Evidence map›Paper›PMID 27030512›Full record

ArticleScientific reports2016

Dysregulated 14-3-3 Family in Peripheral Blood Leukocytes of Patients with Schizophrenia.

Ying Qing, Liya Sun, Chao Yang, Jie Jiang, Xuhan Yang, Xiaowen Hu, Donghong Cui, Yifeng Xu, Lin He, Dongmei Han and 1 more

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. The 14-3-3 Protein Family and Schizophrenia.Frontiers in molecular neuroscience · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Ying QingShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Liya SunShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Chao YangShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Jie JiangShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Xuhan YangShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Xiaowen HuShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Donghong CuiShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Yifeng XuShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Lin HeShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Dongmei HanInstrumental Analysis Center, Shanghai Jiao Tong University, Shanghai 200240, China.
Chunling WanShanghai Mental Health Center, Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Key Laboratory of Translational Psychiatry, Shanghai Jiao Tong University, Shanghai 200030, China.
Shanghai Jiao Tong University · CNShanghai Mental Health Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 14-3-3 family, which is composed of seven distinct members in humans, plays important roles in the cell cycle, apoptosis, synaptic plasticity and neuronal differentiation and migration. Previous genetic and post-mortem gene expression studies have linked this family to schizophrenia. However, the direction of gene expression changes in these studies has been inconsistent, and reports of 14-3-3 gene expression in living schizophrenic patients are still lacking. Here, we assessed 14-3-3 gene and protein expression levels in peripheral blood leukocytes from drug-naïve first-episode schizophrenic patients and matched controls. mRNA and protein expression levels were quantified by qRT-PCR and UPLC-MRM/MS, respectively. Expression analysis revealed four downregulated and one upregulated mRNA transcripts as well as five downregulated protein levels of 14-3-3 isoforms in schizophrenia. Moreover, significant positive correlations between 14-3-3 mRNA and protein expression levels were found in schizophrenia, and we also identified negative correlations between ε, θ and ζ isoform expression levels and positive symptoms of schizophrenia. Our results suggest that gene and protein expression levels for the 14-3-3 family are dysregulated in schizophrenia, perhaps owing to specific regulatory mechanisms, and we also suggest that expression of the 14-3-3ε, θ and ζ isoform genes could be useful indicators of disease severity.

Indexed as

14-3-3 ProteinsAdultCase-Control StudiesFemaleGene Expression RegulationHumansLeukocytes, MononuclearMaleProtein IsoformsRNA, MessengerSchizophreniaSeverity of Illness IndexSignal Transduction14-3-3 ProteinsProtein IsoformsRNA, Messenger

Identifiers

PMID27030512
PMCPMC4814835
OpenAlexW2315011370

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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.