Evidence map›Paper›PMID 30944317›Full record

ArticleTranslational psychiatry2019

Co-expression network modeling identifies key long non-coding RNA and mRNA modules in altering molecular phenotype to develop stress-induced depression in rats.

Qingzhong Wang, Bhaskar Roy, Yogesh Dwivedi

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
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  17. Weighted gene co-expression network analysis identifiesAnnals of translational medicine · 2020
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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

3 authors at 1 institution in 1 country.

Qingzhong WangDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, 35294, USA.
Bhaskar RoyDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, 35294, USA.
Yogesh DwivediDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, 35294, USA. ydwivedi@uab.edu.
University of Alabama at Birmingham · US

Funding

Plasma Exosomal MicroRNAs as Promising Novel Biomarkers for Suicidality and Treatment OutcomeR01MH107183 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH, SHELTON, RICHARD CHARLES · 2015 to 2019
$3.5M
MicroRNA Mapping in Major DepressionR01MH100616 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH · 2014 to 2019
$1.8M
Perturbed cell signaling network and suicide neurobiologyR01MH101890 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH · 2013 to 2017
$1.6M
Calcium Sensing Proteins in DepressionR01MH082802 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DWIVEDI, YOGESH · 2009 to 2013
$1.4M
NIMH NIH HHS R01 MH082802NIMH NIH HHS R01 MH100616NIMH NIH HHS R01 MH101890NIMH NIH HHS R01 MH107183
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have recently emerged as one of the critical epigenetic controllers, which participate in several biological functions by regulating gene transcription, mRNA splicing, protein interaction, etc. In a previous study, we reported that lncRNAs may play a role in developing depression pathophysiology. In the present study, we have examined how lncRNAs are co-expressed with gene transcripts and whether specific lncRNA/mRNA modules are associated with stress vulnerability or resiliency to develop depression. Differential regulation of lncRNAs and coding RNAs were determined in hippocampi of three group of rats comprising learned helplessness (LH, depression vulnerable), non-learned helplessness (NLH, depression resilient), and tested controls (TC) using a single-microarray-based platform. Weighted gene co-expression network analysis (WGCNA) was conducted to correlate the expression status of protein-coding transcripts with lncRNAs. The associated co-expression modules, hub genes, and biological functions were analyzed. We found signature co-expression networks as well as modules that underlie normal as well as aberrant response to stress. We also identified specific hub and driver genes associated with vulnerability and resilience to develop depression. Altogether, our study provides evidence that lncRNA associated complex trait-specific networks may play a crucial role in developing depression.

Indexed as

Gene Regulatory NetworksHelplessness, LearnedAnimalsDepressionGene Expression ProfilingMaleRatsRats, Sprague-DawleyRNA, Long NoncodingRNA, MessengerStress, PsychologicalRNA, Long NoncodingRNA, Messenger

Identifiers

PMID30944317
PMCPMC6447569
OpenAlexW2931181194

What OpenQuestion holds

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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.