Diagnostic performance of Mac-2 binding protein glycosylation isomer (M2BPGi) in screening liver fibrosis in health checkups

Quantitative measurements of M2BPGi depend on liver fibrosis and inflammation

BACKGROUND

The relationship between liver fibrosis and inflammation and Mac-2-binding protein glycosylation isomer (M2BPGi) in patients with chronic liver disease (CLD) other than hepatitis C remains uncertain, owing to the limitations of qualitative methods. Here, we evaluated the influence of liver fibrosis and inflammation on quantitative M2BPGi (M2BPGi-Qt) in CLD, considering each etiology.

METHODS

We recruited 1373 patients with CLD. To evaluate the influence of liver fibrosis and inflammation on M2BPGi-Qt levels, we assessed M2BPGi-Qt levels at each fibrosis and activity stage within different etiologies of CLD based on pathological findings. Subsequently, we evaluated if the accuracy of fibrosis staging based on M2BPGi-Qt could be improved by considering the influence of liver inflammation.

RESULTS

In patients with viral hepatitis, non-alcoholic fatty liver disease, and primary biliary cholangitis, the median M2BPGi-Qt levels increased liver fibrosis progression. Median M2BPGi-Qt levels were not associated with the degree of fibrosis in patients with autoimmune hepatitis (AIH). Median M2BPGi-Qt levels increased with the progression of liver activity in all etiologies. A significant difference was found at each stage in AIH. Considering the liver inflammation, we established an algorithm, M2BPGi-Qt, to determine the alanine aminotransferase-to-platelet ratio (MAP-R) in liver cirrhosis (LC). The area under the receiver operating characteristic curve (AUC) of MAP-R was higher than that of the M2BPGi-Qt for detecting LC (AUC MAP-R = 0.759 and M2BPGi-Qt = 0.700, p < 0.001).

CONCLUSIONS

The quantitative measurement system for M2BPGi depends on liver fibrosis and inflammation, regardless of etiology. Liver inflammation complicates the interpretation of M2BPGi-Qt results when assessing the fibrosis stage.

Evaluation of Mac-2 binding protein glycosylation isomer (M2BPGi) as a diagnostic marker for staging liver fibrosis: a meta-analysis

Objective

This study aimed to assess the accuracy of Mac-2 binding protein glycosylation isomer (M2BPGi) in predicting the stage of liver fibrosis.

Methods

Articles published until October 10, 2023, were searched in the PubMed, Embase, Web of Science, and Cochrane Library databases. Pooled sensitivity, specificity, diagnostic odds ratio (DOR), summary receiver-operator curves (SROC), and Spearman's rank correlation coefficient were used to examine the accuracy of M2BPGi in predicting the stage of liver fibrosis. A 95% confidence interval (CI) was provided for each estimate.

Results

Twenty-four studies were included in this meta-analysis, including 3,839 patients with liver fibrosis, 409 of whom progressed to stage 4 or above. The pooled sensitivity, specificity, and area under the ROC (AUC) for M2BPGi predicting liver fibrosis ≥F3 were 0.74 (95% CI [0.65-0.82]), 0.84 (95% CI [0.76-0.89]), and 14.99 (95% CI [9.28-24.21]), respectively. The pooled sensitivity, specificity, and AUC for ≥F4 were 0.80 (95% CI [0.70-0.88]), 0.80 (95% CI [0.73-0.86]), and 16.43 (95% CI [0.84-0.90]), respectively.

Conclusion

Among different sample partitions, M2BPGi has the best diagnostic performance for liver fibrosis stage ≥4. Furthermore, the cutoff of 1-2 is more accurate than that of 0-1 or 2-3 for fibrosis ≥ F3 and ≥ F4.

Registration

CRD42023483260.

Macrophage-2-Binding Protein Glycosylation Isomer (M2BPGi) and AGAP Score as Markers of Noninvasive Test for Liver Fibrosis versus FibroScan in Chronic Hepatitis B Patients: A Retrospective Observational Study

Background

Liver biopsy as the gold standard for assessing the degree and diagnosis of fibrosis still has significant drawbacks, which make the emergence of a much less invasive diagnostic marker possible. M2BPGi levels and the AGAP score, the two newest serological markers, are known to have good sensitivity for detecting liver fibrosis. This study is aimed at determining the validity of examining M2BPGi levels and AGAP scores on the Fibroscan examination as markers of noninvasive test for liver fibrosis in chronic hepatitis B patients.

