Novel Glycoprotein Biomarker Evaluated for Liver Fibrosis
By LabMedica International staff writers Posted on 13 Apr 2020 |

Image: The HISCL-5000 is a fully automated immunoassay analyzer with a throughput of 200 tests per hour (Photo courtesy of Sysmex).
The main pathological consequence of chronic liver diseases is the continuous deposition of collagen fibers, which causes progressive liver fibrosis, and eventually cirrhosis. Mild‐to‐moderate fibrosis is rarely diagnosed because the disease is asymptomatic in the early stage.
While liver biopsy is the current gold standard for determining the fibrosis stage, it not only has its own limitations, such as the risk of sampling error, high rates of interobserver differences, risk of complications, and the high cost but is also not well accepted by patients. The utility of a recently discovered a novel serum glycomarker for liver fibrosis has been studied.
Scientists at the Korean Health Promotion Research Institute (Seoul, Korea) determine the diagnostic performance of Mac‐2 binding protein glycosylation isomer (M2BPGi) in screening liver fibrosis using magnetic resonance elastography (MRE) as a reference standard and to compare it with using the aspartate aminotransferase‐to‐platelet ratio (APRI) and the Fibrosis‐4 index (FIB‐4) in health checkups. The 236 examinees comprised 103 with normal subjects, 100 with fatty liver, five with chronic liver disease, five with liver cirrhosis, and 23 with HBsAg (+) based on ultrasonography or abdominal computed tomography.
Venous blood was drawn after an overnight fast for health checkups that included complete blood count (CBC), biochemical measurements, and M2BPGi. CBC and biochemical parameters were measured using the Sysmex XE‐2100D analyzer (Sysmex, Kobe, Japan) and the Hitachi 7600 analyzer (Hitachi, Tokyo, Japan). The serum M2BPGi level was measured using a chemiluminescence enzyme immunoassay method on an automated immunoassay analyzer, the Sysmex HISCL‐5000.
The median (interquartile) values of the cutoff index (COI) for fibrosis stages F0 (normal liver stiffness), F1 (mild fibrosis), F2 (significant fibrosis), and ≥F3 (advanced fibrosis) were 0.49 (0.34‐0.61), 0.48 (0.38‐0.68), 0.64 (0.43‐1.03), and 1.01 (0.75‐1.77), respectively. The AUCs of the COI for the screening of fibrosis stage ≥F1, ≥F2, and ≥F3 were 0.591, 0.698, and 0.853, respectively. Using a threshold of 0.75 for COI to exclude advanced fibrosis had a sensitivity, specificity, and negative predictive value of 80.0%, 77.9%, and 98.9%, respectively. The AUC for excluding advanced fibrosis was better for M2BPGi than for FIB‐4 and APRI.
The authors concluded that COI of M2BPGi was useful for the screening of significant and advanced fibrosis in health checkups. Screening for liver fibrosis could identify examinees with pre-symptomatic chronic liver disease susceptible to interventions. M2BPGi could also be integrated into a clinical algorithm to help primary care units to identify patients who should undergo MRE for diagnosing significant and advanced fibrosis. The study was published on March 29, 2020 in the Journal of Clinical Laboratory Analysis.
Related Links:
Korean Health Promotion Research Institute
Sysmex
Hitachi
While liver biopsy is the current gold standard for determining the fibrosis stage, it not only has its own limitations, such as the risk of sampling error, high rates of interobserver differences, risk of complications, and the high cost but is also not well accepted by patients. The utility of a recently discovered a novel serum glycomarker for liver fibrosis has been studied.
Scientists at the Korean Health Promotion Research Institute (Seoul, Korea) determine the diagnostic performance of Mac‐2 binding protein glycosylation isomer (M2BPGi) in screening liver fibrosis using magnetic resonance elastography (MRE) as a reference standard and to compare it with using the aspartate aminotransferase‐to‐platelet ratio (APRI) and the Fibrosis‐4 index (FIB‐4) in health checkups. The 236 examinees comprised 103 with normal subjects, 100 with fatty liver, five with chronic liver disease, five with liver cirrhosis, and 23 with HBsAg (+) based on ultrasonography or abdominal computed tomography.
Venous blood was drawn after an overnight fast for health checkups that included complete blood count (CBC), biochemical measurements, and M2BPGi. CBC and biochemical parameters were measured using the Sysmex XE‐2100D analyzer (Sysmex, Kobe, Japan) and the Hitachi 7600 analyzer (Hitachi, Tokyo, Japan). The serum M2BPGi level was measured using a chemiluminescence enzyme immunoassay method on an automated immunoassay analyzer, the Sysmex HISCL‐5000.
