Abstract
Aim:
Osteocalcin is involved in the progression of nonalcoholic fatty liver disease (NAFLD) in animal models and humans. In this study we investigated the relationship between serum osteocalcin levels and NAFLD in postmenopausal Chinese women.
Methods:
A total of 733 postmenopausal women (age range: 41–78 years) with normal blood glucose levels were enrolled in this cross-sectional study. Women taking lipid-lowering or anti-hypertensive drugs were excluded. Serum osteocalcin levels were assessed using an electrochemiluminescence immunoassay. The degree of NAFLD progression for each subject was assessed through ultrasonography. The fatty liver index (FLI) of each subject was calculated to quantify the degree of liver steatosis.
Results:
The median level of serum osteocalcin for all subjects enrolled was 21.99 ng/mL (interquartile range: 17.84–26.55 ng/mL). Subjects with NAFLD had significantly lower serum osteocalcin levels (18.39 ng/mL; range: 16.03–23.64 ng/mL) compared with those without NAFLD (22.31 ng/mL; range: 18.55–27.06 ng/mL; P<0.01). Serum osteocalcin levels decreased with incre¬mental changes in the FLI value divided by the quartile (P-value for trend<0.01). The serum osteocalcin levels showed a negative correlation with the FLI values, even after adjusting for confounding factors (standardized β=−0.124; P<0.01). Binary logistic regression analysis identified an individual's serum osteocalcin level as an independent risk factor for NAFLD (odds ratio: 0.951; 95% confidence interval: 0.911–0.992; P=0.02).
Conclusion:
Serum osteocalcin levels are inversely correlated with NAFLD in postmenopausal Chinese women with normal blood glucose levels.
Keywords: osteocalcin, nonalcoholic fatty liver disease, postmenopause, Chinese women
Introduction
The liver plays a crucial role in regulating the levels of various molecules and energy production. Nonalcoholic fatty liver disease (NAFLD) is a disorder characterized by excessive accumulations of fat in liver hepatocytes and is associated with a variety of metabolic disorders. Furthermore, due to its high prevalence, NAFLD has triggered much public concern. Osteocalcin is a protein that is specifically synthesized and secreted by osteoblasts, and osteoblast function can be evaluated by measuring serum osteocalcin concentrations. Moreover, osteocalcin has recently been shown to play an important role in regulating energy metabolism1,2.
In animal studies, osteocalcin treatment protected against high-fat diet-induced insulin resistance and substantially reduced the pathological signs of nonalcoholic steatohepatitis (eg, ballooning degeneration, steatosis, and fibrosis). Furthermore, osteocalcin produced an overall reduction in NAFLD activity scores3. Serum osteocalcin levels in humans are closely associated with the presence or absence of NAFLD. Yilmaz et al have reported that compared with control subjects, patients with biopsy-proven NAFLD had lower serum concentrations of osteocalcin and that serum osteocalcin concentrations were significantly associated with both serum transaminase activity and the extent of hepatocyte ballooning4. Additionally, a community-based study of Chinese men found a negative correlation between serum osteocalcin levels and the presence of NAFLD, as diagnosed by ultrasonography5.
Serum osteocalcin concentrations are influenced by gender, as well as menopausal status among women6; however, few studies have examined the relationship between osteocalcin and NAFLD in women. A recent study has shown that serum osteocalcin levels in Korean women were independently and negatively correlated with NAFLD7; however, several confounding factors present in the study participants (e.g., glucose metabolism disorders and relevant medications) were not fully considered. To the best of our knowledge, no previous study has focused on the relationship between serum osteocalcin levels and NAFLD in Chinese women. Menopause and its accompanying estrogen loss greatly increase the risk for metabolic disorders in women. Therefore, to explicitly examine the relationship between serum osteocalcin levels and NAFLD in Chinese postmenopausal women, women with hyperglycemia or women who were undergoing medical treatments or taking medications were excluded from this study.
