Digital Commons Network^™

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model To Predict Late Xerostomia In Patients With Head And Neck Cancer, Hung Chu, Suzanne P M De Vette, Hendrike Neh, Nanna M Sijtsema, Roel J H M Steenbakkers, Amy Moreno, Johannes A Langendijk, Peter M A Van Ooijen, Clifton D Fuller, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland doses. This study aimed to improve the prediction of late xerostomia by using 3-dimensional information from radiation dose distributions, computed tomography imaging, organ-at-risk segmentations, and clinical variables with deep learning (DL).

Methods and materials: An international cohort of 1208 patients with head and neck cancer from 2 institutes was used to train and twice validate DL models (deep convolutional neural network, EfficientNet-v2, and ResNet) with 3-dimensional dose distribution, …

Deep Dive Into Targeted Therapies: Understanding Idh1-Mutant Aml Treatments [Podcast], Amer M Zeidan, Courtney Dinardo

Faculty, Staff and Student Publications

This podcast episode reviews recent advances in the treatment of IDH1-mutant acute myeloid leukemia (AML), focusing on the mechanisms, efficacy, and safety profiles of approved IDH1 inhibitors. The purpose is to present expert insights and clinical data from key trials that underscore the clinical benefits of these targeted therapies. Through discussion of key findings from pivotal clinical trial studies, including data supporting the use of these agents in both newly diagnosed and relapsed or refractory (R/R) settings, the episode highlights significant outcomes such as increased overall response and prolonged duration of remission in patients treated with IDH1 inhibitors. The analysis …

Benchmarking And Improving Foundation Model Dietary Estimates From Meal Images, Yongcheng Mu, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Accurate quantifying dietary contents, such as calories, proteins, carbohydrates, and fats, from an image of a meal plate is vital for managing diabetes. Recently, Large Multimodal Models (LMMs) have excelled in complex vision-language tasks due to their use of very large, highly diverse data. This study benchmarked the use of seven LMMs that include full and lightweight models of GPT, Gemini, and Llama for nutrition estimation based on Google's Nutrition5k dataset and our own phone-collected DonateAndLearn dataset. We analyzed the performance of LMMs and the RGB-D fusion model, in which the RGB-D model was specifically trained using Nutrition5k data. On …

Proteomics Profiling Of Research Models For Studying Pancreatic Ductal Adenocarcinoma, Mathilde Resell, Hanne-Line Rabben, Animesh Sharma, Lars Hagen, Linh Hoang, Nan T. Skogaker, Anne Aarvik, Eirik Knudsen Bjåstad, Magnus K. Svensson, Manoj Amrutkar, Caroline S. Verbeke, Surinder K. Batra, Gunnar Qvigstad, Timothy C. Wang, Anil Rustgi, Duan Chen, Chun-Mei Zhao

Journal Articles: Biochemistry & Molecular Biology

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival rate of 10-15% due to late-stage diagnosis and limited efficacy of existing treatments. This study utilized proteomics-based systems modelling to generate multimodal datasets from various research models, including PDAC cells, spheroids, organoids, and tissues derived from murine and human samples. Identical mass spectrometry-based proteomics was applied across the different models. The preparation and validation of the research models and the proteomics were described in detail. The assembly datasets we present here contribute to the data collection on PDAC, which will be useful for systems modelling, …

Metabolic And Proteomic Signatures Differentiate Inflammatory Phenotypes From Cancer And Predict Treatment Response In Patient Sera, Gabriel Cutshaw, Elena V. Demidova, Philip Czyzewicz, Elizabeth Quam, Nicole Lorang, Al Warith Al Siyabi, Surinder K. Batra, Sanjeevani Arora, Rizia Bardhan

