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REVIEW article

Front. Endocrinol., 20 January 2025
Sec. Diabetes: Molecular Mechanisms

Current views on etiology, diagnosis, epidemiology and gene therapy of maturity onset diabetes in the young

Lilya U. Dzhemileva*Lilya U. Dzhemileva*Elena N. ZakharovaElena N. ZakharovaAnna O. GoncharenkoAnna O. GoncharenkoMaria V. VorontsovaMaria V. VorontsovaS. A. RumyantsevS. A. RumyantsevNatalia G. MokryshevaNatalia G. MokryshevaMarina Y. LoguinovaMarina Y. LoguinovaVladimir P. ChekhoninVladimir P. Chekhonin
  • Endocrinology Research Centre, Moscow, Russia

MODY, or maturity-onset diabetes of the young, is a group of monogenic diseases characterized by autosomal dominant inheritance of a non-insulin-dependent form of diabetes that classically manifests in adolescence or in young adults under 25 years of age. MODY is a rare cause of diabetes, accounting for 1% of all cases, and is often misdiagnosed as type 1 or type 2 diabetes. It is of great importance to accurately diagnose MODY, as this allows for the most appropriate treatment of patients and facilitates early diagnosis for them and their families. This disease has a high degree of phenotypic and genetic polymorphism. The most prevalent forms of the disease are attributed to mutations in three genes: GCK (MODY 2) and (HNF)1A/4A (MODY 3 and MODY 1). The remaining MODY subtypes, which are less prevalent, have been identified by next generation sequencing (NGS) in the last decade. Mutations in the GCK gene result in asymptomatic, stable fasting hyperglycemia, which does not require specific treatment. Mutations in the HNF1A and HNF4A genes result in pancreatic β-cell dysfunction, which in turn causes hyperglycemia. This often leads to diabetic angiopathy. The most commonly prescribed drugs for the treatment of hyperglycemia are sulfonylurea derivatives. Nevertheless, with advancing age, some patients may require insulin therapy due to the development of resistance to sulfonylurea drugs. The strategy of gene therapy for monogenic forms of MODY is still an experimental approach, and it is unlikely to be widely used in the clinic due to the peculiarities of MODY structure and the high genetic polymorphism and clinical variability even within the same form of the disease. Furthermore, there is a lack of clear gene-phenotypic correlations, and there is quite satisfactory curability in the majority of patients. This review presents the main clinical and genetic characteristics and mutation spectrum of common and rarer forms of MODY, with a detailed analysis of the field of application of AVV vectors in the correction of hyperglycemia and insulin resistance.

Introduction

Maturity-onset diabetes of the young (MODY), a historical term for some forms of monogenic diabetes, is a group of inherited non-autoimmune (antibody-negative) diabetes mellitus disorders that manifest at a young age. The prevalence is estimated to be 1/10,000 in adults and 1/23,000 in children, although the prevalence of MODY in different ethnic and racial groups may be underestimated (13) as studies to date have been conducted primarily in European populations (4).

This “maturity-onset diabetes of the young” (MODY) is in stark contrast to the main form of insulin-dependent diabetes in young adults, which is predominantly sporadic (5). The diagnosis of MODY is typically made at a young age (i.e., under 25 years of age) when there is a paucity of autoantibodies to pancreatic islet cells, a low insulin requirement, a family history of autosomal dominant diabetes, and the absence of a history of obesity or diabetic ketoacidosis (DKA) (6). It has since been established that some patients diagnosed with MODY have a history of DKA, a positive result for pancreatic antibodies, and no family history indicating a history of diabetes in relatives (7). The aforementioned factors contribute to the emergence of specific challenges in the process of diagnosis. In the absence of a known molecular cause, MODY is often classified as a subtype of type 2 diabetes. However, since most cases of MODY currently have an inherited etiology involving defects in genes expressed in the beta cells of the pancreatic islet apparatus, MODY is best classified as a form of “another specific type of diabetes - genetic defects in beta cell function” (Figure 1) (8). In most populations, the prevalence of MODY is approximately 5% of patients with type 2 diabetes (9). If we analyze in detail families from European and Asian populations with MODY diagnosis, family history and absence of mutations at known loci of different forms of this diabetes, their number ranges from 15 to 20% in European families with clinical MODY and up to 80% of familial cases in Japanese people (10). Additionally, MODY is disproportionately prevalent among the Black American population. In a study of families with atypical forms of diabetes manifesting in childhood, molecular genetic testing identified MODY in nearly 75% of families. Autoantibodies to islet cells were not identified in any of the patients or their relatives examined. Additionally, HLA-DR3 and HLA-DR4 major histocompatibility complex (MHC) allele frequencies, which are known to be associated with diabetes, were not detected in probands or siblings. Furthermore, diabetes did not cosegregate with HLA haplotypes in informative families (11).

Figure 1
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Figure 1. The involvement of specific genes in glucose homeostasis and the normal functioning of organs that regulate carbohydrate and lipid metabolism can result in damage that may manifest in various forms of MODY (Supplementary Table S1).

GCK-MODY(MODY2) and HNF1A-MODY(MODY3) are the two most common forms of the disease, accounting for more than 80% of patients with MODY from European populations (12, 13), whereas 80% of Japanese and Chinese patients with MODY do not have lesions in known MODY genes. In the literature, such forms of diabetes mellitus without an identified genetic cause are referred to as MODYX. It is likely that most Chinese and Japanese patients with MODY have defects in as yet unknown genes, and these forms of the disease appear to be characterized by higher insulin resistance (14, 15).

The GCK-MODY(MODY2) and HNF1A-MODY(MODY3) forms, each accounting for approximately 30% to 60% of all MODY forms, have a similar prevalence of approximately 1:1000 individuals (16); however, among all causes of MODY, the prevalence of GCK-MODY is slightly higher in some populations in the United States, Germany, Italy, France, and Spain (17).

To date, more than 20 genetic variants of monogenic MODY phenotypes have been identified, and a treatment strategy with insulin or its combination with glucose-lowering drugs from the sulfonylurea group has been defined for most forms (Supplementary Table S1).

Monogenic forms of diabetes are usually named after a gene, such as HNF1A (or HNF1A-MODY) diabetes. Some of these names are updated as new variants of the disease are discovered. The phenotypic diversity of monogenic forms of the disease highlights the high genetic polymorphism and clinical variability of MODY. An important issue is the significant genetic heterogeneity within each form of the disease. This means that there are many nucleotide sequence variants identified by GWAS and registered in the Human Gene Mutation Database (HGMD) as pathogenic, but present in the Exome Aggregation Consortium (ExAC) Genome Aggregation Database (gnomAD) at population frequencies in healthy human populations, raising many questions about their significance in disease pathogenesis as well as their persistence in the population under selection pressure during evolution. Despite their classification as orphan diseases, monogenic forms of diabetes (MODY) exhibit a high degree of similarity with type I and type II diabetes in terms of clinical presentation, diagnosis, gene therapy prospects, and diagnostic procedures. This review article explores the implications of these similarities and their relevance to clinical practice.

MODY forms

It can be observed that the pathophysiologic mechanisms underlying both MODY-HNF4A and MODY-HNF1A, caused by mutations in the HNF1A and HNF4A transcription factor genes, are remarkably similar. This is due to the fact that HNF4A regulates expression of HNF1A (18). Patients with HNF4A or HNF1A mutations are thought to have significantly higher plasma glucose concentrations 2 hours after glucose administration than individuals with damage to the glucokinase (MODY-2) gene (19). Hyperglycemia in patients with MODY1 and MODY3 tends to increase over time, resulting in the need for treatment with oral hypoglycemic agents or insulin. Approximately 30-40% of patients require insulin (20). Both MODY1 and MODY3 are associated with a progressive decline in insulin secretion. The most frequent cause of MODY in patients from European populations is damage to the HNF1A gene. Patients with MODY1 or MODY3 can have the full spectrum of diabetes complications: microvascular complications, often in the form of retinal angiopathy or nephropathy. Moreover, the incidence of these complications in these patients is comparable to that of similar complications in patients with type 1 or type 2 diabetes mellitus, and is also dependent on glycemic control (21). Patients with the MODY1 form of diabetes have a loss of glucose priming effect, expressed as mild hyperglycemia on insulin secretion. Both population individuals and patients with diabetes manifestations carrying mutations in the HNF4A gene also secrete reduced amounts of insulin in response to glucose and arginine challenge, and have impaired glucagon secretion in response to arginine challenge (22). In addition, a defect in hypoglycemia-induced pancreatic polypeptide secretion was found in individuals with mutations in the HNF4A gene. These data suggest that HNF4A protein deficiency resulting from mutations in this gene may affect the function of beta, alpha, and polypeptide cells in the pancreatic islet apparatus (23, 24). Patients with HNF1A gene dysfunction often have decreased renal glucose absorption and glucosuria. HNF4A deficiency affects triglyceride and apolipoprotein biosynthesis and is associated with a 50% decrease in serum triglyceride concentrations and a 25% decrease in serum apolipoprotein concentrations (25). Most patients with MODY1 and MODY3 diabetes have a reduced and delayed secretory response to glucose. Such a secretory response to glucose is also found in many patients with advanced insulin-dependent diabetes mellitus (IDDM) in the absence of islet cell antibodies (10, 26). In rarer other forms of MODY patients have a “hyperinsulinemic” response to glucose, which is seen in most patients with insulin-independent forms of diabetes early in the natural history of the disease (10, 27, 28). Patients with MODY1 have characteristic changes in the insulin secretory response to glucose, i.e., these patients are characterized by beta cell dysfunction, which differs from the clinical picture of MODY patients with glucokinase gene damage (MODY2) (Figure 2). Recently, approximately 1 in 5 rare protein-coding nucleotide variants of the HNF1A gene in the general population were found to cause a molecular gain of function (GOF) of this protein. These variants increase HNF1A transcriptional activity by up to 50% and provide a protective effect against type 2 diabetes. A meta-analysis of 12 studies revealed a significant association between HNF1A GOF and a reduced likelihood of developing type 2 diabetes (odds ratio [OR] = 0.77, p = 0.007). Increased HNF1A expression in the liver contributes to a proatherogenic serum profile, which is in part mediated by enhanced transcription of risky genotypes in the ANGPTL3 and PCSK9 genes. Consequently, approximately one in 300 people are carriers of a nucleotide sequence variant of the HNF1A gene, which protects the carriers from developing diabetes mellitus. However, it enhances hepatic secretion of atherogenic lipoproteins, thereby increasing the risk of developing non-alcoholic fatty liver disease (NAFLD) (29).

