Evidence map›Paper›PMID 39202323›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Lipidomic Signature of Plasma and Synovial Fluid in Patients with Osteoarthritis: Putative Biomarkers Determined by UHPLC-QTOF-ESI+MS.

Stefan Iulian Stanciugelu, Jenel Marian Patrascu, Jenel Marian Patrascu, Carmen Socaciu, Andreea Iulia Socaciu, Diana Nitusca, Catalin Marian

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

7 authors.

Stefan Iulian StanciugeluDoctoral School, Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania.ORCID 0000-0001-8293-1404
Jenel Marian PatrascuOrthopedic and Traumatology Clinic, Timisoara County Emergency Clinical Hospital, B-dul L Rebreanu Nr. 156, 300723 Timisoara, Romania.
Jenel Marian PatrascuOrthopedic and Traumatology Clinic, Timisoara County Emergency Clinical Hospital, B-dul L Rebreanu Nr. 156, 300723 Timisoara, Romania.
Carmen SocaciuBIODIATECH, Research Center for Applied Biotechnology in Diagnosis and Molecular Therapy, 400478 Cluj-Napoca, Romania.ORCID 0000-0002-7352-5057
Andreea Iulia SocaciuDepartment of Occupational Health, Iuliu Hateganu University of Medicine and Pharmacy, Str. Victor Babes Nr. 8, 400347 Cluj-Napoca, Romania.
Diana NituscaDepartment of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania.ORCID 0000-0002-5325-5221
Catalin MarianDepartment of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania.ORCID 0000-0002-7749-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a prevalent joint condition causing pain and disability, especially in the elderly. Currently, OA diagnosis relies on clinical data and imaging, but recent interest in metabolomics suggests that early biochemical changes in biofluids, particularly synovial fluid (SF), could enable an earlier diagnosis and understanding of the disease.

methodsIn this regard, we conducted a lipidomics study in 33 plasma and SF samples from OA patients and 20 OA-free controls to assess the diagnostic value of various lipid metabolites, using UHPLC-QTOF-ESI+MS.

resultsIn plasma samples, 25 metabolites had area-under-the-curve (AUC) values higher than 0.9, suggesting a very good diagnostic potential for phosphatidic acid PA (16:0/16:0), PA (34:0), phosphatidylethanolamine PE (34:2), glucosylceramide, phosphatidylcholine PC (32:1), and other metabolites while in SF 20, metabolites had AUC values higher than 0.8, the vast majority belonging to lipid metabolism as well.

conclusionsAlthough the results align with the previous literature, larger cohort studies are necessary to confirm the diagnostic value of the lipid metabolites.

Indexed as

biomarkersdiagnosticlipidomicsmetabolomicsosteoarthritis

Identifiers

PMID39202323
PMCPMC11354166

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