Journal Articles: Biochemistry & Molecular Biology

Tumors shift their metabolic needs to enable uncontrolled proliferation. Therefore, metabolic assessment of cancer patient sera provides a significant opportunity to noninvasively monitor disease progression and enable mechanistic understanding of the pathways that lead to response. Here, we show Raman spectroscopy (RS), a highly sensitive and label-free analytical tool, is effective in metabolic profiling across diverse cancer types in patient sera from both pancreatic ductal adenocarcinoma (PDAC) and locally advanced rectal cancer (LARC). We also combine metabolic data with proteomic signatures to predict treatment response. Our data show RS peaks successfully differentiate PDAC patients from healthy controls. Peaks associated with …

Brightly Visualizing Pancreatic Cancer Margins In Orthotopic Mouse Models With An Anti-Ca19-9 Antibody Conjugated To A Near-Infrared Fluorophore, Kristin E. Cox, Javier Bravo, Sunidhi Jaiswal, Siamak Amirfakhri, Thinzar M. Lwin, Abhijit Aithal, Sumbal Talib, Lily J. Jih, Aylin Din Parast Saleh, Keita Kobayashi, Kavita Mallya, Maneesh Jain, Robert M. Hoffman, Aaron M. Mohs, Surinder K. Batra, Michael Bouvet

Journal Articles: Biochemistry & Molecular Biology

Background/Purpose: The only potentially curative procedure for pancreatic cancer is R0 resection, which is difficult to achieve due to poorly defined tumor margins. In the present study, we used an anti-CA19-9 antibody conjugated to a near-infrared fluorophore in orthotopic mouse models to target and visualize pancreatic cancer. Methods: Orthotopic models of the human pancreatic cancer cell lines SW1990 and BxPC3 were established by implanting tumor fragments into the pancreas of athymic nude mice. Anti-CA19-9 and control IgG were conjugated with IRDye800CW. Mice received 50 µg of CA19-9-IRDye800CW or IgG-IRDye800CW via tail-vein injection and were imaged after 72 h. MIA PaCa-2, …

Niclosamide Nanoparticles Enhance Pancreatic Cancer Sensitivity To Gemcitabine Via Hif-1Α Inhibition, Susheel Kumar Nethi, Venugopal Gunda, Nagabhishek Sirpu Natesh, Brianna M. White, Adam S. Mullis, Balaji Narasimhan, Surinder K. Batra, Surya K. Mallapragada, Satyanarayana Rachagani

Journal Articles: Biochemistry & Molecular Biology

Pancreatic cancer (PC) exhibits profound metabolic adaptations that support tumor progression, survival, and therapy resistance. Hypoxia-inducible factor-1α (HIF-1α) is a key regulator of these processes, promoting metabolic reprogramming and chemoresistance. Given that mitochondrial metabolites modulate HIF-1α stability, targeting mitochondrial metabolism offers a promising therapeutic strategy. Niclosamide (Nic), a clinically approved anthelmintic, disrupts mitochondrial function but is limited by poor bioavailability. To overcome this, we developed polyanhydride-based Nic nanoparticles (NicNps) to enhance bioavailability and efficacy. NicNps impaired mitochondrial function, suppressed metabolism, downregulated HIF-1α, and inhibited growth of PC cells and orthotopic gemcitabine (Gem)-resistant mouse tumor models. Notably, NicNps combined with Gem …

Diastolic Dysfunction With Vascular Deficits In Hiv-1-Infected Female Humanized Mice Treated With Antiretroviral Drugs, Fadhel A. Alomar, Prasanta K. Dash, Mahendran Ramasamy, Zachary L. Venn, Sean R. Bidasee, Chen Zhang, Bryan T. Hackfort, Santhi Gorantla, Keshore R. Bidasee

Journal Articles: Cellular & Integrative Physiology

Early-onset heart failure is a major treat to healthy aging individuals with HIV-1 infection. Women with HIV-1 infection (WLWH) are especially vulnerable and develop heart failure with preserved ejection fraction (HFpEF), of which left ventricular diastolic dysfunction, vascular deficits, myocardial infarction, and fibrosis are major components. HIV-infected rodent models that exhibit these pathophysiological features remain under-reported, and this has left a void in our understanding of their molecular causes and therapeutic strategies to blunt its development. Here, we show that female NOD.Cg-Prkdc^scidIl2rgt^m1Wjl/SzJ humanized mice (Hu-mice) infected with HIV-1_ADA and treated for 13 weeks with dolutegravir …

