Plasma proteomics identifies CRTAC1 as a biomarker for osteoarthritis severity and progression
Open accessAbstract
Objectives: The aim of this study was to identify biomarkers for radiographic OA severity and progression acting within the inflammation and metabolic pathways. Methods: For 3517 Rotterdam Study participants, 184 plasma protein levels were measured using Olink inflammation and cardiometabolic panels. We studied associations with severity and progression of knee, hip and hand OA and a composite overall OA burden score by multivariable regression models, adjusting for age, sex, cell counts and BMI. Results: We found 18 significantly associated proteins for overall OA burden, of which 5 stayed significant after multiple testing correction: circulating cartilage acidic protein 1 (CRTAC1), cartilage oligomeric matrix protein (COMP), thrombospondin 4, IL-18 receptor 1 (IL-18R1) and TNF ligand superfamily member 14. These proteins were also associated with progression of knee OA, with the exception of IL-18R1. The strongest association was found for the level of CRTAC1, with 1 s.d. increase in protein level resulting in an increase of 0.09 (95% CI 0.06, 0.12) in the overall OA Kellgren–Lawrence sum score (P = 2.9 × 10−8) in the model adjusted for age, sex, BMI and cell counts. This association was also present with the severity of OA in all three joints and progression of knee OA and was independent of BMI. We observed a stronger association for CRTAC1 with OA than for the well-known OA biomarker COMP. Conclusion: We identified several compelling biomarkers reflecting the overall OA burden and the increased risk for OA progression. CRTAC1 was the most compelling and robust biomarker for OA severity and progression. Such a biomarker may be used for disease monitoring.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CTX-II is elevated in urine of knee OA patients.
“and is elevated in urine of knee OA patients”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [24]
The Introduction states that urinary CTX-II levels are associated with OA prevalence and progression at the population level. It does not specify knee OA or state that urinary CTX-II is elevated in knee OA patients relative to a comparison group. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCTX-II correlates with MRI-detected structural abnormalities: osteophytes R = 0.330, bone marrow lesions R = 0.252, and cartilage degradation R = 0.218, p < 0.05.
“and MRI-detected structural abnormalities (osteophytes R = 0.330, bone marrow lesions R = 0.252, cartilage degradation R = 0.218, p < 0.05)”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [24]
The Introduction (page unavailable) says urinary CTX-II is associated with osteoarthritis prevalence and progression at the population level. It does not report the claimed MRI correlations or their R and p values. The Methods describe radiographic, rather than MRI, measurements. (LLM, conf=0.82)
Experimental — accuracy not yet measuredCTX-II is a fragment of type II collagen, which constitutes 90% of cartilage collagen, and is cleaved by collagenases.
“Specifically, CTX-II is a fragment of type II collagen (90% of cartilage collagen) cleaved by collagenases”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [24]
The Introduction mentions urinary CTX-II as an osteoarthritis biomarker, but does not define it as a type II collagen fragment or give the 90% figure. The Discussion mentions collagenases in relation to MMP-10, not CTX-II. Searches for CTX-II cleavage and cartilage collagen composition found no passage addressing the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measuredCTX-II correlates with disease severity, being higher in Kellgren-Lawrence grades 3-4 than grade 2.
“correlating with disease severity (higher in Kellgren-Lawrence grades 3–4 vs. 2)”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [24]
The Introduction says urine CTX-II is associated with osteoarthritis prevalence and progression, but does not address its relationship with disease severity. The Methods and Results use Kellgren–Lawrence scores to assess severity for other proteins; they do not report CTX-II levels in grades 3–4 versus grade 2 (searched: CTX-II and the grade comparison). (LLM, conf=0.76)
Experimental — accuracy not yet measuredMultivariate analysis highlights osteophyte load and synovitis as predictors of CTX-II, suggesting contributions from bone and synovium.
“with multivariate analysis highlighting osteophyte load and synovitis as predictors, suggesting contributions from bone and synovium [23,24,25].”
From Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease (2025) · cites this paper as [24]
The Results (Knee OA) link osteophyte formation to CRTAC1 levels, not CTX-II. The Discussion states that uCTX-II data were unavailable, so the paper could not assess the claimed CTX-II predictors; the Introduction mentions synovial inflammation only as a general feature of osteoarthritis. No page numbers are provided in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Radiological Assessment of Osteo-Arthrosis
Kellgren, J., & Lawrence, J. S. (1957) · Annals of the Rheumatic Diseases · doi:10.1136/ard.16.4.494 · Cited by 12,472 · see citing works
Assarsson, E., Lundberg, M., Holmquist, G., Björkesten, J., Bucht Thorsen, S., Ekman, D., Eriksson, A., Rennel Dickens, E., Ohlsson, S., Edfeldt, G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095192 · Cited by 1,874 · see citing works
Osteoarthritis in 2020 and beyond: a Lancet Commission
Hunter, D. J., MARCH, L. M., & Chew, M. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32230-3 · Cited by 916 · see citing works
The role of metabolism in the pathogenesis of osteoarthritis
Mobasheri, A., Rayman, M. P., Gualillo, O., Sellam, J., van der Kraan, P., & Fearon, U. (2017) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2017.50 · Cited by 742 · see citing works
Aging-related inflammation in osteoarthritis
Greene, M. A., & Loeser, R. F. (2015) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2015.01.008 · Cited by 487 · see citing works
Genetics meets proteomics: perspectives for large population-based studies
Suhre, K., McCarthy, M. I., & Schwenk, J. M. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-0268-2 · Cited by 478 · see citing works
Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations
Boer, C. G., Hatzikotoulas, K., Southam, L., Stefánsdóttir, L., Zhang, Y., de Almeida, R. C., Wu, T. T., Zheng, J., Hartley, A. E., Teder‐Laving, M., et al. (2021) · Cell · doi:10.1016/j.cell.2021.07.038 · Cited by 441 · see citing works
Self-citationThe Rotterdam Study: 2018 update on objectives, design and main results
Ikram, M. A., Brusselle, G., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., Stricker, B. H. C., et al. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0321-4 · Cited by 431 · see citing works
Self-citationThe Role of Chondrocyte Hypertrophy and Senescence in Osteoarthritis Initiation and Progression
Rim, Y. A., Nam, Y., & Ju, J. H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072358 · Cited by 386 · see citing works
Differences in descriptions of Kellgren and Lawrence grades of knee osteoarthritis
Schiphof, D., Boers, M., & Bierma-Zeinstra, S. (2008) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2007.079020 · Cited by 351 · see citing works
Self-citationMatrix metalloproteinases as regulators of inflammatory processes
Fingleton, B. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2017.05.010 · Cited by 263 · see citing works
Synergistic insights into human health from aptamer- and antibody-based proteomic profiling
Pietzner, M., Wheeler, E., Carrasco-Zanini, J., Kerrison, N. D., Oerton, E., Koprulu, M., Luan, J., Hingorani, A. D., Williams, S. A., Wareham, N. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27164-0 · Cited by 234 · see citing works
Molecular aspects of pathogenesis in osteoarthritis: the role of inflammation
Hedbom, E., & Häuselmann, H. J. (2002) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-002-8404-z · Cited by 229 · see citing works
