Label-Free LC–MS/MS Proteomic Analysis of Cerebrospinal Fluid Identifies Protein/Pathway Alterations and Candidate Biomarkers for Amyotrophic Lateral Sclerosis

Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sAL...

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Published inJournal of proteome research Vol. 14; no. 11; pp. 4486 - 4501
Main Authors Collins, Mahlon A, An, Jiyan, Hood, Brian L, Conrads, Thomas P, Bowser, Robert P
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 06.11.2015
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Abstract Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sALS), healthy control (HC), and other neurological disease (OND) subjects using label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS). A total of 1712 CSF proteins were detected and relatively quantified by spectral counting. Levels of several proteins with diverse biological functions were significantly altered in sALS samples. Enrichment analysis was used to link these alterations to biological pathways, which were predominantly related to inflammation, neuronal activity, and extracellular matrix regulation. We then used our CSF proteomic profiles to create a support vector machines classifier capable of discriminating training set ALS from non-ALS (HC and OND) samples. Four classifier proteins, WD repeat-containing protein 63, amyloid-like protein 1, SPARC-like protein 1, and cell adhesion molecule 3, were identified by feature selection and externally validated. The resultant classifier distinguished ALS from non-ALS samples with 83% sensitivity and 100% specificity in an independent test set. Collectively, our results illustrate the utility of CSF proteomic profiling for identifying ALS protein/pathway alterations and candidate disease biomarkers.
AbstractList Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sALS), healthy control (HC), and other neurological disease (OND) subjects using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of 1712 CSF proteins were detected and relatively quantified by spectral counting. Levels of several proteins with diverse biological functions were significantly altered in sALS samples. Enrichment analysis was used to link these alterations to biological pathways, which were predominantly related to inflammation, neuronal activity, and extracellular matrix regulation. We then used our CSF proteomic profiles to create a support vector machines classifier capable of discriminating training set ALS from non-ALS (HC and OND) samples. Four classifier proteins, WD repeat-containing protein 63, amyloid-like protein 1, SPARC-like protein 1, and cell adhesion molecule 3, were identified by feature selection and externally validated. The resultant classifier distinguished ALS from non-ALS samples with 83% sensitivity and 100% specificity in an independent test set. Collectively, our results illustrate the utility of CSF proteomic profiling for identifying ALS protein/pathway alterations and candidate disease biomarkers.Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sALS), healthy control (HC), and other neurological disease (OND) subjects using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of 1712 CSF proteins were detected and relatively quantified by spectral counting. Levels of several proteins with diverse biological functions were significantly altered in sALS samples. Enrichment analysis was used to link these alterations to biological pathways, which were predominantly related to inflammation, neuronal activity, and extracellular matrix regulation. We then used our CSF proteomic profiles to create a support vector machines classifier capable of discriminating training set ALS from non-ALS (HC and OND) samples. Four classifier proteins, WD repeat-containing protein 63, amyloid-like protein 1, SPARC-like protein 1, and cell adhesion molecule 3, were identified by feature selection and externally validated. The resultant classifier distinguished ALS from non-ALS samples with 83% sensitivity and 100% specificity in an independent test set. Collectively, our results illustrate the utility of CSF proteomic profiling for identifying ALS protein/pathway alterations and candidate disease biomarkers.
Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sALS), healthy control (HC), and other neurological disease (OND) subjects using label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of 1,712 CSF proteins were detected and relatively quantified by spectral counting. Levels of several proteins with diverse biological functions were significantly altered in sALS samples. Enrichment analysis was used to link these alterations to biological pathways, which were predominantly related to inflammation, neuronal activity, and extracellular matrix regulation. We then used our CSF proteomic profiles to create a support vector machines classifier capable of discriminating training set ALS from non-ALS (HC and OND) samples. Four classifier proteins, WD repeat-containing protein 63, amyloid-like protein 1, SPARC-like protein 1, and cell adhesion molecule 3 were identified by feature selection and externally validated. The resultant classifier distinguished ALS from non-ALS samples with 83% sensitivity and 100% specificity in an independent test set. Collectively, our results illustrate the utility of CSF proteomic profiling for identifying ALS protein/pathway alterations and candidate disease biomarkers.
Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis (ALS), we performed comparative proteomic profiling of CSF from sporadic ALS (sALS), healthy control (HC), and other neurological disease (OND) subjects using label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS). A total of 1712 CSF proteins were detected and relatively quantified by spectral counting. Levels of several proteins with diverse biological functions were significantly altered in sALS samples. Enrichment analysis was used to link these alterations to biological pathways, which were predominantly related to inflammation, neuronal activity, and extracellular matrix regulation. We then used our CSF proteomic profiles to create a support vector machines classifier capable of discriminating training set ALS from non-ALS (HC and OND) samples. Four classifier proteins, WD repeat-containing protein 63, amyloid-like protein 1, SPARC-like protein 1, and cell adhesion molecule 3, were identified by feature selection and externally validated. The resultant classifier distinguished ALS from non-ALS samples with 83% sensitivity and 100% specificity in an independent test set. Collectively, our results illustrate the utility of CSF proteomic profiling for identifying ALS protein/pathway alterations and candidate disease biomarkers.
Author Collins, Mahlon A
An, Jiyan
Conrads, Thomas P
Bowser, Robert P
Hood, Brian L
AuthorAffiliation Barrow Neurological Institute
University of Pittsburgh
Departments of Neurology and Neurobiology
Women’s Health Integrated Research Center
Department of Neurobiology
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– name: Women’s Health Integrated Research Center, 3289 Woodburn Road, Annandale, VA, USA 22003
– name: Department of Neurobiology, University of Pittsburgh, E1448 Biomedical Science Tower, 200 Lothrop Street, Pittsburgh, PA, USA 15261
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Keywords proteomics
cerebrospinal fluid
liquid chromatography-tandem mass spectrometry
mass spectrometry
biomarker
amyotrophic lateral sclerosis
extracellular matrix
LC−MS/MS
Language English
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Snippet Analysis of the cerebrospinal fluid (CSF) proteome has proven valuable to the study of neurodegenerative disorders. To identify new protein/pathway alterations...
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SubjectTerms Adaptor Proteins, Signal Transducing - cerebrospinal fluid
Adaptor Proteins, Signal Transducing - genetics
Adaptor Proteins, Signal Transducing - isolation & purification
Adult
Alzheimer Disease - cerebrospinal fluid
Alzheimer Disease - diagnosis
Alzheimer Disease - genetics
Alzheimer Disease - pathology
Amyloid beta-Protein Precursor - cerebrospinal fluid
Amyloid beta-Protein Precursor - genetics
Amyloid beta-Protein Precursor - isolation & purification
amyotrophic lateral sclerosis
Amyotrophic Lateral Sclerosis - cerebrospinal fluid
Amyotrophic Lateral Sclerosis - diagnosis
Amyotrophic Lateral Sclerosis - genetics
Amyotrophic Lateral Sclerosis - pathology
biomarkers
Biomarkers - cerebrospinal fluid
Calcium-Binding Proteins - cerebrospinal fluid
Calcium-Binding Proteins - genetics
Calcium-Binding Proteins - isolation & purification
Case-Control Studies
cell adhesion molecules
Cell Adhesion Molecules - cerebrospinal fluid
Cell Adhesion Molecules - genetics
Cell Adhesion Molecules - isolation & purification
cerebrospinal fluid
Cerebrospinal Fluid Proteins - cerebrospinal fluid
Cerebrospinal Fluid Proteins - genetics
Cerebrospinal Fluid Proteins - isolation & purification
Chromatography, Liquid - methods
Diagnosis, Differential
extracellular matrix
Extracellular Matrix - chemistry
Extracellular Matrix Proteins - cerebrospinal fluid
Extracellular Matrix Proteins - genetics
Extracellular Matrix Proteins - isolation & purification
Humans
Immunoglobulins - cerebrospinal fluid
Immunoglobulins - genetics
Immunoglobulins - isolation & purification
Inflammation
liquid chromatography
Middle Aged
Motor Neuron Disease - cerebrospinal fluid
Motor Neuron Disease - diagnosis
Motor Neuron Disease - genetics
Motor Neuron Disease - pathology
neurons
proteome
Proteome - genetics
Proteome - isolation & purification
Proteome - metabolism
proteomics
Proteomics - methods
Sensitivity and Specificity
Support Vector Machine
support vector machines
Synapses - genetics
Synapses - metabolism
Synaptic Transmission
tandem mass spectrometry
Tandem Mass Spectrometry - methods
Title Label-Free LC–MS/MS Proteomic Analysis of Cerebrospinal Fluid Identifies Protein/Pathway Alterations and Candidate Biomarkers for Amyotrophic Lateral Sclerosis
URI http://dx.doi.org/10.1021/acs.jproteome.5b00804
https://www.ncbi.nlm.nih.gov/pubmed/26401960
https://www.proquest.com/docview/1731783510
https://www.proquest.com/docview/2053889278
https://pubmed.ncbi.nlm.nih.gov/PMC5592736
Volume 14
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