Development Of The Mechanoresponsive Pericellular Matrix Of Chondrons, Donghee Lee, Sydney E. Greer, Andrew T. Dudley

Journal Articles: Genetics, Cell Biology & Anatomy

Physical properties of cartilage are conferred by the composition and ultrastructure of the extracellular matrix. This study focuses on the development of the pericellular matrix (PCM), a domain that directly contacts the chondrocyte and is a key regulator of biomechanical and biochemical signaling. Using three-dimensional cell culture, microfluidic cell compression platforms, and genetic mouse models, we demonstrated that collagen VI is initially assembled at the cell surface and then displaced to form a shell at the PCM-territorial matrix boundary. Cell surface-bound hyaluronan is crucial for the assembly process, and hyaluronan-aggrecan complexes drive displacement. Integrin adhesion is not required early but …

Fiber Photometry Analysis Of Spontaneous Dopamine Signals: The Z-Scored Data Are Not The Data, Conner W. Wallace, Clare Y. Slinkard, Rachael Shaughnessy, Katherine M. Holleran, Samuel W. Centanni, Christopher C. Lapish, Sara R. Jones

Department of Medicine Faculty Publications

Fluorescent sensors have revolutionized the measurement of molecules in the brain, and the dLight dopamine sensor has been used extensively to examine reward- and cue-evoked dopamine release, but only recently has the field turned its attention to spontaneous release events. Analysis of spontaneous events typically requires evaluation of hundreds of events over minutes to hours, and the most common method of analysis, z-scoring, was not designed for this purpose. Here, we compare the accuracy and reliability of three different analysis methods to identify pharmacologically induced changes in dopamine release and uptake in freely moving C57BL/6J mice. The D1-like receptor antagonist …

Synthesis And Design Of Clpp Activators As Novel Antibiotics, Schyler Odum

Theses and Dissertations (ETD)

Purpose. Design and synthesize novel compounds to treat Staphylococcus aureus infections by targeting the dysregulation of the Casein Protease P, ClpP. Methods. Utilize established chemical methods to synthesize ureadepsipeptides, small-molecule ClpP activators, and ureadepsipeptide hybrids. Assess their effectiveness by using minimum inhibitory concentration assays and in vitro biochemical assays for ClpP activation. Explore their potential as antibiotics through mitochondrial toxicity tests, glucose/galactose assays, and biophysical measurements related to metabolism and clearance, including thermal shift and surface plasmon resonance assays. Results. Synthesized and tested 33 novel compounds, comprising a total of 80 synthetic steps. Conclusion. The three-part conclusion from the dissertation …

The Characterization Of Il-27 Production And Its Impact On T Cell Antigen-Specificity And Diversity In A Neonatal Bcg Vaccination Model, Ashley M. Divens

Graduate Theses, Dissertations, and Problem Reports (ETD)

Tuberculosis (TB) is caused by Mycobacterium tuberculosis (Mtb), and it has plagued humans for most of recorded history. Despite strong efforts to prevent and treat TB, it remains the leading cause of death due to a pathogen and is most prevalent in certain regions of Asia and Africa. Currently, the only approved vaccine to prevent TB is the live-attenuated Bacillus Calmette-Guérin (BCG) vaccine. Most countries have a universal BCG vaccination policy, but the vaccine ultimately fails to be protective. The BCG vaccine is most effective in children and protects against disseminated TB, but protection wanes 10-15 years after vaccination causing …

Inferred Developmental Origins Of Brain Tumors From Single-Cell Rna-Sequencing Data, Su Wang, Rachel Naomi Curry, Malcolm F Mcdonald, Hyun Yong Koh, Anders W Erickson, Claudia L Kleinman, Michael D Taylor, Ganesh Rao, Benjamin Deneen, Arif O Harmanci, Akdes Serin Harmanci

