Digital Commons Network^™

Artificial Transneurons Emulate Neuronal Activity In Different Areas Of Brain Cortex, Rivu Midya, Ambarish S Pawar, Debi P Pattnaik, Eric Mooshagian, Pavel Borisov, Thomas D Albright, Lawrence H Snyder, R Stanley Williams, J Joshua Yang, Alexander G Balanov, Sergei Gepshtein, Sergey E Savel'ev

2020-Current year OA Pubs

Rapid development of memristive elements emulating biological neurons creates new opportunities for brain-like computation at low energy consumption. A first step toward mimicking complex neural computations is the analysis of single neurons and their characteristics. Here we measure and model spiking activity in artificial neurons built using diffusive memristors. We compare activity of these artificial neurons with the spiking activity of biological neurons measured in sensory, pre-motor, and motor cortical areas of the monkey (male) brain. We find that artificial neurons can operate in diverse self-sustained and noise-induced spiking regimes that correspond to the activity of different types of cortical …

The Psychiatric Genomics Consortium: Discoveries And Directions, Arpana Agrawal, Cynthia M Bulik, Dawit Shawel Abebe, Ole A Andreassen, Elizabeth G Atkinson, Karmel W Choi, Aiden Corvin, Helena L Davies, Lea K Davis, Anna R Docherty, Howard J Edenberg, Barbara Franke, Joel Gelernter, Paola Giusti-Rodríguez, John M Hettema, Jens Hjerling-Leffler, Hailiang Huang, Emma C Johnson, Cathryn M Lewis, Yi Lu, Mary-Ellen Lynall, Joanna Martin, Andrew M Mcintosh, Janitza L Montalvo-Ortiz, Niamh Mullins, Caroline M Nievergelt, Kevin S O'Connell, Michael C O'Donovan, Adeniran Okewole, Roseann E Peterson, Danielle Posthuma, Jonathan Sebat, Jordan W Smoller, Reeteka Sud, Biju Viswanath, James T R Walters, Hyejung Won, Naomi R Wray, Patrick F Sullivan, Coordinating Committee Of The Psychiatric Genomics Consortium

Faculty, Staff and Students Publications

The Psychiatric Genomics Consortium (PGC) has fueled discoveries of common and rare genetic variation contributing to liability to many psychiatric and neurodevelopmental conditions. This narrative review reflects on major findings from the past half decade of research by this international group of investigators in five priority areas: discovery of common variants using GWAS; rare variation and its interplay with polygenic risk; leveraging genetics to go beyond diagnostic boundaries; ascribing functional attributes to genomic discoveries; and developing and implementing processes for data sharing, outreach to various communities, and training. The insights gained in these domains frame the agenda for the next …

Study Of Ai Applications In Biomedical Data Acquisition, Communication, And Analysis: Cest Mri Acceleration And Ecg Transmissions, Adarsha Bhattarai

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation investigates the application of artificial intelligence in biomedical data acquisition, communication, and analysis to advance neurological research and to enable the early detection of cardiovascular conditions. Despite significant advances in imaging and physiological modalities, challenges persist. Imaging modalities, such as the chemical exchange saturation transfer magnetic resonance imaging (CEST MRI) technique are challenged by a prolonged data acquisition time and high operational costs. In addition, physiological modalities such as electrocardiogram (ECG) sensors face constraints in providing uninterrupted signal monitoring which is crucial for the timely detection of premature cardiac abnormalities. The primary goal of this work is to …

Treatment With Allogenic Mesenchymal Stromal Cells For Moderate To Severe Acute Respiratory Distress Syndrome: A Double-Blind, Placebo-Controlled, Multi-Center, Phase 2b Clinical Trial (Stat), Michael A Matthay, Hanjing Zhou, Aartik Sarma, Narges Alipanah-Lechner, Carolyn Hendrickson, Lucy Z Kornblith, Martin Schreiber, David Zonies, Akram Khan, Bryce Robinson, Nicholas J Johnson, Lorraine B Ware, Oscar Guillamondegui, Jonathan Casey, Laura Moore, Bela Patel, Lillian Kao, Charles E Wade, Erin Fox, Charles Cox, Farrakh Khawanja, Robier Aguillon Prada, Sami Hossri, Rachael Callcut, Timothy Albertson, Kevin L Delucchi, Melanie Mcmillan, Charles R Langelier, Shibani Pati, David H Mckenna, Carolyn Leroux, Carolyn S Calfee, Kathleen D Liu

Faculty, Staff and Student Publications

Background: Prior clinical trials established the safety, but not the efficacy of bone marrow-derived mesenchymal stromal cells (MSCs) in the acute respiratory distress syndrome (ARDS).

