Evidence map›Paper›PMID 29700729›Full record

Trial reportMolecular and cellular biochemistry2018

Possible use of miRNAs-146a and -499 expression and their polymorphisms as diagnostic markers for rheumatoid arthritis.

Ghada Ayeldeen, Yasser Nassar, Hanan Ahmed, Olfat Shaker, Tamer Gheita

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Molecular and cellular biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

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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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ghada AyeldeenDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Yasser NassarDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Hanan AhmedDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Olfat ShakerDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt. olfatshaker@yahoo.com.
Tamer GheitaDepartment of Rheumatology and Rehabilitation, Faculty of Medicine, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a systemic autoimmune disorder affecting the peripheral joints. Different microRNAs had been investigated in RA including miRNA-146a meanwhile, miRNA-499 there were no studies to prove its expression in RA serum samples. This study was performed to investigate expression of both miRNAs-146a and -499 and their polymorphisms in Egyptian patients with RA and to evaluate their relationship with clinico-pathological data. The present study includes 108 subjects classified into two main groups: 52 RA patients and 56 unrelated healthy controls. RA patients were subclassified according to DAS28 score into inactive (23 patients) and active (29 patients). Quantitative expression of serum miRNA-146a, miRNA-499 as well as their Genotyping rs2910164 (C/G) and rs3746444 (T/C), respectively, were done to all subjects using real-time PCR. Serum miRNA-146a and -499 were significantly over expressed in RA patients, but they were not correlated to disease activity. Serum miRNA-146a was negatively correlated with anti-nuclear antibodies (ANA). miRNA-146a (rs2910164) genotyping revealed that the GG genotype and the frequency of the G allele were significantly higher in RA patients compared to the controls. miRNA-499 (rs3746444), genotyping revealed that the CC genotype and the frequency of the C allele were significantly higher. It can be concluded that both miRNAs-146a and -499 can be used as diagnostic markers for RA patients. Both miRNA-146a (rs2710164) and miRNA-499 (rs3746444) were significantly associated with RA susceptibility. The C allele of miRNA-146a (rs2710164) can be considered to be protective. On the other hand, the C allele of miRNA-499 (rs3746444) was significantly associated with RA susceptibility.

Indexed as

Arthritis, RheumatoidGene Expression RegulationGenetic Predisposition to DiseaseMicroRNAsPolymorphism, GeneticAdultBiomarkersFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsMIRN146 microRNA, humanMIRN499 microRNA, humanmiRNA-146amiRNA-499RA

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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.