Matching Items (6)
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- All Subjects: biodiversity
- All Subjects: Cancer
- Creators: School of Mathematical and Natural Sciences
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
Description
Bexarotene is a synthetic analog of 9-cis-retinoic acid and ligand for the retinoid X receptor which has a history of clinical success in the treatment of T-cell lymphoma. Bexarotene has also shown potential for treating a variety of other cancers, which we seek to explore in this project. The potential of bexarotene lies in its unique mechanisms and wide application, however, it has shown limited effectiveness thus far in the treatment of breast and lung cancer, with moderate levels of efficacy and symptoms such as cutaneous toxicity, hyperlipidemia, and hypothyroidism. For this project several analogs of bexarotene were synthesized with the intentions of making a more potent ligand that can be used to treat these carcinomas while minimizing harmful side effects. We were successful in synthesizing a large variety of analogs over the span of roughly two years, including iso-chroman derivatives of bexarotene and NEt-TMN, in addition to a new series of analogs of the reported NEt-TMN derivative. These analogs were analyzed via melting point determination and nuclear magnetic resonance (NMR) spectroscopy to confirm the molecular structure and determine purity, and it is our intent to continue with further testing of these compounds to determine their effectiveness as well as the side effects they are likely to cause with levels of toxicity. Recent studies suggest that continuing the analysis of these compounds and other rexinoids like the ones described herein is a worthwhile endeavor as similar rexinoids have shown in numerous assays to be more potent and less toxic in the treatment of cancers when compared with bexarotene.
ContributorsMoen, Grant Anthony (Author) / Wagner, Carl (Thesis director) / Deutch, Charles (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
As threats to Earth's biodiversity continue to evolve, an effective methodology to predict such threats is crucial to ensure the survival of living species. Organizations like the International Union for Conservation of Nature (IUCN) monitor the Earth's environmental networks to preserve the sanctity of terrestrial and marine life. The IUCN Red List of Threatened Species informs the conservation activities of governments as a world standard of species' risks of extinction. However, the IUCN's current methodology is, in some ways, inefficient given the immense volume of Earth's species and the laboriousness of its species' risk classification process. IUCN assessors can take years to classify a species' extinction risk, even as that species continues to decline. Therefore, to supplement the IUCN's classification process and thus bolster conservationist efforts for threatened species, a Random Forest model was constructed, trained on a group of fish species previously classified by the IUCN Red List. This Random Forest model both validates the IUCN Red List's classification method and offers a highly efficient, supplemental classification method for species' extinction risk. In addition, this Random Forest model is applicable to species with deficient data, which the IUCN Red List is otherwise unable to classify, thus engendering conservationist efforts for previously obscure species. Although this Random Forest model is built specifically for the trained fish species (Sparidae), the methodology can and should be extended to additional species.
ContributorsWoodyard, Megan (Author) / Broatch, Jennifer (Thesis director) / Polidoro, Beth (Committee member) / Mancenido, Michelle (Committee member) / School of Humanities, Arts, and Cultural Studies (Contributor) / School of Mathematical and Natural Sciences (Contributor) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Cancer, a disease which affects many lives, has been the topic of interest for this research. Treatment options are often available to help lessen the effects of the disease and in regards to cutaneous T-cell lymphoma (CTCL), no cure currently exists. An FDA approved drug by the name of Bexarotene has been developed to provide chemotherapeutic effects within CTCL. Bexarotene has also been used in trials of breast cancer, lung cancer, glioblastoma multiforme and various neurodegenerative diseases. Yet the medication often causes serious side effects including hyperthyroidism, raised triglyceride levels and cutaneous toxicity. The focus of this research is to synthesize a hydroxylated analog compound of Bexarotene in efforts to produce a molecule that provides better chemotherapeutic effects while also lessening the various side effects caused. Synthesis of the molecule followed various organic chemistry techniques and reactions to create the final product. Melting point analysis, NMR and other various characterization data helped to confirm the synthesis of the intended molecule. Preliminary bioassay data results of the analog compound showed similar potency to that of Bexarotene. Further testing, however, will be required to determine the full pharmacokinetic profile of the molecule. Future direction of the research focuses on both further testing of the hydroxylated analog as well synthesizing newer analog compounds to find a molecule that can provide the best effects within cutaneous T-cell lymphoma and the various other diseases as well.