Methods: We conducted a prospective, double-blind, multi-center randomized phase 2b clinical trial of one dose of intravenous MSCs (10 x 106/kg predicted body weight) versus placebo in 120 ventilated patients with ARDS (PaO2/FiO2 < 250 mmHg). The primary endpoint was change in oxygenation index (OI) over 36 hours from baseline.

Findings: Enrollment began in January 2020. Due to the Coronavirus 2019 (COVID-19) pandemic, the majority of subjects (101/120, 84%) developed ARDS from COVID-19. There were no significant baseline differences in severity of illness between patients treated with MSCs and those who received …

Current Landscape Of Preclinical Models For Pediatric Gliomas: Clinical Implications And Future Directions., Syed M. Faisal, Monika Yadav, Garrett R. Gibson, Adora T. Klinestiver, Ryan M. Sorenson, Evan Cantor, Maria Ghishan, John R. Prensner, Andrea T. Franson, Kevin Ginn, Carl Koschmann, Viveka Nand Yadav

Manuscripts, Articles, Book Chapters and Other Papers

Pediatric high-grade gliomas (pHGGs), particularly diffuse midline gliomas (DMGs), are among the most lethal brain tumors due to poor survival and resistance to therapies. DMGs possess a distinct genetic profile, primarily driven by hallmark mutations such as H3K27M, ACVR1, and PDGFRA mutations/amplifications and TP53 inactivation, all of which contribute to tumor biology and therapeutic resistance. Developing physiologically relevant preclinical models that replicate both tumor biology and the tumor microenvironment (TME) is critical for advancing effective treatments. This review highlights recent progress in in vitro, ex vivo, and in vivo models, including patient-derived brain organoids, genetically engineered mouse models (GEMMs), and …

Characterization Of Lactobacilli-Containing Catheter Segments Developed By Using Selective Laser Sintered Mold., Caden Maners

Master of Engineering Theses

Catheter-associated urinary tract infections (CAUTIs) are a major healthcare burden with current prevention strategies offering limited success. This study presents a novel, self-coating biomaterial approach using a silicone-based bioink embedded with thermally sensitive probiotic strains (L. crispatus, L. rhamnosus, and L. reuteri). Catheter segments were fabricated via bio-injection molding using 3D-printed CAD molds. These Lactobacilli, selected for their probiotic and antimicrobial potential, serve as a non- antibiotic strategy to reduce infection risk. These segments were evaluated for mechanical strength (Shore A hardness), thermal stability (TGA/DSC), porosity and bacterial presence (SEM), biofilm formation (crystal-violet assay), as well as mass retention in …

Functional Assays In Drosophila Facilitate Classification Of Variants Of Uncertain Significance Associated With Rare Diseases, Jung-Wan Mok, Shelley B Gibson, Haley A Dostalik, Shinya Yamamoto

Faculty, Staff and Students Publications

Individuals living with rare diseases often undergo a frustrating and expensive diagnostic odyssey. Clinical geneticists who analyze exome or genome sequencing data from rare disease patients often encounter a list of variants of uncertain significance (VUS) in known disease-causing genes or rare variants in genes of uncertain significance (GUS) that are difficult to interpret, even with the integration of the latest bioinformatic tools. In this Perspective, we review how studies using the fruit fly Drosophila melanogaster have facilitated rare disease diagnosis by uncovering the clinical relevance of GUS and classifying rare variants into specific allelic categories (loss-of-function or gain-of-function, Muller's …

Bibliometric Analysis Of Colchicine In Cardiovascular Health: Trends, Key Contributors, And Global Collaborations, Meltem Sertbaş, Özlem Özaydin, Habi̇p Yilmaz, Abdullah Emre Güner, Özden Güdük, Nalan Okuroğlu, Ali̇ Özdemir, Yaşar Sertbaş

Turkish Journal of Medical Sciences

Background/aim: The study aims to systematically analyze the body of literature concerning the effects of colchicine on the cardiovascular system, providing a comprehensive evaluation of the current knowledge and highlighting the clinical and scientific relevance of colchicine in this field.

