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Biology subjects

Westwood, B. M.

Publications and source records attributed to Westwood, B. M..

3 recordsLinked to original sources

NEST-Scoring, a Novel miRNA Target Gene Profile Network Analysis of Placenta-Derived Extracellular Vesicles in a Transgenic Rat Model of Preeclampsia

Preeclampsia is a multisystem hypertensive disorder of pregnancy and a leading cause of maternal morbidity and mortality. Despite its increasing incidence and the debilitating nature of its cerebrovascular complications, the underlying mechanisms remain incompletely understood. The goals of this study were to 1) determine whether middle cerebral artery (MCA) hemodynamics are altered in late gestation (LG) or two months postpartum in transgenic rats with preeclampsia compared to normal pregnant Sprague-Dawley (SD) rats, and 2) evaluate the microRNA (miRNA) profiles of circulating placental-derived extracellular vesicles (EVPD) using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway framework using NEST-Scoring [Node, Edge, System, Topology], a novel target gene profile network analysis. Our data showed elevated blood pressure in transgenic preeclampsia rats at both LG and two months post-partum (PP-2M) compared to normal pregnant SD rats in the setting of hypertension. The heart rate was also significantly higher in preeclampsia rats at LG. No differences were observed in left MCA (LMCA) velocities between strains or time points. However, LMCA resistance and pulsatility indexes were lower at PP-2M in transgenic preeclampsia rats compared to SD rats. Exposure to preeclampsia differentially altered the miRNA profiles of circulating EVPD in transgenic preeclampsia rats at both LG and PP-2M. The identified miRNA targets were associated with key vascular and cellular regulatory pathways, suggesting a mechanistic link between placental dysfunction and postpartum vascular alterations in this preeclampsia model. Overall, this study suggests that the TGA-PE rat model could be a valuable platform to study the mechanistic link between preeclampsia and cerebrovascular disease.

bioinformatics↗

ANGIOTENSIN CONVERTING ENZYME HUB CAPACITY - A SIMPLE MODEL OF RELATING PEPTIDE FLUX AND RENIN INFLUENCE

Utilizing data from the Vitamin C, Thiamine, and Steroids in Sepsis (VICTAS) Trial, this hub model was developed to limit seventeen Renin-Angiotensin-Aldosterone System (RAAS) components as three entrance and four exits, to facilitate the calculation of a model as one egress unknown, the angiotensin type 1 (AT1) receptor. Following previous evidence relating renin levels to mortality, this study found controls were more like sepsis patients with levels < renin quartile 1 (Q1) for calculated AT1, while more like sepsis patients with renin levels > quartile 3 (Q4) for measured aldosterone levels. Additionally differential discrete correlate summation (DCS) analysis indicates AT1, aldosterone and renin as major hub nodes in this independent DCS model of metabolic data inputs.

systems biology↗

Discrete Correlate Summation Clustering of a Dopamine-Angiotensin Network

We present a model of directed investigation of KEGG pathway analysis, beginning with discrete correlate summation (DCS) clustering of Swiss-Prot sets. Dopamine and angiotensin related proteins define the boundary for pathway analyses upon a network of proteins also associated with a compositely defined matrix of Swiss-Prot keywords to provide a framework for their biological indices (Figure 1). O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=62 SRC="FIGDIR/small/600163v2_fig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1d94295org.highwire.dtl.DTLVardef@a285c6org.highwire.dtl.DTLVardef@1fc92b2org.highwire.dtl.DTLVardef@102f37f_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO Graphical abstract C_FIG

bioinformatics↗