Digital Commons Network^™

Exploring Spike-Dependent And Ace2-Independent Sars-Cov-2 Interactions With Salivary Epithelial Cells In The Absence Of Ace2, Caitlynn M L Barrows, Thaise C Geremias, Simon Young, Mary C Farach-Carson

Faculty, Staff and Student Publications

Salivary gland infection by SARS-CoV-2 requires viral entry via routes and mechanisms that remain unresolved. This study examined the expression of the angiotensin-converting enzyme 2 (ACE2) receptor in salivary tissues and basal cell-derived human salivary progenitor cells (hS/PCs), an unstudied potential entry point for SARS-CoV-2. Multiple detection modalities, including immunocytochemistry, Western blotting, flow cytometry and RT-PCR, demonstrated a consistent lack of ACE2 protein and transcript in both tissue specimens and primary salivary epithelial cells. Antigen retrieval at pH 9 was determined to be optimal for immunodetection protocols, yet ACE2 remained undetectable. Small intestine tissue served as a positive control, confirming …

Cardiac Hdac3 Disruption Contributes To Hdac Inhibitor-Induced Qt Prolongation, Jiao Lu, Christopher Ward, Sichong Qian, Lilei Zhang, Jiang Chang, Zheng Sun

Faculty, Staff and Students Publications

Histone deacetylase (HDAC) inhibitors are approved for cancer treatment and are being investigated for a wide range of other diseases. Despite their therapeutic promise, clinical studies have reported cardiac side effects, particularly electrocardiogram (EKG) abnormalities, with QT interval prolongation being one of the most consistently reported findings. The mechanisms underlying these cardiac effects remain unclear. In this study, we investigated the role of HDAC3 in cardiac electrophysiology. We found that postnatal depletion of cardiac HDAC3 in mice caused QT interval prolongation, recapitulating the EKG abnormalities reported with HDAC inhibitor use. Adult-onset inducible depletion of cardiac HDAC3 induced additional EKG abnormalities, …

Selective And Differential Roles Of Pvhcrh Neurotransmitters In Diet-Induced Obesity In Mice, Zhiying Jiang, Yuhan Cao, Michelle He, Cunjin Su, Runzhou Yang, Maojie Yang, Jing Cai, Hongli Li, Yuanzhong Xu, Shi-Bin Li, Hiroshi Yamaguchi, Luis De Lecea, Benjamin R Arenkiel, Qingchun Tong

The Brown Foundation: Institute of Molecular Medicine

Stress and diet are known to synergistically promote risks of obesity but the underlying neural basis remains elusive. Corticotropin-releasing hormone neurons in the paraventricular hypothalamus (PVHCRH) are stress responsive and release both CRH and glutamate. Here we generated a mouse model with gain or loss of release in CRH or glutamate from PVHCRH neurons. While these models showed no changes in body weight when fed chow, they exhibited contrasting effects when fed high-fat high-caloric diets (HFD). Whereas disrupting glutamate release from PVHCRH neurons led to diet-induced obesity (DIO), that of CRH caused no impact. Conversely, augmented CRH release led to …

A Lifecycle Governance And Learning Health System Framework For Trustworthy, Generalizable, And Sustainable Human-Ai Partnership In Clinical Practice: Lessons From The Asthma-Guidance And Prediction System (A-Gps), Chung-Il Wi, Shauna Overgaard, Momin Malik, Dave Watson, Deepak Sharma, Jennifer Le-Rademacher, Dan Kelleher, Lu Zheng, Joshua Ohde, Brian Lynch, Ashwani Khurana, Sunghwan Sohn, Mahmoud M Aljuhani, Chris Carpenter, Manuel Arteta, Jason Greenwood, Martha Hartz, Randy Foss, Elif Polat, Imad Absah, Carla Davis, Meera Gupta, Lynnea Myers, Björn Nordlund, Cui Tao, Mark L Wieland, Christi Patten, Amie Jones, Prathibha Varkey, Brenna T Loufek, David E Vidal, Nari Gopala, Eric Klee, Vijay H Shah, John D Halamka, Matthew R Callstrom, Nicholas L Rider, Hongfang Liu, Constantin Aliferis, Vesna D Garovic, Young J Juhn

