Evidence map›Paper›PMID 26733343›Full record

ArticleScientific reports2016

Altered expression of mRNA profiles in blood of early-onset schizophrenia.

Yong Xu, Yin Yao Shugart, Guoqiang Wang, Zaohuo Cheng, Chunhui Jin, Kai Zhang, Jun Wang, Hao Yu, Weihua Yue, Fuquan Zhang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Downregulated AKT-mTOR signaling pathway proteins in dorsolateral prefrontal cortex in Schizophrenia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Peripheral Transcription ofFrontiers in psychiatry · 2017
    Article
  20. Methamphetamine-induced psychosis is associated with DNA hypomethylation and increased expression of AKT1 and key dopaminergic genes.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2016
    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

11 authors.

Yong XuDepartment of Psychiatry, First Hospital /First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Yin Yao ShugartUnit on Statistical Genomics, Division of Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America.
Guoqiang WangWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Zaohuo ChengWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Chunhui JinWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Kai ZhangWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Jun WangWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Hao YuInstitute of Mental Health, Sixth Hospital, Peking University; Beijing 100191, China.
Weihua YueInstitute of Mental Health, Sixth Hospital, Peking University; Beijing 100191, China.
Fuquan ZhangWuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu Province, China.
Dai ZhangInstitute of Mental Health, Sixth Hospital, Peking University; Beijing 100191, China.

Funding

Developing new statisical methods to detect variants involved in complex diseaseZIAMH002929 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI YAO, YIN · 2011 to 2016
$2.6M
Intramural NIH HHSNIMH NIH HHS MH002929-05
6 · The paper itself

Abstract

To identify gene expression abnormalities in schizophrenia (SZ), we generated whole-genome gene expression profiles using microarrays on peripheral blood mononuclear cells (PBMCs) from 18 early-onset SZ cases and 12 controls. We detected 84 transcripts differentially expressed by diagnostic status, with 82 genes being upregulated and 2 downregulated. We identified two SZ associated gene coexpression modules (green and red), including 446 genes . The green module is positively correlated with SZ, encompassing predominantly up-regulated genes in SZ; while the red module was negatively correlated with disease status, involving mostly nominally down-regulated genes in SZ. The olfactory transduction pathway was the most enriched pathways for the genes within the two modules. The expression levels of several hub genes, including AKT1, BRCA1, CCDC134, UBD, and ZIC2 were validated using real-time quantitative PCR. Our findings indicate that mRNA coexpression abnormalities may serve as a promising mechanism underlying the development of SZ.

Indexed as

Gene Expression RegulationTranscriptomeAdolescentAge of OnsetCase-Control StudiesChildCluster AnalysisFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleReproducibility of ResultsRNA, MessengerSchizophreniaRNA, Messenger

Identifiers

PMID26733343
PMCPMC4702094

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.