Materials and methods
Study subjects
All participants in this cross-sectional study were selected from individuals who were previously enrolled in the Shanghai Obesity Study (SHOS), which was conducted from December 2009 to December 20118. Each participant completed a questionnaire designed to gather demographic and lifestyle information as well as information regarding the subject's past medical history and current use of medications. All study participants had normal blood glucose levels, as defined by the following World Health Organization 1999 criteria: a fasting plasma glucose (FPG) level<6.1 mmol/L and a 2-h plasma glucose (2hPG) level<7.8 mmol/L9. Subjects taking any medication that would likely affect the progression of NAFLD and/or serum osteocalcin concentrations (e.g., anti-hypertensives, glucocorticoids or lipid lowering drugs) were excluded from the study. Additionally, individuals with a history of malignancy, stroke, cardiovascular disease, renal dysfunction, and hypo- or hyperthyroidism, as well as individuals with an active infectious condition or who were current tobacco or alcohol users were also excluded from the study. The history of menopause for each woman was determined through the questionnaire. Menopause is defined as at least 12 consecutive months of amenorrhea, without other medical causes for amenorrhea. Finally, a total of 733 postmenopausal women who provided complete eligibility data were enrolled in the study, and their results were included in our final analysis. The study methods and potential risks were fully explained to all subjects, and each subject provided written informed consent prior to completing the survey. The study protocol was reviewed and approved by the Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People's Hospital, and all procedures were performed in accordance with the Declaration of Helsinki.
Anthropometric and laboratory measurements
Each subject received a physical examination that included height, weight, waist circumference, and blood pressure measurements. Body mass index (BMI) was defined as the subject's weight in kilograms divided by the square of their height in meters. A fasting blood sample was collected from each subject after 10 h of overnight fasting, and a 2-h post-load blood sample was collected after a 75-g oral glucose tolerance test for use in various laboratory assays. Anthropometric and laboratory measurements were obtained using standard techniques, as previously described10,11. The biochemical blood indices analyzed in this study included measurements of FPG, 2hPG, glycated hemoglobin (HbA1c), serum fasting insulin (FINS), serum total cholesterol (TC), serum triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transpeptidase (GGT), and C reactive protein (CRP). The homeostasis model assessment as an index of insulin resistance (HOMA-IR) was defined as FPG (mmol/L)×FINS (mU/L)/22.5. Overnight fasting venous blood specimens were obtained to test for serum osteocalcin concentrations. Total osteocalcin levels were measured using an electrochemiluminescence immunoassay (Roche Diagnostics, GmbH, Mannheim, Baden-Württemberg, Germany) on Roche Elecsys 2010 (Elecsys module) immunoassay analyzer, with calculated intra-assay and inter-assay coefficients of variation of 1.2% to 4.0% and 1.7% to 6.5%, respectively8.
Ultrasonography
All participants received an abdominal ultrasonographic examination using a Voluson 730 Expert B-mode ultrasonogram device (GE Healthcare, 5.0-MHz transducer, Waukesha, WI, USA). All examinations were performed by the same experienced ultrasonographer, who was blinded to each subject's medical/demographic information and test results10.
Diagnosis of NAFLD
NAFLD was defined based on the criteria used in the 2010 revised guidelines for the management of NAFLD, published by the Chinese Hepatopathy Association12. Because we were unable to perform liver biopsies in this study, NAFLD was diagnosed based on images obtained during an ultrasound examination of the liver. Diffuse fatty liver was diagnosed when no other diagnosis could explain a subject's clinical signs and symptoms. Subjects with the following liver diseases were excluded from the study because their clinical findings might have interfered with the NAFLD diagnosis: viral hepatitis, alcohol- or drug-induced liver disease, total alcohol intake levels of 70 g per week, total parenteral nutrition-induced steatosis, autoimmune liver disease, and hepatolenticular degeneration. The fatty liver index (FLI) for each subject was calculated using the following equation to quantitatively assess the degree of liver steatosis:
Statistical analyses
All statistical analyses were performed using SPSS (Statistical Package for the Social Sciences) for Windows, Version 16.0 (SPSS Inc, Chicago, IL, USA). Normally distributed data are expressed as the mean value±standard deviation (SD), and data with a skewed distribution are presented as the median value with an interquartile range. An independent samples t-test and Mann-Whitney U-tests were used to compare differences in normally distributed data and skewed data, respectively, when searching for differences in clinical parameters in the NAFLD and non-NAFLD groups. One-way ANOVA was used for trend analyses. A linear regression analysis was performed to examine the independent relationships between the serum osteocalcin levels and FLI values. Binary logistic regression analysis was performed to identify the independent risk factors for NAFLD, and P-values<0.05 were considered to be statistically significant.
