1
|
Osafehinti D, Mulukutla SN, Hampe CS, Gaba R, Ram N, Weedon MN, Oram RA, Balasubramanyam A. Type 1 Diabetes Genetic Risk Score Differentiates Subgroups of Ketosis-Prone Diabetes. Diabetes Care 2023; 46:1778-1782. [PMID: 37506364 PMCID: PMC10516251 DOI: 10.2337/dc23-0622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023]
Abstract
OBJECTIVE To determine whether genetic risk for type 1 diabetes (T1D) differentiates the four Aβ subgroups of ketosis-prone diabetes (KPD), where A+ and A- define the presence or absence of islet autoantibodies and β+ and β- define the presence or absence of β-cell function. RESEARCH DESIGN AND METHODS We compared T1D genetic risk scores (GRS) of patients with KPD across subgroups, race/ethnicity, β-cell function, and glycemia. RESULTS Among 426 patients with KPD (54% Hispanic, 31% African American, 11% White), rank order of GRS was A+β- > A+β+ = A-β- > A-β+. GRS of A+β- KPD was lower than that of a T1D cohort, and GRS of A-β+ KPD was higher than that of a type 2 diabetes cohort. GRS was lowest among African American patients, with a similar distribution across KPD subgroups. CONCLUSIONS T1D genetic risk delineates etiologic differences among KPD subgroups. Patients with A+β- KPD have the highest and those with A-β+ KPD the lowest GRS.
Collapse
Affiliation(s)
- Deborah Osafehinti
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | | | | | - Ruchi Gaba
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Nalini Ram
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| | - Michael N. Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Richard A. Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, and The Academic Kidney Unit, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX
| |
Collapse
|
2
|
Balasubramanyam A, Redondo MJ, Craigen W, Dai H, Davis A, Desai D, Dussan M, Faruqi J, Gaba R, Gonzalez I, Jhangiani S, Kubota-Mishra E, Liu P, Murdock D, Posey J, Ram N, Sabo A, Sisley S, Tosur M, Venner E, Astudillo M, Cardenas A, Fang MA, Hattery E, Ideouzu A, Jimenez J, Kikani N, Montes G, O’Brien NG, Wong LJ, Goland R, Chung WK, Evans A, Gandica R, Leibel R, Mofford K, Pring J, Evans-Molina C, Anwar F, Monaco G, Neyman A, Saeed Z, Sims E, Spall M, Hernandez-Perez M, Mather K, Moors K, Udler MS, Florez JC, Calverley M, Chen V, Chu K, Cromer S, Deutsch A, Faciebene M, Greaux E, Koren D, Kreienkamp R, Larkin M, Marshall W, Ricevuto P, Sabean A, Thangthaeng N, Han C, Sherwood J, Billings LK, Banerji MA, Bally K, Brown N, Ji B, Soni L, Lee M, Abrams J, Thomas L, Abrams J, Skiwiersky S, Philipson LH, Greeley SAW, Bell G, Banogon S, Desai J, Ehrmann D, Letourneau-Freiberg LR, Naylor RN, Papciak E, Friedman Ross L, Sundaresan M, Bender C, Tian P, Rasouli N, Kashkouli MB, Baker C, Her A, King C, Pyreddy A, Singh V, Barklow J, Farhat N, Lorch R, Odean C, Schleis G, Underkofler C, Pollin TI, Bryan H, Maloney K, Miller R, Newton P, Nikita ME, Nwaba D, Silver K, Tiner J, Whitlatch H, Palmer K, Riley S, Streeten E, Oral EA, Broome D, Dill Gomes A, Foss de Freitas M, Gregg B, Grigoryan S, Imam S, Sonmez Ince M, Neidert A, Richison C, Akinci B, Hench R, Buse J, Armstrong C, Christensen C, Diner J, Fraser R, Fulghum K, Ghorbani T, Kass A, Klein K, Kirkman MS, Hirsch IB, Baran J, Dong X, Kahn SE, Khakpour