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Wang P, Liao H, Wang Q, Xie H, Xu B, Xiang Q, Wang H, Yang M, Liu S. Functional characterization of inactivating ABCC8 variants causing congenital hyperinsulinism. Clin Genet 2024; 105:549-554. [PMID: 38225536 DOI: 10.1111/cge.14484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/30/2023] [Accepted: 01/03/2024] [Indexed: 01/17/2024]
Abstract
Congenital hyperinsulinism (CHI; OMIM: 256450) is characterized by persistent insulin secretion despite severe hypoglycemia. The most common causes are variants in the ATP-binding cassette subfamily C member 8(ABCC8) and potassium inwardly-rectifying channel subfamily J member 11(KCNJ11) genes. These encode ATP-sensitive potassium (KATP) channel subunit sulfonylurea receptor 1 (SUR1) and inwardly rectifying potassium channel (Kir6.2) proteins. A 7-day-old male infant presented with frequent hypoglycemic episodes and was clinically diagnosed with CHI, underwent trio-whole-exome sequencing, revealing compound heterozygous ABCC8 variants (c.307C>T, p.His103Tyr; and c.3313_3315del, p.Ile1105del) were identified. In human embryonic kidney 293 (HEK293) and rat insulinoma cells (INS-1) transfected with wild-type and variant plasmids, KATP channels formed by p.His103Tyr were delivered to the plasma membrane, whereas p.Ile1105del or double variants (p.His103Tyr coupled with p.Ile1105del) failed to be transported to the plasma membrane. Compared to wild-type channels, the channels formed by the variants (p.His103Tyr; p.Ile1105del) had elevated basal [Ca2+]i, but did not respond to stimulation by glucose. Our results provide evidence that the two ABCC8 variants may be related to CHI owing to defective trafficking and dysfunction of KATP channels.
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Affiliation(s)
- Ping Wang
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Hong Liao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
- Department of Obstetrics & Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Quyou Wang
- Prenatal Diagnosis Center, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Hanbing Xie
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Bocheng Xu
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Qinqin Xiang
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - He Wang
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Mei Yang
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
| | - Shanling Liu
- Department of Medical Genetics/Prenatal Diagnostic Center, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China
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Teerawattanapong N, Tangjarusritaratorn T, Narkdontri T, Santiprabhob J, Tangjittipokin W. Investigation of Monogenic Diabetes Genes in Thai Children with Autoantibody Negative Diabetes Requiring Insulin. Diabetes Metab Syndr Obes 2024; 17:795-808. [PMID: 38375489 PMCID: PMC10875177 DOI: 10.2147/dmso.s409713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 02/03/2024] [Indexed: 02/21/2024] Open
Abstract
Purpose The objective of this study was to clarify the phenotypic characteristics of monogenic diabetes abnormalities in Thai children with autoantibody-negative insulin. Patients and Methods Two hundred and thirty-one Thai type 1 diabetes (T1D) patients out of 300 participants with recent-onset diabetes were analyzed for GAD65 and IA2 pancreatic autoantibodies. A total of 30 individuals with T1D patients with negative autoantibody were screened for 32 monogenic diabetes genes by whole-exome sequencing (WES). Results All participants were ten men and twenty women. The median age to onset of diabetes was 8 years and 3 months. A total of 20 people with monogenic diabetes carried genes related to monogenic diabetes. The PAX4 (rs2233580) in ten patients with monogenic diabetes was found. Seven variants of WFS1 (Val412Ala, Glu737Lys, Gly576Ser, Cys673Tyr, Arg456His, Lys424Glu, and Gly736fs) were investigated in patients in this study. Furthermore, the pathogenic variant, rs115099192 (Pro407Gln) in the GATA4 gene was found. Most patients who carried PAX4 (c.575G>A, rs2233580) did not have a history of DKA. The pathogenic variant GATA4 variant (c.1220C>A, rs115099192) was found in a patient with a history of DKA. Conclusion This study demonstrated significant genetic overlap between autoantibody-negative diabetes and monogenic diabetes using WES. All candidate variants were considered disease risk with clinically significant variants. WES screening was the first implemented to diagnose monogenic diabetes in Thai children, and fourteen novel variants were identified in this study and need to be investigated in the future.
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Affiliation(s)
- Nipaporn Teerawattanapong
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Thanida Tangjarusritaratorn
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Tassanee Narkdontri
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Jeerunda Santiprabhob
- Siriraj Diabetes Center of Excellence, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Division of Endocrinology & Metabolism, Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Watip Tangjittipokin
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
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Sun S, Gong S, Li M, Wang X, Wang F, Cai X, Liu W, Luo Y, Zhang S, Zhang R, Zhou L, Zhu Y, Ma Y, Ren Q, Zhang X, Chen J, Chen L, Wu J, Gao L, Zhou X, Li Y, Zhong L, Han X, Ji L. Clinical and genetic characteristics of CEL-MODY (MODY8): a literature review and screening in Chinese individuals diagnosed with early-onset type 2 diabetes. Endocrine 2024; 83:99-109. [PMID: 37726640 DOI: 10.1007/s12020-023-03512-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/28/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVE CEL-related maturity-onset diabetes of the young (CEL-MODY, MODY8) is a special type of monogenetic diabetes caused by mutations in the carboxyl-ester lipase (CEL) gene. This study aimed to summarize the genetic and clinical characteristics of CEL-MODY patients and to determine the prevalence of the disease among Chinese patients with early-onset type 2 diabetes (EOD). METHODS We systematically reviewed the literature associated with CEL-MODY in PubMed, Embase, Web of Science, China National Knowledge Infrastructure and Wanfang Data to analyze the features of patients with CEL-MODY. We screened and evaluated rare variants of the CEL gene in a cohort of 679 Chinese patients with EOD to estimate the prevalence of CEL-MODY in China. RESULTS In total, 21 individuals reported in previous studies were diagnosed with CEL-MODY based on the combination of diabetes and pancreatic exocrine dysfunction as well as frameshift mutations in exon 11 of the CEL gene. CEL-MODY patients were nonobese and presented with exocrine pancreatic affection (e.g., chronic pancreatitis, low fecal elastase levels, pancreas atrophy and lipomatosis) followed by insulin-dependent diabetes. No carriers of CEL missense mutations were reported with exocrine pancreatic dysfunction. Sequencing of CEL in Chinese EOD patients led to the identification of the variant p.Val736Cysfs*22 in two patients. However, these patients could not be diagnosed with CEL-MODY because there were no signs that the exocrine pancreas was afflicted. CONCLUSION CEL-MODY is a very rare disease caused by frameshift mutations affecting the proximal VNTR segments of the CEL gene. Signs of exocrine pancreatic dysfunction provide diagnostic clues for CEL-MODY, and genetic testing is vital for proper diagnosis. Further research in larger cohorts is needed to investigate the characteristics and prevalence of CEL-MODY in the Chinese population.
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Affiliation(s)
- Siyu Sun
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Meng Li
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Xirui Wang
- Beijing Airport Hospital, No. 49, Shuangyu Street, Beijing, 101318, China
| | - Fang Wang
- Capital Medical University Beijing Tiantan Hospital, No. 119, Nansihuan West Street, Beijing, 100050, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Wei Liu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Simin Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Lingli Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Yu Zhu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Yumin Ma
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Qian Ren
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Jing Chen
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Ling Chen
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Jing Wu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Leili Gao
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China
| | - Yufeng Li
- Beijing Pinggu Hospital, No. 59, Xinping North Street, Beijing, 101200, China
| | - Liyong Zhong
- Capital Medical University Beijing Tiantan Hospital, No. 119, Nansihuan West Street, Beijing, 100050, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China.