Figure 2
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Figure 2. Signalling pathways in pancreatic and peripancreatic cells whose abnormalities cause diabetes of the young at maturity (MODY). 1. The influx of glucose to the β-cell through GLUT-2 facilitates the transition of glucose to glucose-6-phosphate by GCK enzyme. This results in increased ATP production in mitochondria after the entry of G6P to the Krebs cycle. The subsequent closure of ATP-sensitive potassium channels and opening of voltage-gated calcium channels permit the release of insulin from the β cell. 2. The regulation of gene expression within the nucleus is depicted by the arrows. These indicate that a specific gene is regulated by the corresponding transcription factor (TF) in mature beta cells. Additionally, the arrows illustrate that a given protein has a binding site for the corresponding TF and/or is regulated by it at some point during pancreatic development. 3. The synthesis of insulin occurs within the cytosol, where preproinsulin is produced. Subsequently, the signal peptide is cleaved by endopeptidases within the endoplasmic reticulum (ER) during the processing of preproinsulin. The final stages of proinsulin processing occur in the Golgi apparatus, including the formation of the final vesicle, the release of C-peptide from insulin within the Golgi apparatus and within the vesicles, and exocytosis. 4. The illustration depicts the binding sites of the insulin promoter to MODY-related transcription factors. The mutations in question are those that occur in the promoter region of the INS gene, which prevent transcription factors from binding to cis-elements. Another category of mutation is that which occurs in the start codon, which abolishes translation. Finally, changes in the non-translated regions of mRNA have been observed, which increase the sensitivity of the molecule to RNA degradation. MODY-related transcription factors (PDX1, NEUROD1, HNF1a, HNF4a, HNF1b, and RFX6) play a pivotal role in pancreatic development, B-cell identification, and mature B-cell function. 5. Adiponectin (Ad) binding to the extracellular COOH terminus of adiponectin receptor 1 (AdipoR1) recruits APPL1 to the intracellular NH2 terminus of AdipoR1 and activation of AMPK, p38 MAPK, and Rab5. Binding of adiponectin to AdipoR1 stimulates glucose transporter 4 (GLUT4) translocation and glucose uptake through phosphorylated AMPK, phosphorylated p38 MAPK, and Rab5. 6. Serine phosphorylation of insulin receptor substrate (IRS) proteins has been demonstrated to enhance tyrosine phosphorylation and insulin signalling, thereby activating Akt and facilitating glucose uptake. 7.The binding of adiponectin to its receptor results in the activation of AMPK, which, in turn, activates tuberous sclerosis complex 2 (TSC2). Upon activation, TSC2, in conjunction with TSC1, inhibits the activity of Ras homology enriched in brain (Rheb), thereby suppressing the activity of mammalian target of rapamycin (mTOR) and S6 kinase (S6K). The inhibition of S6K by adiponectin enhances the ability of insulin to stimulate IRS-1 tyrosine phosphorylation, which in turn leads to Akt phosphorylation and subsequent activation of the insulin signalling pathway (20, 9499).

Glucokinase-related MODY2 is a common form of the disease, particularly in children with mild hyperglycemia and in women with gestational diabetes and a family history of diabetes. It has been described in people of all races and ethnicities (21, 30). To date, more than 130 MODY-2-associated mutations have been found in the glucokinase gene according to the OMIM database (31). Heterozygous glucokinase mutations are associated with a mild form of non-progressive hyperglycemia that is usually asymptomatic at the time of diagnosis and is treated with diet alone. Fasting hyperglycemia with blood glucose concentrations of 110 to 145 mg/dL and markedly impaired glucose tolerance in most affected carriers is easily detected almost immediately after birth. About 50% of female carriers have gestational diabetes during pregnancy. In addition, almost 50% of glucokinase gene mutation carriers are obese in old age. About 2% of patients with MODY2 require insulin therapy. Diabetes-related complications are rare in this form of MODY. MODY-2 is quite common in France - mutations in the GCK gene account for 56% of MODY diabetes families (32). The remaining forms are quite rare. This is especially true when analyzing familial cases of type II DM (Supplementary Table S1). MODY forms are arranged in the table according to their frequency of occurrence in European populations.

While a considerable amount of research has been conducted on the most prevalent MODY subtypes (MODY-1, 2, 3, and 5), the lesser-studied MODY subtypes (MODY4, 6-14) remain relatively under-researched (31, 33). The advent of next-generation sequencing (NGS) has led to the emergence of several reports of rare MODY subtypes being identified across the globe. Notably, INS-(MODY10) and ABCC8-(MODY12) mutations have been documented at relatively higher frequencies compared to other rare subtypes (34). The clinical characteristics of the rare MODY subtypes exhibited considerable clinical and genetic heterogeneity between families of MODY patients. The rarer MODY subtypes have been associated with obesity and diabetic ketoacidosis, which present a diagnostic challenge due to the rarity of these symptoms in MODY and the absence of previous descriptions of such symptoms in the clinical characteristics of frequent MODY forms. The occurrence of microvascular and macrovascular complications has been documented to a lesser extent in patients with different MODY subtypes (35). A recent hypothesis suggests that not all 14 MODY forms are true MODYs. Furthermore, the existence of some of these rarer subtypes has been called into question (Supplementary Table S1).

Difficulties in diagnosing MODY

The prevalence of MODY is estimated to be between 1 and 6% of all cases of diabetes. The aforementioned data are based on the most extensively studied European populations and patient groups, which were collected according to defined selection criteria in order to identify patients for genetic testing (3639). However, this value is likely to be an underestimate, as it is known from the literature that approximately 50 to 80% of MODY cases are misdiagnosed as type 1 (DM1) or type 2 (DM2) diabetes (13). Furthermore, it is not uncommon for individuals to be diagnosed with diabetes for several years before a definitive genetic diagnosis of MODY is made. Furthermore, there is a paucity of clear guidelines for screening the various forms of MODY. The decision to perform genetic testing is primarily based on the endocrinologist’s clinical judgement and is not always mandatory. Conversely, the considerable clinical heterogeneity of different MODY forms and the similarity of type I and type II diabetes mellitus features in the clinical picture of MODY render the development of a diagnostic algorithm that would be both universal enough to detect the majority of MODY cases and specific enough to avoid the unnecessarily frequent genetic testing that may lead to an erroneous increase in the diagnosis of MODY due to the detection of polymorphic variants with questionable pathogenicity in the genes of this disease a challenging endeavour (38, 40, 41). The early neonatal period, insulin independence, and autosomal dominant inheritance are traditional features of MODY (42). The age of onset is the primary distinguishing feature of MODY, which allows it to be differentiated from other forms of diabetes. Nevertheless, MODY subtypes exhibiting disparate manifestation patterns, variable penetrance, or the presence of atypical symptoms in certain instances may not fully align with the conventional diagnostic criteria (43, 44). Furthermore, in a study involving 922 families referred for MODY testing, spontaneous de novo mutations affecting the GCK, HNF1A, or HNF4A genes were reported in 11 of 150 individuals who did not have autosomal dominant inheritance of diabetes or a multigenerational family history of hyperglycemia (45). A clarification of the classical diagnostic triad may significantly enhance clinical suspicion of MODY and facilitate the selection and referral of patients with suspected genetic testing (46). The diagnostic criteria for MODY have been refined to include persistent hyperglycemia in early adulthood (usually before age 30 years), clinical features inconsistent with type 1 or type 2 diabetes mellitus (DM1, DM2), diabetes in at least one first-degree relative, evidence of residual pancreatic function, and the absence of autoimmunity to beta cells. At present, there is no concise or standardized diagnostic algorithm for MODY (43). In order to address this issue, a systematic approach to diagnosing common MODY subtypes is presented in Supplementary Table S1. In general, the diagnosis of MODY requires a high degree of vigilance, clinical evaluation, diabetes-specific tests, and comprehensive genetic testing (4).

Clinical evaluation and comprehensive genetic testing are employed to distinguish MODY from other types of diabetes mellitus, determine specific treatment, identify MODY mutations in family members with hyperglycemia, and reduce the risk of complications in asymptomatic family members (47). In the event that genetic testing fails to identify one of the common MODY subtypes, comprehensive genomic testing (chromosomal microarray analysis or exome sequencing) can be employed to diagnose rare pathogenic subtypes (48), characterize whole gene deletion breakpoints (49), and identify MODY in patients with clinical features suggestive of adjacent gene deletion syndrome (50, 51). The primary challenges associated with MODY can be categorized into two main areas. Firstly, the absence of specific biochemical markers in clinical practice hinders the identification of patients with MODY and the confirmation of a diagnosis of MODY with high accuracy, rather than type 2 diabetes. Secondly, the relatively high cost of genetic tests and the limited access of patients and their families to specialized genetic laboratories in most regions, remote from specialized diabetes centers, further complicates the situation.

Genetic testing is indicated in patients with suspected MODY in the presence of a diagnosis of type 1 diabetes mellitus with negative islet antibodies, with preserved beta-cell function and low insulin requirement after a partial remission phase with a positive family history or asymptomatic cases of hyperglycemia detected during routine physical examinations. In patients with type 2 diabetes mellitus, the presence of MODY is often indicated by the absence of significant obesity and the absence of black acanthosis, as well as the presence of a family history. It is recommended that testing for islet cell antibodies be conducted in all patients meeting the aforementioned criteria. Furthermore, the presence of typical syndromal characteristics of a particular type of MODY (i.e., renal cyst/dysplasia for HNF1B-MODY; stable, non-progressive, mild hyperglycemia characteristic of GCK-MODY) should also prompt specific genetic testing. The literature indicates that even the presence of obesity or black acanthosis, or the absence of a family history of diabetes, should not preclude the diagnosis of MODY.

