Researchers Identify Genes Linked to the Development of Monogenic Diabetes
By LabMedica International staff writers Posted on 02 Mar 2020 |

Image: Photomicrograph of a pancreatic islet, showing insulin-producing beta cells (Photo courtesy of Wikimedia Commons)
By studying a well controlled group of young Lithuanian diabetes patients, researchers were able to identify genes linked to the development of the rare monogenic form of diabetes.
Monogenic diabetes, which results from a mutation in one of the genes involved in the regulation of blood sugar levels, represents approximately one to 4% of all cases of the disease. Monogenic diabetes is frequently confused with type I or type II diabetes, and more than 90% of monogenic cases are misdiagnosed.
To correct this situation, investigators at the Université de Genève (Switzerland) and the Lithuanian University of Health Sciences (Vilnius) took advantage of the fact that Lithuania has a register of all diabetic children, which also includes most of the young adults. For the current study, the investigators assessed 1209 pediatric and young adult diabetic patients for diabetes-related autoimmune antibodies. They then screened all antibody-negative patients using targeted high-throughput sequencing of more than 300 potential candidate genes.
Results revealed that in the group of 153 patients lacking autoimmune antibodies, 40.7% had monogenic diabetes, with the highest percentage (100%) in infants (diagnosis at ages 0–12 months), followed by those diagnosed at ages from one to 18 years (40.3%) and at 18 to 25 years (22.2%).
The overall prevalence of monogenic diabetes in diabetic youth in Lithuania was 3.5% (1.9% for glucokinase diabetes, 0.7% for hepatocyte nuclear factor 1 homeobox A, 0.2% for hepatocyte nuclear factor 4 alpha and ATP binding cassette subfamily C member 8, 0.3% for potassium inwardly rectifying channel subfamily J member 11, and 0.1% for insulin). Likely pathogenic variants were also detected in 11 additional genes.
"Hyperglycemia should therefore be considered as a symptom of various diseases, rather than a disease in itself, and different forms of diabetes should be better screened," said senior author Dr. Valérie Schwitzgebel, professor of pediatrics, gynaecology, and obstetrics at Université de Genève. "The earlier the actual cause is identified, the sooner appropriate treatments can be initiated, minimizing the risk for long term complications."
The monogenic diabetes paper was published in the February 21, 2020, online edition of the journal Diabetes.
Related Links:
Université de Genève
Lithuanian University of Health Sciences
Monogenic diabetes, which results from a mutation in one of the genes involved in the regulation of blood sugar levels, represents approximately one to 4% of all cases of the disease. Monogenic diabetes is frequently confused with type I or type II diabetes, and more than 90% of monogenic cases are misdiagnosed.
To correct this situation, investigators at the Université de Genève (Switzerland) and the Lithuanian University of Health Sciences (Vilnius) took advantage of the fact that Lithuania has a register of all diabetic children, which also includes most of the young adults. For the current study, the investigators assessed 1209 pediatric and young adult diabetic patients for diabetes-related autoimmune antibodies. They then screened all antibody-negative patients using targeted high-throughput sequencing of more than 300 potential candidate genes.
Results revealed that in the group of 153 patients lacking autoimmune antibodies, 40.7% had monogenic diabetes, with the highest percentage (100%) in infants (diagnosis at ages 0–12 months), followed by those diagnosed at ages from one to 18 years (40.3%) and at 18 to 25 years (22.2%).
The overall prevalence of monogenic diabetes in diabetic youth in Lithuania was 3.5% (1.9% for glucokinase diabetes, 0.7% for hepatocyte nuclear factor 1 homeobox A, 0.2% for hepatocyte nuclear factor 4 alpha and ATP binding cassette subfamily C member 8, 0.3% for potassium inwardly rectifying channel subfamily J member 11, and 0.1% for insulin). Likely pathogenic variants were also detected in 11 additional genes.
"Hyperglycemia should therefore be considered as a symptom of various diseases, rather than a disease in itself, and different forms of diabetes should be better screened," said senior author Dr. Valérie Schwitzgebel, professor of pediatrics, gynaecology, and obstetrics at Université de Genève. "The earlier the actual cause is identified, the sooner appropriate treatments can be initiated, minimizing the risk for long term complications."
The monogenic diabetes paper was published in the February 21, 2020, online edition of the journal Diabetes.
Related Links:
Université de Genève
Lithuanian University of Health Sciences
Latest Molecular Diagnostics News
- RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms
- First Of Its Kind Test Uses microRNAs to Predict Toxicity from Cancer Therapy
- Novel Cell-Based Assay Provides Sensitive and Specific Autoantibody Detection in Demyelination
- Novel Point-of-Care Technology Delivers Accurate HIV Results in Minutes
- Blood Test Rules Out Future Dementia Risk
- D-Dimer Testing Can Identify Patients at Higher Risk of Pulmonary Embolism
- New Biomarkers to Improve Early Detection and Monitoring of Kidney Injury
- Chemiluminescence Immunoassays Support Diagnosis of Alzheimer’s Disease
- Blood Test Identifies Multiple Biomarkers for Rapid Diagnosis of Spinal Cord Injury
- Highly Accurate Blood Test Diagnoses Alzheimer’s and Measures Dementia Progression
- Simple DNA PCR-Based Lab Test to Enable Personalized Treatment of Bacterial Vaginosis
- Rapid Diagnostic Test to Halt Mother-To-Child Hepatitis B Transmission
- Simple Urine Test Could Help Patients Avoid Invasive Scans for Kidney Cancer
- New Bowel Cancer Blood Test to Improve Early Detection
- Refined Test Improves Parkinson’s Disease Diagnosis
- New Method Rapidly Diagnoses CVD Risk Via Molecular Blood Screening
Channels
Clinical Chemistry
view channel
Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
Current sensors can measure various health indicators, such as blood glucose levels, in the body. However, there is a need to develop more accurate and sensitive sensor materials that can detect lower... Read more
Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
In regions where access to clinics for routine blood tests presents financial and logistical obstacles, HIV patients are increasingly able to collect and send a drop of blood using paper-based devices... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Deliver Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
Myasthenia gravis, an autoimmune disease, leads to muscle weakness that can affect a range of muscles, including those needed for basic actions like blinking, smiling, or moving. Researchers have long... Read more
AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
Lung adenocarcinoma, the most common form of non-small cell lung cancer (NSCLC), typically adopts one of six distinct growth patterns, often combining multiple patterns within a single tumor.... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more