ArticleBiomarker insights2013
Identification of potential prognostic markers for knee osteoarthritis by serum proteomic analysis.
Article in Biomarker insights, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 30 citations in OpenAlex.
- Plasma Proteomics Reveals Persistent and Surgery-Responsive Molecular Signatures in Osteoarthritis Patients.International journal of molecular sciences · 2026Article
- Proteomic profiling of serum in cats with naturally occurring degenerative joint disease and co-morbid conditions.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers.Arthritis research & therapy · 2022Article
- Quantitative proteomic analysis comparing grades ICRS1 and ICRS3 in patients with osteoarthritis.Experimental and therapeutic medicine · 2021Article
- Review
- Soluble biological markers in osteoarthritis.Therapeutic advances in musculoskeletal disease · 2021Review
- Early urine proteome changes in an implanted bone cancer rat model.Bone reports · 2020Article
- Serum Peptidomic Profile as a Novel Biomarker for Rheumatoid Arthritis.International journal of rheumatology · 2020Article
- Synovial fluid proteome changes in ACL injury-induced posttraumatic osteoarthritis: Proteomics analysis of porcine knee synovial fluid.PloS one · 2019Article
- Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2016Review
- Transthyretin deposition in articular cartilage: a novel mechanism in the pathogenesis of osteoarthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2015Article
- Applying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2015Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs osteoarthritis (OA) is a highly heterogeneous disease in terms of progression, establishment of prognostic biomarkers would be highly beneficial for treatment. The present study was performed to identify novel biomarkers capable of predicting the progression of knee OA.
methodsA total of 69 plasma samples (OA patients undergoing radiographic progression, n = 25; nonprogression, n = 33; healthy donors, n = 11) were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS), and ion peaks of interest were identified by liquid chromatography and matrix-assisted laser desorption/ionization (MALDI)-TOF MS. The identities of these proteins were further validated by immunoprecipitation combined with SELDI-TOF MS analysis.
resultsSELDI-TOF MS analysis indicated that the intensities of 3 ion peaks differed significantly between progressors and nonprogressors. Subsequent analyses indicated that these peaks corresponded to apolipoprotein C-I, C-III, and an N-terminal truncated form of transthyretin, respectively. The identities of these proteins were confirmed by the loss of ion peaks in SELDI-TOF MS spectra by immunoprecipitation using specific antibodies for the respective proteins.
conclusionsThree potential biomarkers were identified whose serum levels differed significantly between OA progressors and nonprogressors. These biomarkers are expected to be prognostic biomarkers for knee OA and to facilitate the development of novel disease-modifying treatments for OA.
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