Maturity-onset Diabetes Research Articles

In Vitro Functional Analysis Can Aid Precision Diagnostics of HNF1B-MODY

Precision medicine relies on accurate and consistent classification of sequence variants. A correct diagnosis of HNF1B-MODY, caused by pathogenic variants in the HNF1B gene, is important for optimal disease management and prognosis, and has implications for genetic counseling and follow-up of at-risk family members. In the present study, the hypothesis is that the functional characterization could provide valuable information to assist the interpretation of pathogenicity of HNF1B variants. Using different in vitro functional assays, seven variants were analyzed identified among 313 individuals suspected to have monogenic diabetes with or without kidney disease. The data from the functional assays were subsequently conjugated with obtained clinical, biochemical, and in silico data. Two variants (p.A167P, p.H336Pfs*22) showed severe loss-of-function due to impaired transactivation, reduced DNA binding (p.A167P), and mRNA instability (p.A167P). While both these variant carriers were diagnosed with diabetes, the p.H336Pfs*22 carrier also had congenital absence of a kidney, which is a characteristic HNF1B-MODY trait. Functional analysis of the p.A167P variant revealed damaging effects on HNF-1B protein function, which may warrant imaging of the kidneys and/or pancreas. In addition, the current study has generated important data, including evidence supporting the benign functional impact of five variants (p.D82N, p.T88A, p.N394D, p.V458G and p.T544A), and piloting new approaches that will prove critical for the growth of HNF1B-diabetes diagnosis.

Comparison of the optical coherence tomography-angiography (OCT-A) vascular measurements between molecularly confirmed MODY and age-matched healthy controls.

Previous structural, vascular density, and perfusion studies have mostly comprised type 1 and type 2 diabetes, even in the absence of retinopathy. The current study aimed to compare macular vessel density (VD) measurements between maturity-onset diabetes of the young (MODY) patients and controls. The macular VD of superficial, deep retina, and choriocapillaris (CC), and central macular thickness (CMT), foveal avascular zone (FAZ), FAZ perimetry, VD of the total retina at 300µm around the FAZ (FD), and acirculatory index (AI) measurements were taken and analyzed via OCT-A (RTVue XR 100-2 Avanti, AngioVue) and were compared between molecularly confirmed MODY (glucokinase (GCK) variants) patients and healthy controls. Twenty-five MODY patients and 30 healthy controls were included in the study. The mean plasma hemoglobin A1c level in the MODY group was 6.39 ± 0.38. The mean age was 13.8 ± 2.1 in the MODY group and was 12.6 ± 2.5years among controls. There was no significant difference in terms of the age, superficial and deep retinal VD, FAZ, FAZ perimetry, CMT, FD, or AI between the groups. Compared to the healthy controls, a slight but significant increase in the CC-VD was detected in the MODY group, but only in the parafoveal and perifoveal regions (p = 0.034, p = 0.009). The significant CC-VD increase in the MODY group might be associated with hyperglycemia and/or relatively poor and vulnerable peripheral vascular CC perfusion compared to the central. Previous thickness and VD results of childhood or adolescent diabetes were distributed in a wider range, suggesting that various factors, including some not yet clearly defined, may affect the choroidal vasculature independently of glycemia or as a contributing factor.

Epidemiology, Technology, and Professional Perspectives on Diabetes in the United Arab Emirate: A Focused Review

Abstract Introduction The United Arab Emirates (UAE), among the rest of the Arab Gulf countries, exhibits a high prevalence of diabetes, primarily type 2 diabetes (T2D). Methods We aimed to provide an overview of the epidemiology, complications, and quality of care, including the use of technology in diabetes care. Also, we wished to explore the challenges of diabetes management and future directions in clinical practice and research. This is a focused review of the literature of selected relevant themes to serve the above objectives of the work. Results Several epidemiological studies have documented the increased prevalence of diabetes in the native population and expatriates. The vast majority focused on T2D. The prevalence of diabetes in the UAE is estimated at 12.3% for the 20 to 79 age group. Although the high prevalence was recognized and acknowledged as a national priority, several challenges exist in standardizing care across the population. There are gaps in research about the nationwide prevalence of all forms of diabetes. Some research studies have evaluated the role of technology in diabetes care, genetic predilection to complications, and particular aspects such as diabetes during pregnancy, neonatal diabetes, monogenic diabetes, and cardiovascular risk in diabetes. UAE recently became a focal point for health-related Ramadan fasting research, including diabetes. Conclusion Diabetes in the UAE considerably burdens the health care system. A concerted effort is needed to adopt more uniformity of diabetes care and research nationwide. This should address the use of unified methods to document the nationwide burden, explore possible differences in various epidemiological phenomena, access to health care, and impact on outcomes, and evaluation of the cost-effectiveness of different models of care.