Results
Serum osteocalcin levels were significantly lower in NAFLD subjects
The anthropometric and metabolic characteristics of all study participants are summarized in Table 1. A total of 733 postmenopausal women (mean age, 56.1±4.5 years; range, 41–78 years), were enrolled in the study; among these women, 130 (17.7%) were diagnosed with NAFLD. For all subjects, the median duration of menopause was 6 years (interquartile range, 3–10 years). The median serum osteocalcin level for all subjects was 21.99 ng/mL (interquartile range, 17.84–26.55 ng/mL). The correlation analysis showed that the serum osteocalcin levels were positively correlated with the duration of menopause (r=0.089, P=0.016).
Table 1. General characteristics of the study subjects.
Variables | Total | non-NAFLD | NAFLD | P |
---|---|---|---|---|
n | 733 | 603 | 130 | – |
Age (year) | 56.1±4.5 | 56.2±4.4 | 56.0±5.0 | 0.703 |
BMI (kg/m2) | 22.7±2.9 | 22.1±2.5 | 25.5±2.8 | < 0.001 |
Waist circumference (cm) | 78.1±8.0 | 76.4±7.3 | 85.7±6.9 | < 0.001 |
SBP (mmHg) | 120.0 (110.0–129.3) | 120.0 (110.0–128.0) | 120.3 (113.3–130.0) | 0.015 |
DBP (mmHg) | 75.3 (69.7–80.0) | 74.7 (69.3–80.0) | 77.7 (71.3–80.7) | 0.062 |
FPG (mmol/L) | 5.2±0.4 | 5.1±0.4 | 5.3±0.4 | < 0.001 |
2hPG (mmol/L) | 6.1±1.0 | 6.0±1.0 | 6.4±1.0 | < 0.001 |
HbA1c (%) | 5.6 (5.4–5.8) | 5.6 (5.4–5.8) | 5.7 (5.5–5.9) | 0.038 |
FINS (mU/L) | 6.7 (4.9–9.1) | 6.3 (4.5–8.1) | 9.9 (7.3–13.1) | < 0.001 |
HOMA-IR | 1.6 (1.1–2.1) | 1.4 (1.0–1.9) | 2.3 (1.7–2.9) | < 0.001 |
TC (mmol/L) | 5.54±0.95 | 5.50±0.93 | 5.74±1.02 | 0.011 |
TG (mmol/L) | 1.18 (0.85–1.59) | 1.09 (0.80–1.45) | 1.58 (1.22–2.28) | < 0.001 |
HDL-C (mmol/L) | 1.61±0.35 | 1.66±0.35 | 1.42±0.26 | < 0.001 |
LDL-C (mmol/L) | 3.44±0.82 | 3.39±0.81 | 3.63±0.86 | 0.003 |
ALT (U/L) | 16.0 (12.0–21.0) | 15.0 (12.0–20.0) | 21.5 (16.0–28.0) | < 0.001 |
AST (U/L) | 21.0 (18.0–24.0) | 20.0 (18.0–24.0) | 22.0 (19.0–27.0) | 0.001 |
GGT (U/L) | 20.0 (15.0–27.0) | 19.0 (15.0–25.0) | 25.0 (19.0–35.3) | < 0.001 |
CRP (mg/L) | 0.6 (0.3–1.2) | 0.5 (0.3–1.0) | 1.2 (0.7–2.2) | < 0.001 |
Osteocalcin (ng/mL) | 21.99 (17.84–26.55) | 22.31 (18.55–27.06) | 18.39 (16.03–23.64) | < 0.001 |
FLI | 12.86 (6.34–26.94) | 10.69 (5.42–19.49) | 40.32 (24.42–52.15) | < 0.001 |
Data are means±standard deviation or median (interquartile range).
