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糖尿病患者血清神经元特异性烯醇化酶水平与糖尿病神经病变的关联:一项横断面研究

Association Between Serum Neuron-specific Enolase Levels and Diabetic Neuropathy in Patients With Diabetes Mellitus: A Cross-sectional Study.

作者信息

Pusapati Lakshmi Chaitanya Varma, V Padma, V Sathyapriya S, Nallaperumal Sharath, Vannan Ishai

机构信息

Internal Medicine, Sree Balaji Medical College and Hospital, Chennai, IND.

出版信息

Cureus. 2025 Jul 3;17(7):e87214. doi: 10.7759/cureus.87214. eCollection 2025 Jul.

DOI:10.7759/cureus.87214
PMID:40755599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12318130/
Abstract

INTRODUCTION

Diabetic neuropathy is a common long-term complication among individuals with diabetes, affecting a significant portion of this population globally. Current diagnostic methods lack sensitivity for early detection and rely heavily on clinical examination, creating an urgent need for objective biomarkers. Neuron-specific enolase (NSE), a glycolytic enzyme specific to neurons, has emerged as a potential biomarker for neuronal damage across various neurological conditions.

METHODS

This cross-sectional, hospital-based observational study was conducted at Sree Balaji Medical College and Hospital, Chennai, Tamil Nadu, India, from May 2023 to October 2024. A total of 260 consecutive diabetic patients aged above 18 years were enrolled through systematic sampling from outpatient departments and inpatient wards. A comprehensive neurological assessment was performed using standardised Diabetic Neuropathy Symptom (DNS) and Diabetic Neuropathy Examination (DNE) scores by trained internal medicine physicians blinded to serum NSE levels. Each patient was independently assessed by two assessors, and inter-rater reliability was ensured through standardised training and assessed using Cohen's kappa and intraclass correlation coefficients. Serum NSE levels were measured using standardised immunoassay techniques. Statistical analysis was performed using the Chi-square test, independent samples t-test, correlation analysis, and ROC curve analysis with SPSS software, and a p-value of less than 0.05 was considered statistically significant.

RESULTS

Among the 260 patients studied, males accounted for 45.8% and females for 54.2%. The mean age was 54.2 ± 9.7 years, with Type 2 diabetes predominant in 75.8% of cases. Diabetic neuropathy was present in 134 patients (51.5%), with peripheral neuropathy in 79 patients (30.4%) and autonomic neuropathy in 72 patients (27.7%). Only 17 patients (6.5%) had both types of neuropathy. Patients with peripheral neuropathy demonstrated significantly higher serum NSE levels (9.18 ± 1.43 ng/mL) compared to those without peripheral neuropathy (6.83 ± 1.52 ng/mL, p<0.001). In contrast, no significant difference was observed for autonomic neuropathy (7.56 ± 1.86 vs 7.54 ± 1.84 ng/mL, p=0.941). NSE demonstrated excellent discriminatory power for peripheral neuropathy with an area under the curve (AUC) of 0.863 (95% CI: 0.815-0.910) but poor performance for autonomic neuropathy with an AUC of 0.503. The optimal cutoff of 8.45 ng/mL yielded 67.1% sensitivity and 83.4% specificity. Exceptional correlations were observed between NSE and clinical assessment scores, with DNE score showing rs=0.937 (p<0.001) and DNS score showing rs=0.514 (p<0.001). NSE levels showed strong correlations with diabetes duration (r=0.4900, p<0.001) and glycemic control parameters, including HbA1c (r=0.3182, p<0.001).

CONCLUSION

The present study demonstrated that serum NSE serves as a highly effective biomarker for diabetic peripheral neuropathy with excellent diagnostic performance that meets international clinical standards. The strong correlations with established clinical measures and metabolic parameters, combined with its specific association with peripheral rather than autonomic neuropathy, support its potential clinical utility for early detection, risk stratification, and monitoring of diabetic neuropathy.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/0f7085d14d89/cureus-0017-00000087214-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/2699f8d5b54b/cureus-0017-00000087214-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/8b14d100fc18/cureus-0017-00000087214-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/0f7085d14d89/cureus-0017-00000087214-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/2699f8d5b54b/cureus-0017-00000087214-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/8b14d100fc18/cureus-0017-00000087214-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14f5/12318130/0f7085d14d89/cureus-0017-00000087214-i03.jpg
摘要

引言

糖尿病神经病变是糖尿病患者常见的长期并发症,在全球该人群中影响很大一部分人。目前的诊断方法对早期检测缺乏敏感性,且严重依赖临床检查,因此迫切需要客观的生物标志物。神经元特异性烯醇化酶(NSE)是一种神经元特有的糖酵解酶,已成为各种神经系统疾病中神经元损伤的潜在生物标志物。

方法

本横断面、基于医院的观察性研究于2023年5月至2024年10月在印度泰米尔纳德邦金奈的斯里·巴拉吉医学院和医院进行。通过系统抽样从门诊和住院病房连续纳入了260名年龄在18岁以上的糖尿病患者。由对血清NSE水平不知情的训练有素的内科医生使用标准化的糖尿病神经病变症状(DNS)和糖尿病神经病变检查(DNE)评分进行全面的神经学评估。每位患者由两名评估者独立评估,并通过标准化培训确保评估者间的可靠性,使用科恩kappa系数和组内相关系数进行评估。使用标准化免疫测定技术测量血清NSE水平。使用SPSS软件进行卡方检验、独立样本t检验、相关性分析和ROC曲线分析,p值小于0.05被认为具有统计学意义。

结果

在研究的260名患者中,男性占45.8%,女性占54.2%。平均年龄为54.2±9.7岁,75.8%的病例以2型糖尿病为主。134名患者(51.5%)存在糖尿病神经病变,其中79名患者(30.4%)有周围神经病变,72名患者(27.7%)有自主神经病变。只有17名患者(6.5%)同时患有两种神经病变。与没有周围神经病变的患者相比,有周围神经病变的患者血清NSE水平显著更高(9.18±1.43 ng/mL vs 6.83±1.52 ng/mL,p<0.001)。相比之下,自主神经病变患者未观察到显著差异(7.56±1.86 vs 7.54±1.84 ng/mL,p=0.941)。NSE对周围神经病变具有出色的鉴别能力,曲线下面积(AUC)为0.863(95%CI:0.815 - 0.910),但对自主神经病变的表现较差,AUC为0.503。最佳截断值为8.45 ng/mL,敏感性为67.1%,特异性为83.4%。观察到NSE与临床评估评分之间存在显著相关性,DNE评分显示rs = 0.937(p<0.001),DNS评分显示rs = 0.514(p<0.001)。NSE水平与糖尿病病程(r = 0.4900,p<0.001)和血糖控制参数(包括糖化血红蛋白,r = 0.3182,p<0.001)密切相关。

结论

本研究表明,血清NSE是糖尿病周围神经病变一种高效的生物标志物,具有出色的诊断性能,符合国际临床标准。与既定临床指标和代谢参数的强相关性,以及其与周围神经病变而非自主神经病变的特定关联,支持其在糖尿病神经病变早期检测、风险分层和监测中的潜在临床应用价值。

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Epidemiology of Peripheral Neuropathy and Lower Extremity Disease in Diabetes.糖尿病周围神经病变和下肢疾病的流行病学。
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NSE, a potential biomarker, is closely connected to diabetic peripheral neuropathy.神经元特异性烯醇化酶(NSE)作为一种潜在的生物标志物,与糖尿病周围神经病变密切相关。
Diabetes Care. 2013 Nov;36(11):3405-10. doi: 10.2337/dc13-0590. Epub 2013 Jul 11.
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