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Kind L, Molnes J, Tjora E, Raasakka A, Myllykoski M, Colclough K, Saint-Martin C, Adelfalk C, Dusatkova P, Pruhova S, Valtonen-André C, Bellanné-Chantelot C, Arnesen T, Kursula P, Njølstad PR. Molecular mechanism of HNF-1A-mediated HNF4A gene regulation and promoter-driven HNF4A-MODY diabetes. JCI Insight 2024; 9:e175278. [PMID: 38855865 DOI: 10.1172/jci.insight.175278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 04/25/2024] [Indexed: 06/11/2024] Open
Abstract
Monogenic diabetes is a gateway to precision medicine through molecular mechanistic insight. Hepatocyte nuclear factor 1A (HNF-1A) and HNF-4A are transcription factors that engage in crossregulatory gene transcription networks to maintain glucose-stimulated insulin secretion in pancreatic β cells. Variants in the HNF1A and HNF4A genes are associated with maturity-onset diabetes of the young (MODY). Here, we explored 4 variants in the P2-HNF4A promoter region: 3 in the HNF-1A binding site and 1 close to the site, which were identified in 63 individuals from 21 families of different MODY disease registries across Europe. Our goal was to study the disease causality for these variants and to investigate diabetes mechanisms on the molecular level. We solved a crystal structure of HNF-1A bound to the P2-HNF4A promoter and established a set of techniques to probe HNF-1A binding and transcriptional activity toward different promoter variants. We used isothermal titration calorimetry, biolayer interferometry, x-ray crystallography, and transactivation assays, which revealed changes in HNF-1A binding or transcriptional activities for all 4 P2-HNF4A variants. Our results suggest distinct disease mechanisms of the promoter variants, which can be correlated with clinical phenotype, such as age of diagnosis of diabetes, and be important tools for clinical utility in precision medicine.
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Affiliation(s)
- Laura Kind
- Department of Biomedicine and
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics and
| | - Erling Tjora
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics and Adolescent Medicine, Haukeland University Hospital, Bergen, Norway
| | | | | | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom
| | - Cécile Saint-Martin
- Department of Medical Genetics, Sorbonne Université, AP-HP, Pitié-Salpêtrière Hospital, DMU BioGeM, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
| | - Caroline Adelfalk
- Clinical Genetics, Pathology and Molecular Diagnostics, University Hospital Skåne, Lund, Sweden
| | - Petra Dusatkova
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Stepanka Pruhova
- Department of Pediatrics, 2nd Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | | | - Christine Bellanné-Chantelot
- Department of Medical Genetics, Sorbonne Université, AP-HP, Pitié-Salpêtrière Hospital, DMU BioGeM, Paris, France
- Monogenic Diabetes Study Group of the Société Francophone du Diabète, Paris, France
| | - Thomas Arnesen
- Department of Biomedicine and
- Department of Surgery, Haukeland University Hospital, Bergen, Norway
| | - Petri Kursula
- Department of Biomedicine and
- Faculty of Biochemistry and Molecular Medicine & Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Section of Endocrinology and Metabolism, Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
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Colclough K, Patel K. How do I diagnose Maturity Onset Diabetes of the Young in my patients? Clin Endocrinol (Oxf) 2022; 97:436-447. [PMID: 35445424 PMCID: PMC9544561 DOI: 10.1111/cen.14744] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/21/2022] [Accepted: 04/13/2022] [Indexed: 11/28/2022]
Abstract
Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes diagnosed in young individuals that lack the typical features of type 1 and type 2 diabetes. The genetic subtype of MODY determines the most effective treatment and this is the driver for MODY genetic testing in diabetes populations. Despite the obvious clinical and health economic benefits, MODY is significantly underdiagnosed with the majority of patients being inappropriately managed as having type 1 or type 2 diabetes. Low detection rates result from the difficulty in identifying patients with a likely diagnosis of MODY from the high background population of young onset type 1 and type 2 diabetes, compounded by the lack of MODY awareness and education in diabetes care physicians. MODY diagnosis can be improved through (1) access to education and training, (2) the use of sensitive and specific selection criteria based on accurate prediction models and biomarkers to identify patients for testing, (3) the development and mainstream implementation of simple criteria-based selection pathways applicable across a range of healthcare settings and ethnicities to select the most appropriate patients for genetic testing and (4) the correct use of next generation sequencing technology to provide accurate and comprehensive testing of all known MODY and monogenic diabetes genes. The creation and public sharing of educational materials, clinical and scientific best practice guidelines and genetic variants will help identify the missing patients so they can benefit from the more effective clinical care that a genetic diagnosis brings.
