A Promising Approach to Integrally Evaluate the Disease Outcome of Cerebral Ischemic Rats Based on Multiple-Biomarker Crosstalk. (25th May 2017)

• Record Type: Journal Article
• Authors: Ran, Guimei; Wang, Yixuan; Liu, Haochen; Wei, Chunxiang; Zhu, Tao; Wang, Haidong; He, Hua; Liu, Xiaoquan
• Other Names: Sobrino Tomás Academic Editor.
• Is Part Of: Disease markers. Volume 2017(2017)
• Publication Date: 2017-05-25
• Subjects: Diagnosis -- Periodicals; Biochemical markers -- Periodicals; Pathology -- Periodicals; 616
• DOI: 10.1155/2017/9506527
• Languages: English
• ISSNs: 0278-0240

Abstract

Abstract : Purpose . The study was designed to evaluate the disease outcome based on multiple biomarkers related to cerebral ischemia. Methods . Rats were randomly divided into sham, permanent middle cerebral artery occlusion, and edaravone-treated groups. Cerebral ischemia was induced by permanent middle cerebral artery occlusion surgery in rats. To form a simplified crosstalk network, the related multiple biomarkers were chosen as S100 β, HIF-1 α, IL-1 β, PGI2, TXA2, and GSH-Px. The levels or activities of these biomarkers in plasma were detected before and after ischemia. Concurrently, neurological deficit scores and cerebral infarct volumes were assessed. Based on a mathematic model, network balance maps and three integral disruption parameters ( k, φ, and u ) of the simplified crosstalk network were achieved. Results . The levels or activities of the related biomarkers and neurological deficit scores were significantly impacted by cerebral ischemia. The balance maps intuitively displayed the network disruption, and the integral disruption parameters quantitatively depicted the disruption state of the simplified network after cerebral ischemia. The integral disruption parameter u values correlated significantly with neurological deficit scores and infarct volumes. Conclusion . Our results indicate that the approach based on crosstalk network may provide a new promising way to integrally evaluate the outcome of cerebral ischemia.