Evidence map›Paper›PMID 37969864›Full record

ArticleTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie2022

Expression and Bioinformatics Analysis of Key miRNAs in Stored Red Blood Cells.

Fang Jian, Yang Peng, Maohong Bian

Open access · goldAbstract read
In one paragraph

Article in Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie, 2022. 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, top 96% of its field
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, 0 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Fang JianDepartment of Blood Transfusion, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yang PengDepartment of Blood Transfusion, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Maohong BianDepartment of Blood Transfusion, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
First Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Erythrocyte transfusion is the most common therapeutic procedure in hospitalized patients. Adding standard preservatives to red blood cells allows them to be stored for up to 42 days. However, whether storage has an effect on the erythrocyte transcriptome has not been well-studied. Objective: This study was designed to explore the change of key risk microRNA (miRNAs) in stored erythrocytes. Methods: We reanalyzed differentially expressed genes in the gene expression dataset GSE114990 and predicted their target genes, followed by experimental Gene Ontology (GO) analysis and (Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Furthermore, the PPI network of target genes was constructed by the STRING database, and the module analysis was carried out. Results: We found two differential miRNAs, which were hsa-miR-1245a and hsa-miR-381. Enrichment analysis of GO and KEGG pathways confirmed that these target genes were significantly enriched in organ and system development, anchoring junction, transcription factor binding, and pathways of cancer. Conclusion: The results suggest that the miRNAs hsa-miR-381 and hsa-miR-1245a may serve as biomarkers for storage products of erythrocytes.

Indexed as

Bioinformatics analysisErythrocyteMicroRNAs

Identifiers

PMID37969864
PMCPMC10642532
OpenAlexW4220913978

What OpenQuestion holds

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Registered trials

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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.