Evidence map›Paper›PMID 34723091›Full record

ArticleGeneral psychiatry2021

Aberrant expression of

Youwei Zhu, Yan Zhao, Xiaomin Xu, Hang Su, Xiaotong Li, Na Zhong, Haifeng Jiang, Jiang Du, Min Zhao

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Youwei ZhuShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan ZhaoShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaomin XuShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hang SuShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaotong LiShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Na ZhongShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haifeng JiangShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiang DuShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min ZhaoShanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-8382-3050
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCocaine use disorder (CUD) and associated psychosis are major public health issues worldwide, along with high relapse outcome and limited treatment options. Exploring the molecular mechanisms underlying cocaine-induced psychosis (CIP) could supply integrated insights for understanding the pathogenic mechanism and potential novel therapeutic targets.

aimsThe aim of the study was to explore common alterations of CUD-schizophrenia-target genes and identify core risk genes contributing to CIP through data mining and network pharmacology approach.

methodsTarget genes of CUD were obtained from GeneCards, Comparative Toxicogenomics Database, Swiss Target Prediction platform and PubChem. Schizophrenia-related target genes were derived from DisGeNET, GeneCards, MalaCards and Online Mendelian Inheritance in Man databases. Then, the overlap genes of these two sets were regarded as risk genes contributing to CIP. Based on these CUD-schizophrenia-target genes, functional annotation and pathway analysis were performed using the clusterProfiler package in R. Protein-protein interaction network construction and module detection were performed based on the Search Tool for the Retrieval of Interacting Genes (STRING) database and Cytoscape software. Gene expression datasets GSE54839 and GSE93577 were applied for data validation and diagnostic capacity evaluation of interested hub genes.

resultsA total of 165 CUD-schizophrenia-target genes were obtained. These genes were mainly contributing to chemical synaptic transmission, neuropeptide hormone activity, postsynaptic membrane and neuroactive ligand-receptor interaction pathway. Network analysis and validation analysis indicated that

conclusionsThis study generates a holistic view of CIP and provides a basis for the identification of potential CUD-schizophrenia-target genes involved in the development of CIP. The abnormal expression of

Indexed as

psychiatryschizophrenia

Identifiers

PMID34723091
PMCPMC8506846
OpenAlexW3206821885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.