United States

We&#39;re investigating short and long term developmental neural deficits that could be caused by Caesarean Delivery in Prairie Vole offsprings. My focus within the experimental studies is to test social communications and behaviors of prairie vole pups during a series of tests to investigate the impact of birth mode (caesarean vs. vaginal) on postnatal thermoregulation.

DSU Summer Research Symposium 2021

Developmental Consequences of Caesarean Delivery in Prairie Voles

Congratulations to all the researchers who have qualified for the AMA Research Challenge virtual poster symposium and semifinals!

Welcome to the **largest national, multi-specialty research event** featuring research from nearly 1,000 medical students, residents, fellows, and international medical graduates across six topic areas - basic science, clinical and translational research, clinical vignettes, health systems science, medical education, and public health and health policy.

#### Access the Event
Use the buttons below or navigation menu to access the event. 

[![](https://assets.underline.io/markdown_image/1/image/d4076f2146939317a29eb9f69c53ad41.png)](https://underline.io/events/506/sessions?searchGroup=all)
[![](https://assets.underline.io/markdown_image/1/image/6bcee0b523a4874c4292ca0415d88dde.png)](https://underline.io/events/506/posters?searchGroup=all)

#### Event Details
The 2025 AMA Research Challenge includes the following symposium halls:
* **Semifinals hall:** Features research from 54 medical students, residents and international medical graduates that received top scores during first round scoring. 
* **Poster symposium hall:** Features research from nearly 1,000 medical students, residents and international medical graduates categorized by topics and subtopics.

**Here’s how to participate:**
* **View posters and presentations** on a variety of topics and specialties
* **Score posters in the semifinals** to help decide the top five finalists (AMA member exclusive opportunity)
* **Connect with presenters** and provide feedback to help advance their research
* **New this year: Watch live poster presentations** by topic area and engage directly with researchers

At the conclusion of this event, the AMA announced the top five finalists who advanced to the AMA Research Challenge final round, presented their research to an elite panel of judges, and competed to win a $10,000 grand prize presented by Laurel Road.

**Addison Shenk, a fourth-year medical student from Edward Via Virginia College of Osteopathic Medicine, was the winner of the 2025 AMA Research Challenge and was awarded the grand prize of $10,000, presented by Laurel Road.**

#### A message from Dr. Bobby Mukkamala, AMA President
<div style="position: relative; width: 100%; padding-bottom: 56.25%; height: 0; overflow: hidden;">
  <iframe 
    src="https://underline.io/embed/136894-ama-video?t=0"
    title="AMA Welcome Video"
    allowfullscreen
    style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;">
  </iframe>
</div>


#### Recognized Institutions
In 2025, 1,400 abstracts were submitted across six topic areas representing 174 medical schools and more than 150 residency and health care institutions. [See if your institution is represented this year!](https://drive.google.com/file/d/1eFrTqCmCeobx9pr5drJK2hllvsIpFNOY/view?usp=drive_link)

#### Grand Prize Sponsor
AMA would like to thank Laurel Road, a brand of KeyBank, for sponsoring a $10,000 grand prize for the winner of the AMA Research Challenge. Laurel Road and KeyBank are not involved in winner selection process. The winner will be announced during the AMA Research Challenge final round. Payment of the grand prize will be directly from Laurel Road/KeyBank. See the [AMA Research Challenge Official Rules for terms and conditions](https://www.ama-assn.org/system/files/research-challenge-official-rules.pdf).

[![](https://assets.underline.io/uploads/markdown_image/1/image/611e331d4a0eba0920f240cfc04b4d77.png)](https://www.laurelroad.com/)

#### Code of Conduct
<html>
AMA has a code of conduct for its meetings – we ask all attendees to adhere to this code to participate in this year’s meeting. Please read and <a href="https://www.ama-assn.org/about/code-conduct" target="_blank">learn more here</a> about your conduct requirements.
<br><br>
	</html>
	

#### Semifinals Judges

You need to log in with the email address you registered with. Access credentials have been sent to your email. 

Please be sure to check your spam and other email folders if you do not see an email confirmation right away.

