Eveline Lefever
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Phebe Donné
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Edegem, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Edegem, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
- Fonds Wetenschappelijk Onderzoek (FWO), Brussels, Belgium
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Lannoo M, Simoens C, Vangoitsenhoven R, Gillard P, D'Hoore A, De Vadder M, Mertens A, Deleus E, Steenackers N, Mathieu C, Van der Schueren B. Comparative impact of Roux-en-Y gastric bypass, sleeve gastrectomy or diet alone on beta-cell function in insulin-treated type 2 diabetes patients. Sci Rep 2024; 14:8211. [PMID: 38589596 PMCID: PMC11001928 DOI: 10.1038/s41598-024-59048-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 04/05/2024] [Indexed: 04/10/2024] Open
Abstract
Although bariatric surgery is an effective treatment for type 2 diabetes by inducing weight loss and augmenting gut hormone secretion, the immediate effect on beta-cell function itself remains to be elucidated in type 2 diabetes. Therefore, a prospective, randomized trial was performed in 30 patients with insulin-treated type 2 diabetes and a body mass index ≥ 35 kg/m2. Patients were randomly assigned (1:1:1) to Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) in combination with protein-sparing modified fast (PSMF), or to PSMF alone. Eu- and hyperglycemic clamps were performed before and 3 weeks after surgery and/or PSMF initiation. The primary outcome was the evolution of insulin sensitivity and beta-cell function after surgery, calculated using the composite measures of glucose disposal rate, insulin secretion rate, and disposition index (DI). Results revealed that markers of insulin sensitivity increased similarly in all arms (p = 0.43). A higher marker for maximal beta-cell function was observed when comparing SG to PSMF (p = 0.007). The DI showed a clear positive evolution after RYGB and SG, but not after PSMF alone. Altogether, these findings indicate that bariatric surgery results in an immediate beta-cell function recovery in insulin-treated type 2 diabetes.
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Affiliation(s)
- Matthias Lannoo
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Caroline Simoens
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Laboratory of Ion Channel Research, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Roman Vangoitsenhoven
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Pieter Gillard
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - André D'Hoore
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Mieke De Vadder
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Ann Mertens
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Ellen Deleus
- Department of Abdominal Surgery, University Hospitals Leuven, Leuven, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Nele Steenackers
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Bart Van der Schueren
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
- Department of Endocrinology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium.
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Bajaj HS, Ásbjörnsdóttir B, Carstensen L, Laugesen C, Mathieu C, Philis-Tsimikas A, Battelino T. Continuous Glucose Monitoring-Based Metrics and Hypoglycemia Duration in Insulin-Experienced Individuals With Long-standing Type 2 Diabetes Switched From a Daily Basal Insulin to Once-Weekly Insulin Icodec: Post Hoc Analysis of ONWARDS 2 and ONWARDS 4. Diabetes Care 2024; 47:729-738. [PMID: 38380954 DOI: 10.2337/dc23-2136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/23/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE This post hoc analysis assessed continuous glucose monitoring (CGM)-based metrics and hypoglycemia duration with once-weekly insulin icodec versus once-daily basal insulin analogs in insulin-experienced individuals with long-standing type 2 diabetes from two 26-week phase 3a trials (ONWARDS 2 and ONWARDS 4). RESEARCH DESIGN AND METHODS Time in range (TIR) (3.9-10.0 mmol/L), time above range (TAR) (>10.0 mmol/L), and time below range (TBR) (<3.9 mmol/L and <3.0 mmol/L) were assessed during three CGM time periods (switch [weeks 0-4], end of treatment [weeks 22-26], and follow-up [weeks 27-31]) for icodec versus comparators (ONWARDS 2, insulin degludec [basal regimen]; ONWARDS 4, insulin glargine U100 [basal-bolus regimen]) using double-blind CGM data. CGM-derived hypoglycemic episode duration (<3.9 mmol/L) was assessed. RESULTS In both trials, there were no statistically significant differences in TIR, TAR, or TBR (<3.0 mmol/L) for icodec versus comparators across all time periods. In the end-of-treatment period, mean TIR was 63.1% (icodec) vs. 59.5% (degludec) in ONWARDS 2 and 66.9% (icodec) vs. 66.4% (glargine U100) in ONWARDS 4. Mean TBR <3.9 mmol/L and <3.0 mmol/L remained within recommended targets (<4% and <1%, respectively) across time periods and treatment arms. Hypoglycemic episode duration (<3.9 mmol/L) was comparable across time periods and treatment arms (median duration ≤40 min). CONCLUSIONS In insulin-experienced participants with long-standing type 2 diabetes, CGM-based TIR, TAR, and CGM-derived hypoglycemia duration (<3.9 mmol/L) were comparable for icodec and once-daily basal insulin analogs during all time periods. TBR remained within recommended targets.
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Affiliation(s)
| | | | | | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, University of Leuven, Leuven, Belgium
| | | | - Tadej Battelino
- University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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7
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Minschart C, Myngheer N, Maes T, De Block C, Van Pottelbergh I, Abrams P, Vinck W, Leuridan L, Driessens S, Mathieu C, Billen J, Matthys C, Laenen A, Bogaerts A, Benhalima K. Effectiveness of a blended mobile-based lifestyle intervention in women with glucose intolerance after a recent history of gestational diabetes (MELINDA): a 1-year, prospective, multicentre, randomised controlled trial. EClinicalMedicine 2024; 70:102523. [PMID: 38495521 PMCID: PMC10940944 DOI: 10.1016/j.eclinm.2024.102523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/02/2024] [Accepted: 02/20/2024] [Indexed: 03/19/2024] Open
Abstract
Background Women with glucose intolerance after gestational diabetes mellitus (GDM) are at high risk to develop type 2 diabetes. Traditional lifestyle interventions in early postpartum have limited impact. We investigated the efficacy of a blended mobile-based lifestyle intervention in women with glucose intolerance after a recent history of GDM. Methods Prospective, double-arm, non-masked, multicentre randomised controlled trial (RCT) in which women with glucose intolerance, diagnosed 6-16 weeks after a GDM-complicated pregnancy, were assigned 1:1 to a one-year blended-care, telephone- and mobile-based lifestyle program (intervention) or usual care (control). Primary endpoint was the proportion of women able to achieve their weight goal (≥5% weight loss if prepregnancy BMI ≥ 25 kg/m2 or return to prepregnancy weight if prepregnancy BMI < 25 kg/m2) in the intention-to-treat sample. Key secondary outcomes were frequency of glucose intolerance, diabetes and metabolic syndrome, and lifestyle-related outcomes assessed with self-administered questionnaires. The study was registered in ClinicalTrials.gov (NCT03559621). Findings Between April 10th 2019 and May 13th 2022, 240 participants were assigned to the intervention (n = 121) or control group (n = 119), of which 167 (n = 82 in intervention and n = 85 in control group) completed the study. Primary outcome was achieved by 46.3% (56) of intervention participants compared to 43.3% (52) in the control group [odds ratio (OR) 1.13, 95% confidence interval (CI) 0.63-2.03, p = 0.680; risk ratio 1.07, 95% CI (0.78-1.48)]. Women in the intervention group developed significantly less often metabolic syndrome compared to the control group [7.3% (6) vs. 16.5% (14), OR 0.40, CI (0.22-0.72), p = 0.002], reported less sedentary behaviour and higher motivation for continuing healthy behaviours. In the intervention group, 84.1% (69) attended at least eight telephone sessions and 70.7% (58) used the app at least once weekly. Interpretation A blended, mobile-based lifestyle intervention was not effective in achieving weight goals, but reduced the risk to develop metabolic syndrome. Funding Research fund of University Hospitals Leuven, Novo Nordisk, Sanofi, AstraZeneca, Boehringer-Ingelheim, Lilly.
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Affiliation(s)
- Caro Minschart
- Department of Endocrinology, University Hospitals Leuven, Leuven 3000, Belgium
| | - Nele Myngheer
- Department of Endocrinology, General Hospital Groeninge, Kortrijk 8500, Belgium
| | - Toon Maes
- Department of Endocrinology, Imelda Hospital, Bonheiden 2820, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Edegem 2650, Belgium
| | | | - Pascale Abrams
- Department of Endocrinology, ZAS Sint-Vincentius, Antwerp 2018, Belgium
- Department of Endocrinology, ZAS Sint-Augustinus, Wilrijk 2610, Belgium
| | - Wouter Vinck
- Department of Endocrinology, ZAS Sint-Augustinus, Wilrijk 2610, Belgium
| | - Liesbeth Leuridan
- Department of Endocrinology, General Hospital Klina, Brasschaat 2930, Belgium
| | - Sabien Driessens
- Department of Endocrinology, General Hospital Klina, Brasschaat 2930, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, Leuven 3000, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven 3000, Belgium
| | - Jaak Billen
- Department of Laboratory Medicine, University Hospitals Leuven, Leuven 3000, Belgium
| | - Christophe Matthys
- Department of Endocrinology, University Hospitals Leuven, Leuven 3000, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven 3000, Belgium
| | - Annouschka Laenen
- Centre of Biostatics and Statistical Bioinformatics, KU Leuven, Leuven 3000, Belgium
| | - Annick Bogaerts
- Department of Development and Regeneration, KU Leuven, Leuven 3000, Belgium
- Faculty of Health, University of Plymouth, Devon PL4 8AA, United Kingdom
| | - Katrien Benhalima
- Department of Endocrinology, University Hospitals Leuven, Leuven 3000, Belgium
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven 3000, Belgium
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Visser MM, Van Muylder A, Charleer S, Isitt JJ, Roze S, De Block C, Maes T, Vanhaverbeke G, Nobels F, Keymeulen B, Mathieu C, Luyten J, Gillard P, Verhaeghe N. Cost-utility analysis of Dexcom G6 real-time continuous glucose monitoring versus FreeStyle Libre 1 intermittently scanned continuous glucose monitoring in adults with type 1 diabetes in Belgium. Diabetologia 2024; 67:650-662. [PMID: 38236409 DOI: 10.1007/s00125-023-06084-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/08/2023] [Indexed: 01/19/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to assess the long-term cost-effectiveness of Dexcom G6 real-time continuous glucose monitoring (rtCGM) with alert functionality compared with FreeStyle Libre 1 intermittently scanned continuous glucose monitoring (isCGM) without alerts in adults with type 1 diabetes in Belgium. METHODS The IQVIA CORE Diabetes Model was used to estimate cost-effectiveness. Input data for the simulated baseline cohort were sourced from the randomised ALERTT1 trial (ClinicalTrials.gov. REGISTRATION NO NCT03772600). The age of the participants was 42.9 ± 14.1 years (mean ± SD), and the baseline HbA1c was 57.8 ± 9.5 mmol/mol (7.4 ± 0.9%). Participants using rtCGM showed a reduction in HbA1c of 3.6 mmol/mol (0.36 percentage points) based on the 6-month mean between-group difference. In the base case, both rtCGM and isCGM were priced at €3.92/day (excluding value-added tax [VAT]) according to the Belgian reimbursement system. The analysis was performed from a Belgian healthcare payer perspective over a lifetime time horizon. Health outcomes were expressed as quality-adjusted life years. Probabilistic and one-way sensitivity analyses were used to account for parameter uncertainty. RESULTS In the base case, rtCGM dominated isCGM, resulting in lower diabetes-related complication costs and better health outcomes. The associated main drivers favouring rtCGM were lower HbA1c, fewer severe hypoglycaemic events and reduced fear of hypoglycaemia. The results were robust under a wide range of one-way sensitivity analyses. In models where the price of rtCGM is €5.11/day (a price increase of 30.4%) or €12.34/day (a price increase of 214.8%), rtCGM was cost-neutral or reached an incremental cost-effectiveness ratio of €40,000 per quality-adjusted life year, respectively. CONCLUSIONS/INTERPRETATION When priced similarly, Dexcom G6 rtCGM with alert functionality has both economic and clinical benefits compared with FreeStyle Libre 1 isCGM without alerts in adults with type 1 diabetes in Belgium, and appears to be a cost-effective glucose monitoring modality. Trial registration ClinicalTrials.gov NCT03772600.
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Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | | | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Toon Maes
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | | | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Bart Keymeulen
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Jeroen Luyten
- Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
| | - Nick Verhaeghe
- Research Institute for Work and Society, KU Leuven, Leuven, Belgium
- Department of Public Health and Primary Care, Interuniversity Centre for Health Economics Research, Ghent University, Ghent, Belgium
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9
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Marcovecchio ML, Hendriks AEJ, Delfin C, Battelino T, Danne T, Evans ML, Johannesen J, Kaur S, Knip M, Overbergh L, Pociot F, Todd JA, Van der Schueren B, Wicker LS, Peakman M, Mathieu C. The INNODIA Type 1 Diabetes Natural History Study: a European cohort of newly diagnosed children, adolescents and adults. Diabetologia 2024:10.1007/s00125-024-06124-5. [PMID: 38517484 DOI: 10.1007/s00125-024-06124-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/24/2024] [Indexed: 03/24/2024]
Abstract
AIMS/HYPOTHESIS Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual's clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical characteristics, autoantibodies, beta cell function and glycaemic outcomes, during the first 12 months from diagnosis, and how it relates to age at diagnosis. METHODS Data were collected from the large INNODIA cohort of individuals (aged 1.0-45.0 years) newly diagnosed with type 1 diabetes, followed 3 monthly, to assess clinical characteristics, C-peptide, HbA1c and diabetes-associated antibodies, and their changes, during the first 12 months from diagnosis, across three age groups: <10 years; 10-17 years; and ≥18 years. RESULTS The study population included 649 individuals (57.3% male; age 12.1±8.3 years), 96.9% of whom were positive for one or more diabetes-related antibodies. Baseline (IQR) fasting C-peptide was 242.0 (139.0-382.0) pmol/l (AUC 749.3 [466.2-1106.1] pmol/l × min), with levels increasing with age (p<0.001). Over time, C-peptide remained lower in participants aged <10 years but it declined in all age groups. In parallel, glucose levels progressively increased. Lower baseline fasting C-peptide, BMI SD score and presence of diabetic ketoacidosis at diagnosis were associated with lower stimulated C-peptide over time. HbA1c decreased during the first 3 months (p<0.001), whereas insulin requirement increased from 3 months post diagnosis (p<0.001). CONCLUSIONS/INTERPRETATION In this large cohort with newly diagnosed type 1 diabetes, we identified age-related differences in clinical and biochemical variables. Of note, C-peptide was lower in younger children but there were no main age differences in its rate of decline.
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Affiliation(s)
- M Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge, Cambridge, UK.
- Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
| | - A Emile J Hendriks
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Carl Delfin
- Department of Pharmacometrics, Novo Nordisk A/S, Søborg, Denmark
| | - Tadej Battelino
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Thomas Danne
- Centre for Paediatric Endocrinology, Diabetology, and Clinical Research, Auf Der Bult Children's Hospital, Hannover, Germany
| | - Mark L Evans
- Wellcome MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Jesper Johannesen
- Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen, Herlev, Denmark
| | - Simranjeet Kaur
- Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen, Herlev, Denmark
| | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Pediatric Research Center, New Children's Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Lut Overbergh
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Flemming Pociot
- Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen, Herlev, Denmark
| | - John A Todd
- Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Bart Van der Schueren
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Linda S Wicker
- Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mark Peakman
- Immunology & Inflammation Research Therapeutic Area, Sanofi, MA, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
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10
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Schnell O, Barnard-Kelly K, Battelino T, Ceriello A, Larsson HE, Fernández-Fernández B, Forst T, Frias JP, Gavin JR, Giorgino F, Groop PH, Heerspink HJL, Herzig S, Hummel M, Huntley G, Ibrahim M, Itzhak B, Jacob S, Ji L, Kosiborod M, Lalic N, Macieira S, Malik RA, Mankovsky B, Marx N, Mathieu C, Müller TD, Ray K, Rodbard HW, Rossing P, Rydén L, Schumm-Draeger PM, Schwarz P, Škrha J, Snoek F, Tacke F, Taylor B, Jeppesen BT, Tesfaye S, Topsever P, Vilsbøll T, Yu X, Standl E. CVOT Summit Report 2023: new cardiovascular, kidney, and metabolic outcomes. Cardiovasc Diabetol 2024; 23:104. [PMID: 38504284 PMCID: PMC10953147 DOI: 10.1186/s12933-024-02180-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
The 9th Cardiovascular Outcome Trial (CVOT) Summit: Congress on Cardiovascular, Kidney, and Metabolic Outcomes was held virtually on November 30-December 1, 2023. This reference congress served as a platform for in-depth discussions and exchange on recently completed outcomes trials including dapagliflozin (DAPA-MI), semaglutide (SELECT and STEP-HFpEF) and bempedoic acid (CLEAR Outcomes), and the advances they represent in reducing the risk of major adverse cardiovascular events (MACE), improving metabolic outcomes, and treating obesity-related heart failure with preserved ejection fraction (HFpEF). A broad audience of endocrinologists, diabetologists, cardiologists, nephrologists and primary care physicians participated in online discussions on guideline updates for the management of cardiovascular disease (CVD) in diabetes, heart failure (HF) and chronic kidney disease (CKD); advances in the management of type 1 diabetes (T1D) and its comorbidities; advances in the management of CKD with SGLT2 inhibitors and non-steroidal mineralocorticoid receptor antagonists (nsMRAs); and advances in the treatment of obesity with GLP-1 and dual GIP/GLP-1 receptor agonists. The association of diabetes and obesity with nonalcoholic steatohepatitis (NASH; metabolic dysfunction-associated steatohepatitis, MASH) and cancer and possible treatments for these complications were also explored. It is generally assumed that treatment of chronic diseases is equally effective for all patients. However, as discussed at the Summit, this assumption may not be true. Therefore, it is important to enroll patients from diverse racial and ethnic groups in clinical trials and to analyze patient-reported outcomes to assess treatment efficacy, and to develop innovative approaches to tailor medications to those who benefit most with minimal side effects. Other keys to a successful management of diabetes and comorbidities, including dementia, entail the use of continuous glucose monitoring (CGM) technology and the implementation of appropriate patient-physician communication strategies. The 10th Cardiovascular Outcome Trial Summit will be held virtually on December 5-6, 2024 ( http://www.cvot.org ).
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Affiliation(s)
- Oliver Schnell
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany.
| | | | - Tadej Battelino
- University Medical Center, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Helena Elding Larsson
- Department of Pediatrics, Skåne University Hospital, Malmö/Lund, Sweden
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | | | - Thomas Forst
- CRS Clinical Research Services Mannheim GmbH, Mannheim, Germany
| | | | - James R Gavin
- Emory University School of Medicine, Atlanta, GA, United States of America
| | - Francesco Giorgino
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | - Per-Henrik Groop
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Diabetes, Central Medical School, Monash University, Melbourne, Australia
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Stephan Herzig
- Division Diabetic Complications, Institute for Diabetes and Cancer, Helmholtz Center Munich, Neuherberg, Germany
| | - Michael Hummel
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany
| | - George Huntley
- Diabetes Leadership Council, Indianapolis, IN, United States of America
| | - Mahmoud Ibrahim
- Center for Diabetes Education, EDC, Charlotte, NC, United States of America
| | - Baruch Itzhak
- Clalit Health Services, Haifa, Israel
- Technion Faculty of Medicine, Haifa, Israel
| | - Stephan Jacob
- Practice for Prevention and Therapy and Cardio-Metabolic Institute, Villingen-Schwenningen, Germany
| | - Linong Ji
- Peking University People's Hospital, Xicheng District, Beijing, China
| | - Mikhail Kosiborod
- Department of Cardiovascular Disease, Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, MO, United States of America
| | - Nebosja Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Rayaz A Malik
- Weill Cornell Medicine-Qatar, Qatar Foundation-Education City, Ar-Rayyan, Doha, Qatar
| | - Boris Mankovsky
- Shupyk National Healthcare University of Ukraine, Kyiv, Ukraine
| | - Nikolaus Marx
- Clinic for Cardiology, Pneumology, Angiology and Internal Intensive Care Medicine (Medical Clinic I), RWTH Aachen University Hospital, Aachen, Germany
| | - Chantal Mathieu
- Department of Endocrinology, Catholic University Leuven, Leuven, Belgium
| | - Timo D Müller
- Institute for Diabetes and Obesity, Helmholtz Munich, Munich, Germany
- Walther-Straub Institute for Pharmacology and Toxicology, Ludwig-Maximilians-University Munich (LMU), Munich, Germany
| | - Kausik Ray
- School of Public Health, Imperial College London, London, United Kingdom
| | - Helena W Rodbard
- Endocrine and Metabolic Consultants, Rockville, MD, United States of America
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Rydén
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Peter Schwarz
- Medical Clinic III, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Jan Škrha
- Third Medical Department and Laboratory for Endocrinology and Metabolism, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Frank Snoek
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Charité Universitätsmedizin Berlin, Campus Virchow-Klinikum and Campus Charité Mitte, Berlin, Germany
| | - Bruce Taylor
- Diabetes Patient Advocacy Coalition, Tampa, FL, United States of America
| | | | - Solomon Tesfaye
- Sheffield Teaching Hospitals, Sheffield, United Kingdom
- University of Sheffield, Sheffield, United Kingdom
| | - Pinar Topsever
- Department of Family Medicine, Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Türkiye
| | - Tina Vilsbøll
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Xuefeng Yu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Eberhard Standl
- Forschergruppe Diabetes e. V, Helmholtz Center Munich, Ingolstaedter Landstraße 1, 85764, Neuherberg (Munich), Germany
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11
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Charleer S, Fieuws S, De Block C, Bolsens N, Nobels F, Mikkelsen K, Mathieu C, Gillard P. Evaluation of Glucose Metrics in Adults with Type 1 Diabetes Switching to Insulin Glargine 300 U/mL: A Retrospective, Propensity-Score Matched Study. Diabetes Technol Ther 2024. [PMID: 38386438 DOI: 10.1089/dia.2023.0371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Objectives: To study real-world effect of switching to Insulin Glargine 300 U/mL (Gla-300) on glucose metrics in people with type 1 diabetes. Methods: This retrospective secondary-use study compared 151 adults who switched to Gla-300 from first-generation long-acting insulins (Switchers) to 281 propensity-score matched controls (Non-switchers) who continued first-generation long-acting insulins. Primary endpoint was difference in time in range (TIR) evolution. A fictive "switching" date was assigned to Non-switchers to facilitate between-group comparisons. Results: In the period before switching, TIR decreased numerically for people in whom Gla-300 was eventually initiated (-0.05%/month [-0.16 to 0.07]), while it increased for matched controls (0.08%/month [0.02 to 0.015]; between-group difference P = 0.047). After Gla-300-initiation, Switchers had similar TIR increase compared to Non-switchers (P = 0.531). Switchers used higher basal dose than before switch (Δ0.012 U/[kg·d] [0.006 to 0.018]; P < 0.0001). Conclusion: In real-life, Gla-300 was typically initiated in people where TIR was decreasing, which was reversed after switch using slightly higher basal insulin dose. ClinicalTrials: ClinicalTrials.gov number NCT05109520.
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Affiliation(s)
- Sara Charleer
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Steffen Fieuws
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven and University of Hasselt, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp - University of Antwerp, Antwerp, Belgium
| | - Nancy Bolsens
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp - University of Antwerp, Antwerp, Belgium
| | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | | | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
- Fonds Wetenschappelijk Onderzoek (FWO), Brussels, Belgium
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12
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Mathieu C, Ahmed W, Gillard P, Cohen O, Vigersky R, de Portu S, Ozdemir Saltik AZ. The Health Economics of Automated Insulin Delivery Systems and the Potential Use of Time in Range in Diabetes Modeling: A Narrative Review. Diabetes Technol Ther 2024; 26:66-75. [PMID: 38377319 DOI: 10.1089/dia.2023.0438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Intensive therapy with exogenous insulin is the treatment of choice for individuals living with type 1 diabetes (T1D) and some with type 2 diabetes, alongside regular glucose monitoring. The development of systems allowing (semi-)automated insulin delivery (AID), by connecting glucose sensors with insulin pumps and algorithms, has revolutionized insulin therapy. Indeed, AID systems have demonstrated a proven impact on overall glucose control, as indicated by effects on glycated hemoglobin (HbA1c), risk of severe hypoglycemia, and quality of life measures. An alternative endpoint for glucose control that has arisen from the use of sensor-based continuous glucose monitoring is the time in range (TIR) measure, which offers an indication of overall glucose control, while adding information on the quality of control with regard to blood glucose level stability. A review of literature on the health-economic value of AID systems was conducted, with a focus placed on the growing place of TIR as an endpoint in studies involving AID systems. Results showed that the majority of economic evaluations of AID systems focused on individuals with T1D and found AID systems to be cost-effective. Most studies incorporated HbA1c, rather than TIR, as a clinical endpoint to determine treatment effects on glucose control and subsequent quality-adjusted life year (QALY) gains. Likely reasons for the choice of HbA1c as the chosen endpoint is the use of this metric in most validated and established economic models, as well as the limited publicly available evidence on appropriate methodologies for TIR data incorporation within conventional economic evaluations. Future studies could include the novel TIR metric in health-economic evaluations as an additional measure of treatment effects and subsequent QALY gains, to facilitate a holistic representation of the impact of AID systems on glycemic control. This would provide decision makers with robust evidence to inform future recommendations for health care interventions.
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Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Waqas Ahmed
- Covalence Research Ltd, Harpenden, United Kingdom
| | - Pieter Gillard
- Department of Endocrinology, UZ Gasthuisberg, Leuven, Belgium
| | - Ohad Cohen
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
| | | | - Simona de Portu
- Medtronic International Trading Sarl, Tolochenaz, Switzerland
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13
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Steenackers N, Feldman AN, Mathieu C, Rosen J, Soderberg J, Al-Ozairi E, le Roux CW, Van der Schueren B. The double burden: Navigating type 1 diabetes and obesity. Clin Obes 2024:e12645. [PMID: 38334191 DOI: 10.1111/cob.12645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/02/2024] [Accepted: 01/23/2024] [Indexed: 02/10/2024]
Affiliation(s)
- Nele Steenackers
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, Leuven, Belgium
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | | | | | - Ebaa Al-Ozairi
- Clinical Research Unit, Medical Division, Dasman Diabetes Institute, Kuwait City, Kuwait
- Department of Medicine, College of Medicine, Jabriya, Kuwait
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
| | - Bart Van der Schueren
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
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14
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Martens PJ, Mathieu C. Type 1 diabetes mellitus: a brave new world. Nat Rev Endocrinol 2024; 20:71-72. [PMID: 38057482 DOI: 10.1038/s41574-023-00936-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
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15
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Hendriks AEJ, Marcovecchio ML, Besser REJ, Bonifacio E, Casteels K, Elding Larsson H, Gemulla G, Lundgren M, Kordonouri O, Mallone R, Pociot F, Szypowska A, Toppari J, Berge TVD, Ziegler AG, Mathieu C, Achenbach P. Clinical care advice for monitoring of islet autoantibody positive individuals with presymptomatic type 1 diabetes. Diabetes Metab Res Rev 2024; 40:e3777. [PMID: 38375753 DOI: 10.1002/dmrr.3777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/24/2023] [Accepted: 01/15/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND/AIM Type 1 diabetes is an autoimmune disease that involves the development of autoantibodies against pancreatic islet beta-cell antigens, preceding clinical diagnosis by a period of preclinical disease activity. As screening activity to identify autoantibody-positive individuals increases, a rise in presymptomatic type 1 diabetes individuals seeking medical attention is expected. Current guidance on how to monitor these individuals in a safe but minimally invasive way is limited. This article aims to provide clinical guidance for monitoring individuals with presymptomatic type 1 diabetes to reduce the risk of diabetic ketoacidosis (DKA) at diagnosis. METHODS Expert consensus was obtained from members of the Fr1da, GPPAD, and INNODIA consortia, three European diabetes research groups. The guidance covers both specialist and primary care follow-up strategies. RESULTS The guidance outlines recommended monitoring approaches based on age, disease stage and clinical setting. Individuals with presymptomatic type 1 diabetes are best followed up in specialist care. For stage 1, biannual assessments of random plasma glucose and HbA1c are suggested for children, while annual assessments are recommended for adolescents and adults. For stage 2, 3-monthly clinic visits with additional home monitoring are advised. The value of repeat OGTT in stage 1 and the use of continuous glucose monitoring in stage 2 are discussed. Primary care is encouraged to monitor individuals who decline specialist care, following the guidance presented. CONCLUSIONS As type 1 diabetes screening programs become more prevalent, effective monitoring strategies are essential to mitigate the risk of complications such as DKA. This guidance serves as a valuable resource for clinicians, providing practical recommendations tailored to an individual's age and disease stage, both within specialist and primary care settings.
