Medicine and Health Sciences Commons^™

Serpin-Derived Novel Peptide For The Treatment Against Hiv-Induced Inflammation In The Central Nervous System, Yemmy Soler

FIU Electronic Theses and Dissertations

In the brain, HIV predominantly infects microglia/macrophages and astrocytes to a lesser extent. These cells form virus reservoirs with low levels of infection that are very hard to eradicate. Even though the use of cART increases survival rate in HIV patients, the virus persists as a chronic condition. cART is not able to effectively cross the BBB, control HIV replication, or attenuate inflammation in brain reservoirs. Therefore, the virus still causes neuronal dysfunction, pain-related pathology, and ultimately HAND. In this study, we decided to test the hypothesis that a serpin-derived small peptide, SP16, can serve as an anti-viral, anti-inflammatory, pro-survival, …

Discovery Of First-In-Class Small Molecule Agonists Of The Rxfp2 Receptor As Therapeutic Candidates For Osteoporosis, Maria Esteban Lopez

FIU Electronic Theses and Dissertations

Osteoporosis is a chronic bone disease characterized by decreased bone mass and increased risk of developing fractures, predominantly observed in the elderly. The pathophysiological cause of the disease is a decrease in the activity of the bone-forming cells (osteoblasts) that alters bone remodeling in favor of bone resorption, leading to a decrease in bone mass. Recent studies identified the relaxin family peptide receptor 2 (RXFP2), the G protein-coupled receptor (GPCR) for insulin-like 3 peptide (INSL3), as an attractive target expressed in osteoblast cells to increase bone formation. The goal of this dissertation is to discover and characterize small molecule agonists …

Understanding Exosomal Extracellular Vesicles And Morphine In The Neuropathology Of Human Immunodeficiency Virus And Differential Zika Virus Strain-Associated Pathology, Allen Caobi

FIU Electronic Theses and Dissertations

Exosomal Extracellular Vesicles (xEVs), integral to intercellular communication and regulation of immune responses, have functional effects based on their contents, which they transport to neighboring cells. However, in the context of infection, EV cargo can be modulated, by either infected or uninfected cells. We hypothesize that CNS-associated neuropathology, is partially, due to the cargo transported by the exosomes. We theorize that the cargo released from infected cell-derived xEVs may either facilitate or inhibit viral neuropathogenicity. Here we investigated xEVs in the case of two neurotropic viruses, Zika virus (ZIKV) and Human Immunodeficiency Virus (HIV). The hallmark characteristic of ZIKV-infection is …

Development Of A Microwave-Based Dna Extraction Method To Increase The Success Of Direct And Rapid Pcr Technique, Fabiana Taglia

FIU Electronic Theses and Dissertations

The goal of this project was to develop a fast, microwave-based extraction technique that could be employed for direct and rapid DNA analysis. The hypothesis was that the use of a microwave could increase the yield of DNA by opening the cell membrane, rendering the DNA available without the use of any other chemical treatment, and improving results from very low quantity samples.

At present rapid human DNA analysis is mainly restricted to genotyping saliva and sometimes blood samples. We hypothesized that microwave processing could expand the types of samples assessable to these procedures and increase sensitivity.

There were two …

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …