Evidence map›Paper›PMID 32435463›Full record

ReviewBone & joint research2020

Can joint fluid metabolic profiling (or "metabonomics") reveal biomarkers for osteoarthritis and inflammatory joint disease?: A systematic review.

Pouya Akhbari, Urvi Karamchandani, Matthew K J Jaggard, Goncalo Graça, Rajarshi Bhattacharya, John C Lindon, Horace R T Williams, Chinmay M Gupte

Abstract readReview
In one paragraph

Review in Bone & joint research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  17. Diabetes - osteoarthritis and joint pain.Bone & joint research · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Pouya AkhbariDepartment of Orthopaedics & Trauma, Imperial College Healthcare NHS Trust, London, UK.
Urvi KaramchandaniSchool of Medicine, Imperial College London, London, UK.
Matthew K J JaggardDepartment of Orthopaedics & Trauma, Imperial College Healthcare NHS Trust, London, UK.
Goncalo GraçaDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Rajarshi BhattacharyaDepartment of Orthopaedics & Trauma, Imperial College Healthcare NHS Trust, London, UK.
John C LindonDepartment of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Horace R T WilliamsDigestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
Chinmay M GupteDepartment of Surgery and Cancer, Imperial College London, and Department of Orthopaedics & Trauma, Imperial College Healthcare NHS Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMetabolic profiling is a top-down method of analysis looking at metabolites, which are the intermediate or end products of various cellular pathways. Our primary objective was to perform a systematic review of the published literature to identify metabolites in human synovial fluid (HSF), which have been categorized by metabolic profiling techniques. A secondary objective was to identify any metabolites that may represent potential biomarkers of orthopaedic disease processes.

methodsA systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines using the MEDLINE, Embase, PubMed, and Cochrane databases. Studies included were case series, case control series, and cohort studies looking specifically at HSF.

resultsThe primary analysis, which pooled the results from 17 published studies and four meeting abstracts, identified over 200 metabolites. Seven of these studies (six published studies, one meeting abstract) had asymptomatic control groups and collectively suggested 26 putative biomarkers in osteoarthritis, inflammatory arthropathies, and trauma. These can broadly be categorized into amino acids plus related metabolites, fatty acids, ketones, and sugars.

conclusionThe role of metabolic profiling in orthopaedics is fast evolving with many metabolites already identified in a variety of pathologies. However, these results need to be interpreted with caution due to the presence of multiple confounding factors in many of the studies. Future research should include largescale epidemiological metabolic profiling studies incorporating various confounding factors with appropriate statistical analysis to account for multiple testing of the data.

Indexed as

Inflammatory arthropathiesMetabolic profilingMetabonomicsOsteoarthritisRheumatoid arthritis

Identifiers

PMID32435463
PMCPMC7229296

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.