Osteoarthritis phenotypes and novel therapeutic targets
van Spil, W. E., Kubassova, O., Boesen, M., Bay‐Jensen, A., & Mobasheri, A. (2019) · Biochemical Pharmacology · doi:10.1016/j.bcp.2019.02.037 · Cited by 225 · see citing works
Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques
Langley, S. R., Willeit, K., Didangelos, A., Matic, L. P., Skroblin, P., Barallobre-Barreiro, J., Lengquist, M., Rungger, G., Kapustin, A., Kedenko, L., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci86924 · Cited by 174 · see citing works
Lee, W., Kim, S., Lee, Y. M., Lee, B.-B., Kwon, B., Song, H., Kwon, B. S., & Park, J.-E. (2001) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/hq1201.098945 · Cited by 148 · see citing works
Clockaerts, S., van Osch, G. J. V. M., Bastiaansen-Jenniskens, Y. M., Verhaar, J. A. N., Glabbeek, F. V., van Meurs, J. B. J., Kerkhof, H. J. M., Albert Hofman, D., Stricker, B. H. C., & Bierma‐Zeinstra, S. (2011) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2011-200092 · Cited by 140 · see citing works
Self-citationHosnijeh, F. S., Siebuhr, A. S., Uitterlinden, A. G., Oei, E. H. G., Albert Hofman, D., Karsdal, M. A., Bierma‐Zeinstra, S., Bay‐Jensen, A., & van Meurs, J. B. J. (2016) · Arthritis Research & Therapy · doi:10.1186/s13075-016-0976-3 · Cited by 126 · see citing works
Self-citationJames, C. G., Appleton, C. T., Ulici, V., Underhill, T. M., & Beier, F. (2005) · Molecular Biology of the Cell · doi:10.1091/mbc.e05-01-0084 · Cited by 125 · see citing works
Association of atherosclerosis with presence and progression of osteoarthritis: the Rotterdam Study
Hoeven, T. A., Kavousi, M., Clockaerts, S., Kerkhof, H. J. M., van Meurs, J. B. J., Franco, O. H., Albert Hofman, D., Bindels, P., Witteman, J. C. M., & Bierma‐Zeinstra, S. (2012) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2011-201178 · Cited by 124 · see citing works
Self-citationBarksby, H. E., Milner, J. M., Patterson, A. M., Peake, N., Hui, W., Robson, T., Lakey, R., Middleton, J., Cawston, T. E., Richards, C. D., et al. (2006) · Arthritis & Rheumatism · doi:10.1002/art.22167 · Cited by 119 · see citing works
Thrombospondin-4 Regulates Vascular Inflammation and Atherogenesis
Frolova, E. G., Pluskota, E., Krukovets, I., Burke, T., Drumm, C., Smith, J. D., Blech, L., Febbraio, M., BORNSTEIN, P. K., Plow, E. F., et al. (2010) · Circulation Research · doi:10.1161/circresaha.110.232371 · Cited by 118 · see citing works
Valdes, A. M., Meulenbelt, I., Chassaing, E., Arden, N., Bierma‐Zeinstra, S., Hart, D. J., Albert Hofman, D., Karsdal, M. A., Kloppenburg, M., Kroon, H. M. J. A., et al. (2014) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2014.02.007 · Cited by 99 · see citing works
Self-citationPáramo, J. A. (2007) · Frontiers in bioscience · doi:10.2741/2896 · Cited by 93 · see citing works
Steck, E., Bräun, J., Pelttari, K., Kadel, S., Kalbacher, H., & Richter, W. (2006) · Matrix Biology · doi:10.1016/j.matbio.2006.09.006 · Cited by 82 · see citing works
Kim, W., Kang, Y., Koh, E., Ahn, K., Cha, H., & Lee, W. (2005) · Immunology · doi:10.1111/j.1365-2567.2004.02004.x · Cited by 77 · see citing works
Biomarkers for osteoarthritis: Can they be used for risk assessment? A systematic review
Hosnijeh, F. S., Runhaar, J., van Meurs, J. B. J., & Bierma‐Zeinstra, S. (2015) · Maturitas · doi:10.1016/j.maturitas.2015.04.004 · Cited by 70 · see citing works