A New Tool to Identify Pediatric Patients with Atypical Diabetes Associated with Gene Polymorphisms.

Recent diabetes subclassifications have improved the differentiation between patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus despite several overlapping features, yet without considering genetic forms of diabetes. We sought to facilitate the identification of monogenic diabetes by creating a new tool that we validated in a pediatric maturity-onset diabetes of the young (MODY) cohort. We first created the DIAgnose MOnogenic DIAbetes (DIAMODIA) criteria based on the pre-existing, but incomplete, MODY calculator. This new score is composed of four strong and five weak criteria, with patients having to display at least one weak and one strong criterion. The effectiveness of the DIAMODIA criteria was evaluated in two patient cohorts, the first consisting of patients with confirmed MODY diabetes (n=34) and the second of patients with T1DM (n=390). These DIAMODIA criteria successfully detected 100% of MODY patients. Multiple correspondence analysis performed on the MODY and T1DM cohorts enabled us to differentiate MODY patients from T1DM. The three most relevant variables to distinguish a MODY from T1DM profile were: lower insulin-dose adjusted A1c score ≤9, glycemic target-adjusted A1c score ≤4.5, and absence of three anti-islet cell autoantibodies. We validated the DIAMODIA criteria, as it effectively identified all monogenic diabetes patients (MODY cohort) and succeeded to differentiate T1DM from MODY patients. The creation of this new and effective tool is likely to facilitate the characterization and therapeutic management of patients with atypical diabetes, and promptly referring them for genetic testing which would markedly improve clinical care and counseling, as well.

Insulin Secretion Defect in Children and Adolescents with Obesity: Clinical and Molecular Genetic Characterization.

Childhood obesity is increasing worldwide and presents as a global health issue due to multiple metabolic comorbidities. About 1% of adolescents with obesity develop type 2 diabetes (T2D); however, little is known about the genetic and pathophysiological background at young age. The objective of this study was to assess the prevalence of impaired glucose regulation (IGR) in a large cohort of children and adolescents with obesity and to characterize insulin sensitivity and insulin secretion. We also wanted to investigate adolescents with insulin secretion disorder more closely and analyze possible candidate genes of diabetes in a subcohort. We included children and adolescents with obesity who completed an oral glucose tolerance test (OGTT, glucose + insulin) in the outpatient clinic. We calculated Matsuda index, the area under the curve (AUC (Ins/Glu)), and an oral disposition index (ISSI-2) to estimate insulin resistance and beta-cell function. We identified patients with IGR and low insulin secretion (maximum insulin during OGTT < 200 mU/l) and tested a subgroup using next generation sequencing to identify possible mutations in 103 candidate genes. The total group consisted of 903 children and adolescents with obesity. 4.5% showed impaired fasting glucose, 9.4% impaired glucose tolerance, and 1.2% T2D. Matsuda index and Total AUC (Ins/Glu) showed a hyperbolic relationship. Out of 39 patients with low insulin secretion, we performed genetic testing on 12 patients. We found five monogenetic defects (ABCC8 (n = 3), GCK (n = 1), and GLI2/PTF1A (n = 1)). Using surrogate parameters of beta-cell function and insulin resistance can help identify patients with insulin secretion disorder. A prevalence of 40% mutations of known diabetes genes in the subgroup with low insulin secretion suggests that at least 1.7% of patients with adolescent obesity have monogenic diabetes. A successful molecular genetic diagnosis can help to improve individual therapy.

