Evidence map›Paper›PMID 33644266›Full record

ArticleNeurobiology of stress2021

Molecular characterization of the stress network in individuals at risk for schizophrenia.

Mandy Meijer, Arlin Keo, Judith M C van Leeuwen, Oleh Dzyubachyk, Onno C Meijer, Christiaan H Vinkers, Ahmed Mahfouz

Open access · goldAbstract read
In one paragraph

Article in Neurobiology of stress, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 9 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

7 authors at 3 institutions in 2 countries.

Mandy MeijerLeiden Computational Biology Center, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.
Arlin KeoLeiden Computational Biology Center, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.
Judith M C van LeeuwenUniversity Medical Center Utrecht, Department of Psychiatry, Utrecht, the Netherlands.
Oleh DzyubachykDepartment of Radiology, Division of Medical Image Processing, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.
Onno C MeijerDepartment of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.
Christiaan H VinkersDepartment of Psychiatry, Amsterdam UMC (location VUmc)/GGZ InGeest, 1081 HV, Amsterdam, the Netherlands.
Ahmed MahfouzLeiden Computational Biology Center, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.
Leiden University Medical Center · NLRadboud University Nijmegen · NLAmsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological mechanisms underlying inter-individual differences in human stress reactivity remain poorly understood. We aimed to identify the molecular underpinning of aberrant neural stress sensitivity in individuals at risk for schizophrenia. Linking mRNA expression data from the Allen Human Brain Atlas to task-based fMRI revealed 201 differentially expressed genes in cortex-specific brain regions differentially activated by stress in individuals with low (healthy siblings of schizophrenia patients) or high (healthy controls) stress sensitivity. These genes are associated with stress-related psychiatric disorders (e.g. schizophrenia and anxiety) and include markers for specific neuronal populations (e.g.

Indexed as

Molecular correlatesStress networkStress reactivityStress-related diseasesStress sensitivity

Identifiers

PMID33644266
PMCPMC7893486
OpenAlexW3127617526

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.