Faculty, Staff and Students Publications

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. However, current understanding of how to establish trustworthy human-AI partnerships is in its infancy, despite its critical importance for implementing AI in healthcare. We present the Asthma-Guidance and Prediction System (A-GPS) as a case study of a practice-integrated AI platform that demonstrates how trustworthy, generalizable and sustainable AI can be developed, evaluated, and implemented in real-world asthma care. We describe major challenges and solutions based on our real-world experience during the process and offer the practical framework, approaches, tools and workflow …

Robust Magnetoelectric Backscatter Communication System For Bioelectronic Implants, Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Kaiyuan Yang, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals …

Implementation And Effectiveness Of An Enhanced Recovery Protocol For Children Undergoing Surgery: The Enrich-Us Stepped-Wedge Cluster-Randomized Trial, Mehul V Raval, Yao Tian, Willemijn Schäfer, Salva N Balbale, Mallory N Perez, Martha-Conley E Ingram, Alison Lehane, Charesa J Smith, Gwyneth A Sullivan, Audra J Reiter, Andrew Hu, Johanna M Borst, Sarah C Blake, Sharron Close, Teaniese L Davis, Bonnie S Essner, Kurt F Heiss, Lynn W Huang, Erin Wymore, Deysi Paniagua-Perez, Kirsty M Engelhardt, Peter M Graffy, Julie K Johnson, Craig W Lillehei, Brian W Gray, Seth D Goldstein, Scott S Short, Samir R Pandya, Janice A Taylor, Christopher Gayer, Adam B Goldin, Matthew M Boelig, Kristy L Rialon, Tim Jancelewicz, Aaron M Lipskar, Mubeen Jafri, Elisabeth T Tracy, Matthew T Harting, Jason P Sulkowski, P Benson Ham, Kaveh Vali, Robert A Cina, David T Schindel, Saleem Islam, Erin A Teeple, Sohail R Shah, Ankush Gosain, David H Rothstein, Megan A Brockel, Jillian Chown, Jane L Holl

Faculty, Staff and Student Publications

Importance: Despite evidence that enhanced recovery protocols (ERPs) improve outcomes in adults undergoing surgery, adoption for pediatric populations has lagged.

Objective: To assess the implementation and clinical effectiveness of a consensus-based ERP for pediatric patients undergoing elective gastrointestinal (GI) surgery.

Design, setting, and participants: A prospective type 2 hybrid implementation-effectiveness, stepped-wedge, cluster-randomized by entry date into implementation phase, trial of pediatrics patients, 10 to 18 years of age, undergoing elective GI surgery at 18 US sites from September 2019 to June 2024.

Interventions: Sites were randomized into 3 groups, each spending at least 9 months in a control phase, with …

Natural History Of Ngly1 Deficiency: Motor Function & Clinical Features, Grace Morrison, Selina Dwight, Hal Landy, William F Mueller, Pam Ventola, Regina Deck, Becky Schweighardt, Matt Wilsey, Kevin J Lee, Bernhard Suter

Faculty, Staff and Students Publications

N-glycanase 1 (NGLY1) Deficiency is an ultra-rare neurodevelopmental disorder caused by biallelic loss-of-function mutations in the NGLY1 gene, leading to severe impairments in neurocognitive and motor function abilities in the affected patient population. Its core clinical features include global developmental delay, hyperkinetic movement disorders, elevation of liver transaminases, (hypo)alacrima, and progressive sensorimotor neuropathy. Due to the range of phenotypes and severity within the confirmed patient population, ongoing characterization of the disease is critical. A prospective natural history study (NHS) was conducted to further elucidate disease phenotypes and examine any changes in neurocognitive or motor function over a one-year period. Fifteen …

Animal Models Of Delirium: A Narrative Review, Tatiana Barichello, Carla Sasso Simon, Diogo Dominguini, Cristiane Ritter, Tsuyoshi Nishiguchi, Gen Shinozaki, Felipe Dal-Pizzol