The median (interquartile) values of the cutoff index (COI) for fibrosis stages F0 (normal liver stiffness), F1 (mild fibrosis), F2 (significant fibrosis), and ≥F3 (advanced fibrosis) were 0.49 (0.34‐0.61), 0.48 (0.38‐0.68), 0.64 (0.43‐1.03), and 1.01 (0.75‐1.77), respectively. The AUCs of the COI for the screening of fibrosis stage ≥F1, ≥F2, and ≥F3 were 0.591, 0.698, and 0.853, respectively. Using a threshold of 0.75 for COI to exclude advanced fibrosis had a sensitivity, specificity, and negative predictive value of 80.0%, 77.9%, and 98.9%, respectively. The AUC for excluding advanced fibrosis was better for M2BPGi than for FIB‐4 and APRI.
The authors concluded that COI of M2BPGi was useful for the screening of significant and advanced fibrosis in health checkups. Screening for liver fibrosis could identify examinees with pre-symptomatic chronic liver disease susceptible to interventions. M2BPGi could also be integrated into a clinical algorithm to help primary care units to identify patients who should undergo MRE for diagnosing significant and advanced fibrosis. The study was published on March 29, 2020 in the Journal of Clinical Laboratory Analysis.
Related Links:
Korean Health Promotion Research Institute
Sysmex
Hitachi
Latest Immunology News
- Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
- Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
- Post-Treatment Blood Test Could Inform Future Cancer Therapy Decisions
- Cerebrospinal Fluid Test Predicts Dangerous Side Effect of Cancer Treatment
- New Test Measures Preterm Infant Immunity Using Only Two Drops of Blood
- Simple Blood Test Could Help Choose Better Treatments for Patients with Recurrent Endometrial Cancer
- Novel Analytical Method Tracks Progression of Autoimmune Diseases
- 3D Bioprinted Gastric Cancer Model Uses Patient-Derived Tissue Fragments to Predict Drug Response
- Blood Test for Fungal Infections Could End Invasive Tissue Biopsies
- Cutting-Edge Microscopy Technology Enables Tailored Rheumatology Therapies
- New Discovery in Blood Immune Cells Paves Way for Parkinson's Disease Diagnostic Test
- AI Tool Uses Routine Blood Tests to Predict Immunotherapy Response for Various Cancers
- Blood Test Can Predict How Long Vaccine Immunity Will Last
- Microfluidic Chip-Based Device to Measure Viral Immunity
Channels
Molecular Diagnostics
view channel
Simple Blood Test Improves Heart Attack and Stroke Risk Prediction
Troponin is a protein found in heart muscle cells that is released into the bloodstream when the heart is damaged. High-sensitivity troponin blood tests are commonly used in hospitals to diagnose heart... Read more
Blood Biomarker Test Could Detect Genetic Predisposition to Alzheimer’s
New medications for Alzheimer’s disease, the most common form of dementia, are now becoming available. These treatments, known as “amyloid antibodies,” work by promoting the removal of small deposits from... Read more
Novel Autoantibody Against DAGLA Discovered in Cerebellitis
Autoimmune cerebellar ataxias are strongly disabling disorders characterized by an impaired ability to coordinate muscle movement. Cerebellar autoantibodies serve as useful biomarkers to support rapid... Read more
Gene-Based Blood Test Accurately Predicts Tumor Recurrence of Advanced Skin Cancer
Melanoma, an aggressive form of skin cancer, becomes extremely difficult to treat once it spreads to other parts of the body. For patients with metastatic melanoma tumors that cannot be surgically removed... 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 Delivers 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
Spit Test More Accurate at Identifying Future Prostate Cancer Risk
Currently, blood tests that measure the level of a protein called prostate-specific antigen (PSA) are commonly used to identify men at higher risk for prostate cancer. This test is typically used based... Read more
DNA Nanotechnology Boosts Sensitivity of Test Strips
Since the Covid-19 pandemic, most people have become familiar with paper-based rapid test strips, also known as lateral flow immunoassays (LFIAs). These tests are used to quickly detect biomarkers that... Read more
Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
Cell therapy holds great potential in treating diseases such as cancers, inflammatory conditions, and chronic degenerative disorders by manipulating or replacing cells to restore function or combat disease.... Read moreTechnology
view channel
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
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