Effect of mutation at c.493T>C locus of transcription factor HNF1α gene on its protein level.

Hepatocyte nuclear factor 1α (HNF1α) is a transcription factor that is crucial for the regulation to maintain the function of pancreatic β-cell, hepatic lipid metabolism, and other processes. Mature-onset diabetes of the young type 3 is a monogenic form of diabetes caused by HNF1α mutations. Although several mutation sites have been reported, the specific mechanisms remain unclear, such hot-spot mutation as the P291fsinsC mutation and the P112L mutation and so on. In preliminary studies, we discovered one MODY3 patient carrying a mutation at the c.493T>C locus of the HNF1α gene. In this study, we analyzed the pathogenic of the mutation sites by using the Mutation Surveyor software and constructed the eukaryotic expression plasmids of the wild-type and mutant type of HNF1α to detect variations in the expression levels and stability of HNF1α protein by using Western blot. The analyses of the Mutation Surveyor software showed that the c.493T>C site mutation may be pathogenic gene and the results of Western blot showed that both the amount and stability of HNF1α protein expressed by the mutation type plasmid were reduced significantly compared to those by the wild type plasmid (P<0.05). This study suggests that the c.493T>C (p.Trp165Arg) mutation dramatically impacts HNF1α expression, which might be responsible for the development of the disease and offers fresh perspectives for the following in-depth exploration of MODY3's molecular pathogenic process.

Implementing genetic testing in diabetes: Knowledge, perceptions of healthcare professionals, and barriers in a developing country.

Maturity-Onset Diabetes of the Young (MODY) is an unusual type of diabetes often missed in clinical practice, especially in Africa. Treatment decisions for MODY depend on a precise diagnosis, only made by genetic testing. We aimed to determine MODY knowledge among Nigerian healthcare professionals (HCPs), their perceptions, and barriers to the implementation of genetic testing in diabetes patients. A cross-sectional survey was conducted among doctors and nurses in three levels of public and private healthcare institutions in Ibadan, Nigeria, from December 2018 to June 2019. In all, 70% and 30% of a total 415 participants were recruited from public and private centers, respectively. HCPs were recruited in a 60:40% ratio, respectively. A 51-item instrument was used to assess MODY knowledge, perceptions of HCPs, and barriers to the implementation of genetic testing in diabetes patients. In the survey, 43.4% self-rated their current MODY knowledge to be at least moderate. About 68%, 73% and 86%, respectively, correctly answered 3 of 5 questions on basic genetics' knowledge. However, only 1 of 7 MODY-specific questions was answered correctly by 72.7% of the respondents. The mean basic genetics and MODY-specific knowledge scores were 2.6/5 (SD=1.0) and 1.8/9 (SD=1.3), respectively. Multiple linear regression showed higher mean scores among those aged 30-49 years, those with degrees and fellowships (except PhD), and general practitioners; 360 (80.0%) perceived that genetic testing plays a central role in diabetes care. Barriers to genetic testing were lack of access to testing facilities, guidance on the use of and updates/educational materials on genetic testing (82.7%, 62.1% and 50.3%, respectively). The level of MODY awareness and knowledge among Nigerian HCPs is unacceptably low with a lack of access to genetic testing facilities. These can hinder the implementation of precision diabetes medicine. Increased awareness, provision of decision support aids, and genetic testing facilities are urgently needed.

Generation and characterization of an induced pluripotent stem cell (iPSC) line SDQLCHi063-A from peripheral blood mononuclear cells of a patient with Maturity-onset diabetes of the young type 2 carrying GCK exon 1 deletion

Maturity-onset diabetes of the young type 2 (MODY2) is an autosomal dominant disorder caused by mutations in the GCK gene. It is characterized by a non-progressive slight increase in glycosylated hemoglobin (HbA1c), and mildly raised fasting glucose. Here, we generated an induced pluripotent stem cell line SDQLCHi063-A from a five-year-old boy with MODY2 carrying exon 1 deletion of the GCK gene (OMIM*138079). The iPSC line carries original gene mutation, expresses pluripotency markers, has normal karyotype and differentiated spontaneously in the three germ layers.