Materials and methods: Data were obtained from the Web of Science Core Collection database on November 17, 2024. The search terms included “Colchicine” AND "Cardiovascular effects" OR "Cardiovascular diseases" OR "Heart diseases" OR "Coronary artery disease" OR "Myocarditis" OR "Pericarditis" OR "Atherosclerosis" OR "Heart failure" OR "Myocardial infarction." No restrictions were applied regarding publication date or language, ensuring the comprehensive …

The Social Standing Versus The Mind Standing Of Older Adults In Egypt: Cross-Sectional Analysis Of The Relationship Between Social Capital And Cognitive Functions, Shaza H. Shinaishen Dr

Theses and Dissertations

Introduction: Egypt's population, much like that of other countries, is expected to age considerably over the course of the coming decades. Although biological and socioeconomic predictors of cognitive function have been studied widely, personal level social capital remains unexplored, especially in LMICs.

Purpose: This study primarily investigates the relationship between individual social capital and cognitive functioning among older adults aged 65 years and older in Egypt using the structural and cognitive components of social capital, including group membership, civic engagements, and caregiving roles.

Methods: A cross-sectional survey on 363 older individuals in different geographical and demographic segments of Egypt using …

Mechanistic Insights Into The Flash Effect: The Role Of Oxygen And Radiation Chemistry In Ultra-High Dose Rate Radiation Therapy, Jacob Pierce Sunnerberg

Dartmouth College Ph.D Dissertations

The development of new cancer therapies focuses on widening the therapeutic ratio between tumor control and normal tissue toxicity. Over the last decade, ultra-high dose rate (UHDR) radiation therapy, commonly known as FLASH radiotherapy (FLASH-RT), has shown promising potential to reduce normal tissue toxicity while maintaining tumor control. However, the underlying mechanisms of the FLASH effect remain poorly understood. This thesis explores the radiation-chemical basis of FLASH-RT, focusing on the role of oxygen and reactive oxygen species in modulating biological outcomes.

A comprehensive set of in vitro studies demonstrated that UHDR delivery significantly alters radiation chemistry compared to conventional dose …

Advances In Bone And Orthopedics 2025 – 5th Edition, Jean-Philippe Berteau, Laurent Pujo-Menjouet, Hélène Follet, Aurélie Levillain

Publications and Research

This volume brings together selected works from the 2025 Bone and Orthopedics Interdisciplinary Symposium (BONITOS), underscoring our community’s ongoing commitment to advancing research in biomechanics, bone health, and orthopedic science. The symposium unites leading experts from around the world, fostering collaboration and the exchange of ideas across disciplines. Organized in partnership with the French-speaking Society of Biomechanics, the French National Institute of Health and Medical Research (INSERM), the University of Lyon, the College of Staten Island of the City University of New York (CUNY), and the American Association of Physical Therapists (APTA) – Brooklyn Staten Island Chapter, BONITOS 2025 represents …

The Lung Cancer Autochthonous Model Gene Expression Database Enables Cross-Study Comparisons Of The Transcriptomic Landscapes Across Mouse Models, Ling Cai, Fangjiang Wu, Qinbo Zhou, Ying Gao, Bo Yao, Ralph J Deberardinis, George K Acquaah-Mensah, Vassilis Aidinis, Jennifer E Beane, Shyam Biswal, Ting Chen, Carla P Concepcion-Crisol, Barbara M Grüner, Deshui Jia, Robert A Jones, Jonathan M Kurie, Min Gyu Lee, Per Lindahl, Yonathan Lissanu, Corina Lorz, David Macpherson, Rosanna Martinelli, Pawel K Mazur, Sarah A Mazzilli, Shinji Mii, Herwig P Moll, Roger A Moorehead, Edward E Morrisey, Sheng Rong Ng, Matthew G Oser, Arun R Pandiri, Charles A Powell, Giorgio Ramadori, Mirentxu Santos, Eric L Snyder, Rocio Sotillo, Kang-Yi Su, Tetsuro Taki, Kekoa Taparra, Phuoc T Tran, Yifeng Xia, J Edward Van Veen, Monte M Winslow, Guanghua Xiao, Charles M Rudin, Trudy G Oliver, Yang Xie, John D Minna