Abbreviation: 2hPG, 2-h plasma glucose level; ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; CRP, C reactive protein; DBP, diastolic blood pressure; FINS, fasting insulin; FLI, fatty liver index; FPG, fasting plasma glucose; GGT, gamma-glutamyl transpeptidase; HbA1c, glycated hemoglobin; HDL-C, high-density lipoprotein cholesterol; HOMA-IR, homeostasis model assessment-insulin resistance; LDL-C, low-density lipoprotein cholesterol; SBP, systolic blood pressure; TC, total cholesterol; TG, triglyceride.
The subjects with NAFLD had significantly lower serum osteocalcin levels than the subjects without NAFLD (18.39 ng/mL [range, 16.03–23.64 ng/mL] vs 22.31 ng/mL [range, 18.55–27.06 ng/mL], P<0.001). Additionally, compared to the non-NAFLD subjects, the subjects with NAFLD had significantly higher values for BMI, waist circumference, systolic blood pressure (SBP), blood glucose (FPG, 2hPG, and HbA1c), FINS, HOMA-IR, blood lipids (TC, TG, and LDL-C), liver enzymes (ALT, AST, and GGT), CRP, and FLI, but they had lower HDL-C levels (all P-values<0.05).
Correlation between serum osteocalcin levels and FLI values
The FLI values were divided into four groups, according to the quartile values (Q1, FLI<6.34, n=183; Q2, 6.34≤FLI<12.86, n=183; Q3, 12.86≤FLI<26.94, n=184; Q4, FLI≥26.94, n=183). Our trend analysis revealed a decreasing trend in serum osteocalcin levels, which was accompanied by increases in the FLI quartile (Q1, 23.20 ng/mL [range, 18.84–27.38 ng/mL]; Q2, 23.01 ng/mL [range, 19.00–27.41 ng/mL]; Q3, 22.19 ng/mL [range, 18.24–26.06 ng/mL]; Q4, 19.26 ng/mL [range, 16.19–23.74 ng/mL]; P-value for the trend<0.01) (Figure 1).
We performed a linear regression analysis using FLI as the dependent variable to further examine the relationship between the FLI values and serum osteocalcin levels. When using only the serum osteocalcin level as the independent variable, our analysis identified a significant negative correlation between the serum osteocalcin levels and FLI values (β=−0.560, P<0.001). Furthermore, this negative correlation remained significant after adjusting for age, SBP, diastolic blood pressure (DBP), blood glucose (FPG, 2hPG, and HbA1c), HDL-C, LDL-C, HOMA-IR, and CRP levels (standardized β=−0.124; P<0.01) (Table 2).
Table 2. Independent factors related to FLI as determined by multiple stepwise regression analysis.
Independent variables | Standardized β | t | P |
---|---|---|---|
SBP | 0.106 | 3.750 | < 0.001 |
2hPG | 0.119 | 4.219 | < 0.001 |
HOMA-IR | 0.351 | 11.521 | < 0.001 |
HDL-C | −0.281 | −9.558 | < 0.001 |
LDL-C | 0.095 | 3.356 | 0.001 |
CRP | 0.181 | 6.304 | < 0.001 |
Osteocalcin | −0.124 | −4.395 | < 0.001 |
Independent variables: age, SBP, DBP, FPG, 2hPG, HbA1c, HLD-C, LDL-C, HOMA-IR, CRP, and osteocalcin.
Abbreviation: 2hPG: 2-h plasma glucose level; CRP: C reactive protein; DBP: diastolic blood pressure; FLI: fatty liver index; FPG: fasting plasma glucose; HbA1c: glycated hemoglobin; HDL-C: high-density lipoprotein cholesterol; HOMA-IR: homeostasis model assessment-insulin resistance; LDL-C: low-density lipoprotein cholesterol; SBP: systolic blood pressure.
Relationship between serum osteocalcin levels and NAFLD
Next, we performed a binary logistic regression analysis, in which the presence of NAFLD was designated as the dependent variable in four different models (unadjusted; adjusted for age, BMI, and waist circumference; adjusted for liver enzymes; and adjusted full variables) to examine the relationship between the serum osteocalcin levels and NAFLD. Using the full model, the independent variables included age, BMI, waist circumference, osteocalcin, FPG, 2hPG, HbA1c, SBP, DBP, TG, HDL-C, LDL-C, ALT, AST, GGT, HOMA-IR, and CRP. However, the results showed that regardless of which model was used, a subject's serum osteocalcin level remained the independent variable that was most highly correlated with the presence of NAFLD (Table 3).