Faculty, Staff and Student Publications

Delirium is an acute cognitive failure characterized by an acute onset and psychomotor disturbances. It is associated with poor outcomes in hospitalized patients, resulting in prolonged hospital stays, elevated rates of mortality, and cognitive dysfunctions after hospital discharge. The pathophysiology of delirium remains poorly understood, making the development of animal models a promising avenue for researchers to elucidate the mechanisms underlying human delirium. These models not only aid in understanding the pathophysiology and etiology of the disease but also enhance the efficacy of nonpharmacological interventions and identify pharmacological therapies. This review aims to present the most relevant and translational animal …

Is2c2: A Cointelligent Platform For Mechanistic Discovery Of Disease Cellular Crosstalk, Jianting Sheng, Ju Young Ahn, Li Yang, Zhihao Wan, Shaohua Qi, Xiaohui Yu, Zhan Xu, Yuliang Cao, Matthew Vasquez, Amna Irfan, Yuanyuan Zhu, Hong Zhao, Zheng Yin, Ying Zhu, Yunfeng Ding, Alireza Faridar, Lin Wang, Fengshuo Liu, Hongxia Wang, Zhigang Ji, Dongxue Mao, Michael Chan, Daniel Kermany, Wenjuan Dong, Doo Yeon Kim, Xiang H-F Zhang, Stephen T C Wong

Faculty, Staff and Students Publications

Large language models (LLMs) have demonstrated impressive capabilities in summarization, reasoning, and content generation, yet their inability to directly interpret large-scale omics data has limited their utility in data-driven hypothesis generation-particularly in mechanism discovery that demands the integration and interpretation of multimodal datasets, heterogeneous models, and deep domain expertise. Conversely, traditional computational algorithms excel at quantitative analysis of omics data but often rely heavily on labor-intensive, expert-driven interpretation to extract biologically meaningful insights. Here, we introduce (cointelligent single-cell spatial cell‒cell communication: iS2C2), a novel cointelligent platform that synergizes mathematically rigorous computational algorithms with the contextual reasoning capabilities of LLMs to …

Dna Methylation Signatures Associated With Bipolar Disorder In Peripheral Blood Improve Prediction Models, Markos Tesfaye, Anne-Kristin Stavrum, Kira D Höffler, Kevin S O'Connell, Friederike S David, Melanie E Garrett, Sonia Hesam-Shariati, Bronwyn J Overs, Claudia Pisanu, Luana Spano, Oliver J Watkeys, Antoine Weihs, Rafaella Ardau, Allison E Ashley-Koch, Lavinia Athanasiu, Jean C Beckham, Kyle J Bourassa, Caterina Chillotti, Srdjan Djurovic, Ole K Drange, Josef Frank, Anouar Khayachi, Nathan A Kimbrel, Lourdes Martorell, Susanne Meinert, Ingrid Melle, Gunnar Morken, Pasquale Paribello, Marco Pinna, Gloria Roberts, Guy Rouleau, Peter R Schofield, Esteban Sepúlveda, Giovanni Severino, Vidar M Steen, Frederike Stein, Fabian Streit, Va Mid-Atlantic Mirecc Workgroup, Trine Vik Lagerberg, Martin Alda, Udo Dannlowski, Andreas J Forstner, Janice M Fullerton, Hans J Grabe, Melissa J Green, Tilo Kircher, Javier Labad, Mirko Manchia, Philip B Mitchell, Jair C Soares, Alessio Squassina, Alexander Teumer, Leonardo Tondo, Elisabet Vilella, Ole A Andreassen, Boris Chaumette, Gabriel R Fries, Stephanie Le Hellard

Faculty, Staff and Student Publications

Background: Bipolar disorder (BD) is a major mood disorder influenced by both genetic and environmental factors. While DNA methylation from peripheral tissues can reflect both genetic and environmental influences and reveal insights into disease biology, it remains understudied in BD. DNA methylation signatures may complement polygenic scores (PGS) and hold potential as biomarkers. Here, we conducted the largest epigenome-wide association study (EWAS) of BD to date and evaluated the predictive value of polymethylation scores (PMS) in classifying case-control status.