Faculty, Staff and Student Publications

Lung cancer, the leading cause of cancer mortality, exhibits diverse histological subtypes and genetic complexities. Numerous preclinical mouse models have been developed to study lung cancer, but data from these models are disparate, siloed, and difficult to compare in a centralized fashion. In this study, we established the Lung Cancer Autochthonous Model Gene Expression Database (LCAMGDB), an extensive repository of 1,354 samples from 77 transcriptomic datasets covering 974 samples from genetically engineered mouse models (GEMMs), 368 samples from carcinogen-induced models, and 12 samples from a spontaneous model. Meticulous curation and collaboration with data depositors produced a robust and comprehensive database, …

Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Himansu Kumar, Zikang Chen, Abayomi Adegunlehin, Loren Trowbridge, Leonardo Aguilar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes were the most targeted fusion gene group among multiple major cellular gene groups. Kinase inhibitors disrupt aberrant signaling cascades and inhibit tumor progression, yet the specific mechanisms of action of the U.S. Food and Drug Administration (FDA)-approved inhibitors in the context of kinase fusion oncoproteins remain largely unknown. This gap limits our ability to develop personalized therapies and next-generation kinase inhibitors. To address this, we developed a novel in silico pipeline for predicting 3D structures of kinase fusion proteins and performing structure-based virtual screening. This approach enables large-scale structural annotation and drug screening across pan-cancer kinase fusions. …

Development Of Small-Molecule Inhibitors For Bacteroides, Naegleria, And Toxoplasma Microorganisms And Synthesis Of N-Heterocycles From Thiolated Ene-Ynes And Azodicarboxylates, Samuel Kwain

All Dissertations

Humans and microorganisms are intricately interconnected, with microbes constituting an essential component of human biology and ecology. This interdependence necessitates a delicate balance between leveraging beneficial microbes and mitigating the impact of harmful ones. The human gut microbiome, home to trillions of microorganisms, predominantly comprises commensal species that support health. However, dysbiosis within this ecosystem has been linked to serious diseases. For instance, an overrepresentation of Bacteroides species is associated with Type I diabetes mellitus (T1D) and various chronic gut disorders, including ulcerative colitis, inflammatory bowel disease, celiac disease, and colorectal cancer. Similarly, Naegleria fowleri, a free-living amoeba, causes …

Development Of Lineal Energy Spectrum-Based Biological Effects Models For Protons, Joseph M. Decunha, Fada Guan, David Grosshans, Zhongxing Liao, Dragan Mirkovic, Oleg Vassiliev, Radhe Mohan

Dissertations and Theses (Open Access)

In this dissertation, methods are developed and described to allow for the rapid calculation of microdosimetric spectra (specifically, lineal energy) for protons. SuperTrack, a GPU-accelerated tool for calculation of microdosimetric spectra was developed and is capable of computing lineal energy spectra up to 5000x faster than using Geant4 directly. Proton lineal energy spectra generated by SuperTrack are indistinguishable from those generated by Geant4. With SuperTrack, large libraries of lineal energy spectra for monoenergetic protons spanning 0-300 MeV have been developed. The proton lineal energy spectra calculated by SuperTrack have been compared to experimental measurements made by a tissue equivalent proportional …

Gene Promoters Are Genomically Encoded To Facilitate Histone Exchange/Incorporation, Blaine Bartholomew

Faculty, Staff and Student Publications

Gene promoters are intrinsically hardwired not only to facilitate transcription preinitiation complex formation but also the release of paused RNA polymerase by H2A.Z. A new PLOS Biology study reveals poly (dA) tracts at promoters positively stimulate H2A.Z incorporation by the SWR complex in yeast.