Self-citationOsteoarthritis year in review 2019: biomarkers (biochemical markers)
van Spil, W. E., & Szilagyi, I. A. (2019) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2019.11.007 · Cited by 68 · see citing works
Self-citationFu, Y., Gao, C., Liang, Y., Wang, M., Huang, Y., Ma, W., Li, T., Jia, Y., Yu, F. H. Z., Zhu, W., et al. (2016) · Circulation Research · doi:10.1161/circresaha.115.308021 · Cited by 66 · see citing works
Styrkársdóttir, U., Lund, S., Saevarsdottir, S., Magnusson, M. I., Gunnarsdottir, K., Norddahl, G., Frigge, M., Ivarsdottir, E. V., Bjornsdottir, G., Hólm, H., et al. (2021) · Arthritis & Rheumatology · doi:10.1002/art.41793 · Cited by 64 · see citing works
Mechanisms Involved in Childhood Obesity-Related Bone Fragility
Faienza, M., D'Amato, G., Chiarito, M., Colaianni, G., Colucci, S., Grano, M., Corbo, F., & Brunetti, G. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00269 · Cited by 63 · see citing works
A Role for MMP-10 (Matrix Metalloproteinase-10) in Calcific Aortic Valve Stenosis
Matilla, L., Roncal, C., Ibarrola, J., Arrieta, V., García-Peña, A., Fernández‐Celis, A., Navarro, A., Álvarez, V., Gainza, A., Orbe, J., et al. (2020) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.120.314143 · Cited by 63 · see citing works
Rahman, M. T., Muppala, S., Wu, J., Krukovets, I., Solovjev, D., Verbovetskiy, D., Obiako, C., Plow, E. F., & Stenina‐Adognravi, O. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-2237-2 · Cited by 53 · see citing works
Andersson, M., Svensson, B., Petersson, I. F., Hafström, I., Albertsson, K., Forslind, K., Heinegård, D. K., & Saxne, T. (2013) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-14-229 · Cited by 52 · see citing works
Liem, Y., Judge, A., Kirwan, J., Ourradi, K., Li, Y., & Sharif, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-68077-0 · Cited by 49 · see citing works
Luo, Y., Samuels, J., Krasnokutsky, S., Byrjalsen, I., Kraus, V. B., He, Y., Karsdal, M. A., Abramson, S. B., Attur, M. G., & Bay‐Jensen, A. (2021) · Journal of Orthopaedics and Traumatology · doi:10.1186/s10195-021-00572-0 · Cited by 46 · see citing works
Protein biomarkers associated with pain mechanisms in osteoarthritis
Thudium, C. S., Löfvall, H., Karsdal, M. A., Bay‐Jensen, A., & Bihlet, A. R. (2018) · Journal of Proteomics · doi:10.1016/j.jprot.2018.04.030 · Cited by 44 · see citing works
Hsu, C., Tseng, W.-K., Wu, Y., Lin, T., Yeh, H., Chang, K., Wang, J., Chou, R., Huang, C., Huang, P., et al. (2019) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.118.312166 · Cited by 32 · see citing works
The Expression of Thrombospondin-4 Correlates with Disease Severity in Osteoarthritic Knee Cartilage
Maly, K., Schaible, I., Riegger, J., Brenner, R. E., Meurer, A., & Zaucke, F. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20020447 · Cited by 25 · see citing works
Hultman, K., Edsfeldt, A., Björkbacka, H., Dunér, P., Sundius, L., Nitulescu, M., Persson, A. F., Boyle, J. J., Nilsson, J. Å., Hultgårdh‐Nilsson, A., et al. (2019) · Stroke · doi:10.1161/strokeaha.119.026457 · Cited by 21 · see citing works
Sastre, E. A., Maly, K., Zhu, M., Witte‐Bouma, J., Trompet, D., Böhm, A.-M., Brachvogel, B., van Nieuwenhoven, C. A., Maes, C., van Osch, G. J. V. M., et al. (2021) · Bone · doi:10.1016/j.bone.2021.115999 · Cited by 18 · see citing works
Cartilage Acidic Protein a Novel Therapeutic Factor to Improve Skin Damage Repair?
