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Wan W, Staab EM, Li J, GoodSmith M, Campbell A, Schaefer CT, Quinn MT, Huang ES, Baig AA. Costs and Health Care Utilization Analysis of Medical Group Visits for Adults With Type 2 Diabetes in Community Health Centers. Med Care 2023; 61:866-871. [PMID: 37819210 PMCID: PMC10840964 DOI: 10.1097/mlr.0000000000001937] [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] [Indexed: 10/13/2023]
Abstract
OBJECTIVE We evaluated the economic impact of group visits (GVs) in adults with uncontrolled diabetes in community health centers (CHCs) in the United States. RESEARCH DESIGN AND METHODS In this prospective controlled trial, we implemented 6 monthly GV sessions in 5 CHCs and compared intervention patients (n=49) to control patients (n=72) receiving usual care within the same CHCs. We conducted patient chart reviews to obtain health care utilization data for the prior 6 months at baseline, 6 months (during the GV implementation), and 12 months (after the implementation). We also collected monthly logs of CHC expenses and staff time spent on activities related to GVs. Per-patient total costs included CHCs' expenses and costs associated with staff time and patients' health care use. For group comparison, we used the Wilcoxon rank-sum test and the bootstrapping method that was to bootstrap generalized estimating equation models. RESULTS The GV group had fewer 6-month hospitalizations (mean: GV: 0.06 vs. control: 0.24, rate: 6.1% vs. 19.4%) ( P ≤ 0.04) and similar emergency department visits at 12 months than the control group. Implementing GV incurred $1770 per-patient. The intervention cost $1597 more than the control at 6 months ($3021 vs. $1424) but saved $1855 at 12 months ($857 vs. $2712) ( P =0.002). CONCLUSIONS The diabetes GV care model reduced hospitalizations and had cost savings at 12 months, while it improved patients' diabetes-related quality of life and glucose control. Future studies should assess its lifetime cost-effectiveness through a randomized controlled trial.
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Affiliation(s)
- Wen Wan
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Erin M. Staab
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Jefferine Li
- University of Michigan Medical School, Ann Arbor, MI
| | - Matthew GoodSmith
- Internal Medicine-Pediatrics Residency Program, Departments of Medicine, University of Chicago, Chicago, IL
| | | | | | - Michael T. Quinn
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Elbert S. Huang
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
| | - Arshiya A. Baig
- Section of General Internal Medicine, Department of Medicine, University of Chicago, Chicago, IL
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Kovács G, Nagy D, Szilberhorn L, Zelei T, Gaál Z, Vellekoop H, Huygens S, Versteegh M, Mölken MRV, Koleva-Kolarova R, Tsiachristas A, Wordsworth S, Nagy B. Cost-effectiveness of genetic-based screening strategies for maturity-onset diabetes of the young. Per Med 2023; 20:375-385. [PMID: 37694384 DOI: 10.2217/pme-2023-0023] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Maturity-onset diabetes of the young (MODY) is often misdiagnosed as Type I or II diabetes. This study was designed to assess the cost-effectiveness of MODY screening strategies in Hungary, which included a recent genetic test compared with no routine screening for MODY. A simulation model that combined a decision tree and an individual-level Markov model was constructed to assess the costs per quality-adjusted life year of screening strategies. Stratifying patients based on age and insulin treatment followed by a risk assessment questionnaire, a laboratory test and genetic testing was the most cost-effective strategy, saving EUR 12 and generating 0.0047 quality-adjusted life years gained per screened patient. This screening strategy could be considered for reimbursement, especially in countries with limited resources.
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Affiliation(s)
- Gábor Kovács
- Syreon Research Institute, Budapest, 1142, Hungary
| | - Dávid Nagy
- Syreon Research Institute, Budapest, 1142, Hungary
| | | | - Tamás Zelei
- Syreon Research Institute, Budapest, 1142, Hungary
| | - Zsolt Gaál
- Fourth Department of Medicine, Jósa András Teaching Hospital, Nyíregyháza, 4400, Hungary
| | - Heleen Vellekoop
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Simone Huygens
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Matthijs Versteegh
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Maureen Rutten-van Mölken
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, P.O. Box 17383000 DR, Rotterdam, The Netherlands
| | | | | | - Sarah Wordsworth
- Health Economics Research Centre, University of Oxford, Oxford, OX3 7LF, UK
| | - Balázs Nagy
- Syreon Research Institute, Budapest, 1142, Hungary
- Center for Health Technology Assessment, Semmelweis University, Budapest, 1091, Hungary
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Amaral Duarte F, Aguiar Junior PN, Dienstmann R, Ferreira CG. Precision medicine in Thoracic Oncology: understanding disparities to tackle inequities in access. Expert Rev Pharmacoecon Outcomes Res 2023; 23:981-987. [PMID: 37750550 DOI: 10.1080/14737167.2023.2260563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/12/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION Precision medicine is defined as personalized interventions fitted to patients' or tumors' characteristics. Patients diagnosed with different neoplasms have benefited from a personalized therapeutic approach in terms of response and survival. However, several challenges must be addressed for precision oncology to become a global reality. Access to genomic testing that allows biomarker identification is a main issue. AREAS COVERED A nonsystematic literature review about inequities in access to molecular genetic testing, focusing on lung cancer as the prominent example, was performed by a group of expert clinical oncologists. EXPERT OPINION Access to molecular tests and their matched treatments differ between regions of the world and even among diverse populations in the same country. Socioeconomic characteristics are often strongly correlated with this disparity. Furthermore, although the cost is a determinant factor for inequality, other issues have been recognized. Advances in the education of healthcare professionals, patient advocacy initiatives, building local laboratory workstreams, and promoting favorable regulatory environment are vital factors in promoting equal access.
