Evidence map›Paper›PMID 38390236›Full record

ArticleIBRO neuroscience reports2024

Hub genes, a diagnostic model, and immune infiltration based on ferroptosis-linked genes in schizophrenia.

Kun Lian, Yongmei Li, Wei Yang, Jing Ye, Hongbing Liu, Tianlan Wang, Guangya Yang, Yuqi Cheng, Xiufeng Xu

Open access · goldAbstract read
In one paragraph

Article in IBRO neuroscience reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 13 citations in OpenAlex.

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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 4 institutions in 1 country.

Kun LianDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, China.
Yongmei LiDepartment of Rehabilitation, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650101, China.
Wei YangDepartment of Psychiatry, The Second People's Hospital of Yuxi, Yuxi, Yunnan 653100, China.
Jing YeSleep Medical Center, The First People's Hospital of Yunnan, Kunming, Yunnan 650101, China.
Hongbing LiuDepartment of Psychiatry, Lincang Psychiatric Hospital, Lincang, Yunnan 677000, China.
Tianlan WangDepartment of Psychiatry, Lincang Psychiatric Hospital, Lincang, Yunnan 677000, China.
Guangya YangDepartment of Psychiatry, Lincang Psychiatric Hospital, Lincang, Yunnan 677000, China.
Yuqi ChengDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650000, China.
Xiufeng XuDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650000, China.
Kunming Medical University · CNLinzhou Cancer Hospital · CNFirst People's Hospital of Yunnan Province · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Schizophrenia (SCZ) is a prevalent and serious mental disorder, and the exact pathophysiology of this condition is not fully understood. In previous studies, it has been proven that ferroprotein levels are high in SCZ. It has also been shown that this inflammatory response may modify fibromodulin. Accumulating evidence indicates a strong link between metabolism and ferroptosis. Therefore, the present study aims to identify ferroptosis-linked hub genes to further investigate the role that ferroptosis plays in the development of SCZ. Material and methods: From the GEO database, four microarray data sets on SCZ (GSE53987, GSE38481, GSE18312, and GSE38484) and ferroptosis-linked genes were extracted. Using the prefrontal cortex expression matrix of SCZ patients and healthy individuals as the control group from GSE53987, weighted gene co-expression network analysis (WGCNA) was performed to discover SCZ-linked module genes. From the feed, genes associated with ferroptosis were retrieved. The intersection of the module and ferroptosis-linked genes was done to obtain the hub genes. Then, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and Gene Set Enrichment Analysis (GSEA) were conducted. The SCZ diagnostic model was established using logistic regression, and the GSE38481, GSE18312, and GSE38484 data sets were used to validate the model. Finally, hub genes linked to immune infiltration were examined. Results: A total of 13 SCZ module genes and 7 hub genes linked to ferroptosis were obtained: Conclusion: In this study, seven critical genes that are strongly associated with ferroptosis in patients with SCZ were discovered, a valid clinical diagnostic model was built, and a novel therapeutic target for the treatment of SCZ was identified by the investigation of immune infiltration.

Indexed as

Diagnostic modelFerroptosisHub geneImmune infiltrationSchizophreniaWGCNA

Identifiers

PMID38390236
PMCPMC10882140
OpenAlexW4391512582

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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.