Label free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis.
(2016) Proteomics — Vol. 16, n° 7, p. 1154-1165 (2016)
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- The aims of the study was to: (1) identify differentially regulated proteins in cerebrospinal fluid (CSF) between multiple sclerosis (MS) patients and non-MS controls; (2) examine the effect of matching the CSF samples on either total protein amount or volume, and compare four protein normalization strategies for CSF protein quantification. CSF from MS patients (n = 37) and controls (n = 64), consisting of other non-inflammatory neurological diseases (n = 50) and non- neurological spinal anesthetic subjects (n = 14), were analyzed using label free proteomics, quantifying almost 800 proteins. In total, 122 proteins were significantly regulated (p < 0.05), where 77 proteins had p-value < 0.01 or AUC value > 0.75. Hierarchical clustering indicated that there were two main groups of MS patients, those with increased levels of inflammatory response proteins and decreased levels of proteins involved in neuronal tissue development (n = 30), and those with normal protein levels for both of these protein groups (n = 7). The main subgroup of controls clustering with the MS patients showing increased inflammation and decreased neuronal tissue development were patients suffering from chronic fatigue. Our data indicate that the preferable way to quantify proteins in CSF is to first match the samples on total protein amount and then normalize the data based on the median intensities, preferably from the CNS-enriched proteins. This article is protected by copyright. All rights reserved.
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Opsahl, J. A., Vaudel, M., Guldbrandsen, A., Aasebø, E., Van Pesch, V., Franciotta, D., Myhr, K.-M., Barsnes, H., Berle, M., Torkildsen, Ø., Kroksveen, A. C., & Berven, F. S. (2016). Label free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis. Proteomics, 16(7), 1154-1165. https://doi.org/10.1002/pmic.201500284 (Original work published 2016)