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Affiliation(s)
| | - Pedro Nazareth Aguiar Junior
- Department of Clinical Oncology, Grupo Oncoclínicas, São Paulo, SP, Brazil
- Department of Clinical Oncology, Faculdade de Medicina do ABC, Santo André, SP, Brazil
| | - Rodrigo Dienstmann
- Department of Clinical Oncology, Grupo Oncoclínicas, São Paulo, SP, Brazil
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Noohi F, Sundaresan MS, Naylor RN, Ross LF. Diagnosis, treatment and disclosure: A qualitative exploration of participant challenges in a Monogenic Diabetes Registry. Genet Med 2023; 25:100019. [PMID: 36681871 PMCID: PMC10620612 DOI: 10.1016/j.gim.2023.100019] [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: 08/18/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Maturity-onset diabetes of the young (MODY) represents a heterogenous group of monogenic diabetes. Despite its autosomal dominant inheritance, many MODY participants in the University of Chicago Monogenic Diabetes Registry have no family members enrolled. We aimed to gather data on the Registry participants' experiences in (1) receipt of an accurate diagnosis, (2) decisions regarding disclosure of their MODY genetic test results with biological relatives, and (3) recommendations toward our Registry's processes and outreach. METHODS We conducted 20 one-on-one semistructured interviews with adult Registry participants. RESULTS All participants found navigating the health care system challenging because of the providers' unfamiliarity with MODY and dismissal of its importance post diagnosis. All had shared their results with at least 1 relative, however many found their relatives resistant to engaging with their providers. Participants wanted to receive targeted information on their condition and connect with other participants who have faced similar diagnostic and treatment challenges. CONCLUSION Our results demonstrate that our probands faced resistance to reclassification of their diabetes from both health care providers and relatives. In an effort to improve cascade testing, the Registry is designing a portal to facilitate participant-research team communication and provide additional supports for participants to involve family members in testing.
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Affiliation(s)
- Forough Noohi
- Department of Medicine, The University of Chicago, Chicago, IL.
| | | | - Rochelle N Naylor
- Department of Medicine, The University of Chicago, Chicago, IL; Department of Pediatrics, The University of Chicago, Chicago, IL
| | - Lainie Friedman Ross
- Department of Medicine, The University of Chicago, Chicago, IL; Department of Pediatrics, The University of Chicago, Chicago, IL
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Abstract
Monogenic diabetes includes several clinical conditions generally characterized by early-onset diabetes, such as neonatal diabetes, maturity-onset diabetes of the young (MODY) and various diabetes-associated syndromes. However, patients with apparent type 2 diabetes mellitus may actually have monogenic diabetes. Indeed, the same monogenic diabetes gene can contribute to different forms of diabetes with early or late onset, depending on the functional impact of the variant, and the same pathogenic variant can produce variable diabetes phenotypes, even in the same family. Monogenic diabetes is mostly caused by impaired function or development of pancreatic islets, with defective insulin secretion in the absence of obesity. The most prevalent form of monogenic diabetes is MODY, which may account for 0.5-5% of patients diagnosed with non-autoimmune diabetes but is probably underdiagnosed owing to insufficient genetic testing. Most patients with neonatal diabetes or MODY have autosomal dominant diabetes. More than 40 subtypes of monogenic diabetes have been identified to date, the most prevalent being deficiencies of GCK and HNF1A. Precision medicine approaches (including specific treatments for hyperglycaemia, monitoring associated extra-pancreatic phenotypes and/or following up clinical trajectories, especially during pregnancy) are available for some forms of monogenic diabetes (including GCK- and HNF1A-diabetes) and increase patients' quality of life. Next-generation sequencing has made genetic diagnosis affordable, enabling effective genomic medicine in monogenic diabetes.
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Liu J, Fu J, Xie Z, Ding L, Wang D, Yu M, Zhang Q, Xie T, Xiao X. Serum metabolomics identified metabolite biomarkers and distinguished maturity-onset diabetes of the young from type 1 diabetes in the Chinese population. Clin Chim Acta 2023; 539:250-258. [PMID: 36584766 DOI: 10.1016/j.cca.2022.12.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/17/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Maturity-onset diabetes of the young (MODY) patients have unique clinical manifestations and need individualized treatments. We identified novel serum metabolic biomarkers to distinguish MODY and explore the possible mechanism of the clinical manifestation and complications of MODY. METHODS Fasting serum samples were collected from MODY3 (n = 17), MODY2 (n = 33), type 1 diabetes (T1DM) (n = 34) and healthy individuals (n = 30), and were analyzed using the ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) metabolomic platform. RESULTS 4 metabolites were found significantly fluctuated between groups, including glycerophosphocholine, LysoPC(18:2(9Z,12Z)), sphinganine and l-Phenylalanine. Glycerophosphocholine was selected as a diagnostic biomarker. The the area under the ROC curve (AUC) for distinguishing MODYs from healthy controls and differentiating MODY3 from T1DM reached 1.0. The combination of metabolites also gained good diagnostic value. The AUC of the combination of LysoPC(18:2(9Z,12Z)), sphinganine and l-Phenylalanine for discriminating MODY3 from T1DM was 0.983. Besides, the combination of clinical indices and metabolites helped to better differentiate the 2 MODY subtypes. CONCLUSIONS We identified the metabolic profiles of MODY2 and MODY3 and found promising biomarkers for distinguishing MODY from T1DM, which provides evidence for the pathogenesis and characteristic clinical manifestations of patients with MODY2 and MODY3.