Methods: DNA methylation from peripheral blood of 1729 cases and 1747 controls, comprising twelve cohorts, was obtained. We performed meta-analyses for …

Identifying Novel Gene Dysregulation Associated With Opioid Overdose Death: A Meta-Analysis Of Differential Gene Expression In Human Prefrontal Cortex, Javan K Carter, Bryan C Quach, Caryn Willis, Melyssa S Minto, Dana B Hancock, Janitza Montalvo-Ortiz, Olivia Corradin, Ryan W Logan, Consuelo Walss-Bass, Brion S Maher, Eric Otto Johnson

Faculty, Staff and Student Publications

Only recently have human postmortem brain studies of differential gene expression (DGE) associated with opioid overdose death (OOD) been published; sample sizes from these studies have been modest (N = 40-153). To increase statistical power to identify OOD-associated genes, we leveraged human prefrontal cortex RNA-seq data from four independent OOD studies and conducted a transcriptome-wide DGE meta-analysis (N = 272). Using a unified gene expression data processing and analysis framework across studies, we meta-analyzed 20, 098 genes and found 335 significant differentially expressed genes (DEGs) by OOD status (false discovery rate <  0.05). Of these, 66 DEGs were among the list of 303 genes reported as OOD-associated in prior prefrontal cortex molecular studies (e.g., genes/gene families OPRK1, NPAS4, DUSP, EGR). The remaining 269 DEGs were not previously reported (e.g., NR4A2, SYT1, HCRTR2, BDNF). There was little evidence of genetic drivers for the observed differences in gene expression between opioid addiction cases and controls. Enrichment analyses for the DEGs across molecular pathway and biological process databases highlight an interconnected set of genes and pathways linked to orexin and tyrosine kinase receptors through MEK/ERK/MAPK signaling to affect neuronal plasticity.

Development Of Novel Plasma Proteomic Biomarkers For Cancer-Associated Thrombosis In An Advanced Cancer Cohort, Preeti, Mrinal Ranjan, Dang Pham, Juan L Bueno, Micheline M Resende, Michael E Scheurer, Christopher I Amos, Chao Cheng, Ang Li

Faculty, Staff and Students Publications

Background: Existing risk models for cancer-associated thrombosis (CAT) show suboptimal performance in selective high-risk populations with cancer. Affinity-based plasma proteomics offers a novel approach for detecting CAT risk.

Objectives: To identify plasma biomarkers for CAT using proximity extension assays in an advanced cancer cohort.

Methods: We performed a nested case-control study using the Olink Explore HT panel. The final cohort included 57 patients with CAT and 113 matched control patients from 5 selected cancer types who had samples collected between cancer diagnosis and chemotherapy initiation. Random survival forest model was used to assess nonlinear associations with CAT in 5416 normalized …

Progressive Cardiac Phenotypes And Reduced Reversibility From Long-Term Cugexp Rna Expression In A Dm1 Mouse Model, Rong-Chi Hu, Mohammadreza Tabary, Xander Ht Wehrens, Thomas A Cooper

Faculty, Staff and Students Publications

Myotonic dystrophy type 1 (DM1) is caused by an expanded CTG repeat in the DMPK gene, resulting in mutant transcripts that form expanded CUG (CUGexp) RNA foci and sequester muscleblind-like (MBNL) RNA-binding proteins. DM1 is multisystemic, with progressive worsening of disease manifestations in affected tissues. Disease progression is attributed to somatic expansion of the CTG repeats with age, resulting in production of CUGexp RNA with enhanced intrinsic toxicity due to increased MBNL sequestration. To determine the degree to which cardiac disease progression can occur independently of repeat expansion, we used a transgenic DM1 mouse model with inducible heart-specific expression of …

Genetic Analysis Of The X-Linked Adrenoleukodystrophy Gene Abcd1 In Drosophila Uncovers A Conserved Phenotype, Joshua Manor, Sharayu V Jangam, Hyung-Lok Chung, Pranjali Bhagwat, Jonathan C Andrews, Hillary Chester, Shu Kondo, Saurabh Srivastav, Juan Botas, Ann B Moser, Suzette M Huguenin, Michael F Wangler