In addition to MODY, neonatal diabetes mellitus (NDM) is a monogenic form of diabetes. This is a relatively uncommon condition, with a genetic and phenotypic heterogeneity that manifests during the first six months of a child’s life. Individuals with NDM and a debut in the first six months of life are exceedingly unlikely to exhibit specific autoantibodies to islet cells. Conversely, they are frequently found to possess a protective HLA-genotype for type I diabetes, which may suggest a higher prevalence of NDM in this age group. As indicated in the literature, NDM can exist independently or be part of a number of syndromes, including Down syndrome, Klinefelter syndrome, Turner syndrome, Wolfram syndrome, Lawrence-Moon-Bardet-Biedl syndrome, Prader-Willi syndrome, Friedreich’s ataxia, Huntington’s chorea, and porphyria (52).

The most prevalent etiology of NSD in neonates is an imprinting disorder of the PLAGL1 gene (6q24). This gene encodes a C2H2 zinc finger protein that functions as a suppressor of cell growth. This gene is frequently methylated and silenced in cancer cells. Furthermore, overexpression of this gene during fetal development is believed to be a contributing factor in transient neonatal diabetes mellitus (TNDM). The P1 promoter downstream of this gene is imprinted, and there is preferential expression of the paternal allele in many tissues. Insulin therapy is initiated at the time of diagnosis and is continued in the event of a relapse. Macroglossia is observed in 23% of newborns (53).

Walcott-Rallison syndrome is a rare autosomal recessive disorder characterized by the persistence of insulin-dependent diabetes in the neonatal or early infancy. After the initial presentation, epiphyseal dysplasia, osteoporosis, and growth retardation may develop. Hepatic and renal dysfunction, mental disorders, and cardiovascular abnormalities are also common multisystem manifestations. It results from damage to the EIF2AK3 gene (2p11.2). A total of 17 cases of this syndrome have been described in the literature. The syndrome is characterized by the combination of DM with epiphyseal bone dysplasia (90%), osteopenia (50%), acute liver failure (75%), developmental delay (80%), and hypothyroidism (25%). Exocrine pancreas symptoms may also occur. The age of onset is typically within the first six months of life (54, 55).

MODY in pregnancy

The screening for gestational diabetes, although there are some differences between countries, is a standardized procedure for the detection of pregnancy-related diabetes mellitus. Nevertheless, approximately 5% of women with gestational diabetes may be affected by undiagnosed MODY, and, moreover, MODY in this context often manifests subclinically (56). It is regrettable that, at this time, there are no international guidelines that are specifically dedicated to the identification of maturity-onset diabetes of the young (MODY) among gestational forms of diabetes. Nevertheless, the differential diagnosis of MODY from gestational diabetes is of great importance, as maternal glycemic control, which necessitates specific therapeutic approaches, as well as the presence or absence of mutations in the fetus, can significantly impact the outcome of pregnancy. There is an elevated risk of macrosomia in GCK-MODY, should the fetus lack the GCK mutation from the mother, and in HNF4A-MODY, should the fetus possess the HNF4A gene mutation from the parents. Additionally, there is a potential for hyperinsulinemic hypoglycemia, particularly in offspring of parents with HNF4A-MODY. This necessitates distinct therapeutic and pharmacological strategies throughout the gestational and neonatal periods (57).

In pregnant women with a known GCK-MODY mutation, treatment recommendations are based on fetal genotype and growth. In cases where the mother has a mutation in the GCK gene and the fetus does not have a mutation in the GCK gene (or it is not implied), achieving adequate glycemic control is challenging due to the mother experiencing higher fasting and postprandial glycemic fluctuations in the first trimester compared to pregnant patients with HNF1A-MODY, despite the use of insulin therapy. This is due to the fact that administered insulin suppresses endogenous insulin secretion by the pancreas, thereby eliciting counter-regulation and resulting in a reduction in blood glucose levels. These patients require higher doses of insulin and have higher insulin needs than what would be predicted based on their replacement doses (58).

The diagnosis of HNF1A/HNF4A-MODY is considerably less prevalent among individuals with presumed gestational diabetes. These subtypes of diabetes are characterized by a progressive course, with diagnosis typically occurring well before the onset of pregnancy. HNF1A/HNF4A-MODY diabetes should be considered in a young, pregestational, obese woman with symptomatic or asymptomatic hyperglycemia without ketoacidosis and a positive family history of diabetes or a history of gestational diabetes as a potential indicator of autosomal dominant inheritance (7, 59). It is typical for there to be an absence of islet-specific antibodies and for there to be preserved endogenous insulin secretion, with detectable positive C-peptide. In cases where HNF1A-MODY is diagnosed during pregnancy, glucosuria may occur at an early stage, accompanied by relatively low glycemia. The presence of the HNF4A-MODY form should be suspected, particularly in cases with a history of abnormal gestational weight gain, macrosomia (approximately 56% of all cases), and transient hyperinsulinemic neonatal hypoglycemia (~15% of cases) in the pregnant woman herself in her neonatal period or in her offspring from a previous pregnancy. Two treatment options are currently available, although clinical data are scarce. The first option is to switch to insulin before pregnancy, which is probably the best option. The second option is to continue a sulfonylurea derivative (mainly glibenclamide, as it has the most robust evidence) in pre-conception and early pregnancy, with switching to insulin at the end of the first trimester. However, this option can only be chosen in those with HNF1A-MODY or HNF4A forms. Furthermore, this applies to patients with MODY who have achieved optimal glycemic control with sulfonylurea derivatives. It is also noteworthy that sulfonylurea preparations, along with other pharmacological classes of hypoglycemic agents, are regarded as safe during pregnancy and can be employed (59).

The epidemiology of MODY

The estimated incidence of MODY is typically diagnosed between the second and fifth decades of life. However, the prevalence of this condition remains poorly understood due to the paucity of population-based studies in certain ethnic groups (60). To date, there is a wealth of data from various regions on the incidence of MODY. However, there is a paucity of information regarding the prevalence of different genetic variants, including rare variants, in both patients and healthy individuals from pan-ethnic populations. The minimal incidence of monogenic diabetes is estimated to be 0.2 cases per 100,000 children and young adults under 18 years of age per year (61), while the estimated incidence of MODY is approximately 2.4% in children and adolescents under 15 years of age with newly diagnosed diabetes mellitus (62). The paucity of specialist awareness regarding the prevalence of this form of diabetes in diverse global populations is attributable to several factors. Primarily, the frequent misdiagnosis of MODY due to the presence of subtle or non-specific symptoms contributes to this deficiency. Additionally, the clinical features of MODY and type 1 diabetes (DM1) and type 2 diabetes (DM2) are often analogous, further complicating the distinction between the two conditions. The third salient factor is the absence of clear criteria for comprehensive genetic testing, which is further compounded by a lack of physician awareness regarding MODY.

Estimates of the prevalence of MODY subtypes in patients from northern, western, and central Europe are roughly similar: frequency data from Germany (63, 64), the Netherlands (65), Poland (65), Norway (66) and the United Kingdom are comparable (65).

The frequencies of genetically confirmed MODY, as well as the proportions of different forms of the disease, vary somewhat more between studies depending on the diagnostic criteria used in a given study - for example, when patients are recruited who are negative for autoantibodies (40, 67, 68), the number of cases with an inherited etiology increases dramatically in this cohort (Figure 3). Although the prevalence of MODY in regions outside of Europe remains poorly understood, available data from articles suggest geographic and ethnic differences. In the United States, for example, the prevalence of MODY is 1.2% of all pediatric diabetes mellitus cases, and the minimum prevalence of monogenic diabetes in young people under 20 years of age is estimated to be 21 per 1,000,000 (2). On the other hand, in Western Australia, the prevalence of MODY in diabetic patients under 35 years of age is 0.24%, which corresponds to an estimated minimum prevalence of 89 cases per 1,000,000 for the entire Australian population (61).

Figure 3
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Figure 3. Frequencies of different forms of MODY diabetes in different European populations (1, 19, 100106).

Unfortunately, the prevalence of MODY in populations in Africa, Asia, South America and the Middle East is unknown. Clearly, studies are needed to elucidate the exact prevalence of MODY in non-European regions. A recent study in Brazil described the first case of NEUROD1-MODY in Latin America and identified a novel frameshift mutation (69), suggesting that studies in countries with multiethnic populations may improve the current understanding of the epidemiology and pathogenesis of MODY. In comparison to European populations, data on the diagnosis of monogenic diabetes in Asian countries are rather scarce (69). A recent study of 82 patients with type 1 diabetes and negative pancreatic cell autoantibodies showed that MODY-HNF1A was the most common form in Chinese patients, but several rare recessive Wolfram syndrome 1 (WFS1) mutations were also identified (70). Among Japanese patients with MODY, mutations in GCK, HNF1A, HNF4A, and HNF1B genes were detected in 39.2%, of which the proportion of GCK gene mutations was 21.6% (71). In Korean patients, the most common form of MODY was GCK gene lesions (50%), followed by HNF1A (21.4%) and HNF4A (21.4%) genes (72).

Approaches to gene therapy for inherited carbohydrate-metabolizing disorders

The existing literature indicates the significance of molecular genetic testing, which can assist in the selection of the most suitable treatment to optimize blood glucose control, reduce the risk of hypoglycemic events and long-term complications, and ensure appropriate genetic counseling of patients. The physician determines the most appropriate treatment tactics, which may include medication, insulin administration, or dietary correction, based on the specific genetic variant. The most prevalent forms of MODY in individuals with mutations in the HNF4A and HNF1A genes are specified by specific beta-cell dysfunction. Patients with HNF1A-diabetes exhibit reduced insulin secretory capacity, while those with GCK-diabetes display defective glucose sensitivity but retain insulin secretory capacity. Patients with MODY are effectively treated with sulfonylureas due to their high sensitivity to these drugs. However, they are also prone to developing hypoglycemia over time. Patients with mutations in the GCK gene typically do not require treatment, while oral hypoglycemic drugs are recommended for patients with a confirmed diagnosis and mutations in the HNF4A and HNF1A genes. A review of recent data indicates that agents that lower blood sugar, in addition to traditional sulfonylurea drugs, may be effective in patients with MODY (73). A number of recommendations have been formulated for the appropriate management of pregnancy in individuals carrying the GCK mutation, given that the disruption of carbohydrate metabolism during this period can have a detrimental impact on fetal health. In all other situations, the optimal approach to correcting carbohydrate metabolism in patients with GCK gene damage remains a matter of debate (74). The prevalence of other MODY subtypes is considerably lower, and the limited data on treatment options and variations in clinical guidelines across different countries make it challenging to establish a universal approach to managing these patients. Supplementary Table S1 presents an overview of the various clinical manifestations of MODY, with a focus on the specific genetic variant associated with each form of the disease (Supplementary Table S1).

