Literature DB >> 21356094

Time course analysis of gene expression identifies multiple genes with differential expression in patients with in-stent restenosis.

Santhi K Ganesh1, Jungnam Joo, Kimberly Skelding, Laxmi Mehta, Gang Zheng, Kathleen O'Neill, Eric M Billings, Anna Helgadottir, Karl Andersen, Gudmundur Thorgeirsson, Thorarinn Gudnason, Nancy L Geller, Robert D Simari, David R Holmes, William W O'Neill, Elizabeth G Nabel.   

Abstract

BACKGROUND: The vascular disease in-stent restenosis (ISR) is characterized by formation of neointima and adverse inward remodeling of the artery after injury by coronary stent implantation. We hypothesized that the analysis of gene expression in peripheral blood mononuclear cells (PBMCs) would demonstrate differences in transcript expression between individuals who develop ISR and those who do not. METHODS AND
RESULTS: We determined and investigated PBMC gene expression of 358 patients undergoing an index procedure to treat in de novo coronary artery lesions with bare metallic stents, using a novel time-varying intercept model to optimally assess the time course of gene expression across a time course of blood samples. Validation analyses were conducted in an independent sample of 97 patients with similar time-course blood sampling and gene expression data. We identified 47 probesets with differential expression, of which 36 were validated upon independent replication testing. The genes identified have varied functions, including some related to cellular growth and metabolism, such as the NAB2 and LAMP genes.
CONCLUSIONS: In a study of patients undergoing bare metallic stent implantation, we have identified and replicated differential gene expression in peripheral blood mononuclear cells, studied across a time series of blood samples. The genes identified suggest alterations in cellular growth and metabolism pathways, and these results provide the basis for further specific functional hypothesis generation and testing of the mechanisms of ISR.

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Year:  2011        PMID: 21356094      PMCID: PMC3053213          DOI: 10.1186/1755-8794-4-20

Source DB:  PubMed          Journal:  BMC Med Genomics        ISSN: 1755-8794            Impact factor:   3.063


  51 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  Gene expression profiling of human stent-induced neointima by cDNA array analysis of microscopic specimens retrieved by helix cutter atherectomy: Detection of FK506-binding protein 12 upregulation.

Authors:  D Zohlnhöfer; C A Klein; T Richter; R Brandl; A Murr; T Nührenberg; A Schömig; P A Baeuerle; F J Neumann
Journal:  Circulation       Date:  2001-03-13       Impact factor: 29.690

3.  Human orthologs of yeast vacuolar protein sorting proteins Vps26, 29, and 35: assembly into multimeric complexes.

Authors:  C R Haft; M de la Luz Sierra; R Bafford; M A Lesniak; V A Barr; S I Taylor
Journal:  Mol Biol Cell       Date:  2000-12       Impact factor: 4.138

4.  New DNA enzyme targeting Egr-1 mRNA inhibits vascular smooth muscle proliferation and regrowth after injury.

Authors:  F S Santiago; H C Lowe; M M Kavurma; C N Chesterman; A Baker; D G Atkins; L M Khachigian
Journal:  Nat Med       Date:  1999-11       Impact factor: 53.440

5.  TNFalpha induces expression of transcription factors c-fos, Egr-1, and Ets-1 in vascular lesions through extracellular signal-regulated kinases 1/2.

Authors:  S Goetze; U Kintscher; K Kaneshiro; W P Meehan; A Collins; E Fleck; W A Hsueh; R E Law
Journal:  Atherosclerosis       Date:  2001-11       Impact factor: 5.162

6.  High-level expression of Egr-1 and Egr-1-inducible genes in mouse and human atherosclerosis.

Authors:  T A McCaffrey; C Fu; B Du; S Eksinar; K C Kent; H Bush; K Kreiger; T Rosengart; M I Cybulsky; E S Silverman; T Collins
Journal:  J Clin Invest       Date:  2000-03       Impact factor: 14.808

7.  Diagnosis of multiple cancer types by shrunken centroids of gene expression.

Authors:  Robert Tibshirani; Trevor Hastie; Balasubramanian Narasimhan; Gilbert Chu
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

8.  Transcriptome analysis reveals a role of interferon-gamma in human neointima formation.

Authors:  D Zohlnhöfer; T Richter; F Neumann; T Nührenberg; R Wessely; R Brandl; A Murr; C A Klein; P A Baeuerle
Journal:  Mol Cell       Date:  2001-05       Impact factor: 17.970

9.  C-reactive protein induces apoptosis in human coronary vascular smooth muscle cells.

Authors:  Florian Blaschke; Dennis Bruemmer; Fen Yin; Yasunori Takata; Wei Wang; Michael C Fishbein; Takafumi Okura; Jitsuo Higaki; Kristof Graf; Eckart Fleck; Willa A Hsueh; Ronald E Law
Journal:  Circulation       Date:  2004-07-26       Impact factor: 29.690

Review 10.  Inflammation in atherosclerosis.

Authors:  Peter Libby
Journal:  Nature       Date:  2002 Dec 19-26       Impact factor: 49.962

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  3 in total

1.  Detecting cognizable trends of gene expression in a time series RNA-sequencing experiment: a bootstrap approach.

Authors:  Shatakshee Chatterjee; Partha P Majumder; Priyanka Pandey
Journal:  J Genet       Date:  2016-09       Impact factor: 1.166

2.  Systemic inflammation as a predictor of clinical outcomes after lower extremity angioplasty/stenting.

Authors:  Kenneth DeSart; Kerri O'Malley; Bradley Schmit; Maria-Cecilia Lopez; Lyle Moldawer; Henry Baker; Scott Berceli; Peter Nelson
Journal:  J Vasc Surg       Date:  2015-06-06       Impact factor: 4.268

3.  Identification of potential new treatment response markers and therapeutic targets using a Gaussian process-based method in lapatinib insensitive breast cancer models.

Authors:  Tapesh Santra; Sandra Roche; Neil Conlon; Norma O'Donovan; John Crown; Robert O'Connor; Walter Kolch
Journal:  PLoS One       Date:  2017-05-08       Impact factor: 3.240

  3 in total

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