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Affiliation(s)
- Jieying Liu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Junling Fu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Department of Endocrinology, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Ziyan Xie
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Lu Ding
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Dongmei Wang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Miao Yu
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Qian Zhang
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Ting Xie
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China; Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xinhua Xiao
- Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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Chen Y, Zhao J, Li X, Xie Z, Huang G, Yan X, Zhou H, Zheng L, Xu T, Zhou K, Zhou Z. Prevalence of maturity-onset diabetes of the young in phenotypic type 2 diabetes in young adults: a nationwide, multi-center, cross-sectional survey in China. Chin Med J (Engl) 2023; 136:56-64. [PMID: 36723869 PMCID: PMC10106210 DOI: 10.1097/cm9.0000000000002321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Maturity-onset diabetes of the young (MODY) is the most common monogenic diabetes. The aim of this study was to assess the prevalence of MODY in phenotypic type 2 diabetes (T2DM) among Chinese young adults. METHODS From April 2015 to October 2017, this cross-sectional study involved 2429 consecutive patients from 46 hospitals in China, newly diagnosed between 15 years and 45 years, with T2DM phenotype and negative for standardized glutamic acid decarboxylase antibody at the core laboratory. Sequencing using a custom monogenic diabetes gene panel was performed, and variants of 14 MODY genes were interpreted as per current guidelines. RESULTS The survey determined 18 patients having genetic variants causing MODY (6 HNF1A , 5 GCK , 3 HNF4A , 2 INS , 1 PDX1 , and 1 PAX4 ). The prevalence of MODY was 0.74% (95% confidence interval [CI]: 0.40-1.08%). The clinical characteristics of MODY patients were not specific, 72.2% (13/18) of them were diagnosed after 35 years, 47.1% (8/17) had metabolic syndrome, and only 38.9% (7/18) had a family history of diabetes. No significant difference in manifestations except for hemoglobin A1c levels was found between MODY and non-MODY patients. CONCLUSION The prevalence of MODY in young adults with phenotypic T2DM was 0.74%, among which HNF1A -, GCK -, and HNF4A -MODY were the most common subtypes. Clinical features played a limited role in the recognition of MODY.
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Affiliation(s)
- Yan Chen
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Jing Zhao
- College of Life Sciences, The University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xia Li
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Zhiguo Xie
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Gan Huang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Xiang Yan
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Houde Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Li Zheng
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Tao Xu
- College of Life Sciences, The University of Chinese Academy of Sciences, Beijing 100049, China
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 271016, China
| | - Kaixin Zhou
- College of Life Sciences, The University of Chinese Academy of Sciences, Beijing 100049, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 271016, China
| | - Zhiguang Zhou
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
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Nakasato Y, Terashita S, Kusabiraki S, Horie S, Wada T, Nakabayashi M, Nakamura M, Yorifuji T. Glucokinase maturity-onset diabetes of the young as a mimicker of stress hyperglycemia: a case report. Clin Pediatr Endocrinol 2023; 32:72-75. [PMID: 36761491 PMCID: PMC9887293 DOI: 10.1297/cpe.2022-0024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 11/07/2022] [Indexed: 12/04/2022] Open
Abstract
Febrile seizures are frequently accompanied by stress-induced hyperglycemia. Herein, we report the case of a 1.5-yr-old girl with hyperglycemia during febrile seizures who was subsequently diagnosed with glucokinase (GCK) maturity-onset diabetes of the young (MODY), considering its distinction from stress hyperglycemia. Following the development of febrile seizures owing to adenovirus infection, the patient presented a casual blood glucose level was 185 mg/dL. She had a multigenerational family history of diabetes and a hemoglobin A1c (HbA1c) level of 6.4%. Owing to the persistent glucose intolerance until the age of 5 years, genetic testing was performed, which revealed a heterozygous mutation in GCK, and the patient was diagnosed with GCK-MODY. Precise diagnosis of GCK-MODY individuals is important to avoid administering unnecessary antidiabetic medications. Even during hyperglycemia under stress, multigenerational diabetes and mildly elevated HbA1c levels can suggest GCK-MODY.
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Affiliation(s)
| | | | | | - Sadashi Horie
- Department of Pediatrics, Toyama University Hospital, Toyama,
Japan
| | - Takuya Wada
- Department of Pediatrics, Toyama City Hospital, Toyama,
Japan
| | | | | | - Tohru Yorifuji
- Division of Pediatric Endocrinology and Metabolism,
Children’s Medical Center, Osaka City General Hospital, Osaka, Japan
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Perge K, Nicolino M. Variable phenotypes of individual and family monogenic cases with hyperinsulinism and diabetes: a systematic review. Rev Endocr Metab Disord 2022; 23:1063-1078. [PMID: 35996042 DOI: 10.1007/s11154-022-09749-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/01/2022] [Indexed: 10/15/2022]
Abstract
Maturity-Onset Diabetes of the Youth (MODY) diabetes remains commonly misdiagnosed. A monogenic form should be suspected in individuals presenting hyperinsulinemic hypoglycemia (HH) associated with, either later development of MODY (hypoglycemia-remission-diabetes sequence), or with first/second-degree family history of diabetes. Herein, we aimed to describe this individual or family monogenic association between HH and diabetes, and identify potential genotype-phenotype correlations. We conducted a systematic review of 26 studies, including a total of 67 patients with this association resulting from variants in GCK (n = 5 cases), ABCC8 (n = 29), HNF1A (n = 5), or HNF4A (n = 28). A family history of hypoglycemia and/or diabetes was present in 91% of cases (61/67). Median age at first hypoglycemia was 24 h after birth. Diazoxide was initiated in 46 children (46/67-69%); responsiveness was found in 91% (42/46). Median HH duration was three years (1 day-25 years). Twenty-three patients (23/67-34%) later developed diabetes (median age: 13 years; range: 8-48); more frequently in those untreated with diazoxide. This association was most commonly inherited in an autosomal dominant manner (43/48-90%). Some genes were associated with less severe initial hypoglycemia (HNF1A), shorter duration of HH (HNF4A), and more maternal (ABCC8) or paternal (HNF4A) transmission. This study illustrates that the same genotype can give a biphasic phenotype in the same person or a reverse phenotype in the same family. Wider awareness of this association is necessary in pediatrics to establish annual monitoring of patients who have presented HH, and during maternity to screen diabetes and optimize genetic counseling and management of pregnancy, childbirth, and the newborn.PROSPERO registration: CRD42020178265.
