Evidence map›Paper›PMID 23707588›Full record

ArticleNeuroImage2013

Transcriptomics of cortical gray matter thickness decline during normal aging.

P Kochunov, J Charlesworth, A Winkler, L E Hong, T E Nichols, J E Curran, E Sprooten, N Jahanshad, P M Thompson, M P Johnson and 12 more

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  8. The RNA world of human ageing.Human genetics · 2018
    Review
  9. Article
  10. Article
  11. Review
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

22 authors at 8 institutions in 3 countries.

P KochunovMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, USA. pkochunov@mprc.umaryland.edu
J Charlesworth
A Winkler
L E Hong
T E Nichols
J E Curran
E Sprooten
N Jahanshad
P M Thompson
M P Johnson
J W Kent
B A Landman
B Mitchell
S A Cole
T D Dyer
E K Moses
H H H Goring
L Almasy
R Duggirala
R L Olvera
D C Glahn
J Blangero
Texas Biomedical Research Institute · USUniversity of Maryland, Baltimore · USUniversity of California, Los Angeles · USUniversity of Warwick · GBHartford Financial Services (United States)The University of Texas Health Science Center at San Antonio · USVanderbilt University · USYale University · US

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ALMASY, LAURA A. · 1991 to 2012
$27.6M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
COMBINING NEUROIMAGING AND GENETICS FOR HERITABILITY MEASUREMENTSK01EB006395 · NIBIB · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KOCHUNOV, PETER V. · 2007 to 2011
$733k
NCRR NIH HHS S10 RR029392NHLBI NIH HHS P01 HL045522NHLBI NIH HHS P01HL045522NIBIB NIH HHS EB006395NIBIB NIH HHS EB015611NIBIB NIH HHS K01 EB006395NIBIB NIH HHS R01 EB015611NIMH NIH HHS R01MH0708143NIMH NIH HHS R01 MH078111NIMH NIH HHS R01MH078111NIMH NIH HHS R01 MH083824NIMH NIH HHS R01MH083824NIMH NIH HHS R37 MH059490NIMH NIH HHS R37MH059490
6 · The paper itself

Abstract

introductionWe performed a whole-transcriptome correlation analysis, followed by the pathway enrichment and testing of innate immune response pathway analyses to evaluate the hypothesis that transcriptional activity can predict cortical gray matter thickness (GMT) variability during normal cerebral aging.

methodsTranscriptome and GMT data were available for 379 individuals (age range=28-85) community-dwelling members of large extended Mexican American families. Collection of transcriptome data preceded that of neuroimaging data by 17 years. Genome-wide gene transcriptome data consisted of 20,413 heritable lymphocytes-based transcripts. GMT measurements were performed from high-resolution (isotropic 800 μm) T1-weighted MRI. Transcriptome-wide and pathway enrichment analysis was used to classify genes correlated with GMT. Transcripts for sixty genes from seven innate immune pathways were tested as specific predictors of GMT variability.

resultsTranscripts for eight genes (IGFBP3, LRRN3, CRIP2, SCD, IDS, TCF4, GATA3, and HN1) passed the transcriptome-wide significance threshold. Four orthogonal factors extracted from this set predicted 31.9% of the variability in the whole-brain and between 23.4 and 35% of regional GMT measurements. Pathway enrichment analysis identified six functional categories including cellular proliferation, aggregation, differentiation, viral infection, and metabolism. The integrin signaling pathway was significantly (p<10(-6)) enriched with GMT. Finally, three innate immune pathways (complement signaling, toll-receptors and scavenger and immunoglobulins) were significantly associated with GMT.

conclusionExpression activity for the genes that regulate cellular proliferation, adhesion, differentiation and inflammation can explain a significant proportion of individual variability in cortical GMT. Our findings suggest that normal cerebral aging is the product of a progressive decline in regenerative capacity and increased neuroinflammation.

Indexed as

TranscriptomeAdultAgedAged, 80 and overAgingCerebral CortexGene Expression ProfilingHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMiddle Aged

Identifiers

PMID23707588
PMCPMC3759649
OpenAlexW2072615318

What Socratic holds

Textmetadata
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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 Socratic graph.