Maturity-onset Diabetes Of The Young Subjects Research Articles

Molecular characterization and re-interpretation of HNF1A variants identified in Indian MODY subjects towards precision medicine.

HNF1A is an essential component of the transcription factor network that controls pancreatic β-cell differentiation, maintenance, and glucose stimulated insulin secretion (GSIS). A continuum of protein malfunction is caused by variations in the HNF1A gene, from severe loss-of-function (LOF) variants that cause the highly penetrant Maturity Onset Diabetes of the Young (MODY) to milder LOF variants that are far less penetrant but impart a population-wide risk of type 2 diabetes that is up to five times higher. Before classifying and reporting the discovered variations as relevant in clinical diagnosis, a critical review is required. Functional investigations offer substantial support for classifying a variant as pathogenic, or otherwise as advised by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) ACMG/AMP criteria for variant interpretation. To determine the molecular basis for the variations in the HNF1A gene found in patients with monogenic diabetes in India. We performed functional protein analyses such as transactivation, protein expression, DNA binding, nuclear localization, and glucose stimulated insulin secretion (GSIS) assay, along with structural prediction analysis for 14 HNF1A variants found in 20 patients with monogenic diabetes. Of the 14 variants, 4 (28.6%) were interpreted as pathogenic, 6 (42.8%) as likely pathogenic, 3 (21.4%) as variants of uncertain significance, and 1 (7.14%) as benign. Patients harboring the pathogenic/likely pathogenic variants were able to successfully switch from insulin to sulfonylureas (SU) making these variants clinically actionable. Our findings are the first to show the need of using additive scores during molecular characterization for accurate pathogenicity evaluations of HNF1A variants in precision medicine.

Low genetic confirmation rate in South Indian subjects with a clinical diagnosis of maturity-onset diabetes of the young (MODY) who underwent targeted next-generation sequencing for 13 genes.

To screen for maturity-onset diabetes of the young (MODY) variants in subjects with an early age of onset and positive family history of diabetes mellitus. 60 subjects with onset of diabetes between 3 and 30years of age and parental history (onset < 35years) of diabetes were recruited after excluding autoimmune, pancreatic and syndromic forms of diabetes. Detailed pedigree chart and clinical data were recorded. MODY genetic testing (MODY 1-13) was performed and variant classification was done adhering to the ACMG guidelines. Baseline characteristics of subjects were as follows: mean age of onset of diabetes 19.9 ± 7years, mean duration of diabetes 6.3±6.8years, BMI 23.3±3kg/m2 and C-peptide 1.56 ± 1.06nmol/l. Four out of sixty (6.6%) were positive for variants classifiable as pathogenic/likely pathogenic: one patient with HNF4Ac.691C > T, (p.Arg231Trp), two with HNF 1A c.746C > A(p.Ser249Ter) and c.1340C > T(p.Pro447Leu), and one with ABCC8 c.4544C > T (p.Thr1515Met). MODY 1 and MODY 3 variants were documented in the paediatric age group (< 18years). A genetic diagnosis of MODY could be confirmed in only 6.6% (4/60) of patients clinically classifiable as MODY. This is less than that reported in clinically diagnosed MODY subjects of European descent. Newly published population data and more stringent criteria for assessment of pathogenicity and younger age of onset of type 2 diabetes in Indians could have contributed to the lower genetic confirmation rate. Apart from variants in the classical genes (HNF1A, HNF4A), a likely pathogenic variant in a non-classical gene (ABCC8) was noted in this study.

Identification of Maturity-Onset Diabetes of the Young Caused by Mutation in FOXM1 via Whole-Exome Sequencing in Northern China.

Diabetes mellitus is a highly heterogeneous disorder encompassing different types with particular clinical manifestations, while maturity-onset diabetes of the young (MODY) is an early-onset monogenenic diabetes. Most genetic predisposition of MODY has been identified in European and American populations. A large number of Chinese individuals are misdiagnosed due to defects of unknown genes. In this study, we analyzed the genetic and clinical characteristics of the Northern China. A total of 200 diabetic patients, including 10 suspected MODY subjects, were enrolled, and the mutational analysis of monogenic genes was performed by whole-exome sequencing and confirmed by familial information and Sanger sequencing. We found that clinical features and genetic characteristics have varied widely between MODY and other diabetic subjects in Northern China. FOXM1, a key molecule in the proliferation of pancreatic β-cells, has a rare mutation rs535471991, which leads to instability within the phosphorylated domain that impairs its function. Our findings indicate that FOXM1 may play a critical role in MODY, which could reduce the misdiagnose rate and provide promising therapy for MODY patients.