Félix, R. C., Anjos, L., Costa, R. A., Letsiou, S., & Power, D. M. (2021) · Marine Drugs · doi:10.3390/md19100541 · Cited by 8 · see citing works
Deciphering the role of cartilage protein 1 in human dermal fibroblasts: a transcriptomic approach
Letsiou, S., Manchado, M., Zografaki, M., Marka, S., Anjos, L., Skliros, D., Martínez-Blanch, J. F., Flemetakis, E., & Power, D. M. (2021) · Functional & Integrative Genomics · doi:10.1007/s10142-021-00792-x · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Rotterdam Study. Design update and major findings between 2020 and 2024
Ikram, M., Kieboom, B. C., Brouwer, W., Brusselle, G., Chaker, L., Ghanbari, M., Goedegebure, A., Ikram, M., Kavousi, M., de Knegt, R. J., et al. (2024) · European Journal of Epidemiology · doi:10.1007/s10654-023-01094-1 · Cited by 131 · see citing works
Self-citationNielsen, R. L., Monfeuga, T., Kitchen, R. R., Egerod, L., Leal, L. G., Schreyer, A. T. H., Gade, F. S., Sun, C. W., Helenius, M., Simonsen, L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46663-4 · Cited by 96 · see citing works
Nag, S., Mohanto, S., Ahmed, M. G., & Subramaniyan, V. (2024) · Materials Today Chemistry · doi:10.1016/j.mtchem.2024.102178 · Cited by 64 · see citing works
Rai, M. F., Collins, K. H., Lang, A., Maerz, T., Geurts, J., Ruíz‐Romero, C., June, R. K., Ramos, Y. F., Rice, S. J., Ali, S. A., et al. (2023) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.11.019 · Cited by 57 · see citing works
Zhou, K., Li, Y., Soderblom, E. J., Reed, A., Jain, V., Sun, S., Moseley, M. A., & Kraus, V. B. (2023) · Science Advances · doi:10.1126/sciadv.abq5095 · Cited by 48 · see citing works
Methods and clinical biomarker discovery for targeted proteomics using Olink technology
Wang, H., Zhao, T., Zeng, J., Zhang, R., Pu, L., Qian, S., Xu, S., Jiang, Y., Pan, L., Dai, X., et al. (2024) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.202300233 · Cited by 44 · see citing works
Recent development of mitochondrial metabolism and dysfunction in osteoarthritis
Guo, P., Alhaskawi, A., Moqbel, S. A. A., & Pan, Z. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1538662 · Cited by 67 · see citing works
An osteoarthritis pathophysiological continuum revealed by molecular biomarkers
Kraus, V. B., Sun, S., Reed, A., Soderblom, E. J., Moseley, M. A., Zhou, K., Jain, V., Arden, N., & Li, Y. (2024) · Science Advances · doi:10.1126/sciadv.adj6814 · Cited by 36 · see citing works
Plasma proteomic signature of fatty liver disease: The Rotterdam Study
Abozaid, Y. J., Ayada, I., van Kleef, L. A., Vallerga, C. L., Pan, Q., Brouwer, W. P., Ikram, M. A., van Meurs, J. B. J., de Knegt, R. J., & Ghanbari, M. (2023) · Hepatology · doi:10.1097/hep.0000000000000300 · Cited by 34 · see citing works
Self-citationStyrkarsdottir, U., Lund, S. H., Thorleifsson, G., Saevarsdottir, S., Gudbjartsson, D. F., Thorsteinsdottir, U., & Stefansson, K. (2023) · Arthritis & Rheumatology · doi:10.1002/art.42376 · Cited by 34 · see citing works
Zhang, X., Ma, S., Naz, S. I., Jain, V. K., Soderblom, E. J., Aliferis, C., & Kraus, V. B. (2023) · Clinical Immunology · doi:10.1016/j.clim.2023.109812 · Cited by 33 · see citing works
Osteoarthritis year in review 2023: metabolite and protein biomarkers