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, No. 11, Xizhimen South Street, Beijing, 100044, China.
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Liu X, Wang J, Li W, Zhang K, Sun X, Han F, Hui Z, Kan C. Case report: Maturity-Onset Diabetes of the Young (MODY12) caused by ABCC8 gene mutations. Int J Diabetes Dev Ctries 2023; 43:781-784. [DOI: 10.1007/s13410-023-01179-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/11/2023] [Indexed: 08/05/2024] Open
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Aarthy R, Aston-Mourney K, Amutha A, Mikocka-Walus A, Anjana RM, Unnikrishnan R, Jebarani S, Venkatesan U, Gopi S, Radha V, Mohan V. Identification of appropriate biochemical parameters and cut points to detect Maturity Onset Diabetes of Young (MODY) in Asian Indians in a clinic setting. Sci Rep 2023; 13:11408. [PMID: 37452084 PMCID: PMC10349068 DOI: 10.1038/s41598-023-37766-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023] Open
Abstract
Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes which is detected by genetic testing. We looked at clinical and biochemcial variables that could help detect possible MODY among Asian Indians with youth-onset diabetes. From the diabetes electronic medical records of a diabetes care centre in Chennai in southern India, demographic, anthropometric, and biochemical details of 34 genetically confirmed MODY participants were extracted. They were compared with patients with type 1 diabetes (T1D) (n = 1011) and type 2 diabetes (T2D) (n = 1605), diagnosed below 30 years of age. Clinical and biochemical variables including body mass index (BMI), glycated hemoglobin, HDL cholesterol, and C-peptide (fasting and stimulated) were analyzed to determine whether cut points could be derived to identify individuals who could be sent for genetic testing to diagnose or rule out MODY in this ethnic group. The age at diagnosis was higher for T2D (26.5 ± 4.0 years) compared to T1D (18.2 ± 6.1 years) and MODY (17.8 ± 6.0 years). Individuals with MODY had BMI, glycated hemoglobin, total cholesterol, triglycerides, HDL cholesterol, and C-peptide levels which were intermediate between T1D and T2D. The identified probable parameters and their cut points to identify cases for MODY genetic screening were BMI 21.2-22.7 kg/m2, glycated hemoglobin 7.2-10%, HDL cholesterol 43-45 mg/dl, fasting C -peptide, 1.2-2.1 ng/ml and stimulated C-peptide, 2.1-4.5 ng/ml. Asian Indians with MODY have clinical features that are intermediate between T1D and T2D and selected biochemical parameters, especially stimulated C peptide cut points were the most useful to diagnose MODY.
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Affiliation(s)
- Ramasamy Aarthy
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University Geelong, Geelong, Australia
| | - Kathryn Aston-Mourney
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University Geelong, Geelong, Australia
| | - Anandakumar Amutha
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | | | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India
| | - Saravanan Jebarani
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Ulagamathesan Venkatesan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Sundaramoorthy Gopi
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Venkatesan Radha
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation (ICMR Centre for Advanced Research on Diabetes), Chennai, India.
- Dr. Mohan's Diabetes Specialties Centre (IDF Centre of Excellence in Diabetes Care), No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India.
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Tosur M, Philipson LH. Precision diabetes: Lessons learned from maturity-onset diabetes of the young (MODY). J Diabetes Investig 2022; 13:1465-1471. [PMID: 35638342 PMCID: PMC9434589 DOI: 10.1111/jdi.13860] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/20/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022] Open
Abstract
Maturity-onset of diabetes of the young (MODY) are monogenic forms of diabetes characterized by early onset diabetes with autosomal dominant inheritance. Since its first description about six decades ago, there have been significant advancements in our understanding of MODY from clinical presentations to molecular diagnostics and therapeutic responses. The prevalence of MODY is estimated as at least 1.1-6.5% of the pediatric diabetes population with a high degree of geographic variability that might arise from several factors in the criteria used to ascertain cases. GCK-MODY, HNF1A-MODY, and HNF4A-MODY account for >90% of MODY cases. While some MODY forms do not require treatment (i.e., GCK-MODY), some others are highly responsive to oral agents (i.e., HNF1A-MODY). The risk of micro- and macro-vascular complications of diabetes also differ significantly between MODY forms. Despite its high clinical impact, 50-90% of MODY cases are estimated to be misdiagnosed as type 1 or type 2 diabetes. Although there are many clinical features suggestive of MODY diagnosis, there is no single clinical criterion. An online MODY Risk Calculator can be a useful tool for clinicians in the decision-making process for MODY genetic testing in some situations. Molecular genetic tests with a commercial gene panel should be performed in cases with a suspicion of MODY. Unresolved atypical cases can be further studied by exome or genome sequencing in a clinical or research setting, as available.
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Affiliation(s)
- Mustafa Tosur
- The Division of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of MedicineTexas Children's HospitalHoustonTexasUSA
| | - Louis H Philipson
- Departments of Medicine and Pediatrics, Kovler Diabetes CenterUniversity of ChicagoChicagoIllinoisUSA
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Hu K, Zatyka M, Astuti D, Beer N, Dias RP, Kulkarni A, Ainsworth J, Wright B, Majander A, Yu-Wai-Man P, Williams D, Barrett T. WFS1 protein expression correlates with clinical progression of optic atrophy in patients with Wolfram syndrome. J Med Genet 2022; 59:65-74. [PMID: 34006618 PMCID: PMC8685651 DOI: 10.1136/jmedgenet-2020-107257] [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] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/15/2020] [Accepted: 10/15/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Wolfram syndrome (WFS) is a rare disorder characterised by childhood-onset diabetes mellitus and progressive optic atrophy. Most patients have variants in the WFS1 gene. We undertook functional studies of WFS1 variants and correlated these with WFS1 protein expression and phenotype. METHODS 9 patients with a clinical diagnosis of WFS were studied with quantitative PCR for markers of endoplasmic reticulum (ER) stress and immunoblotting of fibroblast protein extracts for WFS1 protein expression. Luciferase reporter assay was used to assess ATF-6 dependent unfolded protein response (UPR) activation. RESULTS 6 patients with compound heterozygous nonsense mutations in WFS1 had no detectable WFS1 protein expression; 3 patients with missense variants had 4%, 45% and 48% WFS1 protein expression. One of these also had an OPA1 mutation and was reclassified as autosomal dominant optic atrophy-plus syndrome. There were no correlations between ER stress marker mRNA and WFS1 protein expression. ERSE-luciferase reporter indicated activation of the ATF6 branch of UPR in two patients tested. Patients with partial WFS1 expression showed milder visual acuity impairment (asymptomatic or colour blind only), compared with those with absent expression (registered severe vision impaired) (p=0.04). These differences remained after adjusting for duration of optic atrophy. CONCLUSIONS Patients with WFS who have partial WFS1 protein expression present with milder visual impairment. This suggests a protective effect of partial WFS1 protein expression on the severity and perhaps progression of vision impairment and that therapies to increase residual WFS1 protein expression may be beneficial.
