Evidence map›Paper›PMID 30967896›Full record

ArticleFrontiers in genetics2019

Central and Peripheral Changes in FOS Expression in Schizophrenia Based on Genome-Wide Gene Expression.

Jing Huang, Fangkun Liu, Bolun Wang, Hui Tang, Ziwei Teng, Lehua Li, Yan Qiu, Haishan Wu, Jindong Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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 3 institutions in 1 country.

Jing HuangDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Fangkun LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Bolun WangDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Hui TangDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Ziwei TengDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Lehua LiDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Yan QiuDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Haishan WuDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Jindong ChenDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia is a chronic, debilitating neuropsychiatric disorder. Multiple transcriptomic gene expression profiling analysis has been used to identify schizophrenia-associated genes, unravel disease-associated biomarkers, and predict clinical outcomes. We aimed to identify gene expression regulation, underlying pathways, and their roles in schizophrenia pathogenesis. We searched the Gene Expression Omnibus (GEO) database for microarray studies of fibroblasts, lymphoblasts, and post-mortem brains of schizophrenia patients. Our analysis demonstrated high FOS expression in non-neural peripheral samples and low FOS expression in brain tissues of schizophrenia patients compared with healthy controls. FOS exhibited predictive value for schizophrenia patients in these datasets. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that "amphetamine addiction" was among the top 10 significantly enriched KEGG pathways. FOS and FOSB, which are implicated in the amphetamine addiction pathway, were up-regulated in schizophrenia fibroblast samples. Protein-protein interaction (PPI) network analysis revealed that proteins closely interacting with FOS-encoded protein were also involved in the amphetamine addiction pathway. Pearson correlation test indicated that FOS showed positive correlation with genes in the amphetamine pathway. The results revealed that FOS was acceptable as a biomarker for schizophrenia and may be involved in schizophrenia pathogenesis.

Indexed as

amphetamine addiction pathwayFOSGEOre-analysisschizophrenia

Identifiers

PMID30967896
PMCPMC6439315
OpenAlexW2919333360

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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.