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Affiliation(s)
- A Emile J Hendriks
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - M Loredana Marcovecchio
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Rachel E J Besser
- Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Ezio Bonifacio
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Munich, Germany
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Helena Elding Larsson
- Department of Pediatrics, Skåne University Hospital, Malmö/Lund, Sweden
- Department of Clinical Sciences Malmö, Lund University, Malmö/Lund, Sweden
| | - Gita Gemulla
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University, Malmö/Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Roberto Mallone
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Paris, France
| | - Flemming Pociot
- Department of Clinical Research, Translational Type 1 Diabetes Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | - Jorma Toppari
- Institute of Biomedicine, Centre for Integrative Physiology and Pharmacology and Population Health Research Centre, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | | | - Anette G Ziegler
- German Center for Diabetes Research (DZD e.V.), Munich, Germany
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Technical University of Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, Katholieke Universiteit, Leuven, Belgium
| | - Peter Achenbach
- German Center for Diabetes Research (DZD e.V.), Munich, Germany
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Technical University of Munich, School of Medicine, Forschergruppe Diabetes at Klinikum Rechts der Isar, Munich, Germany
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16
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Mathieu C, Wiedeman A, Cerosaletti K, Long SA, Serti E, Cooney L, Vermeiren J, Caluwaerts S, Van Huynegem K, Steidler L, Blomme S, Rottiers P, Nepom GT, Herold KC. A first-in-human, open-label Phase 1b and a randomised, double-blind Phase 2a clinical trial in recent-onset type 1 diabetes with AG019 as monotherapy and in combination with teplizumab. Diabetologia 2024; 67:27-41. [PMID: 37782353 PMCID: PMC10709251 DOI: 10.1007/s00125-023-06014-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/21/2023] [Indexed: 10/03/2023]
Abstract
AIMS/HYPOTHESIS We hypothesised that islet beta cell antigen presentation in the gut along with a tolerising cytokine would lead to antigen-specific tolerance in type 1 diabetes. We evaluated this in a parallel open-label Phase 1b study using oral AG019, food-grade Lactococcus lactis bacteria genetically modified to express human proinsulin and human IL-10, as a monotherapy and in a parallel, randomised, double-blind Phase 2a study using AG019 in combination with teplizumab. METHODS Adults (18-42 years) and adolescents (12-17 years) with type 1 diabetes diagnosed within 150 days were enrolled, with documented evidence of at least one autoantibody and a stimulated peak C-peptide level >0.2 nmol/l. Participants were allocated to interventions using interactive response technology. We treated 42 people aged 12-42 years with recent-onset type 1 diabetes, 24 with Phase 1b monotherapy (open-label) and 18 with Phase 2a combination therapy. In the Phase 2a study, after treatment of the first two open-label participants, all people involved were blinded to group assignment, except for the Data Safety Monitoring Board members and the unblinded statistician. The primary endpoint was safety and tolerability based on the incidence of treatment-emergent adverse events, collected up to 6 months post treatment initiation. The secondary endpoints were pharmacokinetics, based on AG019 detection in blood and faeces, and pharmacodynamic activity. Metabolic and immune endpoints included stimulated C-peptide levels during a mixed meal tolerance test, HbA1c levels, insulin use, and antigen-specific CD4+ and CD8+ T cell responses using an activation-induced marker assay and pooled tetramers, respectively. RESULTS Data from 24 Phase 1b participants and 18 Phase 2a participants were analysed. No serious adverse events were reported and none of the participants discontinued AG019 due to treatment-emergent adverse events. No systemic exposure to AG019 bacteria, proinsulin or human IL-10 was demonstrated. In AG019 monotherapy-treated adults, metabolic variables were stabilised up to 6 months (C-peptide, insulin use) or 12 months (HbA1c) post treatment initiation. In participants treated with AG019/teplizumab combination therapy, all measured metabolic variables stabilised or improved up to 12 months and CD8+ T cells with a partially exhausted phenotype were significantly increased at 6 months. Circulating preproinsulin-specific CD4+ and CD8+ T cells were detected before and after treatment, with a reduction in the frequency of preproinsulin-specific CD8+ T cells after treatment with monotherapy or combination therapy. CONCLUSIONS/INTERPRETATION Oral delivery of AG019 was well tolerated and safe as monotherapy and in combination with teplizumab. AG019 was not shown to interfere with the safety profile of teplizumab and may have additional biological effects, including changes in preproinsulin-specific T cells. These preliminary data support continuing studies with this agent alone and in combination with teplizumab or other systemic immunotherapies in type 1 diabetes. TRIAL REGISTRATION ClinicalTrials.gov NCT03751007, EudraCT 2017-002871-24 FUNDING: This study was funded by Precigen ActoBio.
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Affiliation(s)
- Chantal Mathieu
- Clinical and Experimental Endocrinology, University Hospital of Leuven, Leuven, Belgium
| | - Alice Wiedeman
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Karen Cerosaletti
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | | | | | | | | | | | | | | | | | | | - Kevan C Herold
- Department of Immunology and Internal Medicine, Yale University, New Haven, CT, USA.
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17
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Yskout M, Vliebergh J, Bor H, Dupont L, Lorent N, Van Bleyenbergh P, Gillard P, Van der Schueren B, Mertens A, Mathieu C, Vangoitsenhoven R. Hypoglycaemia after Initiation of CFTR Modulator Therapy in a Cystic Fibrosis Patient without Diabetes. Case Rep Endocrinol 2023; 2023:9769119. [PMID: 38161769 PMCID: PMC10757659 DOI: 10.1155/2023/9769119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction Cystic fibrosis transmembrane regulator (CFTR) modulator therapies improve respiratory function and glycaemic control in patients with cystic fibrosis (CF). The direct effect of CFTR modulator therapies on pancreatic function in patients without preexisting diabetes remains unclear. Case Presentation. An 18-year-old female with CF caused by F508del/F508del mutation, who had no diabetes, developed postprandial hypoglycaemias 6 months after initiation of elexacaftor, tezacaftor, and ivacaftor combination therapy (ETI). Symptoms were persisted after brief discontinuation of ETI, but her symptoms and time-in-hypoglycaemia had improved remarkably by avoiding high glycaemic index-foods. Discussion. This case of hypoglycaemia associated with CFTR modulator therapy in a patient without preexisting diabetes suggests that CFTR modulator therapy has the potential to directly affect glucose homeostasis. There might be an improvement in insulin secretion as well as a reduction in systemic insulin resistance. Conclusion Treatment of CF patients without diabetes with CFTR modulator therapies can cause recurrent hypoglycaemic episodes which resolve with dietary measures.
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Affiliation(s)
| | | | - Hakan Bor
- Nutrition and Dietetic, Gumushane University, Gumushane, Türkiye
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Lieven Dupont
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Pneumology, UZ Leuven, Leuven, Belgium
| | - Natalie Lorent
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Pneumology, UZ Leuven, Leuven, Belgium
| | - Pascal Van Bleyenbergh
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
- Pneumology, UZ Leuven, Leuven, Belgium
| | - Pieter Gillard
- UZ Leuven, Endocrinology, Leuven, Belgium
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Bart Van der Schueren
- UZ Leuven, Endocrinology, Leuven, Belgium
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Ann Mertens
- UZ Leuven, Endocrinology, Leuven, Belgium
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Chantal Mathieu
- UZ Leuven, Endocrinology, Leuven, Belgium
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | - Roman Vangoitsenhoven
- UZ Leuven, Endocrinology, Leuven, Belgium
- Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
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18
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Bruggeman Y, Martens PJ, Sassi G, Viaene M, Wasserfall CH, Mathieu C, Gysemans C. Footprint of pancreas infiltrating and circulating immune cells throughout type 1 diabetes development. Front Endocrinol (Lausanne) 2023; 14:1275316. [PMID: 38027120 PMCID: PMC10667927 DOI: 10.3389/fendo.2023.1275316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Type 1 diabetes (T1D) is defined by immune cell infiltration of the pancreas, in particular the islets of Langerhans, referred to as insulitis, which is especially prominent during the early disease stages in association with decreased beta cell mass. An in-depth understanding of the dynamics and phenotype of the immune cells infiltrating the pancreas and the accompanying changes in their profiles in peripheral blood during T1D development is critical to generate novel preventive and therapeutic approaches, as well as to find biomarkers for the disease process. Methods Using multi-parameter flow cytometry, we explored the dynamic changes of immune cells infiltrating the pancreas and the pancreatic draining lymph nodes (PLN), compared to those in peripheral blood in female and male non-obese diabetic (NOD) mice during T1D progression. Results The early stages of T1D development were characterized by an influx of innate dendritic cells and neutrophils in the pancreas. While dendritic cells seemed to move in and out (to the PLN), neutrophils accumulated during the pre-symptomatic phase and reached a maximum at 8 weeks of age, after which their numbers declined. During disease progression, CD4+ and CD8+ T cells appeared to continuously migrate from the PLN to the pancreas, which coincided with an increase in beta cell autoimmunity and insulitis severity, and a decline in insulin content. At 12 weeks of age, CD4+ and especially CD8+ T cells in the pancreas showed a dramatic shift from naïve to effector memory phenotype, in contrast to the PLN, where most of these cells remained naïve. A large proportion of pancreas infiltrating CD4+ T cells were naïve, indicating that antigenic stimulation was not necessary to traffic and invade the pancreas. Interestingly, a pre-effector-like T cell dominated the peripheral blood. These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target. Conclusion These time- and tissue-dependent changes in the dynamics and functional states of CD4+ and CD8+ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.
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Affiliation(s)
- Ylke Bruggeman
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Pieter-Jan Martens
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Gabriele Sassi
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Marijke Viaene
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Clive H. Wasserfall
- Diabetes Institute, Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
| | - Conny Gysemans
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Leuven, Belgium
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19
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Giorgino F, Battelino T, Bergenstal RM, Forst T, Green JB, Mathieu C, Rodbard HW, Schnell O, Wilmot EG. The Role of Ultra-Rapid-Acting Insulin Analogs in Diabetes: An Expert Consensus. J Diabetes Sci Technol 2023:19322968231204584. [PMID: 37937585 DOI: 10.1177/19322968231204584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Ultra-rapid-acting insulin analogs (URAA) are a further development and refinement of rapid-acting insulin analogs. Because of their adapted formulation, URAA provide an even faster pharmacokinetics and thus an accelerated onset of insulin action than conventional rapid-acting insulin analogs, allowing for a more physiologic delivery of exogenously applied insulin. Clinical trials have confirmed the superiority of URAA in controlling postprandial glucose excursions, with a safety profile that is comparable to the rapid-acting insulins. Consequently, many individuals with diabetes mellitus may benefit from URAA in terms of prandial glycemic control. Unfortunately, there are only few available recommendations from authoritative sources for use of URAA in clinical practice. Therefore, this expert consensus report aims to define populations of people with diabetes mellitus for whom URAA may be beneficial and to provide health care professionals with concrete, practical recommendations on how best to use URAA in this context.
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Affiliation(s)
- Francesco Giorgino
- Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | - Tadej Battelino
- Department of Endocrinology, Diabetes and Metabolism, UCH-University Medical Center Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | - Thomas Forst
- Department of Endocrinology and Metabolic Diseases, Johannes Gutenberg University Medical Center, Mainz, Germany
- Clinical Research Services, Mannheim, Germany
| | - Jennifer B Green
- Division of Endocrinology and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | - Oliver Schnell
- Forschergruppe Diabetes eV at the Helmholtz Centre, Munich-Neuherberg, Germany
| | - Emma G Wilmot
- Department of Diabetes & Endocrinology, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
- Academic Unit for Translational Medical Sciences, University of Nottingham, Nottingham, England, UK
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20
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Russell-Jones D, Babazono T, Cailleteau R, Engberg S, Irace C, Kjaersgaard MIS, Mathieu C, Rosenstock J, Woo V, Klonoff DC. Once-weekly insulin icodec versus once-daily insulin degludec as part of a basal-bolus regimen in individuals with type 1 diabetes (ONWARDS 6): a phase 3a, randomised, open-label, treat-to-target trial. Lancet 2023; 402:1636-1647. [PMID: 37863084 DOI: 10.1016/s0140-6736(23)02179-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/21/2023] [Accepted: 09/23/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND ONWARDS 6 compared the efficacy and safety of once-weekly subcutaneous insulin icodec (icodec) and once-daily insulin degludec (degludec) in adults with type 1 diabetes. METHODS This 52-week (26-week main phase plus a 26-week safety extension), randomised, open-label, treat-to-target, phase 3a trial was done at 99 sites across 12 countries. Adults with type 1 diabetes (glycated haemoglobin [HbA1c] <10·0% [86 mmol/mol]) were randomly assigned (1:1) to once-weekly icodec or once-daily degludec, both in combination with insulin aspart (two or more daily injections). The primary endpoint was change in HbA1c from baseline to week 26, tested for non-inferiority (0·3 percentage point margin) in all randomly assigned participants. This trial is registered with ClinicalTrials.gov, NCT04848480, and is now complete. FINDINGS Between April 30 and Oct 15, 2021, of 655 participants screened, 582 participants were randomly assigned to icodec (n=290) or degludec (n=292). At week 26, from baseline values of 7·59% (icodec) and 7·63% (degludec), estimated mean changes in HbA1c were -0·47 percentage points and -0·51 percentage points, respectively (estimated treatment difference 0·05 percentage points [95% CI -0·13 to 0·23]), confirming non-inferiority of icodec to degludec (p=0·0065). Overall rate of combined clinically significant or severe hypoglycaemia (baseline to week 26) was statistically significantly higher with icodec than degludec (19·9 vs 10·4 events per patient-year of exposure; estimated rate ratio 1·9 [95% CI 1·5 to 2·3]; p<0·0001). The rate was also statistically significantly higher with icodec than degludec when evaluated over 57 weeks (52 weeks plus a 5-week follow-up period). 39 serious adverse events were reported in 24 (8%) participants receiving icodec, and 25 serious adverse events were reported in 20 (7%) participants receiving degludec. One participant in the icodec group died; this was judged unlikely to be due to the trial product. INTERPRETATION In adults with type 1 diabetes, once-weekly icodec showed non-inferiority to once-daily degludec in HbA1c reduction at week 26, with statistically significantly higher rates of combined clinically significant or severe hypoglycaemia. For icodec, time below 3·0 mmol/L (<54 mg/dL) was at the threshold of the internationally recommended target (<1%) during weeks 22-26 and below target during weeks 48-52. FUNDING Novo Nordisk.
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Affiliation(s)
- David Russell-Jones
- The Cedar Centre, Royal Surrey Foundation Trust, Guildford, UK; Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
| | - Tetsuya Babazono
- Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | | | | | - Concetta Irace
- Department of Health Science, University Magna Græcia, Viale Europa, Località Germaneto, Catanzaro, Italy
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, University of Leuven, Leuven, Belgium
| | | | - Vincent Woo
- University of Manitoba, Winnipeg, MB, Canada
| | - David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
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21
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Franks PW, Cefalu WT, Dennis J, Florez JC, Mathieu C, Morton RW, Ridderstråle M, Sillesen HH, Stehouwer CDA. Precision medicine for cardiometabolic disease: a framework for clinical translation. Lancet Diabetes Endocrinol 2023; 11:822-835. [PMID: 37804856 DOI: 10.1016/s2213-8587(23)00165-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 10/09/2023]
Abstract
Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); treatment (of the primary disease or its complications); and monitoring (of risk exposure, treatment response, and disease progression or remission). To contextualise precision medicine in both research and clinical settings, and to encourage the successful translation of discovery science into clinical practice, in this Series paper we outline a model (the EPPOS model) that builds on contemporary evidence-based approaches; includes precision medicine that improves disease-related predictions by stratifying a cohort into subgroups of similar characteristics, or using participants' characteristics to model treatment outcomes directly; includes personalised medicine with the use of a person's data to objectively gauge the efficacy, safety, and tolerability of therapeutics; and subjectively tailors medical decisions to the individual's preferences, circumstances, and capabilities. Precision medicine requires a well functioning system comprised of multiple stakeholders, including health-care recipients, health-care providers, scientists, health economists, funders, innovators of medicines and technologies, regulators, and policy makers. Powerful computing infrastructures supporting appropriate analysis of large-scale, well curated, and accessible health databases that contain high-quality, multidimensional, time-series data will be required; so too will prospective cohort studies in diverse populations designed to generate novel hypotheses, and clinical trials designed to test them. Here, we carefully consider these topics and describe a framework for the integration of precision medicine in cardiometabolic disease.
