Evidence map›Paper›PMID 26959683›Full record

ArticlePloS one2016

Microglia Transcriptome Changes in a Model of Depressive Behavior after Immune Challenge.

Dianelys Gonzalez-Pena, Scott E Nixon, Jason C O'Connor, Bruce R Southey, Marcus A Lawson, Robert H McCusker, Tania Borras, Debbie Machuca, Alvaro G Hernandez, Robert Dantzer and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

33 citing papers in PubMed, 43 citations in OpenAlex.

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  19. Neuropsychopharmacology of JNJ-55308942: evaluation of a clinical candidate targeting P2X7 ion channels in animal models of neuroinflammation and anhedonia.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
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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

12 authors at 3 institutions in 1 country.

Dianelys Gonzalez-PenaDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Scott E NixonIllinois Informatics Institute, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Jason C O'ConnorDepartment of Pharmacology, University of Texas Health Science Center at San Antonio, San Antonio, TX, United States of America.
Bruce R SoutheyDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Marcus A LawsonDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Robert H McCuskerDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Tania BorrasDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Debbie MachucaDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Alvaro G HernandezHigh-Throughput Sequencing and Genotyping Unit, Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Champaign, IL, United States of America.
Robert DantzerDepartment of Symptom Research, University of Texas M. D. Anderson Cancer Center, Houston, TX, United States of America.
Keith W KelleyDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
Sandra L Rodriguez-ZasDepartment of Animal Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
University of Illinois Urbana-Champaign · USThe University of Texas Health Science Center at San Antonio · USThe University of Texas MD Anderson Cancer Center · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
Neuroimmune Mechanisms of Recovery from Comorbid Depression and Chronic PainR01NS073939 · NINDS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DANTZER, ROBERT, HEIJNEN, COBI J · 2011 to 2020
$4.0M
Neuroimmunology and Behavior: Natural Antagonism of Sickness and DepressionR01MH083767 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCCUSKER, ROBERT H. · 2009 to 2013
$2.0M
Biobehavioral Role of Brain Kynurenine Metabolism in Mental IllnessR01MH090127 · NIMH · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI O'CONNOR, JASON C · 2010 to 2014
$1.8M
Central Motivation of Depression; An Expanded Kynurenine TheoryR01MH101145 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCCUSKER, ROBERT H. · 2014 to 2016
$1.5M
Inflammation-Induced Behavioral Alterations: A Psychogenomic ApproachR21MH096030 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RODRIGUEZ ZAS, SANDRA L · 2012 to 2013
$430k
NIDA NIH HHS 5P30DA018310NIDA NIH HHS P30 DA018310NIMH NIH HHS R01 MH083767NIMH NIH HHS R01 MH 090127NIMH NIH HHS R01 MH090127NIMH NIH HHS R01 MH101145NIMH NIH HHS R21 MH 096030NIMH NIH HHS R21 MH096030NINDS NIH HHS R01 NS073939PHS HHS R01 SUB UT 00000712
6 · The paper itself

Abstract

Depression symptoms following immune response to a challenge have been reported after the recovery from sickness. A RNA-Seq study of the dysregulation of the microglia transcriptome in a model of inflammation-associated depressive behavior was undertaken. The transcriptome of microglia from mice at day 7 after Bacille Calmette Guérin (BCG) challenge was compared to that from unchallenged Control mice and to the transcriptome from peripheral macrophages from the same mice. Among the 562 and 3,851 genes differentially expressed between BCG-challenged and Control mice in microglia and macrophages respectively, 353 genes overlapped between these cells types. Among the most differentially expressed genes in the microglia, serum amyloid A3 (Saa3) and cell adhesion molecule 3 (Cadm3) were over-expressed and coiled-coil domain containing 162 (Ccdc162) and titin-cap (Tcap) were under-expressed in BCG-challenged relative to Control. Many of the differentially expressed genes between BCG-challenged and Control mice were associated with neurological disorders encompassing depression symptoms. Across cell types, S100 calcium binding protein A9 (S100A9), interleukin 1 beta (Il1b) and kynurenine 3-monooxygenase (Kmo) were differentially expressed between challenged and control mice. Immune response, chemotaxis, and chemokine activity were among the functional categories enriched by the differentially expressed genes. Functional categories enriched among the 9,117 genes differentially expressed between cell types included leukocyte regulation and activation, chemokine and cytokine activities, MAP kinase activity, and apoptosis. More than 200 genes exhibited alternative splicing events between cell types including WNK lysine deficient protein kinase 1 (Wnk1) and microtubule-actin crosslinking factor 1(Macf1). Network visualization revealed the capability of microglia to exhibit transcriptome dysregulation in response to immune challenge still after resolution of sickness symptoms, albeit lower than that observed in macrophages. The persistent transcriptome dysregulation in the microglia shared patterns with neurological disorders indicating that the associated persistent depressive symptoms share a common transcriptome basis.

Indexed as

Alternative SplicingAnimalsBCG VaccineBehavior, AnimalDepressionDisease Models, AnimalGene Expression ProfilingGene OntologyGene Regulatory NetworksMacrophagesMaleMice, Inbred C57BLMicrogliaProtein IsoformsRNA, MessengerSoftwareBCG VaccineProtein IsoformsRNA, Messenger

Identifiers

PMID26959683
PMCPMC4784788
OpenAlexW2296257830

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.