Evidence map›Paper›PMID 35781849›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2022

Metabolic discrimination of synovial fluid between rheumatoid arthritis and osteoarthritis using gas chromatography/time-of-flight mass spectrometry.

Sooah Kim, Jiwon Hwang, Jungyeon Kim, Sun-Hee Lee, Yu Eun Cheong, Seulkee Lee, Kyoung Heon Kim, Hoon-Suk Cha

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Article in Metabolomics : Official journal of the Metabolomic Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

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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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Sooah Kim *Department of Environment Science & Biotechnology, Jeonju University, Jeonju, 55069, Republic of Korea.
Jiwon Hwang *Division of Rheumatology, Department of Internal Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 51353, Republic of Korea.
Jungyeon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul, 02841, Republic of Korea.
Sun-Hee LeeDepartment of Biotechnology, Graduate School, Korea University, Seoul, 02841, Republic of Korea.
Yu Eun CheongDepartment of Biotechnology, Graduate School, Korea University, Seoul, 02841, Republic of Korea.
Seulkee LeeDivision of Rheumatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
Kyoung Heon KimDepartment of Biotechnology, Graduate School, Korea University, Seoul, 02841, Republic of Korea. khekim@korea.ac.kr.ORCID http://orcid.org/0000-0003-4600-8668
Hoon-Suk ChaDivision of Rheumatology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea. hoonsuk.cha@samsung.com.
Korea University · KRJeonju University · KRSamsung Medical Center · KRSamsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRheumatoid arthritis (RA) and osteoarthritis (OA) are clinicopathologically different.

objectivesWe aimed to assess the feasibility of metabolomics in differentiating the metabolite profiles of synovial fluid between RA and OA using gas chromatography/time-of-flight mass spectrometry.

methodsWe first compared the global metabolomic changes in the synovial fluid of 19 patients with RA and OA. Partial least squares-discriminant, hierarchical clustering, and univariate analyses were performed to distinguish metabolites of RA and OA. These findings were then validated using synovial fluid samples from another set of 15 patients with RA and OA.

resultsWe identified 121 metabolites in the synovial fluid of the first 19 samples. The score plot of PLS-DA showed a clear separation between RA and OA. Twenty-eight crucial metabolites, including hypoxanthine, xanthine, adenosine, citrulline, histidine, and tryptophan, were identified to be capable of distinguishing RA metabolism from that of OA; these were found to be associated with purine and amino acid metabolism.

conclusionOur results demonstrated that metabolite profiling of synovial fluid could clearly discriminate between RA and OA, suggesting that metabolomics may be a feasible tool to assist in the diagnosis and advance the comprehension of pathological processes for diseases.

Indexed as

Arthritis, RheumatoidOsteoarthritisGas Chromatography-Mass SpectrometryHumansMetabolomicsSynovial FluidGas chromatography–mass spectrometryMetabolite profilingOsteoarthritisRheumatoid arthritisSynovial fluid

Identifiers

PMID35781849
OpenAlexW4283799613

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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.