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Affiliation(s)
- Kevin Perge
- Service d'Endocrinologie Pédiatrique Et Pédiatrie Générale, Hospices Civils de Lyon, Hôpital Femme Mère Enfant, 59 Boulevard Pinel, 69677, Bron, France
- Université Claude Bernard, Lyon 1, 8 Avenue Rockefeller, 69008, Lyon, France
| | - Marc Nicolino
- Service d'Endocrinologie Pédiatrique Et Pédiatrie Générale, Hospices Civils de Lyon, Hôpital Femme Mère Enfant, 59 Boulevard Pinel, 69677, Bron, France.
- Université Claude Bernard, Lyon 1, 8 Avenue Rockefeller, 69008, Lyon, France.
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Rao PV, Bean E, Nair-Schaef D, Chen S, Kazmierczak SC, Roberts CT, Nagalla SR. Rapid Point-of-Care Test for Determination of C-Peptide Levels. J Diabetes Sci Technol 2022; 16:976-981. [PMID: 33729032 PMCID: PMC9264426 DOI: 10.1177/1932296821995557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
C-peptide is co-secreted with insulin and is not subject to hepatic clearance and thus reflects functional β-cell mass. Assessment of C-peptide levels can identify individuals at risk for or with type 1 diabetes with residual β-cell function in whom β cell-sparing interventions can be evaluated, and can aid in distinguishing type 2 diabetes from Latent Autoimmune Diabetes in Adults and late-onset type 1 diabetes. To facilitate C-peptide testing, we describe a quantitative point-of-care C-peptide test. C-peptide levels as low as 0.2 ng/ml were measurable in a fingerstick sample, and the test was accurate over a range of 0.17 to 12.0 ng/ml. This test exhibited a correlation of r = 0.98 with a high-sensitivity commercial ELISA assay and a correlation of r = 0.90 between matched serum and fingerstick samples.
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Affiliation(s)
| | - Eric Bean
- Diabetomics, Inc., Hillsboro, OR,
USA
| | | | - Siting Chen
- School of Public Health, Oregon Health
& Science University, Portland, OR, USA
| | | | | | - Srinivasa R. Nagalla
- Diabetomics, Inc., Hillsboro, OR,
USA
- Srinivasa R. Nagalla, MD, Diabetomics, Inc.,
2345 NE Overlook Dr., Hillsboro, OR 97006, USA.
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Menon S, Refaey A, Guffey D, Balasubramanyam A, Redondo MJ, Tosur M. Optimizing maturity-onset diabetes of the young detection in a pediatric diabetes population. Pediatr Diabetes 2022; 23:447-456. [PMID: 35218126 DOI: 10.1111/pedi.13329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/18/2022] [Accepted: 02/20/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Maturity-onset diabetes of the young (MODY) is often misdiagnosed as type 1/type 2 diabetes. We aimed to define patient characteristics to guide the decision to test for MODY in youth with diabetes. RESEARCH DESIGN AND METHODS Of 4750 patients enrolled in the Diabetes Registry at Texas Children's Hospital between July 2016 and July 2019, we selected ("Study Cohort", n = 350) those with: (1) diabetes diagnosis <25 years, (2) family history of diabetes in three consecutive generations, and (3) absent islet autoantibodies except for GAD65. We retrospectively studied their clinical and biochemical characteristics and available MODY testing results. Cluster analysis was then performed to identify the cluster with highest rate of MODY diagnosis. RESULTS Patients in the Study Cohort were 3.5 times more likely to have been diagnosed with MODY than in the overall Diabetes Registry (4.6% vs. 1.3%, p < 0.001). The cluster (n = 16) with the highest rate of clinician-diagnosed MODY (25%, n = 4/16) had the lowest age (10.9 ± 2.5 year), BMI-z score (0.5 ± 0.9), C-peptide level (1.5 ± 1.2 ng/ml) and acanthosis nigricans frequency (12.5%) at diabetes diagnosis (all p < 0.05). In this cluster, three out of five patients who underwent MODY genetic testing had a pathogenic variant. CONCLUSIONS Using a stepwise approach, we identified that younger age, lower BMI, lower C-peptide, and absence of acanthosis nigricans increase likelihood of MODY in racially/ethnically diverse children with diabetes who have a multigenerational family history of diabetes and negative islet autoantibodies, and can be used by clinicians to select patients for MODY testing.
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Affiliation(s)
- Sruthi Menon
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA
| | | | - Danielle Guffey
- Dan L. Duncan Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, Texas, USA
| | - Maria J Redondo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA
| | - Mustafa Tosur
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA
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Two Cases of Wolfram Syndrome Who Were Initially Diagnosed With Type 1 Diabetes. AACE Clin Case Rep 2022; 8:128-130. [PMID: 35602877 PMCID: PMC9123558 DOI: 10.1016/j.aace.2022.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 12/27/2021] [Accepted: 01/07/2022] [Indexed: 11/30/2022] Open
Abstract
Objective Early diagnosis of syndromic monogenic diabetes allows for proper management and can lead to improved quality of life in the long term. This report aimed to describe 2 genetically confirmed cases of Wolfram syndrome, a rare endoplasmic reticulum disorder characterized by insulin-dependent diabetes mellitus, optic nerve atrophy, and progressive neurodegeneration. Case Report A 16-year-old Caucasian male patient and a 25-year-old Caucasian female patient with a history of diabetes mellitus and optic nerve atrophy presented at our medical center. Both patients were initially diagnosed with type 1 diabetes but negative for islet autoantibodies. Their body mass indexes were under 25 at the diagnosis. Their history and presentation were highly suspicious for Wolfram syndrome. Discussion The genetic tests revealed a known Wolfram syndrome 1 (WFS1) pathogenic variant (homozygous) in the 16-year-old male patient and 2 known WFS1 pathogenic variants (compound heterozygous) in the 25-year-old female patient with diabetes mellitus and optic nerve atrophy, confirming the diagnosis of Wolfram syndrome. The first patient had a moderate form, and the second patient had a milder form of Wolfram syndrome. Conclusion Providers should consider monogenic diabetes genetic testing, including WFS1 gene, for patients with early-onset diabetes who are negative for islet autoantibodies and lean. Two patients described in this article could have been diagnosed with Wolfram syndrome before they developed optic nerve atrophy. Genetic testing is a valuable tool for the early detection of Wolfram syndrome, which leads to proper management and improved quality of life in patients with this rare medical condition.
