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 in | Journal of proteome research Vol. 14; no. 11; pp. 4486 - 4501 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
AuthorAffiliation_xml | – name: Barrow Neurological Institute – name: Departments of Neurology and Neurobiology – name: Women’s Health Integrated Research Center – name: Department of Neurobiology – name: University of Pittsburgh – name: Departments of Neurology and Neurobiology, Barrow Neurological Institute, NRC427, 350 West Thomas Road, Phoenix, AZ, USA 85013 – 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 |
Author_xml | – sequence: 1 givenname: Mahlon A surname: Collins fullname: Collins, Mahlon A – sequence: 2 givenname: Jiyan surname: An fullname: An, Jiyan – sequence: 3 givenname: Brian L surname: Hood fullname: Hood, Brian L – sequence: 4 givenname: Thomas P surname: Conrads fullname: Conrads, Thomas P – sequence: 5 givenname: Robert P surname: Bowser fullname: Bowser, Robert P email: Robert.Bowser@dignityhealth.org |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26401960$$D View this record in MEDLINE/PubMed |
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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 |
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