1454-P: Identifying Maturity-Onset Diabetes of the Young in Electronic Health Records

Maturity onset diabetes of the young (MODY) is a rare cause of diabetes. Most clinical information required to diagnose MODY is difficult to extract from Electronic Health Records (EHR) due to the lack of specific billing code and diagnoses found only in clinical notes. Natural language processing (NLP) can be used to extract information from clinical text and assign labels. In this study, we designed NLP algorithms to scan clinical notes, characterize structured information, and confirmed classification with chart review to develop a reusable process to identify MODY patients in EHR.A de-identified version of the EHR from a large academic medical center was used. We built NLP algorithms to identify notes that mention MODY or MODY 14 genes. We further characterized the relevant mention with context labels), then reviewed charts to confirm MODY cases. We implemented published electronic phenotype algorithms for type 1 diabetes (T1D) and type 2 diabetes (T2D) to identify alternative diagnoses and characterize overlap. Finally, we extracted structured clinical features related to diabetes including frequency of billing codes, outpatient diabetes prescriptions, and laboratory values (A1C, c-peptide, antibody).The total number of notes identified with NLP was 6240 belonging to 959 unique subjects. The notes including negation, affirmation, possible, and family FH were 799, 3407, 1408, and 372 and subjects were 122, 354, and 181, respectively. The MODY count confirmed with review was 354.In MODY cohort, 66% of MODY subjects had T1D codes, 59% had T2D codes, 45% had both T1D and T2D codes, and 20% had no diabetes codes. The number of subjects identified using published algorithms that overlapped the MODY cohort was 26 subjects for T2D and 6 subjects for T1D. On average, MODY subjects had more T1D codes compared to T2D diabetes (59.8 vs. 35.3). The mean A1C of MODY subjects was 7.7 which was lower than for algorithm defined T1D, 8.2. They received lower insulin treatment compared to non-insulin treatment, on average. Disclosure L. Sulieman: None. A. Ramirez: None.

SAT-LB111 Improving Classification of Diabetes Etiology in Electronic Resources Using Phenotype Algorithms and Polygenic Risk Scores

Electronic Health Records (EHR) contain rich data to identify and study diabetes. Many phenotype algorithms have been developed to identify research subjects with type 2 diabetes (T2D), but very few accurately identify type 1 diabetes (T1D) cases or more rare forms of monogenic and atypical metabolic presentations. Polygenetic risk scores (PRS) quantify risk of a disease using common genomic variants well for both T1D and T2D. In this study, we apply validated phenotyping algorithms to EHRs linked to a genomic biobank to understand the independent contribution of PRS to classification of diabetes etiology and generate additional novel markers to distinguish subtypes of diabetes in EHR data. Using a de-identified mirror of medical center’s electronic health record, we applied published algorithms for T1D and T2D to identify cases, and used natural language processing and chart review strategies to identify cases of maturity onset diabetes of the young (MODY) and other more rare presentations. This novel approach included additional data types such as medication sequencing, ratio and temporality of insulin and non-insulin agents, clinical genetic testing, and ratios of diagnostic codes. Chart review was performed to validate etiology. To calculate PRS, we used genome wide genotyping from our BioBank, the de-identified biobank linking EHR to genomic data using coefficients of 65 published T1D SNPS and 76,996 T2D SNPS using PLINK in Caucasian subjects. In the dataset, we identified 82,238 cases of T2D but only 130 cases of T1D using the most cited published algorithms. Adding novel structured elements and natural language processing identified an additional 138 cases of T1D and distinguished 354 cases as MODY. Among over 90,000 subjects with genotyping data available, we included 72,624 Caucasian subjects since PRS coefficients were generated in Caucasian cohorts. Among those subjects, 248, 6,488, and 21 subjects were identified as T1D, T2D, and MODY subjects respectively in our final PRS cohort. The T1D PRS did significantly discriminate well between cases and controls (Mann-Whitney p-value is 3.4 e-17). The PRS for T2D did not significantly discriminate between cases and controls using published algorithms. The atypical case count was too low to calculate PRS discrimination. Calculation of the PRS score was limited by quality inclusion of variants available, and discrimination may improve in larger data sets. Additionally, blinded physician case review is ongoing to validate the novel classification scheme and provide a gold standard for machine learning approaches that can be applied in validation sets.

