Literature DB >> 33290503

Nuclear magnetic resonance spectroscopy of biofluids for osteoarthritis.

Emily J Clarke1, James R Anderson1, Mandy J Peffers1.   

Abstract

BACKGROUND: Osteoarthritis is a common degenerative musculoskeletal disease of synovial joints. It is characterized by a metabolic imbalance resulting in articular cartilage degradation, reduced elastoviscosity of synovial fluid and an altered chondrocyte phenotype. This is often associated with reduced mobility, pain and poor quality of life. Subsequently, with an ageing world population, osteoarthritis is of increasing concern to public health. Nuclear magnetic resonance (NMR) spectroscopy can be applied to characterize the metabolomes of biofluids, determining changes associated with osteoarthritis pathology, identifying potential biomarkers of disease and alterations to metabolic pathways. SOURCES OF DATA: A comprehensive search of PubMed and Web of Science databases using combinations of the following keywords: 'NMR Spectroscopy', 'Blood', 'Plasma', 'Serum', 'Urine', 'Synovial Fluid' and 'Osteoarthritis' for articles published from 2000 to 2020. AREAS OF AGREEMENT: The number of urine metabolomics studies using NMR spectroscopy to investigate osteoarthritis is low, whereas the use of synovial fluid is significantly higher. Several differential metabolites have previously been identified and mapped to metabolic pathways involved in osteoarthritis pathophysiology. AREAS OF CONTROVERSY: Conclusions are sometimes conservative or overinflated, which may reflect the variation in reporting standards. NMR metabolic experimental design may require further consideration, as do the animal models used for such studies. GROWING POINTS: There are various aspects which require improvement within the field. These include stricter adherence to the Metabolomics Standards Initiative, inclusive of the standardization of metabolite identifications; increased utilization of integrating NMR metabolomics with other 'omic' disciplines; and increased deposition of raw experimental files into open access online repositories, allowing greater transparency and enabling additional future analyses. AREAS TIMELY FOR DEVELOPING RESEARCH: Overall, this research area could be improved by the inclusion of more heterogeneous cohorts, reflecting varying osteoarthritis phenotypes, and larger group sizes ensuring studies are not underpowered. To correlate local and systemic environments, the use of blood for diagnostic purposes, over the collection of synovial fluid, requires increased attention. This will ultimately enable biomarkers of disease to be determined that may provide an earlier diagnosis, or provide potential therapeutic targets for osteoarthritis, ultimately improving patient prognosis.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  biofluids; metabolomics; nuclear magnetic resonance; osteoarthritis; plasma; serum; synovial fluid; urine

Year:  2021        PMID: 33290503      PMCID: PMC7995852          DOI: 10.1093/bmb/ldaa037

Source DB:  PubMed          Journal:  Br Med Bull        ISSN: 0007-1420            Impact factor:   4.291


  33 in total

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Review 2.  Transcriptomic and metabolomic data integration.

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Review 3.  Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes.

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7.  1H NMR investigation of normal and osteo-arthritic synovial fluid in the horse.

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8.  A decade after the metabolomics standards initiative it's time for a revision.

Authors:  Rachel A Spicer; Reza Salek; Christoph Steinbeck
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9.  Optimization of Synovial Fluid Collection and Processing for NMR Metabolomics and LC-MS/MS Proteomics.

Authors:  James R Anderson; Marie M Phelan; Luis M Rubio-Martinez; Matthew M Fitzgerald; Simon W Jones; Peter D Clegg; Mandy J Peffers
Journal:  J Proteome Res       Date:  2020-04-07       Impact factor: 4.466

10.  A Tool to Encourage Minimum Reporting Guideline Uptake for Data Analysis in Metabolomics.

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