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Blood Neurofilament Light Chain Measurement Toward Clinical Application . | OMICS International| Abstract

Journal of Clinical & Experimental Neuroimmunology
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  • Review   
  • J Clin Exp Neuroimmunol 2022 , Vol 7(1): 139
  • DOI: 10.4172/jceni.1000139

Blood Neurofilament Light Chain Measurement Toward Clinical Application .

Shoshin Akamine1,2* and Takashi Kudo1,2
1Department of Mental Health Promotion, Osaka University Graduate School of Medicine, Suita, Osaka, Japan
2Health and Counseling Center, Osaka University, Toyonaka, Osaka, Japan
*Corresponding Author : Shoshin Akamine, Department of Mental Health Promotion, Osaka University Graduate School of Medicine, Suita, Osaka, Japan, Email: kudo@psy.med.osaka-u.ac.jp

Received Date: Jan 03, 2022 / Published Date: Jan 31, 2022

Abstract

Biomarkers are necessary for the evaluation of disease activity and treatment effects in neurological diseases. However, current tests such as cerebrospinal fluid analysis or imaging cannot be used widely because of several limitations, such as high invasiveness, high costs, and a limited number of tests per day. The blood neurofilament light chain (NFL) assay is a promising test for neuronal injury with low invasiveness and high scalability and has attracted a great deal of attention. It became more precise and accurate because of the newly developed ultrasensitive immunoassay called the Simoa assay. Blood NFL assay could reportedly track disease activity, monitor treatment response, and predict clinical outcomes in various neurological diseases such as multiple sclerosis, amyotrophic lateral sclerosis, dementia, stroke, and traumatic brain injury. In this review, we describe the scope and limitations of blood NFL assay in neurological diseases and future research directions needed for clinical application.

Citation: Akamine S, Kudo T (2022) Title: Blood Neurofilament Light Chain Measurement toward Clinical Application: A Review. J Clin Exp Neuroimmunol, 7: 139. Doi: 10.4172/jceni.1000139

Copyright: © 2022 Akamine S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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