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Affiliation(s)
- Paul W Franks
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Harvard T H Chan School of Public Health, Boston, MA, USA.
| | - William T Cefalu
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John Dennis
- Institute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter, Exeter, UK
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Robert W Morton
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | | | - Henrik H Sillesen
- Department of Clinical Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Coen D A Stehouwer
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands; Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
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22
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Godelaine J, Chitale Y, De Moor B, Mathieu C, Ancheva L, Van Damme P, Claeys KG, Bossuyt X, Carpentier S, Poesen K. Peptides From the Variable Domain of Immunoglobulin G as Biomarkers in Chronic Inflammatory Demyelinating Polyradiculoneuropathy. Neurol Neuroimmunol Neuroinflamm 2023; 10:e200162. [PMID: 37640545 PMCID: PMC10462053 DOI: 10.1212/nxi.0000000000200162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND OBJECTIVES Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a clinically heterogeneous immune-mediated disease. Diagnostic biomarkers for CIDP are currently lacking. Peptides derived from the variable domain of circulating immunoglobulin G (IgG) have earlier been shown to be shared among patients with the same immunologic disease. Because humoral immune factors are hypothesized to be involved in the pathogenesis of CIDP, we evaluated IgG variable domain-derived peptides as diagnostic biomarkers in CIDP (primary objective) and whether IgG-derived peptides could cluster objective clinical entities in CIDP (secondary objective). METHODS IgG-derived peptides were determined in prospectively collected sera of patients with CIDP and neurologic controls by means of mass spectrometry. Peptides of interest were selected through statistical analysis in a discovery cohort followed by sequence determination and confirmation. Diagnostic performance was evaluated for individual selected peptides and for a multipeptide model incorporating selected peptides, followed by performance reassessment in a validation cohort. Clustering of patients with CIDP based on IgG-derived peptides was evaluated through unsupervised sparse principal component analysis followed by k-means clustering. RESULTS Sixteen peptides originating from the IgG variable domain were selected as candidate biomarkers in a discovery cohort of 44 patients with CIDP and 29 neurologic controls. For all 16 peptides, univariate logistic regressions and ROC curve analysis demonstrated increasing peptide abundances to associate with increased odds for CIDP (area under the curves [AUCs] ranging from 64.6% to 79.6%). When including age and sex in the logistic regression models, this remained the case for 13/16 peptides. A model composed of 5/16 selected peptides showed strong discriminating performance between patients with CIDP and controls (AUC 91.5%; 95% CI 84.6%-98.4%; p < 0.001). In the validation cohort containing 45 patients and 43 controls, 2/16 peptides demonstrated increasing abundances to associate with increased odds for CIDP, while the five-peptide model demonstrated an AUC of 61.2% (95% CI 49.3%-73.2%; p = 0.064). Peptide-based patient clusters did not associate with clinical features. DISCUSSION IgG variable domain-derived peptides showed a valid source for diagnostic biomarkers in CIDP, albeit with challenges toward replication. Our proof-of-concept findings warrant further study of IgG-derived peptides as biomarkers in more homogeneous cohorts of patients with CIDP and controls. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that the pattern of serum IgG-derived peptide clusters may help differentiate between patients with CIDP and those with other peripheral neuropathies.
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Affiliation(s)
- Joris Godelaine
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Yamini Chitale
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Bart De Moor
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Chantal Mathieu
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Lina Ancheva
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Philip Van Damme
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Kristl G Claeys
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Xavier Bossuyt
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Sebastien Carpentier
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium
| | - Koen Poesen
- From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium.
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23
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Moulder R, Välikangas T, Hirvonen MK, Suomi T, Brorsson CA, Lietzén N, Bruggraber SFA, Overbergh L, Dunger DB, Peakman M, Chmura PJ, Brunak S, Schulte AM, Mathieu C, Knip M, Elo LL, Lahesmaa R. Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory. Diabetologia 2023; 66:1983-1996. [PMID: 37537394 PMCID: PMC10542287 DOI: 10.1007/s00125-023-05974-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/06/2023] [Indexed: 08/05/2023]
Abstract
AIMS/HYPOTHESIS There is a growing need for markers that could help indicate the decline in beta cell function and recognise the need and efficacy of intervention in type 1 diabetes. Measurements of suitably selected serum markers could potentially provide a non-invasive and easily applicable solution to this challenge. Accordingly, we evaluated a broad panel of proteins previously associated with type 1 diabetes in serum from newly diagnosed individuals during the first year from diagnosis. To uncover associations with beta cell function, comparisons were made between these targeted proteomics measurements and changes in fasting C-peptide levels. To further distinguish proteins linked with the disease status, comparisons were made with measurements of the protein targets in age- and sex-matched autoantibody-negative unaffected family members (UFMs). METHODS Selected reaction monitoring (SRM) mass spectrometry analyses of serum, targeting 85 type 1 diabetes-associated proteins, were made. Sera from individuals diagnosed under 18 years (n=86) were drawn within 6 weeks of diagnosis and at 3, 6 and 12 months afterwards (288 samples in total). The SRM data were compared with fasting C-peptide/glucose data, which was interpreted as a measure of beta cell function. The protein data were further compared with cross-sectional SRM measurements from UFMs (n=194). RESULTS Eleven proteins had statistically significant associations with fasting C-peptide/glucose. Of these, apolipoprotein L1 and glutathione peroxidase 3 (GPX3) displayed the strongest positive and inverse associations, respectively. Changes in GPX3 levels during the first year after diagnosis indicated future fasting C-peptide/glucose levels. In addition, differences in the levels of 13 proteins were observed between the individuals with type 1 diabetes and the matched UFMs. These included GPX3, transthyretin, prothrombin, apolipoprotein C1 and members of the IGF family. CONCLUSIONS/INTERPRETATION The association of several targeted proteins with fasting C-peptide/glucose levels in the first year after diagnosis suggests their connection with the underlying changes accompanying alterations in beta cell function in type 1 diabetes. Moreover, the direction of change in GPX3 during the first year was indicative of subsequent fasting C-peptide/glucose levels, and supports further investigation of this and other serum protein measurements in future studies of beta cell function in type 1 diabetes.
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Affiliation(s)
- Robert Moulder
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Tommi Välikangas
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - M Karoliina Hirvonen
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Tomi Suomi
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Caroline A Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niina Lietzén
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | | | - Lut Overbergh
- Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium
| | - David B Dunger
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Mark Peakman
- Immunology & Inflammation Research Therapeutic Area, Sanofi, Boston, MA, USA
| | - Piotr J Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Soren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Chantal Mathieu
- Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium
| | - Mikael Knip
- Pediatric Research Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
| | - Laura L Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland.
- Institute of Biomedicine, University of Turku, Turku, Finland.
| | - Riitta Lahesmaa
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland.
- Institute of Biomedicine, University of Turku, Turku, Finland.
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24
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Atkinson MA, Haller MJ, Schatz DA, Battaglia M, Mathieu C. Time for changes in type 1 diabetes intervention trial designs. Lancet Diabetes Endocrinol 2023; 11:789-791. [PMID: 37802093 PMCID: PMC11022190 DOI: 10.1016/s2213-8587(23)00262-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/01/2023] [Indexed: 10/08/2023]
Affiliation(s)
- Mark A Atkinson
- Department of Pathology, University of Florida, Gainesville, FL, USA; Department of Pediatrics, University of Florida, Gainesville, FL, USA.
| | - Michael J Haller
- Department of Pediatrics, University of Florida, Gainesville, FL, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida, Gainesville, FL, USA
| | - Manuela Battaglia
- Department of Medicine, Katholieke Universiteit, University Hospital Gasthuisberg, Leuven, Belgium
| | - Chantal Mathieu
- Department of Medicine, Katholieke Universiteit, University Hospital Gasthuisberg, Leuven, Belgium; Division of Endocrinology, University Hospital Gasthuisberg, Leuven, Belgium
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25
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Jacobsen LM, Sherr JL, Considine E, Chen A, Peeling SM, Hulsmans M, Charleer S, Urazbayeva M, Tosur M, Alamarie S, Redondo MJ, Hood KK, Gottlieb PA, Gillard P, Wong JJ, Hirsch IB, Pratley RE, Laffel LM, Mathieu C. Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review. Commun Med (Lond) 2023; 3:132. [PMID: 37794113 PMCID: PMC10550996 DOI: 10.1038/s43856-023-00358-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mustafa Tosur
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Selma Alamarie
- Stanford University School of Medicine, Stanford, CA, USA
| | - Maria J Redondo
- Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Peter A Gottlieb
- Barbara Davis Center, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Jessie J Wong
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | | | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
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26
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Heerspink HJL, Birkenfeld AL, Cherney DZI, Colhoun HM, Ji L, Mathieu C, Groop PH, Pratley RE, Rosas SE, Rossing P, Skyler JS, Tuttle KR, Lawatscheck R, Scott C, Edfors R, Scheerer MF, Kolkhof P, McGill JB. Rationale and design of a randomised phase III registration trial investigating finerenone in participants with type 1 diabetes and chronic kidney disease: The FINE-ONE trial. Diabetes Res Clin Pract 2023; 204:110908. [PMID: 37805000 DOI: 10.1016/j.diabres.2023.110908] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 10/09/2023]
Abstract
AIMS Despite guideline-recommended treatments, including renin angiotensin system inhibition, up to 40 % of individuals with type 1 diabetes develop chronic kidney disease (CKD) putting them at risk of kidney failure. Finerenone is approved to reduce the risk of kidney failure in individuals with type 2 diabetes. We postulate that finerenone will demonstrate benefits on kidney outcomes in people with type 1 diabetes. METHODS FINE-ONE (NCT05901831) is a randomised, placebo-controlled, double-blind phase III trial of 7.5 months' duration in ∼220 adults with type 1 diabetes, urine albumin/creatinine ratio (UACR) of ≥ 200-< 5000 mg/g (≥ 22.6-< 565 mg/mmol) and eGFR of ≥ 25-< 90 ml/min/1.73 m2. RESULTS The primary endpoint is relative change in UACR from baseline over 6 months. UACR is used as a bridging biomarker (BB), since the treatment effect of finerenone on UACR was associated with its efficacy on kidney outcomes in the type 2 diabetes trials. Based on regulatory authority feedback, UACR can be used as a BB for kidney outcomes to support registration of finerenone in type 1 diabetes, provided necessary criteria are met. Secondary outcomes include incidences of treatment-emergent adverse events, treatment-emergent serious adverse events and hyperkalaemia. CONCLUSIONS FINE-ONE will evaluate the efficacy and safety of finerenone in type 1 diabetes and CKD. Finerenone could become the first registered treatment for CKD associated with type 1 diabetes in almost 30 years. TRIAL REGISTRATION ClinicalTrials.gov NCT05901831.
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Affiliation(s)
- Hiddo J L Heerspink
- Clinical Pharmacy and Pharmacology, University of Groningen University Medical Centre Groningen, PO Box 30.001, 9700 RB Groningen, Netherlands.
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Otfried Müller Street 47, 72076 Tübingen, Germany; German Centre for Diabetes Research (DZD), Neuherberg, Germany; Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - David Z I Cherney
- Division of Nephrology, University Health Network, Toronto General Hospital, University of Toronto, 585 University Ave, 8N-845, Toronto, Ontario M5G 2N2, Canada
| | - Helen M Colhoun
- Institute of Genetics and Cancer, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Linong Ji
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Centre, No 11, Xizhimen South Street, Beijing 100044, China
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Katholieke Universiteit Leuven, 3000 Leuven, Belgium
| | - Per-Henrik Groop
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki (C318b), Haartmaninkatu 8, FIN-00290 Helsinki, Finland
| | - Richard E Pratley
- AdventHealth Translational Research Institute, Orlando, FL 32804, USA
| | - Sylvia E Rosas
- Kidney and Hypertension Unit, Joslin Diabetes Center, Harvard Medical School, One Joslin Place, Boston, MA 02215, USA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen N, Denmark
| | - Jay S Skyler
- Department of Medicine, University of Miami, Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Katherine R Tuttle
- Providence Inland Northwest Health, University of Washington School of Medicine, 105 W. 8th Avenue, Suite 250 E, Spokane, WA 99204, USA
| | - Robert Lawatscheck
- Cardiology and Nephrology Clinical Research, Bayer AG, Research & Development, Pharmaceuticals, Clinical Development, Building S101, 13342 Berlin, Germany
| | - Charlie Scott
- Data Science and Analytics, Bayer PLC, Research & Development, Pharmaceuticals, 400 South Oak Way, Reading RG2 6AD, UK
| | - Robert Edfors
- Cardiovascular Studies & Pipeline, Medical Affairs & Pharmacovigilance, Pharmaceuticals, Bayer AG, Building S102, 13342 Berlin, Germany
| | - Markus F Scheerer
- Medical Affairs & Pharmacovigilance, Pharmaceuticals, TA CardioRenal & Heart Disease, Bayer AG, Building S102, 04/160, 13353 Berlin, Germany
| | - Peter Kolkhof
- Research and Development, Pharmaceuticals, Cardiovascular Precision Medicines, Bayer AG, 42113 Wuppertal, Germany
| | - Janet B McGill
- Division of Endocrinology, Metabolism & Lipid Research, Washington University in St. Louis, School of Medicine, 660 S. Euclid, Campus Box 8127, St. Louis, MO 63110, USA
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27
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Sassi G, Licata G, Ventriglia G, Wouters A, Lemaitre P, Seurinck R, Mori A, Grieco GE, Bissenova S, Ellis D, Caluwaerts S, Rottiers P, Vandamme N, Mathieu C, Dotta F, Gysemans C, Sebastiani G. A Plasma miR-193b-365 Signature Combined With Age and Glycemic Status Predicts Response to Lactococcus lactis-Based Antigen-Specific Immunotherapy in New-Onset Type 1 Diabetes. Diabetes 2023; 72:1470-1482. [PMID: 37494666 PMCID: PMC10545562 DOI: 10.2337/db22-0852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
Immunomodulation combined with antigen therapy holds great promise to arrest autoimmune type 1 diabetes, but clinical translation is hampered by a lack of prognostic biomarkers. Low-dose anti-CD3 plus Lactococcus lactis bacteria secreting proinsulin and IL-10 reversed new-onset disease in nonobese diabetic (NOD) mice, yet some mice were resistant to the therapy. Using miRNA profiling, six miRNAs (i.e., miR-34a-5p, miR-125a-3p, miR-193b-3p, miR-328, miR-365-3p, and miR-671-3p) were identified as differentially expressed in plasma of responder versus nonresponder mice before study entry. After validation and stratification in an independent cohort, plasma miR-193b-3p and miR-365-3p, combined with age and glycemic status at study entry, had the best power to predict, with high sensitivity and specificity, poor response to the therapy. These miRNAs were highly abundant in pancreas-infiltrating neutrophils and basophils with a proinflammatory and activated phenotype. Here, a set of miRNAs and disease-associated parameters are presented as a predictive signature for the L. lactis-based immunotherapy outcome in new-onset type 1 diabetes, hence allowing targeted recruitment of trial participants and accelerated trial execution. ARTICLE HIGHLIGHTS Low-dose anti-CD3 combined with oral gavage of genetically modified Lactococcus lactis bacteria secreting human proinsulin and IL-10 holds great promise to arrest autoimmune type 1 diabetes, but the absence of biomarkers predicting therapeutic success hampers clinical translation. A set of cell-free circulation miRNAs together with age and glycemia at baseline predicts a poor response after L. lactis-based immunotherapy in nonobese mice with new-onset diabetes. Pancreas-infiltrating neutrophils and basophils are identified as potential cellular sources of discovered miRNAs. The prognostic signature could guide targeted recruitment of patients with newly diagnosed type 1 diabetes in clinical trials with the L. lactis-based immunotherapy.