Duncan NRI Faculty and Staff Publications

X-linked adrenoleukodystrophy (X-ALD) is a progressive neurodegenerative disorder caused by a loss-of-function (LOF) mutation in the ATP-binding cassette subfamily D member 1 (ABCD1) gene, leading to the accumulation of very long-chain fatty acids (VLCFAs). This disorder exhibits striking heterogeneity; some male patients develop an early childhood neuroinflammatory demyelination disorder, while other patients, including adult males and most affected female carriers, experience a chronic progressive myelopathy. Adrenocortical failure is observed in almost all male patients, with the age of onset varying, sometimes being the first diagnostic finding. The gene underlying this spectrum of disease encodes an ATP-binding cassette (ABC) transporter that …

Pharmacogenomic-Guided Prescribing And Polypharmacy Across Age Groups In Obsessive-Compulsive Disorder: A Retrospective Study, Sheldon R Garrison, Matthew W Boyer, Anthony W Zoghbi, Rachel A Schwartz, Nicolette Weisensel, Martin E Franklin, Madeline M Hartig, Maharaj Singh, Sreya Vadapalli

Faculty, Staff and Students Publications

Background: This study evaluated medication utilization in children, adolescents, and adults with obsessive-compulsive disorder (OCD), a chronic psychiatric condition characterized by intrusive thoughts and repetitive behaviors. Although first-line treatments include selective serotonin reuptake inhibitors (SSRIs) and cognitive behavioral therapy (CBT), the heterogeneous biological underpinnings contribute to suboptimal outcomes, with 40-60% of individuals not responding to SSRIs. This complex phenotype often leads to psychotropic polypharmacy, which may be mitigated by incorporating combinatorial pharmacogenomic (PGx) testing into protocol-based care to identify potential gene-drug interactions.

Methods: A retrospective review was conducted of individuals with OCD aged 8 to 65 years who received either …

Large-Scale Genetic Characterization Of Parkinson’S Disease In The African And African Admixed Populations, Fulya Akçimen, Kimberly Paquette, Peter Wild Crea, Kathryn Step, Emily Waldo, Mathew J Koretsky, Paula Saffie-Awad, Charles Achoru, Funmilola Taiwo, Simon Ozomma, Gerald Onwuegbuzie, Marzieh Khani, Spencer Grant, Lukman Owolabi, Chiamaka Okereke, Olajumoke Oshinaike, Emmanuel Iwuozo, Suleyman Can Akerman, Paul Suhwan Lee, Shyngle Oyakhire, Nosakhare Osemwegie, Kensuke Daida, Sani Abubakar, Adedunni Olusanya, Mariam Isayan, Christiane Alvarez, Rami Traurig, Adebimpe Ogunmodede, Sarah Samuel, Mary B Makarious, Fadimatu Sa'ad, Rashidat Olanigan, Kristin Levine, Ewere Marie Ogbimi, Dan Vitale, Francis Odiase, Francis Ojini, Olanike Odeniyi, Zih-Hua Fang, Nkechi Obianozie, Deborah A Hall, Ernest Nwazor, Tao Xie, Francesca Nwaokorie, Mahesh Padmanaban, Paul Nwani, Ejaz A Shamim, Alero Nnama, David Standaert, Morenikeji Komolafe, Marissa Dean, Godwin Osaigbovo, Elizabeth Disbrow, Ismaila Ishola, Ashley Rawls, Frank Imarhiagbe, Shivika Chandra, Cyril Erameh, Vanessa Hinson, Naomi Louie, Ahmed Idowu, J Solle, Scott A Norris, Abdullahi Ibrahim, Camilla Kilbane, Gauthaman Sukumar, Lisa M Shulman, Daniel Ezuduemoih, Julia Staisch, Sarah Breaux, Clifton Dalgard, Erin R Foster, Abiodun Bello, Andrew Ameri, Raquel Real, Erica Ikwenu, Huw R Morris, Roosevelt Anyanwu, Erin Furr Stimming, Kimberley Billingsley, Wemimo Alaofin, Pilar Alvarez Jerez, Osigwe Agabi, Dena G Hernandez, Rufus Akinyemi, Sampath Arepalli, Laksh Malik, Raymond Owolabi, Yakub Nyandaiti, Hampton L Leonard, Kolawole Wahab, Oladunni Abiodun, Carlos F Hernandez, Fatima Abdulai, Hirotaka Iwaki, Soraya Bardien, Christine Klein, John Hardy, Henry Houlden, Kamalini Ghosh Galvelis, Mike A Nalls, Nabila Dahodwala, Whitley Aamodt, Emily Hill, Alberto Espay, Stewart Factor, Chantale Branson, Cornelis Blauwendraat, Andrew B Singleton, Oluwadamilola Ojo, Lana M Chahine, Njideka Okubadejo, Sara Bandres-Ciga

