- Poster presentation
- Open Access
CXCL10 and neopterin in CSF are candidate prognostic biomarkers for HTLV-1-associated myelopathy/tropical spastic paraparesis
© Yamano et al; licensee BioMed Central Ltd. 2014
- Published: 7 January 2014
- Control Subject
- Receiver Operating Characteristic
- Cerebrospinal Fluid
- Virus Type
- Proviral Load
Human T-lymphotropic virus type 1 (HTLV-1) -associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a chronic neuroinflammatory disease. Since the disease course of HAM/TSP varies among patients, there is a dire need for biomarkers capable of predicting the rate of disease progression for earlier detection of high-risk patients. However, there have been no studies to date that have compared the prognostic values of multiple potential biomarkers for HAM/TSP. Peripheral blood and cerebrospinal fluid (CSF) samples from HAM/TSP patients and HTLV-1-infected control subjects were obtained and tested for several potential biomarkers, including chemokines and other cytokines, and 8 optimal candidates were selected based on receiver operating characteristic (ROC) analysis. Next, we evaluated the relationship between these candidates and the rate of disease progression in HAM/TSP patients, beginning with a Training Set of 30 patients and proceeding to a Test Set of 23 patients. We defined “deteriorating HAM/TSP” as distinctly worsening function (≥ 3 grades on Osame’s Motor Disability Score (OMDS)) over 4 y and “stable HAM/TSP” as unchanged or only slightly worsened function (1 grade on OMDS) over 4 y, and we compared the levels of the candidate biomarkers in patients divided into these 2 groups. The CSF levels of chemokine (C-X-C motif) ligand 10 (CXCL10), neopterin and the CSF cell count were well-correlated with disease progression, better even than HTLV-1 proviral load in PBMCs. Importantly, these results were cross-validated using the Test Set. Therefore, the CSF levels of CXCL10 and neopterin represent the most viable candidates for HAM/TSP prognostic biomarkers.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.