Dataset Information

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

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.

SUBMITTER: Wang SY

PROVIDER: S-EPMC5898352 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Wang Shu-Yi SY Zha Xiao-Juan XJ Zhu Xin-Ying XY Li Wen-Bo WB Ma Jun J Wu Ze-Wei ZW Wu Huan H Jiang Ming-Fei MF Wen Yu-Feng YF

BMJ open 20180410 4

<h4>Objective</h4>This study was aimed at investigating the relationship between neuron-specific enolase (NSE) and components of metabolic syndrome (MS).<h4>Design</h4>Cross-sectional study.<h4>Setting</h4>Chinese health check-up population.<h4>Participants</h4>40 684 health check-up people were enrolled in this study from year 2014 to 2016.<h4>Main outcome measures</h4>OR and coefficient for MS.<h4>Results</h4>The percentage of abnormal NSE and MS was 26.85% and 8.85%, respectively. There were ...[more]

PMID: 29643166

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Project description:AimThis study examined the association between the metabolic score for insulin resistance (METS-IR), a novel surrogate indicator of insulin resistance, and brachial-ankle pulse wave velocity (baPWV) in Japanese health check participants.MethodsA cross-sectional research was conducted involving individuals in a program of medical health screening at the Medical Health Check-up Center in Japan. The study assessed the connection between METS-IR and baPWV in 912 participants who joined the program between 3/1/2004 and 12/31/2012. Serum laboratory tests and lifestyle surveys were the covariates. Multivariate linear regression analysis and subgroup analyses were performed.Results912 participants were involved in this cross-sectional study. Adjusted for age, sex, BMI, AST, UA, HDL, eGFR, ankle-brachial index (ABI), alcohol consumption, and smoking status, multivariate linear regression analysis showed that METS-IR and baPWV showed a significant positive association (adjusted β=15.3, 95% confidence interval (CI): 6.61~23.98) with METS-IR as a continuous variable. When converting METS-IR to quartile categorical variables, higher quartile METS-IR indices had longer baPWV (Q3 vs Q1, β=86.14, 95% CI: 23.45~148.83; Q4 vs Q1, β=125.41, 95% CI: 39.99~210.84). In subgroup analysis, METS-IR was associated with baPWV in people with eGFR > 60 ml/min (adjusted β= 14.44, 95% CI: 5.61~23.26, P=0.001), none or light alcohol consumption (adjusted β=16.92, 95% CI: 6.85~27, P=0.001), non-smokers (adjusted β=15.48, 95% CI: 5.86~25.1, P=0.002), non-regular exercisers(adjusted β=17.34, 95% CI: 8.03~26.65, P<0.001), non-fatty liver (adjusted β=17.65, 95% CI: 5.92~29.39, P=0.003), and non-hypertensive (adjusted β=16.13, 95% CI:8.45~23.8, P<0.001).ConclusionMETS-IR are remarkably associated with baPWV among health check-up participants in Gifu, Japan. As a simple, easily calculated predictor of arterial stiffness, METS-IR could be considered for primary care as a monitoring tool to identify people with high risk of cardiovascular disease in order to intervene early on risk factors. Future prospective, large-sample researches are still needed to confirm this.

Dataset Information

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

Objective

Design

Setting

Participants

Main outcome measures

Results

Conclusion

Publications

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

Similar Datasets

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