Life Sciences Commons^™

Update On The Role Of Muc13 In Pancreatic Cancer: A Promising Early Detection Biomarker, Anupam Dhasmana, Swati Dhasmana, Sheema Khan, Meena Jaggi, Murali M. Yallapu, Subhash C. Chauhan

Research Symposium

Background: With the rise in pancreatic cancer (PanCa) prevalence and mortality rate, by 2030 it will secure second position among leading causes of cancer-related deaths. Due to poor prognosis of PanCa only 11% of PanCa patients have a 5-year survival rate, resulting in an equal mortality rate and incidence rate. 85% of PanCa are Pancreatic ductal adenocarcinoma (PDAC). The main clinical challenge with PanCa is poor treatment outcomes due the late diagnosis. Currently, there are traditional biomarkers panels available for diagnosis, however, these biomarkers do not have optimal sensitivity and specificity for PanCa. Considering this alarming unmet clinic need, our …

Limonene Exerts Anti-Inflammatory Effect On Lps-Induced Jejunal Injury In Mice By Inhibiting Nf-Κb/Ap-1 Pathway, Sarmed H. Kathem, Yasameen Sh. Nasrawi, Shihab H. Mutlag, Surya M. Nauli

Pharmacy Faculty Articles and Research

The human gastrointestinal system is a complex ecosystem crucial for well-being. During sepsis-induced gut injury, the integrity of the intestinal barrier can be compromised. Lipopolysaccharide (LPS), an endotoxin from Gram-negative bacteria, disrupts the intestinal barrier, contributing to inflammation and various dysfunctions. The current study explores the protective effects of limonene, a natural compound with diverse biological properties, against LPS-induced jejunal injury in mice. Oral administration of limonene at dosages of 100 and 200 mg/kg was used in the LPS mouse model. The Murine Sepsis Score (MSS) was utilized to evaluate the severity of sepsis, while serum levels of urea and …

Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch

Graduate Industrial Research Symposium

Bovine IgG diffusion measurement by tracking the movement of the protein over time in an in-vitro matrix is motivated by the large number of protein/peptide therapeutics currently under various stages of development in the pharmaceutical industry. Many of these therapeutics are monoclonal antibodies (IgG type proteins) that are candidates for subcutaneous, intra-vitreous and intra-articular administration depending on the target of the therapeutic. Hyaluronic acid (HA) is a major constituent and determines the key attributes of the subcutaneous environment, vitreous humor of the eye and synovial fluid of the knee joint. HA exhibits varying molecular weight at these anatomic locations thereby …

A Potential Role Of Urinary P75ecd As A Biomarker For Amyotrophic Lateral Sclerosis In An American Cohort, Swati Dhasmana, Anupam Dhasmana, Sheema Khan, Acharan S. Narula, Murali Yallapu, Subhash Chauhan

Research Symposium

Background: Neurological disorders present a unique complexity compared to other diseases, involving multiple risk factors, causes, treatments, and outcomes. These disorders often exhibit various molecular and morphological changes indicative of disruptions in cellular plasticity and resilience. The pathogenesis of many neurological disorders remains unclear, necessitating ongoing investigations. Amyotrophic lateral sclerosis (ALS) exemplifies an idiopathic and fatal neurodegenerative disease marked by the degeneration of upper and lower motor neurons. The average life expectancy post-diagnosis is a mere 36 months, primarily attributed to respiratory muscle denervation.The persistent challenges in ALS clinical trials and the absence of effective therapeutic options have intensified interest …

Evaluation Of Novel Therapeutic Agents For The Treatment Of Chronic Dry Eyes, Lilian Huynh, Evonie Villarete, Surajit Dey

Annual Research Symposium

Dry eye disease (DED) is a multifactorial ocular condition, where disrupted tear film stability and ocular surface inflammation affected between 5% to 34% of the worldwide population in 2015 and posed a challenge to conventional ophthalmic treatments. Recent advances have led to potential novel therapeutics aiming to alleviate symptoms and improve patient outcomes.

Recent Studies In The Surgical Treatment Of Tetralogy Of Fallot, Emma C. Gardner

Mako: NSU Undergraduate Student Journal

No abstract provided.

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …

Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam

Physical Therapy Faculty Articles and Research

Introduction:

Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.

Aim:

Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.

Methods:

Despite challenges in …

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

Undergraduate Research Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …

Role Of Plasmapheresis: A Tale Of Two Thyroid Storms, Zhiwei Zhang, Sam Joseph, Donald Eagerton

South Atlantic Division Research Day 2024

No abstract provided.

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Chemical Modification And Evaluation Of Cells Towards Use As Delivery Tools, Bishnu Prasad Joshi

Doctoral Dissertations

CHEMICAL MODIFICATION AND EVALUATION OF CELLS TOWARDS USE AS DELIVERY TOOLS SEPTEMBER 2023 BISHNU PRASAD JOSHI M.S., SRI SATHYA SAI INSTITUTE OF HIGHER LEARNING Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Michelle E. Farkas Endogenous cells are being studied for use in various applications, such as next generation therapeutics and drug delivery vehicles. This is on account of their biocompatibility, amenable distribution profiles, and in many instances, recruitment to and localization of diseased tissues. Multiple cell types have been employed, including macrophages, stem cells, red blood cells, and T cells. Most examples of cell-based delivery utilize phagocytosed entities as …

Covid‑19‑Related Risk, Resilience, And Mental Health Among Mexican American Mothers Across The First Year Of The Pandemic, Amy L. Non, Elizabeth S. Clausing, Sandraluz Lara‑Cinisomo, Kimberly L. D’Anna Hernandez

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Background Latina mothers have been especially affected by the pandemic and historically exhibit high rates of depression and anxiety. However, few longitudinal studies have assessed the effect of the pandemic on this vulnerable population. We hypothesized that COVID-19-related stressors would associate with psychological distress among Latina mothers across the first year of the pandemic.

