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- Title
Serum Mac-2 Binding Protein Levels Associate with Metabolic Parameters and Predict Liver Fibrosis Progression in Subjects with Fatty Liver Disease: A 7-Year Longitudinal Study.
- Authors
Kamada, Yoshihiro; Morishita, Koichi; Koseki, Masahiro; Nishida, Mayu; Asuka, Tatsuya; Naito, Yukiko; Yamada, Makoto; Takamatsu, Shinji; Sakata, Yasushi; Takehara, Tetsuo; Miyoshi, Eiji
- Abstract
Background: Mac-2 binding protein (M2BP) is a highly glycosylated secreted glycoprotein that is involved in immune defense and regulation. Our cross-sectional studies indicated that serum M2BP was a useful liver fibrosis biomarker for nonalcoholic fatty liver disease (NAFLD). In this study, we conducted a 7-year longitudinal study to investigate the significance of serum M2BP levels (baseline and at 7-year follow-up) and their relationships with other metabolic parameters of fatty liver disease. Methods: We enrolled 715 study subjects (521 male and 194 female) during health examinations. Study subjects received blood sampling tests and abdominal ultrasound tests at baseline and follow-up. Results: Univariate analyses demonstrated that serum M2BP levels were significantly correlated with various parameters related to metabolic risk (body mass index (BMI), systolic blood pressure, triglyceride, high density lipoprotein (HDL)-cholesterol) and metabolic syndrome diseases (obesity, hypertension, dyslipidemia, diabetes mellitus, fatty liver (FL)). Multiple logistic regression analyses demonstrated that BMI and FL were independent determinants for serum M2BP levels. Baseline serum M2BP levels were significant independent determinants for changes in platelet count, Fibrosis-4 (FIB4) index, and NAFLD fibrosis score. Higher serum M2BP levels (>1.80 μg/mL) strongly correlated with changes in the FIB4-index. Conclusions: The results of this study suggest that changes in serum M2BP levels reflect changes in specific metabolic disease-related parameters, and baseline serum M2BP levels could predict changes in liver fibrosis.
- Subjects
BIOMARKERS; BLOOD testing; FATTY liver; CIRRHOSIS of the liver; LONGITUDINAL method; METABOLIC disorders; STATISTICS; TUMOR antigens; ULTRASONIC imaging; MULTIPLE regression analysis; DISEASE progression; DESCRIPTIVE statistics; PLATELET count; DISEASE risk factors
- Publication
Nutrients, 2020, Vol 12, Issue 6, p1770
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu12061770