Methods

This is an observational, descriptive study with a retrospective design. This study used secondary data taken from medical records and blood specimen research materials of outpatients at the Hepatology Gastroenterology Polyclinic at a tertiary general hospital in West Java, Indonesia, with a diagnosis of chronic hepatitis B.

Results

There were 109 research subjects included. There were 73 (66.9%) subjects with no- or low-grade fibrosis and 36 (33.1%) with advanced fibrosis. The sensitivity and specificity of the M2BPGi were 88.9% and 61.6% (PPV 55.3%; NPV 91.8%; AUC 0.753), while the AGAP score was 47.2% and 100% (PPV 100%; NPV 79.3%; AUC 0.736). The combined M2BPGi level and the AGAP score showed a sensitivity of 80.9% and a specificity of 100% (PPV 100%; NPV 91.8%; AUC 0.905).

Conclusion

The AGAP score and M2BPGi levels together are a better way to measure the degree of liver fibrosis in people with chronic hepatitis B than either M2BPGi or the AGAP score alone.

Prognostication in NAFLD: physiological bases, clinical indicators, and newer biomarkers

Non-alcoholic fatty liver disease (NAFLD) is becoming an epidemic in Western countries. Notably, while the majority of NAFLD patients will not evolve until advanced liver disease, a minority of them will progress towards liver-related events. Therefore, risk stratification and prognostication are emerging as fundamental in order to optimize human and economic resources for the care of these patients.Liver fibrosis has been clearly recognized as the main predictor of poor hepatic and extrahepatic outcomes. However, a prediction based only on the stage of fibrosis is near-sighted and static, as it does not capture the propensity of disease to further progress, the speed of progression and their changes over time. These determinants, which result from the interaction between genetic predisposition and acquired risk factors (obesity, diabetes, etc.), express themselves in disease activity, and can be synthesized by biomarkers of hepatic inflammation and fibrogenesis.In this review, we present the currently available clinical tools for risk stratification and prognostication in NAFLD specifically with respect to the risk of progression towards hard hepatic outcomes, i.e., liver-related events and death. We also discuss about the genetic and acquired drivers of disease progression, together with the physiopathological bases of their come into action. Finally, we introduce the most promising biomarkers in the direction of repeatedly assessing disease activity over time, mainly in response to future therapeutic interventions.

Diagnostic Efficacy of Serum Mac-2 Binding Protein Glycosylation Isomer and Other Markers for Liver Fibrosis in Non-Alcoholic Fatty Liver Diseases

Background

Mac-2 binding protein glycosylation isomer (M2BPGi) has been established as a non-invasive biomarker for liver fibrosis. We evaluated the diagnostic efficacy of M2BPGi compared with those of other liver fibrosis markers in liver fibrosis in non-alcoholic fatty liver disease (NAFLD).

Methods

We analyzed serum M2BPGi levels in 113 NAFLD patients. A pathologist graded liver fibrosis histopathologically. The diagnostic efficacies of serum M2BPGi and other liver fibrosis markers (aspartate aminotransferase to platelet ratio index, fibrosis index based on four factors, and NAFLD fibrosis score [NFS]) were evaluated using correlation, area under the ROC curve (AUC), logistic regression, and C-statistics.

Results

Serum M2BPGi level and other liver fibrosis markers showed a moderate correlation with fibrosis grade. The AUC values of M2BPGi were 0.761, 0.819, 0.866, and 0.900 for diagnosing fibrosis (F)>0, F>1, F>2, and F>3, respectively. Logistic regression analysis showed M2BPGi as the only independent factor associated with F>2 and F>3. Although C-statistics showed that NFS was the best diagnostic factor for F>2 and F>3, M2BPGi with NFS had an increased C-statistics value, indicating that it is a better diagnostic model.

Conclusions

The serum M2BPGi level increased with liver fibrosis severity and could be a good biomarker for diagnosing advanced fibrosis and cirrhosis in NAFLD patients. A well-controlled, prospective study with a larger sample size is needed to validate the diagnostic power of M2BPGi and other fibrosis markers in NAFLD.