Quantitative Evaluation of Serum Proteins Uncovers a Protein Signature Related to Maturity-Onset Diabetes of the Young (MODY).

Maturity-onset diabetes of the young (MODY) is an inherited monogenic type of diabetes. Genetic mutations in MODY often cause nonsynonymous changes that directly lead to the functional distortion of proteins and the pathological consequences. Herein, we proposed that the inherited mutations found in a MODY family could cause a disturbance of protein abundance, specifically in serum. The serum samples were collected from a Uyghur MODY family through three generations, and the serum proteins after depletion treatment were examined by quantitative proteomics to characterize the MODY-related serum proteins followed by verification using target quantification of proteomics. A total of 32 serum proteins were preliminarily identified as the MODY-related. Further verification test toward the individual samples demonstrated the 12 candidates with the significantly different abundance in the MODY patients. A comparison of the 12 proteins among the sera of type 1 diabetes, type 2 diabetes, MODY, and healthy subjects was conducted and revealed a protein signature related with MODY composed of the serum proteins such as SERPINA7, APOC4, LPA, C6, and F5.

Half-Life of Sulfonylureas in HNF1A and HNF4A Human MODY Patients is not Prolonged as Suggested by the Mouse Hnf1a(-/-) Model.

Sulfonylurea derivatives are widely used for clinical treatment of human subjects with Maturity Onset Diabetes of the Young (MODY) caused by mutations in HNF-1α or HNF-4α despite the mechanism leading to their hypersensitivity is incompletely understood. In Hnf1a(-/-) mice, serum concentrations and half-life of sulfonylurea derivatives are strongly increased. We thus hypothesized that reduced sulfonylurea derivatives clearance stands behind their therapeutic potential in human HNF1A/HNF4A MODY subjects. Single doses of 3 mg glipizide and 5 mg glibenclamide/glyburide were administered sequentially to seven HNF1A/HNF4A MODY subjects and six control individuals matched for their age, BMI and CYP2C9 genotype. Pharmacokinetic (plasma concentration levels, Cmax, tmax, t1/2, AUC) and pharmacodynamic parameters (glycemia, C-peptide and insulin plasma levels) were followed for 24 hours after drug administration. We provide the first evidence on the pharmacokinetics and pharmacodynamics of sulfonylurea derivatives in human MODY subjects. The half-life of glipizide did not change, and reached 3.8±0.7 and 3.7±1.8 h in the MODY and control subjects, respectively. The half-life of glibenclamide was increased only in some MODY subjects (t1/2 9.5±6.7 and 5.0±1.4 h, respectively). Importantly, the intra- individual responses of MODY (but control) subjects to glipizide and glibenclamide treatment were highly correlated. With regards to pharmacodynamics, we observed a differential response of control but not MODY subjects to the doses of glipizide and glibenclamide applied. We rejected the hypothesis that all human MODY-associated mutations in HNF1A / HNF4A induce changes in the pharmacokinetics of sulfonylureas in humans analogically to the Hnf1a(-/-) mouse model.

Maturity onset diabetes of the young in India - a distinctive mutation pattern identified through targeted next-generation sequencing.

