Author(s): Jhansi Kalluri Chemistry & Biochemistry Giridhar Akkaraju Biology Leigh Canham Chemistry & Biochemistry Jeffery Coffer Chemistry & Biochemistry Julianna West Biology
Advisor(s): Jeffery Coffer Chemistry & Biochemistry Giri Akkaraju Biology
Location: Session: 2; B0; Table Number: 4
(Poster is private)
Plant Based Nanotechnology for Drug Delivery of Antioxidant and Anti-inflammatory Therapies
Jhansi Kalluri, Julianna West, Giridhar Akkaraju, Leigh Canham and Jeffery L. Coffer*
Chronic inflammation is one of the characteristics of Alzheimer’s, cancer, and selected auto inflammatory diseases. Medicinal plant extracts rich in polyphenols have shown the ability to aid in the prevention of degenerative diseases such as Alzheimer’s due to their anti-inflammatory and anti-oxidant properties. One of the problems of using polyphenols to treat these diseases is their potentially low bioavailability and short half-life in vivo. An alternative to using free compound is to use plant polyphenol-loaded nano/micro particles to increase their bioavailability and half-life.
Equisetum arvense is a silicon accumulator plant serving as a source for a viable eco-friendly route for fabricating nanostructured porous silicon (pSi) drug delivery carriers; at the same time, if selected plant components contain medicinally-active species as well, then the single substance can provide not only the nanoscale high surface area drug delivery carrier (pSi), but the drug itself. With this idea in mind, porous silicon was fabricated from stems/fronds of the silicon accumulator plant Equisetum arvense and the anti-inflammatory activity of the leaf components (aqueous ethanol extract) of Equisetum arvense was tested using a luciferase assay. We evaluated the dose dependent activity of the extract to inhibit TNF-induced NF- kB activation. Our long-term goal is to measure the anti-inflammatory activity of extract-loaded porous silicon particles in a sustained manner.
Author(s): Nick Baroni Interdisciplinary Micah Eimerbrink Psychology Kelsey Paulhus Biology Julia Peterman Psychology Morgan Thompson Biology Jordon White Psychology
Advisor(s): Gary Boehm Psychology Mike Chumley Biology
Location: Session: 1; 2nd Floor; Table Number: 7
Influence of Isolation Stress on Aβ Production and Cognitive Function in 5xFAD mice Baroni, N. J.,1 Peterman, J. L.1, White, J. D.1, Eimerbrink, M. J.1, Paulhus, K. C.2, Thompson, M. A.2, Chumley, M. J.2 & Boehm G. W.1,
1Department of Psychology, Texas Christian University
2Department of Biology, Texas Christian University
Alzheimer's Disease (AD) is a devastating neurodegenerative disease that affects nearly 44 million people worldwide, and is increasing exponentially in prevalence. Thus, research into its causes and prevention is crucial. Transgenic mouse models of Alzheimer's disease are often used to better study AD pathology. These mice have genetic mutations that result in heightened production of amyloid beta (Aβ), a pathological hallmark of AD. It has been well established that stress can influence AD pathology. This study investigates how isolation stress influences the production of amyloid beta in 5xFAD transgenic mice. In addition, we investigated whether isolation stress impacts cognition in the contextual fear conditioning (CFC) paradigm. The mice were group-housed or isolated for both 2 and 3 months, followed by cognitive testing and tissue collection. Specifically, we utilized histochemistry to examine Aβ plaque counts and an ELISA to examine soluble Aβ production. We found that isolated 5xFAD+ mice had significantly more amyloid beta plaques than group-housed animals. 5xFAD+ mice isolated for 3 months also displayed a cognitive deficit in contextual fear conditioning. All together, our results support the research that isolation stress influences Aβ production and cognitive function, and extends that to the 5xFAD transgenic mice.
Author(s): Alexa Calcagno Psychology Philip Crain Psychology Micah Eimerbrink Psychology Amy Hardy Biology Kelsey Paulhus Biology Julia Peterman Psychology Morgan Thompson Biology Jordon White Psychology
Advisor(s): Gary Boehm Psychology Michael Chumley Biology
Location: Session: 1; 1st Floor; Table Number: 4
Alzheimer’s Disease (AD) is a neurodegenerative disease currently affecting about 5.5 million Americans, and the number of people affected may rise as high as 16 million by 2050. Characteristic AD pathology of deteriorating cognitive function is correlated with neurofibrillary tangles of tau protein and Amyloid-beta (Aβ) plaques. Aβ is a peptide resulting from cleavage of the Amyloid Precursor Protein (APP) primarily present within neuronal cell membranes. The Aβ peptide can be cleaved at different lengths, but Aβ1-42 is the most neurotoxic. Aβ1-42 primarily aggregates in the hippocampus, where it further stimulates the release of cytokine proteins initiating an inflammatory response. Previous studies in our lab have shown that short-term inflammation induced by injection of lipopolysaccharide (LPS) leads to an inflammatory response that stimulates production of Aβ1-42 peptides. The goal of this project was to determine whether this effect could be exacerbated through a second injection series of LPS after a fourteen-day recovery interval, thus modeling multiple, independent, bacterial infections, like that seen in humans. The animals were given 7 days of 250 mg/kg LPS or saline injections, a two-week break, and another 7 days of LPS or saline. Contrary to what was predicted, Aβ levels were not potentiated. This effect was found to be related to decreased inflammatory response upon secondary administration of LPS, as IL-1β mRNA was significantly lower in the group that got two rounds of LPS. Current studies of our lab are evaluating whether these results are related to the presence of antibodies to LPS or a specific tolerance mechanism.
The challenge of taking care of aged patients who lost control of their bladders and bowel movements is to respond to the patients’ needs in a timely manner, which often requires a caretaker (e.g. a family member or a hired assistant) to stay on watch 24/7. In light of advance in cloud computing, we present a real-time low-cost monitoring and notification system that can continuously monitor the patients bedding condition, detect the conditions that help is needed and notify the care-takers. The system consists of TI SensorTags, Raspberry Pis, and IBM Bluemix. The TI SensorTag is a sensing device, while Raspberry Pi acts as a messenger receiving data collected by TI SensorTags via Bluetooth technology and transmitting the data to Bluemix, a cloud-based platform developed by IBM, via WiFi.
The system frequently senses bedding conditions of patients. Data is uploaded to a server residing on IBM Cloud, which processes data and sends appropriate notifications. The availability of cloud technology and small signal processing units, as well as advance in sensor technologies, allow us to build a low-cost system that can help caregivers address the patients’ needs effectively. As a result, the quality of care for patients is improved.