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13
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Nguyen HV, Schatz DA, Mital S, Jacobsen LM, Haller MJ. Cost-Effectiveness of Low-Dose Antithymocyte Globulin Versus Other Immunotherapies for Treatment of New-Onset Type 1 Diabetes. Diabetes Technol Ther 2022; 24:258-267. [PMID: 34704801 DOI: 10.1089/dia.2021.0329] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objective: Several immunotherapies have shown efficacy in slowing C-peptide decline in new-onset type 1 diabetes. Although most of these biologic drugs are expensive, they offer the opportunity to reduce downstream disease management costs and risk of complications. The objective of this study is to examine the cost-effectiveness of immunotherapies versus no treatment for patients with new-onset type 1 diabetes. Methods: Using Markov microsimulation modeling and efficacy data from immunotherapy trials, we examined the cost-effectiveness of six immunotherapies for new-onset type 1 diabetes, namely, low-dose (2.5 mg/kg) antithymocyte globulin (ATG), high-dose (6.5 mg/kg) ATG, abatacept, alefacept, rituximab, and teplizumab, versus no treatment. Effectiveness was measured by quality-adjusted life-years (QALYs). Costs were estimated from a health system perspective. Results: Low-dose ATG treatment saves US$10,270, on average, over a patient's lifetime and generates 0.09 additional QALYs compared with no treatment. These cost savings arise as low-dose ATG generates downstream savings in disease management costs that more than offset its cost. In contrast, treatment with other immunotherapies yields smaller QALY gains (0.02-0.05 additional QALYs) and increases lifetime costs by US$9500-US$168,380 relative to no treatment, with incremental cost-effectiveness ratios that exceed the willingness-to-pay threshold of US$100,000 per QALY. Conclusions: Low-dose ATG treatment is both less costly and more effective relative to other immunotherapies and no treatment for new-onset type 1 diabetes.
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Affiliation(s)
- Hai V Nguyen
- School of Pharmacy, Memorial University of Newfoundland, St. John's, Canada
| | - Desmond A Schatz
- Department of Pediatrics, Division of Endocrinology, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Shweta Mital
- School of Pharmacy, Memorial University of Newfoundland, St. John's, Canada
| | - Laura M Jacobsen
- Department of Pediatrics, Division of Endocrinology, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Michael J Haller
- Department of Pediatrics, Division of Endocrinology, University of Florida College of Medicine, Gainesville, Florida, USA
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14
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Passanisi S, Salzano G, Bombaci B, Lombardo F. Clinical and genetic features of maturity-onset diabetes of the young in pediatric patients: a 12-year monocentric experience. Diabetol Metab Syndr 2021; 13:96. [PMID: 34496959 PMCID: PMC8424812 DOI: 10.1186/s13098-021-00716-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/30/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND A retrospective observational study was conducted to assess the prevalence of maturity onset diabetes of the young (MODY) in a large paediatric population of Southern Italy newly diagnosed with diabetes. Clinical and genetic features of the identified MODY patients were also described. METHODS Genetic testing was performed in children and adolescents newly diagnosed with diabetes who presented autoantibody negativity and fasting C-peptide levels ≥ 0.8 ng/mL. Patients with a low insulin daily dose and optimal glycaemic control after two years from diabetes onset were also investigated for monogenic diabetes, regardless of their autoimmunity status and/or C-peptide levels. RESULTS A prevalence of 6.5% of MODY was found. In particular, glucokinase-MODY was the most common type of MODY. The mean age at diagnosis was 9.1 years. Clinical presentation and biochemical data were heterogeneous also among patients belonging to the same MODY group. CONCLUSIONS We found a relatively high prevalence of MODY among paediatric patients with a new diagnosis of diabetes in comparison to literature data. Our findings highlight that a more detailed clinical evaluation along with easier and less expensive approachability to genetic testing may allow diagnosing an increasing number of MODY cases. A correct, prompt diagnosis is crucial to choose the most appropriate treatment and offer adequate genetic counselling.
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Affiliation(s)
- Stefano Passanisi
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Via Consolare Valeria 1, 98124, Messina, Italy.