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Affiliation(s)
- Kevin Colclough
- Exeter Genomics LaboratoryRoyal Devon & Exeter NHS Foundation TrustExeterUK
| | - Kashyap Patel
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
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Cromer SJ, Sella AC, Rosenberg E, Scully K, McDonnell M, Abreu AP, Weil M, Bernstein SN, Quinn M, Powe C, Mitchell DM, Udler MS. Report of Prolonged Neonatal Hypoglycemia in Three Infants of Mothers With Variants in HNF1A. AACE Clin Case Rep 2022; 8:224-230. [PMID: 36189138 PMCID: PMC9508595 DOI: 10.1016/j.aace.2022.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 07/18/2022] [Accepted: 07/22/2022] [Indexed: 11/24/2022] Open
Abstract
Background/Objective Genetic variants in hepatic nuclear factor 1α (HNF1A) cause maturity-onset diabetes of the young (MODY). We sought to examine whether HNF1A MODY variants also cause neonatal hypoglycemia. Case Report We present 3 infants with variants in HNF1A shared with their mothers. The infants experienced neonatal hypoglycemia, 2 extending beyond 1 year and the third resolving by 28 days, and all were large for gestational age (birth weights of >99th percentile). In 2 cases, genetic testing for neonatal hypoglycemia revealed pathogenic variants in HNF1A; 1 mother was previously diagnosed with HNF1A MODY, and the other's genetic testing and ultimate MODY diagnosis were prompted by her child's hypoglycemia workup. In the third case, the infant's persistent hypoglycemia prompted genetic testing, revealing an HNF1A variant of uncertain significance, which was then identified in the mother. Discussion Genetic variants causing HNF1A MODY have not been definitively linked to neonatal hypoglycemia or fetal overgrowth in utero. MODY caused by HNF1A is clinically similar to that caused by HNF4A, for which a causal relationship with neonatal hypoglycemia is more certain. Case reports have previously implicated variants in HNF1A in congenital hyperinsulinism; however, these cases have generally not been in families with MODY. The cases presented here suggest that HNF1A variants causing MODY may also cause neonatal hypoglycemia. Conclusion Although confounding factors make the assessment of neonatal hypoglycemia challenging, these cases offer potential support for single genetic variants in HNF1A causing both MODY and neonatal hypoglycemia, with associated fetal overgrowth in utero.
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Key Words
- CGM, continuous glucose monitoring
- CHI, congenital hyperinsulinism
- EFW, estimated fetal weight
- HNF1A
- HNF1A, hepatic nuclear factor-1α
- HNF4A, hepatocyte nuclear factor-4α
- HbA1C, hemoglobin A1C
- MODY
- MODY, maturity-onset diabetes of the young
- NICU, neonatal intensive care unit
- T1D, type 1 diabetes
- T2D, type 2 diabetes
- VUS, variant of uncertain significance
- congenital hyperinsulinism
- diabetes
- genetic variants
- macrosomia
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Affiliation(s)
- Sara Jane Cromer
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- The Broad Institute, Boston, Massachusetts
| | - Aluma Chovel Sella
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Emily Rosenberg
- Harvard Medical School, Boston, Massachusetts
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Kevin Scully
- Harvard Medical School, Boston, Massachusetts
- Division of Pediatric Endocrinology, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Marie McDonnell
- Harvard Medical School, Boston, Massachusetts
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Ana Paula Abreu
- Harvard Medical School, Boston, Massachusetts
- Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Brigham Center for Endocrine Genetics, Boston, Massachusetts
| | - Michelle Weil
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Sarah N. Bernstein
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts
| | - Maryanne Quinn
- Harvard Medical School, Boston, Massachusetts
- Division of Pediatric Endocrinology, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Camille Powe
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- The Broad Institute, Boston, Massachusetts
| | - Deborah M. Mitchell
- Division of Pediatric Endocrinology, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts
| | - Miriam S. Udler
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- The Broad Institute, Boston, Massachusetts
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Kang E, Chung LY, Kim YJ, Oh KE, Rhie YJ. Monogenic diabetes mellitus and clinical implications of genetic diagnosis. PRECISION AND FUTURE MEDICINE 2021. [DOI: 10.23838/pfm.2021.00100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Monogenic diabetes mellitus, which is diabetes caused by a defect in a single gene that is associated with β cell function or insulin action, accounts for 1% to 6% of all pediatric diabetes cases. Accurate diagnosis is important, as the effective treatment differs according to genetic etiology in some types of monogenic diabetes: high-dose sulfonylurea treatment in neonatal diabetes caused by activating mutations in KCNJ11 or ABCC8; low-dose sulfonylurea treatment in HNF1A/HNF4A-diabetes; and no treatment in GCK diabetes. Monogenic diabetes should be suspected by clinicians for certain combinations of clinical features and laboratory results, and approximately 80% of monogenic diabetes cases are misdiagnosed as type 1 diabetes or type 2 diabetes. Here, we outline the types of monogenic diabetes and the clinical implications of genetic diagnosis.
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Zhang H, Colclough K, Gloyn AL, Pollin TI. Monogenic diabetes: a gateway to precision medicine in diabetes. J Clin Invest 2021; 131:142244. [PMID: 33529164 PMCID: PMC7843214 DOI: 10.1172/jci142244] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Monogenic diabetes refers to diabetes mellitus (DM) caused by a mutation in a single gene and accounts for approximately 1%-5% of diabetes. Correct diagnosis is clinically critical for certain types of monogenic diabetes, since the appropriate treatment is determined by the etiology of the disease (e.g., oral sulfonylurea treatment of HNF1A/HNF4A-diabetes vs. insulin injections in type 1 diabetes). However, achieving a correct diagnosis requires genetic testing, and the overlapping of the clinical features of monogenic diabetes with those of type 1 and type 2 diabetes has frequently led to misdiagnosis. Improvements in sequencing technology are increasing opportunities to diagnose monogenic diabetes, but challenges remain. In this Review, we describe the types of monogenic diabetes, including common and uncommon types of maturity-onset diabetes of the young, multiple causes of neonatal DM, and syndromic diabetes such as Wolfram syndrome and lipodystrophy. We also review methods of prioritizing patients undergoing genetic testing, and highlight existing challenges facing sequence data interpretation that can be addressed by forming collaborations of expertise and by pooling cases.
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Affiliation(s)
- Haichen Zhang
- University of Maryland School of Medicine, Department of Medicine, Baltimore, Maryland, USA
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon and Exeter Hospital, Exeter, United Kingdom
| | - Anna L. Gloyn
- Department of Pediatrics, Division of Endocrinology, and,Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, California, USA
| | - Toni I. Pollin
- University of Maryland School of Medicine, Department of Medicine, Baltimore, Maryland, USA
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