ContributorsMinasian, Ani Christina (Author) / Wagner, Carl (Thesis director) / Marshall, Pamela (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
With increasing urbanization, organisms face a myriad of novel ecological challenges. While the eco-evolutionary dynamics of urbanization are currently receiving a great deal of attention, the effect of urban disturbance on the microbiome of urban organisms is relatively unstudied. Indeed, studies of the microbiome may illuminate the mechanisms by which some species thrive after urbanization (pest implications), while other species go locally extinct (biodiversity implications). We investigated the gut microbiome of the Western black widow spider (Latrodectus hesperus). L. hesperus is an ideal model system as they are a pest species of medical importance in urban ecosystems, often forming dense urban infestations relative to the sparse populations found in their native Sonoran Desert. To gain insight into the composition of the microbiome in L. hesperus and its potential function, we sampled 4 urban, 4 desert, and 2 laboratory-reared spiders, and high-throughput sequencing of the 16S rRNA V4 region was used to investigate the diversity of gut microbiota. Dominant bacterial phyla across all samples were Firmicutes, Proteobacteria, and Actinobacteria. While desert widows showed more gut microbial diversity than urban widows, the difference was not statistically significant. The relative abundance of taxonomic classes Blastocatellia, Acidobacteriia, and Thermoleophilia detected in desert spiders was especially higher than those in urban and laboratory-reared spiders. However, urban spiders had a higher relative abundance of taxonomic class Actinomycetia. Differences in widow gut microbiome diversity improves our understanding of how features unique to a habitat, like prey diversity and soil microbes, may be shaping their microbiome. Additionally, this work further highlights the impact urbanization has on biodiversity loss, which indirectly develops a new biomarker for differentiating between urban and desert black widow spiders based on their gut microbiome.
ContributorsAsrari, Hasti (Author) / Johnson, Chad (Thesis director) / Sandrin, Todd (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor) / School of Life Sciences (Contributor)
Created2022-12
Description
The ever-increasing importance of cancer and neurodegenerative diseases continues to grow as populations across the world are affected by death and aging. The vitamin A (RXR) and vitamin D (VDR) receptor pathways offer promising potential to aid in treatment of cancer and Alzheimer’s disease. This thesis discusses the potential application of novel analogs of Bexarotene (RXR agonist), MeTC7 (a new potent VDR antagonist), and vitamin D as possible therapeutics for cancer and Alzheimer’s disease.
ContributorsHong, Jennifer (Author) / Jurutka, Peter (Thesis director) / Wagner, Carl (Committee member) / Marshall, Pamela (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor)
Created2023-05
Description
Despite thousands of hectares of reforestation in Costa Rica, the landscape across the country remains fragmented by patches of large-scale commercial plantations and human communities. These patchy areas have a lack of suitable habitat and prey, meaning there is very little gene flow within meta populations of many mammal & predator species. This study aims to establish a baseline for mammal presence and diversity in the Las Tablas protected zone in order to better inform conservation and habitat restoration efforts. In a camera trap study conducted from January 2023 - May 2023, 37 non-baited cameras were placed across a study area of 328 square kilometers. Sites were selected using a stratified study design, with cameras deployed in forest, farm, and fragment habitat. A total of 839 independent videos captured 29 species of mammals and large-bodied ground birds from 10 different taxa. Videos were analyzed using the Sanderson Method (Harris et al. 2010), for relative abundance, naive occupancy, and absence-presence matrices. White-nosed coati (Nasua narica) had both the highest relative abundance and naive occupancy. Pearson’s correlation used to analyze the relationship between species richness at a site against camera effort as well as different landscape covariates (distance to national park border, distance to a riparian corridor, and patch size) showed effort and patch size to be the strongest predictor of a site’s richness. Shannon-weiner alpha diversity indices were calculated for the three different landscape types. Forest land types had the highest diversity indices while fragments had the lowest. This research provides a comprehensive baseline for mammal presence and diversity to better inform habitat restoration and jaguar conservation efforts in the Las Tablas region.
ContributorsDimas, Gabriela (Author) / Johnson, J. Chad (Thesis director) / Schipper, Jan (Committee member) / Ragan, Kinley (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Natural Sciences (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2024-05