| | - Giuseppina Salzano
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Via Consolare Valeria 1, 98124, Messina, Italy
| | - Bruno Bombaci
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Via Consolare Valeria 1, 98124, Messina, Italy
| | - Fortunato Lombardo
- Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", University of Messina, Via Consolare Valeria 1, 98124, Messina, Italy
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15
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Ivanoshchuk DE, Shakhtshneider EV, Rymar OD, Ovsyannikova AK, Mikhailova SV, Fishman VS, Valeev ES, Orlov PS, Voevoda MI. The Mutation Spectrum of Maturity Onset Diabetes of the Young (MODY)-Associated Genes among Western Siberia Patients. J Pers Med 2021; 11:57. [PMID: 33477506 PMCID: PMC7831070 DOI: 10.3390/jpm11010057] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/13/2021] [Accepted: 01/13/2021] [Indexed: 12/13/2022] Open
Abstract
Maturity onset diabetes of the young (MODY) is a congenital form of diabetes characterized by onset at a young age and a primary defect in pancreatic-β-cell function. Currently, 14 subtypes of MODY are known, and each is associated with mutations in a specific gene: HNF4A, GCK, HNF1A, PDX1, HNF1B, NEUROD1, KLF11, CEL, PAX4, INS, BLK, KCNJ11, ABCC8, and APPL1. The most common subtypes of MODY are associated with mutations in the genes GCK, HNF1A, HNF4A, and HNF1B. Among them, up to 70% of cases are caused by mutations in GCK and HNF1A. Here, an analysis of 14 MODY genes was performed in 178 patients with a MODY phenotype in Western Siberia. Multiplex ligation-dependent probe amplification analysis of DNA samples from 50 randomly selected patients without detectable mutations did not reveal large rearrangements in the MODY genes. In 38 patients (37% males) among the 178 subjects, mutations were identified in HNF4A, GCK, HNF1A, and ABCC8. We identified novel potentially causative mutations p.Lys142*, Leu146Val, Ala173Glnfs*30, Val181Asp, Gly261Ala, IVS7 c.864 -1G>T, Cys371*, and Glu443Lys in GCK and Ser6Arg, IVS 2 c.526 +1 G>T, IVS3 c.713 +2 T>A, and Arg238Lys in HNF1A.
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Affiliation(s)
- Dinara E. Ivanoshchuk
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
- Institute of Internal and Preventive Medicine—Branch of Institute of Cytology and Genetics, SB RAS, Bogatkova Str. 175/1, 630004 Novosibirsk, Russia; (O.D.R.); (A.K.O.)
| | - Elena V. Shakhtshneider
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
- Institute of Internal and Preventive Medicine—Branch of Institute of Cytology and Genetics, SB RAS, Bogatkova Str. 175/1, 630004 Novosibirsk, Russia; (O.D.R.); (A.K.O.)
| | - Oksana D. Rymar
- Institute of Internal and Preventive Medicine—Branch of Institute of Cytology and Genetics, SB RAS, Bogatkova Str. 175/1, 630004 Novosibirsk, Russia; (O.D.R.); (A.K.O.)
| | - Alla K. Ovsyannikova
- Institute of Internal and Preventive Medicine—Branch of Institute of Cytology and Genetics, SB RAS, Bogatkova Str. 175/1, 630004 Novosibirsk, Russia; (O.D.R.); (A.K.O.)
| | - Svetlana V. Mikhailova
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
| | - Veniamin S. Fishman
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
| | - Emil S. Valeev
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
| | - Pavel S. Orlov
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
- Institute of Internal and Preventive Medicine—Branch of Institute of Cytology and Genetics, SB RAS, Bogatkova Str. 175/1, 630004 Novosibirsk, Russia; (O.D.R.); (A.K.O.)
| | - Mikhail I. Voevoda
- Federal Research Center Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia; (E.V.S.); (S.V.M.); (V.S.F.); (E.S.V.); (P.S.O.); (M.I.V.)
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16
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Wang X, Lam SM, Cao M, Wang T, Wang Z, Yu M, Li B, Zhang H, Ping F, Song G, Feng K, Zhang Q, Xu J, Zhou L, Deng M, Zhai X, Xiao X, Shui G. Localized increases in CEPT1 and ATGL elevate plasmalogen phosphatidylcholines in HDLs contributing to atheroprotective lipid profiles in hyperglycemic GCK-MODY. Redox Biol 2021; 40:101855. [PMID: 33450726 PMCID: PMC7810764 DOI: 10.1016/j.redox.2021.101855] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 12/31/2020] [Accepted: 01/01/2021] [Indexed: 02/03/2023] Open
Abstract
Glucokinase-maturity onset diabetes of the young (GCK-MODY) represents a rare genetic disorder due to mutation in the glucokinase (GCK) gene. The low incidence of vascular complications in GCK-MODY makes it a natural paradigm for interrogating molecular mechanisms promoting vascular health under prolonged hyperglycemia. Clinical rate of misdiagnosis has remained high, and a reliable serum lipid biomarker that precedes genetic screening can facilitate correct diagnosis and treatment. Herein, we comprehensively quantitated 565 serum lipids from 25 classes in 105 subjects (42 nondiabetic controls, 30 GC K-MODY patients, 33 drug-naïve, and newly-onset T2D patients). At false-discovery rate (FDR) < 0.05, several phosphatidylcholines (PCs) and plasmalogen PCs were specifically increased in GCK-MODY, while triacylglycerols (TAGs) and diacylglycerols (DAGs) were reduced. Correlation matrices between lipids uncovered coregulation between plasmalogen PCs (PCps) and glycerolipid precursors was distinctly enhanced in GCK-MODY compared to T2D. Strengthened positive correlations between serum PCps and circulating HDLs was specifically observed in hyperglycemic subjects (i.e. T2D and GCK-MODY) compared to normglycemic controls, suggesting that HDL-PCps may elicit distinct physiological effects under hyperglycemia. Amongst GCK-MODY patients, individuals harboring variants of GCK mutations with elevated PCps also exhibited higher HDLs. Isolated HDLs displayed localized increases (p < 0.05) in very-long-chain PUFA-PCs and PCps in GCK-MODY. Protein analyses revealed elevated levels of HDL-resident ATGL (P = 0.003) and CEPT1 (P < 0.0001), which mediate critical steps of PCps production along the TAG-DAG-PC axis, in GCK-MODY relative to T2D. A panel of four lipids differentiated GCK-MODY from T2D with AUC of 0.950 (95% CI 0.903–9.997). This study provides the first evidence that enhanced recruitment of CEPT1 and ATGL onto HDLs essentially underlie the atheroprotective profiles associated with GCK-MODY. Resultant increases in the production of HDL-PCps and PUFA-PCs provides an active, circulating form of protection towards the vasculature of GCK-MODY, thereby lowering the incidence of vascular complications despite chronic exposure to hyperglycemia since birth.