Liu, M., Haque, N., Huang, J., & Zhai, G. (2023) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.08.005 · Cited by 33 · see citing works
Plasma Proteomic Profiles Predict Individual Future Osteoarthritis Risk
Kang, Z., Zhang, J., Liu, W., Zhu, C., Zhu, Y., Li, P., Li, K., Tong, Q., & Dai, S. (2025) · Arthritis & Rheumatology · doi:10.1002/art.43143 · Cited by 29 · see citing works
The Genetics and Functional Genomics of Osteoarthritis
Arruda, A. L., Katsoula, G., Chen, S., Reimann, E., Kreitmaier, P., & Zeggini, E. (2024) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-010423-095636 · Cited by 28 · see citing works
Clinical and omics biomarkers in osteoarthritis diagnosis and treatment
Deng, M., Tang, C., Yin, L., Jiang, Y., Huang, Y., Feng, Y., & Chen, C. (2025) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2024.12.007 · Cited by 27 · see citing works
Novel approaches to the stratified management of knee osteoarthritis
Fuggle, N. R., Chapurlat, R. D., Laslop, A., Al‐Daghri, N. M., Alokail, M. S., Thiyagarajan, J. A., Bałkowiec-Iskra, E., Berenbaum, F., Bemden, A. B., Borg, J.-J., et al. (2025) · Nature Reviews Rheumatology · doi:10.1038/s41584-025-01305-x · Cited by 25 · see citing works
Zou, M., & Shao, Z. (2024) · Biomolecules · doi:10.3390/biom14030355 · Cited by 23 · see citing works
Serum proteomic biomarkers diagnostic of knee osteoarthritis
Kraus, V. B., Reed, A., Soderblom, E. J., Golightly, Y. M., Nelson, A. E., & Li, Y. (2023) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.09.007 · Cited by 19 · see citing works
Zhao, D., Zeng, L., Liang, G.-H., Luo, M.-H., Pan, J.-K., Dou, Y., Lin, F.-Z., Huang, H., Yang, W., & Liu, J. (2024) · Bone and Joint Research · doi:10.1302/2046-3758.132.bjr-2023-0074.r1 · Cited by 18 · see citing works
Multiple joint osteoarthritis (MJOA): What’s in a name?
Nelson, A. E. (2023) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.10.008 · Cited by 17 · see citing works
Tang, Y., Zhuo, D., Yu, Y., Pu, W., Ma, Y., Zhang, Y., Huang, Y., Zhang, Q., Tang, K., Meng, C., et al. (2024) · Aging Cell · doi:10.1111/acel.14320 · Cited by 15 · see citing works
Lv, T., Liu, J., Li, F., Ma, S., Wei, X., Li, X., Han, C., & Wang, X. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c05638 · Cited by 14 · see citing works
Serum proteomic panel validated for prediction of knee osteoarthritis progression
Kraus, V. B., Reed, A., Soderblom, E. J., Moseley, M. A., Hsueh, M.-F., Attur, M. G., Samuels, J., Abramson, S. B., & Li, Y. (2023) · Osteoarthritis and Cartilage Open · doi:10.1016/j.ocarto.2023.100425 · Cited by 13 · see citing works
Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease
Kumar, R., Sporn, K., Borole, A., Khanna, A., Gowda, C., Paladugu, P., Ngo, A., Jagadeesan, R., Zaman, N., & Tavakkoli, A. (2025) · Diagnostics · doi:10.3390/diagnostics15111418 · Cited by 10 · see citing works
Tan, Q., Li, F., Zhang, K., Liu, Z., Tian, Y., & Zhu, T. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00584 · Cited by 10 · see citing works
Biomarkers of endothelial dysfunction and cognition: A two‐step IPD meta‐analysis
Beran, M., Jansen, W. J., Oomens, J. E., Moonen, J. E. F., Slagboom, P. E., Huisman, M. A., Kok, A. A. L., Nooyens, A. C. J., VERSCHUREN, W., Stehouwer, C. D. A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14272 · Cited by 8 · see citing works
