Suppr超能文献

[神经丝轻链:对多发性硬化症的诊断潜力]

[Neurofilament light chain: a diagnostic potential for multiple sclerosis].

作者信息

Spirin N N, Kiseleva E V, Spirina N N

机构信息

Yaroslavl State Medical University, Yaroslavl, Russia.

出版信息

Zh Nevrol Psikhiatr Im S S Korsakova. 2024;124(6):115-119. doi: 10.17116/jnevro2024124061115.

Abstract

OBJECTIVE

To evaluate the influence of disease activity, the degree of patient disability and pathogenetic therapy on the concentration of neurofilament light chain (NFL) in the blood serum of patients with multiple sclerosis (MS).

MATERIAL AND METHODS

One hundred and fourteen patients (84 women and 30 men) with definite MS were examined. The concentration of NFL in the blood serum of patients with MS was determined by enzyme immunoassay. The level of NFL was analyzed depending on the characteristics of the course and activity of the demyelinating process, the severity of neurological disorders as well as disease modifying drugs (DMDs).

RESULTS

An NFL level equal to or greater than 4201 pg/ml was found to be associated with a higher risk of developing a clinical exacerbation in the next 4 months. In patients with progression of disability over the next 2 years, the initial concentration of NFL was significantly higher than in the group with a stable EDSS score. The NFL level (4943 pg/ml and higher), which may be a predictor of increased disability in the next two years, was established.

CONCLUSION

The study demonstrates the possibility of using serum NFL levels as a diagnostic marker of possible exacerbation, as well as predicting disability in patients with MS.

摘要

目的

评估疾病活动度、患者残疾程度和病因治疗对多发性硬化症(MS)患者血清中神经丝轻链(NFL)浓度的影响。

材料与方法

对114例确诊为MS的患者(84例女性和30例男性)进行检查。采用酶免疫测定法测定MS患者血清中NFL的浓度。根据脱髓鞘过程的病程和活动度特征、神经功能障碍的严重程度以及疾病修饰药物(DMDs)分析NFL水平。

结果

发现NFL水平等于或高于4201 pg/ml与未来4个月发生临床病情加重的较高风险相关。在未来2年残疾程度进展的患者中,NFL的初始浓度显著高于扩展残疾状态量表(EDSS)评分稳定的组。确定了NFL水平(4943 pg/ml及更高),其可能是未来两年残疾增加的预测指标。

结论

该研究表明,血清NFL水平有可能作为MS患者可能病情加重的诊断标志物以及预测残疾情况。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验