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Affiliation(s)
- Xiaojing Wang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Sin Man Lam
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China; Lipidall Technologies Company Limited, Changzhou, 213022, Jiangsu Province, People's Republic of China
| | - Mingjun Cao
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Tong Wang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Zhixin Wang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Miao Yu
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Bowen Li
- Lipidall Technologies Company Limited, Changzhou, 213022, Jiangsu Province, People's Republic of China
| | - Huabing Zhang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Fan Ping
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Guangyao Song
- Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, 050051, People's Republic of China
| | - Kai Feng
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Qian Zhang
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Jianping Xu
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Liyuan Zhou
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Mingqun Deng
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Xiao Zhai
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China
| | - Xinhua Xiao
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China; University of Chinese Academy of Sciences, Beijing, People's Republic of China.
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17
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Riddle MC, Philipson LH, Rich SS, Carlsson A, Franks PW, Greeley SAW, Nolan JJ, Pearson ER, Zeitler PS, Hattersley AT. Monogenic Diabetes: From Genetic Insights to Population-Based Precision in Care. Reflections From a Diabetes Care Editors' Expert Forum. Diabetes Care 2020; 43:3117-3128. [PMID: 33560999 PMCID: PMC8162450 DOI: 10.2337/dci20-0065] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 09/14/2020] [Indexed: 02/06/2023]
Abstract
Individualization of therapy based on a person's specific type of diabetes is one key element of a "precision medicine" approach to diabetes care. However, applying such an approach remains difficult because of barriers such as disease heterogeneity, difficulties in accurately diagnosing different types of diabetes, multiple genetic influences, incomplete understanding of pathophysiology, limitations of current therapies, and environmental, social, and psychological factors. Monogenic diabetes, for which single gene mutations are causal, is the category most suited to a precision approach. The pathophysiological mechanisms of monogenic diabetes are understood better than those of any other form of diabetes. Thus, this category offers the advantage of accurate diagnosis of nonoverlapping etiological subgroups for which specific interventions can be applied. Although representing a small proportion of all diabetes cases, monogenic forms present an opportunity to demonstrate the feasibility of precision medicine strategies. In June 2019, the editors of Diabetes Care convened a panel of experts to discuss this opportunity. This article summarizes the major themes that arose at that forum. It presents an overview of the common causes of monogenic diabetes, describes some challenges in identifying and treating these disorders, and reports experience with various approaches to screening, diagnosis, and management. This article complements a larger American Diabetes Association effort supporting implementation of precision medicine for monogenic diabetes, which could serve as a platform for a broader initiative to apply more precise tactics to treating the more common forms of diabetes.
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Affiliation(s)
- Matthew C Riddle
- Division of Endocrinology, Diabetes, & Clinical Nutrition, Oregon Health & Science University, Portland, OR
| | - Louis H Philipson
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, Department of Medicine, The University of Chicago, Chicago, IL.,Kovler Diabetes Center, The University of Chicago, Chicago, IL
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Annelie Carlsson
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Lund, Sweden
| | - Paul W Franks
- Harvard T.H. Chan School of Public Health, Boston, MA.,Lund University Diabetes Center, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Siri Atma W Greeley
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, Department of Medicine, The University of Chicago, Chicago, IL.,Kovler Diabetes Center, The University of Chicago, Chicago, IL
| | - John J Nolan
- School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Ewan R Pearson
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, Scotland, U.K
| | - Philip S Zeitler
- Children's Hospital Colorado and University of Colorado School of Medicine, Aurora, CO
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
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18
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Mital S, Nguyen HV. Cost Effectiveness of Teplizumab for Prevention of Type 1 Diabetes Among Different Target Patient Groups. PHARMACOECONOMICS 2020; 38:1359-1372. [PMID: 32960433 DOI: 10.1007/s40273-020-00962-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Teplizumab was recently shown to be the first-ever drug to prevent or delay type 1 diabetes mellitus onset in at-risk individuals, especially those with certain genetic and antibody characteristics. However, its potentially high price may pose challenges for coverage and reimbursement for payers and policymakers. Thus, it is critical to investigate the cost effectiveness of this drug for different target individuals. RESEARCH DESIGN AND METHODS Using Markov microsimulation modeling, we compared the cost effectiveness of five options for choosing target individuals (i.e., all at-risk individuals, individuals without human leukocyte antigen (HLA)-DR3 or with HLA-DR4 allele, individuals without HLA-DR3 and with HLA-DR4 allele, individuals with anti-zinc transporter 8 (ZnT8) antibody negative, and no provision at all) at different possible prices of teplizumab. Effectiveness was measured by quality-adjusted life-years. Costs were estimated from a health system perspective. RESULTS If the price of teplizumab is below US$48,900, treating all at-risk individuals is cost effective. However, it will be cost effective to treat only individuals without HLA-DR3 or with HLA-DR4 alleles for prices between US$48,900 and US$58,200, only individuals both without HLA-DR3 and with HLA-DR4 alleles for prices between US$58,200 and US$88,300, and only individuals with negative ZnT8 antibody status for prices between US$88,300 and US$193,700. CONCLUSIONS Cost-effective provision of teplizumab to target individuals depends on the price of teplizumab and genetic and antibody characteristics of treated individuals. As the drug makes its way to the market, findings from this study will help inform policymakers and payers on cost-effective ways to provide this innovative but expensive drug to at-risk individuals.