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Affiliation(s)
- Kun Hu
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
| | - Malgorzata Zatyka
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
| | - Dewi Astuti
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
| | - Nicola Beer
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University, Oxford, Oxfordshire, UK
| | - Renuka P Dias
- Institute of Metabolism and Systems Research, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
| | - Archana Kulkarni
- Department of Ophthalmology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - John Ainsworth
- Department of Ophthalmology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Benjamin Wright
- Department of Neurology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Anna Majander
- Department of Ophthalmology, Helsinki University Hospital, University of Helsinki Faculty of Medicine, Helsinki, Uusimaa, Finland
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, Greater London, UK
| | - Patrick Yu-Wai-Man
- National Institute for Health Research Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, Greater London, UK
- Cambridge Centre for Brain Repair, University of Cambridge, Cambridge, Cambridgeshire, UK
| | - Denise Williams
- Department of Clinical Genetics, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, Birmingham, UK
| | - Timothy Barrett
- Institute of Cancer and Genomic Sciences, University of Birmingham College of Medical and Dental Sciences, Birmingham, UK
- Department of Endocrinology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
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Rafique I, Mir A, Siddiqui S, Saqib MAN, Fawwad A, Marchand L, Adnan M, Naeem M, Basit A, Polychronakos C. Comprehensive genetic screening reveals wide spectrum of genetic variants in monogenic forms of diabetes among Pakistani population. World J Diabetes 2021; 12:1957-1966. [PMID: 34888019 PMCID: PMC8613659 DOI: 10.4239/wjd.v12.i11.1957] [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: 05/18/2021] [Revised: 07/14/2021] [Accepted: 10/27/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Monogenic forms of diabetes (MFD) are single gene disorders. Their diagnosis is challenging, and symptoms overlap with type 1 and type 2 diabetes.
AIM To identify the genetic variants responsible for MFD in the Pakistani population and their frequencies.
METHODS A total of 184 patients suspected of having MFD were enrolled. The inclusion criterion was diabetes with onset below 25 years of age. Brief demographic and clinical information were taken from the participants. The maturity-onset diabetes of the young (MODY) probability score was calculated, and glutamate decarboxylase ELISA was performed. Antibody negative patients and features resembling MODY were selected (n = 28) for exome sequencing to identify the pathogenic variants.
RESULTS A total of eight missense novel or very low-frequency variants were identified in 7 patients. Three variants were found in genes for MODY, i.e. HNF1A (c.169C>A, p.Leu57Met), KLF11 (c.401G>C, p.Gly134Ala), and HNF1B (c.1058C>T, p.Ser353Leu). Five variants were found in genes other than the 14 known MODY genes, i.e. RFX6 (c.919G>A, p.Glu307Lys), WFS1 (c.478G>A, p.Glu160Lys) and WFS1 (c.517G>A, p.Glu173Lys), RFX6 (c.1212T>A, p.His404Gln) and ZBTB20 (c.1049G>A, p.Arg350His).
CONCLUSION The study showed wide spectrum of genetic variants potentially causing MFD in the Pakistani population. The MODY genes prevalent in European population (GCK, HNF1A, and HNF4a) were not found to be common in our population. Identification of novel variants will further help to understand the role of different genes causing the pathogenicity in MODY patient and their proper management and diagnosis.
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Affiliation(s)
- Ibrar Rafique
- Department of Biological Sciences, International Islamic University, Islamabad 44000, Pakistan
- Departments of Pediatrics and Human Genetics, McGill University Health Centre Research Institute, Montreal H4A 3J1, Canada
- Research Development and Coordination, Pakistan Health Research Council, Islamabad 44000, Pakistan
| | - Asif Mir
- Department of Biological Sciences, International Islamic University, Islamabad 44000, Pakistan
| | - Shajee Siddiqui
- Department of Medicine, Pakistan Institute of Medical Sciences, Islamabad 44000, Pakistan, Pakistan
| | | | - Asher Fawwad
- Department of Biochemistry, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi 74600, Sindh, Pakistan
| | - Luc Marchand
- Departments of Pediatrics and Human Genetics, McGill University Health Centre Research Institute, Montreal H4A 3J1, Canada
| | - Muhammad Adnan
- PHRC Research Centre, FJMU, Pakistan Health Research Council, Lahore 54000, Pakistan
| | - Muhammad Naeem
- Department of Biotechnology, Quaid-I-Azam University, Islamabad 44000, Pakistan
| | - Abdul Basit
- Department of Medicine, Baqai Institute of Diabetology and Endocrinology, Baqai Medical University, Karachi 74600, Sindh, Pakistan
| | - Constantin Polychronakos
- Departments of Pediatrics and Human Genetics, McGill University Health Centre Research Institute, Montreal H4A 3J1, Canada
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Li M, Gong S, Han X, Zhang S, Ren Q, Cai X, Luo Y, Zhou L, Zhang R, Liu W, Zhu Y, Zhou X, Sun Y, Li Y, Ma Y, Ji L. Genetic variants of ABCC8 and phenotypic features in Chinese early onset diabetes. J Diabetes 2021; 13:542-553. [PMID: 33300273 DOI: 10.1111/1753-0407.13144] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 11/21/2020] [Accepted: 12/06/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND ABCC8 variants cause neonatal diabetes, maturity onset diabetes of the young (MODY), and hyperinsulinemic hypoglycemia because of activating or inactivating variants. In this study we used targeted exon sequencing to investigate genetic variants of ABCC8 and phenotypic features in Chinese patients with early onset diabetes (EOD). METHODS A cross-sectional study of 543 Chinese patients with EOD was recruited and the exons of them were conducted targeted sequencing. The pathogenicity of ABCC8 variants was defined according to the American College of Medical Genetics and Genomics and the Association for Molecular Pathology guideline. The phenotypes of patients owing to ABCC8 variants (ABCC8-MODY) were characterized. RESULTS Among the 543 participants, eight (1.5%) patients with ABCC8-MODY were identified. They harbored eight missense ABCC8 variants (p.R306C, p.E1326K, and p.R1379H, previously reported; p.R298C, p.F1176C, p.R1221W, p.K1358R, and p.I1404V) classified as likely pathogenic. Two family members with ABCC8-MODY were also confirmed. The average diagnosed age of the 10 patients was 26.8 ± 12.9 years. The majority of them had unsatisfactory glucose control, 80% of them had diabetic kidney disease, and neurological features were not observed. CONCLUSION Using targeted exon sequencing followed by pathogenicity analysis, we could be able to make genetic diagnoses for eight (1.5%) patients with ABCC8-MODY. The phenotype was variable with higher risk of diabetic microvascular complications. Genetic diagnosis is conducive for facilitating the personalized treatment of ABCC8-MODY.
