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Identification of Possible Potential Protein Biomarkers for Stroke Using Different Chromatographic and Mass Spectrometric Methods

Kodali, Phanichand, Ph.D.
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368013895

Abstract Details

2013, PhD, University of Cincinnati, Arts and Sciences: Chemistry.
Stroke is the 3rd leading cause of disability and death in the USA, accounting for about $74 billion in costs in 2010. Ischemic stroke, which accounts for ~85% of all strokes, is mainly caused by either intracranial thrombosis or extracranial embolism; hemorrhagic stroke can be classified as either intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH). Well-recognized environmental risk factors for stroke include hypertension, smoking, diabetes mellitus, atrial fibrillation and atherosclerosis. A simple and low-cost, rapid blood test to confirm a clinical and imaging diagnosis of ischemic stroke would be extremely useful because Computed Tomography (CT) scanning is used to diagnose hemorrhagic stroke, but is relatively ineffective and may provide little information for patients with mild ischemic strokes. Magnetic Resonance Imaging (MRI) is more sensitive in detecting ischemia than CT, especially in the diagnosis of mild stroke but it's still not 100% sensitive or precise. Different analytical separation techniques have been used in search of these candidate biomarkers, to screen for major differences in the proteomes for patient plasma samples and would be applicable to a statistically viable sample set to provide candidate biomarkers for distinguishing stroke types. Three dimensional chromatographic separations such as affinity, size-exclusion and reverse phased chromatographies were employed for plasma samples in order to reduce the complexity of the sample coupled with nanoESI-ion trap detection for identification of proteins. In another study, metalloproteins and metals play key roles in epigenetic events in living organisms, including hypertension, the most important modifiable risk factor for stroke. Thus, metalloproteins may be important target biomarkers for disease diagnosis. The primary goal of this study was to assess metal containing proteins in blood plasma, detected by ICP-MS, followed by ESIMS for peptide/protein identification.
Joseph Caruso, Ph.D. (Committee Chair)
Thomas Beck, Ph.D. (Committee Member)
Thomas Ridgway, Ph.D. (Committee Member)
149 p.
Analytical Chemistry
Biomarkers; Chromatography; Mass spectrometry; Blood Plasma; Metalloproteins; HPLC;

Recommended Citations

Citations

  • Kodali, P. (2013). Identification of Possible Potential Protein Biomarkers for Stroke Using Different Chromatographic and Mass Spectrometric Methods [Doctoral dissertation, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368013895

    APA Style (7th edition)

  • Kodali, Phanichand. Identification of Possible Potential Protein Biomarkers for Stroke Using Different Chromatographic and Mass Spectrometric Methods. 2013. University of Cincinnati, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368013895.

    MLA Style (8th edition)

  • Kodali, Phanichand. "Identification of Possible Potential Protein Biomarkers for Stroke Using Different Chromatographic and Mass Spectrometric Methods." Doctoral dissertation, University of Cincinnati, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1368013895

    Chicago Manual of Style (17th edition)

ucin1368013895
636
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This open access ETD is published by University of Cincinnati and OhioLINK.