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

Metabolic syndrome and its components with neuron-specific enolase: a cross-sectional study in large health check-up population in China.
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Wang SY, Zha XJ, Zhu XY, Li WB, Ma J, Wu ZW, Wu H, Jiang MF, Wen YF,


Wang SY, Zha XJ, Zhu XY, Li WB, Ma J, Wu ZW, Wu H, Jiang MF, Wen YF, (click to view)

Wang SY, Zha XJ, Zhu XY, Li WB, Ma J, Wu ZW, Wu H, Jiang MF, Wen YF,

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BMJ open 2018 04 108(4) e020899 doi 10.1136/bmjopen-2017-020899
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.

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