Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses

Fu, Shijun; Zhao, Hulin; Shi, Jiantao; Abzhanov, Arhat; Crawford, Keith; Ohno-Machado, Lucila; Zhou, Jianqin; Du, Yanzhi; Kuo, Winston Patrick; Zhang, Ji; Jiang, Mier; Jin, Jiamin

doi:10.1186/1471-2164-9-369

Cited by 52 publications

(46 citation statements)

References 44 publications

(38 reference statements)

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“…10 The microarray analysis identified important up-and downregulated genes involved in the pathogenesis and progression of POAD. A selected panel of 10 relevant genes in POAD Adding to the study by Fu et al, 8 which pointed out important inflammatory genes that can serve as signatures for disease progression in POAD, our study revealed another set of biomarkers involved in the onset and progression of POAD.…”

Section: Discussionmentioning

confidence: 94%

“…6 Investigators have argued that a broad alteration of endothelial function may be a critical mechanism that links systemic inflammation to atherosclerosis. 7 Fu et al 8 found a significant correlation between inflammatory response and disease progression. By microarray analysis they identified upregulated inflammatory genes in intermediate and advanced stages of peripheral arterial disease.…”

Section: Résumémentioning

confidence: 98%

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Assessment of Gene Expression Profiles in Peripheral Occlusive Arterial Disease

Bubenek

Năstase²,

Niculescu³

et al. 2012

Canadian Journal of Cardiology

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Section: Discussionmentioning

confidence: 94%

Section: Résumémentioning

confidence: 98%

Assessment of Gene Expression Profiles in Peripheral Occlusive Arterial Disease

Bubenek

Năstase²,

Niculescu³

et al. 2012

Canadian Journal of Cardiology

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“…[16] although the number of genes measured in these studies ranged from 205 to 47,000. Fifteen of the nineteen consensus genes were represented in the gene list from the non-human primate model [17] and ten differentially expressed genes were found in the list from human femoral artery [14]. The remaining publications each contained five or fewer genes from the consensus list.…”

Section: Resultsmentioning

confidence: 99%

Compilation and Analysis of Atherosclerosis Gene Expression Data

Booze¹,

Eyster²

2015

ABC

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The objective of this project was to search for consensus in differential gene expression data and in regulation of differentially expressed genes among DNA microarray studies of atherosclerotic vessels and plaque. Seventeen DNA microarray studies of atherosclerosis were analyzed. Only 19 genes were found to be differentially expressed in 3 or more of the studies. The nineteen genes belong to classic gene ontologies known to be involved in atherosclerosis: immunity and defense, metabolism, proteases, receptors, and signal transduction. Four bioinformatics programs (TRED, rVISTA, JASPAR, and Ariadne Pathways) were used to further analyze the promoter regions and common upstream regulators of the 19 genes. Twelve of the genes shared nine common upstream regulators, many of them known to affect atherosclerosis, and one possible new pathway was identified that may be involved in this disease.

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“…Surprisingly, many of the differentially regulated genes in this study have not been reported to be related to atherosclerosis before. 77 A similar approach was used by Evans et al, who classified 335 genes as differentially regulated between normal and diseased arteries. Moreover, they were able to acknowledge a gene expression signature for PAD and an associated diabetic phenotype in PAD.…”

Section: Transcriptomicsmentioning

confidence: 99%

The Use of High-Throughput Technologies to Investigate Vascular Inflammation and Atherosclerosis

Döring¹,

Noels

Weber

2012

ATVB

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Abstract-The greatest challenge of scientific research is to understand the causes and consequences of disease. In recent years, great efforts have been devoted to unraveling the basic mechanisms of atherosclerosis (the underlying pathology of cardiovascular disease), which remains a major cause of morbidity and mortality worldwide. Because of the complex and multifactorial pathophysiology of cardiovascular disease, different research techniques have increasingly been combined to unravel genetic aspects, molecular pathways, and cellular functions involved in atherogenesis, vascular inflammation, and dyslipidemia to gain a multifaceted picture addressing this complexity. Thanks to the rapid evolution of high-throughput technologies, we are now able to generate large-scale data on the DNA, RNA, and protein levels. With the help of sophisticated computational tools, these data sets are integrated to enhance information extraction and are being increasingly used in a systems biology approach to model biological processes as interconnected and regulated networks. This review exemplifies the use of high-throughput technologies-such as genomics, transcriptomics, proteomics, and epigenomics-and systems biology to explore pathomechanisms of vascular inflammation and atherosclerosis. (Arterioscler Thromb Vasc Biol. 2012;32:182-195.)

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Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses

Cited by 52 publications

References 44 publications

Assessment of Gene Expression Profiles in Peripheral Occlusive Arterial Disease

Assessment of Gene Expression Profiles in Peripheral Occlusive Arterial Disease

Compilation and Analysis of Atherosclerosis Gene Expression Data

The Use of High-Throughput Technologies to Investigate Vascular Inflammation and Atherosclerosis

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