Evidence map›Paper›PMID 39488576›Full record

ArticleScientific reports2024

Comprehensive analysis of glycoprotein profiles and their association with cardiovascular disease-related microRNAs in rheumatoid arthritis, metabolic disorders, and controls.

Dídac Llop, Silvia Paredes, Roser Rosales, Núria Amigó, Lluís Masana, Josep Ribalta, Joan-Carles Vallvé

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Dídac LlopUnitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Silvia ParedesUnitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Roser RosalesUnitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Núria AmigóCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Madrid, 28029, Spain.
Lluís MasanaUnitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Josep Ribalta *Unitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Joan-Carles Vallvé *Unitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain. jc.vallve@urv.cat.

Funding

Instituto de Salud Carlos III FIS PI20/00443
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint pain and disability. The connection between RA and cardiovascular (CV) disease is still being studied. This research aims to explore the relationship between CV-related microRNAs, inflammation, and glycosylated proteins to understand RA's inflammatory pathophysiology concerning CV disease. The study included 219 RA patients, 82 with metabolic disorders, and 64 controls. Clinical evaluations and blood samples were collected. Quantification of microRNAs (Let7a, 24, 96, 103, 125a, 125b, 132, 146, 191, 223, 425, 451) and measurement of glycoproteins (GlycA, GlycB, GlycF) using proton nuclear magnetic resonance (1 H-NMR) were performed. Multivariate linear models were applied. RA patients showed higher glycoprotein levels than those with metabolic disorders and controls. Significant associations between miRNAs 24, 451, Let7a and glycoprotein levels were found in RA patients, particularly in women. Glycoprotein levels were positively correlated with inflammatory markers, highlighting their role in indicating RA severity. This study highlights elevated glycoprotein levels in RA patients, indicating a severe inflammatory pattern. Moreover, glycoproteins were highly associated with CV-disease-related miRNAs, indicating that glycoproteins are involved in both inflammation and CV disease. Finally, the inflammatory profile of glycoproteins was validated as they were highly associated with inflammatory markers of RA.

Indexed as

Arthritis, RheumatoidBiomarkersCardiovascular DiseasesGlycoproteinsMetabolic DiseasesMicroRNAsAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkersGlycoproteinsMicroRNAsCardiovascular diseaseInflammationmicroRNAsNuclear magnetic resonanceRheumatoid arthritis

Identifiers

PMID39488576
PMCPMC11531556

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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.