Idh Status Dictates Ohsv Mediated Metabolic Reprogramming Affecting Anti-Tumor Immunity, Upasana Sahu, Matthew P Mullarkey, Sara A Murphy, Joshua C Anderson, Vasanta Putluri, Abu Hena Mostafa Kamal, Jun Hyoung Park, Tae Jin Lee, Alexander L Ling, Benny A Kaipparettu, Ashok Sharma, Nagireddy Putluri, Pamela L Wenzel, Christopher D Willey, E Antonio Chiocca, James M Markert, Balveen Kaur

Faculty, Staff and Student Publications

Identification of isocitrate dehydrogenase (IDH) mutations has uncovered the crucial role of metabolism in gliomagenesis. Oncolytic herpes virus (oHSV) initiates direct tumor debulking by tumor lysis and activates anti-tumor immunity, however, little is known about the role of glioma metabolism in determining oHSV efficacy. Here we identify that oHSV rewires central carbon metabolism increasing glucose utilization towards oxidative phosphorylation and shuttling glutamine towards reductive carboxylation in IDH wildtype glioma. The switch in metabolism results in increased lipid synthesis and cellular ROS. PKC induces ACSL4 in oHSV treated cells leading to lipid peroxidation and ferroptosis. Ferroptosis is critical to launch an …

Nanosecond Pulsed Electric Field And Plasma Jets For Cancer Therapy, Edwin Ayobami Oshin

Biomedical Engineering Theses & Dissertations

Nanosecond pulsed electric field (nsPEF) employs nanosecond-duration, high voltage pulses to induce oxidative stress, leading to temporary or permanent damage to cells or tissue (also known as reversible and irreversible electroporation), and has been considered a promising approach for cancer therapy. In parallel to this, nanosecond pulsed atmospheric pressure plasma jets (ns-APPJs) have also shown to be effective in inactivating cancer cells or increasing sensitivity of cells to electric fields. ns-APPJs are known to generate reactive chemical agents, including reactive oxygen and nitrogen species (RONS) which induces oxidative stress resulting in cell proliferation, apoptosis, and necrosis. In this dissertation, a …

Phytochemical Analysis And In Vivo Anticancer Effect Of Becium Grandiflorum: Isolation And Characterization Of A Promising Cytotoxic Diterpene, Christeen Fahim, Maha R. A. Abdollah, Rola Milad, Nehal Sabry, Noha Swilam

Pharmacy

Background:Becium grandiflorum is a fragrant perennial shrub of the Lamiaceae family. Objectives: The current study aimed to explore the cytotoxic potential of the nhexane fraction from Becium grandiflorum aerial parts and, further, isolate its major diterpene and conduct in vitro and in vivo anticancer activities along with its molecular mechanism and synergy with doxorubicin. Methods: The hydroalcoholic extract of Becium grandiflorum aerial parts was fractionated, and the n-hexane fraction was analyzed via GC-MS. The major isolated diterpene, 18-epoxy-pimara-8(14),15-diene (epoxy-pimaradiene), was quantified using UPLC-PDA. Cytotoxicity assays were conducted on HCT-116, MCF-7, MDA-MB- 231, and HepG2 cell lines. The synergistic effect with …

Effects Of Space Flight On Inflammasome Activation In The Brain Of Mice, Upal Roy, Roey Hadad, Angel A. Rodriguez, Alen Saju, Deepa Roy, Mario Gil, Robert W. Keane, Ryan T. Scott, Xiao W. Mao, Juan Pablo De Rivero Vaccari

Health & Biomedical Sciences Faculty Publications

Space flight exposes astronauts to stressors that alter the immune response, rendering them vulnerable to infections and diseases. In this study, we aimed to determine the levels of inflammasome activation in the brains of mice that were housed in the International Space Station (ISS) for 37 days. C57BL/6 mice were launched to the ISS as part of NASA’s Rodent Research 1 Mission on SpaceX-4 CRS-4 Dragon cargo spacecraft from 21 September 2014 to 25 October 2014. Dissected mouse brains from that mission were analyzed by immunoblotting of inflammasome signaling proteins and Electrochemiluminescence Immunoassay (ECLIA) for inflammatory cytokine levels. Our data …

Fusionpub, A Therapeutic Landscape Of Human Fusion Genes, Himansu Kumar, Abayomi Adegunlehin, Zikang Chen, Pora Kim