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Affiliation(s)
- Meng Li
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Simin Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Qian Ren
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Lingli Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Wei Liu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yu Zhu
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yanfang Sun
- Department of Internal Medicine, Hebei Province Sanhe Hospital, Langfang, China
| | - Yufeng Li
- Department of Endocrinology and Metabolism, Capital Medical University Pinggu Hospital, Beijing, China
| | - Yumin Ma
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
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10
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Lee DH, Kwak SH, Park HS, Ku EJ, Jeon HJ, Oh TK. Identification of candidate gene variants of monogenic diabetes using targeted panel sequencing in early onset diabetes patients. BMJ Open Diabetes Res Care 2021; 9:9/1/e002217. [PMID: 34135026 PMCID: PMC8211067 DOI: 10.1136/bmjdrc-2021-002217] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 06/01/2021] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Monogenic diabetes is attributed to genetic variations in a single gene. Maturity-onset diabetes of the young (MODY) is the most common phenotype associated with monogenic diabetes, but is frequently misdiagnosed as either type 1 or type 2 diabetes. Increasing our basic understanding of genetic variations in MODY may help to improve the accuracy of providing the correct diagnosis and personalize subsequent treatment regimens in different racial populations. For this reason, this study was designed to identify nucleotide variants in early onset diabetes patients with clinically suspected MODY in a Korean population. RESEARCH DESIGN AND METHODS Among 2908 Korean patients diagnosed with diabetes, we selected 40 patients who were diagnosed before 30 years old and were clinically suspected of MODY. Genetic testing was performed using a targeted gene sequencing panel that included 30 known monogenic diabetes genes. The pathogenicity of the identified variants was assessed according to the American College of Medical Genetics and Genomics and Association for Molecular Pathology (ACMG-AMP) guidelines. RESULTS A total of six rare missense variants (p.Ala544Thr in HNF1A, p.Val601Ile and p.His103Tyr in ABCC8, p.Pro33Ala in PDX1, p.Gly18Glu in INS, and p.Arg164Gln in PAX4) in five distinct MODY genes were identified in five patients. In addition, a variant was identified in mitochondrial DNA at 3243A>G in one patient. The identified variants were either absent or detected at a rare frequency in the 1000 Genomes Project. These variants were classified as uncertain significance using the ACMG-AMP guidelines. CONCLUSION Using a targeted gene sequencing panel, we identified seven variants in either MODY genes or mitochondrial DNA using a Korean patient population with early onset diabetes who were clinically suspected of MODY. This genetic approach provides the ability to compare distinct populations of racial and ethnic groups to determine whether specific gene is involved in their diagnosis of MODY.
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Affiliation(s)
- Dong-Hwa Lee
- Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea (the Republic of)
| | - Soo-Heon Kwak
- Internal Medicine, Seoul National University Hospital, Jongno-gu, Korea (the Republic of)
| | - Hee Sue Park
- Laboratory Medicine, Chungbuk National University Hospital, Cheongju, Korea (the Republic of)
| | - Eu Jeong Ku
- Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea (the Republic of)
| | - Hyun Jeong Jeon
- Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea (the Republic of)
| | - Tae Keun Oh
- Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea (the Republic of)
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11
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Breidbart E, Deng L, Lanzano P, Fan X, Guo J, Leibel RL, LeDuc CA, Chung WK. Frequency and characterization of mutations in genes in a large cohort of patients referred to MODY registry. J Pediatr Endocrinol Metab 2021; 34:633-638. [PMID: 33852230 PMCID: PMC8970616 DOI: 10.1515/jpem-2020-0501] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 02/12/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES There have been few large-scale studies utilizing exome sequencing for genetically undiagnosed maturity onset diabetes of the young (MODY), a monogenic form of diabetes that is under-recognized. We describe a cohort of 160 individuals with suspected monogenic diabetes who were genetically assessed for mutations in genes known to cause MODY. METHODS We used a tiered testing approach focusing initially on GCK and HNF1A and then expanding to exome sequencing for those individuals without identified mutations in GCK or HNF1A. The average age of onset of hyperglycemia or diabetes diagnosis was 19 years (median 14 years) with an average HbA1C of 7.1%. RESULTS Sixty (37.5%) probands had heterozygous likely pathogenic/pathogenic variants in one of the MODY genes, 90% of which were in GCK or HNF1A. Less frequently, mutations were identified in PDX1, HNF4A, HNF1B, and KCNJ11. For those probands with available family members, 100% of the variants segregated with diabetes in the family. Cascade genetic testing in families identified 75 additional family members with a familial MODY mutation. CONCLUSIONS Our study is one of the largest and most ethnically diverse studies using exome sequencing to assess MODY genes. Tiered testing is an effective strategy to genetically diagnose atypical diabetes, and familial cascade genetic testing identified on average one additional family member with monogenic diabetes for each mutation identified in a proband.
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Affiliation(s)
- Emily Breidbart
- Department of Pediatrics, Division of Pediatric Endocrinology and Diabetes, NYU School of Medicine, NY, NY USA
| | - Liyong Deng
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Patricia Lanzano
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Xiao Fan
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Jiancheng Guo
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Rudolph L. Leibel
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Charles A. LeDuc
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
| | - Wendy K. Chung
- Department of Pediatrics, Division of Molecular Genetics Columbia University Medical Center, NY, NY USA
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12
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Kim JH, Lee Y, Choi Y, Kim GH, Yoo HW, Choi JH. Etiologic distribution and clinical characteristics of pediatric diabetes in 276 children and adolescents with diabetes at a single academic center. BMC Pediatr 2021; 21:108. [PMID: 33663443 PMCID: PMC7931559 DOI: 10.1186/s12887-021-02575-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 02/24/2021] [Indexed: 12/16/2022] Open
Abstract
Background The prevalence of monogenic diabetes is estimated to be 1.1–6.3% of patients with diabetes mellitus (DM) in Europe. The overlapping clinical features of various forms of diabetes make differential diagnosis challenging. Therefore, this study investigated the etiologic distribution and clinical characteristics of pediatric diabetes, including monogenic diabetes, who presented at a single tertiary center over the last 20 years. Methods This study included 276 consecutive patients with DM diagnosed before 18 years of age from January 2000 to December 2019 in Korea. Clinical features, biochemical findings, β-cell autoantibodies, and molecular characteristics were reviewed retrospectively. Results Of the 276 patients, 206 patients (74.6%), 49 patients (17.8%), and 21 patients (7.6%) were diagnosed with type 1 DM, type 2 DM, and clinically suspected monogenic diabetes, respectively. Among 21 patients suspected to have monogenic diabetes, 8 patients had clinical maturity-onset diabetes of the young (MODY), and the remaining 13 patients had other types of monogenic diabetes. Among them, genetic etiologies were identified in 14 patients (5.1%) from 13 families, which included MODY 5, transient neonatal DM, developmental delay, epilepsy, and neonatal diabetes (DEND) syndrome, Wolfram syndrome, Donohue syndrome, immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome, Fanconi-Bickel syndrome, Wolcott-Rallison syndrome, cystic fibrosis-related diabetes, and maternally inherited diabetes and deafness. Conclusions Genetically confirmed monogenic diabetes accounted for 5.1% of patients evaluated at a single tertiary center over 20-year period. Based on the findings for our sample, the frequency of mutations in the major genes of MODY appears to be low among pediatric patients in Korea. It is critical to identify the genetic cause of DM to provide appropriate therapeutic options and genetic counseling. Supplementary Information The online version contains supplementary material available at 10.1186/s12887-021-02575-6.