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Affiliation(s)
- Gabriele Sassi
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Giada Licata
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
- Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy
| | - Giuliana Ventriglia
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
- Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy
| | - Amber Wouters
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Pierre Lemaitre
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Ruth Seurinck
- Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Alessia Mori
- Tuscany Centre for Precision Medicine, Siena, Italy
| | - Giuseppina Emanuela Grieco
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
- Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy
| | - Samal Bissenova
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Darcy Ellis
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | | | | | - Niels Vandamme
- Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium
- VIB Single Cell Core, Leuven–Ghent, Ghent, Belgium
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Francesco Dotta
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
- Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy
- Tuscany Centre for Precision Medicine, Siena, Italy
| | - Conny Gysemans
- Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium
| | - Guido Sebastiani
- Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
- Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy
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28
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Mathieu C, Ahmadzai I. Incretins beyond type 2 diabetes. Diabetologia 2023; 66:1809-1819. [PMID: 37552238 DOI: 10.1007/s00125-023-05980-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/20/2023] [Indexed: 08/09/2023]
Abstract
Incretin-based therapies, in particular glucagon-like peptide-1 (GLP-1) receptor agonists, have been evaluated in other forms of diabetes, but randomised controlled trials are mainly limited to people living with type 1 diabetes. In this review we present the evidence issuing from these trials and discuss their clinical implications as well as the difficulties in interpreting the data. In type 1 diabetes, the addition of GLP-1 receptor agonists to intensive insulin therapy lowers weight and required insulin doses compared with placebo, but the effects on glucose control (HbA1c, risk of hypoglycaemia) are dependent on the different study protocols. Side effects are limited to the gastrointestinal complaints of nausea, vomiting and diarrhoea. We briefly discuss the potential for using GLP-1 receptor agonists as (adjunct) therapies in other forms of diabetes, where the evidence to date is scarce.
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Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium.
| | - Iraj Ahmadzai
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
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29
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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Frias JP, Deenadayalan S, Erichsen L, Knop FK, Lingvay I, Macura S, Mathieu C, Pedersen SD, Davies M. Efficacy and safety of co-administered once-weekly cagrilintide 2·4 mg with once-weekly semaglutide 2·4 mg in type 2 diabetes: a multicentre, randomised, double-blind, active-controlled, phase 2 trial. Lancet 2023; 402:720-730. [PMID: 37364590 DOI: 10.1016/s0140-6736(23)01163-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Combining the GLP-1 receptor agonist semaglutide with the long-acting amylin analogue cagrilintide has weight-loss benefits; the impact on glycated haemoglobin (HbA1c) is unknown. This trial assessed the efficacy and safety of co-administered semaglutide with cagrilintide (CagriSema) in participants with type 2 diabetes. METHODS This 32-week, multicentre, double-blind, phase 2 trial was conducted across 17 sites in the USA. Adults with type 2 diabetes and a BMI of 27 kg/m2 or higher on metformin with or without an SGLT2 inhibitor were randomly assigned (1:1:1) to once-weekly subcutaneous CagriSema, semaglutide, or cagrilintide (all escalated to 2·4 mg). Randomisation was done centrally using an interactive web response system and was stratified according to use of SGLT2 inhibitor treatment (yes vs no). The trial participants, investigators, and trial sponsor staff were masked to treatment assignment throughout the trial. The primary endpoint was change from baseline in HbA1c; secondary endpoints were bodyweight, fasting plasma glucose, continuous glucose monitoring (CGM) parameters, and safety. Efficacy analyses were performed in all participants who had undergone randomisation, and safety analyses in all participants who had undergone randomisation and received at least one dose of the trial medication. This trial is registered on ClinicalTrials.gov (NCT04982575) and is complete. FINDINGS Between Aug 2 and Oct 18, 2021, 92 participants were randomly assigned to CagriSema (n=31), semaglutide (n=31), or cagrilintide (n=30). 59 (64%) participants were male; the mean age of participants was 58 years (SD 9). The mean change in HbA1c from baseline to week 32 (CagriSema: -2·2 percentage points [SE 0·15]; semaglutide: -1·8 percentage points [0·16]; cagrilintide: -0·9 percentage points [0·15]) was greater with CagriSema versus cagrilintide (estimated treatment difference -1·3 percentage points [95% CI -1·7 to -0·8]; p<0·0001), but not versus semaglutide (-0·4 percentage points [-0·8 to 0·0]; p=0·075). The mean change in bodyweight from baseline to week 32 (CagriSema: -15·6% [SE 1·26]; semaglutide: -5·1% [1·26]; cagrilintide: -8·1% [1·23]) was greater with CagriSema versus both semaglutide (p<0·0001) and cagrilintide (p<0·0001). The mean change in fasting plasma glucose from baseline to week 32 (CagriSema: -3·3 mmol/L [SE 0·3]; semaglutide: -2·5 mmol/L [0·4]; cagrilintide: -1·7 mmol/L [0·3]) was greater with CagriSema versus cagrilintide (p=0·0010) but not versus semaglutide (p=0·10). Time in range (3·9-10·0 mmol/L) was 45·9%, 32·6%, and 56·9% at baseline and 88·9%, 76·2%, and 71·7% at week 32 with CagriSema, semaglutide, and cagrilintide, respectively. Adverse events were reported by 21 (68%) participants in the CagriSema group, 22 (71%) in the semaglutide group, and 24 (80%) in the cagrilintide group. Mild or moderate gastrointestinal adverse events were most common; no level 2 or 3 hypoglycaemia was reported. No fatal adverse events were reported. INTERPRETATION In people with type 2 diabetes, treatment with CagriSema resulted in clinically relevant improvements in glycaemic control (including CGM parameters). The mean change in HbA1c with CagriSema was greater versus cagrilintide, but not versus semaglutide. Treatment with CagriSema resulted in significantly greater weight loss versus semaglutide and cagrilintide and was well tolerated. These data support further investigation of CagriSema in this population in longer and larger phase 3 studies. FUNDING Novo Nordisk.
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Affiliation(s)
- Juan P Frias
- Velocity Clinical Research, Los Angeles, CA, USA.
| | | | | | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark; Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ildiko Lingvay
- Division of Endocrinology, Department of Internal Medicine and Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Chantal Mathieu
- Clinical and Experimental Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Sue D Pedersen
- C-ENDO Diabetes and Endocrinology Clinic, Calgary, AB, Canada
| | - Melanie Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK; Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
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Yeung AM, Huang J, Pandey A, Hashim IA, Kerr D, Pop-Busui R, Rhee CM, Shah VN, Bally L, Bayes-Genis A, Bee YM, Bergenstal R, Butler J, Fleming GA, Gilbert G, Greene SJ, Kosiborod MN, Leiter LA, Mankovsky B, Martens TW, Mathieu C, Mohan V, Patel KV, Peters A, Rhee EJ, Rosano GMC, Sacks DB, Sandoval Y, Seley JJ, Schnell O, Umpierrez G, Waki K, Wright EE, Wu AHB, Klonoff DC. Biomarkers for the Diagnosis of Heart Failure in People with Diabetes: A Consensus Report from Diabetes Technology Society. Prog Cardiovasc Dis 2023; 79:65-79. [PMID: 37178991 DOI: 10.1016/j.pcad.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 05/08/2023] [Indexed: 05/15/2023]
Abstract
Diabetes Technology Society assembled a panel of clinician experts in diabetology, cardiology, clinical chemistry, nephrology, and primary care to review the current evidence on biomarker screening of people with diabetes (PWD) for heart failure (HF), who are, by definition, at risk for HF (Stage A HF). This consensus report reviews features of HF in PWD from the perspectives of 1) epidemiology, 2) classification of stages, 3) pathophysiology, 4) biomarkers for diagnosing, 5) biomarker assays, 6) diagnostic accuracy of biomarkers, 7) benefits of biomarker screening, 8) consensus recommendations for biomarker screening, 9) stratification of Stage B HF, 10) echocardiographic screening, 11) management of Stage A and Stage B HF, and 12) future directions. The Diabetes Technology Society panel recommends 1) biomarker screening with one of two circulating natriuretic peptides (B-type natriuretic peptide or N-terminal prohormone of B-type natriuretic peptide), 2) beginning screening five years following diagnosis of type 1 diabetes (T1D) and at the diagnosis of type 2 diabetes (T2D), 3) beginning routine screening no earlier than at age 30 years for T1D (irrespective of age of diagnosis) and at any age for T2D, 4) screening annually, and 5) testing any time of day. The panel also recommends that an abnormal biomarker test defines asymptomatic preclinical HF (Stage B HF). This diagnosis requires follow-up using transthoracic echocardiography for classification into one of four subcategories of Stage B HF, corresponding to risk of progression to symptomatic clinical HF (Stage C HF). These recommendations will allow identification and management of Stage A and Stage B HF in PWD to prevent progression to Stage C HF or advanced HF (Stage D HF).
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Affiliation(s)
- Andrea M Yeung
- Diabetes Technology Society, Burlingame, CA, United States of America
| | - Jingtong Huang
- Diabetes Technology Society, Burlingame, CA, United States of America
| | - Ambarish Pandey
- UT Southwestern Medical Center, Dallas, TX, United States of America
| | - Ibrahim A Hashim
- UT Southwestern Medical Center, Dallas, TX, United States of America
| | - David Kerr
- Diabetes Technology Society, Burlingame, CA, United States of America
| | | | - Connie M Rhee
- Division of Nephrology, Hypertension, and Kidney Transplantation, University of California Irvine, Orange, CA, United States of America
| | - Viral N Shah
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America
| | - Lia Bally
- Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Antoni Bayes-Genis
- Hospital Universitari Germans Trias I Pujol, CIBERCV, Universitat Autonoma Barcelona, Spain
| | | | - Richard Bergenstal
- International Diabetes Center, HealthPartners Institute, Minneapolis, MN, United States of America
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX and University of Mississippi, Jackson, MS, United States of America
| | | | - Gregory Gilbert
- Mills-Peninsula Medical Center, Burlingame, CA, United States of America
| | - Stephen J Greene
- Division of Cardiology, Duke University School of Medicine, Durham, NC, United States of America
| | - Mikhail N Kosiborod
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City School of Medicine, Kansas City, MO, United States of America
| | - Lawrence A Leiter
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | | | - Thomas W Martens
- International Diabetes Center and Park Nicollet Clinic, Minneapolis, MN, United States of America
| | | | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Kershaw V Patel
- Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, United States of America
| | - Anne Peters
- University of Southern California Keck School of Medicine, Los Angeles, CA, United States of America
| | - Eun-Jung Rhee
- Department of Endocrinology and Metabolism, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | - David B Sacks
- National Institutes of Health, Bethesda, MD, United States of America
| | - Yader Sandoval
- Minneapolis Heart Institute, Abbott Northwestern Hospital and Minneapolis Heart Institute Foundation, Minneapolis, MN, United States of America
| | | | - Oliver Schnell
- Forschergruppe Diabetes e.V., Munich-, Neuherberg, Germany
| | | | - Kayo Waki
- The University of Tokyo, Tokyo, Japan
| | - Eugene E Wright
- Charlotte Area Health Education Center, Charlotte, NC, United States of America
| | - Alan H B Wu
- University of California, San Francisco, San Francisco, CA, United States of America
| | - David C Klonoff
- Mills-Peninsula Medical Center, San Mateo, CA, United States of America.
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Benhalima K, Beunen K, Siegelaar SE, Painter R, Murphy HR, Feig DS, Donovan LE, Polsky S, Buschur E, Levy CJ, Kudva YC, Battelino T, Ringholm L, Mathiesen ER, Mathieu C. Management of type 1 diabetes in pregnancy: update on lifestyle, pharmacological treatment, and novel technologies for achieving glycaemic targets. Lancet Diabetes Endocrinol 2023; 11:490-508. [PMID: 37290466 DOI: 10.1016/s2213-8587(23)00116-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 06/10/2023]
Abstract
Glucose concentrations within target, appropriate gestational weight gain, adequate lifestyle, and, if necessary, antihypertensive treatment and low-dose aspirin reduces the risk of pre-eclampsia, preterm delivery, and other adverse pregnancy and neonatal outcomes in pregnancies complicated by type 1 diabetes. Despite the increasing use of diabetes technology (ie, continuous glucose monitoring and insulin pumps), the target of more than 70% time in range in pregnancy (TIRp 3·5-7·8 mmol/L) is often reached only in the final weeks of pregnancy, which is too late for beneficial effects on pregnancy outcomes. Hybrid closed-loop (HCL) insulin delivery systems are emerging as promising treatment options in pregnancy. In this Review, we discuss the latest evidence on pre-pregnancy care, management of diabetes-related complications, lifestyle recommendations, gestational weight gain, antihypertensive treatment, aspirin prophylaxis, and the use of novel technologies for achieving and maintaining glycaemic targets during pregnancy in women with type 1 diabetes. In addition, the importance of effective clinical and psychosocial support for pregnant women with type 1 diabetes is also highlighted. We also discuss the contemporary studies examining HCL systems in type 1 diabetes during pregnancies.
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Affiliation(s)
- Katrien Benhalima
- Endocrinology, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium.
| | - Kaat Beunen
- Endocrinology, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Sarah E Siegelaar
- Department of Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Gastroenterology Endocrinology and Metabolism, Amsterdam, Netherlands
| | - Rebecca Painter
- Department of Gynaecology and Obstetrics, Amsterdam UMC, Vrije Universiteit, Netherlands; Amsterdam Reproduction and Development, Amsterdam, Netherlands
| | - Helen R Murphy
- Diabetes and Antenatal Care, University of East Anglia, Norwich, UK
| | - Denice S Feig
- Department of Medicine, Obstetrics, and Gynecology and Department of Health Policy, Management, and Evaluation, University of Toronto, Diabetes and Endocrinology in Pregnancy Program, Mt Sinai Hospital, Toronto, ON, Canada
| | - Lois E Donovan
- Division of Endocrinology and Metabolism, Department of Medicine, and Department of Obstetrics and Gynaecology, Cumming School Medicine, University of Calgary, Calgary, AB, Canada
| | - Sarit Polsky
- Medicine and Pediatrics, Barbara Davis Center for Diabetes, Adult Clinic, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Elizabeth Buschur
- Internal Medicine, Endocrinology, Diabetes, and Metabolism, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Carol J Levy
- Department of Medicine, Endocrinology and Obstetrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yogish C Kudva
- Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - Tadej Battelino
- Department of Endocrinology, Diabetes and Metabolism, University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Lene Ringholm
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
| | | | - Chantal Mathieu
- Endocrinology, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium
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Bissenova S, Buitinga M, Boesch M, Korf H, Casteels K, Teunkens A, Mathieu C, Gysemans C. High-Throughput Analysis of Neutrophil Extracellular Trap Levels in Subtypes of People with Type 1 Diabetes. Biology (Basel) 2023; 12:882. [PMID: 37372166 DOI: 10.3390/biology12060882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023]
Abstract
Neutrophils might play an important role in the pathogenesis of autoimmune diseases, including type 1 diabetes (T1D), by contributing to immune dysregulation via a highly inflammatory program called neutrophil extracellular trap (NET) formation or NETosis, involving the extrusion of chromatin entangled with anti-microbial proteins. However, numerous studies reported contradictory data on NET formation in T1D. This might in part be due to the inherent heterogeneity of the disease and the influence of the disease developmental stage on neutrophil behavior. Moreover, there is a lack of a standardized method to measure NETosis in an unbiased and robust manner. In this study, we employed the Incucyte® ZOOM live-cell imaging platform to study NETosis levels in various subtypes of adult and pediatric T1D donors compared to healthy controls (HC) at baseline and in response to phorbol-myristate acetate (PMA) and ionomycin. Firstly, we determined that the technique allows for an operator-independent and automated quantification of NET formation across multiple time points, which showed that PMA and ionomycin induced NETosis with distinct kinetic characteristics, confirmed by high-resolution microscopy. NETosis levels also showed a clear dose-response curve to increasing concentrations of both stimuli. Overall, using Incucyte® ZOOM, no aberrant NET formation was observed over time in the different subtypes of T1D populations, irrespective of age, compared to HC. These data were corroborated by the levels of peripheral NET markers in all study participants. The current study showed that live-cell imaging allows for a robust and unbiased analysis and quantification of NET formation in real-time. Peripheral neutrophil measures should be complemented with dynamic quantification of NETing neutrophils to make robust conclusions on NET formation in health and disease.
