Showing papers by "Gayle M. Gordillo published in 2007"

Transcriptome-wide analysis of blood vessels laser captured from human skin and chronic wound-edge tissue

Abstract: Chronic wounds represent a substantial public health problem. The development of tools that would enable sophisticated scrutiny of clinical wound tissue material is highly desirable. This work presents evidence enabling rapid specific identification and laser capture of blood vessels from human tissue in a manner which lends itself to successful high-density (U133A) microarray analysis. Such screening of transcriptome followed by real-time PCR and immunohistochemical verification of candidate genes and their corresponding products were performed by using 3 mm biopsies. Of the 18,400 transcripts and variants screened, a focused set of 53 up-regulated and 24 down-regulated genes were noted in wound-derived blood vessels compared with blood vessels from intact human skin. The mean abundance of periostin in wound-site blood vessels was 96-fold higher. Periostin is known to be induced in response to vascular injury and its expression is associated with smooth muscle cell differentiation in vitro and promotes cell migration. Forty-fold higher expression of heparan sulfate 6-O-endosulfatase1 (Sulf1) was noted in wound-site vessels. Sulf1 has been recently recognized to be anti-angiogenic. During embryonic vasculogenesis, CD24 expression is down-regulated in human embryonic stem cells. Wound-site vessels had lower CD24 expression. The findings of this work provide a unique opportunity to appreciate the striking contrast in the transcriptome composition in blood vessels collected from the intact skin and from the wound-edge tissue. Sets of genes with known vascular functions but never connected to wound healing were identified to be differentially expressed in wound-derived blood vessels paving the way for innovative clinically relevant hypotheses.

Leveraging an information warehouse to create translational research environment for wound care center.

Abstract: In order to discover new biomarkers and therapeutic agents for personalized wound care, a vast amount of clinical information is collected and stored at The Ohio State University Medical Center (OSUMC) Comprehensive Wound Center (CWC). The Information Warehouse (IW) group at OSUMC has developed and implemented a comprehensive data collection network and analysis pipeline to support clinical, translational and outcomes research, and cost analyses that can be converted into clinical best practices for wound care.