MODY Probability Calculator Is Suitable for MODY Screening in China: A Population-based Study.

Selecting appropriate individuals for genetic testing is essential due to the optimal treatment for maturity-onset diabetes of the young (MODY). However, how to effectively screen for MODY in China remains unclear. To validate the performance of current screening strategies in selecting patients with MODY based on a nationwide type 2 diabetes cohort. A panel of 14 MODY genes was analyzed from 1911 type 2 diabetes patients who were ages 15 to 35 years. Variants were evaluated according to the American College of Medical Genetics and Genomics guidelines. Based on this cohort, we simulated the 2 most frequently used screening strategies, including the traditional MODY criteria and the MODY probability calculator (MPC), to assess their ability to select patients with MODY. From a total of 1911 participants, 42 participants harbored pathogenic/likely pathogenic variants. The performance of the traditional criteria was sensitivity: 19.0%, specificity: 72.9%, positive predictive value (PPV): 1.6%, and missing rate: 81.0%. The optimal cut-off for MPC was 40.7%. Based on this cut-off value, the performance was sensitivity: 54.8%, specificity: 81.0%, PPV: 6.1%, and missing rate: 45.2%. Moreover, hemoglobin A1c, insulin treatment, and family history of diabetes have poor discrimination between MODY and young-onset type 2 diabetes. The MPC is better than traditional criteria in terms of both sensitivity and PPV. To ensure more MODY patients benefit from optimal treatment, we therefore suggest that routine genetic testing be performed on all type 2 diabetes patients who are between the ages of 15 and35 years and have MPC probability value over 40.7%.

1H, 13C and 15N backbone resonance assignments of hepatocyte nuclear factor-1-beta (HNF1β) POUS and POUHD.

Hepatocyte nuclear factor 1β (HNF1β) is a transcription factor that plays a key role in the development and function of the liver, pancreas, and kidney. HNF1β plays a key role in early vertebrate development and the morphogenesis of these organs. In humans, heterozygous mutations in the HNF1B gene can result in organ dysplasia, making it the most common cause of developmental renal diseases, including renal cysts, renal malformations, and familial hypoplastic glomerular cystic kidney disease. Pathogenic variants in the HNF1B gene are known to cause various diseases, including maturity-onset diabetes of the young and developmental renal diseases. This study presents the backbone resonance assignments of HNF1β POUS and POUHD domains, which are highly conserved domains required for the recognition of double-stranded DNA. Our data will be useful for NMR studies to verify the altered structures and functions of mutant HNF1B proteins that can induce developmental renal diseases, including renal cysts, renal malformations, and familial hypoplastic glomerular cystic kidney disease. This study will provide the structural basis for future studies to elucidate the molecular mechanisms underlying how mutations in HNF1β cause diseases.

Functional characterization of HNF4A gene variants identify promoter and cell line specific transactivation effects.

Hepatocyte nuclear factor-4 alpha (HNF-4A) regulates genes with roles in glucose metabolism and β-cell development. Although pathogenic HNF4A variants are commonly associated with maturity-onset diabetes of the young (MODY1; HNF4A-MODY), rare phenotypes also include hyperinsulinemic hypoglycemia, renal Fanconi syndrome and liver disease. While the association of rare functionally damaging HNF1A variants with HNF1A-MODY and type 2 diabetes is well established owing to robust functional assays, the impact of HNF4A variants on HNF-4A transactivation in tissues including the liver and kidney is less known, due to lack of similar assays. Our aim was to investigate the functional effects of seven HNF4A variants, located in the HNF-4A DNA binding domain and associated with different clinical phenotypes, by various functional assays and cell lines (transactivation, DNA binding, protein expression, nuclear localization) and in silico protein structure analyses. Variants R85W, S87N and R89W demonstrated reduced DNA binding to the consensus HNF-4A binding elements in the HNF1A promoter (35, 13 and 9%, respectively) and the G6PC promoter (R85W ~10%). While reduced transactivation on the G6PC promoter in HepG2 cells was shown for S87N (33%), R89W (65%) and R136W (35%), increased transactivation by R85W and R85Q was confirmed using several combinations of target promoters and cell lines. R89W showed reduced nuclear levels. In silico analyses supported variant induced structural impact. Our study indicates that cell line specific functional investigations are important to better understand HNF4A-MODY genotype-phenotype correlations, as our data supports ACMG/AMP interpretations of loss-of-function variants and propose assay-specific HNF4A control variants for future functional investigations.

IDF23-0114 Dyslipidemia in young patients with type 2 diabetes and maturity onset diabetes of the young: an observational study

IDF23-0114 Dyslipidemia in young patients with type 2 diabetes and maturity onset diabetes of the young: an observational study

Abstract B030: DNA methylation profiling identifies subset of low-grade endometrial neoplasms with poor response to progestin therapy

Abstract Purpose: We aimed to investigate the DNA methylation profile of low-grade endometrial neoplasms before and after progestin therapy. Methods: This is a retrospective cohort of patients with endometrial intraepithelial neoplasia/atypical hyperplasia (EIN/AH) and grade 1 endometrial endometrioid carcinoma (EEC) treated with progestin therapy. DNA was extracted from 24 formalin-fixed paraffin-embedded (FFPE) tumors before and 19 tumors after progestin therapy (median interval between specimens: 12.1 months). Methylation profiling was performed using the Illumina Infinium Methylation EPIC array. Laser-capture microdissection was used to enrich samples with low tumor content. Results: Twenty-four patients with a median age of 38 years were included. Majority of patients were nulligravid (58%), and self-identified as non-Hispanic (83%) and white (42%). Ten patients had a diagnosis of EIN/AH, while 14 were grade 1 EEC. Ten cases showed complete response, 7 partial responses, 8 showed no response between the pre- and post-treatment samples. Ten patients had regression of disease on follow-up, while 9 showed persistent tumor. In 5 patients, clinical outcome could not be assessed due to short time of exposure (&amp;lt;6 months). Unsupervised clustering based on top 3,000 differentially methylated sites (DMS) in 24 pre-treated tumors identified 2 different groups. Cluster 1 (n= 11) was composed of significantly older patients (p=0.047; median age: 39 vs 37 years) and more likely to have EEC on histologic examination (p=0.016; 100% vs 54%). Tumors in Cluster 1 were more likely to show absence of pathologic response following progestin therapy (p= 0.038; 55% vs 8%). Although no statistical significance was reached regarding clinical outcome (p=0.2), patients in Cluster 1 showed regression of disease in only 29% of cases (2/7), while in Cluster 2, 67% of patients showed regression of tumor (8/12). There was no difference regarding gravidity, race/ethnicity, body mass index, type of progestin, and follow-up time. KEGG pathways analysis revealed that the most significantly different pathways between the 2 clusters were: maturity onset diabetes of young, neuroactive ligand-receptor interaction, and signaling pathways regulating pluripotency of stem cells. Pairwise differential DNA methylation analysis between 15 pairs of pre- and post-treatment samples that passed quality control showed a hypermethylation effect of progestin therapy in the majority of DMS, including sites in open sea, northern and southern shores and shelves. Although there were sites in CpG islands with a hypermethylation pattern after treatment, progestin therapy had a predominantly hypomethylation effect on CpG islands. The gene set enrichment based on DMS showed significant change in genes mostly related to cell-cell adhesion following progestin therapy. Conclusion: DNA methylation profiling identifies a subset of EIN/AH and grade 1 EEC with poor response to progestin therapy. The methylation landscape of these low-grade neoplasms undergoes changes after progestin treatment. Citation Format: Lawrence H. Lin, Kyriaki Founta, Nyasha Chambwe, Deborah F. DeLair. DNA methylation profiling identifies subset of low-grade endometrial neoplasms with poor response to progestin therapy [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr B030.

Monogenic diabetes.