The efficacy of sulfonylurea therapy for the treatment of these forms of diabetes is well documented. Long-term use of sulfonylurea compounds has been observed to induce an increase in glucose-induced insulin secretion for up to 33 years in some patients with MODY. However, in most cases, glucose-induced insulin secretion has been found to decrease over time. As indicated in the literature, a decline of approximately 1-4% per year has been observed (75). Some patients become insensitive to sulfonylurea after 3-25 years, resulting in a lack of or minimal increase in glucose-induced insulin secretion. This subsequently leads to the requirement for insulin to normalize fasting hyperglycemia. In some patients with MODY, insulin and C-peptide levels may be so low that they resemble those observed in patients with type 1 diabetes, with the same typical labile glucose levels (75, 76). There is a paucity of prospective, randomized, controlled data to support the use of adjuvant or alternative therapies (77). Given the heterogeneous nature of different MODY-diabetes variants and the high prevalence of individual forms of diabetes, it can be postulated that the development of gene therapy products for different forms of diabetes may yield therapeutic success. However, given the high clinical and genetic heterogeneity of hereditary forms of MODY diabetes, the creation of a gene product will be a very challenging and, in some cases, impossible task.

However, in recent years, a relatively large number of gene therapy products have been appearing on the market, driven in part by the identification and introduction of fundamentally new gene delivery vectors. Adeno-associated viruses (AAVs), non-enveloped DNA-containing viruses belonging to the Parvoviridae family that, can be used after modifications as vectors to deliver genetic material to target cells, have attracted considerable attention in this field, especially in experimental therapeutic strategies at the clinical stage (78). AAV vector systems offer the same key advantages as AAV, which makes them a promising platform for gene therapy. AAV vectors are non-pathogenic, exhibit low immunogenicity, and present a low risk of insertional mutagenesis. Following the engineering modifications, during which the rep and cap genes necessary for virus replication and its further assembly are removed and, respectively, replaced by a transgene with a promoter, AAV vectors remain in a non-hazardous episomal form within the nucleus of the host cell (79). Besides, AAVs are capable of maintaining stable and prolonged expression of therapeutic genes in quiescent cells, such as neurons and myocytes, which is crucial for the sustained efficacy of numerous gene therapy strategies. Furthermore, AAV capsid proteins, which encapsulate the AAV genome and determine its tropism and entry into target cells, are highly versatile and amenable to modification. This feature enables the engineering of AAV vectors to possess diverse tropisms, thus facilitating the treatment of a wide range of diseases. The low immunogenicity of AAV vectors in comparison to other vectors is attributed to their inefficient transduction of antigen-presenting cells (APCs) (80), which contributes to the AAV vector’s status as one of the leading platforms for gene therapy delivery (81, 82). Genotherapy, which employs AAV constructs, is employed in the treatment of a diverse array of hereditary pathologies. Apart from the European Medicines Agency (EMA)-approved alipogenin tipervovec (Glybera), the most successful use of an adeno-associated viral construct is a dosage form for gene therapy of hereditary forms of tapetoretinal retinal abiotrophy due to mutations in the RPE65 gene (voretigene neparvovec-RPE65 by Spark Therapeutics) (83). This method of local delivery has been demonstrated to be safe and effective. The sole disadvantage associated with this drug is the potential for difficulty in surgical techniques for vector delivery. Applied Genetic Technologies Corporation (AGTC) is pursuing analogous strategies for the treatment of X-linked retinoschisis and achromatopsia, X-linked retinitis pigmentosa, and age-related macular degeneration. These programs are at different stages of development, with the most advanced ones for X-linked retinoschisis and achromatopsia currently undergoing Phase I safety studies (80, 8385).

The existing literature on the creation of drugs for gene therapy of carbohydrate metabolism disorders is notably sparse. In general, a significant proportion of publications are devoted to the development of genetic constructs and their testing in mice. Genotherapeutic approaches that modulate the activity of specific genes, including FGF21, BMP7, GHR, IGF1, HNF1A, INS, and GCK, have been identified. Consequently, native FGF21 enhances glucose uptake in adipocytes, which is of significant consequence for the interaction of insulin with Glut1 receptors in adipose tissue. When expressed at an optimal level, FGF21 protects animals from obesity induced by a diet rich in fat and carbohydrates. The elevation of FGF21 protein in mice is accompanied by an increase in energy expenditure and lipolysis (86). Additionally, FGF21 exhibits relatively low pharmacokinetic properties, rendering gene therapy an appealing strategy for achieving sustained levels of this protein. In this instance, AAV vectors were employed to genetically engineer the delivery of a genetic construct into the liver, adipose tissue, or skeletal muscle in order to facilitate the secretion of FGF21. The administration of recombinant FGF21 protein to mice fed an ob/ob, db/db, or high-fat diet (HFD), or obese Zucker diabetic fatty (ZDF) rats, has been shown to result in a significant reduction in obesity, lower blood glucose and triglyceride levels, and improved insulin sensitivity (87, 88). The therapeutic effect was achieved without the development of adverse effects, despite persistently elevated serum FGF21 levels. This study underscores the promise of FGF21-based gene therapy for the treatment of obesity, insulin resistance, and various types of diabetes mellitus (DM2).

Bone morphogenic protein 7 (BMP7) has demonstrated an ability to enhance energy expenditure through the induction of thermogenesis, as evidenced in short-term investigations employing recombinant protein or adenoviral vectors encoding BMP7 in mice. To achieve the long-term effects of BMP7, the use of AAV vectors provides sustained production of the protein after a single injection. In this study, the administration of AAV-BMP7 vectors to obese mice resulted in a long-lasting increase in serum levels of the factor in hepatocytes and in white adipose tissue. The results indicated that the concentration of the BMP7 protein was correlated with the degree of darkening of the white adipose tissue, as well as the activation of the brown adipose tissue. The observed increase in energy expenditure, along with a reduction in the size and accumulation of fat in the white adipose tissue, and steatosis, resulted in a normalization of body weight and insulin resistance. The results of this study suggest the potential efficacy of AAV-BMP7-mediated gene therapy for the treatment of insulin resistance, type 2 diabetes, and obesity (89).

A recent study has identified a hepatocyte-specific role in growth hormone receptor (GHR) signalling in the regulation of steatosis. A mouse model with hepatocyte-specific GHR knockdown (aHepGHRkd) was employed, wherein the knockdown was established in adult individuals. To prevent the decline in insulin-like growth factor 1 (IGF1) levels and the subsequent rise in insulin resistance observed in aHepGHRkd mice, subsets of aHepGHRkd mice were treated with AAV vectors that induced hepatocyte-specific expression of IGF1 and a constitutively active form of STAT5B. The effects of hepatocyte-specific modulation of GHR, IGF1, and STAT5b on carbohydrate and lipid metabolism have been studied in different nutritional states and in the context of hyperinsulinemic/euglycemic clamps. These preliminary findings suggest a tentative understanding of the physiological role of growth hormone in metabolic regulation in adults, with the potential to protect against the progression of nonalcoholic fatty liver disease (90).

A mouse model of MODY3 was generated using CRISPR/Cas9 genomic editing technology, which demonstrated the suppression of HNF1A protein production in the pancreas. These gene-modified mice displayed β-cell dysfunction and markedly elevated blood sugar levels, which are also observed in patients with genetic abnormalities in HNF1A. The animals were injected with AAV vector constructs encoding the Hnf1α gene under the control of a β-cell-specific promoter, resulting in the expression of HNF1A in islet cells. This, in turn, increased the expression of the core proteins GLUT2 and L-PK. AAV-Hnf1α-mediated gene therapy prevented the development of hyperglycemia, hyperinsulinemia, increased glucose tolerance, and enhanced insulin secretion by the pancreatic islet apparatus, thereby reversing MODY3 in rodents. These results demonstrate the efficacy of gene therapy for a monogenic form of sarcomeric diabetes and provide a rationale for applying AAV-Hnf1α-based gene therapy to treat MODY 3 patients in the future (91).

A gene therapy approach for glycemic control based on the co-expression of insulin and glucokinase genes in canine skeletal muscle was developed. A long-term study in diabetic animals using AAV vectors was conducted. The objective of achieving successful long-term glycemic control was met, with no requirement for the administration of exogenous insulin. This study demonstrated the long-term efficacy and safety of AAV-mediated insulin and glucokinase gene transfer in large animals. Furthermore, the capacity of the animal body to adapt to changes in metabolic needs as the animals matured was demonstrated (92, 93). This is a highly impressive and encouraging result, as this approach can be applied in humans with both different forms of MODY and other monogenic forms of carbohydrate metabolism disorders. As is the case with many clinical trials, it is challenging to ascertain the generalizability of these outcome data to the MODY patient population, particularly in light of the low rates of diagnosis in numerous regions worldwide and the relatively straightforward nature of the specific treatment for this disease (Supplementary Table S1). Nevertheless, the rapid advancement of research on the impact of AAV vectors on humans, coupled with the availability of diverse gene therapy strategies for various forms of carbohydrate metabolism disorders in animal models, offers optimism for the development of comprehensive gene therapy agents that could benefit patients with severe carbohydrate metabolism disorders.

In summary, the risk-to-benefit ratio for AVV constructs appears favorable. All parties involved, including physicians and patients, anticipate the imminent availability of a number of new genotherapeutic agents for the treatment of MODY in the pharmaceutical market.

Conclusion

Maturity-onset diabetes (MODY) is a group of monogenic diseases that result in primary defects in insulin secretion and dominantly inherited forms of non-autoimmune diabetes. Although numerous genes can be associated with monogenic diabetes, it is heterozygous mutations in six of them that are responsible for the majority of MODY cases. Glucokinase (GCK)-MODY is caused by mutations in the glucokinase gene. Three MODY subtypes are associated with mutations in hepatocyte nuclear factor (HNF) transcription factors, and two others are associated with mutations in ABCC8 and KCNJ11, which encode subunits of the ATP-dependent potassium channel in pancreatic beta cells. GCK-MODY and HNF1A-MODY are the most prevalent subtypes. The clinical presentation of MODY subtypes is dependent on the gene involved, and the diagnosis of MODY may be considered in a variety of clinical circumstances. However, with the exception of GCK-MODY patients, whose phenotype is very homogeneous, in most cases the penetrance and expression of this molecular abnormality varies greatly between patients. Furthermore, alterations in different genes may result in similar phenotypes. In addition, it can be difficult to distinguish between the most common forms of diabetes, especially type 2 diabetes. Therefore, MODY is distinguished by a high degree of clinical and genetic heterogeneity.