Faculty, Staff and Student Publications

To advance the development of fusion protein-targeting therapeutics, it is crucial to understand how patients with fusion oncoproteins have been treated and what small molecules have been studied. To fill this gap, we developed FusionPub, a knowledgebase of the therapeutic landscape of human fusion genes. We searched PubMed abstracts for 107K human fusion genes with 14K drugs. We also searched PubMed abstracts for 18K human fusion proteins, considering all gene synonyms of individual partner genes with 14K drugs. After manual curation, we found 17 342 records from 9623 PubMed abstracts. For these fusion genes and drugs, we provide a summary …

Connectome-Based Predictive Modeling Of Ptsd Development Among Recent Trauma Survivors, Ziv Ben-Zion, Alexander J Simon, Matthew Rosenblatt, Nachshon Korem, Or Duek, Israel Liberzon, Arieh Y Shalev, Talma Hendler, Ifat Levy, Ilan Harpaz-Rotem, Dustin Scheinost

Staff and Researcher Publications

Importance: The weak link between subjective symptom-based diagnostics for posttraumatic psychopathology and objective neurobiological indices hinders the development of effective personalized treatments.

Objective: To identify early neural networks associated with posttraumatic stress disorder (PTSD) development among recent trauma survivors.

Design, setting, and participants: This prognostic study used data from the Neurobehavioral Moderators of Posttraumatic Disease Trajectories (NMPTDT) large-scale longitudinal neuroimaging dataset of recent trauma survivors. The NMPTDT study was conducted from January 20, 2015, to March 11, 2020, and included adult civilians who were admitted to a general hospital emergency department in Israel and screened for early PTSD symptoms indicative …

Infection-Related Hospitalization And Incident Heart Failure: The Atherosclerosis Risk In Communities Study, Rebecca L Molinsky, Amil Shah, Melana Yuzefpolskaya, Bing Yu, Jeffrey R Misialek, Bruno Bohn, David Vock, Richard Maclehose, Barry A Borlaug, Paolo C Colombo, Chiadi E Ndumele, Junichi Ishigami, Kunihiro Matsushita, Pamela L Lutsey, Ryan T Demmer

Faculty, Staff and Student Publications

Background: The immune response to infections may become dysregulated and promote myocardial damage contributing to heart failure (HF). We examined the relationship between infection-related hospitalization (IRH) and HF, HF with preserved ejection fraction, and HF with reduced ejection fraction.

Methods and results: We studied 14 468 adults aged 45 to 64 years in the ARIC (Atherosclerosis Risk in Communities) Study who were HF free at visit 1 (1987-1989). IRH was identified using select International Classification of Diseases (ICD) codes in hospital discharge records and was treated as a time-varying exposure. HF incidence was defined as the first occurrence …

Precision Data-Driven Modeling Of Cortical Dynamics Reveals Person-Specific Mechanisms Underpinning Brain Electrophysiology, Matthew F Singh, Todd S Braver, Michael Cole, Shinung Ching

2020-Current year OA Pubs

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions. We extensively validate the models' performance in forecasting future brain activity and predicting individual variability in key M/EEG metrics. Last, we demonstrate the power of our …

Preparation And Characterization Using A New Schiff Base Ligand Derived From Benzoyl Isothiocyanate With Their Complexes And Study Of Their Biological Activity, Zaynab Faleh Ai-Janahi, Mohammed Hamid Said

Al-Mustaqbal Journal of Pharmaceutical and Medical Sciences

Complexes containing Nickel, Copper, and Zinc salts were prepared and studied in this study. Additionally, novel Schiff Base ligands were synthesized by reacting 6-aminopenicillinic acid with benzoyl isothiocyanate to produce L. The synthesized ligand was evaluated by physical measures and spectroscopic methods such as Fourier transform infrared spectroscopy, nuclear magnetic resonance, ultraviolet-visible light, mass spectroscopy, and micro elemental analysis. Metal salts of (Ni(II), Cu(II), and Zn(II)) were combined with novel ligands at a molar ratio of 1:2 [M:L] to prepare the complexes. Spectroscopic, magnetic susceptibility, molar conductivity, atomic absorption, and DTA methods were used to study the complexes that were …