Diseases in which genetic factors contribute to nearly 100% of the causation by single-gene mutations are referred to as monogenic disorders or Mendelian genetic diseases. These include neonatal diabetes mellitus (NDM), presenting within the first six months of life, maturity-onset diabetes of the young (MODY), developing later in childhood or adolescence, mitochondrial diabetes (MIDD), and insulin-resistant disorders, etc. On the other hand, common lifestyle-related diseases such as type 2 diabetes (T2DM), hypertension and dyslipidemia are multifactorial, emerging through complex interplay of genetic and environmental factors. The identification of causative genes for diabetes resulting from single-gene abnormalities not only unveils previously unknown mechanisms of insulin secretion and sensitivity at the molecular level but also reveals novel targets for drug development. Moreover, monogenic diabetes in which insulin secretion is impaired serve to clarify the pathophysiology and suggest therapeutic targets for the common multifactorial type 2 diabetes mellitus prevalent in the Japanese population, which is characterized by impaired insulin secretion. In this study, we characterize the various monogenic subtypes of diabetes so far identified.

The first case of hyperosmolar diabetic ketoacidosis in a patient diagnosed with MODY 5 (maturity-onset diabetes of the young type 5) and 17q12 microdeletion syndrome.

The first case of hyperosmolar diabetic ketoacidosis in a patient diagnosed with MODY 5 (maturity-onset diabetes of the young type 5) and 17q12 microdeletion syndrome.

Identification and validation of NAD+ metabolism-related biomarkers in patients with diabetic peripheral neuropathy.

The mechanism of Nicotinamide Adenine Dinucleotide (NAD+) metabolism-related genes (NMRGs) in diabetic peripheral neuropathy (DPN) is unclear. This study aimed to find new NMRGs biomarkers in DPN. DPN related datasets GSE95849 and GSE185011 were acquired from the Gene Expression Omnibus (GEO) database. 51 NMRGs were collected from a previous article. To explore NMRGs expression in DPN and control samples, differential expression analysis was completed in GSE95849 to obtain differentially expressed genes (DEGs), and the intersection of DEGs and NMRGs was regarded as DE-NMRGs. Next, a protein-protein interaction (PPI) network based on DE-NMRGs was constructed and biomarkers were screened by eight algorithms. Additionally, Gene Set Enrichment Analysis (GSEA) enrichment analysis was completed, biomarker-based column line graphs were constructed, lncRNA-miRNA-mRNA and competing endogenouse (ce) RNA networks were constructed, and drug prediction was completed. Finally, biomarkers expression validation was completed in GSE95849 and GSE185011. 5217 DEGs were obtained from GSE95849 and 21 overlapping genes of DEGs and NMRGs were DE-NMRGs. Functional enrichment analysis revealed that DE-NMRGs were associated with glycosyl compound metabolic process. The PPI network contained 93 protein-interaction pairs and 21 nodes, with strong interactions between NMNAT1 and NAMPT, NADK and NMNAT3, ENPP3 and NUDT12 as biomarkers based on 8 algorithms. Expression validation suggested that ENPP3 and NUDT12 were upregulated in DPN samples (P < 0.05). Moreover, an alignment diagram with good diagnostic efficacy based on ENPP3 and NUDT12 were identified was constructed. GSEA suggested that ENPP3 was enriched in Toll like receptor (TLR) pathway, NUDT12 was enriched in maturity onset diabetes of the young and insulin pathway. Furthermore, 18 potential miRNAs and 36 Transcription factors (TFs) were predicted and the miRNA-mRNA-TF networks were constructed, suggesting that ENPP3 might regulate hsa-miR-34a-5p by affecting MYNN. The ceRNA network suggested that XLOC_013024 might regulate hsa-let-7b-5p by affecting NUDT12. 15 drugs were predicted, with 8 drugs affecting NUDT12 such as resveratrol, and 13 drugs affecting ENPP3 such as troglitazone. ENPP3 and NUDT12 might play key roles in DPN, which provides reference for further research on DPN.

Whole-exome sequencing in familial type 2 diabetes identifies an atypical missense variant in the RyR2 gene.