D, Mandava P, Sameshima L, Kalerus T, Pihoker C, Loots B, Santarelli K, Pascual C, Niswender K, Edwards N, Gregory J, Powers A, Ramirez A, Scott J, Smith J, Urano F, Hughes J, Hurst S, McGill J, Stone S, May J, Krischer JP, Adusumalli R, Albritton B, Aquino A, Bransford P, Cadigan N, Gandolfo L, Garmeson J, Gomes J, Gowing R, Karges C, Kirk C, Muller S, Morissette J, Parikh HM, Perez-Laras F, Remedios CL, Ruiz P, Sulman N, Toth M, Wurmser L, Eberhard C, Fiske S, Hutchinson B, Nekkanti S, Wood R, Florez JC, Alkanaq A, Brandes M, Burtt N, Flannick J, Olorunfemi P, Udler MS, Caulkins L, Wasserfall C, Winter W, Pittman D, Akolkar B, Lee C, Carey DJ, Hood D, Marcovina SM, Newgard CB. The Rare and Atypical Diabetes Network (RADIANT) Study: Design and Early Results. Diabetes Care 2023; 46:1265-1270. [PMID: 37104866 PMCID: PMC10234756 DOI: 10.2337/dc22-2440] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/27/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE The Rare and Atypical Diabetes Network (RADIANT) will perform a study of individuals and, if deemed informative, a study of their family members with uncharacterized forms of diabetes. RESEARCH DESIGN AND METHODS The protocol includes genomic (whole-genome [WGS], RNA, and mitochondrial sequencing), phenotypic (vital signs, biometric measurements, questionnaires, and photography), metabolomics, and metabolic assessments. RESULTS Among 122 with WGS results of 878 enrolled individuals, a likely pathogenic variant in a known diabetes monogenic gene was found in 3 (2.5%), and six new monogenic variants have been identified in the SMAD5, PTPMT1, INS, NFKB1, IGF1R, and PAX6 genes. Frequent phenotypic clusters are lean type 2 diabetes, autoantibody-negative and insulin-deficient diabetes, lipodystrophic diabetes, and new forms of possible monogenic or oligogenic diabetes. CONCLUSIONS The analyses will lead to improved means of atypical diabetes identification. Genetic sequencing can identify new variants, and metabolomics and transcriptomics analysis can identify novel mechanisms and biomarkers for atypical disease.
Collapse
|
3
|
Boike S, Mir M, Rauf I, Jama AB, Sunesara S, Mushtaq H, Khedr A, Nitesh J, Surani S, Khan SA. Ketosis-prone diabetes mellitus: A phenotype that hospitalists need to understand. World J Clin Cases 2022; 10:10867-10872. [PMID: 36338201 PMCID: PMC9631166 DOI: 10.12998/wjcc.v10.i30.10867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/23/2022] [Accepted: 09/09/2022] [Indexed: 02/05/2023] Open
Abstract
Diabetes has been classified mainly into types 1 and 2. Some type 2 diabetes patients, when developing ketosis, have been labeled as having atypical diabetes. Lately, syndromes of ketosis-prone diabetes, primarily in patients who we previously classified as type 2 diabetics, have emerged, and calls are being made to even reclassify diabetes. This mini-review will extensively deal with the historical, molecular, phenotypical, and clinical basis of why ketosis-prone diabetes is different than the traditional principles of type 1 and 2 diabetes and should be classified as such. Clinicians, especially those who are not diabetologists or endocrinologists, as well as hospitalists, intensivists, and primary care providers, will greatly benefit from this review.
Collapse
Affiliation(s)
- Sydney Boike
- Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Mikael Mir
- Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, United States
| | - Ibtisam Rauf
- Medicine, St. George’s School of Medicine, Grenada FZ818, West Indies
| | - Abbas B Jama
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| | - Shaleen Sunesara
- Medicine, University of Southern California, Los Angeles, CA 90007, United States
| | - Hisham Mushtaq
- Medicine, St. Vincent’s Medical Center, Bridgeport, CT 06606, United States
| | - Anwar Khedr
- Medicine, BronxCare Health System, Bronx, NY 10457, United States
| | - Jain Nitesh
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| | - Salim Surani
- Medicine, Texas A&M University, Bryan, TX 77843, United States
- Anesthesiology, Mayo Clinic, Rochester, MN 55905, United States
| | - Syed A Khan
- Critical Care Medicine, Mayo Clinic Health System, Mankato, MN 56001, United States
| |
Collapse
|
4
|
Cell-Free DNA Fragments as Biomarkers of Islet β-Cell Death in Obesity and Type 2 Diabetes. Int J Mol Sci 2021; 22:ijms22042151. [PMID: 33670079 PMCID: PMC7926743 DOI: 10.3390/ijms22042151] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/15/2021] [Accepted: 02/19/2021] [Indexed: 01/03/2023] Open
Abstract
Type 2 diabetes (T2D) typically occurs in the setting of obesity and insulin resistance, where hyperglycemia is associated with decreased pancreatic β-cell mass and function. Loss of β-cell mass has variably been attributed to β-cell dedifferentiation and/or death. In recent years, it has been proposed that circulating epigenetically modified DNA fragments arising from β cells might be able to report on the potential occurrence of β-cell death in diabetes. Here, we review published literature of DNA-based β-cell death biomarkers that have been evaluated in human cohorts of islet transplantation, type 1 diabetes, and obesity and type 2 diabetes. In addition, we provide new data on the applicability of one of these biomarkers (cell free unmethylated INS DNA) in adult cohorts across a spectrum from obesity to T2D, in which no significant differences were observed, and compare these findings to those previously published in youth cohorts where differences were observed. Our analysis of the literature and our own data suggest that β-cell death may occur in subsets of individuals with obesity and T2D, however a more sensitive method or refined study designs are needed to provide better alignment of sampling with disease progression events.
Collapse
|
5
|
Speake C, Ylescupidez A, Neiman D, Shemer R, Glaser B, Tersey SA, Usmani-Brown S, Clark P, Wilhelm JJ, Bellin MD, Herold KC, Mirmira RG, Dor Y, Evans-Molina C. Circulating Unmethylated Insulin DNA As a Biomarker of Human Beta Cell Death: A Multi-laboratory Assay Comparison. J Clin Endocrinol Metab 2020; 105:5698251. [PMID: 31913467 PMCID: PMC7015459 DOI: 10.1210/clinem/dgaa008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/06/2020] [Indexed: 02/06/2023]
Abstract
CONTEXT There is an unmet need for biomarkers of pancreatic beta-cell death to improve early diagnosis of type 1 diabetes, enroll subjects into clinical trials, and assess treatment response. To address this need, several groups developed assays measuring insulin deoxyribonucleic acid (DNA) with unmethylated CpG sites in cell-free DNA. Unmethylated insulin DNA should be derived predominantly from beta-cells and indicate ongoing beta-cell death. OBJECTIVE To assess the performance of three unmethylated insulin DNA assays. DESIGN AND PARTICIPANTS Plasma or serum samples from 13 subjects undergoing total pancreatectomy and islet autotransplantation were coded and provided to investigators to measure unmethylated insulin DNA. Samples included a negative control taken post-pancreatectomy but pretransplant, and a positive control taken immediately following islet infusion. We assessed technical reproducibility, linearity, and persistence of detection of unmethylated insulin DNA for each assay. RESULTS All assays discriminated between the negative sample and samples taken directly from the islet transplant bag; 2 of 3 discriminated negative samples from those taken immediately after islet infusion. When high levels of unmethylated insulin DNA were present, technical reproducibility was generally good for all assays. CONCLUSIONS The measurement of beta cell cell-free DNA, including insulin, is a promising approach, warranting further testing and development in those with or at-risk for type 1 diabetes, as well as in other settings where understanding the frequency or kinetics of beta cell death could be useful.