Need help? Contact us at <support@underline.io>.

Please log in to explore this event.

If you have used the AMA Research Challenge platform previously, please click the ‘Log-in’ button below. If you do not remember your password, please click “forgot password” and follow prompts to reset your password. After resetting your password, please refresh your webpage to access the platform. 

Register to explore research in a variety of topics. AMA members get exclusive access to score posters in the semifinals. 

**Please use [this link here](https://www.ama-assn.org/member-benefits/events/ama-research-challenge) to register for free. **

Registration Is Required

AMA Research Challenge 2025 

Join the AMA Research Challenge poster symposium and semifinals to explore top research posters and score posters in the semifinals (an AMA member exclusive opportunity).

We're investigating short and long term developmental neural deficits that could be caused by Caesarean Delivery in Prairie Vole offsprings. My focus within the experimental studies is to test social communications and behaviors of prairie vole pups during a series of tests to investigate the impact of birth mode (caesarean vs. vaginal) on postnatal thermoregulation.

poster

Welcome to Delaware State University’s Annual Summer Research Symposium, and thank you for attending! Our symposium represents the culmination of students’ summer experiences in research at Delaware State University. This event showcases the work of college students working on faculty-led research projects, as well as middle and high school students experiencing research for the first time working in research groups. Whatever the case, this summer has been a unique experience for the students, and we hope a transformative one.  Even for students who are not planning a career in scientific research, their summer experience has given them skills they will draw on for years to come. 
<br><br>Please join us on the mainstage and in Gather for the live event, and visit the recorded poster presentations any time.
<br><br>The student participants and organizers of the various summer programs at DSU would like to thank all of the research mentors who guided our summer program participants. There were many DSU faculty, graduate students, and other research and program staff who gave their time and energy to help our students have a fun and educational summer experience. Without their generosity and patience these summer programs would not be possible.
<br><br>For the research participants, we hope that you will maintain contact with your research mentors and colleagues.  Science is a relatively small community made up of disciplinary “neighborhoods”. If you continue to work in a discipline, the other folks in that discipline will be like your neighbors that you run into regularly. Staying in contact with them will help you keep up with the news of the neighborhood, and open doors to educational and career opportunities. Whether you continue in science or take a different career path, for this summer you have been part of the world of research, and you will benefit from that perspective for the rest of your life.


Please register for the DSU Summer Research Symposium 2021 to be able to access the content.  
If you have already registered, please login with the same email you used to registered for the Conference.

Welcome to Delaware State University’s Annual Summer Research Symposium, and thank you for attending!

Parkinson’s Diseases (PD) is the second most common neurodegenerative disorder and is characterized by a preferential loss of dopaminergic neurons of the substantia nigra pars compacta. The cause of the disease remains unknown; however, it is thought that environmental factors may contribute to its development. Rotenone is a pesticide that blocks mitochondrial respiration in the Electron Transport Chain by inhibiting Complex I and has been identified as an environmental risk factor for sporadic PD. Here our goal is to develop strategies that can lead to the development of potential preventative measures against PD. Dacarbazine is a potential anti-PD drug that is known for its use in chemotherapy for skin cancer and was identified in a previous screen for neuroprotective agents against the disease. We hypothesize that Dacarbazine can relieve or reverse the effects of rotenone in Drosophila. We set up a study to analyze the effect of dacarbazine against rotenone-induced neurotoxicity using locomotion behavior as a measure of neuronal toxicity. We set up four conditions: rotenone only; rotenone combined with dacarbazine; dacarbazine only; and DMSO only as vehicle only control. Here we present our results in two paradigms: a first one in which we performed a brief chronic exposure to rotenone and/or dacarbazine for three weeks and a second paradigm in which the chemical treated flies were allowed to recover on normal food for two additional weeks. Together, these studies could help determine whether dacarbazine confers protection against rotenone-induced neurotoxicity and could inform future efforts to establish a neuroprotective strategy against sporadic PD.