Faculty, Staff and Students Publications

Background: The reactivation of neurodevelopmental programs in cancer highlights parallel biological processes that occur in both normal development and brain tumors. Achieving a deeper understanding of how dysregulated developmental factors play a role in the progression of brain tumors is therefore crucial for identifying potential targets for therapeutic interventions. Single-cell RNA-sequencing (scRNA-Seq) provides an opportunity to understand how developmental programs are dysregulated and reinitiated in brain tumors at single-cell resolution. The aim of this study is to identify the developmental origins of brain tumors using scRNA-Seq data.

Methods: Here, we introduce COORS (Cell Of ORigin like CellS), a computational tool …

Quality Of Life Is Impaired In Shrimp Allergic Adults And Caregivers, Melissa L Hearrell, Sara Anvari, Sharon Chinthrajah, Sana Hasan, David P Huston, Evan Li, Chen-Hsing Lin, Edwin Kim, Andreas L Lopata, Sarbjit Singh Saini, Sayantani Sindher, Panida Sriaroon, Bin Su, Julie Wang, Carla M Davis

Faculty, Staff and Students Publications

Rationale: Shrimp (Litopenaeus vannamei) allergies (SA) can result in allergic reactions ranging from life threatening severe anaphylaxis to oral allergy syndrome. SA may pose lifestyle restrictions on daily life and interfere with social relationships and school performance, but this has not been thoroughly investigated. We examined the QoL in SA adults and caregivers.

Methods: A QoL online questionnaire adapted from the validated Food Allergy Quality of Life Questionnaire (FAQLQ) was administered between September 30, 2023-July 15, 2024 to adults and caregivers of at least one SA child. Descriptive statistics, Wilcoxon rank sum test, and Fisher exact test were …

Mutations In Retinal Cyclic Nucleotide-Gated Channels Identified In Familial Cases Of Inherited Retinal Dystrophies From Pakistan, Zainab Akhtar, Kiran Afshan, Yumei Li, Sumaira Altaf, Aleesha Asghar, Ume Sughra, Wajid Ali Khan, Haiba Kaul, Rui Chen, Sabika Firasat

Faculty, Staff and Students Publications

Purpose: Cyclic nucleotide-gated (CNG) channels are ligand-gated ion channels that transduce light signals into electrical signals in the retinal photoreceptors. Pathogenic variants in CNG channel genes are reported to cause inherited retinal dystrophies (IRDs). The current study used targeted panel sequencing to describe the mutational spectrum of CNG channel genes in familial cases of IRDs from eight consanguineous Pakistani families.

Methods: The current study included consanguineous Pakistani families with at least two affected members. DNA was extracted from whole blood samples by the phenol-chloroform method. Two affected members from each family were initially analyzed using targeted panel sequencing of 344 …

Folate Receptor Β Performs An Immune Checkpoint Function In Activated Macrophages, Fenghua Zhang, Md Yusuf Al-Amin, Sagar Utturkar, Rina Jiang, Gregory Cresswell, Rami Alfar, Ian Ophaug-Johansen, Gabriel Bachman, Madduri Srinivasarao, Richard Finnell, Amaya Puig-Kröger, Timothy Ratliff, Philip S Low

Faculty, Staff and Students Publications

Monocytes and macrophages are sentinels of the immune system that distinguish themselves from other cells by expressing the beta isoform of the folate receptor (FRβ). Because FRβ does not bind folate until the monocyte/macrophage is exposed to immunosuppressive cytokines, the question naturally arose whether FRβ might also perform an immune-related function. To examine this matter, we compared the properties of wild type (WT) and FRβ knockout mice. We observe that FRβ knockout (KO) mice display autoimmune symptoms that can include alopecia, enlarged spleens, and dermatitis, despite having normal cellular folate levels. We further demonstrate that syngeneic tumors (TRAMP C2, MC38) …