Self-citationAbdelnaby, R., Sonbol, Y. T., Dardeer, K. T., Elgenidy, A., Ebrahim, M., Elmenawi, K. A., Abdallah, A., Ballut, O., Metwally, S., Arafat, M. S., et al. (2022) · Clinical Immunology · doi:10.1016/j.clim.2022.109187 · Cited by 8 · see citing works
Chen, X., Gong, W., Zhang, P., Wang, C., Liu, B., Shao, X., He, Y., Liu, N., Lin, J., Qin, J., et al. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.08.014 · Cited by 7 · see citing works
Garnero, P., Gineyts, É., Rousseau, J., Sornay‐Rendu, E., & Chapurlat, R. D. (2023) · The Journal of Rheumatology · doi:10.3899/jrheum.2023-0684 · Cited by 4 · see citing works
Hasebe, M., Su, C., Kiel, D., & Yoshiji, S. (2025) · Current Osteoporosis Reports · doi:10.1007/s11914-025-00941-2 · Cited by 3 · see citing works
CRTAC1 has a Compact β-propeller–TTR Core Stabilized by Potassium Ions
Beugelink, J. W., Hóf, H., & Janssen, B. J. C. (2024) · Journal of Molecular Biology · doi:10.1016/j.jmb.2024.168712 · Cited by 4 · see citing works
Lascelles, B. D. X., Rakesh, P., Kamerling, S. G., & Williams, T. (2025) · Frontiers in Pain Research · doi:10.3389/fpain.2025.1501932 · Cited by 3 · see citing works
Pinpointing novel targets for osteoarthritis: A comprehensive cross-omics integration analysis
Xu, W., Que, Z.-Q., Tao, K., Ling, J., & Zeng, Z. (2025) · Medicine · doi:10.1097/md.0000000000043980 · Cited by 2 · see citing works
CRTAC1 as a biomarker for osteoarthritis: Link to inflammation and microRNA regulation
Prokopcova, A., Baloun, J., Mocová, K., Ondrejčáková, L., Kropáčková, T., Tomčík, M., Šléglová, O., Růžičková, O., Ballay, R., Petr, F., et al. (2026) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2026.01.004 · Cited by 2 · see citing works
Wang, J., Cheng, X., Wang, J., Yin, J., Xing, X., & Cai, G. (2026) · Clinical Rheumatology · doi:10.1007/s10067-026-07992-5 · Cited by 2 · see citing works
Decreased plasma cartilage acidic protein 1 in COVID‐19
Johansson, M. W., Balnis, J., Muehlbauer, L. K., Bukhman, Y. V., Stefely, M. S., Overmyer, K. A., Vancavage, R., Tiwari, A., Adhikari, A., Feustel, P. J., et al. (2023) · Physiological Reports · doi:10.14814/phy2.15814 · Cited by 2 · see citing works
Deng, X., Niu, H., Zhang, Q., Wen, J., Zhao, Y., Naren, G., Liu, H., Guo, X., Zhang, F., & Wu, C. (2024) · Biomedical Chromatography · doi:10.1002/bmc.5945 · Cited by 2 · see citing works
CRTAC1: a novel indicator of lung involvement in SSc
Prokopcova, A., Oreská, S., Wunsch, H., Baloun, J., Bečvář, R., Šenolt, L., & Tomčík, M. (2025) · Lara D. Veeken · doi:10.1093/rheumatology/keaf269 · Cited by 1 · see citing works
Clavreul, A., Guillonneau, F., Blanchet, O., Lasla, H., Rousseau, A., Guette, C., Boissard, A., Henry, C., Dhondt, M., Jézéquel, P., et al. (2025) · Molecular Oncology · doi:10.1002/1878-0261.70068 · Cited by 1 · see citing works
Struglics, A. (2023) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2023.12.002 · Cited by 1 · see citing works
Putter, P. C., Beekman, M., Lakenberg, N., Lackmann, J., Müller, S., Müller, R., Deelen, J., Slagboom, P. E., Antczak, P., & van den Berg, N. (2026) · medRxiv · doi:10.64898/2026.02.06.26345744 · Cited by 1 · see citing works
