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Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Acute Kidney Rejection (1)
- Biomarker (1)
- Brain Connectivity (1)
- Brain Injury (1)
- Brain physics, cerebrospinal fluid dynamics, hydrocephalus, mathematical modeling in neurosciences, stochastic differential equations, stochastic optimal control (1)
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- Concussion (1)
- Connectivity domain (1)
- Diffusion MRI (1)
- Endothelial dysfunction (1)
- HMVEC (1)
- HUVEC (1)
- Head Kinematics (1)
- Hyperglycemia (1)
- Injury Predictor (1)
- Kidney Transplantation (1)
- Microvascular dysfunction (1)
- Noninvasive Detection (1)
- Oxidative stress (1)
- Raman Spectroscopy (1)
- Renal Allograft Rejection (1)
- Resting-State fMRI (1)
- Systems biology (1)
- T Cell Activation (1)
- Traumatic Axonal Injury (1)
- Traumatic Brain Injury (1)
- Vascular metabolic memory (1)
- Publication
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Articles 1 - 6 of 6
Full-Text Articles in Biomedical Engineering and Bioengineering
Brain Connectivity After Concussion, Armin Iraji
Brain Connectivity After Concussion, Armin Iraji
Wayne State University Dissertations
Mild traumatic brain injury (mTBI) accounts for over one million emergency visits in the United States each year. While most mTBI patients have normal findings in clinical neuroimaging, alterations in brain structure and functional connectivity have frequently been reported. In this study, we investigated the large-scale brain structural and functional connectivity using diffusion MRI and resting-state fMRI data. Data from 40 mTBI patients was acquired at the acute stage (within 24 hrs after injury). 35 patients returned for data acquisition at a follow-up (4-6 weeks after injury). Data was also collected from a cohort of 58 healthy subjects, 36 of …
An Investigation Of The Relationship Between Axonal Injury, Biomarker Expression And Mechanical Response In A Rodent Head Impact Acceleration Model, Yan Li
Wayne State University Dissertations
In the United States 1.4 million people sustain traumatic brain injury (TBI) each year, resulting in 235,000 hospitalizations and 50,000 fatalities annually. Traumatic axonal injury (TAI) is a serious outcome of TBI that accounts for 40-50% of hospitalizations due to head injury and one third of the mortality due to TBI, and it is difficult to diagnose and evaluate. The purpose of this dissertation is to determine mechanical injury predictors for TAI and identify potential biomarkers to evaluate TAI.
In this dissertation, a modified Marmarou impact acceleration injury model was developed to allow the monitoring of velocity of the impactor …
Hyperglycemia Induces Differential Change In Oxidative Stress At Gene Expression And Functional Levels In Huvec And Hmvec, Hemang Patel, Juan Chen, Kumuda C. Das, Mahendra Kavdia
Hyperglycemia Induces Differential Change In Oxidative Stress At Gene Expression And Functional Levels In Huvec And Hmvec, Hemang Patel, Juan Chen, Kumuda C. Das, Mahendra Kavdia
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Endothelial dysfunction precedes pathogenesis of vascular complications in diabetes. In recent years, the mechanisms of endothelial dysfunction were investigated to outline strategies for its treatment. However, the therapies for dysfunctional endothelium resulted in multiple clinical trial failures and remain elusive. There is a need for defining hyperglycemia-induced endothelial dysfunction with both generic and specific dysfunctional changes in endothelial cells (EC) using a systems approach. In this study, we investigated hyperglycemia-induced endothelial dysfunction in HUVEC and HMVEC. We investigated hyperglycemia-induced functional changes (superoxide (O2‾), and hydrogen peroxide (H2O2) production and mitochondrial membrane polarization) …
Processing Random Signals In Neuroscience, Electrical Engineering And Operations Research, Kalyan Raman
Processing Random Signals In Neuroscience, Electrical Engineering And Operations Research, Kalyan Raman
Wayne State University Dissertations
The topic of this dissertation is the study of noise in electrical engineering, neuroscience, biomedical engineering, and operations research through mathematical models that describe, explain, predict and control dynamic phenomena. Noise is modeled through Brownian Motion and the research problems are mathematically addressed by different versions of a generalized Langevin equation. Our mathematical models utilize stochastic differential equations (SDEs) and stochastic optimal control, both of which were born in the soil of electrical engineering. Central to this dissertation is a brain-physics based model of cerebrospinal fluid (CSF) dynamics, whose structure is fundamentally determined by an electrical circuit analogy. Our general …
Raman Spectroscopic Modeling Of T- Lymphocyte Activation And Detection Of Acute Renal Allograft Rejection, Kristian L. Brown
Raman Spectroscopic Modeling Of T- Lymphocyte Activation And Detection Of Acute Renal Allograft Rejection, Kristian L. Brown
Wayne State University Dissertations
ABSTRACT
RAMAN SPECTROSCOPIC MODELING OF T-LYMPHOCYTE ACTIVATION AND DETECTION OF ACUTE RENAL ALLOGRAFT REJECTION
By
KRISTIAN L. BROWN
2010
Advisor: Gregory Auner, PhD
Major: Biomedical Engineering
Degree: Doctor of Philosophy
Despite the advances made in the area of kidney transplantation, the disparity between the demand and available donated organs remains a dominant and unresolved issue. Given the paucity of available renal allografts the preservation of existing grafts is vital. One factor that has negatively impacted renal allograft survival is acute rejection (AR). Traditionally, kidney transplant centers have used elevations in serum creatinine as a screening tool for detecting AR. However, …
Detailed Characterization Of The Mouse Embryonic Stem Cell Transcriptome Reveals Novel Genes And Intergenic Splicing Associated With Pluripotency, Galih Kunarso, Kee-Yew Wong, Lawrence W. Stanton, Leonard Lipovich
Detailed Characterization Of The Mouse Embryonic Stem Cell Transcriptome Reveals Novel Genes And Intergenic Splicing Associated With Pluripotency, Galih Kunarso, Kee-Yew Wong, Lawrence W. Stanton, Leonard Lipovich
Wayne State University Associated BioMed Central Scholarship
Abstract
Background
Transcriptional control of embryonic stem (ES) cell pluripotency has been a subject of intense study. Transcriptional regulators including Oct4 (Oct3/4 index), Sox2 and Nanog are fundamental for maintaining the undifferentiated state. However, the ES cell transcriptome is not limited to their targets, and exhibits considerable complexity when assayed with microarray, MPSS, cDNA/EST sequencing, and SAGE technologies. To identify novel genes associated with pluripotency, we globally searched for ES transcripts not corresponding to known genes, validated their sequences, determined their expression profiles, and employed RNAi to test their function.
Results
Gene Identification Signature (GIS) analysis, a SAGE derivative distinguished …