Evidence map›Paper›PMID 39772290›Full record

ArticlePsychiatry and clinical psychopharmacology2024

Differential Expression of miR-26b-5p, EGR1, and STAT1 in Peripheral Blood of Schizophrenia Patients.

Yilin Liu, Fuyi Qin, Lei Yu, Xinling Zhao, Qing Long, Xiao Ma, Xu You, Yunqiao Zhang, Yatang Chen, Yong Zeng

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 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

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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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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

10 authors.

Yilin LiuThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Fuyi QinThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Lei YuQujing Third People's Hospital, Qujing, Yunnan, China.
Xinling ZhaoThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Qing LongThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xiao MaThe Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China.
Xu YouHonghe Second People's Hospital, Jianshui, Yunnan, China.
Yunqiao ZhangThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yatang ChenChongqing University Central Hospital, Chongqing, China.
Yong ZengThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate miRNAs and upstream regulatory transcription factors involved in schizophrenia (SZ) pathogenesis. Methods: Differential expression of miRNAs and genes in SZ patients was investigated utilizing the gene expression omnibus dataset, gene ontology annotations, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. Real-time quantitative polymerase chain reaction experiments were conducted to validate the predictive screening of regulatory genes in peripheral blood samples from 20 SZ patients and 20 healthy controls. The diagnostic potential of these factors within these samples was assessed via receiver operating characteristic (ROC) curve analyses. Results: Fifty-eight miRNAs were identified as differentially expressed in the peripheral blood of SZ patients. miR-26b-5p exhibited significantly reduced expression in SZ patients compared to healthy individuals. Additionally, 1422 mRNAs were differentially expressed, including 5 transcription factors potentially regulating miR-26b-5p expression. Among these, EGR1 and STAT1 displayed significantly lower expression levels in SZ patients. Receiver operating characteristic analysis revealed areas under the curve of 0.76 for miR-26b-5p, 0.74 for EGR1, 0.82 for STAT1, and 0.85 for the combined STAT1-miR-26b-5p diagnosis. Conclusion: The reduced expression of miR-26b-5p, EGR1, and STAT1 in the peripheral blood of SZ patients, compared to healthy controls, suggests a strong association with SZ. These molecules represent potential diagnostic biomarkers, with the combined marker STAT1-miR-26b-5p potentially offering enhanced diagnostic accuracy.

Identifiers

PMID39772290
PMCPMC11744383

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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.