Ameliorating the effects of an environmental toxin in a Drosophila model of Parkinson’s Disease

Parkinson’s Disease (PD) is a common neurodegenerative disease. Although not fully understood, we do know that the alpha-synuclein protein plays a major role in causing PD. α-syn Drosophila flies overexpress the α-syn protein which it normally does not express. This allows it to be used as a model for studying Parkinson’s Disease. Gal4 is a driver that allows for the expression of α-syn. For this project, a cross of GAL4 Drosophila and α-syn Drosophila was compared to two control groups to develop a model. One control group was Gal4 crossed into wild-type background. The second control group was UAS-aSyn crossed into wild-type background. To develop the different variations, female drosophila were collected and crossed with adult male drosophila. Over a period of 8 days, the first generation offspring from the three groups were collected and divided into flies separated by sex. We ran locomotion assays using MWT (Multi-Worm Tracker) to track the movement of the flies. The males appeared to be moving at a slower rate than the females. We recorded survival, tracking the number of flies in each vial twice a week. On the 6th week of survival, there was a dramatic drop in the number of flies. Also, both female and male GAL4 x A-SYN Drosophila had similar survival rates. Once we develop a model we will use the model to run an experiment using PFF (Preformed Fibrils) to essentially test whether or not the overexpression of the α-syn gene protects the drosophila from getting Parkinson’s.

The Development of a Model to Study Genetic Parkinson’s Disease using Alpha-synuclein overexpressing Drosophila

Parkinson’s disease (PD) is the most prevalent neurodegenerative motor disease, mostly occurring in people over the ages of 65 years. Protein aggregation known as Lewy body is the hallmark for dopaminergic neuronal death in Parkinson’s disease pathology(1). PD patients initially experience motor deficits such as tremors and postural instability. As the disease progresses, patients lose complete control of physiological functions, which ultimately causes death. The current drugs available for the treatment of PD only alleviates the symptoms by boosting dopamine levels, but do not halt neurodegeneration. The main objective of this study is to evaluate the efficacy of a novel compound-6 by AptaBio as a potential therapeutic for Parkinson’s disease treatment. We analyzed whether this compound was efficacious in reducing PFF (Preformed fibrils of alpha-synuclein)-induced toxicity in N27 dopaminergic cells(3). The compound-6 not only enabled to increase cell viability and reduce cytotoxicity in vitro, but also reduced oxidative stress and minimized protein aggregation. We first tested the compound using a transgenic mouse model known as line 61(3). We demonstrate that the compound-6 successfully decreased motor deficits with stabilizing the levels of dopamine. However, we wanted to use an in vivo model that was more suitable to showcase the compound’s capability of halting neurodegeneration. Hence, we chose to use the PFF injected mouse model. Sonicated PFF was stereotaxically injected to the striatum of C57BL/6 male and female mice bilaterally (aged around 12 months). The PFF injection increases the phosphorylated alpha-synuclein and causes protein aggregation(2). After 4 to 5 months post injection, mice started showing Parkinsonian symptoms in behavior. At this stage, we gavaged the mice with the AptaBio compound-6 at two different doses of 5mg/kg and 25 mg/kg for 5 weeks. After gavaging we performed multiple behavioral tests such as hindlimb clasping, pole test, rotarod, nesting and grooming to measure whether motor function improved with the treatment as compared to PFF injected group that wasn’t treated. There was another group that was only injected with PBS, which was considered as positive controls since they do not show any motor deficits. Currently, we have finished all the behavioral tests and are finishing up data analysis for next 2 weeks. Taken together, our results are promising to show that the AptaBio compound-6 can be a novel and effective treatment for PD by halting neurodegeneration and promoting neuronal recovery.