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Affiliation(s)
- Samal Bissenova
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Mijke Buitinga
- Department of Nutrition and Movement Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, 6211 LK Maastricht, The Netherlands
| | - Markus Boesch
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Hannelie Korf
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Kristina Casteels
- Woman and Child, Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium
| | - An Teunkens
- Anesthesiology and Algology, Department of Cardiovascular Sciences, KU Leuven, 3000 Leuven, Belgium
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Conny Gysemans
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
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Mathieu C, Ásbjörnsdóttir B, Bajaj HS, Lane W, Matos ALSA, Murthy S, Stachlewska K, Rosenstock J. Switching to once-weekly insulin icodec versus once-daily insulin glargine U100 in individuals with basal-bolus insulin-treated type 2 diabetes (ONWARDS 4): a phase 3a, randomised, open-label, multicentre, treat-to-target, non-inferiority trial. Lancet 2023; 401:1929-1940. [PMID: 37156252 DOI: 10.1016/s0140-6736(23)00520-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/06/2023] [Accepted: 03/02/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Insulin icodec (icodec) is a basal insulin analogue suitable for once-weekly dosing. ONWARDS 4 aimed to assess the efficacy and safety of once-weekly icodec compared with once-daily insulin glargine U100 (glargine U100) in individuals with long-standing type 2 diabetes on a basal-bolus regimen. METHODS In this 26-week, phase 3a, randomised, open-label, multicentre, treat-to-target, non-inferiority trial, adults from 80 sites (outpatient clinics and hospital departments) across nine countries (Belgium, India, Italy, Japan, Mexico, the Netherlands, Romania, Russia, and the USA) with type 2 diabetes (glycated haemoglobin [HbA1c] 7·0-10·0%) were randomly assigned (1:1) to receive once-weekly icodec or once-daily glargine U100 combined with 2-4 daily bolus insulin aspart injections. The primary outcome was change in HbA1c from baseline to week 26 (non-inferiority margin of 0·3 percentage points). The primary outcome was evaluated in the full analysis set (ie, all randomly assigned participants). Safety outcomes were evaluated in the safety analysis set (ie, all participants randomly assigned who received at least one dose of trial product). This trial is registered with ClinicalTrials.gov, NCT04880850. FINDINGS Between May 14 and Oct 29, 2021, 746 participants were screened for eligibility, of whom 582 (78%) were randomly assigned (291 [50%] to icodec treatment and 291 [50%] to glargine U100 treatment). Participants had a mean duration of type 2 diabetes of 17·1 years (SD 8·4). At week 26, estimated mean change in HbA1c was -1·16 percentage points in the icodec group (baseline 8·29%) and -1·18 percentage points in the glargine U100 group (baseline 8·31%), showing non-inferiority for icodec versus glargine U100 (estimated treatment difference 0·02 percentage points [95% CI -0·11 to 0·15], p<0·0001). Overall, 171 (59%) of 291 participants in the icodec group and 167 (57%) of 291 participants in the glargine U100 group had an adverse event. 35 serious adverse events were reported in 22 (8%) of 291 participants in the icodec group and 33 serious adverse events were reported in 25 (9%) of 291 participants receiving glargine U100. Overall, combined level 2 and level 3 hypoglycaemia rates were similar between treatment groups. No new safety concerns were identified for icodec. INTERPRETATION In people with long-standing type 2 diabetes on a basal-bolus regimen, once-weekly icodec showed similar improvements in glycaemic control, with fewer basal insulin injections, lower bolus insulin dose, and with no increase in hypoglycaemic rates compared with once-daily glargine U100. Key strengths of this trial include the use of masked continous glucose monitoring; the high trial completion rate; and the inclusion of a large, diverse, and multinational population. Limitations include the relatively short trial duration and the open-label design. FUNDING Novo Nordisk.
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Affiliation(s)
- Chantal Mathieu
- Clinical and Experimental Endocrinology, Katholieke Universiteit Leuven, Leuven, Leuven, Belgium.
| | | | | | - Wendy Lane
- Mountain Diabetes and Endocrine Center, Asheville, NC, USA
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Raets L, Van Doninck L, Van Crombrugge P, Moyson C, Verhaeghe J, Vandeginste S, Verlaenen H, Vercammen C, Maes T, Dufraimont E, Roggen N, De Block C, Jacquemyn Y, Mekahli F, De Clippel K, Van Den Bruel A, Loccufier A, Laenen A, Devlieger R, Mathieu C, Benhalima K. Normal glucose tolerant women with low glycemia during the oral glucose tolerance test have a higher risk to deliver a low birth weight infant. Front Endocrinol (Lausanne) 2023; 14:1186339. [PMID: 37334297 PMCID: PMC10272607 DOI: 10.3389/fendo.2023.1186339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Background Data are limited on pregnancy outcomes of normal glucose tolerant (NGT) women with a low glycemic value measured during the 75g oral glucose tolerance test (OGTT). Our aim was to evaluate maternal characteristics and pregnancy outcomes of NGT women with low glycemia measured at fasting, 1-hour or 2-hour OGTT. Methods The Belgian Diabetes in Pregnancy-N study was a multicentric prospective cohort study with 1841 pregnant women receiving an OGTT to screen for gestational diabetes (GDM). We compared the characteristics and pregnancy outcomes in NGT women according to different groups [(<3.9mmol/L), (3.9-4.2mmol/L), (4.25-4.4mmol/L) and (>4.4mmol/L)] of lowest glycemia measured during the OGTT. Pregnancy outcomes were adjusted for confounding factors such as body mass index (BMI) and gestational weight gain. Results Of all NGT women, 10.7% (172) had low glycemia (<3.9 mmol/L) during the OGTT. Women in the lowest glycemic group (<3.9mmol/L) during the OGTT had compared to women in highest glycemic group (>4.4mmol/L, 29.9%, n=482), a better metabolic profile with a lower BMI, less insulin resistance and better beta-cell function. However, women in the lowest glycemic group had more often inadequate gestational weight gain [51.1% (67) vs. 29.5% (123); p<0.001]. Compared to the highest glycemia group, women in the lowest group had more often a birth weight <2.5Kg [adjusted OR 3.41, 95% CI (1.17-9.92); p=0.025]. Conclusion Women with a glycemic value <3.9 mmol/L during the OGTT have a higher risk for a neonate with birth weight < 2.5Kg, which remained significant after adjustment for BMI and gestational weight gain.
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Affiliation(s)
- Lore Raets
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | | | - Paul Van Crombrugge
- Department of Endocrinology, Onze-Lieve-Vrouwziekenhuis (OLV) Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium
| | - Carolien Moyson
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Johan Verhaeghe
- Department of Obstetrics & Gynecology, Universitair Ziekenhuis (UZ) Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Sofie Vandeginste
- Department of Obstetrics & Gynecology, Onze-Lieve-Vrouwziekenhuis (OLV) Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium
| | - Hilde Verlaenen
- Department of Obstetrics & Gynecology, Onze-Lieve-Vrouwziekenhuis (OLV) Ziekenhuis Aalst-Asse-Ninove, Aalst, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imelda Ziekenhuis, Bonheiden, Belgium
| | - Toon Maes
- Department of Endocrinology, Imelda Ziekenhuis, Bonheiden, Belgium
| | - Els Dufraimont
- Department of Obstetrics & Gynecology, Imelda Ziekenhuis, Bonheiden, Belgium
| | - Nele Roggen
- Department of Obstetrics & Gynecology, Imelda Ziekenhuis, Bonheiden, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Edegem, Belgium
| | - Yves Jacquemyn
- Department of Obstetrics & Gynecology, Antwerp University Hospital, Edegem, Belgium
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC) and Global Health Institute (GHI), Antwerp University University of Antwerp (UA), Antwerp, Belgium
| | - Farah Mekahli
- Department of Endocrinology, Kliniek St-Jan Brussel, Brussel, Belgium
| | - Katrien De Clippel
- Department of Obstetrics & Gynecology, Kliniek St-Jan Brussel, Brussel, Belgium
| | - Annick Van Den Bruel
- Department of Endocrinology, Algemeen Ziekenhuis (AZ) St. Jan Brugge, Brugge, Belgium
| | - Anne Loccufier
- Department of Obstetrics & Gynecology, Algemeen Ziekenhuis (AZ) St. Jan Brugge, Brugge, Belgium
| | - Annouschka Laenen
- Center of Biostatics and Statistical bioinformatics, KU Leuven, Leuven, Belgium
| | - Roland Devlieger
- Department of Obstetrics & Gynecology, Universitair Ziekenhuis (UZ) Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Katrien Benhalima
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium
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Suomi T, Starskaia I, Kalim UU, Rasool O, Jaakkola MK, Grönroos T, Välikangas T, Brorsson C, Mazzoni G, Bruggraber S, Overbergh L, Dunger D, Peakman M, Chmura P, Brunak S, Schulte AM, Mathieu C, Knip M, Lahesmaa R, Elo LL. Gene expression signature predicts rate of type 1 diabetes progression. EBioMedicine 2023; 92:104625. [PMID: 37224769 DOI: 10.1016/j.ebiom.2023.104625] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/06/2023] [Accepted: 05/09/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Type 1 diabetes is a complex heterogenous autoimmune disease without therapeutic interventions available to prevent or reverse the disease. This study aimed to identify transcriptional changes associated with the disease progression in patients with recent-onset type 1 diabetes. METHODS Whole-blood samples were collected as part of the INNODIA study at baseline and 12 months after diagnosis of type 1 diabetes. We used linear mixed-effects modelling on RNA-seq data to identify genes associated with age, sex, or disease progression. Cell-type proportions were estimated from the RNA-seq data using computational deconvolution. Associations to clinical variables were estimated using Pearson's or point-biserial correlation for continuous and dichotomous variables, respectively, using only complete pairs of observations. FINDINGS We found that genes and pathways related to innate immunity were downregulated during the first year after diagnosis. Significant associations of the gene expression changes were found with ZnT8A autoantibody positivity. Rate of change in the expression of 16 genes between baseline and 12 months was found to predict the decline in C-peptide at 24 months. Interestingly and consistent with earlier reports, increased B cell levels and decreased neutrophil levels were associated with the rapid progression. INTERPRETATION There is considerable individual variation in the rate of progression from appearance of type 1 diabetes-specific autoantibodies to clinical disease. Patient stratification and prediction of disease progression can help in developing more personalised therapeutic strategies for different disease endotypes. FUNDING A full list of funding bodies can be found under Acknowledgments.
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Affiliation(s)
- Tomi Suomi
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Inna Starskaia
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Turku Doctoral Programme of Molecular Medicine, University of Turku, Turku, Finland
| | - Ubaid Ullah Kalim
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Omid Rasool
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Maria K Jaakkola
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Toni Grönroos
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Tommi Välikangas
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Caroline Brorsson
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gianluca Mazzoni
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Lut Overbergh
- Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium
| | - David Dunger
- Department of Paediatrics, University of Cambridge, Cambridge, England, UK
| | - Mark Peakman
- Immunology & Inflammation Research Therapeutic Area, Sanofi, MA, USA
| | - Piotr Chmura
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Chantal Mathieu
- Katholieke Universiteit Leuven/Universitaire Ziekenhuizen, Leuven, Belgium
| | - Mikael Knip
- Paediatric Research Centre, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Tampere Centre for Child Health Research, Tampere University Hospital, Tampere, Finland
| | - Riitta Lahesmaa
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, FI-20520, Turku, Finland.
| | - Laura L Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; InFLAMES Research Flagship Center, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, FI-20520, Turku, Finland.
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Minschart C, Myngheer N, Maes T, De Block C, Van Pottelbergh I, Abrams P, Vinck W, Leuridan L, Driessens S, Mathieu C, Billen J, Matthys C, Laenen A, Bogaerts A, Benhalima K. Weight retention and glucose intolerance in early postpartum after gestational diabetes. Eur J Endocrinol 2023:7173163. [PMID: 37204938 DOI: 10.1093/ejendo/lvad053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/28/2023] [Accepted: 04/24/2023] [Indexed: 05/21/2023]
Abstract
OBJECTIVES To determine risk factors for early postpartum weight retention (PPWR) and glucose intolerance (GI) in women with gestational diabetes (GDM). DESIGN & METHODS Prospective, multicenter (n=8) cohort study in 1201 women with a recent history of GDM. Pregnancy and postpartum characteristics, and data from self-administered questionnaires were collected at the 6-16 weeks postpartum 75g OGTT. RESULTS Of all participants, 38.6% (463) had moderate (>0 and ≤5 kg) and 15.6% (187) had high (>5kg) PPWR. Independent predictors for early PPWR were excessive gestational weight gain (GWG), lack of breastfeeding, higher dietary fat intake, insulin use during pregnancy, multiparity, lower prepregnancy BMI, and lower education degree. Compared to PPWR <5 kg, women with high PPWR had a more impaired postpartum metabolic profile, breastfed less often, had higher depression rates [23.1% (43) vs. 16.0% (74), p=0.035] and anxiety levels, and lower quality of life. Of all participants, 28.0% (336) had GI [26.1% (313) prediabetes and 1.9% (23) diabetes]. Women with high PPWR had more often GI compared to women without PPWR [33.7% (63) vs. 24.9% (137), p=0.020]. Only 12.9% (24) of women with high PPWR perceived themselves at high risk for diabetes but they were more often willing to change their lifestyle than women with moderate PPWR. CONCLUSIONS Modifiable risk factors such as lifestyle, prepregnancy BMI, GWG, and mental health can be used to identify a subgroup of women with GDM at the highest risk of developing early PPWR, allowing for a more personalized follow-up.