To establish and utilize a Next-Generation Sequencing (NGS)-based strategy to screen for maturity onset diabetes of the young (MODY) gene mutations in subjects with early-onset diabetes. Maturity onset diabetes of the young (MODY) genetic testing was carried out in 80 subjects of Asian Indian origin with young onset diabetes to identify mutations in a comprehensive panel of ten MODY genes. A novel multiplex polymerase chain reaction (PCR)-based target enrichment was established, followed by NGS on the Ion Torrent Personal Genome Machine (PGM). All the mutations and rare variants were confirmed by Sanger sequencing. We identified mutations in 11 (19%) of the 56 clinically diagnosed MODY subjects and seven of these mutations were novel. The identified mutations include p.H241Q, p.E59Q, c.-162G>A 5' UTR in NEUROD1, p.V169I cosegregating with c.493-4G>A and c.493-20C>T, p.E271K in HNF4A, p.A501S in HNF1A, p.E440X in GCK, p.V177M in PDX1, p.L92F in HNF1B and p.R31L in PAX4 genes. Interestingly, two patients with NEUROD1 mutation were also positive for the p.E224K mutation in PDX1 gene. These patients with coexisting NEUROD1-PDX1 mutations showed a marked reduction in glucose-induced insulin secretion. All 24 subjects who had not met the clinical criteria of MODY were negative for the mutations. To the best of our knowledge, this is the first report of PDX1, HNF1B, NEUROD1 and PAX4 mutations from India. Multiplex PCR coupled with NGS provides a rapid, cost-effective and accurate method for comprehensive parallelized genetic testing of MODY. When compared to earlier reports, we have identified a higher frequency and a novel digenic mutation pattern involving NEUROD1 and PDX1 genes.

Systematic assessment of etiology in adults with a clinical diagnosis of young-onset type 2 diabetes is a successful strategy for identifying maturity-onset diabetes of the young.

OBJECTIVEMisdiagnosis of maturity-onset diabetes of the young (MODY) remains widespread, despite the benefits of optimized management. This cross-sectional study examined diagnostic misclassification of MODY in subjects with clinically labeled young adult-onset type 1 and type 2 diabetes by extending genetic testing beyond current guidelines.RESEARCH DESIGN AND METHODSIndividuals were selected for diagnostic sequencing if they displayed features atypical for their diagnostic label. From 247 case subjects with clinically labeled type 1 diabetes, we sequenced hepatocyte nuclear factor 1 α (HNF1A) and hepatocyte nuclear factor 4 α (HNF4A) in 20 with residual β-cell function ≥3 years from diagnosis (random or glucagon-stimulated C-peptide ≥0.2 nmol/L). From 322 with clinically labeled type 2 diabetes, we sequenced HNF1A and HNF4A in 80 with diabetes diagnosed ≤30 years and/or diabetes diagnosed ≤45 years without metabolic syndrome. We also sequenced the glucokinase (GCK) in 40 subjects with mild fasting hyperglycemia.RESULTSIn the type 1 diabetic group, two HNF1A mutations were found (0.8% prevalence). In type 2 diabetic subjects, 10 HNF1A, two HNF4A, and one GCK mutation were identified (4.0%). Only 47% of MODY case subjects identified met current guidelines for diagnostic sequencing. Follow-up revealed a further 12 mutation carriers among relatives. Twenty-seven percent of newly identified MODY subjects changed treatment, all with improved glycemic control (HbA1c 8.8 vs. 7.3% at 3 months; P = 0.02).CONCLUSIONSThe systematic use of widened diagnostic testing criteria doubled the numbers of MODY case subjects identified compared with current clinical practice. The yield was greatest in young adult-onset type 2 diabetes. We recommend that all patients diagnosed before age 30 and with presence of C-peptide at 3 years' duration are considered for molecular diagnostic analysis.

Identification of Novel Variants in the Hepatocyte Nuclear Factor-1α Gene in South Indian Patients with Maturity Onset Diabetes of Young

Mutations in the HNF 1A gene are the most common cause of maturity-onset diabetes of the young (MODY) in most populations. India currently has the largest number of people with diabetes in the world, and onset of type 2 diabetes occurs at a younger age with possible overlap with MODY. There are very few data on MODY mutations from India. The objective was to screen coding and promoter regions of HNF1A gene for mutations in unrelated South Indian subjects in whom a clinical diagnosis of MODY was made. This was an observational cross-sectional study. The study was conducted at a diabetes specialties centre in Chennai in southern India. Ninety-six unrelated south Indian subjects in whom clinical diagnosis of MODY was made were included in the study. The control population comprised of 57 unrelated nondiabetic subjects selected from the Chennai Urban Rural Epidemiology Study, a study conducted on a representative population (aged > or =20 yr) of Chennai. We identified nine novel variants comprising seven mutations (one novel mutation -538G>C at promoter region and six novel coding region mutations) and two polymorphisms in the HNF1A gene. Functional studies revealed reduced transcriptional activity of the HNF1A promoter for two promoter variants. We also observed cosegregation with diabetes of the Arg263His coding region mutation in eight members of one MODY family, whereas it was absent in nondiabetic subjects of this family. This study suggests that mutations in the HNF1A gene comprise about 9% of clinically diagnosed MODY subjects in southern India and a novel Arg263His mutation cosegregates with MODY in one family.