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Affiliation(s)
- Ja Hye Kim
- Department of Pediatrics, Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Yena Lee
- Department of Pediatrics, Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Yunha Choi
- Department of Pediatrics, Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Gu-Hwan Kim
- Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Han-Wook Yoo
- Department of Pediatrics, Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea
| | - Jin-Ho Choi
- Department of Pediatrics, Medical Genetics Center, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
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13
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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: 73] [Impact Index Per Article: 24.3] [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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14
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Aarthy R, Aston-Mourney K, Mikocka-Walus A, Radha V, Amutha A, Anjana RM, Unnikrishnan R, Mohan V. Clinical features, complications and treatment of rarer forms of maturity-onset diabetes of the young (MODY) - A review. J Diabetes Complications 2021; 35:107640. [PMID: 32763092 DOI: 10.1016/j.jdiacomp.2020.107640] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 05/21/2020] [Accepted: 05/21/2020] [Indexed: 12/15/2022]
Abstract
Maturity onset diabetes of the young (MODY) is the most common form of monogenic diabetes and is currently believed to have 14 subtypes. While much is known about the common subtypes of MODY (MODY-1, 2, 3 and 5) little is known about its rare subtypes (MODY4, 6-14). With the advent of next-generation sequencing (NGS) there are several reports of the rarer subtypes of MODY emerging from across the world. Therefore, a greater understanding on these rarer subtypes is needed. A search strategy was created, and common databases were searched, and 51 articles finally selected. INS-(MODY10) and ABCC8-(MODY12) mutations were reported in relatively large numbers compared to the other rare subtypes. The clinical characteristics of the rare MODY subtypes exhibited heterogeneity between families reported with the same mutation. Obesity and diabetic ketoacidosis (DKA) were also reported among rarer MODY subtypes which presents as a challenge as these are not part of the original description of MODY by Tattersal and Fajans. The treatment modalities of the rarer subtypes included oral drugs, predominantly sulfonylureas, insulin but also diet alone. Newer drugs like DPP-4 and SGLT2 inhibitors have also been tried as new modes of treatment. The microvascular and macrovascular complications among the patients with various MODY subtypes are less commonly reported. Recently, there is a view that not all the 14 forms of 'MODY' are true MODY and the very existence of some of these rarer subtypes as MODY has been questioned. This scoping review aims to report on the clinical characteristics, treatment and complications of the rarer MODY subtypes published in the literature.
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Affiliation(s)
- Ramasamy Aarthy
- School of Medicine, Deakin University, Australia; Madras Diabetes Research Foundation, Chennai, India
| | | | | | | | | | - Ranjit Mohan Anjana
- Dr Mohan's Diabetes Specialities Centre, Madras Diabetes Research Foundation, Chennai, India
| | - Ranjit Unnikrishnan
- Dr Mohan's Diabetes Specialities Centre, Madras Diabetes Research Foundation, Chennai, India
| | - Viswanathan Mohan
- Dr Mohan's Diabetes Specialities Centre, Madras Diabetes Research Foundation, Chennai, India.
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15
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Li M, Han X, Ji L. Clinical and Genetic Characteristics of ABCC8 Nonneonatal Diabetes Mellitus: A Systematic Review. J Diabetes Res 2021; 2021:9479268. [PMID: 34631896 PMCID: PMC8497126 DOI: 10.1155/2021/9479268] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES Diabetes mellitus (DM) is a major chronic metabolic disease in the world, and the prevalence has been increasing rapidly in recent years. The channel of KATP plays an important role in the regulation of insulin secretion. The variants in ABCC8 gene encoding the SUR1 subunit of KATP could cause a variety of phenotypes, including neonatal diabetes mellitus (ABCC8-NDM) and ABCC8-induced nonneonatal diabetes mellitus (ABCC8-NNDM). Since the features of ABCC8-NNDM have not been elucidated, this study is aimed at concluding the genetic features and clinical characteristics. METHODS We comprehensively reviewed the literature associated with ABCC8-NNDM in the following databases: MEDLINE, PubMed, and Web of Science to investigate the features of ABCC8-NNDM. RESULTS Based on a comprehensive literature search, we found that 87 probands with ABCC8-NNDM carried 71 ABCC8 genetic variant alleles, 24% of whom carried inactivating variants, 24% carried activating variants, and the remaining 52% carried activating or inactivating variants. Nine of these variants were confirmed to be activating or inactivating through functional studies, while four variants (p.R370S, p.E1506K, p.R1418H, and p.R1420H) were confirmed to be inactivating. The phenotypes of ABCC8-NNDM were variable and could also present with early hyperinsulinemia followed by reduced insulin secretion, progressing to diabetes later. They had a relatively high risk of microvascular complications and low prevalence of nervous disease, which is different from ABCC8-NDM. CONCLUSIONS Genetic testing is essential for proper diagnosis and appropriate treatment for patients with ABCC8-NNDM. And further studies are required to determine the complex mechanism of the variants of ABCC8-NNDM.
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Affiliation(s)
- Meng Li
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China 100044
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China 100044
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China 100044
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16
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Balboa D, Iworima DG, Kieffer TJ. Human Pluripotent Stem Cells to Model Islet Defects in Diabetes. Front Endocrinol (Lausanne) 2021; 12:642152. [PMID: 33828531 PMCID: PMC8020750 DOI: 10.3389/fendo.2021.642152] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/03/2021] [Indexed: 12/17/2022] Open
Abstract
Diabetes mellitus is characterized by elevated levels of blood glucose and is ultimately caused by insufficient insulin production from pancreatic beta cells. Different research models have been utilized to unravel the molecular mechanisms leading to the onset of diabetes. The generation of pancreatic endocrine cells from human pluripotent stem cells constitutes an approach to study genetic defects leading to impaired beta cell development and function. Here, we review the recent progress in generating and characterizing functional stem cell-derived beta cells. We summarize the diabetes disease modeling possibilities that stem cells offer and the challenges that lie ahead to further improve these models.
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Affiliation(s)
- Diego Balboa
- Regulatory Genomics and Diabetes, Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain
- *Correspondence: Diego Balboa,
| | - Diepiriye G. Iworima
- Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| | - Timothy J. Kieffer
- Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
- Department of Surgery, University of British Columbia, Vancouver, BC, Canada
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17
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Hosoe J, Miya F, Kadowaki H, Fujiwara T, Suzuki K, Kato T, Waki H, Sasako T, Aizu K, Yamamura N, Sasaki F, Kurano M, Hara K, Tanaka M, Ishiura H, Tsuji S, Honda K, Yoshimura J, Morishita S, Matsuzawa F, Aikawa SI, Boroevich KA, Nangaku M, Okada Y, Tsunoda T, Shojima N, Yamauchi T, Kadowaki T. Clinical usefulness of multigene screening with phenotype-driven bioinformatics analysis for the diagnosis of patients with monogenic diabetes or severe insulin resistance. Diabetes Res Clin Pract 2020; 169:108461. [PMID: 32971154 DOI: 10.1016/j.diabres.2020.108461] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/29/2020] [Accepted: 09/16/2020] [Indexed: 11/29/2022]
Abstract
AIMS Monogenic diabetes is clinically heterogeneous and differs from common forms of diabetes (type 1 and 2). We aimed to investigate the clinical usefulness of a comprehensive genetic testing system, comprised of targeted next-generation sequencing (NGS) with phenotype-driven bioinformatics analysis in patients with monogenic diabetes, which uses patient genotypic and phenotypic data to prioritize potentially causal variants. METHODS We performed targeted NGS of 383 genes associated with monogenic diabetes or common forms of diabetes in 13 Japanese patients with suspected (n = 10) or previously diagnosed (n = 3) monogenic diabetes or severe insulin resistance. We performed in silico structural analysis and phenotype-driven bioinformatics analysis of candidate variants from NGS data. RESULTS Among the patients suspected having monogenic diabetes or insulin resistance, we diagnosed 3 patients as subtypes of monogenic diabetes due to disease-associated variants of INSR, LMNA, and HNF1B. Additionally, in 3 other patients, we detected rare variants with potential phenotypic effects. Notably, we identified a novel missense variant in TBC1D4 and an MC4R variant, which together may cause a mixed phenotype of severe insulin resistance. CONCLUSIONS This comprehensive approach could assist in the early diagnosis of patients with monogenic diabetes and facilitate the provision of tailored therapy.
