Development and use of biochemical markers in osteoarthritis: current update

Bay‐Jensen, Anne‐Christine; Thudium, Christian S.; Mobasheri, Ali

doi:10.1097/bor.0000000000000467

Cited by 48 publications

(42 citation statements)

References 54 publications

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“…An improved beneficial response to therapeutic injection after arthrocentesis may result from confirmation that the drug was actually delivered into the synovial space as some OA patients have very small SF volumes . It is also plausible that the therapeutic agent may have a prolonged half‐life following arthrocentesis due to a reduced concentration of catabolic synovial fluid cytokines and proteinases since even OA patients exhibit a SF profile of elevated inflammatory mediators and catabolic proteins which could degrade an injected drug more rapidly . There may also be greater detail observed on US images from RA patients since a larger area frequently identifies enhanced detail on the size of the synovial pannus and provides a larger area available for inspection and possibly to address adequacy of therapy following biologic therapy as reviewed by Vlad et al We did not perform power Doppler examination on the knees in this study so we cannot address if inflation to 100 mmHg might influence blood flow as assessed by power doppler signal generation.…”

Section: Discussionmentioning

confidence: 99%

Ultrasound measurement of knee synovial fluid during external pneumatic compression

Meehan¹,

Wilson

Hoffman³

et al. 2019

Journal Orthopaedic Research

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Synovial fluid based biomarker research has been limited by the small volumes of synovial fluid from the knees of some patients. We used ultrasound (US) to determine if synovial fluid could be displaced into an access port during pneumatic compression to 100 mmHg. Forty knees from 37 consecutive arthritis patients with rheumatoid arthritis −25, osteoarthritis −8, psoriatic arthritis −2, and 1 each with systemic lupus erythematosus and gout were evaluated. This group of 28 females and 9 males with a median age of 59 years and an average body mass index of 26.9 kg/m2 had previously undergone a diagnostic arthrocentesis and or a therapeutic knee injection using this pneumatic compression device. Blinded digital image analysis of the anechoic region on ultrasound demonstrated an increase in fluid within the 9 cm × 6 cm access port (anterolateral or anteromedial joint) during inflation in all patients with a 2.5–3.5 fold increase in fluid area and a 2–3 fold increase in fluid depth after inflation, p < 0.001. Statement of clinical significance: External pneumatic compression to the knee provides a larger volume of synovial fluid under positive pressure which should allow investigators to achieve greater success in obtaining synovial fluid during arthrocentesis for biomarker research or provide more precise therapeutic injections than traditional non image‐guided anatomical landmark‐based techniques. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res

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Section: Discussionmentioning

confidence: 99%

Ultrasound measurement of knee synovial fluid during external pneumatic compression

Meehan¹,

Wilson

Hoffman³

et al. 2019

Journal Orthopaedic Research

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“…Since metabolic alterations of chondrocytes usually precede the structural damage of cartilage, associated biomarkers are highly relevant for early diagnosis and might also allow a prediction of rapid disease progression. Biomarkers studied in OA are mostly associated with extracellular matrix turnover of cartilage, joint inflammation, or general metabolic parameters [8,9]. Although a broad spectrum of potential systemic markers has been tested only a few of them have repeatedly shown promising results.…”

Section: Introductionmentioning

confidence: 99%

Serum Cartilage Oligomeric Matrix Protein in Late-Stage Osteoarthritis: Association with Clinical Features, Renal Function, and Cardiovascular Biomarkers

Riegger

Rehm

Büchele

et al. 2020

JCM

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This study aimed to assess associations between serum cartilage oligomeric matrix protein (sCOMP) and phenotypic characteristics in late-stage hip and knee Osteoarthritis (OA) as well as its correlation with further serum markers of possible comorbidities in the Ulm Osteoarthritis Study. Moreover, the prognostic relevance of preoperative sCOMP concentrations for short-term functionality and pain outcomes after hip or knee joint replacement was explored. Preoperative serum samples and detailed information about the health status (i.e., WOMAC scores, Hannover Functionality Status (FFbH)) of 754 OA patients undergoing total joint replacement were included. Spearman rank-correlation coefficients and multiple linear regression models were used to evaluate the relationships between sCOMP, other serum markers, and health outcomes. There was a significant positive association between sCOMP and markers of renal (cystatin C, creatinine, and eGFR) and cardiac (e.g., NT-proBNP) impairment. Since renal failure might cause accumulation of sCOMP, additional adjustment with eGFR was performed. Preoperative sCOMP levels in knee OA but not hip OA patients were positively associated with FFbH, WOMAC function sub-scale and total WOMAC scale as well as the post-operative WOMAC stiffness sub-scale six months after surgery. Our data clearly demonstrate an association between sCOMP and renal function as well as other confounding factors, which should be considered in future biomarker studies.

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“…In the USA, 14 million people have symptomatic knee osteoarthritis (KOA) (Vina and Kwoh, 2017). Approximately 10–20% adult have OA (Bay-Jensen et al, 2018). Although OA is considered a disease primarily for the elderly, nowadays, more than half of patients with OA are under 65 years old.…”

Section: Introductionmentioning

confidence: 99%

“…If so, then the detection of OA will be much easier and more accurate. In fact, there have been several studies of blood biomarkers for OA (Ramos et al, 2014; Feng et al, 2015; Ahmed et al, 2016; Bay-Jensen et al, 2018; Costa-Cavalcanti et al, 2018). For example, Ramos et al demonstrated that the mRNA expression of apoptotic pathways was significantly different in the blood of patients with OA (Ramos et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Identification and Analysis of Blood Gene Expression Signature for Osteoarthritis With Advanced Feature Selection Methods

Lan

Kong

et al. 2018

Front. Genet.

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Osteoarthritis (OA) is a complex disease that affects articular joints and may cause disability. The incidence of OA is extremely high. Most elderly people have the symptoms of osteoarthritis. The physiotherapy of OA is time consuming, and the chances of full recovery from OA are very minimal. The most effective way of fighting OA is early diagnosis and early intervention. Liquid biopsy has become a popular noninvasive test. To find the blood gene expression signature for OA, we reanalyzed the publicly available blood gene expression profiles of 106 patients with OA and 33 control samples using an automatic computational pipeline based on advanced feature selection methods. Finally, a compact 23-gene set was identified. On the basis of these 23 genes, we constructed a Support Vector Machine (SVM) classifier and evaluated it with leave-one-out cross-validation. Its sensitivity (Sn), specificity (Sp), accuracy (ACC), and Mathew's correlation coefficient (MCC) were 0.991, 0.909, 0.971, and 0.920, respectively. Obviously, the performance needed to be validated in an independent large dataset, but the in-depth biological analysis of the 23 biomarkers showed great promise and suggested that mRNA surveillance pathway and multicellular organism growth played important roles in OA. Our results shed light on OA diagnosis through liquid biopsy.

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Development and use of biochemical markers in osteoarthritis: current update

Cited by 48 publications

References 54 publications

Ultrasound measurement of knee synovial fluid during external pneumatic compression

Ultrasound measurement of knee synovial fluid during external pneumatic compression

Serum Cartilage Oligomeric Matrix Protein in Late-Stage Osteoarthritis: Association with Clinical Features, Renal Function, and Cardiovascular Biomarkers

Identification and Analysis of Blood Gene Expression Signature for Osteoarthritis With Advanced Feature Selection Methods

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