%0 Journal Article %1 vonNeuhoff2012 %A von Neuhoff, Nils %A Oumeraci, Tonio %A Wolf, Thomas %A Kollewe, Katja %A Bewerunge, Peter %A Neumann, Boris %A Brors, Benedikt %A Bufler, Johannes %A Wurster, Ulrich %A Schlegelberger, Brigitte %A Dengler, Reinhard %A Zapatka, Marc %A Petri, Susanne %D 2012 %J PLoS One %K Amyotrophic Biological Cerebrospinal Desorption-Ionization Fluid Humans; Laser Lateral Markers, Mass, Matrix-Assisted Proteins, Proteome; Sclerosis, Spectrometry, analysis; cerebrospinal fluid; %N 9 %P e44401 %R 10.1371/journal.pone.0044401 %T Monitoring CSF proteome alterations in amyotrophic lateral sclerosis: obstacles and perspectives in translating a novel marker panel to the clinic. %U http://dx.doi.org/10.1371/journal.pone.0044401 %V 7 %X Amyotrophic lateral sclerosis (ALS) is a fatal disorder of the motor neuron system with poor prognosis and marginal therapeutic options. Current clinical diagnostic criteria are based on electrophysiological examination and exclusion of other ALS-mimicking conditions. Neuroprotective treatments are, however, most promising in early disease stages. Identification of disease-specific CSF biomarkers and associated biochemical pathways is therefore most relevant to monitor disease progression, response to neuroprotective agents and to enable early inclusion of patients into clinical trials.CSF from 35 patients with ALS diagnosed according to the revised El Escorial criteria and 23 age-matched controls was processed using paramagnetic bead chromatography for protein isolation and subsequently analyzed by MALDI-TOF mass spectrometry. CSF protein profiles were integrated into a Random Forest model constructed from 153 mass peaks. After reducing this peak set to the top 25\%, a classifier was built which enabled prediction of ALS with high accuracy, sensitivity and specificity. Further analysis of the identified peptides resulted in a panel of five highly sensitive ALS biomarkers. Upregulation of secreted phosphoprotein 1 in ALS-CSF samples was confirmed by univariate analysis of ELISA and mass spectrometry data. Further quantitative validation of the five biomarkers was achieved in an 80-plex Multiple Reaction Monitoring mass spectrometry assay.ALS classification based on the CSF biomarker panel proposed in this study could become a valuable predictive tool for early clinical risk stratification. Of the numerous CSF proteins identified, many have putative roles in ALS-related metabolic processes, particularly in chromogranin-mediated secretion signaling pathways. While a stand-alone clinical application of this classifier will only be possible after further validation and a multicenter trial, it could be readily used to complement current ALS diagnostics and might also provide new insights into the pathomechanisms of this disease in the future.

@article{vonNeuhoff2012, __markedentry = {[bbrors:6]}, abstract = {Amyotrophic lateral sclerosis (ALS) is a fatal disorder of the motor neuron system with poor prognosis and marginal therapeutic options. Current clinical diagnostic criteria are based on electrophysiological examination and exclusion of other ALS-mimicking conditions. Neuroprotective treatments are, however, most promising in early disease stages. Identification of disease-specific CSF biomarkers and associated biochemical pathways is therefore most relevant to monitor disease progression, response to neuroprotective agents and to enable early inclusion of patients into clinical trials.CSF from 35 patients with ALS diagnosed according to the revised El Escorial criteria and 23 age-matched controls was processed using paramagnetic bead chromatography for protein isolation and subsequently analyzed by MALDI-TOF mass spectrometry. CSF protein profiles were integrated into a Random Forest model constructed from 153 mass peaks. After reducing this peak set to the top 25\%, a classifier was built which enabled prediction of ALS with high accuracy, sensitivity and specificity. Further analysis of the identified peptides resulted in a panel of five highly sensitive ALS biomarkers. Upregulation of secreted phosphoprotein 1 in ALS-CSF samples was confirmed by univariate analysis of ELISA and mass spectrometry data. Further quantitative validation of the five biomarkers was achieved in an 80-plex Multiple Reaction Monitoring mass spectrometry assay.ALS classification based on the CSF biomarker panel proposed in this study could become a valuable predictive tool for early clinical risk stratification. Of the numerous CSF proteins identified, many have putative roles in ALS-related metabolic processes, particularly in chromogranin-mediated secretion signaling pathways. While a stand-alone clinical application of this classifier will only be possible after further validation and a multicenter trial, it could be readily used to complement current ALS diagnostics and might also provide new insights into the pathomechanisms of this disease in the future.}, added-at = {2015-04-09T12:36:21.000+0200}, author = {{von Neuhoff}, Nils and Oumeraci, Tonio and Wolf, Thomas and Kollewe, Katja and Bewerunge, Peter and Neumann, Boris and Brors, Benedikt and Bufler, Johannes and Wurster, Ulrich and Schlegelberger, Brigitte and Dengler, Reinhard and Zapatka, Marc and Petri, Susanne}, biburl = {https://www.bibsonomy.org/bibtex/23ccfb70359900dbb6d6f34e57fc6e984/bbrors}, doi = {10.1371/journal.pone.0044401}, institution = {Institute of Cell and Molecular Pathology, Hannover Medical School, Hannover, Germany. neuhoff.nils.von@mh-hannover.de}, interhash = {61ad7a699d141c802de286af036b4dc5}, intrahash = {3ccfb70359900dbb6d6f34e57fc6e984}, journal = {PLoS One}, keywords = {Amyotrophic Biological Cerebrospinal Desorption-Ionization Fluid Humans; Laser Lateral Markers, Mass, Matrix-Assisted Proteins, Proteome; Sclerosis, Spectrometry, analysis; cerebrospinal fluid;}, language = {eng}, medline-pst = {ppublish}, number = 9, owner = {bbrors}, pages = {e44401}, pii = {PONE-D-12-07757}, pmid = {22970211}, timestamp = {2015-04-09T12:36:21.000+0200}, title = {Monitoring CSF proteome alterations in amyotrophic lateral sclerosis: obstacles and perspectives in translating a novel marker panel to the clinic.}, url = {http://dx.doi.org/10.1371/journal.pone.0044401}, volume = 7, year = 2012 }