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Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis
INTRODUCTION: Biomarkers to identify osteoarthritis (OA) patients at risk for disease progression are needed. As part of a proteomic analysis of knee synovial fluid from normal and OA patients, differentially expressed proteins were identified that could represent potential biomarkers for OA. This s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4207325/ https://www.ncbi.nlm.nih.gov/pubmed/25287745 http://dx.doi.org/10.1186/s13075-014-0456-6 |
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author | Ritter, Susan Y Collins, Jamie Krastins, Bryan Sarracino, David Lopez, Mary Losina, Elena Aliprantis, Antonios O |
author_facet | Ritter, Susan Y Collins, Jamie Krastins, Bryan Sarracino, David Lopez, Mary Losina, Elena Aliprantis, Antonios O |
author_sort | Ritter, Susan Y |
collection | PubMed |
description | INTRODUCTION: Biomarkers to identify osteoarthritis (OA) patients at risk for disease progression are needed. As part of a proteomic analysis of knee synovial fluid from normal and OA patients, differentially expressed proteins were identified that could represent potential biomarkers for OA. This study aimed to use mass spectrometry assays to identify representative peptides from several proteins in synovial fluid and peripheral blood, and assess their levels as biomarkers of OA progression. METHODS: Multiplexed high throughput selected reaction monitoring (SRM) assays were developed to measure tryptic peptides representative of 23 proteins in matched serum and synovial fluid samples from late OA subjects at the time of joint replacement. Subsequently plasma samples from the baseline visit of 173 subjects in an observational OA cohort were tested by SRM for peptides from nine of these proteins: afamin, clusterin, cartilage oligomeric matrix protein, hepatocyte growth factor, kallistatin, insulin-like growth factor binding protein, acid labile subunit, lubricin, lumican, and pigment epithelium-derived factor. Linear regression was used to determine the association between the peptide biomarker level at baseline and change in joint space width (ΔJSW) from baseline to 30 months, adjusting for age and sex. RESULTS: In the matched cohort, 17 proteins could be identified in synovial fluid and 16 proteins were detected in serum. For the progression cohort, the average age was 62 and average ΔJSW over 30 months was 0.68 mm. A high correlation between different peptides from individual proteins was observed, indicating our assays correctly measured their target proteins. Peptides representative of clusterin, lumican and lubricin showed statistically significant associations with joint space narrowing after adjustment for age and sex. Partial R(2) values showed clusterin FMETVAEK and lubricin LVEVNPK peptide biomarkers explains about 2 to 3% of the variability of ΔJSW, similar to that explained by age. A biomarker score combining normalized data for both lubricin and clusterin peptides increased the model R(2) to 0.079. CONCLUSIONS: Our results suggest that when combined, levels of peptides representative of clusterin and lubricin in plasma are as predictive of OA progression as age. Replication of these findings in other prospective OA cohorts is planned. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-014-0456-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4207325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42073252014-10-28 Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis Ritter, Susan Y Collins, Jamie Krastins, Bryan Sarracino, David Lopez, Mary Losina, Elena Aliprantis, Antonios O Arthritis Res Ther Research Article INTRODUCTION: Biomarkers to identify osteoarthritis (OA) patients at risk for disease progression are needed. As part of a proteomic analysis of knee synovial fluid from normal and OA patients, differentially expressed proteins were identified that could represent potential biomarkers for OA. This study aimed to use mass spectrometry assays to identify representative peptides from several proteins in synovial fluid and peripheral blood, and assess their levels as biomarkers of OA progression. METHODS: Multiplexed high throughput selected reaction monitoring (SRM) assays were developed to measure tryptic peptides representative of 23 proteins in matched serum and synovial fluid samples from late OA subjects at the time of joint replacement. Subsequently plasma samples from the baseline visit of 173 subjects in an observational OA cohort were tested by SRM for peptides from nine of these proteins: afamin, clusterin, cartilage oligomeric matrix protein, hepatocyte growth factor, kallistatin, insulin-like growth factor binding protein, acid labile subunit, lubricin, lumican, and pigment epithelium-derived factor. Linear regression was used to determine the association between the peptide biomarker level at baseline and change in joint space width (ΔJSW) from baseline to 30 months, adjusting for age and sex. RESULTS: In the matched cohort, 17 proteins could be identified in synovial fluid and 16 proteins were detected in serum. For the progression cohort, the average age was 62 and average ΔJSW over 30 months was 0.68 mm. A high correlation between different peptides from individual proteins was observed, indicating our assays correctly measured their target proteins. Peptides representative of clusterin, lumican and lubricin showed statistically significant associations with joint space narrowing after adjustment for age and sex. Partial R(2) values showed clusterin FMETVAEK and lubricin LVEVNPK peptide biomarkers explains about 2 to 3% of the variability of ΔJSW, similar to that explained by age. A biomarker score combining normalized data for both lubricin and clusterin peptides increased the model R(2) to 0.079. CONCLUSIONS: Our results suggest that when combined, levels of peptides representative of clusterin and lubricin in plasma are as predictive of OA progression as age. Replication of these findings in other prospective OA cohorts is planned. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-014-0456-6) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-07 2014 /pmc/articles/PMC4207325/ /pubmed/25287745 http://dx.doi.org/10.1186/s13075-014-0456-6 Text en © Ritter et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), 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. |
spellingShingle | Research Article Ritter, Susan Y Collins, Jamie Krastins, Bryan Sarracino, David Lopez, Mary Losina, Elena Aliprantis, Antonios O Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title | Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title_full | Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title_fullStr | Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title_full_unstemmed | Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title_short | Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
title_sort | mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4207325/ https://www.ncbi.nlm.nih.gov/pubmed/25287745 http://dx.doi.org/10.1186/s13075-014-0456-6 |
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