Methods We investigated COVID-19-related impact, stigma, and fears across two critical time points and changes in these measures in relation to changes in maternal anxiety and depression among mothers of Mexican descent living in Southern California (n=152). Surveys were administered within 5–16 weeks of …

Reduced Grey Matter Volume In Adolescents With Conduct Disorder: A Region‑Of‑Interest Analysis Using Multivariate Generalized Linear Modeling, Ru Zhang, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Jordan E. Pierce, Johannah Bashford‑Largo, Ahria J. Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Background Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate cortex, and fusiform gyrus. The current study developed a multivariate generalized linear model (GLM) to differentiate adolescents with CD from typically developing (TD) adolescents in terms of grey matter volume (GMV).

Methods The whole‐brain structural MRI data were collected from 96 adolescents with CD (mean age = 16.188 ± 1.259 years; mean IQ = 104.292 ± 8.107 ; 63 males) and 90 …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Targeting Breast Cancer: The Familiar, The Emerging, And The Uncharted Territories, Hamidreza Montazeri Aliabadi, Arthur Manda, Riya Sidgal, Co Chung

Pharmacy Faculty Articles and Research

Breast cancer became the most diagnosed cancer in the world in 2020. Chemotherapy is still the leading clinical strategy in breast cancer treatment, followed by hormone therapy (mostly used in hormone receptor-positive types). However, with our ever-expanding knowledge of signaling pathways in cancer biology, new molecular targets are identified for potential novel molecularly targeted drugs in breast cancer treatment. While this has resulted in the approval of a few molecularly targeted drugs by the FDA (including drugs targeting immune checkpoints), a wide array of signaling pathways seem to be still underexplored. Also, while combinatorial treatments have become common practice in …

Additive Effects Of Cyclic Peptide [R4w4] When Added Alongside Azithromycin And Rifampicin Against Mycobacterium Avium Infection, Melissa Kelley, Kayvan Sasaninia, Arbi Abnousian, Ali Badaoui, James Owens, Abrianna Beever, Nala Kachour, Rakesh Kumar Tiwari, Vishwanath Venketaraman

Pharmacy Faculty Articles and Research

Mycobacterium avium (M. avium), a type of nontuberculous mycobacteria (NTM), poses a risk for pulmonary infections and disseminated infections in immunocompromised individuals. Conventional treatment consists of a 12-month regimen of the first-line antibiotics rifampicin and azithromycin. However, the treatment duration and low antibiotic tolerability present challenges in the treatment of M. avium infection. Furthermore, the emergence of multidrug-resistant mycobacterium strains prompts a need for novel treatments against M. avium infection. This study aims to test the efficacy of a novel antimicrobial peptide, cyclic [R4W4], alongside the first-line antibiotics azithromycin and rifampicin in reducing M. avium survival. Colony-forming unit (CFU) …

Assessing Blood Oxygen Level–Dependent Signal Variability As A Biomarker Of Brain Injury In Sport-Related Concussion, Evan D. Anderson, Tanveer Talukdar, Grace Goodwin, Valentina Di Pietro, Kamal M. Yakoub, Christopher E. Zwilling, David Davies, Antonio Belli, Aron K. Barbey

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Mild traumatic brain injury is a complex neurological disorder of significant concern among athletes who play contact sports. Athletes who sustain sport-related concussion typically undergo physical examination and neurocognitive evaluation to determine injury severity and return-to-play status. However, traumatic disruption to neurometabolic processes can occur with minimal detectable anatomic pathology or neurocognitive alteration, increasing the risk that athletes may be cleared for return-to-play during a vulnerable period and receive a repetitive injury. This underscores the need for sensitive functional neuroimaging methods to detect altered cerebral physiology in concussed athletes. The present study compared the efficacy of Immediate Post-concussion Assessment and …

Analyzing Pseudomonas Aeruginosa With Bacteriophage Tags Using Photoacoustic Flow Cytometry, Jennifer C. Schinke

Electronic Theses and Dissertations

The number of daily bacterial infections is climbing and the CDC explains that this is due to the antibiotic-resistant threat in the United States. Finding a faster way of bacterial identification is necessary as it currently takes 1-4 days for a medical lab to culture and identify bacteria. Photoacoustic flow cytometry (PAFC) can be used as an alternative method resulting in swift identification within an hour (Edgar, 2019). Pseudomonas aeruginosa, cell line PA01, will be coated in up to a few hundred red dyed phages making it detectible by the photoacoustic flow cytometry system. Bacteriophages (phages) are viruses that …

Identification Of Structural Brain Alterations In Adolescents With Depressive Symptomatology, J. Bashford‑Largo, R. James R. Blair, Karina S. Blair, Matthew Dobbertin, Ahria Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Introduction: Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents.

Methods: Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood …