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Younis H, Ha SE, Jorgensen BG, Verma A, Ro S. Maturity-Onset Diabetes of the Young: Mutations, Physiological Consequences, and Treatment Options. J Pers Med 2022; 12:jpm12111762. [PMID: 36573710 PMCID: PMC9697644 DOI: 10.3390/jpm12111762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/13/2022] [Accepted: 10/18/2022] [Indexed: 02/01/2023] Open
Abstract
Maturity-Onset Diabetes of the Young (MODY) is a rare form of diabetes which affects between 1% and 5% of diagnosed diabetes cases. Clinical characterizations of MODY include onset of diabetes at an early age (before the age of 30), autosomal dominant inheritance pattern, impaired glucose-induced secretion of insulin, and hyperglycemia. Presently, 14 MODY subtypes have been identified. Within these subtypes are several mutations which contribute to the different MODY phenotypes. Despite the identification of these 14 subtypes, MODY is often misdiagnosed as type 1 or type 2 diabetes mellitus due to an overlap in clinical features, high cost and limited availability of genetic testing, and unfamiliarity with MODY outside of the medical profession. The primary aim of this review is to investigate the genetic characterization of the MODY subtypes. Additionally, this review will elucidate the link between the genetics, function, and clinical manifestations of MODY in each of the 14 subtypes. In providing this knowledge, we hope to assist in the accurate diagnosis of MODY patients and, subsequently, in ensuring they receive appropriate treatment.
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Affiliation(s)
- Hazar Younis
- Department of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV 89557, USA
| | - Se Eun Ha
- Department of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV 89557, USA
| | - Brian G. Jorgensen
- Department of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV 89557, USA
| | - Arushi Verma
- Department of Pediatrics, Division of Pediatric Endocrinology, University of Nevada School of Medicine, Reno, NV 89557, USA
| | - Seungil Ro
- Department of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV 89557, USA
- RosVivo Therapeutics, Applied Research Facility, Reno, NV 89557, USA
- Correspondence:
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Maturity Onset Diabetes of the Young-New Approaches for Disease Modelling. Int J Mol Sci 2021; 22:ijms22147553. [PMID: 34299172 PMCID: PMC8303136 DOI: 10.3390/ijms22147553] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/04/2021] [Accepted: 07/09/2021] [Indexed: 02/08/2023] Open
Abstract
Maturity-onset diabetes of the young (MODY) is a genetically heterogeneous group of monogenic endocrine disorders that is characterised by autosomal dominant inheritance and pancreatic β-cell dysfunction. These patients are commonly misdiagnosed with type 1 or type 2 diabetes, as the clinical symptoms largely overlap. Even though several biomarkers have been tested none of which could be used as single clinical discriminator. The correct diagnosis for individuals with MODY is of utmost importance, as the applied treatment depends on the gene mutation or is subtype-specific. Moreover, in patients with HNF1A-MODY, additional clinical monitoring can be included due to the high incidence of vascular complications observed in these patients. Finally, stratification of MODY patients will enable better and newer treatment options for MODY patients, once the disease pathology for each patient group is better understood. In the current review the clinical characteristics and the known disease-related abnormalities of the most common MODY subtypes are discussed, together with the up-to-date applied diagnostic criteria and treatment options. Additionally, the usage of pluripotent stem cells together with CRISPR/Cas9 gene editing for disease modelling with the possibility to reveal new pathophysiological mechanisms in MODY is discussed.
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Guay C, Jacovetti C, Bayazit MB, Brozzi F, Rodriguez-Trejo A, Wu K, Regazzi R. Roles of Noncoding RNAs in Islet Biology. Compr Physiol 2020; 10:893-932. [PMID: 32941685 DOI: 10.1002/cphy.c190032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The discovery that most mammalian genome sequences are transcribed to ribonucleic acids (RNA) has revolutionized our understanding of the mechanisms governing key cellular processes and of the causes of human diseases, including diabetes mellitus. Pancreatic islet cells were found to contain thousands of noncoding RNAs (ncRNAs), including micro-RNAs (miRNAs), PIWI-associated RNAs, small nucleolar RNAs, tRNA-derived fragments, long non-coding RNAs, and circular RNAs. While the involvement of miRNAs in islet function and in the etiology of diabetes is now well documented, there is emerging evidence indicating that other classes of ncRNAs are also participating in different aspects of islet physiology. The aim of this article will be to provide a comprehensive and updated view of the studies carried out in human samples and rodent models over the past 15 years on the role of ncRNAs in the control of α- and β-cell development and function and to highlight the recent discoveries in the field. We not only describe the role of ncRNAs in the control of insulin and glucagon secretion but also address the contribution of these regulatory molecules in the proliferation and survival of islet cells under physiological and pathological conditions. It is now well established that most cells release part of their ncRNAs inside small extracellular vesicles, allowing the delivery of genetic material to neighboring or distantly located target cells. The role of these secreted RNAs in cell-to-cell communication between β-cells and other metabolic tissues as well as their potential use as diabetes biomarkers will be discussed. © 2020 American Physiological Society. Compr Physiol 10:893-932, 2020.