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Affiliation(s)
- Jun Hosoe
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Fuyuki Miya
- Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; CREST, JST, Tokyo, Japan
| | | | - Toyofumi Fujiwara
- Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba, Japan
| | - Ken Suzuki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Takashi Kato
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hironori Waki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takayoshi Sasako
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsuya Aizu
- Division of Endocrinology and Metabolism, Saitama Children's Medical Center, Saitama, Japan
| | - Natsumi Yamamura
- Department of Pediatric Nephrology and Metabolism, Osaka Medical Center and Research Institute for Maternal and Child Health, Izumi, Japan
| | - Fusako Sasaki
- Department of Pediatrics, School of Medicine, Fukuoka University, Fukuoka, Japan
| | - Makoto Kurano
- Department of Clinical Laboratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuo Hara
- Department of Endocrinology and Metabolism, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Masaki Tanaka
- Institute of Medical Genomics, International University of Health and Welfare, Chiba, Japan
| | - Hiroyuki Ishiura
- Department of Neurology, The University of Tokyo Hospital, Tokyo, Japan
| | - Shoji Tsuji
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenjiro Honda
- Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Jun Yoshimura
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Shinichi Morishita
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | | | | | - Keith A Boroevich
- Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Tatsuhiko Tsunoda
- Department of Medical Science Mathematics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan; Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; CREST, JST, Tokyo, Japan; Laboratory for Medical Science Mathematics, Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Nobuhiro Shojima
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Toranomon Hospital, Tokyo, Japan.
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18
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Abstract
Monogenic diabetes, including maturity-onset diabetes of the young, neonatal diabetes, and other rare forms of diabetes, results from a single gene mutation. It has been estimated to represent around 1% to 6% of all diabetes. With the advances in genome sequencing technology, it is possible to diagnose more monogenic diabetes cases than ever before. In Korea, 11 studies have identified several monogenic diabetes cases, using Sanger sequencing and whole exome sequencing since 2001. The recent largest study, using targeted exome panel sequencing, found a molecular diagnosis rate of 21.1% for monogenic diabetes in clinically suspected patients. Mutations in glucokinase (GCK), hepatocyte nuclear factor 1α (HNF1A), and HNF4A were most commonly found. Genetic diagnosis of monogenic diabetes is important as it determines the therapeutic approach required for patients and helps to identify affected family members. However, there are still many challenges, which include a lack of simple clinical criterion for selecting patients for genetic testing, difficulties in interpreting the genetic test results, and high costs for genetic testing. In this review, we will discuss the latest updates on monogenic diabetes in Korea, and suggest an algorithm to screen patients for genetic testing. The genetic tests and non-genetic markers for accurate diagnosis of monogenic diabetes will be also reviewed.
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Affiliation(s)
- Ye Seul Yang
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University College of Medicine, Seoul, Korea
- Corresponding author: Kyong Soo Park Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Korea E-mail:
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Tatsi EB, Kanaka-Gantenbein C, Scorilas A, Chrousos GP, Sertedaki A. Next generation sequencing targeted gene panel in Greek MODY patients increases diagnostic accuracy. Pediatr Diabetes 2020; 21:28-39. [PMID: 31604004 DOI: 10.1111/pedi.12931] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 09/02/2019] [Accepted: 10/04/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Maturity Onset Diabetes of the Young (MODY) constitutes a genetically and clinically heterogeneous type of monogenic diabetes. It is characterized by early onset, autosomal dominant inheritance and a defect in pancreatic β-cell insulin secretion. To date, various MODY subtypes have been reported, each one of a distinct genetic etiology. OBJECTIVE The aim of this study was to identify the molecular defects of 50 patients with MODY employing the methodology of next generation sequencing (NGS) targeted gene panel. METHODS A panel of seven MODY genes was designed and employed to screen 50 patients fulfilling the MODY diagnostic criteria. Patients with no pathogenic, likely pathogenic or uncertain significance variants detected, were further tested by multiplex ligation-dependent probe amplification (MLPA) for copy number variations (CNVs). RESULTS Eight different pathogenic or likely pathogenic variants were identified in eight MODY patients (diagnostic rate 16%). Five variants of uncertain significance were also detected in seven MODY patients. Five novel pathogenic and likely pathogenic variants were detected in the genes GCK; p.Cys371X, HNF1A; p.Asn402Tyr, HNF4A; p.Glu285Lys, and ABCC8; p.Met1514Thr and p.Ser1386Phe. Two de novo heterozygous deletions of the entire HNF1B gene were detected in two patients, raising the diagnostic rate to 20%. CONCLUSIONS Although many MODY patients still remain without exact MODY type identification, the application of NGS methodology provided rapid results, increased diagnostic accuracy, and was cost-effective compared to Sanger sequencing. Accurate genetic diagnosis of the MODY subtype is important for treatment selection, disease prognosis, and family counseling.
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Affiliation(s)
- Elizabeth B Tatsi
- Division of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece
| | - Christina Kanaka-Gantenbein
- Division of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - George P Chrousos
- Division of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece
| | - Amalia Sertedaki
- Division of Endocrinology, Diabetes and Metabolism, First Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, Athens, Greece
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20
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Li J, Sun S, Wang X, Li Y, Zhu H, Zhang H, Deng A. A Missense Mutation in IRS1 is Associated with the Development of Early-Onset Type 2 Diabetes. Int J Endocrinol 2020; 2020:9569126. [PMID: 32411229 PMCID: PMC7204210 DOI: 10.1155/2020/9569126] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 11/14/2019] [Accepted: 11/23/2019] [Indexed: 12/18/2022] Open
Abstract
There could be an overlap of monogenic diabetes and early-onset type 2 diabetes mellitus. Precise diagnosis of early-onset diabetes has proven valuable for understanding the mechanism of diabetes and selecting optimal therapy. The majority of maturity onset diabetes of the young (MODY) pathogenic genes in China is still unknown. In this study, a family with suspected MODY was enrolled. Whole-exome sequencing (WES) was used to analyze the variants of the proband. Variants were filtered according to their frequency, location, functional consequences, and bioinformatics software. Candidate pathogenic variants were validated by Sanger sequencing and tested for cosegregation in other members of the family and nonrelated healthy controls. KEGG (Kyoto Encyclopedia of Genes and Genomes) and PPI (protein-protein interaction) analysis were conducted using the DAVID (Database for Annotation, Visualization, and Integrated Discovery) and the STRING online analysis tools for the candidate pathogenic gene. A total of 123291 variants including 105344 SNPs and 17947 InDels were found in WES. A likely pathogenic rare missense heterozygous mutation in diabetes genes (c.2137C > T, p.His713Tyr in IRS1) was identified, which was a cosegregate in this family and not in nonrelated healthy controls. The position of the mutation in the aminoacid sequence of the gene is highly conserved among the species. 2 significantly enriched KEGG pathways were identified including bta04930, type II diabetes mellitus (GCK, INS, PDX1, ABCC8, and IRS1), and bta04910, insulin signaling pathway (GCK, INS, and IRS1). PPI analysis displayed that IRS1 interacts with 3 known pathogenic proteins including INS, KCNJ11, and GCK. We conclude that WES could be an initial option for genetic testing in patients with early-onset diabetes. IRS1 p.His713Tyr is implicated as a possible pathogenic mutation in monogenic diabetes, which might require further validation, and the precise molecular mechanism underlying the influence of IRS1 p.His713Tyr on the development of diabetes remains to be determined in the further prospective studies.