Brain On Drugs: The Rewarding And Punishing Effects Of Addiction And Relapse, Abby Ferrell

Undergraduate Honors Theses

Addiction is a multidimensional disorder that is heavily influenced by behavior, biology, and social interaction. These factors work together to make addiction persist and make relapse easier. Three major models of addiction are explored--behaviorism, biology, and social learning theory, which all contribute to the understanding of addiction, and their respective treatments can be individual, and when integrated. Behavior models highlight how conditioning and reinforcement contribute to addiction, while biological studies focus on dopamine changes in the brain that alter other areas of brain chemistry. Social learning theories add to the environmental cue associations that behaviorism mentions briefly. The implications that …

Tryptophan Kynurenine Pathway-Based Imaging Agents For Brain Disorders And Oncology-From Bench To Bedside, Erik Stauff, Wenqi Xu, Heidi H. Kecskemethy, Sigrid A. Langhans, Vinay V. R. Kandula, Lauren W. Averill, Xuyi Yue

Jefferson Hospital Staff Papers and Presentations

Tryptophan (Trp)-based radiotracers have excellent potential for imaging many different types of brain pathology because of their involvement with both the serotonergic and kynurenine (KYN) pathways. However, radiotracers specific to the kynurenine metabolism pathway are limited. In addition, historically Trp-based radiopharmaceuticals were synthesized with the short-lived isotope carbon-11. A newer generation of Trp-based imaging agents using the longer half-lived and commercially available isotopes, such as fluorine-18 and iodine-124, are being developed. The newly developed amino acid-based tracers have been demonstrated to have favorable radiochemical and imaging characteristics in pre-clinical studies. However, many barriers still exist in the clinical translation of …

Investigating The Role Of Prostasin In Angiogenesis: A Chorioallantoic Membrane Model Approach, Zaima Aline

Honors Undergraduate Theses

Prostasin, also known as PRSS8 or CAP1, is a glycosylphosphatidylinositol (GPI)-anchored extracellular serine protease involved in various physiological and pathophysiological processes. Prostasin expression is observed during key phases of trophoblast invasion and placental development, critical steps in embryo implantation in Rhesus monkeys. This suggests a role for prostasin in extracellular matrix remodeling and tissue invasion, both essential for a healthy pregnancy. Moreover, prostasin appears vital for development as studies in mice show that a germline knockout of the gene leads to significant placental defects and eventual embryonic death, highlighting its importance in vascular and structural development within the placenta.

Building …

Mapping The Functional Network Of Human Cancer Through Machine Learning And Pan-Cancer Proteogenomics, Zhiao Shi, Jonathan T Lei, John M Elizarraras, Bing Zhang

Faculty, Staff and Students Publications

Large-scale omics profiling has uncovered a vast array of somatic mutations and cancer-associated proteins, posing substantial challenges for their functional interpretation. Here we present a network-based approach centered on FunMap, a pan-cancer functional network constructed using supervised machine learning on extensive proteomics and RNA sequencing data from 1,194 individuals spanning 11 cancer types. Comprising 10,525 protein-coding genes, FunMap connects functionally associated genes with unprecedented precision, surpassing traditional protein-protein interaction maps. Network analysis identifies functional protein modules, reveals a hierarchical structure linked to cancer hallmarks and clinical phenotypes, provides deeper insights into established cancer drivers and predicts functions for understudied cancer-associated …

Decoding Tattoo And Permanent Makeup Pigments: Linking Physicochemical Properties To Absorption, Distribution, Metabolism, And Elimination Profiles Using Quantitative Structure-Activity Relationship (Qsar)-Based New Approach Methodologies (Nams), Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

The safety and quality of tattoo and permanent makeup (PMU) pigments are subject to increased scrutiny due to their potential to cause adverse effects like anaphylaxis, photoallergic responses, and long-term toxicity. These undesirable reactions governed by their chemical structure possess varied physicochemical properties and absorption, distribution, metabolism, and elimination (ADME) characteristics. These properties control the pigment behavior during application, stability, and interaction with human tissue. The correlation between these physicochemical characteristics and ADME parameters of tattoo/PMU pigments remain under-explored despite the current advances in toxicology. Our study aims to address and bridge the gap by leveraging open-access QSAR computational toxicology …