Given the high genetic and clinical polymorphism of the disease, it is challenging to develop a universal genetic construct that is suitable for different genetic variants of MODY and associated complications of diabetes.

The strategy of gene therapy for monogenic forms of MODY is still an experimental direction. It is unlikely to be widely used in the clinic due to several factors. Firstly, the genetic structure of the disease is complex, with high genetic polymorphism and clinical variability even within the same hereditary form. Secondly, there is a lack of clear gene-phenotypic correlations. Most mutations that are the main cause of MODY have low penetrance, while the effectiveness of therapies such as sulfonylurea derivatives and insulin has resulted in the majority of patients being cured.

To date, a wide range of research is being conducted worldwide to study in detail the pathogenesis of type I and II DM, approaches to differential diagnosis, and the development of approaches to molecular correction of carbohydrate metabolism disorders. The use of different classes of oral hypoglycemic agents in maturity-onset diabetes of the young (MODY) is being widely studied. However, the “gold standard” for the treatment of many forms of this disease remains drugs from the sulfonylurea group and insulin administration in severe hyperglycemic states.

Consequently, a meticulous examination of the family history and clinical presentation of patients suspected of having MODY is essential for the identification of those who require genetic testing. A comprehensive examination of MODY epidemiology is essential for the provision of optimal and expedient medical and genetic counseling. This, in turn, will facilitate the more precise administration of genotherapeutic drugs, taking into account the ethnic background of patients, as the spectrum and prevalence of MODY mutations across different populations are crucial factors in gene therapy. The diagnosis of monogenic diabetes has significant implications for prognosis, therapy, and family screening. Consequently, the approaches to the diagnosis and treatment of this disease remain undefined, which also impedes the development of gene therapy. Moreover, in recent years, the advent of rapidly developing molecular genetic tools has led to the emergence of novel monogenic forms of diabetes mellitus and carbohydrate metabolism disorders, further complicating the accurate and timely diagnosis of this disease.

Author contributions

LD: Conceptualization, Data curation, Project administration, Writing – original draft, Writing – review & editing. EZ: Data curation, Formal analysis, Methodology, Visualization, Writing – review & editing. AG: Formal Analysis, Investigation, Methodology, Writing – review & editing, Visualization. MV: Formal analysis, Funding acquisition, Project administration, Resources, Writing – review & editing. SR: Conceptualization, Data curation, Formal analysis, Writing – original draft. NM: Funding acquisition, Investigation, Methodology, Writing – review & editing. ML: Data curation, Formal analysis, Writing – review & editing, Project administration. VC: Data curation, Funding acquisition, Methodology, Resources, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Ministry of Science and Higher Education of the Russian Federation (agreement No. 075-15-2022-310 from 20 April 2022).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2024.1497298/full#supplementary-material

References

1. Shields BM, Hicks S, Shepherd MH, Colclough K, Hattersley AT, Ellard S. Maturity-onset diabetes of the young (MODY): how many cases are we missing? Diabetologia. (2010) 53:2504–8. doi: 10.1007/s00125-010-1799-4

PubMed Abstract | Crossref Full Text | Google Scholar

2. Pihoker C, Gilliam LK, Ellard S, Dabelea D, Davis C, Dolan LM, et al. Prevalence, characteristics and clinical diagnosis of maturity onset diabetes of the young due to mutations in HNF1A, HNF4A, and glucokinase: results from the SEARCH for diabetes in youth. J Clin Endocrinol Metab. (2013) 98:4055–62. doi: 10.1210/jc.2013-1279

PubMed Abstract | Crossref Full Text | Google Scholar

3. Shepherd M, Shields B, Hammersley S, Hudson M, McDonald TJ, Colclough K, et al. Systematic population screening, using biomarkers and genetic testing, identifies 2.5% of the U.K. Pediatric diabetes population with monogenic diabetes. Diabetes Care. (2016) 39:1879–88. doi: 10.2337/dc16-0645

PubMed Abstract | Crossref Full Text | Google Scholar

4. Naylor R, Knight Johnson A, del Gaudio D. "Maturity-Onset Diabetes of the Young Overview". In: Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Amemiya A, editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993–2024.

PubMed Abstract | Google Scholar

5. Tattersall RB, Fajans SS. A Difference between the inheritance of classical juvenile-onset and maturity-onset type diabetes of young people. Diabetes. (1975) 24:44–53. doi: 10.2337/diab.24.1.44

PubMed Abstract | Crossref Full Text | Google Scholar

6. Winter WE, Nakamura M, House DV. Monogenic diabetes mellitus in youth. The MODY syndromes. Endocrinol And Metab Clinics Of North America. (1999) 28:765–85. doi: 10.1016/S0889-8529(05)70101-8

PubMed Abstract | Crossref Full Text | Google Scholar

7. Zečević K, Volčanšek Š, Katsiki N, Rizzo M, Milardović TM, Stoian AP, et al. Maturity-onset diabetes of the young (MODY) - in search of ideal diagnostic criteria and precise treatment. Prog Cardiovasc Diseases. (2024) 85:14–25. doi: 10.1016/j.pcad.2024.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

8. American Diabetes Association. Classification and diagnosis of diabetes: Standards of medical care in diabetesd - 2018. Diabetes Care. (2018) 41:S13–27. doi: 10.2337/dc18-S002

PubMed Abstract | Crossref Full Text | Google Scholar

9. Ledermann HM. Is maturity onset diabetes at young age (MODY) more common in Europe than previously assumed? Lancet. (1995) 345:648. doi: 10.1016/s0140-6736(95)90548-0

PubMed Abstract | Crossref Full Text | Google Scholar

10. Fajans SS, Bell GI, Polonsky KS. Molecular mechanisms and clinical pathophysiology of maturity-onset diabetes of the young. N Engl J Med. (2001) 345:971–80. doi: 10.1056/NEJMra002168

PubMed Abstract | Crossref Full Text | Google Scholar

11. Winter WE, Maclaren NK, Riley WJ, Clarke DW, Kappy MS, Spillar RP. Maturity-onset diabetes of youth in black americans. New Engl J Med. (1987) 316:285–91. doi: 10.1056/NEJM198702053160601

PubMed Abstract | Crossref Full Text | Google Scholar

12. Frayling TM, Evans JC, Bulman MP, Pearson E, Allen L, Owen K, et al. [amp]]beta;-Cell Genes and Diabetes: Molecular and clinical characterization of mutations in transcription factors. Diabetes. (2001) 50:S94–100. doi: 10.2337/diabetes.50.2007.S94

PubMed Abstract | Crossref Full Text | Google Scholar

13. Stalbow LA, Preuss MH, Smit RAJ, Chami N, Bjørkhaug L, Aukrust I, et al. The contribution of functional HNF1A variants and polygenic susceptibility to risk of type 2 diabetes in ancestrally diverse populations. Diabetologia. (2023) 66:116–26. doi: 10.1007/s00125-022-05806-2

PubMed Abstract | Crossref Full Text | Google Scholar

14. Yamada S, Zhu Q, Aihara Y, Onda H, Zhang Z, Yu L, et al. Cloning of cDNA and the gene encoding human hepatocyte nuclear factor (HNF)-3β and mutation screening in Japanese subjects with maturity-onset diabetes of the young. Diabetologia. (2000) 43:121–4. doi: 10.1007/s001250050016

PubMed Abstract | Crossref Full Text | Google Scholar

15. Xu JY, Dan QH, Chan V, Wat NMS, Tam S, Tiu SC, et al. Genetic and clinical characteristics of maturity-onset diabetes of the young in Chinese patients. Eur J Hum Genet. (2005) 13:422–7. doi: 10.1038/sj.ejhg.5201347

PubMed Abstract | Crossref Full Text | Google Scholar

16. Chakera AJ, Steele AM, Gloyn AL, Shepherd MH, Shields B, Ellard S, et al. Recognition and management of individuals with hyperglycemia because of a heterozygous glucokinase mutation. Diabetes Care. (2015) 38:1383–92. doi: 10.2337/dc14-2769

PubMed Abstract | Crossref Full Text | Google Scholar

17. Carmody D, Naylor RN, Bell CD, Berry S, Montgomery JT, Tadie EC, et al. GCK-MODY in the US National Monogenic Diabetes Registry: frequently misdiagnosed and unnecessarily treated. Acta Diabetologica. (2016) 53:703–8. doi: 10.1007/s00592-016-0859-8

PubMed Abstract | Crossref Full Text | Google Scholar

18. Çubuk H, Yalçın Çapan Ö. A review of functional characterization of single amino acid change mutations in HNF transcription factors in MODY pathogenesis. Protein J. (2021) 40:348–60. doi: 10.1007/s10930-021-09991-8

PubMed Abstract | Crossref Full Text | Google Scholar

19. Estalella I, Rica I, De Nanclares GP, Bilbao JR, Vazquez JA, San Pedro JI, et al. Mutations in GCK and HNF-1α explain the majority of cases with clinical diagnosis of MODY in Spain. Clin Endocrinology. (2007) 67:538–46. doi: 10.1111/j.1365-2265.2007.02921.x

PubMed Abstract | Crossref Full Text | Google Scholar

20. Samadli S, Zhou Q, Zheng B, Gu W, Zhang A. From glucose sensing to exocytosis: takes from maturity onset diabetes of the young. Front Endocrinol. (2023) 14. doi: 10.3389/fendo.2023.1188301

PubMed Abstract | Crossref Full Text | Google Scholar

21. Gonzalez CD, Perkins VI, de Lima AA, Fogar R, Frechtel GD, Di Girolamo G. Pregnancy complicated by the most frequent forms of maturity onset diabetes of the young: A narrative review on its pharmacological implications. Curr Rev Clin Exp Pharmacol. (2021) 16:228–34. doi: 10.2174/1574884715666200910160007