Collapse
Affiliation(s)
- Cate Speake
- Diabetes Clinical Research Program, Benaroya Research Institute at Virginia Mason, Seattle, WA, US
- Correspondence and Reprint Requests: Cate Speake, PhD, Diabetes Clinical Research Program, Benaroya Research Institute, 1201 9th Avenue, Seattle, WA 98101. E-mail:
| | - Alyssa Ylescupidez
- Diabetes Clinical Research Program, Benaroya Research Institute at Virginia Mason, Seattle, WA, US
| | - Daniel Neiman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Sarah A Tersey
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
| | | | - Pamela Clark
- Departments of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT, US
| | - Joshua J Wilhelm
- Department of Surgery, Schulze Diabetes Institute, University of Minnesota, Minneapolis, MN, US
| | - Melena D Bellin
- Departments of Pediatrics and Surgery, University of Minnesota, Minneapolis, MN, US
| | - Kevan C Herold
- Departments of Immunobiology and Internal Medicine, Yale University School of Medicine, New Haven, CT, US
| | - Raghavendra G Mirmira
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Carmella Evans-Molina
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, US
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, US
- The Richard L. Roudebush VA Medical Center, Indianapolis, IN, US
| |
Collapse
|
6
|
BALASUBRAMANYAM ASHOK. SYNDROMES OF KETOSIS-PRONE DIABETES. TRANSACTIONS OF THE AMERICAN CLINICAL AND CLIMATOLOGICAL ASSOCIATION 2019; 130:145-155. [PMID: 31516178 PMCID: PMC6736014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Ketosis-prone diabetes (KPD) is a heterogeneous condition characterized by patients who present with diabetic ketoacidosis but lack the phenotype of autoimmune type 1 diabetes. Here I review progress in our understanding of KPD and its place in the expanding universe of "atypical diabetes." I focus on investigations of our collaborative research group at Baylor College of Medicine and the University of Washington using a longitudinally followed, heterogeneous, multiethnic cohort of KPD patients. We have identified clinically and pathophysiologically distinct KPD subgroups, separable by the presence or absence of islet autoimmunity and the presence or absence of beta cell functional reserve. The resulting "Aß" classification of KPD accurately predicts long-term glycemic control and insulin dependence. I describe key characteristics of the KPD subgroups, their natural histories, and our investigations into their immunologic, genetic, and metabolic etiologies. These studies serve as a paradigm for the investigation of atypical forms of diabetes.
Collapse
Affiliation(s)
- ASHOK BALASUBRAMANYAM
- Correspondence and reprint requests: Ashok Balasubramanyam, MD, Baylor College of Medicine,
BCM 171A, One Baylor Plaza, Houston, Texas 77479713-798-5691713-798-4585
| |
Collapse
|
7
|
Sims EK, Evans-Molina C, Tersey SA, Eizirik DL, Mirmira RG. Biomarkers of islet beta cell stress and death in type 1 diabetes. Diabetologia 2018; 61:2259-2265. [PMID: 30112687 PMCID: PMC6160346 DOI: 10.1007/s00125-018-4712-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/05/2018] [Indexed: 12/18/2022]
Abstract
Recent work on the pathogenesis of type 1 diabetes has led to an evolving recognition of the heterogeneity of this disease, both with regards to clinical phenotype and responses to therapies to prevent or revert diabetes. This heterogeneity not only limits efforts to accurately predict clinical disease but also is reflected in differing responses to immunomodulatory therapeutics. Thus, there is a need for robust biomarkers of beta cell health, which could provide insight into pathophysiological differences in disease course, improve disease prediction, increase the understanding of therapeutic responses to immunomodulatory interventions and identify individuals most likely to benefit from these therapies. In this review, we outline current literature, limitations and future directions for promising circulating markers of beta cell stress and death in type 1 diabetes, including markers indicating abnormal prohormone processing, circulating RNAs and circulating DNAs.
Collapse
Affiliation(s)
- Emily K Sims
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, 635 Barnhill Drive, MS2031, Indianapolis, IN, 46202, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Carmella Evans-Molina
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, 635 Barnhill Drive, MS2031, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VA Medical Center, US Department of Veterans Affairs, Indianapolis, IN, USA
| | - Sarah A Tersey
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, 635 Barnhill Drive, MS2031, Indianapolis, IN, 46202, USA
| | - Decio L Eizirik
- ULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, Belgium
| | - Raghavendra G Mirmira
- Center for Diabetes and Metabolic Diseases, Herman B. Wells Center for Pediatric Research, Department of Pediatrics, Indiana University School of Medicine, 635 Barnhill Drive, MS2031, Indianapolis, IN, 46202, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Cellular and Integrative Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
| |
Collapse
|