The genetic abnormality in the beta cell determines the response to an oral glucose load.

We assessed how the role of genes genetic causation in causing maturity-onset diabetes of the young (MODY) alters the response to an oral glucose tolerance test (OGTT). We studied OGTT in 362 MODY subjects, from seven European centres; 245 had glucokinase gene mutations and 117 had Hepatocyte Nuclear Factor -1 alpha ( HNF-1alpha) gene mutations. BMI and age were similar in the genetically defined groups. Fasting plasma glucose (FPG) was less than 5.5 mmol/l in 2 % glucokinase subjects and 46 % HNF-1 alpha subjects ( p < 0.0001). Glucokinase subjects had a higher FPG than HNF-1 alpha subjects ([means +/- SD] 6.8 +/- 0.8 vs 6.0 +/- 1.9 mmol/l, p < 0.0001), a lower 2-h value (8.9 +/- 2.3 vs 11.2 +/- 5.2 mmol/l, p < 0.0001) and a lower OGTT increment (2-h - fasting) (2.1 +/- 2.3 vs 5.2 +/- 3.9 mmol/l, p < 0.0001). The relative proportions classified as diabetic depended on whether fasting (38 % vs 22 %, glucokinase vs HNF-1 alpha) or 2-h values (19 % vs 44 %) were used. Fasting and 2-h glucose values were not correlated in the glucokinase subjects ( r = -0.047, p = 0.65) but were strongly correlated in HNF-1 alpha subjects ( r = 0.8, p < 0.001). Insulin concentrations were higher in the glucokinase subjects throughout the OGTT. The genetic cause of the beta-cell defect results in clear differences in both the fasting glucose and the response to an oral glucose load and this can help diagnostic genetic testing in MODY. OGTT results reflect not only the degree of hyperglycaemia but also the underlying cause.

Genetic variation in the hepatocyte nuclear factor (HNF)-3alpha gene does not contribute to maturity-onset diabetes of the young in Japanese.

Heterozygous mutations in the genes encoding transcription factors in the hepatocyte nuclear factor (HNF) cascade are associated with maturity-onset diabetes of the young (MODY), a monogenic form of diabetes mellitus. However, these genes are responsible for only approximately 20% of the cases of MODY in Japanese patients. Searching for a novel MODY gene in this population, we investigated a candidate for encoding the forkhead transcription factor HNF-3alpha, which also belongs to the HNF-transcription cascade. The human HNF-3alpha gene, which was assigned to the segment near microsatellites D14S75 and AFM200ZH4 on chromosome 14 by radiation hybrid mapping, spans approximately 5 kb and consists of two exons. Ninety-five Japanese subjects with MODY/early-onset non-ketotic diabetes were screened for mutations in this gene. Direct sequencing of the exons and flanking regions identified one missense mutation (Ala-83-Thr) in exon 2 and three nucleotide alterations in the non-coding regions. However, their frequencies were not significantly different between MODY and control subjects, indicating that mutations in the HNF-3alpha gene are not a major cause of MODY in Japanese patients.

Mutations in the hepatocyte nuclear factor-4alpha gene in maturity-onset diabetes of the young (MODY1)

