Matching Items (3)
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- All Subjects: Microparticles
- All Subjects: Obesity
- Creators: Ankeny, Casey
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
The primary objective of this research project is to develop dual layered polymeric microparticles with a tunable delayed release profile. Poly(L-lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLGA) phase separate in a double emulsion process due to differences in hydrophobicity, which allows for the synthesis of double-walled microparticles with a PLA shell surrounding the PLGA core. The microparticles were loaded with bovine serum albumin (BSA) and different volumes of ethanol were added to the PLA shell phase to alter the porosity and release characteristics of the BSA. Different amounts of ethanol varied the total loading percentage of the BSA, the release profile, surface morphology, size distribution, and the localization of the protein within the particles. Scanning electron microscopy images detailed the surface morphology of the different particles. Loading the particles with fluorescently tagged insulin and imaging the particles through confocal microscopy supported the localization of the protein inside the particle. The study suggest that ethanol alters the release characteristics of the loaded BSA encapsulated in the microparticles supporting the use of a polar, protic solvent as a tool for tuning the delayed release profile of biological proteins.
ContributorsFauer, Chase Alexander (Author) / Stabenfeldt, Sarah (Thesis director) / Ankeny, Casey (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05
Description
To identify genes that can lead to obesity of Pima Native American heritage, an array of experiments can be conducted to determine possible candidate genes that can increase the likelihood of being obese in a set population. The studies available to identify these genes were (1) inspect follow-up genes identified by a previous genome wide associations studies, GWAS, previously conducted for the 1120 American Indian subjects data available, (2) to directly sequence candidate genes in literature, (3) to analyze whole sequence data from Native American subjects, and lastly (4) to perform functional studies on most promising variants associated with BMI. Analyzing the results presented from my work required the use of biological techniques such as: DNA sequencing, DNA large scale genotyping, PCR amplification, DNA transfections, DNA ligations, in vitro Luciferase assay and Cell culture. Inspecting the follow-up genes identified by the conducted GWAS showed the potential for the MAP2K3 gene to be a candidate to increase obesity in the set population, involve two single nucleotide polymorphisms (SNPs, rs12882548, rs11652094), to affect body weight through complex mechanisms involving food intake and hypothalamic inflammation. The follow-up genes identified in the GWAS that had an effect on obesity showed to affect it through the mechanism of reducing energy expenditure. Through the analysis of SNPs two variants (rs10507100 and rs17087518) were identified to test their roles in the reduction of energy expenditure. Rs17087518 showed to have a role in a relatively reduced EE resulting in weight gain. Directly sequencing a candidate gene known as MRAP2 showed that the SNP rs1928281 did not have a significant difference on obesity in the Native American subjects (p =.09). Analyzing whole genome sequencing SNPs gave rise to novel variants by association analyses with energy expenditure and BMI in 235 whole genomes, the most significant SNP, rs4984683, was examined to determine the variability in energy expenditures. With set quality control assessment a list of variants were received and were then later assessed with other data available to make a connection to EE. Performing functional studies showed the possibility for rs2001651 and rs1466314 to have an effect on MAP2K3 expression level. The initial functional studies gave way to a more in-depth study of this gene to predict BMI in Caucasians and Native Americans, which in turn showed an association with BMI. The use of these techniques have been an indicator for current research in the determination of candidate genes across many diseases. The works presented is an example of the current works in genetics and an exploration of new mechanism to detect, and possibly treat, disease through personalized sequencing.
ContributorsGale, Alex Mauricio Pompa (Author) / Ankeny, Casey (Thesis director) / Baier, Leslie (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05
Description
The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and time effectiveness. Theoretical data for the time to 60% drug release and the slope and intercept of the log-log plot were collected and subjected to statistical analysis in JMP. Since the scope of this project focuses on microparticle surface degradation drug release with no drug diffusion, the characteristic variables relating to the slope (n = diffusional release exponent) and the intercept (k = kinetic constant) do not directly apply to the distribution model within the scope of the research. However, these variables are useful for analysis when the Mathcad template is applied to other types of drug release models.
ContributorsHan, Priscilla (Author) / Vernon, Brent (Thesis director) / Nickle, Jacob (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05