Evidence map›Paper›PMID 42795645›Full record

ArticleMicroorganisms2026

Expression Analysis of Selected miRNAs in COVID-19 Patients.

Gökçe Kader Arslan, Mehmet Özdemir

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Gökçe Kader ArslanMedical Microbiology Department, Patnos State Hospital, 04500 Ağrı, Türkiye.ORCID 0000-0002-8571-0639
Mehmet ÖzdemirDivision of Medical Virology, Medical Microbiology Department, Faculty of Medicine, Necmettin Erbakan University, 42080 Konya, Türkiye.ORCID 0000-0002-9316-771X

Funding

Necmettin Erbakan University 221518027
6 · The paper itself

Abstract

Modulations in microRNA (miRNA) expression can contribute to disease pathogenesis and biological processes by regulating target proteins. We aimed to compare serum miRNA levels (miR-19a-3p, miR-19b-3p, miR-21, miR-26a-5p, miR-146a, let-7b-3p, miR-155, miR-16, miR-590, miR-1307-3p) between COVID-19 patients and healthy controls to investigate their clinical significance and contribution to disease pathogenesis. Blood samples were obtained from 70 patients diagnosed with COVID-19 and from 30 healthy individuals as a control group for comparison. The patients were stratified into three categories based on disease severity: mild, moderate, and severe. miRNA expression levels were quantified via real-time PCR, with relative quantification performed using the Livak ΔΔCT method by calculating the 2

Indexed as

COVID-19let-7b-3pmiR-1307-3pmiR-21miR-26a-5p

Identifiers

PMID42795645
PMCPMC13609553

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.