Evidence map›Paper›PMID 39640730›Full record

ArticleHeliyon2024

Alterations in the expression of serum-derived exosome-enclosed inflammatory microRNAs in Covid-19 patients.

Nazanin Joudaki, Ali Khodadadi, Marziye Shamshiri, Sajad Dehnavi, Ali Asadirad

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Nazanin JoudakiDepartment of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Ali KhodadadiDepartment of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Marziye ShamshiriDepartment of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Sajad DehnaviAllergy Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Ali AsadiradDepartment of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: MicroRNAs in exosomes play a role in biological processes such as inflammation and Epithelial-mesenchymal transition (EMT). In EMT, epithelial cells undergo phenotypic changes and become similar to mesenchymal cells. EMT increases the invasion and metastasis of cancer cells. We aimed to evaluate the expression levels of miRNA-21, miRNA-218, miRNA-155, and miRNA-10b, which are effective in the pathway of inflammation and EMT in serum-derived exosome of COVID-19 patients. Method: Blood samples were taken from 30 patients with COVID-19 and five healthy individuals as a control group. After separating the serum from the collected blood, the exosomes were purified from the serum. Relative expression of microRNAs was measured by real-time PCR method. Results: The relative expression of miRNA-21, miRNA-218, and miRNA-155 in serum-derived exosomes of patients with COVID-19 had a significant increase (p < 0.0001). Also, the relative expression of miRNA-10b was significantly increased in the patient group (p < 0.01), but the changes in the expression level of miRNA-10b were not as significant as the changes in the expression level of other microRNAs. Conclusion: miRNA-21, miRNA-218, miRNA-155, and miRNA-10b are involved in the pathogenesis of COVID-19 disease, and their transmission by exosomes leads to pathogenic lesions and problems in other parts of the body.

Indexed as

COVID-19Extracellular VesiclesmiRNA-10bmiRNA-155miRNA-21miRNA-218

Identifiers

PMID39640730
PMCPMC11620257

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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.