Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ritter, Susan Y, Collins, Jamie, Krastins, Bryan, Sarracino, David, Lopez, Mary, Losina, Elena, Aliprantis, Antonios O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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
_version_ 1782340951087251456
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
work_keys_str_mv AT rittersusany massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT collinsjamie massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT krastinsbryan massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT sarracinodavid massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT lopezmary massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT losinaelena massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis
AT aliprantisantonioso massspectrometryassaysofplasmabiomarkerstopredictradiographicprogressionofkneeosteoarthritis