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Affiliation(s)
- Claudiane Guay
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Cécile Jacovetti
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Mustafa Bilal Bayazit
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Flora Brozzi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Adriana Rodriguez-Trejo
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Kejing Wu
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Romano Regazzi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.,Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
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Sztromwasser P, Michalak A, Małachowska B, Młudzik P, Antosik K, Hogendorf A, Zmysłowska A, Borowiec M, Młynarski W, Fendler W. A cross-sectional study of patients referred for HNF1B-MODY genetic testing due to cystic kidneys and diabetes. Pediatr Diabetes 2020; 21:422-430. [PMID: 31825128 PMCID: PMC7217165 DOI: 10.1111/pedi.12959] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 10/22/2019] [Accepted: 12/04/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND/OBJECTIVES Patients referred for HNF1B testing present very heterogeneous phenotypes. Despite suggestive characteristics, many do not harbor mutations in HNF1B. Our objective was to evaluate the clinical characteristics of probands referred for HNF1B genetic testing through a nationwide monogenic diabetes screening program. METHODS Probands tested for HNF1B mutations in the 2005-2018 period (N = 50) were identified in the Polish Monogenic Diabetes Registry, which prospectively recruits primarily pediatric patients and their families on a nationwide scale. Variants that had been reported pathogenic were reassessed using criteria of the American College of Medical Genetics and Genomics (ACMG). A structured medical interview was performed with all available individuals, their parents, and/or their physicians. For each patient, HNF1B score was calculated based on available clinical information. RESULTS The study group numbered 36 unrelated probands (28% lost to follow-up): 14 with pathogenic or likely-pathogenic variants in HNF1B, one with a variant of uncertain significance, and 21 negative for HNF1B mutations. Presence of cystic kidneys (OR = 9.17, 95% CI:1.87-44.92), pancreatic abnormalities (OR = 15, 95% CI:1.55-145.23), elevated liver enzymes (OR = 15, 95% CI:1.55-145.23) best discriminated HNF1B-positive cases from the negative ones. Presence of impaired glucose tolerance coupled with kidney disease in the proband and one parent was also highly predictive for HNF1B mutations (OR = 11.11, 95% CI:1.13-109.36). HNF1B-score with recommended cutoff distinguished patients with and without HNF1B findings with 100% sensitivity and 47.6% specificity. Addition of four clinical variables to select patients based on HNF1B score improved specificity to 71.4% (95% CI:47.8%-88.7%) while retaining 100% sensitivity. CONCLUSIONS Detailed medical interview may enable more accurate patient selection for targeted genetic testing.
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Affiliation(s)
- Paweł Sztromwasser
- Department of Biostatistics and Translational MedicineMedical University of LodzLodzPoland
| | - Arkadiusz Michalak
- Department of Biostatistics and Translational MedicineMedical University of LodzLodzPoland,Department of Pediatrics, Diabetology, Endocrinology, and NephrologyMedical University of LodzLodzPoland
| | - Beata Małachowska
- Department of Biostatistics and Translational MedicineMedical University of LodzLodzPoland
| | - Paulina Młudzik
- Department of Clinical GeneticsMedical University of LodzLodzPoland
| | - Karolina Antosik
- Department of Clinical GeneticsMedical University of LodzLodzPoland
| | - Anna Hogendorf
- Department of Pediatrics, Diabetology, Endocrinology, and NephrologyMedical University of LodzLodzPoland
| | - Agnieszka Zmysłowska
- Department of Pediatrics, Diabetology, Endocrinology, and NephrologyMedical University of LodzLodzPoland
| | - Maciej Borowiec
- Department of Clinical GeneticsMedical University of LodzLodzPoland
| | - Wojciech Młynarski
- Department of Pediatrics, Oncology and HematologyMedical University of LodzLodzPoland
| | - Wojciech Fendler
- Department of Biostatistics and Translational MedicineMedical University of LodzLodzPoland,Department of Radiation OncologyDana‐Farber Cancer InstituteBostonMassachusetts
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