Id-Gba: Subgraph Extension With Information Distance Guilt By Association In Complex Networks, Predrag Obradovic, Vladimir Kovacevic, Aleksandar Milosavljevic, Varduhi Petrosyan

Faculty, Staff and Students Publications

Here, we introduce the ID-GBA (Information Distance Guilt By Association) method to expand highly connected sets of nodes by deploying a novel algorithm for subgraph extension based on the guilt-by-association principle and information distance. In this study, ID-GBA was utilized to expand disease clusters, and identify novel disease genes. We first validate its ability to expand related disease sets from disease/disease graphs built using Open Targets' gene association scores. We then analyze disease/control gene expression networks and show that ID-GBA recaptures known disease genes in nine disease/control graphs. Compared to existing methods such as Random Walk with Restarts and Personalized …

Bayesian Covariate-Dependent Circadian Modeling Of Rest-Activity Rhythms, Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci

Faculty, Staff and Students Publications

We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected via wrist-worn wearable devices. The proposed approach integrates covariates into the modeling of the amplitude and phase parameters, facilitating cohort-level analysis with enhanced flexibility and interpretability. To promote model sparsity, we employ an l1-ball projection prior, enabling precise control over complexity while identifying significant predictors. We assess performances on simulated data and then apply the method to real-world actigraphy data from people with epilepsy. Our results demonstrate the model’s effectiveness in uncovering complex relationships among demographic, psychological, and medical factors influencing rest-activity rhythms, offering insights for …

Epilepsy Clinic Analytics: Leveraging Emr Reporting Tools To Characterize Center Volume And Complexity, Vanuli Arya, Arindam Ghosh Mazumder, Muna Nnamani, Mark A Abboud, Samuel C Lee, Michael S Guzman, Vaishnav Krishnan

Faculty, Staff and Students Publications

Introduction: Epilepsy centers connect patients to multidisciplinary provider groups that can coordinate surgical interventions and/or investigational treatments. Automated techniques to cross-sectionally review patient volume and complexity may reveal objective metrics to assign appropriate personnel and resources. Here, we leveraged an electronic medical record (EMR) reporting tool to examine how patient and visit volumes, antiseizure medication (ASM) prescriptions and neuromodulation use evolved over an 11-year epoch at a single level 4 adult epilepsy center in Texas, USA.

Methods: Using Epic Workbench Reporting, we acquired the dates of (i) all clinic visits (office or telemedicine), (ii) CPT codes for neuromodulation interrogation/programming, and …

Cadherin 1 Germline Mutation Co-Occurs With Medullary Thyroid Cancer And Choroid Plexus Papilloma: A Case Report And Review Of Literature, Vijay Nitturi, Sricharan Gopakumar, Hsiang-Chih Lu, Akash J Patel

Faculty, Staff and Students Publications

Background: We describe the case of a 23-year-old woman with a history of medullary thyroid cancer (MTC) who presented with a choroid plexus papilloma (CPP) and review the literature regarding the co-occurrence of these two pathologies.

Case description: A 23-year-old woman with a history of MTC treated with thyroidectomy 3 months prior was referred to neurosurgery with an incidental fourth ventricular mass found on prior imaging of her neck. She presented to the clinic with intermittent headaches and underwent MRI which demonstrated a hyperintense, heterogeneously enhancing lobular mass at the obex of the fourth ventricle. She underwent suboccipital craniotomy and …

Leveraging Human Microbiomes For Disease Prediction And Treatment, Henok Ayalew Tegegne, Tor C Savidge

Faculty, Staff and Students Publications

The human microbiome consists of diverse microorganisms that inhabit various body sites. As these microbes are increasingly recognized as key determinants of health, there is significant interest in leveraging individual microbiome profiles for early disease detection, prevention, and drug efficacy prediction. However, the complexity of microbiome data, coupled with conflicting study outcomes, has hindered its integration into clinical practice. This challenge is partially due to demographic and technological biases that impede the development of reliable disease classifiers. Here, we examine recent advances in 16S rRNA and shotgun-metagenomics sequencing, along with bioinformatics tools designed to enhance microbiome data integration for precision …

