血浆神经丝蛋白轻链作为多发性硬化症神经元损伤的生物标记物

Anibal Arteaga-Noriega , John Fredy Castro-Álvarez , José Zapata-Berruecos , Norma Liliana Muñoz Osorio , Johanna Gutiérrez-Vargas
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摘要

在治疗多发性硬化症(MS)的方法中,疾病进展的生物标志物的识别仍然是必要的,多发性硬化症(MS)是一种致残性神经系统疾病,更常见于年轻人,它可以具有不同的表型,其中包括复发缓解型(RRMS),原发性进行性(PPMS)和继发性进行性(SPMS)。在生物标志物中,脑脊液(CSF)和血清中神经丝轻链(NfL)水平的测定已被证明可预测多发性硬化症的严重程度,因此,本研究的目的是评估多发性硬化症不同阶段患者的NfL水平。采用吸附酶免疫测定试剂盒分析血浆NfL水平,并将MS患者与对照组进行比较。结果MS患者中女性占87.14%,服用抗抑郁药物者占21.43%,有视力并发症者占48.57%。80%的人有脊髓损伤。结果发现,RRMS表型和男性患者的NfL水平较高。结论研究结果显示,在RRMS患者和男性患者中,NfL增加,提示男性可能存在更大的神经轴突退化,并且具有这种疾病的表型。然而,未来的研究旨在优化、标准化和实施新技术,以解决这些有助于疾病管理的生物标志物的预测价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasma neurofilament light chain as a biomarker of neuronal damage in multiple sclerosis

Introduction

The identification of biomarkers of disease progression continues to be a necessity in the approach to multiple sclerosis (MS), a disabling neurological disease more common in young adults, which can have different phenotypes, among which relapsing-remitting (RRMS), primary progressive (PPMS) and secondary progressive (SPMS). Among biomarkers, the determination of neurofilament light chain (NfL) levels in both cerebrospinal fluid (CSF) and serum have been shown to predict the severity of MS. Therefore, the objective of the present work was to evaluate the levels of NfL in patients in different stages of MS.

Methodology

A descriptive study was carried out, which included 70 patients diagnosed with MS; plasma NfL levels were analyzed using the adsorption enzyme immunoassay kit and the levels of the MS patients were compared with the levels of control patients.

Results

In patients with MS, 87,14% were women, 21,43% were taking antidepressant drugs, 48,57% had vision complications.and 80% had spinal injuries. It was found that patients with RRMS phenotype and of male sex have higher levels of NfL.

Conclusions

The results show an increase in NfL in RRMS and in male patients, which suggests that there may be greater neuroaxonal deterioration in men and that they have this disease phenotype. However, future studies aimed at optimizing, standardizing, and implementing new technologies are necessary to address the predictive value of these biomarkers that can contribute to the management of the disease.
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