Sokhangouy, S. K., Asadnia, A., Negahbanzaferanloo, Z., Hanaie, R., Ghorbani, E., Lagzian, E., Tabari, M., Akbarzade, H., Fiuji, H., Khazaei, M., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3557321/v1
Yamauchi, S., Sasaki, E., Tatara, Y., Ishíbashi, K., Tsushima, T., Kimura, Y., Tsuda, E., & Ishibashi, Y. (2025) · Cartilage · doi:10.1177/19476035251363443
Xie, S., Liu, M., Wang, Y., Cao, S., Yang, Y., Chen, R., Gao, T., Ma, J., Lv, Z., & Song, Y. (2026) · Journal of Inflammation Research · doi:10.2147/jir.s565577
Sari, D., Çon, F., Güvendi, M., Yelkenci, H. E., Helvacı, N., Kural, A., Zámocký, M., Kural, C., & Beker, M. Ç. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27062862
施东雯, Luo, Y., Zhang, P., Liang, B., Wang, M., Cai, H., & Pang, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1744789
Mustonen, A., Tampio, J., Huttunen, K. M., Julkunen, P., Säïsänen, L., Karttunen, L., Reijonen, J., Esrafilian, A., Kuningas, T., Kumar, A., et al. (2026) · Cartilage · doi:10.1177/19476035261455413
Prokopcova, A., Baloun, J., Mocová, K., & Šenolt, L. (2026) · Life Sciences · doi:10.1016/j.lfs.2026.124524
Gawelowicz, K., Simonsen, M. B., Hedström, M., Broström, E. W., Aulin, C., & Naili, J. E. (2026) · Osteoarthritis and Cartilage Open · doi:10.1016/j.ocarto.2026.100854
Generalized osteoarthritis through the lens of modern knowledge
Pravdyuk, N. G., Клименко, А. А., Shostak, N. A., & Negrebetskaya, M. V. (2026) · The Clinician · doi:10.17650/1818-8338-2026-20-1-k786
Fundamentals of osteoarthritis: Biomarkers
Kraus, V. B., & Karsdal, M. A. (2026) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2026.10.002
- Authors
- Szilagyi, I. A., Vallerga, C. L., Boer, C. G., Schiphof, D., Ikram, M. A., Bierma-Zeinstra, S. M. A., & van Meurs, J. B. J.
- Affiliations
- Department of General Practice
- Department of Internal Medicine
- Erasmus MC (NL)
- Venue
- Rheumatology
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-08-04
- Volume
- 62
- Issue
- 3
- Pages
- 1286-1295
- ISSN
- 1462-0324 (ISSN-L)
- 1462-0332
- PMC
- PMC9977119
- OpenAlex
- W4289844876
- Cited by
- 51
- References
- 44
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 14 · 2023: 12 · 2022: 2
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Lara D. Veeken (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (acceptedVersion, cc-by-nc)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, cc-by-nc)
- Funders
- Netherlands Organisation for Health Research and Development (849200003)
- Topics
- Health Sciences › Medicine › Rheumatology › Osteoarthritis Treatment and Mechanisms
- Health Sciences › Medicine › Surgery › Hip disorders and treatments
- Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
- Keywords
- osteoarthritis, CRTAC1, plasma biomarkers, disease progression, disease severity, knee osteoarthritis, hip osteoarthritis, hand osteoarthritis, cartilage oligomeric matrix protein, thrombospondin-4, Kellgren-Lawrence grade, inflammation
- MeSH terms
- Calcium-Binding Proteins, Humans, Inflammation, Knee Joint, Biomarkers, Disease Progression, Osteoarthritis, Knee, Proteomics, Cartilage Oligomeric Matrix Protein
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review