A New Interpolated Pseudodifferential Preconditioner For The Helmholtz Equation In Heterogeneous Media, Sebastian Acosta, Tahsin Khajah, Benjamin Palacios

Faculty, Staff and Students Publications

This paper introduces a new pseudodifferential preconditioner for the Helmholtz equation in variable media with absorption. The pseudodifferential operator is associated with the multiplicative inverse to the symbol of the Helmholtz operator. This approach is well suited for the intermediate and high-frequency regimes. The main novel idea for the fast evaluation of the preconditioner is to interpolate its symbol, not as a function of the (high-dimensional) phase-space variables, but as a function of the wave speed itself. Since the wave speed is a real-valued function, this approach allows us to interpolate in a univariate setting even when the original problem …

Atherogenic Lipoproteins Associate With Loss Of Glycemic Control In Youth-Onset Type 2 Diabetes: Results From The Today Study, Lorraine E Levitt Katz, Samuel S Gidding, James D Otvos, Kimberly L Drews, Fida Bacha, Steven Willi, Santica Marcovina, Siripoom Mckay, Ruth S Weinstock, Today Study Group

Faculty, Staff and Students Publications

Background: Type 2 diabetes (T2D) in adolescents is associated with an unfavorable lipid profile, but lipoprotein particle subspecies and branched-chain amino acid (BCAA) data are scarce.

Objective: To evaluate lipoprotein particle distributions, lipoprotein insulin resistance index (LP-IR), and BCAA levels longitudinally and their relationships with sex, race/ethnicity, treatment, and loss of glycemic control in adolescents with youth-onset T2D.

Methods: Participants from the TODAY study (n = 348) had samples analyzed yearly for glycated hemoglobin and nuclear magnetic resonance lipoprotein and BCAA assessments.

Results: At baseline, participants with T2D were 13.7 years old with T2D, obesity, and from racial and ethnic …

Refinement Of A Published Gene-Physical Activity Interaction Impacting Hdl-Cholesterol: Role Of Sex And Lipoprotein Subfractions, Kenneth E Westerman, Tuomas O Kilpeläinen, Magdalena Sevilla-Gonzalez, Margery A Connelly, Alexis C Wood, Michael Y Tsai, Kent D Taylor, Stephen S Rich, Jerome I Rotter, James D Otvos, Amy R Bentley, Samia Mora, Hugues Aschard, D C Rao, Charles Gu, Daniel I Chasman, Alisa K Manning

Faculty, Staff and Students Publications

Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C). We explored this GxE in the Women’s Genome Health Study (WGHS; N=23,294; the strongest cohort-specific signal in the original meta-analysis), the UK …

The Treatment Naïve Microbiome Of Pediatric Ulcerative Colitis And Microbial Therapeutics: A Humbling Challenge, Richard Kellermayer

Faculty, Staff and Students Publications

No abstract provided.

Glutamatergic Lateral Habenula Neurons Modulate Consolidation Of Associative Memories, Snigdha Srivastava, I-Ching Wang, Mikhail Y Kochukov, Jessica L Swanson, Mauro Costa-Mattioli, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

INTRODUCTION: Despite the rise in psychiatric disorders worldwide, the underlying brain circuits responsible for these devastating conditions remain elusive. The lateral habenula (LHb) has emerged as a key brain structure in depression studies due to its hyperactive state in both patients and animal models. While this aligns with known roles in driving aversive states and regulating serotonin release, it is still unclear how acute and transient activity changes in the LHb can influence higher order cognitive processes such as learning, memory, and behavioral adaptation. Given the importance of these processes to psychiatric conditions, understanding how LHb activity impacts cognitive function …