Genome-wide association studies have identified several hundred loci associated with type 2 diabetes mellitus (T2DM). Additionally, pathogenic variants in several genes are known to cause monogenic diabetes that overlaps clinically with T2DM. Whole-exome sequencing of related individuals with T2DM is a powerful approach to identify novel high-penetrance disease variants in coding regions of the genome. We performed whole-exome sequencing on four related individuals with T2DM - including one individual diagnosed at the age of 33 years. The individuals were negative for mutations in monogenic diabetes genes, had a strong family history of T2DM, and presented with several characteristics of metabolic syndrome. A missense variant (p.N2291D) in the type 2 ryanodine receptor (RyR2) gene was one of eight rare coding variants shared by all individuals. The variant was absent in large population databases and affects a highly conserved amino acid located in a mutational hotspot for pathogenic variants in Catecholaminergic polymorphic ventricular tachycardia (CPVT). Electrocardiogram data did not reveal any cardiac abnormalities except a lower-than-normal resting heart rate (< 60 bpm) in two individuals - a phenotype observed in CPVT individuals with RyR2 mutations. RyR2-mediated Ca2+ release contributes to glucose-mediated insulin secretion and pathogenic RyR2 mutations cause glucose intolerance in humans and mice. Analysis of glucose tolerance testing data revealed that missense mutations in a CPVT mutation hotspot region - overlapping the p.N2291D variant - are associated with complete penetrance for glucose intolerance. In conclusion, we have identified an atypical missense variant in the RyR2 gene that co-segregates with diabetes in the absence of overt CPVT.

Assessment of pathogenicity and functional characterization of APPL1 gene mutations in diabetic patients.

Adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 1 (APPL1) plays a crucial role in regulating insulin signaling and glucose metabolism. Mutations in the APPL1 gene have been associated with the development of maturity-onset diabetes of the young type 14 (MODY14). Currently, only two mutations [c.1655T>A (p.Leu552*) and c.281G>A p.(Asp94Asn)] have been identified in association with this disease. Given the limited understanding of MODY14, it is imperative to identify additional cases and carry out comprehensive research on MODY14 and APPL1 mutations. To assess the pathogenicity of APPL1 gene mutations in diabetic patients and to characterize the functional role of the APPL1 domain. Patients exhibiting clinical signs and a medical history suggestive of MODY were screened for the study. Whole exome sequencing was performed on the patients as well as their family members. The pathogenicity of the identified APPL1 variants was predicted on the basis of bioinformatics analysis. In addition, the pathogenicity of the novel APPL1 variant was preliminarily evaluated through in vitro functional experiments. Finally, the impact of these variants on APPL1 protein expression and the insulin pathway were assessed, and the potential mechanism underlying the interaction between the APPL1 protein and the insulin receptor was further explored. A total of five novel mutations were identified, including four missense mutations (Asp632Tyr, Arg633His, Arg532Gln, and Ile642Met) and one intronic mutation (1153-16A>T). Pathogenicity prediction analysis revealed that the Arg532Gln was pathogenic across all predictions. The Asp632Tyr and Arg633His variants also had pathogenicity based on MutationTaster. In addition, multiple alignment of amino acid sequences showed that the Arg532Gln, Asp632Tyr, and Arg633His variants were conserved across different species. Moreover, in in vitro functional experiments, both the c.1894G>T (at Asp632Tyr) and c.1595G>A (at Arg532Gln) mutations were found to downregulate the expression of APPL1 on both protein and mRNA levels, indicating their pathogenic nature. Therefore, based on the patient's clinical and family history, combined with the results from bioinformatics analysis and functional experiment, the c.1894G>T (at Asp632Tyr) and c.1595G>A (at Arg532Gln) mutations were classified as pathogenic mutations. Importantly, all these mutations were located within the phosphotyrosine-binding domain of APPL1, which plays a critical role in the insulin sensitization effect. This study provided new insights into the pathogenicity of APPL1 gene mutations in diabetes and revealed a potential target for the diagnosis and treatment of the disease.

