Literature DB >> 12621306

Blood genomic expression profile for neuronal injury.

Yang Tang1, Alex C Nee, Aigang Lu, Ruiqiong Ran, Frank R Sharp.   

Abstract

This study determined whether stroke and other types of insults produced a gene expression profile in blood that correlated with the presence of neuronal injury. Adult rats were subjected to ischemic stroke, intracerebral hemorrhage, status epilepticus, and insulin-induced hypoglycemia and compared with untouched, sham surgery, and hypoxia animals that had no brain injury. One day later, microarray analyses showed that 117 genes were upregulated and 80 genes were downregulated in mononuclear blood cells of the "injury" (n = 12) compared with the "no injury" (n = 9) animals. A second experiment examined the whole blood genomic response of adult rats after global ischemia and kainate seizures. Animals with no brain injury were compared with those with brain injury documented by TUNEL and PANT staining. One day later, microarray analyses showed that 37 genes were upregulated and 67 genes were downregulated in whole blood of the injury (n = 4) animals compared with the no-injury (n = 4) animals. Quantitative reverse transcription-polymerase chain reaction confirmed that the vesicular monoamine transporter-2 increased 2.3- and 1.6-fold in animals with severe and mild brain injury, respectively, compared with no-injury animals. Vascular tyrosine phosphatase-1 increased 2.0-fold after severe injury compared with no injury. The data support the hypothesis that there is a peripheral blood genomic response to neuronal injury, and that this blood response is associated with a specific blood mRNA gene expression profile that can be used as a marker of the neuronal damage.

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Year:  2003        PMID: 12621306     DOI: 10.1097/01.WCB.0000048518.34839.DE

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  26 in total

1.  Mining microarrays for metabolic meaning: nutritional regulation of hypothalamic gene expression.

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Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

2.  MicroRNA and their target mRNAs change expression in whole blood of patients after intracerebral hemorrhage.

Authors:  Xiyuan Cheng; Bradley P Ander; Glen C Jickling; Xinhua Zhan; Heather Hull; Frank R Sharp; Boryana Stamova
Journal:  J Cereb Blood Flow Metab       Date:  2019-04-09       Impact factor: 6.200

3.  Utilization of lymphoblastoid cell lines as a system for the molecular modeling of autism.

Authors:  Colin A Baron; Stephenie Y Liu; Chindo Hicks; Jeffrey P Gregg
Journal:  J Autism Dev Disord       Date:  2006-11

4.  Genomic expression patterns in medication overuse headaches.

Authors:  Andrew D Hershey; Danny Burdine; Marielle A Kabbouche; Scott W Powers
Journal:  Cephalalgia       Date:  2010-06-02       Impact factor: 6.292

5.  Gene expression profiling differentiates autism case-controls and phenotypic variants of autism spectrum disorders: evidence for circadian rhythm dysfunction in severe autism.

Authors:  Valerie W Hu; Tewarit Sarachana; Kyung Soon Kim; AnhThu Nguyen; Shreya Kulkarni; Mara E Steinberg; Truong Luu; Yinglei Lai; Norman H Lee
Journal:  Autism Res       Date:  2009-04       Impact factor: 5.216

Review 6.  Hypoxic preconditioning protects against ischemic brain injury.

Authors:  Frank R Sharp; Ruiqiong Ran; Aigang Lu; Yang Tang; Kenneth I Strauss; Todd Glass; Tim Ardizzone; Myriam Bernaudin
Journal:  NeuroRx       Date:  2004-01

Review 7.  Blood biomarkers of ischemic stroke.

Authors:  Glen C Jickling; Frank R Sharp
Journal:  Neurotherapeutics       Date:  2011-07       Impact factor: 7.620

Review 8.  The transcriptome of cerebral ischemia.

Authors:  Reyna L VanGilder; Jason D Huber; Charles L Rosen; Taura L Barr
Journal:  Brain Res Bull       Date:  2012-02-21       Impact factor: 4.077

9.  Deciphering normal blood gene expression variation--The NOWAC postgenome study.

Authors:  Vanessa Dumeaux; Karina S Olsen; Gregory Nuel; Ruth H Paulssen; Anne-Lise Børresen-Dale; Eiliv Lund
Journal:  PLoS Genet       Date:  2010-03-12       Impact factor: 5.917

10.  Gene expression profiling of peripheral blood cells for early detection of breast cancer.

Authors:  Jørgen Aarøe; Torbjørn Lindahl; Vanessa Dumeaux; Solve Saebø; Derek Tobin; Nina Hagen; Per Skaane; Anders Lönneborg; Praveen Sharma; Anne-Lise Børresen-Dale
Journal:  Breast Cancer Res       Date:  2010-01-15       Impact factor: 6.466

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