Measurements of Serum Mac-2-Binding Protein Glycosylation Isomer and Shear Wave Velocity in Health Checkups Are Useful in Screening for Non-Alcoholic Steatohepatitis

Liver-related mortality rates in patients with non-alcoholic steatohepatitis (NASH) increase with advancing liver fibrosis stage. The present study aimed to elucidate whether adding non-invasive liver fibrosis tests to a comprehensive health checkup system is useful for NASH screening. Both serum Mac-2-binding protein glycosylation isomer (M2BPGi) and point shear wave elastography (pSWE) using ultrasonography were performed for 483 health checkup subjects who consented to participate in this prospective study. Outcomes in positive subjects were surveyed 1 year later. Eighty-eight subjects (18%) showed positive results for at least one liver fibrosis test, with 63 subjects positive for pSWE, 33 subjects positive for M2BPGi, and 72 subjects showing no significant elevation of liver enzymes. The secondary consultation rate for positive subjects was 52% (46/88). However, as 15 of those 46 subjects visited a non-liver-specialist and could not undergo detailed examination, the secondary examination rate was only 35% (31/88). For the 31 subjects who received secondary examination, NASH was diagnosed in 14 subjects, other chronic liver disease (CLD) in 6 subjects, and no CLD in 11 subjects. Additional liver fibrosis tests using M2BPGi and pSWE appear useful in health checkups when screening for CLD, especially for NASH.

Liver Fibrosis in Non-alcoholic Fatty Liver Disease: From Liver Biopsy to Non-invasive Biomarkers in Diagnosis and Treatment

An increasing percentage of people have or are at risk to develop non-alcoholic fatty liver disease (NAFLD) worldwide. NAFLD comprises different stadia going from isolated steatosis to non-alcoholic steatohepatitis (NASH). NASH is a chronic state of liver inflammation that leads to the transformation of hepatic stellate cells to myofibroblasts. These cells produce extra-cellular matrix that results in liver fibrosis. In a normal situation, fibrogenesis is a wound healing process that preserves tissue integrity. However, sustained and progressive fibrosis can become pathogenic. This process takes many years and is often asymptomatic. Therefore, patients usually present themselves with end-stage liver disease e.g., liver cirrhosis, decompensated liver disease or even hepatocellular carcinoma. Fibrosis has also been identified as the most important predictor of prognosis in patients with NAFLD. Currently, only a minority of patients with liver fibrosis are identified to be at risk and hence referred for treatment. This is not only because the disease is largely asymptomatic, but also due to the fact that currently liver biopsy is still the golden standard for accurate detection of liver fibrosis. However, performing a liver biopsy harbors some risks and requires resources and expertise, hence is not applicable in every clinical setting and is unsuitable for screening. Consequently, different non-invasive diagnostic tools, mainly based on analysis of blood or other specimens or based on imaging have been developed or are in development. In this review, we will first give an overview of the pathogenic mechanisms of the evolution from isolated steatosis to fibrosis. This serves as the basis for the subsequent discussion of the current and future diagnostic biomarkers and anti-fibrotic drugs.

Clinical Utility of Mac-2 Binding Protein Glycosylation Isomer in Chronic Liver Diseases

An accurate evaluation of liver fibrosis is clinically important in chronic liver diseases. Mac-2 binding protein glycosylation isomer (M2BPGi) is a novel serum marker for liver fibrosis. In this review, we discuss the role of M2BPGi in diagnosing liver fibrosis in chronic hepatitis B and C, chronic hepatitis C after sustained virologic response (SVR), and nonalcoholic fatty liver disease (NAFLD). M2BPGi predicts not only liver fibrosis but also the hepatocellular carcinoma (HCC) development and prognosis in patients with chronic hepatitis B and C, chronic hepatitis C after SVR, NAFLD, and other chronic liver diseases. M2BPGi can also be used to evaluate liver function and prognosis in patients with cirrhosis. M2BPGi levels vary depending on the etiology and the presence or absence of treatment. Therefore, the threshold of M2BPGi for diagnosing liver fibrosis and predicting HCC development has to be adjusted according to the background and treatment status.

Diagnostic performance of Mac-2 binding protein glycosylation isomer (M2BPGi) in screening liver fibrosis in health checkups

BACKGROUND

Mild-to-moderate fibrosis is rarely diagnosed because the disease is asymptomatic in the early stage. The serum level of Mac-2 binding protein glycosylation isomer (M2BPGi) has been found to increase with the severity of liver fibrosis. The aim of this study was to determine the diagnostic performance of 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.

METHODS

This cross-sectional study consecutively selected subjects at health examinations who underwent MRE and M2BPGi testing at eight health promotion centers in Korea between January and September 2019. The serum M2BPGi level was measured using the chemiluminescence enzyme immunoassay method. The measured levels were indexed using the cutoff index (COI). COI values of M2BPGi were compared with the MRE results.

RESULTS

The median (interquartile) values of 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 (P < .0001). 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.

CONCLUSION

Serum M2BPGi was useful for screening significant and advanced fibrosis in health checkups.