Metabolic profiling of synovial fluid in a unilateral ovine model of anterior cruciate ligament reconstruction of the knee suggests biomarkers for early osteoarthritis

Mickiewicz, Beata; Heard, Bryan J.; Chau, Johnny; Chung, May; Hart, David A.; Shrive, Nigel G.; Frank, Cyril B.; Vogel, Hans J.

doi:10.1002/jor.22743

Cited by 57 publications

(51 citation statements)

References 32 publications

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“…A decrease in the methionine concentration indicates its utilization, where it is likely converted to S‐adenosylmethionine (SAM), which has been proposed as a cartilage damage repairing and inflammatory reducing factor . Interestingly, the metabolic pathways and physiological conditions highlighted here (i.e., hypoxia, inflammation and high energy requirements) are similar to those described in previous metabolomics studies of OA in SF . However, specific differences between metabolites could be due to the fact that some of the earlier studies focused on OA in animal models only or were lacking a healthy control group when examining a human population .…”

Section: Discussionmentioning

confidence: 55%

“…As a follow‐up to our recent study of synovial fluid in a sheep model of early OA, in the current contribution we have used proton nuclear magnetic resonance ( 1 H NMR) spectroscopy and gas chromatography‐mass spectrometry (GC‐MS) to identify metabolic patterns in SF of symptomatic chronic knee OA patients. An advantage of NMR is that this technique is quantitative, highly reproducible and can be executed in high‐throughput large subclinical settings .…”

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confidence: 99%

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Metabolic analysis of knee synovial fluid as a potential diagnostic approach for osteoarthritis

Mickiewicz¹,

Kelly²,

Ludwig

et al. 2015

Journal Orthopaedic Research

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Osteoarthritis (OA) is a leading cause of chronic joint pain in the older human population. Diagnosis of OA at an earlier stage may enable the development of new treatments to one day effectively modify the progression and prognosis of the disease. In this work, we explore whether an integrated metabolomics approach could be utilized for the diagnosis of OA. Synovial fluid (SF) samples were collected from symptomatic chronic knee OA patients and normal human cadaveric knee joints. The samples were analyzed using 1 H nuclear magnetic resonance (NMR) spectroscopy and gas chromatography-mass spectrometry (GC-MS) followed by multivariate statistical analysis. Based on the metabolic profiles, we were able to distinguish OA patients from the controls and validate the statistical models. Moreover, we have integrated the 1 H NMR and GC-MS results and we found that 11 metabolites were statistically important for the separation between OA and normal SF. Additionally, statistical analysis showed an excellent predictive ability of the constructed metabolomics model (area under the receiver operating characteristic curve ¼ 1.0). Our findings indicate that metabolomics might serve as a promising approach for the diagnosis and prognosis of degenerative changes in the knee joint and should be further validated in clinical settings.

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Section: Discussionmentioning

confidence: 55%

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confidence: 99%

Metabolic analysis of knee synovial fluid as a potential diagnostic approach for osteoarthritis

Mickiewicz¹,

Kelly²,

Ludwig

et al. 2015

Journal Orthopaedic Research

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“…The study, demonstrated the potential of this approach to help create a more systematic metabolome analysis16. Other recent studies in farm animals confirm the potential of NMR technique to metabolomics approaches17181920.…”

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confidence: 54%

The hepatic and skeletal muscle ovine metabolomes as affected by weight loss: a study in three sheep breeds using NMR-metabolomics

Palma

Scanlon²,

Kilminster³

et al. 2016

Sci Rep

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Sheep are a valuable resource for meat and wool production. During the dry summer, pastures are scarce and animals face Seasonal Weight Loss (SWL), which decreases production yields. The study of breeds tolerant to SWL is important to understand the physiological mechanisms of tolerance to nutritional scarcity, and define breeding strategies. Merino, Damara and Dorper sheep breeds have been described as having different levels of tolerance to SWL. In this work, we assess their liver and muscle metabolomes, and compare the responses to feed restriction. Ram lambs from each breed were divided into growth and feed restricted groups, over 42 days. Tissue metabolomes were assessed by 1H-NMR. The Dorper restricted group showed few changes in both tissues, suggesting higher tolerance to nutritional scarcity. The Merinos exhibited more differences between treatment groups. Major differences were related to fat and protein mobilization, and antioxidant activity. Between the Damara groups, the main differences were observed in amino acid composition in muscle and in energy-related pathways in the liver. Integration of present results and previous data on the same animals support the hypothesis that, Dorper and Damara breeds are more tolerant to SWL conditions and thus, more suitable breeds for harsh environmental conditions.

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“…In the category of animal products, bovine-based studies had the most articles published (16 articles) relative to all other groups. Some of the more interesting applications of metabolomics found in our survey include the use of metabolomics for quality control of animal products [46; 47], evaluating nutritional value and impact of various feed sources on animal health and products [25], investigating disease biology by using animal models of human disease [48; 49], investigation of potential metabolite biomarkers of animal disease [22; 23], assessment of production traits [50; 51], reproductive performance [29], and general metabolome characterization [52; 53]. …”

Section: Resultsmentioning

confidence: 99%

Livestock metabolomics and the livestock metabolome: A systematic review

Goldansaz¹,

Guo²,

Sajed³

et al. 2017

PLoS ONE

269

247

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Metabolomics uses advanced analytical chemistry techniques to comprehensively measure large numbers of small molecule metabolites in cells, tissues and biofluids. The ability to rapidly detect and quantify hundreds or even thousands of metabolites within a single sample is helping scientists paint a far more complete picture of system-wide metabolism and biology. Metabolomics is also allowing researchers to focus on measuring the end-products of complex, hard-to-decipher genetic, epigenetic and environmental interactions. As a result, metabolomics has become an increasingly popular “omics” approach to assist with the robust phenotypic characterization of humans, crop plants and model organisms. Indeed, metabolomics is now routinely used in biomedical, nutritional and crop research. It is also being increasingly used in livestock research and livestock monitoring. The purpose of this systematic review is to quantitatively and objectively summarize the current status of livestock metabolomics and to identify emerging trends, preferred technologies and important gaps in the field. In conducting this review we also critically assessed the applications of livestock metabolomics in key areas such as animal health assessment, disease diagnosis, bioproduct characterization and biomarker discovery for highly desirable economic traits (i.e., feed efficiency, growth potential and milk production). A secondary goal of this critical review was to compile data on the known composition of the livestock metabolome (for 5 of the most common livestock species namely cattle, sheep, goats, horses and pigs). These data have been made available through an open access, comprehensive livestock metabolome database (LMDB, available at http://www.lmdb.ca). The LMDB should enable livestock researchers and producers to conduct more targeted metabolomic studies and to identify where further metabolome coverage is needed.

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Metabolic profiling of synovial fluid in a unilateral ovine model of anterior cruciate ligament reconstruction of the knee suggests biomarkers for early osteoarthritis

Cited by 57 publications

References 32 publications

Metabolic analysis of knee synovial fluid as a potential diagnostic approach for osteoarthritis

Metabolic analysis of knee synovial fluid as a potential diagnostic approach for osteoarthritis

The hepatic and skeletal muscle ovine metabolomes as affected by weight loss: a study in three sheep breeds using NMR-metabolomics

Livestock metabolomics and the livestock metabolome: A systematic review

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