Pancreatic Proteins Increase Sensitivity of Type 1 Diabetes Tests
|
By LabMedica International staff writers Posted on 27 Sep 2017 |

Image: An illustration of the ZnT8 protein imbedded in a fatty membrane and attached to the P-Gold Assay (Photo courtesy of Dr. Dax Fu).
There are approximately 29.1 million people living with diabetes and about 18,000 children in the USA are diagnosed with type 1 diabetes, with diagnoses peaking around the age of 14. The disease is controllable with insulin injections, pumps and constant blood sugar testing.
A novel antibody detection technology has been developed that holds promise for improving the accuracy of diagnostic tests for type 1 diabetes in young children and making population wide screening practical. The technology could help clinicians catch the disorder earlier in life before symptoms such as sudden weight loss, extreme hunger, blurred vision and complications such as hyperglycemia, ketoacidosis and nerve damage occur.
Scientists at Johns Hopkins School of Medicine (Baltimore, MD, USA) and their colleagues from other institutions developed the technology enables screening for more autoimmune antibodies implicated in type 1 diabetes than current tests by incorporating a full-length pancreatic protein, called the pancreatic zinc transport 8 (ZnT8), that is targeted for autoimmune attack in people with the disease. By improving the accuracy of this test, the teams hope to catch the disease earlier and extend testing to all people.
To create the structure, the team needed to produce large amounts of the ZnT8 protein, and they did so by inserting a short sequence of DNA, called a plasmid, encoding the gene for ZnT8 into a protein production host derived from human embryonic kidney cells in the laboratory. They then isolated the protein from the cells and inserted it into the membrane and tested the efficacy of the structure for detecting the autoimmune antibodies that recognize ZnT8 on a highly sensitive assay, known as a nanostructured, plasmonic near-infrared fluorescence enhancing pGOLD.
Multiplexed assays using pGOLD were also developed for simultaneous detection of ZnT8A, islet antigen 2 autoantibody, and glutamic acid decarboxylase autoantibody for diagnosing T1D. The group evaluated 307 human blood samples using this test, 138 from type 1 diabetes patients and 169 from healthy individuals. The test correctly identified 76% of the samples from type 1 diabetes patients and accurately identified 97% of patients without the disease, making it one of the best assays for ZnT8 autoantibodies to date.
Hao Wan, PhD, a postdoctoral fellow at Stanford University (Stanford, CA, USA) and first author of the paper, said, “The pGOLD-based assay demonstrates superior sensitivity and high-throughput ability with a much lower sample requirement compared to the existing clinical tests. The new technology will ultimately be combined with current tests to reach the critical 99% accuracy to begin implementing type 1 diabetes tests across the entire population.” The study was published on September 5, 2017, in the journal Proceedings of the National Academy of Sciences.
Related Links:
Johns Hopkins School of Medicine
Stanford University
A novel antibody detection technology has been developed that holds promise for improving the accuracy of diagnostic tests for type 1 diabetes in young children and making population wide screening practical. The technology could help clinicians catch the disorder earlier in life before symptoms such as sudden weight loss, extreme hunger, blurred vision and complications such as hyperglycemia, ketoacidosis and nerve damage occur.
Scientists at Johns Hopkins School of Medicine (Baltimore, MD, USA) and their colleagues from other institutions developed the technology enables screening for more autoimmune antibodies implicated in type 1 diabetes than current tests by incorporating a full-length pancreatic protein, called the pancreatic zinc transport 8 (ZnT8), that is targeted for autoimmune attack in people with the disease. By improving the accuracy of this test, the teams hope to catch the disease earlier and extend testing to all people.
To create the structure, the team needed to produce large amounts of the ZnT8 protein, and they did so by inserting a short sequence of DNA, called a plasmid, encoding the gene for ZnT8 into a protein production host derived from human embryonic kidney cells in the laboratory. They then isolated the protein from the cells and inserted it into the membrane and tested the efficacy of the structure for detecting the autoimmune antibodies that recognize ZnT8 on a highly sensitive assay, known as a nanostructured, plasmonic near-infrared fluorescence enhancing pGOLD.
Multiplexed assays using pGOLD were also developed for simultaneous detection of ZnT8A, islet antigen 2 autoantibody, and glutamic acid decarboxylase autoantibody for diagnosing T1D. The group evaluated 307 human blood samples using this test, 138 from type 1 diabetes patients and 169 from healthy individuals. The test correctly identified 76% of the samples from type 1 diabetes patients and accurately identified 97% of patients without the disease, making it one of the best assays for ZnT8 autoantibodies to date.
Hao Wan, PhD, a postdoctoral fellow at Stanford University (Stanford, CA, USA) and first author of the paper, said, “The pGOLD-based assay demonstrates superior sensitivity and high-throughput ability with a much lower sample requirement compared to the existing clinical tests. The new technology will ultimately be combined with current tests to reach the critical 99% accuracy to begin implementing type 1 diabetes tests across the entire population.” The study was published on September 5, 2017, in the journal Proceedings of the National Academy of Sciences.
Related Links:
Johns Hopkins School of Medicine
Stanford University
Latest Clinical Chem. News
- New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
- Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
- Study Compares Analytical Performance of Quantitative Hepatitis B Surface Antigen Assays
- Blood Test Could Predict and Identify Early Relapses in Myeloma Patients
- Compact Raman Imaging System Detects Subtle Tumor Signals
- Noninvasive Blood-Glucose Monitoring to Replace Finger Pricks for Diabetics
- POC Breath Diagnostic System to Detect Pneumonia-Causing Pathogens
- Online Tool Detects Drug Exposure Directly from Patient Samples
- Chemical Imaging Probe Could Track and Treat Prostate Cancer
- Mismatch Between Two Common Kidney Function Tests Indicates Serious Health Problems
- VOCs Show Promise for Early Multi-Cancer Detection
- Portable Raman Spectroscopy Offers Cost-Effective Kidney Disease Diagnosis at POC
- Gold Nanoparticles to Improve Accuracy of Ovarian Cancer Diagnosis
- Simultaneous Cell Isolation Technology Improves Cancer Diagnostic Accuracy
- Simple Non-Invasive Hair-Based Test Could Speed ALS Diagnosis
- Paper Strip Saliva Test Detects Elevated Uric Acid Levels Without Blood Draws
Channels
Molecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreHematology
view channel
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read more
Fast and Easy Test Could Revolutionize Blood Transfusions
Blood transfusions are a cornerstone of modern medicine, yet red blood cells can deteriorate quietly while sitting in cold storage for weeks. Although blood units have a fixed expiration date, cells from... Read more
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read morePathology
view channel
Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
Developing new cancer immunotherapies is a slow, costly, and high-risk process, particularly for CAR T cell treatments that must precisely recognize cancer-specific antigens. Small differences in tumor... Read more
First-Of-Its-Kind Test Identifies Autism Risk at Birth
Autism spectrum disorder is treatable, and extensive research shows that early intervention can significantly improve cognitive, social, and behavioral outcomes. Yet in the United States, the average age... Read moreTechnology
view channel
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more