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Affiliation(s)
- Juyi Li
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Shan Sun
- Department of General Practice, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Xiufang Wang
- Department of Pain, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Yarong Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Hong Zhu
- Department of General Practice, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Hongmei Zhang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
| | - Aiping Deng
- Department of Pharmacy, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, No. 21 Shengli Road, 430021 Wuhan, Hubei, China
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Mahajan MC, McLellan AS. Whole-Exome Sequencing (WES) for Illumina Short Read Sequencers Using Solution-Based Capture. Methods Mol Biol 2019; 2076:85-108. [PMID: 31586323 DOI: 10.1007/978-1-4939-9882-1_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Next-generation sequencing (NGS) is transforming clinical research and diagnostics, vastly enhancing our ability to identify novel disease-causing genetic mutations and perform comprehensive diagnostic testing in the clinic. Whole-exome sequencing (WES) is a commonly used method which captures the majority of coding regions of the genome for sequencing, as these regions contain the majority of disease-causing mutations. The clinical applications of WES are not limited to diagnosis; the technique can be employed to help determine an optimal therapeutic strategy for a patient considering their mutation profile. WES may also be used to predict a patient's risk of developing a disease, e.g., type 2 diabetes (T2D), and can therefore be used to tailor advice for the patient about lifestyle choices that could mitigate those risks. Thus, genome sequencing strategies, such as WES, underpin the emerging field of personalized medicine. Initiatives also exist for sharing WES data in public repositories, e.g., the Exome Aggregation Consortium (ExAC) database. In time, by mining these valuable data resources, we will acquire a better understanding of the roles of both single rare mutations and specific combinations of common mutations (mutation signatures) in the pathology of complex diseases such as diabetes.Herein, we describe a protocol for performing WES on genomic DNA extracted from blood or saliva. Starting with gDNA extraction, we document preparation of a library for sequencing on Illumina instruments and the enrichment of the protein-coding regions from the library using the Roche NimbleGen SeqCap EZ Exome v3 kit; a solution-based capture method. We include details of how to efficiently purify the products of each step using the AMPure XP System and describe how to use qPCR to test the efficiency of capture, and thus determine finished library quality.
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Yu H, Liu J, Li X, Miao F, Yang Y. Identification of a novel mutation site in maturity‑onset diabetes of the young in a Chinese family by whole‑exome sequencing. Mol Med Rep 2019; 20:2373-2380. [PMID: 31322178 PMCID: PMC6691236 DOI: 10.3892/mmr.2019.10464] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 05/20/2019] [Indexed: 12/27/2022] Open
Abstract
The aim of the present study was to determine the mutant genes and mutation sites in a family with maturity-onset diabetes of the young (MODY), in order to provide evidence for the diagnosis and treatment of clinical MODY. Based on the clinical characteristics of MODY, one family was selected from the Department of Endocrinology of Shanxi Provincial People's Hospital (Shanxi, China). The family comprised seven individuals, four of which were healthy (without MODY), and the whole exome of the individual with MODY, her father and her mother were sequenced. A suspected case (patient's uncle) and a healthy individual (patient's aunt) were sequenced for verification. The Q30 ratio was >90% in the family of three and the sequencing quality was good. The alignment rate was >95%, while the repeat sequence was <10%, with a mean sequencing depth of >120×, which is sufficient to identify mutations. According to Mutation Taster and LRT, it was predicted that the p.leu73Pro mutation of the pancreatic and duodenal homeobox 1 (PDX1) gene was deleterious. The mutation was verified by next-generation sequencing as the pathogenic site in this family. In conclusion, a novel mutation site of MODY type 4 in the PDX1 gene was identified in a family with MODY, which may provide a basis for its clinical treatment. Whole-exome sequencing appears to be of assistance in accurately diagnosing MODY.
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Affiliation(s)
- Han Yu
- Endocrinology Department, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030012, P.R. China
| | - Jingjin Liu
- Endocrinology Department, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030012, P.R. China
| | - Xiaofei Li
- Endocrinology Department, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030012, P.R. China
| | - Fang Miao
- Endocrinology Department, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030012, P.R. China
| | - Yanlan Yang
- Endocrinology Department, Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030012, P.R. China
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Abstract
In addition to the common types of diabetes mellitus, two major monogenic diabetes forms exist. Maturity-onset diabetes of the young (MODY) represents a heterogenous group of monogenic, autosomal dominant diseases. MODY accounts for 1-2% of all diabetes cases, and it is not just underdiagnosed but often misdiagnosed to type 1 or type 2 diabetes. More than a dozen MODY genes have been identified to date, and their molecular classification is of great importance in the correct treatment decision and in the judgment of the prognosis. The most prevalent subtypes are HNF1A, GCK, and HNF4A. Genetic testing for MODY has changed recently due to the technological advancements, as contrary to the sequential testing performed in the past, nowadays all MODY genes can be tested simultaneously by next-generation sequencing. The other major group of monogenic diabetes is neonatal diabetes mellitus which can be transient or permanent, and often the diabetes is a part of a syndrome. It is a severe monogenic disease appearing in the first 6 months of life. The hyperglycemia usually requires insulin. There are two forms, permanent neonatal diabetes mellitus (PNDM) and transient neonatal diabetes mellitus (TNDM). In TNDM, the diabetes usually reverts within several months but might relapse later in life. The incidence of NDM is 1:100,000-1:400,000 live births, and PNDM accounts for half of the cases. Most commonly, neonatal diabetes is caused by mutations in KCNJ11 and ABCC8 genes encoding the ATP-dependent potassium channel of the β cell. Neonatal diabetes has experienced a quick and successful transition into the clinical practice since the discovery of the molecular background. In case of both genetic diabetes groups, recent guidelines recommend genetic testing.