AptaBio Compound-6 As a Potential Therapeutic for Parkinson’s disease models

Recognition of an α-helix and a complementary cleft are prevelant in many disease-relevant Protein-Protein Interactions (PPIs), and disruption of these PPIs is the focus of many drug discovery efforts. In the first part of our study, we used computational hot-spot analysis to illuminate critical residues in established PPIs involving an α-helix and a complementary cleft. In the second part of this research, we designed proteins to inhibit α-helix / complementary cleft PPIs involved in two distinct steps of the SARS-CoV-2 entry pathway. Previously, we have shown that helix-grafted proteins designed to mimic the HIV-1 gp41 C-peptide, inhibit an interaction involving HIV-1 gp41 N-peptide trimer, and gp41 C-peptide, resulting in the inhibition of HIV-1 entry in a live virus assay. Here, we used helix-grafted display to create novel proteins designed to inhibit two distinct steps in the SARS-CoV-2 entry pathway, which both rely on PPIs involving an α-helix and a complementary cleft. The design of these proteins, t

Targeting α-Helix-Dependent Protein-Protein Interactions In Two Steps of the SARS-CoV-2 Entry Pathway

COVID-19 is a new strain of Coronavirus that had not been discovered in humans previously. It is a disease brought about by SARS-CoV-2 that can trigger a respiratory tract infection. The pandemic has affected people’s lives negatively across the U.S. It was suggested that racial/ethnic minorities were mostly affected by the outburst of this pandemic according to data from the survey people took. The pandemic has affected employment according to the finding from the data filled out by the individuals. More people have lost their jobs because it was not considered essential. As a result, the poverty rate went up. This research will be carried out with community partner organizations, who will recruit participants from communities to take a structured survey and serology test. The purpose of this research is to explore the economic impact of COVID-19 in Delaware’s underserved communities. Specifically, this study will investigate unemployment and household income during the COVID-19 pandemic. The study will also examine whether there are differentials in unemployment and household income by race, gender, and educational level. The significance of this research is to understand the economic impact of the COVID-19 pandemic in underserved communities and bring awareness.

Economic impact of COVID-19 in Delware underserved communities.

Machine learning is an area of artificial intelligence that is responsible for advancements in a broad range of fields such as facial recognition, self-driving cars, fraud detection, and language translation. By utilizing the machine learning algorithms, it is possible to create personalized predictions for occurrence of a disease from a large set of data. The purpose of this study was to build a machine learning model from the Framingham Heart Study data set to predict the ten-year risk of coronary heart disease with a receiver operating characteristic area under the curve (ROC-AUC) of at least 0.70. The Framingham Heart Study is a long-term, cohort study with the purpose of determining the risk factors associated with cardiovascular diseases. We utilized a portion of these data that contained the records of 4,239 individuals. The R programming language was used to produce a series of machine learning models, including logistic regression, random forest, and support vector machine, and a stacked ensemble model composed of the previous three. The Framingham data set was split into training, validation, and testing sets. The training set was used to train the models, the validation set was used to tune the hyperparameters, and the testing set was used to assess the final performance of each model. The best performing model of the four was then selected as the final model. Each of the four models demonstrated similar performances with ROC-AUC scores ranging from 0.706 - 0.725. The logistic regression model, which was the simplest model of the four, was selected as the final model because it performed the best with a ROC-AUC of 0.725. The simplicity of this model makes it readily interpretable, thus increasing its value as a potential aid in the assessment of the risk for coronary heart disease. Our logistic regression model was then successfully incorporated into a Shiny app to make personalized predictions of the ten-year risk of coronary heart disease.

A Machine Learning Approach for Predicting the Ten-Year Risk of Coronary Heart Disease from the Framingham Heart Study Data

The Impact of Treatment Utilization Types on Generalized Anxiety Disorder and Major Depressive Episode among Soldiers.

