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. 2018 Apr 10;8(4):e020899.
doi: 10.1136/bmjopen-2017-020899.

Metabolic syndrome and its components with neuron-specific enolase: a cross-sectional study in large health check-up population in China

Shu-Yi Wang  1 , Xiao-Juan Zha  2 , Xin-Ying Zhu  1 , Wen-Bo Li  3 , Jun Ma  1 , Ze-Wei Wu  1 , Huan Wu  1 , Ming-Fei Jiang  1 , Yu-Feng Wen  1
Affiliations

Metabolic syndrome and its components with neuron-specific enolase: a cross-sectional study in large health check-up population in China

Shu-Yi Wang et al. BMJ Open. .

Abstract

Objective: This study was aimed at investigating the relationship between neuron-specific enolase (NSE) and components of metabolic syndrome (MS).

Design: Cross-sectional study.

Setting: Chinese health check-up population.

Participants: 40 684 health check-up people were enrolled in this study from year 2014 to 2016.

Main outcome measures: OR and coefficient for MS.

Results: The percentage of abnormal NSE and MS was 26.85% and 8.85%, respectively. There were significant differences in sex, body mass index, drinking habit, triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), blood pressure and MS between low-NSE and high-NSE groups. In logistic regression analysis, elevated NSE was present in MS, higher body mass index, hypertriglyceridaemia, hypertension and low-HDL groups. Stepwise linear analysis showed a negative correlation between NSE and fasting blood glucose (FBG) (<6.0 mmol/L), and a positive correlation between NSE and TGs (<20 mmol/L), systolic blood pressure (75-200 mm Hg), HDL-C (0.75-2.50 mmol/L), diastolic blood pressure (<70 mm Hg) and FBG (6.00-20.00 mmol/L). Furthermore, MS was positively correlated with NSE within the range of 2.00-7.50 ng/mL, but had a negative correlation with NSE within the range of 7.50-23.00 ng/mL.

Conclusion: There are associations between NSE with MS and its components. The result suggests that NSE may be a potential predictor of MS. Further research could be conducted in discussing the potential mechanism involved.

Keywords: cross-sectional study; metabolic syndrome; neuron specific enolase.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Multiple logistic regression analysis of the factors that influence neuron-specific enolase (NSE). Adjusted for sex, age, drink and blood urea nitrogen (BUN), the dependent variable was NSE, while the independent variable was metabolic syndrome (MS). The longitudinal coordinate represents potential factors that influence NSE, while the horizontal coordinate are ORs of NSE.
Figure 2
Figure 2
Stepwise correlation analysis of neuron-specific enolase (NSE) and metabolic syndrome (MS) components. The horizontal coordinate represents different components of MS; the longitudinal coordinate shows residual of NSE. Solid line: without adjustment; dotted line: adjustment for sex, age, drink and blood urea nitrogen. (A) Correlation of body mass index (BMI) with NSE. (B) Correlation of triglyceride (TG) with NSE. (C) Correlation of systolic blood pressure (SBP) with NSE. (D) Correlation of diastolic blood pressure (DBP) with NSE. (E) Correlation of high-density lipoprotein cholesterol (HDL-C) with NSE. (F) Correlation of fasting blood glucose (FBG) with NSE.
Figure 3
Figure 3
Stepwise logistic regression analysis between neuron-specific enolase (NSE) and metabolic syndrome (MS). Adjusted for sex, age and smoke. The longitudinal coordinate represents quartile segments of NSE; the horizontal coordinate is OR of MS.
Figure 4
Figure 4
Relationship between neuron-specific enolase (NSE) and metabolic syndrome (MS) and their 95% CIs (shade scope). The horizontal coordinate represents NSE; the longitudinal coordinate is lnOR. Solid line: without adjustment; dotted line: adjustment for sex, age, drink and blood urea nitrogen.
See this image and copyright information in PMC

References

    1. Karcher HS, Holzwarth R, Mueller HP, et al. . Body fat distribution as a risk factor for cerebrovascular disease: an MRI-based body fat quantification study. Cerebrovasc Dis 2013;35:341–8. 10.1159/000348703 - DOI - PubMed
    1. Ridker PM. Fasting versus nonfasting triglycerides and the prediction of cardiovascular risk: do we need to revisit the oral triglyceride tolerance test? Clin Chem 2008;54:11–13. 10.1373/clinchem.2007.097907 - DOI - PubMed
    1. Boden WE. High-density lipoprotein cholesterol as an independent risk factor in cardiovascular disease: assessing the data from Framingham to the Veterans Affairs High-Density Lipoprotein Intervention Trial. Am J Cardiol 2000;86 19–22. 10.1016/S0002-9149(00)01464-8 - DOI - PubMed
    1. Long AN, Dagogo-Jack S. Comorbidities of diabetes and hypertension: mechanisms and approach to target organ protection. J Clin Hypertens 2011;13:244–51. 10.1111/j.1751-7176.2011.00434.x - DOI - PMC - PubMed
    1. Forouzanfar MH, Alexander L, Anderson HR, et al. . Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;386:2287–323. 10.1016/S0140-6736(15)00128-2 - DOI - PMC - PubMed