PubMed Abstract | Crossref Full Text | Google Scholar

22. Clemmensen C, Smajilovic S, Smith EP, Woods SC, Bräuner-Osborne H, Seeley RJ, et al. Oral l-arginine stimulates GLP-1 secretion to improve glucose tolerance in male mice. Endocrinology. (2013) 154:3978–83. doi: 10.1210/en.2013-1529

PubMed Abstract | Crossref Full Text | Google Scholar

23. Zhu W, Tanday N, Flatt PR, Irwin N. Pancreatic polypeptide revisited: Potential therapeutic effects in obesity-diabetes. Peptides. (2023) 160:170923. doi: 10.1016/j.peptides.2022.170923

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ilag LL, Tabaei BP, Herman WH, Zawacki CM, Souza ED’, Bell GI, et al. Reduced pancreatic polypeptide response to hypoglycemia and amylin response to arginine in subjects with a mutation in the HNF-4/MODY1 gene. Diabetes. (2000) 49:961–8. doi: 10.2337/diabetes.49.6.961

PubMed Abstract | Crossref Full Text | Google Scholar

25. Wang X, Li W, Ma L, Ping F, Liu J, Wu X, et al. Variants in MODY genes associated with maternal lipids profiles in second trimester of pregnancy. J Gene Med. (2017) 19:e2962. doi: 10.1002/jgm.v19.6-7

PubMed Abstract | Crossref Full Text | Google Scholar

26. Bouché C, Serdy S, Kahn CR, Goldfine AB. The cellular fate of glucose and its relevance in type 2 diabetes. Endocrine Rev. (2004) 25:807–30. doi: 10.1210/er.2003-0026

PubMed Abstract | Crossref Full Text | Google Scholar

27. Yin Y, Li L, Yu S, Xin Y, Zhu L, Hu X, et al. The first compound heterozygous mutations in SLC12A3 and PDX1 genes: a unique presentation of Gitelman syndrome with distinct insulin resistance and familial diabetes insights. Front Endocrinol. (2024) 14. doi: 10.3389/fendo.2023.1327729

PubMed Abstract | Crossref Full Text | Google Scholar

28. Liu J, Xie Z, Fu J, Yu M, Wang T, Qi C, et al. Quantitative profiling and diagnostic potential of one-carbon and central metabolism pools in MODY2 and T1DM. Diabetol Metab Syndrome. (2023) 15:206. doi: 10.1186/s13098-023-01175-x

PubMed Abstract | Crossref Full Text | Google Scholar

29. DeForest N, Kavitha B, Hu S, Isaac R, Krohn L, Wang M, et al. Human gain-of-function variants in HNF1A confer protection from diabetes but independently increase hepatic secretion of atherogenic lipoproteins. Cell Genomics. (2023) 3:100339. doi: 10.1016/j.xgen.2023.100339

PubMed Abstract | Crossref Full Text | Google Scholar

30. Heuvel-Borsboom H, de Valk HW, Losekoot M, Westerink J. Maturity onset diabetes of the young: Seek and you will find. Neth J Med. (2024) 74:193–200. Available online at: https://www.njmonline.nl/getpdf.php?id=1716.

PubMed Abstract | Google Scholar

31. Aarthy R, Aston-Mourney K, Mikocka-Walus A, Radha V, Amutha A, Anjana RM, et al. Clinical features, complications and treatment of rarer forms of maturity-onset diabetes of the young (MODY) - A review. J Diabetes its Complications. (2021) 35:107640. doi: 10.1016/j.jdiacomp.2020.107640

PubMed Abstract | Crossref Full Text | Google Scholar

32. Bonnefond A, Unnikrishnan R, Doria A, Vaxillaire M, Kulkarni RN, Mohan V, et al. Monogenic diabetes. Nat Rev Dis Primers. (2023) 9:12. doi: 10.1038/s41572-023-00421-w

PubMed Abstract | Crossref Full Text | Google Scholar

33. Li Y, Wen Q, Shao H, Hao M, Sun Y, Liu T. A novel nonsense mutation c.747C<G in the NEUROD1 gene detected within a Chinese family affected by maturity-onset diabetes of the young type 6. J Diabetes. (2024) 16:e13607. doi: 10.1111/1753-0407.13607

PubMed Abstract | Crossref Full Text | Google Scholar

34. Marassi M, Morieri ML, Sanga V, Ceolotto G, Avogaro A, Fadini GP. The elusive nature of ABCC8-related maturity-onset diabetes of the young (ABCC8-MODY). A review of the literature and case discussion. Curr Diabetes Rep. (2024) 24:197–206. doi: 10.1007/s11892-024-01547-1

PubMed Abstract | Crossref Full Text | Google Scholar

35. Özsu E, Çetinkaya S, Bolu S, Hatipoğlu N, Savaş Erdeve Ş, Evliyaoğlu O, et al. Clinical and laboratory characteristics of MODY (Maturity onset diabetes of young) cases, genetic mutation spectrum and phenotype-genotype relationship. J Clin Res Pediatr Endocrinol. (2024) 16:297–305. doi: 10.4274/jcrpe.galenos.2024.2023-10-16

PubMed Abstract | Crossref Full Text | Google Scholar

36. Johnson SR, Carter HE, Leo P, Hollingworth SA, Davis EA, Jones TW, et al. Cost-effectiveness analysis of routine screening using massively parallel sequencing for maturity-onset diabetes of the young in a pediatric diabetes cohort: reduced health system costs and improved patient quality of life. Diabetes Care. (2019) 42:69–76. doi: 10.2337/dc18-0261

PubMed Abstract | Crossref Full Text | Google Scholar

37. Naylor RN, John PM, Winn AN, Carmody D, Greeley SAW, Philipson LH, et al. Cost-effectiveness of MODY genetic testing: translating genomic advances into practical health applications. Diabetes Care. (2014) 37:202–9. doi: 10.2337/dc13-0410

PubMed Abstract | Crossref Full Text | Google Scholar

38. Kleinberger JW, Copeland KC, Gandica RG, Haymond MW, Levitsky LL, Linder B, et al. Monogenic diabetes in overweight and obese youth diagnosed with type 2 diabetes: the TODAY clinical trial. Genet Med. (2018) 20:583–90. doi: 10.1038/gim.2017.150

PubMed Abstract | Crossref Full Text | Google Scholar

39. 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 Syndrome. (2021) 13:96. doi: 10.1186/s13098-021-00716-6

PubMed Abstract | Crossref Full Text | Google Scholar

40. Carlsson A, Shepherd M, Ellard S, Weedon M, Lernmark Å, Forsander G, et al. Absence of islet autoantibodies and modestly raised glucose values at diabetes diagnosis should lead to testing for MODY: lessons from a 5-year pediatric swedish national cohort study. Diabetes Care. (2020) 43:82–9. doi: 10.2337/dc19-0747

PubMed Abstract | Crossref Full Text | Google Scholar

41. Ellard S, Colclough K, Patel KA, Hattersley AT. Prediction algorithms: pitfalls in interpreting genetic variants of autosomal dominant monogenic diabetes. J Clin Invest. (2019) 130:14–6. doi: 10.1172/JCI133516

PubMed Abstract | Crossref Full Text | Google Scholar

42. Peixoto-Barbosa R, Reis AF, Giuffrida FMA. Update on clinical screening of maturity-onset diabetes of the young (MODY). Diabetol Metab Syndrome. (2020) 12:50. doi: 10.1186/s13098-020-00557-9

PubMed Abstract | Crossref Full Text | Google Scholar

43. Urbanová J, Brunerová L, Brož J. Hidden MODY-looking for a needle in a haystack. Front Endocrinol. (2018) 9. doi: 10.3389/fendo.2018.00355

PubMed Abstract | Crossref Full Text | Google Scholar

44. Pinelli M, Acquaviva F, Barbetti F, Caredda E, Cocozza S, Delvecchio M, et al. Identification of candidate children for maturity-onset diabetes of the young type 2 (MODY2) gene testing: A seven-item clinical flowchart (7-iF). PloS One. (2013) 8:e7993. doi: 10.1371/journal.pone.0079933

PubMed Abstract | Crossref Full Text | Google Scholar

45. Stanik J, Dusatkova P, Cinek O, Valentinova L, Huckova M, Skopkova M, et al. De novo mutations of GCK, HNF1A and HNF4A may be more frequent in MODY than previously assumed. Diabetologia. (2014) 57:480–4. doi: 10.1007/s00125-013-3119-2

PubMed Abstract | Crossref Full Text | Google Scholar

46. Thanabalasingham G, Pal A, Selwood MP, Dudley C, Fisher K, Bingley PJ, et al. 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. Diabetes Care. (2012) 35:1206–12. doi: 10.2337/dc11-1243

PubMed Abstract | Crossref Full Text | Google Scholar

47. Wedrychowicz A, Tobór E, Wilk M, Ziólkowska-Ledwith E, Rams A, Wzorek K, et al. Phenotype heterogeneity in glucokinase–maturity-onset diabetes of the young (GCK-MODY) patients. J Clin Res Pediatr Endocrinology. (2017) 9:246–52. doi: 10.4274/jcrpe.4461

PubMed Abstract | Crossref Full Text | Google Scholar

48. Johansson S, Irgens H, Chudasama KK, Molnes J, Aerts J, Roque FS, et al. Exome sequencing and genetic testing for MODY. PloS One. (2012) 7:e38050. doi: 10.1371/journal.pone.0038050

PubMed Abstract | Crossref Full Text | Google Scholar

49. Ellard S, Thomas K, Edghill EL, Owens M, Ambye L, Cropper J, et al. Partial and whole gene deletion mutations of the GCK and HNF1A genes in maturity-onset diabetes of the young. Diabetologia. (2007) 50:2313–7. doi: 10.1007/s00125-007-0798-6

PubMed Abstract | Crossref Full Text | Google Scholar

50. Zung A, Petek E, Ben-Zeev B, Schwarzbraun T, Ben-Yehoshua SJ. MODY type 2 in Greig cephalopolysyndactyly syndrome (GCPS) as part of a contiguous gene deletion syndrome. Am J Med Genetics Part A. (2011) 155:2469–72. doi: 10.1002/ajmg.a.v155.10