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Affiliation(s)
- Zsolt Gaál
- 4th Department of Medicine, Jósa András Teaching Hospital, Nyíregyháza, Hungary
| | - István Balogh
- Division of Clinical Genetics, Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
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Wang Y, Zhang J, Zhao Y, Wang S, Zhang J, Han Q, Zhang R, Guo R, Li H, Li L, Wang T, Tang X, He C, Teng G, Gu W, Liu F. COL4A3 Gene Variants and Diabetic Kidney Disease in MODY. Clin J Am Soc Nephrol 2018; 13:1162-1171. [PMID: 30012629 PMCID: PMC6086715 DOI: 10.2215/cjn.09100817] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Accepted: 04/27/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Despite advances in identifying genetic factors of diabetic kidney disease (DKD), much of the heritability remains unexplained. Nine maturity-onset diabetes in young (MODY) probands with kidney biopsy-proven DKD were selected and included in this study. The probands had more severe DKD compared with their parents with MODY, with overt proteinuria or rapid progression to ESKD. We aimed to explore the contribution of the variants in susceptibility genes of DKD to the severity of kidney phenotype between the probands and their parents. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Whole-exome sequencing was performed to identify suspected MODY probands and their families. Known DKD susceptibility genes were reviewed. Variants reported to be associated with DKD, or those with minor allele frequency <0.05 and predicted to be pathogenic, were selected and analyzed. Immunofluorescence staining of COL4α3 was performed in kidney specimens of patients with DKD with or without R408H and M1209I of COL4A3 variants. RESULTS HNF1B-MODY, CEL-MODY, PAX4-MODY, and WFS1-MODY were diagnosed among nine families. We identified 196 selected variants of 25 DKD susceptibility genes among the participants. Analysis of phenotype between probands and parents, gene function, and protein-protein interaction networks revealed that COL4A3 variants were involved in the progression of DKD. Weak granular staining of COL4α3 was observed in the glomerular basement membrane of patients with the R408H and M1209I variants, whereas strong consecutive staining was observed in patients without these variants. Moreover, more number of DKD variants were identified in probands than in their parents with MODY. CONCLUSIONS The genetic effect of more pathogenic variants in various DKD susceptibility genes, especially variants in the COL4A3 gene, partially explained the more severe kidney phenotype in probands with kidney biopsy-proven DKD.
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Affiliation(s)
- Yiting Wang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Junlin Zhang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yingwang Zhao
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Shanshan Wang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Jie Zhang
- Key Laboratory of Transplant Engineering and Immunology, Ministry of Health, Regenerative Medicine Research Center, Chengdu, China
| | - Qianqian Han
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Rui Zhang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Ruikun Guo
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hanyu Li
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Li Li
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Tingli Wang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xi Tang
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | | | - Geer Teng
- Institute of Social Development and Western China Development Studies, Sichuan University, Chengdu, Sichuan, China; and
| | - Weiyue Gu
- Joy Orient Translational Medicine Research Center Co., Ltd., Beijing, China
| | - Fang Liu
- Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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Owen KR. Monogenic diabetes in adults: what are the new developments? Curr Opin Genet Dev 2018; 50:103-110. [DOI: 10.1016/j.gde.2018.04.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 04/16/2018] [Accepted: 04/19/2018] [Indexed: 12/13/2022]
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Kulanuwat S, Tangjittipokin W, Jungtrakoon P, Chanprasert C, Sujjitjoon J, Binnima N, Yenchitsomanus PT, Plengvidhya N. DNAJC3 mutation in Thai familial type 2 diabetes mellitus. Int J Mol Med 2018; 42:1064-1073. [PMID: 29767246 DOI: 10.3892/ijmm.2018.3678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 05/08/2018] [Indexed: 11/05/2022] Open
Abstract
Type 2 diabetes mellitus (T2D) is a heterogeneous disease, with certain cases presenting an autosomal dominant type. The rare coding variants of disease‑causing genes in T2D remain mostly unclear. The present study aimed to identify the disease‑causing gene conducting whole exome sequencing in a Thai T2D family with an autosomal dominant transmission of T2D with no evidence of mutations in known maturity‑onset diabetes of the young (MODY) genes. Candidate variants were selected according to certain criteria of mutation prediction programs, followed by segregation analysis with diabetes in the family. The results demonstrated that, of the 68,817 variants obtained, 122 were considered as candidate variants subsequent to the filtering processes. Genotyping of these variants revealed that DnaJ homolog subfamily C member 3 (DNAJC3) p.H238N segregated with diabetes in the family. This mutation was also identified in another proband from the autosomal dominant T2D family without mutation in known MODY genes and was segregated with diabetes. This variant was also identified in 14/1,000 older‑onset T2D patients [minor allele frequency (MAF)=0.007], 2/500 non‑diabetic controls (MAF=0.002) and 3 prediabetic individuals who were previously classified as non‑diabetic controls. In silico mutagenesis and protein modeling of p.H238N revealed changes of the polar contacts across the tetratricopeptide repeat (TPR) motif and TPR subdomains, which may affect the protein tertiary structure. Furthermore, the expression of DNAJC3 H238N protein was 0.68±0.08 fold (P<0.05) lower when compared with that of the wild‑type, possibly due to protein instability. Thus, DNAJC3 p.H238N is likely to be a variant causing diabetes.
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Affiliation(s)
- Sirikul Kulanuwat
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Watip Tangjittipokin
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Prapaporn Jungtrakoon
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chutima Chanprasert
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Jatuporn Sujjitjoon
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Ninareeman Binnima
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pa-Thai Yenchitsomanus
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Nattachet Plengvidhya
- Siriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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Abstract
Adult-onset, or type II diabetes mellitus (T2DM) has a complex genetic architecture, from hundreds of genes with low penetrance, common susceptibility variants (e.g., TCF7L2), to a set of more than ten genes that, when mutated, can cause a single-gene or Mendelian form of T2DM (e.g., GCK). It is a clinical challenge to identify patients with the uncommon (2-3%) form of T2DM, typically classified as maturity-onset diabetes of the young (MODY). Bansal et al. (BMC Med 15:213, 2017) used a gene panel test approach to test patients with diabetes for single-gene causes of MODY. They found that nearly 2% of younger patients had pathogenic variants in one of seven genes. These data confirm prior studies showing that Mendelian or single-gene MODY can masquerade as garden variety T2DM. The implications of these results for wider general medicine and the future implementation of clinical genome sequencing are discussed.Please see related article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-017-0977-3.
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Prudente S, Ludovico O, Trischitta V. Familial diabetes of adulthood: A bin of ignorance that needs to be addressed. Nutr Metab Cardiovasc Dis 2017; 27:1053-1059. [PMID: 29174219 DOI: 10.1016/j.numecd.2017.10.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/29/2017] [Accepted: 10/15/2017] [Indexed: 01/15/2023]
Abstract
AIMS The aim of this article was to share with a wide readership some data and related reasoning about a multigenerational form of diabetes mellitus of adulthood. DATA SYNTHESIS We have recently described a familial form of diabetes mellitus, which in the routine clinical setting of adult individuals is simplistically diagnosed as type 2 diabetes. Such misdiagnosis involves as much as 3% of adult unrelated diabetic patients with no evidence of autoimmune disease. More recent data, obtained by means of a next-generation sequencing, indicate that approximately 25% of such patients carry mutations in the genes involved in monogenic diabetes, thus leaving unraveled the molecular causes of the remaining 75% individuals. CONCLUSIONS Our proposal is to define the latter patients as being affected by familial diabetes of adulthood (FDA), a clear admission of ignorance and a limbo where adult patients with multigenerational diabetes with no genetic definition of their hyperglycemia have to wait for better times.
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Affiliation(s)
- S Prudente
- Research Unit of Metabolic and Cardiovascular Diseases, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.
| | - O Ludovico
- Department of Medical Sciences, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - V Trischitta
- Research Unit of Metabolic and Cardiovascular Diseases, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy; Department of Experimental Medicine, Sapienza University, Rome, Italy
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Szabo M, Máté B, Csép K, Benedek T. Genetic Approaches to the Study of Gene Variants and Their Impact on the Pathophysiology of Type 2 Diabetes. Biochem Genet 2017; 56:22-55. [DOI: 10.1007/s10528-017-9827-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 10/06/2017] [Indexed: 12/18/2022]
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