Evidence map›Paper›PMID 20966416›Full record

ArticleStroke2010

Distinctive RNA expression profiles in blood associated with white matter hyperintensities in brain.

Huichun Xu, Boryana Stamova, Glen Jickling, Yingfang Tian, Xinhua Zhan, Bradley P Ander, Dazhi Liu, Renée Turner, Jonathan Rosand, Larry B Goldstein and 5 more

Abstract read
In one paragraph

Article in Stroke, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Neurobiological Mechanisms of Cognitive Decline Correlated with Brain Aging.Advances in experimental medicine and biology · 2023
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Functions of p38 MAP Kinases in the Central Nervous System.Frontiers in molecular neuroscience · 2020
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Prevention and Management of Cerebral Small Vessel Disease.Journal of stroke · 2015 · on this map
    Review
  19. Article
  20. 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

15 authors.

Huichun XuDepartment of Neurology and M.I.N.D. Institute, University of California at Davis, Sacramento, CA 95817, USA. huixu@ucdavis.edu
Boryana Stamova
Glen Jickling
Yingfang Tian
Xinhua Zhan
Bradley P Ander
Dazhi Liu
Renée Turner
Jonathan Rosand
Larry B Goldstein
Karen L Furie
Piero Verro
S Claiborne Johnston
Frank R Sharp
Charles S Decarli

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Heterogeneity of Mild Cognitive Impairment(MCI)R01AG021028 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 2003 to 2014
$4.6M
NRF2 Anti-Oxidant Systems and White Matter HyperintensitiesR01AG042292 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES, SHARP, FRANK R · 2013 to 2017
$3.0M
Ischemic Stroke and Intracerebral Hemorrhage Genomic Studies in HumansR01NS056302 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SHARP, FRANK R · 2007 to 2011
$3.0M
Whole Genome RNA Sequencing (RNAseq) of Blood from Patients with Lacunar StrokeR01NS101718 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SHARP, FRANK R, STAMOVA, BORYANA · 2017 to 2021
$3.0M
NCRR NIH HHS UL1 RR024131NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG10129NIA NIH HHS R01 AG021028NIA NIH HHS R01 AG042292NINDS NIH HHS R01 NS056302NINDS NIH HHS R01 NS101718
6 · The paper itself

Abstract

background and purposeWhite matter hyperintensities (WMH) are areas of high signal detected by T2 and fluid-attenuated inversion recovery sequences on brain MRI. Although associated with aging, cerebrovascular risk factors, and cognitive impairment, the pathogenesis of WMH remains unclear. Thus, RNA expression was assessed in the blood of individuals with and without extensive WMH to search for evidence of oxidative stress, inflammation, and other abnormalities described in WMH lesions in brain.

methodsSubjects included 20 with extensive WMH (WMH+), 45% of whom had Alzheimer disease, and 18 with minimal WMH (WMH-), 44% of whom had Alzheimer disease. All subjects were clinically evaluated and underwent quantitative MRI. Total RNA from whole blood was processed on human whole genome Affymetrix HU133 Plus 2.0 microarrays. RNA expression was analyzed using an analysis of covariance.

resultsTwo hundred forty-one genes were differentially regulated at ± 1.2-fold difference (P < 0.005) in subjects with WMH+ as compared to WMH-, regardless of cognitive status and 50 genes were differentially regulated with ± 1.5-fold difference (P < 0.005). Cluster and principal components analyses showed that the expression profiles for these genes distinguished WMH+ from WMH- subjects. Function analyses suggested that WMH-specific genes were associated with oxidative stress, inflammation, detoxification, and hormone signaling, and included genes associated with oligodendrocyte proliferation, axon repair, long-term potentiation, and neurotransmission.

conclusionsThe unique RNA expression profile in blood associated with WMH is consistent with roles of systemic oxidative stress and inflammation, as well as other potential processes in the pathogenesis or consequences of WMH.

Indexed as

AgedAlzheimer DiseaseBrainCluster AnalysisFemaleHormonesHumansInflammationMagnetic Resonance ImagingMaleMicroarray AnalysisOxidative StressPrincipal Component AnalysisRNASignal TransductionHormonesRNA

Identifiers

PMID20966416
PMCPMC3694808

What OpenQuestion holds

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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.