PubMed Abstract | Crossref Full Text | Google Scholar

51. Nagamani SCS, Erez A, Shen J, Li C, Roeder E, Cox S, et al. Clinical spectrum associated with recurrent genomic rearrangements in chromosome 17q12. Eur J Hum Genet. (2010) 18:278–84. doi: 10.1038/ejhg.2009.174

PubMed Abstract | Crossref Full Text | Google Scholar

52. Ismail-Beigi F. Glycemic management of type 2 diabetes mellitus. New Engl J Med. (2012) 366:1319–27. doi: 10.1056/NEJMcp1013127

PubMed Abstract | Crossref Full Text | Google Scholar

53. Azzi S, Sas TCJ, Koudou Y, Le Bouc Y, Souberbielle JC, Dargent-Molina P, et al. Degree of methylation of ZAC1 (PLAGL1) is associated with prenatal and post-natal growth in healthy infants of the EDEN mother child cohort. Epigenetics. (2013) 9:338–45. doi: 10.4161/epi.27387

PubMed Abstract | Crossref Full Text | Google Scholar

54. Huang A, Wei H. Wolcott−Rallison syndrome due to the same mutation in EIF2AK3 (c.205G<T) in two unrelated families: A case report. Exp Ther Med. (2019). doi: 10.3892/etm.2019.7268

PubMed Abstract | Crossref Full Text | Google Scholar

55. Bin-Abbas B, Shabib S, Hainau B, Al-Ashwal A. Wolcott-Rallison syndrome: Clinical, radiological and histological findings in a Saudi child. Ann Saudi Med. (2001) 21:73–4. doi: 10.5144/0256-4947.2001.73

PubMed Abstract | Crossref Full Text | Google Scholar

56. Tosur M, Philipson LH. Precision diabetes: Lessons learned from maturity-onset diabetes of the young (MODY). J Diabetes Invest. (2022) 13:1465–71. doi: 10.1111/jdi.13860

PubMed Abstract | Crossref Full Text | Google Scholar

57. Majewska A, Stanirowski P, Wielgoś M, Bomba-Opoń D. Maturity-onset diabetes of the young (MODY) in pregnancy: A review. Curr Diabetes Rev. (2023) 19:e280122200657. doi: 10.2174/1573399818666220128124043

PubMed Abstract | Crossref Full Text | Google Scholar

58. Bacon S, Schmid J, McCarthy A, Edwards J, Fleming A, Kinsley B, et al. The clinical management of hyperglycemia in pregnancy complicated by maturity-onset diabetes of the young. Am J Obstetrics Gynecology. (2015) 213:236.e1–7. doi: 10.1016/j.ajog.2015.04.037

PubMed Abstract | Crossref Full Text | Google Scholar

59. Cesta CE, Rotem R, Bateman BT, Chodick G, Cohen JM, Furu K, et al. Safety of GLP-1 receptor agonists and other second-line antidiabetics in early pregnancy. JAMA Internal Med. (2024) 184:144. doi: 10.1001/jamainternmed.2023.6663

PubMed Abstract | Crossref Full Text | Google Scholar

60. Owen K. Orphanet [Internet] Vol. 01. Universitas Nusantara PGRI Kediri (2024). Available online at: https://www.orpha.net/en/disease/detail/552.

Google Scholar

61. Davis TM, Makepeace AE, Ellard S, Colclough K, Peters K, Hattersley A, et al. The prevalence of monogenic diabetes in Australia: the Fremantle Diabetes Study Phase II. Med J Australia. (2017) 207:344–7. doi: 10.5694/mja2.2017.207.issue-8

Crossref Full Text | Google Scholar

62. Galler A, Stange T, Müller G, Näke A, Vogel C, Kapellen T, et al. Incidence of childhood diabetes in children aged less than 15 years and its clinical and metabolic characteristics at the time of diagnosis: Data from the childhood diabetes registry of Saxony, Germany. Hormone Res Paediatrics. (2010) 74:285–91. doi: 10.1159/000303141

PubMed Abstract | Crossref Full Text | Google Scholar

63. Firdous P, Nissar K, Ali S, Ganai BA, Shabir U, Hassan T, et al. Genetic testing of maturity-onset diabetes of the young current status and future perspectives. Front Endocrinol. (2018) 9. doi: 10.3389/fendo.2018.00253

PubMed Abstract | Crossref Full Text | Google Scholar

64. Neu A, Feldhahn L, Ehehalt S, Hub R, Ranke MB. Type 2 diabetes mellitus in children and adolescents is still a rare disease in Germany: a population-based assessment of the prevalence of type 2 diabetes and MODY in patients aged 0-20 years. Pediatr Diabetes. (2009) 10:468–73. doi: 10.1111/j.1399-5448.2009.00528.x

PubMed Abstract | Crossref Full Text | Google Scholar

65. Kleinberger JW, Pollin TI. Undiagnosed MODY: time for action. Curr Diabetes Rep. (2015) 15:110. doi: 10.1007/s11892-015-0681-7

PubMed Abstract | Crossref Full Text | Google Scholar

66. Johansson BB, Irgens HU, Molnes J, Sztromwasser P, Aukrust I, Juliusson PB, et al. Targeted next-generation sequencing reveals MODY in up to 6.5% of antibody-negative diabetes cases listed in the Norwegian Childhood Diabetes Registry. Diabetologia. (2017) 60:625–35. doi: 10.1007/s00125-016-4167-1

PubMed Abstract | Crossref Full Text | Google Scholar

67. Nkonge KM, Nkonge DK, Nkonge TN. The epidemiology, molecular pathogenesis, diagnosis, and treatment of maturity-onset diabetes of the young (MODY). Clin Diabetes Endocrinology. (2020) 6:20. doi: 10.1186/s40842-020-00112-5

PubMed Abstract | Crossref Full Text | Google Scholar

68. Stankute I, Verkauskiene R, Blouin JL, Klee P, Dobrovolskiene R, Danyte E, et al. Genetic variants associated with diabetes in youth Short running title. Diabetes. (2020) 69:1065–71. doi: 10.1007/s00125-016-4167-1

PubMed Abstract | Crossref Full Text | Google Scholar

69. Abreu G de M, Tarantino RM, Cabello PH, Zembrzuski VM, da Fonseca ACP, Rodacki M, et al. The first case of NEUROD1-MODY reported in Latin America. Mol Genet Genomic Med. (2019) 7:e989. doi: 10.1002/mgg3.989

PubMed Abstract | Crossref Full Text | Google Scholar

70. Li M, Wang S, Xu K, Chen Y, Fu Q, Gu Y, et al. High prevalence of a monogenic cause in han chinese diagnosed with type 1 diabetes, partly driven by nonsyndromic recessive WFS1 mutations. Diabetes. (2020) 69:121–6. doi: 10.2337/db19-0510

PubMed Abstract | Crossref Full Text | Google Scholar

71. Yorifuji T, Higuchi S, Kawakita R, Hosokawa Y, Aoyama T, Murakami A, et al. Genetic basis of early-onset, maturity-onset diabetes of the young-like diabetes in Japan and features of patients without mutations in the major MODY genes: Dominance of maternal inheritance. Pediatr Diabetes. (2018) 19:1164–72. doi: 10.1111/pedi.12714

PubMed Abstract | Crossref Full Text | Google Scholar

72. Yang YS, Kwak SH, Park KS. Update on monogenic diabetes in korea. Diabetes Metab J. (2020) 44:627–39. doi: 10.4093/dmj.2020.0214

PubMed Abstract | Crossref Full Text | Google Scholar

73. Vilsbøll T, Knop FK, Holst Official opponents JJ, Gough S, Rungby J, Høiriis Nielsen J, et al. Incretin hormones and maturity onset diabetes of the young – pathophysiological implications and anti-diabetic treatment potential. Danish Med J. (2015) 62:4860. Available online at: https://ugeskriftet.dk/dmj/incretin-hormones-and-maturity-onset-diabetes-young-pathophysiological-implications-and-ti.

PubMed Abstract | Google Scholar

74. Tan CSH, Ang SF, Lim SC. Response to multiple glucose-lowering agents in a sib-pair with a novel HNF1α (MODY3) variant. Eur J Hum Genet. (2020) 28:518–20. doi: 10.1038/s41431-019-0561-8

PubMed Abstract | Crossref Full Text | Google Scholar

75. Fajans SS, Brown MB. Administration of sulfonylureas can increase glucose-induced insulin secretion for decades in patients with maturity-onset diabetes off the young. Diabetes Care. (1993) 16:1254–61. doi: 10.2337/diacare.16.9.1254

PubMed Abstract | Crossref Full Text | Google Scholar

76. Fajans SS, Bell GI. MODY: History, genetics, pathophysiology, and clinical decision making. Diabetes Care. (2011) 34:1878–84. doi: 10.2337/dc11-0035

PubMed Abstract | Crossref Full Text | Google Scholar

77. Broome DT, Pantalone KM, Kashyap SR, Philipson LH. Approach to the patient with MODY-monogenic diabetes. J Clin Endocrinol Metab. (2021) 106:237–50. doi: 10.1210/clinem/dgaa710

PubMed Abstract | Crossref Full Text | Google Scholar

78. Fischell JM, Fishman PS. A multifaceted approach to optimizing AAV delivery to the brain for the treatment of neurodegenerative diseases. Front Neurosci. (2021) :15. doi: 10.3389/fnins.2021.747726

PubMed Abstract | Crossref Full Text | Google Scholar

79. Ramamurthy RM, Atala A, Porada CD, Almeida-Porada G. Organoids and microphysiological systems: Promising models for accelerating AAV gene therapy studies. Front Immunol. (2022) :13. doi: 10.3389/fimmu.2022.1011143

PubMed Abstract | Crossref Full Text | Google Scholar

80. Mays LE, Wang L, Lin J, Bell P, Crawford A, Wherry EJ, et al. AAV8 induces tolerance in murine muscle as a result of poor APC transduction, T cell exhaustion, and minimal MHCI upregulation on target cells. Mol Ther. (2014) 22:28–41. doi: 10.1038/mt.2013.134

PubMed Abstract | Crossref Full Text | Google Scholar

81. Hynes RO. Integrins: bidirectional, allosteric signaling machines. Cell. (2002) 110:673–87. doi: 10.1016/s0092-8674(02)00971-6