Life and maladies in the grey area between the up &amp; down regulation of GATA6: Uncharted spots of beta-pancreatic islet cells

Death and dysfunctionality of pancreatic islet beta-cells are a centric key element in the pathogenesis of type 2 diabetes mellitus (T2DM). Saturated fatty acids are commonly circulated in diabetic and obese individuals. Elevated and chronic exposure to fatty acids has a pernicious influence on islet cells’ functionality and survival due to its capability to induce apoptosis and endoplasmic reticulum (ER) stress. However, T2DM is a heterogeneous disorder that includes genetic and environmental factors in conjunction with dyslipidaemia with a considerably high rate of morbidity and mortality. There are many genes involved in the pathogenesis that remain to be charted. Here, we show a comprehensive interrogation of GATA6 based on previously published gene expression data on the basis of stating its validity via bioinformatics analysis and reaching a new understanding. Various datasets with different patient cohorts were compared and contrasted. Gene ontology and predictive pathway analysis (e.g., Kyoto Encyclopaedia of Genes and Genomes pathway; KEGG) were used to explore interactions of numerous differentially expressed genes. Protein-protein interactions network through the STRING database has appreciated a list of key genes. GATA6 interacted with genes from pathways that were significantly enriched (FDR&amp;#60;0.05) in the analysis of the KEGG pathway suggesting its close involvement, for example, 'maturity-onset diabetes of the young pathway’ and ‘pathways in cancer’. The most obvious finding to emerge from this study is that GATA6 plays an intrinsic role in islet beta cell differentiation and survival, and bioinformatics analysis allows the introduction of potentially reliable biomarkers that interact with GATA6, which required further validation studies.

A50 PRODUCTION OF A PANCREATIC AND INTESTINAL HEPATOCYTE NUCLEAR FACTOR 4A DOUBLE KNOCKOUT MOUSE MODEL TO UNRAVEL NEW MECHANISMS CONTROLLING METABOLISM

Abstract Background Hepatocyte nuclear factor (HNF) 4A is a transcription factor mainly found within endodermal organs, including the intestine and pancreas. HNF4A controls the expression of genes associated with glucose transit, glycolytic enzymes, lipid and drug metabolism, and incretin production from intestinal enteroendocrine cells. Mutations within this are linked to various diseases, including maturity-onset diabetes of the young and increased risk of Type 2 diabetes mellitus. However, it remains unclear whether intestinal and pancreatic HNF4A is functionally involved in glucose metabolism. This could be partly due to the lack of suitable experimental model that allow recreating phenotypes associated with hnf4a lost in two key organs involved in controlling body glucose levels. Aims To generate a conditionally mutant mouse line that does not express HNF4A in the intestine or the pancreas and to investigate how glucose metabolism is affected in these mice. Methods Conditional deletion in each organ was achieved by mating VillinCre or InsCreER with Hnf4αloxP/loxP C57BL/6 mice, respectively. The mutant mouse line was then generated by crossing mice Hnf4αloxP/loxP+VillinCre and Hnf4αloxP/loxP+InsCreER. PCR was performed to confirm all genotypes. Male and female mice around 2-3 months were distributed in four groups, including controls, Hnf4α-deleted intestine only, Hnf4α-deleted pancreas only, and Hnf4α-deleted in both organs. HNF4A expression was measured by qPCR, immunoblot and immunofluorescence. Glucose metabolism tests, including oral glucose tolerance (2g/kg) and insulin tolerance (0.75 International Units/kg) were performed. The blood glucose levels were measured after overnight fasting at 15, 30, 60, and 120 min. Results The body weight of four groups of mice remained comparable over experimental time. HNF4A expression was not detected from double mutant mice’s gut epithelial or pancreatic β cells. The oral glucose challenge showed a difference among the group of experimental mice as compared to the control group. After 15 min, blood glucose values of double mutant mice remained higher than control mice, for which glucose clearance was less efficient in the mutants. Insulin tolerance tests demonstrated that double mutant mice behave differently than control mice, suggesting a defect in insulin response. Conclusions These promising preliminary results allow us to obtain and characterize a novel murine model to study glucose metabolic syndrome that could be related to hnf4a gene deletion in both the gut and pancreas. Further studies are needed to establish a mechanism by which the HNF4A transcription factor could interplay between the intestine and the pancreas during whole-body glucose metabolism. Funding Agencies CIHRBourses d’excellence de l'Université de Sherbrooke