Evidence map›Paper›PMID 39754769›Full record

ArticleCurrent pharmaceutical design2025

Predicting microRNAs and their Target Genes Involved in Sepsis Pathogenesis by using Bioinformatics Methods.

Maryam Musavi, Saeed Mohammadian Haftcheshmeh, Hadi Fazel, Amir Abbas Momtazi-Borojeni

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Article in Current pharmaceutical design, 2025. 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. Article
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

4 authors.

Maryam MusaviHealthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Saeed Mohammadian HaftcheshmehDépartement of Basic Medical Sciences, Neyshabur Université of Médical Sciences, Neyshabur, Iran.
Hadi FazelHealthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Amir Abbas Momtazi-BorojeniHealthy Ageing Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.

Funding

Neyshabur University of Medical Sciences, Neyshabur, Iran 1400-01-306
6 · The paper itself

Abstract

introductionSepsis, like neutropenic sepsis, is a medical condition in which our body overreacts to infectious agents. It is associated with damage to normal tissues and organs by the immune system, which leads to the spread of inflammation throughout our body. Of note, microRNAs (miRNAs) have been found to have a critical role in the sepsis progression. Such miRNAs are registered in the miRNA databases, such as Gene Expression Omnibus (GEO), with a specific identifier and unique characteristics. There is also computational software, such as TargetScan, that are broadly employed for the analysis of miRNAs, including their identification, target prediction, and functional analysis.

methodsThe current

resultsOur prediction results showed that hsa-miR-325-3p may target genes implicating in both anti-(ETFB gene) and pro-inflammatory (TCEA1 and PTPN1 genes) responses, suggesting it is an immune hemostasis regulator during sepsis inflammation. Although the role of other predicted miRNAs has been already validated in the sepsis pathogenesis, the current study predicted new targets of these miRNAs, which have not been reported by previous

conclusionIn conclusion, the results of the present study can provide promising targets as therapeutic and diagnostic tools to treat and manage inflammation sepsis, such as neutropenic sepsis. However, these findings should be further evaluated in experimental studies to find their exact effects and underlying mechanisms.

Indexed as

Computational BiologyMicroRNAsSepsisHumansMicroRNAsbacterial infectionbioinformaticsgene expression omnibusmicroRNAsSepsisTargetScan.

Identifiers

PMID39754769

What OpenQuestion holds

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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.