PubMed Abstract | Crossref Full Text | Google Scholar

82. Körbelin J, Sieber T, Michelfelder S, Lunding L, Spies E, Hunger A, et al. Pulmonary targeting of adeno-associated viral vectors by next-generation sequencing-guided screening of random capsid displayed peptide libraries. Mol Ther. (2016) 24:1050–61. doi: 10.1038/mt.2016.62

PubMed Abstract | Crossref Full Text | Google Scholar

83. Bennett J, Wellman J, Marshall KA, McCague S, Ashtari M, DiStefano-Pappas J, et al. Safety and durability of effect of contralateral-eye administration of AAV2 gene therapy in patients with childhood-onset blindness caused by RPE65 mutations: a follow-on phase 1 trial. Lancet. (2016) 388:661–72. doi: 10.1016/S0140-6736(16)30371-3

PubMed Abstract | Crossref Full Text | Google Scholar

84. Naso MF, Tomkowicz B, Perry WL, Strohl WR. Adeno-associated virus (AAV) as a vector for gene therapy. BioDrugs. (2017) 31:317–34. doi: 10.1007/s40259-017-0234-5

PubMed Abstract | Crossref Full Text | Google Scholar

85. Testa F, Maguire AM, Rossi S, Pierce EA, Melillo P, Marshall K, et al. Three-year follow-up after unilateral subretinal delivery of adeno-associated virus in patients with leber congenital amaurosis type 2. Ophthalmology. (2013) 120:1283–91. doi: 10.1016/j.ophtha.2012.11.048

PubMed Abstract | Crossref Full Text | Google Scholar

86. BonDurant LD, Potthoff MJ. Fibroblast growth factor 21: A versatile regulator of metabolic homeostasis. Annu Rev Nutr. (2018) 38:173–96. doi: 10.1146/annurev-nutr-071816-064800

PubMed Abstract | Crossref Full Text | Google Scholar

87. Kharitonenkov A, Shiyanova TL, Koester A, Ford AM, Micanovic R, Galbreath EJ, et al. FGF-21 as a novel metabolic regulator. J Clin Invest. (2005) 115:1627–35. doi: 10.1172/JCI23606

PubMed Abstract | Crossref Full Text | Google Scholar

88. Adams AC, Coskun T, Irizarry Rovira AR, Schneider MA, Raches DW, Micanovic R, et al. Fundamentals of FGF19 & FGF21 action in vitro and in vivo. PloS One. (2012) 7:e38438. doi: 10.1371/journal.pone.0038438

PubMed Abstract | Crossref Full Text | Google Scholar

89. Casana E, Jimenez V, Jambrina C, Sacristan V, Muñoz S, Rodo J, et al. AAV-mediated BMP7 gene therapy counteracts insulin resistance and obesity. Mol Ther - Methods Clin Dev. (2022) 25:190–204. doi: 10.1016/j.omtm.2022.03.007

PubMed Abstract | Crossref Full Text | Google Scholar

90. Vázquez-Borrego MC, del Río-Moreno M, Pyatkov M, Sarmento-Cabral A, Mahmood M, Pelke N, et al. Direct and systemic actions of growth hormone receptor (GHR)-signaling on hepatic glycolysis, de novo lipogenesis and insulin sensitivity, associated with steatosis. Metabolism. (2023) 144:155589. doi: 10.1016/j.metabol.2023.155589

PubMed Abstract | Crossref Full Text | Google Scholar

91. Casana Lorente E, Jimenez V, Garcia M, Casellas A, Morró M, Pujol A, et al. 826-P: treatment of MODY3 disease by AAV-hnf1a-mediated gene therapy. Diabetes. (2023) 72:826–P. doi: 10.2337/db23-826-P

Crossref Full Text | Google Scholar

92. Jaén ML, Vilà L, Elias I, Jimenez V, Rodó J, Maggioni L, et al. Long-term efficacy and safety of insulin and glucokinase gene therapy for diabetes: 8-year follow-up in dogs. Mol Ther - Methods Clin Dev. (2017) 6:1–7. doi: 10.1016/j.omtm.2017.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

93. Goncharenko A, Trutneva K, Deviatkin A, Yakovleva A, Ivlev E, Belousov P, et al. Immunization of mice with AAV-mPTH or AAV-mPTH-GPI-vector vaccines against A parathyroid hormone induced different T-cell proliferation kinetics of splenocytes. Curr Trends Biomedical Eng & Biosci. (2024) 23:556101. doi: 10.19080/CTBEB.2024.23.556101

Crossref Full Text | Google Scholar

94. Deepa SS, Dong LQ. APPL1: role in adiponectin signaling and beyond. Am J Physiology-Endocrinology Metab. (2009) 296:E22–36. doi: 10.1152/ajpendo.90731.2008

PubMed Abstract | Crossref Full Text | Google Scholar

95. Wang C, Mao X, Wang L, Liu M, Wetzel MD, Guan KL, et al. Adiponectin sensitizes insulin signaling by reducing p70 S6 kinase-mediated serine phosphorylation of IRS-1. J Biol Chem. (2007) 282:7991–6. doi: 10.1074/jbc.M700098200

PubMed Abstract | Crossref Full Text | Google Scholar

96. Kim SH. Maturity-onset diabetes of the young: What do clinicians need to know? Diabetes Metab J. (2015) 39:468–77. doi: 10.4093/dmj.2015.39.6.468

PubMed Abstract | Crossref Full Text | Google Scholar

97. Torsvik J, Johansson BB, Dalva M, Marie M, Fjeld K, Johansson S, et al. Endocytosis of secreted carboxyl ester lipase in a syndrome of diabetes and pancreatic exocrine dysfunction. J Biol Chem. (2014) 289:29097–111. doi: 10.1074/jbc.M114.574244

PubMed Abstract | Crossref Full Text | Google Scholar

98. Xiao X, Jones G, Sevilla WA, Stolz DB, Magee KE, Haughney M, et al. A carboxyl ester lipase (CEL) mutant causes chronic pancreatitis by forming intracellular aggregates that activate apoptosis. J Biol Chem. (2016) 291:23224–36. doi: 10.1074/jbc.M116.734384

PubMed Abstract | Crossref Full Text | Google Scholar

99. Kahraman S, Dirice E, Basile G, Diegisser D, Alam J, Johansson BB, et al. Abnormal exocrine–endocrine cell cross-talk promotes β-cell dysfunction and loss in MODY8. Nat Metab. (2022) 4:76–89. doi: 10.1038/s42255-021-00516-2

PubMed Abstract | Crossref Full Text | Google Scholar

100. Søvik O, Irgens HU, Molnes J, Sagen JV, Bjørkhaug L, Raeder H, et al. Monogenic diabetes mellitus in Norway. Norsk Epidemiologi. (2013) 23:55–60. doi: 10.5324/nje.v23i1.1603

Crossref Full Text | Google Scholar

101. Johansen A, Ek J, Mortensen HB, Pedersen O, Hansen T. Half of clinically defined maturity-onset diabetes of the young patients in Denmark do not have mutations in HNF4A, GCK, and TCF1. J Clin Endocrinol Metab. (2005) 90:4607–14. doi: 10.1210/jc.2005-0196

PubMed Abstract | Crossref Full Text | Google Scholar

102. Weinreich SS, Bosma A, Henneman L, Rigter T, Spruijt CM, Grimbergen AJ, et al. A decade of molecular genetic testing for MODY: a retrospective study of utilization in The Netherlands. Eur J Hum Genet. (2015) 23:29–33. doi: 10.1038/ejhg.2014.59

PubMed Abstract | Crossref Full Text | Google Scholar

103. Schober E, Rami B, Grabert M, Thon A, Kapellen T, Reinehr T, et al. Phenotypical aspects of maturity-onset diabetes of the young (MODY diabetes) in comparison with Type 2 diabetes mellitus (T2DM) in children and adolescents: Experience from a large multicentre database. Diabetic Med. (2009) 26:466–73. doi: 10.1111/j.1464-5491.2009.02720.x

PubMed Abstract | Crossref Full Text | Google Scholar

104. Pruhova S, Ek J, Lebl J, Sumnik Z, Saudek F, Andel M, et al. Genetic epidemiology of MODY in the Czech republic: new mutations in the MODY genes HNF-4α, GCK and HNF-1α. Diabetologia. (2003) 46:291–5. doi: 10.1007/s00125-002-1010-7

PubMed Abstract | Crossref Full Text | Google Scholar

105. Lorini R, Klersy C, D’Annunzio G, Massa O, Minuto N, Iafusco D, et al. Maturity-onset diabetes of the young in children with incidental hyperglycemia: A multicenter Italian study of 172 families. Diabetes Care. (2009) 32:1864–6. doi: 10.2337/dc08-2018

PubMed Abstract | Crossref Full Text | Google Scholar

106. Tatsi C, Kanaka-Gantenbein C, Vazeou-Gerassimidi A, Chrysis D, Delis D, Tentolouris N, et al. The spectrum of HNF1A gene mutations in Greek patients with MODY3: relative frequency and identification of seven novel germline mutations. Pediatr Diabetes. (2013) 14:526–34. doi: 10.1111/pedi.2013.14.issue-7

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: maturity-onset diabetes of the young (MODY), autosomal dominant inheritance, diabetes monogenic forms, gene therapy, AAV-vectors, European and Asian populations

Citation: Dzhemileva LU, Zakharova EN, Goncharenko AO, Vorontsova MV, Rumyantsev SA, Mokrysheva NG, Loguinova MY and Chekhonin VP (2025) Current views on etiology, diagnosis, epidemiology and gene therapy of maturity onset diabetes in the young. Front. Endocrinol. 15:1497298. doi: 10.3389/fendo.2024.1497298

Received: 16 September 2024; Accepted: 27 December 2024;
Published: 20 January 2025.

Edited by:

Marcia Hiriart, Universidad Nacional Autonoma de Mexico, Mexico

Reviewed by:

Yen-Shan Chen, Purdue University Indianapolis, United States
Teresa Tusie, National Autonomous University of Mexico, Mexico

Copyright © 2025 Dzhemileva, Zakharova, Goncharenko, Vorontsova, Rumyantsev, Mokrysheva, Loguinova and Chekhonin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lilya U. Dzhemileva, bGlseWEuZW5kb2NyaW5jZW50ckBnbWFpbC5jb20=

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