Jasmine Sanchez Abstract Title: Genetic interaction between endu-2 and rnh-2 reveals their roles in neurogenesis in Caenorhabditis elegans RNase H2 is a ribonuclease/DNA repair factor that removes ribonucleotide leftovers from DNA. RNase H2 is essential for neurogenesis in animals. Mutations in the human RNase H2 genes cause Aicardi-Goutières syndrome, a severe and fatal neurological disorder. Dr. Ii’s research group found that mutations of C. elegans rnh-2 gene, which encodes the catalytic subunit of RNase H2, cause neuronal defects and behavioral changes. Endoribonuclease ENDU-2 plays a role in neurogenesis in nematodes and negatively regulates cold tolerance via apoptotic genes and the ADL neurons in C. elegans. Both endu-2 and rnh-2 are important for developing healthy neurons, but the relationship between these two genes is entirely unknown. C. elegans is a model organism widely used in Biomedical Research. A hermaphrodite has only 302 neurons and all of which corresponding behaviors have been identified. The power of C. elegans genetics has held the key to deciphering essential concepts in neuroscience and biomedicine for many years. In Aim 1, I performed 2 genetic crosses between the endu-2 mutant and the two rnh-2 mutants to isolate two different double mutants. Despite neither single mutant display sickness, we found synthetic lethal interactions between the mutations of these genes. Based on the results, the mechanism of the synthetic lethality appears to be due to accumulation of partial pathway defects in the same pathway. In Aim 2, I conducted “gene knockdown” using RNAi technique. We found that endu-2 gene knockdown moderately impaired the worm’s development, whereas rnh2 gene knockdown severely impaired the development and significantly increased its death rate. Surprisingly, an additional endu-2 knockdown reduced the severe defects of the rnh-2 single knockdown. This implies that endu-2 gene knockdown partially suppressed the defects caused by rnh-2 knockdown, suggesting endu-2 and rnh-2 function in the same pathway for neurogenesis.

Genetic interaction between endu-2 and rnh-2 reveals their roles in neurogenesis in Caenorhabditis elegans

Different studies show that TDP-43 plays a major role in association with other neurological diseases, however, we want to test why TDP-43 is a major factor. We injected a mouse with TDP-43 and injected another mouse with Alzheimer's Disease. The two mice were watched for more than over a month now. We used the mice's pellets to conduct the different tests we ran. We sonicatied the different mice pellets for a 1 min 20 minutes with a 5 sec pulse and 5 sec off cycle. Once the sonication was done, we transferred the sonicated pellets to the centrifuge machine which ran for about 35 minutes. Other graduate students began to compare results from these batches of pellets to the others that they tested to see the difference or similarities. These results showed us that the Alzheimer's disease mouse model that we developed over expresses pathological tau and TDP-43.

TDP-43 Mice Model

Alzheimer’s disease (AD) is the most common form of dementia, accounting for 70 to 80% of all cases. The greatest risk factor for AD is aging; an estimated 30 million people are living with AD and over the next 30 years it is projected to increase to over 130 million worldwide. In addition, one in three seniors have died of AD or another dementing disease, and since 2000, deaths from Alzheimer’s disease have increased 89%. TDP-43 is the major pathological protein in motor neuron disease and frontotemporal dementia. Previously, TDP-43 pathology has been reported that in up to 50% of late-onset, sporadic cases of Alzheimer’s disease, the TDP-43 protein has been reported as an age-related co-pathology linked to dementia severity. TDP-43 proteinopathy in those over 80 has recently been recognized as an independent disease entity, limbic- predominant age-related TDP-43 encephalopathy (LATE). There are over one million people living with LATE in the United States. As LATE shares some of the clinical features of dementia seen in AD in addition to co-existing with AD, understanding mechanisms leading to the pathogenesis of LATE and co-morbid TDP-43 pathology could lead to the development of targeted therapeutics. We have developed an inducible cell-specific pathological model by introducing three familial ALS mutations in the human TDP-43 gene(3XTDP43). Utilizing the tetracycline inducible system, we drove 3XTDP43 specifically in the hippocampus (Camk2a-tTA). Ten-month old mice were used in this study where we performed fMRI, histology, Western blot, and solubility fractionations. Results show phosphorylated TDP-43 pathology and a distinct decrease in solubility. In addition, 3XTDP43 overexpression increases phosphorylation of endogenous tau which may indicate aggregation. Though the mice were imaged (fMRI) we have not evaluated those results as of yet. This model may provide a better understanding of the pathogenesis of TDP-43 proteinopathies.

Downloads

Next from DSU Summer Research Symposium 2021

Ameliorating the effects of an environmental toxin in a Drosophila model of Parkinson’s Disease

Similar lecture

Beyond Assumptions: Racial and Delivery Method Outcomes in Pregnant Patients With Chiari Malformation