Table 3. Binary logistic regression analysis of factors independently associated with NAFLD.
Models | Osteocalcin |
|||
---|---|---|---|---|
β | SEM | OR (95%CI) | P | |
Unadjusted | −0.091 | 0.018 | 0.913 (0.881–0.946) | < 0.001 |
Adjusted Age+BMI+waist circumference | −0.050 | 0.020 | 0.951 (0.915–0.989) | 0.012 |
Adjusted ALT+AST+GGT | −0.078 | 0.019 | 0.925 (0.891–0.960) | < 0.001 |
Full model | −0.051 | 0.022 | 0.951 (0.911–0.992) | 0.020 |
Independent variables of full model: age, BMI, waist circumference, osteocalcin, blood pressure (SBP, DBP), blood glucose (FPG, 2hPG, HbA1c), blood lipid (TG, HLD-C, LDL-C), liver enzymes (ALT, AST, GGT), HOMA-IR, CRP.
Abbreviation: 2hPG: 2-h plasma glucose level; ALT: alanine aminotransferase; AST: aspartate aminotransferase; BMI: body mass index; CRP: C reactive protein; DBP: diastolic blood pressure; FPG: fasting plasma glucose; GGT: gamma-glutamyl transpeptidase; HbA1c: glycated hemoglobin; HDL-C: high-density lipoprotein cholesterol; HOMA-IR: homeostasis model assessment-insulin resistance; LDL-C: low-density lipoprotein cholesterol; SBP: systolic blood pressure; TG: triglyceride.
Discussion
NAFLD is the most common chronic liver disorder worldwide, and its occurrence is associated with several metabolic risk factors, including diabetes mellitus, dyslipidemia, and hypertension. Therefore, NAFLD is associated with increased rates of mortality from both cardiovascular-related and liver-related causes14,15. Although proper and timely disease identification and intervention can inhibit or reverse the progression of NAFLD to hepatic sclerosis, the timely diagnosis of NAFLD remains hindered by its lack of specific clinical manifestations and the absence of reliable serum biomarkers. Although liver biopsy is the gold standard method used to determine the presence and status of NAFLD, the invasiveness of this method and the risk of complications limit its use in clinical practice. However, B-mode ultrasonography, a noninvasive method used for diagnosing fatty liver diseases, can be widely used in both clinical practice and large cohort surveys.
Osteocalcin is a protein that is secreted by osteoblasts, and it is a marker that reflects the status of bone metabolism. Moreover, osteocalcin has recently been shown to play important roles in glucose and fat metabolism. Because glycolipid metabolism disorders are closely associated with the presence of NAFLD, the relationship between osteocalcin and NAFLD has garnered worldwide attention16,17,18. Studies of animals fed high fat diets have suggested that the administration of exogenous osteocalcin may help to protect against the development of nonalcoholic steatohepatitis by inhibiting liver steatosis, ballooning degeneration, and fibrosis3. In human studies, subjects with NAFLD diagnosed through liver biopsy had lower serum osteocalcin concentrations compared to control subjects. Furthermore, serum osteocalcin levels were shown to be independently correlated with degrees of hepatocyte ballooning, which in turn were negatively associated with serum transaminase levels and degrees of insulin resistance4,19.
Because gender differences have been found in the serum concentrations of osteocalcin, the relationship between serum osteocalcin levels and NAFLD in men has been the focus of several investigations. A study of 1 683 Chinese men from Guangzhou revealed that low levels of serum osteocalcin were independently associated with the presence of NAFLD diagnosed through ultrasonography5. Some studies have shown a close relationship between osteocalcin levels and liver enzymes, and continuous unexplained increases in liver enzymes may be indicative of NAFLD. A cross-sectional study of Spanish men conducted by Fernández-Real et al showed that circulating levels of osteocalcin were negatively associated with ALT and AST levels; in subjects experiencing weight loss, changes in ALT levels were linearly associated with changes in osteocalcin levels (r =−0.55, P=0.003)20. Additionally, our own previous study of 1 558 men also revealed an independent association between serum osteocalcin and ALT levels21.