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Affiliation(s)
- Caro Minschart
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, 3000 Leuven, Belgium
| | - Nele Myngheer
- Department of Endocrinology, General Hospital Groeninge, 8500 Kortrijk, Belgium
| | - Toon Maes
- Department of Endocrinology, Imelda Hospital, 2820 Bonheiden, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, 2650 Edegem, Belgium
| | | | - Pascale Abrams
- Department of Endocrinology, GZA Hospital Sint-Vincentius, 2018 Antwerp, Belgium
- Department of Endocrinology, GZA Hospital Sint-Augustinus, 2610 Wilrijk, Belgium
| | - Wouter Vinck
- Department of Endocrinology, GZA Hospital Sint-Augustinus, 2610 Wilrijk, Belgium
| | - Liesbeth Leuridan
- Department of Endocrinology, General Hospital Klina, 2930 Brasschaat, Belgium
| | - Sabien Driessens
- Department of Endocrinology, General Hospital Klina, 2930 Brasschaat, Belgium
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, 3000 Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Jaak Billen
- Department of Laboratory Medicine, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Christophe Matthys
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, 3000 Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Annouschka Laenen
- Centre of Biostatics and Statistical Bioinformatics, KU Leuven, 3000 Leuven, Belgium
| | - Annick Bogaerts
- Department of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium
- Faculty of Medicine and Health Sciences, Centre for Research and Innovation in Care (CRIC), University of Antwerp, 2610 Wilrijk, Belgium
| | - Katrien Benhalima
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, 3000 Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, 3000 Leuven, Belgium
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Bissenova S, Ellis D, Callebaut A, Eelen G, Derua R, Buitinga M, Mathieu C, Gysemans C, Overbergh L. NET Proteome in Established Type 1 Diabetes Is Enriched in Metabolic Proteins. Cells 2023; 12:cells12091319. [PMID: 37174719 PMCID: PMC10177393 DOI: 10.3390/cells12091319] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND AND AIMS Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by a T-cell-mediated destruction of the pancreatic insulin-producing beta cells. A growing body of evidence suggests that abnormalities in neutrophils and neutrophil extracellular trap (NET) formation (NETosis) are associated with T1D pathophysiology. However, little information is available on whether these changes are primary neutrophil defects or related to the environmental signals encountered during active disease. METHODS In the present work, the NET proteome (NETome) of phorbol 12-myristate 13-acetate (PMA)- and ionomycin-stimulated neutrophils from people with established T1D compared to healthy controls (HC) was studied by proteomic analysis. RESULTS Levels of NETosis, in addition to plasma levels of pro-inflammatory cytokines and NET markers, were comparable between T1D and HC subjects. However, the T1D NETome was distinct from that of HC in response to both stimuli. Quantitative analysis revealed that the T1D NETome was enriched in proteins belonging to metabolic pathways (i.e., phosphoglycerate kinase, glyceraldehyde-3-phosphate dehydrogenase, and UTP-glucose-1-phosphate uridylyltransferase). Complementary metabolic profiling revealed that the rate of extracellular acidification, an approximate measure for glycolysis, and mitochondrial respiration were similar between T1D and HC neutrophils in response to both stimuli. CONCLUSION The NETome of people with established T1D was enriched in metabolic proteins without an apparent alteration in the bio-energetic profile or dysregulated NETosis. This may reflect an adaptation mechanism employed by activated T1D neutrophils to avoid impaired glycolysis and consequently excessive or suboptimal NETosis, pivotal in innate immune defence and the resolution of inflammation.
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Affiliation(s)
- Samal Bissenova
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Darcy Ellis
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Aïsha Callebaut
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Guy Eelen
- Laboratory of Angiogenesis and Vascular Metabolism, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
- Laboratory of Angiogenesis and Vascular Metabolism, Center for Cancer Biology, VIB, 3000 Leuven, Belgium
| | - Rita Derua
- Laboratory of Protein Phosphorylation & Proteomics, Department Cellular & Molecular Medicine, KU Leuven, 3000 Leuven, Belgium
- SyBioMa, Proteomics Core Facility, KU Leuven, 3000 Leuven, Belgium
| | - Mijke Buitinga
- Department of Nutrition and Movement Sciences, Maastricht University, 6211 LK Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Conny Gysemans
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
| | - Lut Overbergh
- Clinical and Experimental Endocrinology (CEE), Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, 3000 Leuven, Belgium
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Vliebergh J, Gesquiere I, Foulon V, Augustijns P, Lannoo M, Deleus E, Meulemans A, Mathieu C, Mertens A, Matthys C, Van der Schueren B, Vangoitsenhoven R. Change in carbohydrate intake one year after Roux-en-Y gastric bypass: A prospective study. Nutr Health 2023:2601060231166821. [PMID: 37006189 DOI: 10.1177/02601060231166821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
Background and objectives: To investigate the effect of carbohydrate intake before laparoscopic Roux-en-Y gastric bypass (LRYGB) on body weight, body composition and glycaemic status after surgery. Methods: In a tertiary centre cohort study, dietary habits, body composition and glycaemic status were evaluated before and 3, 6 and 12 months after LRYGB. Detailed dietary food records were processed by specialized dietitians on the basis of a standard protocol. The study population was subdivided according to relative carbohydrate intake before surgery. Results: Before surgery, 30 patients had a moderate relative carbohydrate intake (26%-45%, M-CHO), a mean body mass index (BMI) of 40.4 ± 3.9 kg/m² and a mean glycated haemoglobin A1c (A1C) of 6.5 ± 1.2% compared to 20 patients with a high relative carbohydrate intake (> 45%, H-CHO), mean BMI of 40.9 ± 3.7 kg/m² (non-significant, NS) and a mean A1C of 6.2% (NS). One year after surgery, body weight, body composition and glycaemic status were similar in the M-CHO (n = 25) and H-CHO groups (n = 16), despite less caloric intake in the H-CHO group (1317 ± 285 g vs. 1646 ± 345 g in M-CHO, p < 0.01). Their relative carbohydrate intake converged to 46% in both groups, but the H-CHO group reduced the absolute total carbohydrate consumption more than the M-CHO group (190 ± 50 g in M-CHO vs. 153 ± 39 g in H-CHO, p < 0.05), and this was especially pronounced for the mono- and disaccharides (86 ± 30 g in M-CHO vs. 65 ± 27 g in H-CHO, p < 0.05). Conclusion: A high relative carbohydrate intake before LRYGB, did not influence the change in body composition or diabetes status after surgery, despite a significantly lower total energy intake and less mono- and disaccharide consumption after surgery.
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Affiliation(s)
- Joke Vliebergh
- Department of Endocrinology, University Hospitals Leuven, Belgium
| | - Ina Gesquiere
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Veerle Foulon
- Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Belgium
| | - Patrick Augustijns
- Department of Pharmaceutical and Pharmacological Sciences, Drug Delivery and Disposition, KU Leuven, Belgium
| | - Matthias Lannoo
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
- Department of Abdominal Surgery, University Hospitals Leuven, Belgium
| | - Ellen Deleus
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
- Department of Abdominal Surgery, University Hospitals Leuven, Belgium
| | - Ann Meulemans
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Ann Mertens
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Christophe Matthys
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Bart Van der Schueren
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
| | - Roman Vangoitsenhoven
- Department of Endocrinology, University Hospitals Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinology, KU Leuven, Belgium
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Affiliation(s)
- Alice Y Y Cheng
- Division of Endocrinology and Metabolism, Department of Medicine, University of Toronto, Toronto, Canada.
| | - Marília Brito Gomes
- Department of Internal Medicine, Diabetes Unit, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital, Karnal, India.
- University Center for Research & Development, Chandigarh University, Mohali, India.
| | - Andre-Pascal Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium.
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
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Charleer S, De Block C, Bolsens N, Van Huffel L, Nobels F, Mathieu C, Gillard P. Sustained Impact of Intermittently Scanned Continuous Glucose Monitoring on Treatment Satisfaction and Severe Hypoglycemia in Adults with Type 1 Diabetes (FUTURE): An Analysis in People with Normal and Impaired Awareness of Hypoglycemia. Diabetes Technol Ther 2023; 25:231-241. [PMID: 36648249 DOI: 10.1089/dia.2022.0452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Objective: Nationwide reimbursement of intermittently scanned continuous glucose monitoring (isCGM) was introduced in Belgium (2016). This real-world observational study investigates the impact of isCGM over 24 months on adults with type 1 diabetes with impaired or normal awareness of hypoglycemia (IAH or NAH). Methods: We included 1905 people who started first-generation 14-day FreeStyle Libre (without alerts). Sixteen percent had IAH. Primary endpoint was evolution of quality of life (QOL); secondary endpoints were evolution of severe hypoglycemia, work absenteeism, glycated hemoglobin (HbA1c), and sensor-measured outcomes. Results: At baseline, people with IAH (n = 308) had significantly worse QOL than people with NAH (n = 1594). Only people with IAH improved on the hypoglycemia fear survey-worry subscale after 24 months (22.8 [95% confidence interval: 21.4-24.2] at baseline; 20.6 [19.0-22.1] at 24 months, P = 0.002). For both groups, Diabetes Treatment Satisfaction Scale improved over 24 months (IAH: +3.1 [2.1-4.1], P < 0.001; NAH: +2.3 [1.9-2.7], P < 0.001), whereas general QOL, diabetes distress, and HbA1c remained stable. People with IAH showed the strongest decline in work absenteeism and severe hypoglycemia (36.4% having an event 6 months before isCGM initiation; 16.0% having an event during last 6 months of follow-up, P < 0.001), with similar observations for hypoglycemia hospitalization and hypoglycemia coma. Over 24 months, people with IAH spent more time in hypoglycemia, but less time in hyperglycemia than people with NAH. Conclusion: These data show sustained improvement of severe hypoglycemia, work absenteeism, and hypoglycemia fear after isCGM reimbursement, mostly driven by people with IAH. Together with improved treatment satisfaction, irrespective of hypoglycemia awareness level, isCGM without alerts is a valuable tool under long-term real-world conditions. Clinical Trial Registration number: NCT02898714.
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Affiliation(s)
- Sara Charleer
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Edegem, Belgium
| | - Nancy Bolsens
- Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Edegem, Belgium
| | | | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven-KU Leuven, Leuven, Belgium
- Fonds Wetenschappelijk Onderzoek (FWO), Brussels, Belgium
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Schnell O, Battelino T, Bergenstal R, Birkenfeld AL, Ceriello A, Cheng A, Davies M, Edelman S, Forst T, Giorgino F, Green J, Groop PH, Hadjadj S, J L Heerspink H, Hompesch M, Izthak B, Ji L, Kanumilli N, Mankovsky B, Mathieu C, Miszon M, Mustafa R, Nauck M, Pecoits-Filho R, Pettus J, Ranta K, Rodbard HW, Rossing P, Ryden L, Schumm-Draeger PM, Solomon SD, Škrha J, Topsever P, Vilsbøll T, Wilding J, Standl E. CVOT Summit 2022 Report: new cardiovascular, kidney, and glycemic outcomes. Cardiovasc Diabetol 2023; 22:59. [PMID: 36927451 PMCID: PMC10019427 DOI: 10.1186/s12933-023-01788-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 03/02/2023] [Indexed: 03/18/2023] Open
Abstract
The 8th Cardiovascular Outcome Trial (CVOT) Summit on Cardiovascular, Kidney, and Glycemic Outcomes was held virtually on November 10-12, 2022. Following the tradition of previous summits, this reference congress served as a platform for in-depth discussion and exchange on recently completed outcomes trials as well as key trials important to the cardiovascular (CV) field. This year's focus was on the results of the DELIVER, EMPA-KIDNEY and SURMOUNT-1 trials and their implications for the treatment of heart failure (HF) and chronic kidney disease (CKD) with sodium-glucose cotransporter-2 (SGLT2) inhibitors and obesity with glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) receptor agonists. A broad audience of primary care physicians, diabetologists, endocrinologists, cardiologists, and nephrologists participated online in discussions on new consensus recommendations and guideline updates on type 2 diabetes (T2D) and CKD management, overcoming clinical inertia, glycemic markers, continuous glucose monitoring (CGM), novel insulin preparations, combination therapy, and reclassification of T2D. The impact of cardiovascular outcomes on the design of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) trials, as well as the impact of real-world evidence (RWE) studies on the confirmation of CVOT outcomes and clinical trial design, were also intensively discussed. The 9th Cardiovascular Outcome Trial Summit will be held virtually on November 23-24, 2023 ( http://www.cvot.org ).
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Affiliation(s)
- Oliver Schnell
- Forschergruppe Diabetes e. V., Helmholtz Center Munich, Ingolstaedter Landstraße 1, Neuherberg, 85764, (Munich), Germany.
| | - Tadej Battelino
- University Medical Center, Ljubljana, Slovenia
- University Children's Hospital, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Richard Bergenstal
- International Diabetes Center at Park Nicollet, Health Partners, Minneapolis, MN, USA
| | - Andreas L Birkenfeld
- Department of Internal Medicine IV, University Clinic Tübingen, Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases at the Eberhard-Karls-University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD e.V.), Tübingen, Germany
| | | | - Alice Cheng
- Credit Valley Hospital, Mississauga, ON, Canada
| | - Melanie Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Biomedical Research Centre, Leicester, UK
| | - Steve Edelman
- Taking Control of Your Diabetes, Solana Beach, CA, USA
| | - Thomas Forst
- CRS Clinical Research Services Mannheim GmbH, Mannheim, Germany
| | - Francesco Giorgino
- Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | - Jennifer Green
- Division of Endocrinology, Department of Medicine and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Per-Henrik Groop
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Medical School, Monash University, Melbourne, Australia
| | - Samy Hadjadj
- Thorax Institute, University Hospital of Nantes, Nantes, France
| | - Hiddo J L Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Baruch Izthak
- Clalit Health Services and Technion Faculty of Medicine, Haifa, Israel
| | - Linong Ji
- Peking University People's Hospital, Xicheng District, Beijing, China
| | | | - Boris Mankovsky
- Shupyk National Medical Academy of Postgraduate Education, Kiev, Ukraine
| | - Chantal Mathieu
- Department of Endocrinology, Catholic University Leuven, Leuven, Belgium
| | | | - Reem Mustafa
- Division of Nephrology and Hypertension, Medical Center, University of Kansas, Kansas City, KS, USA
| | - Michael Nauck
- Diabetes Division, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | | | - Jeremy Pettus
- Altman Clinical and Translational Research Institute (ACTRI), La Jolla, CA, USA
| | - Kari Ranta
- Eli Lilly and Company, Indianapolis, IN, USA
| | | | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lars Ryden
- Department of Medicine K2, Karolinska Institute, Stockholm, Sweden
| | | | - Scott D Solomon
- Cardiovascular division, Brigham and Women's Hospital, Boston, MA, USA
| | - Jan Škrha
- Third Medical Department and Laboratory for Endocrinology and Metabolism, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pinar Topsever
- Department of Family Medicine, Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Turkey
| | - Tina Vilsbøll
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Center for Diabetes Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
| | - John Wilding
- Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Eberhard Standl
- Forschergruppe Diabetes e. V., Helmholtz Center Munich, Ingolstaedter Landstraße 1, Neuherberg, 85764, (Munich), Germany
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Mathieu C, Kennedy E, Schrauwen P, Mulder H. The changing landscape of scientific communication at EASD. Diabetologia 2023; 66:413-414. [PMID: 36522508 PMCID: PMC9754989 DOI: 10.1007/s00125-022-05850-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium
| | | | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands
| | - Hindrik Mulder
- Unit of Molecular Metabolism, Lund University Diabetes Centre, Malmö, Sweden.