The disease maturity-onset diabetes of the young (MODY) is a genetically heterogeneous monogenic form of non-insulin-dependent (type 2) diabetes mellitus (NIDDM), characterized by early onset, usually before 25 years of age and often in adolescence or childhood, and by autosomal dominant inheritance. It has been estimated that 2-5% of patients with NIDDM may have this form of diabetes mellitus. Clinical studies have shown that prediabetic MODY subjects have normal insulin sensitivity but suffer from a defect in glucose-stimulated insulin secretion, suggesting that pancreatic beta-cell dysfunction rather than insulin resistance is the primary defect in this disorder. Linkage studies have localized the genes that are mutated in MODY on human chromosomes 20 (MODY1), 7 (MODY2) and 12 (MODY3), with MODY2 and MODY3 being allelic with the genes encoding glucokinase, a key regulator of insulin secretion, and hepatocyte nuclear factor-1alpha (HNF-1alpha), a transcription factor involved in tissue-specific regulation of liver genes but also expressed in pancreatic islets, insulinoma cells and other tissues. Here we show that MODY1 is the gene encoding HNF-4alpha (gene symbol, TCF14), a member of the steroid/thyroid hormone receptor superfamily and an upstream regulator of HNF-1alpha expression.

A pilot study of chronic recombinant interferon-alfa 2a for diabetic proliferative retinopathy: Metabolic effects and opthalmologic effects

The objective of this study was to evaluate the metabolic effects and opthalmologic effects of α-interferon therapy in diabetes mellitus patients with proliferative diabetic retinopathy (PDR). Three volunteer patients [insulin-dependent diabetes mellitus (IDDM), insulin requiring non-insulin-dependent diabetes mellitus (NIDDM), and maturity onset diabetes of the young (MODY)] threatened with blindness due to progressive PDR were treated with a interferon for 4 months and were evaluated at intervals of 1–2 weeks to monitor the drug effects on carbohydrate tolerance and possible beneficial therapeutic effects on the preexisting PDR. Metabolic studies included basal and postsustacal glucose, c-peptide and glucagon, fasting serum cortisol, free fatty acids, growth hormone, insulin-like growth factor-1, and urinary microalbumin excretion. Ophthalmologic studies included visual acuity, slit lamp examination, gonioscopy, fluorescein angiography, and standard colored fundus photographs. In all subjects, hyperglycemia worsened with duration of increasing dosage of interferon therapy, requiring progressively higher daily insulin requirements of 17%–68% above pretreatment values. Lowered levels of stimulated C-peptide were observed in the NIDDM and MODY subjects. The counterregulatory hormones (cortisol, growth hormone, and glucagon) were elevated during the 4 months of interferon therapy. In all subjects, visual acuity appeared to stabilize. No new retinal hemorrhages occurred during the 4 months of interferon administration, although all subjects experienced hemorrhage within 6 weeks of termination of the drug. Although only three subjects were investigated, the 1–2 week frequency of metabolic and opthalmologic studies permit some conclusions. The metabolic effects of α interferon in our diabetic subjects were consistent worsening of carbohydrate tolerance associated with impaired β-cell secretion and increased insulin resistance. The extensive opthalmologic investigation suggested protection from retinal hemorrhage while receiving interferon, but further studies are indicated to validate these proposed and antiangiogenic properties.

Altered Insulin Secretory Responses to Glucose in Subjects with a Mutation in the MODY1 Gene on Chromosome 20

This study was undertaken to test the hypothesis that the diabetes susceptibility gene on chromosome 20q12 responsible for maturity-onset diabetes of the young (MODY) in a large kindred, the RW family, results in characteristic alterations in the dose-response relationships between plasma glucose concentration and insulin secretion rate (ISR) that differentiate this form of MODY from MODY in subjects with glucokinase mutations. Ten marker-positive subjects and six matched nondiabetic marker-negative subjects from the RW family received graded intravenous glucose infusions on two occasions separated by a 42-h continuous intravenous glucose infusion designed to prime the beta-cell to secrete more insulin in response to glucose. ISR was derived by deconvolution of peripheral C-peptide levels. Basal glucose and insulin levels were similar in marker-negative and marker-positive groups (5.3 +/- 0.2 vs. 5.0 +/- 0.2 mmol/l, P > 0.2, and 86.1 +/- 3.9 vs. 63.7 +/- 12.1 pmol/l, P > 0.1, respectively). However, the marker-positive subjects had defective insulin secretory responses to an increase in plasma glucose concentrations. Thus, as the glucose concentration was raised above 7 mmol/l, the slope of the curve relating glucose and ISR was significantly blunted in the marker-positive subjects (13 +/- 4 vs. 68 +/- 8 pmol.min-1.mmol-1 x 1, P < 0.0001).(ABSTRACT TRUNCATED AT 250 WORDS)