Currently, only one cohort study conducted with women from Korea has demonstrated an independent relationship between serum osteocalcin levels and the presence of NAFLD in either premenopausal or postmenopausal women7. However, in that study, several confounding factors, such as the presence of metabolic disorders and the use of relevant medications, were not taken into account. Thus, in the present study, we chose not to enroll subjects with hyperglycemia or those who were taking either lipid lowering or anti-hypertensive agents. It has been proven that post-menopausal women have a greater risk of developing cardiovascular disease than premenopausal women22; however, no previous studies have specifically investigated the relationship between serum osteocalcin levels and NAFLD in postmenopausal Chinese women. After adjusting for confounding factors, our study identified an independent association between serum osteocalcin levels and NAFLD, and this association existed both qualitatively and quantitatively. Based on our findings, we speculate that osteocalcin might be involved in regulating lipid metabolism and reducing fat deposition in the liver.
It has been shown that decreased estrogen levels in postmenopausal women lead to an array of metabolic diseases, such as NAFLD. Thus, estrogen may exert a protective effect against NAFLD in humans or animals23. In addition, serum osteocalcin levels can also be influenced by estrogen. A study of ovariectomized rats showed that estrogen replacement therapy triggered a dose-dependent decrease in serum osteocalcin compared to the serum levels of ovariectomized control rats24. The present study proved that serum osteocalcin levels were inversely correlated with the presence of NAFLD in postmenopausal women; thus, serum osteocalcin may exert a protective effect against metabolic disorders in postmenopausal women.
The protection provided by osteocalcin against the development of NAFLD might be associated with its ability to lower the degree of insulin resistance25. Several human studies have shown a negative correlation between serum osteocalcin levels and insulin resistance, as evaluated by HOMA-IR; however, these studies have also demonstrated a positive correlation between osteocalcin levels and β-cell function26,27,28. Additionally, a murine study has shown that daily injections of osteocalcin significantly improved glucose tolerance and insulin sensitivity in mice fed either a normal or high fat diet. Furthermore, hepatic steatosis induced by the high fat diet was completely reversed in mice receiving a daily injection of osteocalcin29. Finally, results from in vitro studies with cultured cells have indicated that osteocalcin can rescue impaired insulin sensitivity through the NF-κB signaling pathway30.
Our study has some limitations that should be mentioned. First, there are undercarboxylated and carboxylated forms of total serum osteocalcin. Initial animal studies have indicated that undercarboxylated osteocalcin is the biologically active isoform that mediates metabolic functions. However, several recent clinical studies have demonstrated that both undercarboxylated and total osteocalcin were associated with energy metabolism31,32. Because of the lack of an automated assay to examine the undercarboxylated form, we measured only total serum osteocalcin. Second, all NAFLD patients were diagnosed through ultrasonography, which has low sensitivity for detecting hepatic steatosis. Third, the bone metabolism status of a patient might be a factor influencing the level of serum osteocalcin. In addition, our study population was a subgroup of participants who were previously enrolled in the Shanghai Obesity Study. Our findings must be verified in other populations by studies that use a more accurate method of evaluating a subject's degree of NAFLD and that consider the bone metabolism status of each participant.
Conclusion
Serum osteocalcin levels were inversely correlated with the presence of NAFLD in postmenopausal Chinese women with normal blood glucose levels.
Author contribution
Yu-qian BAO and Wei-ping JIA conceived and designed the experiments. Yu-qi LUO, Xiao-jing MA, Ya-ping HAO, Qin XIONG, Yi-ting XU performed the experiments. Xiao-ping PAN provided technical support. Yu-qi LUO and Xiao-jing MA performed the statistical analysis and wrote the paper.
Acknowledgments
This work was funded by a project of the National Natural Science Foundation of China (No 81170788), 973 Program of China (No 2012CB524906), the National Key Technology R&D Program of China (No 2012BAI02B03), a grant from Shanghai Health and Family Planning Commission (No 2013ZYJB1001), and a Key Science and Technology of Shanghai Project (No 13XD1403000). We appreciate the efforts of all participants who contributed to the sample measurements and data collection.
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