When Families Bridge The Research-Clinical Divide: An Exploration Of Values Regarding Cascade Screening In Genomic Research, Katherine E Bonini, Lauren R Desrosiers-Battu, Ann Katherine M Foreman, Nuriye N Sahin-Hodoglugil, Mary A Majumder, Candice R Finnila, Stephanie A Kraft, Laura M Amendola, Eimear E Kenny, Stephanie M Fullerton, Sara L Ackerman, Benjamin S Wilfond, Amy L Mcguire, Hadley Stevens Smith

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Genetic results are important for both patients and their biological relatives. However, cascade screening (CS) uptake is low, especially when testing occurs through research programs and not clinical care. Ethical guidance is needed for CS implementation when individuals receive clinical genetic results through research.

Methods: We conducted focus groups with 3 groups of individuals in the Clinical Sequencing Evidence-Generating Research Consortium: clinicians, patient representatives, and scholars of the ethical, legal, and social implications of genomics. We used inductive thematic and comparative analyses to analyze data within and across the groups.

Results: All participants (n = 27) agreed that …

Modeling Functional Connectivity With Learning And Memory In A Mouse Model Of Alzheimer’S Disease, Lindsay Fadel, Elizabeth Hipskind, Steen E Pedersen, Jonathan Romero, Caitlyn Ortiz, Eric Shin, Md Abul Hassan Samee, Robia G Pautler

Faculty, Staff and Students Publications

Introduction: Functional connectivity (FC) is a metric of how different brain regions interact with each other. Although there have been some studies correlating learning and memory with FC, there have not yet been, to date, studies that use machine learning (ML) to explain how FC changes can be used to explain behavior not only in healthy mice, but also in mouse models of Alzheimer's Disease (AD). Here, we investigated changes in FC and their relationship to learning and memory in a mouse model of AD across disease progression.

Methods: We assessed the APP/PS1 mouse model of AD and wild-type controls …

The Central Role For Troponin C Amino-Terminal ⍺-Helix In Vertebrate Thin Filiment Ca²⁺-Activation, Yun Shi, Lauren A. Blackwell, Ryan K. Schroy, B. Max Cleland, Cristina M. Risi, Michelle S. Parvatiyar, Jose R. Pinto, Vitold E. Galkin, P. Bryant Chase

Department of Biomedical and Translational Sciences Faculty Publications

Troponin C (TnC) is the Ca²⁺-sensing subunit of troponin that is responsible for activating thin filaments in striated muscle, and, in turn, for regulating the systolic and diastolic contractile function of cardiac muscle. The secondary structure of vertebrate TnC is mainly composed of α-helices, with nine helices named sequentially, starting from the amino terminus, from N to A–H. The N-helix is a 12-residue-long α-helix located at the extreme amino terminus of the protein and is the only helical structure that does not participate in forming Ca²⁺-binding EF-hands. Evolutionarily, the N-helix is found only in TnC from mammalian species and most …

Codon Composition In Human Oocyters Reveals Age-Associated Defects In Mrna Decay, Pavla Brachova, Lane K. Christenson, Nehemiah S. Alvarez

Department of Biomedical and Translational Sciences Faculty Publications

Oocytes from women of advanced reproductive age exhibit diminished developmental potential, but the underlying mechanisms remain incompletely defined. Oocyte maturation depends on translational control of maternal mRNA synthesized during growth. We performed a computational analysis on human oocytes from women < 30 versus ≥40 years and observed that mRNA GC content correlates negatively with half-life in oocytes from young (< 30 yr) but positively with oocytes from aged (>40 yr) women. In young oocytes, longer mRNA half-life is associated with lower protein abundance, whereas in aged oocytes GC content correlates positively with protein abundance. During the GV-to-MII transition, codon composition stratifies stability: codons that support rapid translation (optimal) stabilize mRNA, while slow-translating codons (non-optimal) promote decay. With reproductive aging, GC-containing codons become more optimal and align with increased …