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Affiliation(s)
- Shweta Mital
- School of Pharmacy, Memorial University of Newfoundland, 300 Prince Philip Drive, St. John's, NL, A1B 3V6, Canada
| | - Hai V Nguyen
- School of Pharmacy, Memorial University of Newfoundland, 300 Prince Philip Drive, St. John's, NL, A1B 3V6, Canada.
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19
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Cocchi E, Nestor JG, Gharavi AG. Clinical Genetic Screening in Adult Patients with Kidney Disease. Clin J Am Soc Nephrol 2020; 15:1497-1510. [PMID: 32646915 PMCID: PMC7536756 DOI: 10.2215/cjn.15141219] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Expanded accessibility of genetic sequencing technologies, such as chromosomal microarray and massively parallel sequencing approaches, is changing the management of hereditary kidney diseases. Genetic causes account for a substantial proportion of pediatric kidney disease cases, and with increased utilization of diagnostic genetic testing in nephrology, they are now also detected at appreciable frequencies in adult populations. Establishing a molecular diagnosis can have many potential benefits for patient care, such as guiding treatment, familial testing, and providing deeper insights on the molecular pathogenesis of kidney diseases. Today, with wider clinical use of genetic testing as part of the diagnostic evaluation, nephrologists have the challenging task of selecting the most suitable genetic test for each patient, and then applying the results into the appropriate clinical contexts. This review is intended to familiarize nephrologists with the various technical, logistical, and ethical considerations accompanying the increasing utilization of genetic testing in nephrology care.
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Affiliation(s)
- Enrico Cocchi
- Division of Nephrology and Center for Precision Medicine and Genomics, Department of Medicine, Columbia University, New York, New York
- Department of Pediatrics, Universita' degli Studi di Torino, Torino, Italy
| | - Jordan Gabriela Nestor
- Division of Nephrology and Center for Precision Medicine and Genomics, Department of Medicine, Columbia University, New York, New York
| | - Ali G Gharavi
- Division of Nephrology and Center for Precision Medicine and Genomics, Department of Medicine, Columbia University, New York, New York
- Insititute of Genomic Medicine, Columbia University, New York, New York
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20
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Bonnefond A, Boissel M, Bolze A, Durand E, Toussaint B, Vaillant E, Gaget S, Graeve FD, Dechaume A, Allegaert F, Guilcher DL, Yengo L, Dhennin V, Borys JM, Lu JT, Cirulli ET, Elhanan G, Roussel R, Balkau B, Marre M, Franc S, Charpentier G, Vaxillaire M, Canouil M, Washington NL, Grzymski JJ, Froguel P. Pathogenic variants in actionable MODY genes are associated with type 2 diabetes. Nat Metab 2020; 2:1126-1134. [PMID: 33046911 DOI: 10.1038/s42255-020-00294-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/08/2020] [Indexed: 02/07/2023]
Abstract
Genome-wide association studies have identified 240 independent loci associated with type 2 diabetes (T2D) risk, but this knowledge has not advanced precision medicine. In contrast, the genetic diagnosis of monogenic forms of diabetes (including maturity-onset diabetes of the young (MODY)) are textbook cases of genomic medicine. Recent studies trying to bridge the gap between monogenic diabetes and T2D have been inconclusive. Here, we show a significant burden of pathogenic variants in genes linked with monogenic diabetes among people with common T2D, particularly in actionable MODY genes, thus implying that there should be a substantial change in care for carriers with T2D. We show that, among 74,629 individuals, this burden is probably driven by the pathogenic variants found in GCK, and to a lesser extent in HNF4A, KCNJ11, HNF1B and ABCC8. The carriers with T2D are leaner, which evidences a functional metabolic effect of these mutations. Pathogenic variants in actionable MODY genes are more frequent than was previously expected in common T2D. These results open avenues for future interventions assessing the clinical interest of these pathogenic mutations in precision medicine.
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Affiliation(s)
- Amélie Bonnefond
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France.
- Department of Metabolism, Imperial College London, London, UK.
| | - Mathilde Boissel
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | - Emmanuelle Durand
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Bénédicte Toussaint
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Emmanuel Vaillant
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Stefan Gaget
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Franck De Graeve
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Aurélie Dechaume
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Frédéric Allegaert
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - David Le Guilcher
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Loïc Yengo
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
- Institute for Molecular Bioscience, the University of Queensland, St Lucia, Australia
| | - Véronique Dhennin
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | | | | | - Gai Elhanan
- Desert Research Institute, Reno, NV, USA
- Renown Institute of Health Innovation, Reno, NV, USA
| | - Ronan Roussel
- Department of Diabetology Endocrinology Nutrition, Hôpital Bichat, DHU FIRE, Assistance Publique Hôpitaux de Paris, Paris, France
- Inserm U1138, Centre de Recherche des Cordeliers, Paris, France
- UFR de Médecine, University Paris Diderot, Sorbonne Paris Cité, Paris, France
| | - Beverley Balkau
- Inserm U1018, Institut Gustave Roussy, Center for Research in Epidemiology and Population Health, Villejuif, France
- University Paris-Saclay, University Paris-Sud, Villejuif, France
| | - Michel Marre
- Inserm U1138, Centre de Recherche des Cordeliers, Paris, France
- CMC Ambroise Paré, Neuilly-sur-Seine, France
| | - Sylvia Franc
- CERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France
- Department of Diabetes, Sud-Francilien Hospital, University Paris-Sud, Orsay, Corbeil-Essonnes, France
| | - Guillaume Charpentier
- CERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France
| | - Martine Vaxillaire
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | - Mickaël Canouil
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France
| | | | - Joseph J Grzymski
- Desert Research Institute, Reno, NV, USA
- Renown Institute of Health Innovation, Reno, NV, USA
| | - Philippe Froguel
- Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Université de Lille, Institut Pasteur de Lille, Lille University Hospital, Lille, France.
- Department of Metabolism, Imperial College London, London, UK.
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