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Published in: BMC Neurology 1/2016

Open Access 01-12-2016 | Research article

Assessment of a multiple biomarker panel for diagnosis of amyotrophic lateral sclerosis

Authors: Xueping Chen, Yongping Chen, Qianqian Wei, Ruwei Ou, Bei Cao, Bi Zhao, Hui-Fang Shang

Published in: BMC Neurology | Issue 1/2016

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Abstract

Background

The aim of the study was to assess a panel of promising biomarkers for their ability to improve diagnosis of sporadic amyotrophic lateral sclerosis (ALS).

Methods

Forty patients with sporadic ALS and 40 controls with other neurological diseases were evaluated. Levels of phosphorylated neurofilament heavy chain (pNfH), S100-β, cystatin C, and chitotriosidase (CHIT) in cerebrospinal fluid were assayed using two-site solid-phase sandwich ELISA.

Results

Patients with sporadic ALS showed higher levels of pNfH and CHIT than controls, but lower levels of cystatin C. Multivariate logistic regression that adjusted for patient age and sex identified significant associations between sporadic ALS and levels of pNfH, CHIT and cystatin C. Levels of pNfH correlated positively with rate of progression and decline based on the Amyotrophic Lateral Sclerosis Functional Rating Scale - Revised. Based on receiver operating curve analysis, a pNfH cut-off of 437 ng/L discriminated patients from controls with a sensitivity of 97.3 % and specificity of 83.8 %. A CHIT cut-off of 1593.779 ng/L discriminated patients from controls with a sensitivity of 83.8 % and specificity of 81.1 %. Combining the two biomarkers gave a sensitivity of 83.8 % and specificity of 91.9 %.

Conclusions

Levels of pNfH in cerebrospinal fluid may be a reliable biomarker for diagnosing ALS, and combining this biomarker with levels of CHIT may improve diagnostic accuracy.
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Metadata
Title
Assessment of a multiple biomarker panel for diagnosis of amyotrophic lateral sclerosis
Authors
Xueping Chen
Yongping Chen
Qianqian Wei
Ruwei Ou
Bei Cao
Bi Zhao
Hui-Fang Shang
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Neurology / Issue 1/2016
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-016-0689-x

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