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Minschart C, Lammertyn A, Van Crombrugge P, Moyson C, Verhaeghe J, Vandeginste S, Verlaenen H, Vercammen C, Maes T, Dufraimont E, Roggen N, De Block C, Jacquemyn Y, Mekahli F, De Clippel K, Van Den Bruel A, Loccufier A, Laenen A, Devlieger R, Mathieu C, Benhalima K. Low Gestational Weight Gain in Women With Gestational Diabetes Is Safe With Better Metabolic Profile Postpartum. J Clin Endocrinol Metab 2023; 108:665-679. [PMID: 36228141 DOI: 10.1210/clinem/dgac599] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/12/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT More data are needed on the potential benefits and risks of gestational weight gain (GWG) less than recommended and excessive GWG in women with gestational diabetes (GDM) compared to women with normal glucose tolerance (NGT) during pregnancy. OBJECTIVE This work aimed to evaluate association of gestational weight gain (GWG) as low, within, or above (excessive) according to Institute of Medicine (IOM) guidelines, with pregnancy outcomes in women with gestational diabetes (GDM) and normal glucose tolerance (NGT). METHODS This prospective cohort study included 7 Belgian hospitals and 1843 women receiving universal GDM screening with a 75-g oral glucose tolerance test. Pregnancy outcomes and postpartum characteristics were the main outcome measures. RESULTS Women with GDM and low GWG (n = 97, 52.4%) had similar rates of small-for-gestational age infants and preterm delivery, were less often overweight or obese postpartum (35.7% [30] vs 56.5% [26]; P < .022) and less often had postpartum weight retention (PPWR) (48.8% [41] vs 87.9% [40]; P < .001) compared to GWG within range (n = 58, 31.3%). GDM with excessive GWG (n = 30, 16.2%) more often had neonatal hypoglycemia (30.8% (8) vs 5.9% [3], aOR 7.15; 95% CI, 1.52-33.63; P = .013) compared to GWG within range. NGT with excessive GWG (28.3% [383]) more often had instrumental delivery (15.9% [61] vs 11.9% [64], aOR 1.53; 95% CI, 1.03-2.27; P = .035) and more large-for-gestational age infants (19.3% [74] vs 10.4% [56], aOR 1.67; 95% CI, 1.13-2.47; P = .012) compared to GWG within range. CONCLUSION GWG below IOM guidelines occurred frequently in GDM women, without increased risk for adverse pregnancy outcomes and with better metabolic profile postpartum. Excessive GWG was associated with increased risk for neonatal hypoglycemia and worse metabolic profile postpartum in women with GDM, and with higher rates of LGA and instrumental delivery in NGT women.
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Affiliation(s)
- Caro Minschart
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
| | | | - Paul Van Crombrugge
- Department of Endocrinology, OLV ziekenhuis Aalst-Asse-Ninove, 9300 Aalst, Belgium
| | - Carolien Moyson
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
| | - Johan Verhaeghe
- Department of Obstetrics & Gynecology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
| | - Sofie Vandeginste
- Department of Obstetrics & Gynecology, OLV ziekenhuis Aalst-Asse-Ninove, 9300 Aalst, Belgium
| | - Hilde Verlaenen
- Department of Obstetrics & Gynecology, OLV ziekenhuis Aalst-Asse-Ninove, 9300 Aalst, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imelda ziekenhuis, 2820 Bonheiden, Belgium
| | - Toon Maes
- Department of Endocrinology, Imelda ziekenhuis, 2820 Bonheiden, Belgium
| | - Els Dufraimont
- Department of Obstetrics & Gynecology, Imelda ziekenhuis, 2820 Bonheiden, Belgium
| | - Nele Roggen
- Department of Obstetrics & Gynecology, Imelda ziekenhuis, 2820 Bonheiden, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, 2650 Edegem, Belgium
| | - Yves Jacquemyn
- Department of Obstetrics & Gynecology, Antwerp University Hospital, 2650 Edegem, Belgium
| | - Farah Mekahli
- Department of Endocrinology, Kliniek St-Jan, 1000 Brussel, Belgium
| | - Katrien De Clippel
- Department of Obstetrics & Gynecology, Kliniek St-Jan, 1000 Brussel, Belgium
| | | | - Anne Loccufier
- Department of Obstetrics & Gynecology, AZ St Jan, 8000 Brugge, Belgium
| | - Annouschka Laenen
- Center of Biostatics and Statistical bioinformatics, KU Leuven, 3000 Leuven, Belgium
| | - Roland Devlieger
- Department of Obstetrics & Gynecology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
| | - Katrien Benhalima
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
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Khunti K, Mathieu C, Torbeyns B, Del Prato S, Heine R. Diabetes registries and high-quality diabetes care. Lancet Diabetes Endocrinol 2023; 11:70-72. [PMID: 36702562 DOI: 10.1016/s2213-8587(22)00386-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 01/26/2023]
Affiliation(s)
- Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK.
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | | | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, Section of Metabolic Diseases and Diabetes, University of Pisa, Pisa, Italy
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Mathieu C, Soderberg J, Del Prato S, Felton AM, Cos X, de Beaufort C, Gautier JF, Hauck B, Forbes A, Heine R, Schwarz P, Torbeyns B. The European Diabetes Forum (EUDF): a forum for turning the tide on diabetes in Europe. Diabetologia 2023; 66:247-252. [PMID: 36394645 PMCID: PMC9670050 DOI: 10.1007/s00125-022-05831-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
| | | | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, Section of Metabolic Diseases and Diabetes, University of Pisa, Pisa, Italy
| | | | - Xavier Cos
- Innovation and Research Support Office, Institut Català de la Salut, Universitat Autònoma de Barcelona, Generalitat de Catalunya, Barcelona, Spain
| | - Carine de Beaufort
- Department of Pediatric Diabetes and Endocrinology, Centre Hospitalier Luxembourg, Luxembourg, Luxembourg
| | - Jean-François Gautier
- Service de Diabétologie et d'Endocrinologie, Hôpital Lariboisière, Assistance Publique Hôpitaux de Paris, Paris, France
| | | | - Angus Forbes
- Division of Care in Long Term Conditions, King's College London, London, UK
| | | | - Peter Schwarz
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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Mathieu C, Del Prato S. Women in diabetes research: we can do better. Reply to Bonnefond A [letter]. Diabetologia 2023; 66:408-409. [PMID: 36445394 DOI: 10.1007/s00125-022-05840-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Chantal Mathieu
- Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
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Philis-Tsimikas A, Bajaj HS, Begtrup K, Cailleteau R, Gowda A, Lingvay I, Mathieu C, Russell-Jones D, Rosenstock J. Rationale and design of the phase 3a development programme (ONWARDS 1-6 trials) investigating once-weekly insulin icodec in diabetes. Diabetes Obes Metab 2023; 25:331-341. [PMID: 36106652 PMCID: PMC10092674 DOI: 10.1111/dom.14871] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/31/2022] [Accepted: 09/10/2022] [Indexed: 02/02/2023]
Abstract
AIM To describe the phase 3a ONWARDS clinical development programme investigating insulin icodec (icodec), a once-weekly basal insulin, including the design and rationale for each of the ONWARDS 1-6 trials. MATERIALS AND METHODS Six randomized controlled trials have been initiated in adults with type 2 diabetes (T2D) (insulin-naive: ONWARDS 1, 3 and 5; previously insulin-treated: ONWARDS 2 and 4) and type 1 diabetes (T1D) (ONWARDS 6). Each trial will investigate icodec use in a unique clinical scenario, with consideration of long-term safety and varied comparator treatments (insulin glargine U100 or U300 or insulin degludec). ONWARDS 5 will incorporate real-world elements and a digital dose titration solution to guide icodec dosing. The primary objective for each of the trials is to compare the change in HbA1c from baseline to week 26 or week 52 between icodec and comparator arms. Secondary objectives include investigating other glycaemic control and safety parameters, such as fasting glucose, time in glycaemic range and hypoglycaemia. Patient-reported outcomes will assess treatment satisfaction. CONCLUSIONS The ONWARDS 1-6 trials will evaluate the efficacy and safety of once-weekly icodec compared with currently available daily basal insulin analogues in T2D and T1D. These trials will generate comprehensive evidence of icodec use in diverse populations across the spectrum of diabetes progression and treatment experience.
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Affiliation(s)
| | - Harpreet S Bajaj
- LMC Diabetes and Endocrinology, Brampton, Ontario, Canada
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
| | | | | | | | - Ildiko Lingvay
- Endocrinology Division, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Chantal Mathieu
- Clinical and Experimental Endocrinology, University of Leuven, Leuven, Belgium
| | - David Russell-Jones
- Department of Diabetes and Endocrinology, Royal Surrey County Hospital NHS Foundation Trust, Surrey, UK
- University of Surrey, Surrey, UK
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Visser MM, Charleer S, Fieuws S, De Block C, Hilbrands R, Van Huffel L, Maes T, Vanhaverbeke G, Dirinck E, Myngheer N, Vercammen C, Nobels F, Keymeulen B, Mathieu C, Gillard P. Effect of switching from intermittently scanned to real-time continuous glucose monitoring in adults with type 1 diabetes: 24-month results from the randomised ALERTT1 trial. Lancet Diabetes Endocrinol 2023; 11:96-108. [PMID: 36702566 DOI: 10.1016/s2213-8587(22)00352-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/10/2022] [Accepted: 11/19/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Comparing Continuous With Flash Glucose Monitoring In Adults With Type 1 Diabetes (ALERTT1) examined whether switching from first-generation intermittently scanned continuous glucose monitoring (isCGM) without alerts to real-time continuous glucose monitoring (rtCGM) with alert functionality offers additional benefits to adults with type 1 diabetes. The extension of the randomised ALERTT1 trial assessed the effect of switching from isCGM to rtCGM up to 24 months. METHODS In this 6-month, double-arm, parallel-group, non-masked, randomised, controlled trial, done across six hospitals in Belgium, 254 adults aged 18 years or older with type 1 diabetes previously using isCGM were randomly assigned (1:1) to rtCGM with alerts (intervention; n=127) or isCGM without alerts (control; n=127). Upon completion of the 6-month trial, the control group switched to rtCGM (is-rtCGM group), and the intervention group continued rtCGM (rt-rtCGM group). The extension focused on within-group changes in time in range (TIR; 3·9-10·0 mmol/L; primary outcome), HbA1c, time in clinically significant hypoglycaemia (<3·0 mmol/L), and Hypoglycaemia Fear Survey worry (HFS-worry) score (all prespecified key secondary outcomes). Mean within-group change versus the start of rtCGM is reported, with a positive value referring to a lower value at start of rtCGM. This trial is registered at ClinicalTrials.gov (NCT03772600). FINDINGS 119 participants were assigned to the is-rtCGM group of whom 112 (94%) completed the 24-month trial, and 123 participants were assigned to the rt-rtCGM group of whom 117 (95%) completed the 24-month trial. TIR increased from 51·8% (95% CI 49·1-54·5) at start of rtCGM (month 6) to 63·5% (60·7-66·3) at month 12 in the is-rtCGM group, and remained stable up to month 24 (change 11·7 percentage points [pp] [9·4-14·0; p<0·0001). In the rt-rtCGM group, TIR increased from 52·5% (95% CI 49·8-55·1) at start of rtCGM (month 0) to 63·0% (60·3-65·8) at month 12, also remaining stable up to month 24 (change 10·5 pp [8·2-12·8]; p<0·0001). HbA1c decreased from 7·4% (57 mmol/mol; month 6) to 6·9% (52 mmol/mol) at month 24 (change -0·54 pp [95% CI -0·64 to -0·44]; -5 mmol/mol [95% CI -6 to -4]; p<0·0001) in the is-rtCGM group, and from 7·4% (57 mmol/mol; month 0) to 7·0% (53 mmol/mol) at month 24 (change -0·43 pp [95% CI -0·53 to -0·33]; -4 mmol/mol [95% CI -5 to -3]; p<0·0001) in the rt-rtCGM group. The change in HFS-worry score was -2·67 (month 24 vs month 6; p=0·0008) in the is-rtCGM group and -5·17 points (month 24 vs month 0; p<0·0001) in the rt-rtCGM group. Time in clinically significant hypoglycaemia was unchanged in both groups after month 12. Severe hypoglycaemia decreased from 31·0 to 3·3 per 100 patient-years after switching to rtCGM. INTERPRETATION Glycaemic control and hypoglycaemia worry improved significantly up to 24 months after switching from isCGM without alerts to rtCGM with alerts, supporting the use of rtCGM in the care of adults with type 1 diabetes. FUNDING Dexcom.
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Affiliation(s)
- Margaretha M Visser
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Sara Charleer
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Steffen Fieuws
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven and University of Hasselt, Leuven, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Robert Hilbrands
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Toon Maes
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | | | - Eveline Dirinck
- Department of Endocrinology-Diabetology-Metabolism, University Hospital Antwerp, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Nele Myngheer
- Department of Endocrinology, AZ Groeninge, Kortrijk, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imeldaziekenhuis Bonheiden, Bonheiden, Belgium
| | - Frank Nobels
- Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium
| | - Bart Keymeulen
- Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium
| | - Pieter Gillard
- Department of Endocrinology, University Hospitals Leuven - KU Leuven, Leuven, Belgium; Academic Hospital and Diabetes Research Centre, Vrije Universiteit Brussel, Brussels, Belgium.
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Raets L, Van Hoorenbeeck K, Maes T, Vercammen C, De Block C, Dirinck E, Van Pottelbergh I, Wierckx K, Laenen A, Bogaerts A, Mathieu C, Benhalima K. The Belgian Diabetes in Pregnancy Follow-Up Study (BEDIP-FUS): A Multi-Centric Prospective Cohort Study on the Long-Term Metabolic Risk across Different Degrees of Gestational Glucose Intolerance: Methodology and Design. J Clin Med 2023; 12:jcm12031025. [PMID: 36769669 PMCID: PMC9917817 DOI: 10.3390/jcm12031025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/16/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
The Belgian Diabetes in Pregnancy follow-up study (BEDIP-FUS) aims to investigate the impact of body mass index (BMI), adiposity and different degrees of glucose intolerance on the metabolic profile and future risk for type 2 diabetes (T2D) in women and offspring five years after delivery in the BEDIP study. The BEDIP study was a prospective cohort study to evaluate different screening strategies for gestational diabetes (GDM) based on the 2013 WHO criteria. The aim of the BEDIP-FUS is to recruit 375 women-offspring pairs, stratified according to three different subgroups based on the antenatal result of the glucose challenge test (GCT) and oral glucose tolerance test (OGTT) during the BEDIP pregnancy. The follow-up visit consists of a 75 g OGTT, anthropometric measurements and questionnaires for the mothers, and a fasting blood sample with anthropometric measurements for the child. Primary outcome for the mother is glucose intolerance defined by the American Diabetes Association criteria and for the offspring the BMI z-score. Recruitment began in January 2021. The BEDIP-FUS study will help to better individualize follow-up in women with different degrees of hyperglycemia in pregnancy and their offspring.
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Affiliation(s)
- Lore Raets
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
- Correspondence: ; Tel.: +32-1634-7296
| | - Kim Van Hoorenbeeck
- Department of Pediatrics, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegem, Belgium
| | - Toon Maes
- Department of Endocrinology, Imelda Ziekenhuis, Imeldalaan 9, 2820 Bonheiden, Belgium
| | - Chris Vercammen
- Department of Endocrinology, Imelda Ziekenhuis, Imeldalaan 9, 2820 Bonheiden, Belgium
| | - Christophe De Block
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegem, Belgium
| | - Eveline Dirinck
- Department of Endocrinology-Diabetology-Metabolism, Antwerp University Hospital, Drie Eikenstraat 655, 2650 Edegem, Belgium
| | - Inge Van Pottelbergh
- Department of Endocrinology, OLV-Ziekenhuis Aalst-Asse-Ninove, Moorselbaan 164, 9300 Aalst, Belgium
| | - Katrien Wierckx
- Department of Endocrinology, OLV-Ziekenhuis Aalst-Asse-Ninove, Moorselbaan 164, 9300 Aalst, Belgium
| | - Annouschka Laenen
- Center of Biostatics and Statistical Bioinformatics, KU Leuven, Kapucijnenvoer 35 bloc d-box 7001, 3000 Leuven, Belgium
| | - Annick Bogaerts
- Department of Development & Regeneration, REALIFE Research Group KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Chantal Mathieu
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Katrien Benhalima
- Department of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Herestraat 49, 3000 Leuven, Belgium
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