Faculty, Staff and Student Publications

Elucidating the genetic contributions to Parkinson's disease aetiology across diverse ancestries is a critical priority for the development of targeted therapies in a global context. We conducted the largest sequencing characterization of potentially disease-causing, protein-altering and splicing mutations in 710 cases and 11 827 controls from genetically predicted African or African admixed ancestries. We explored copy number variants (CNVs) and runs of homozygosity in prioritized early onset and familial cases. Our study identified rare GBA1 coding variants to be the most frequent mutations among patients with Parkinson's disease, with a frequency of 4% in our case cohort. Of the 18 …

Small Partial Deletion Of A Highly Gc-Rich Foxf1 Exon 1 In Two Deceased Siblings With Alveolar Capillary Dysplasia, Hiuling Chan Joiner, Shruti A Pande, Przemyslaw Szafranski, Partha Sen, Gail Deutsch, Pawel Stankiewicz

Faculty, Staff and Students Publications

Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a rare lethal lung developmental disorder caused by haploinsufficiency of FOXF1. While larger-sized coding and noncoding copy-number variant (CNV) deletions involving the FOXF1 locus are detected in approximately half of histopathologically-diagnosed ACDMPV patients, small CNVs remain diagnostically challenging. Here, we revisited an unsolved case of familial ACDMPV with two affected siblings. Whole genome sequencing (WGS) of 30-year-old archival lung autopsy tissue analyzed using AI powered platform revealed a 151 bp CNV deletion involving a highly GC-rich portion of exon 1 of FOXF1 that was not detected using Sanger sequencing and …

Apathy, Effort-Based Decisions And Brain Integrity In Alzheimer’S And Parkinson’S Diseases, Lee-Anne Morris, Hideo Suzuki, Seonjoo Lee, Zekai Jin, Bryan B Chen, Ana Marin, Edward D Huey, Yunglin Gazes, Sarah R Heilbronner, Campbell J Le Heron, Nora Vanegas-Arroyave

Faculty, Staff and Students Publications

Apathy, or loss of motivation, is a prominent syndrome accompanying both Alzheimer's and Parkinson's diseases, in addition to other disorders. One approach to understanding motivational loss is to examine the processes underlying goal-directed behaviour. Weighing up rewarding outcomes against the effort costs required to obtain them (effort-based decision-making) is a core computation when deciding to act for outcomes. Although a growing body of evidence points to disruption of this computation in people with apathy, which underlying decision parameters drive this disruption, their neural associations and whether these would generalize or differ across brain disorders have not been examined. People with …

Purine Metabolic Adaptation Protects The Endothelium From Disturbed Flow-Induced Dna Damage And Atherosclerosis, Qian Ma, Yongfeng Cai, Zhidan Zhang, Dingwei Zhao, Yuan Zhao, Peishan Xu, Tammy Lu, Wendy Zhang, Qiuhua Yang, Yaqi Zhou, Varadarajan Sudhahar, Tohru Fukai, Hanjoong Jo, Yiming Xu, Yuqing Huo

Faculty, Staff and Students Publications

Despite effective lipid-lowering therapies, atherosclerosis continues to be a leading cause of death, with considerable residual cardiovascular risk. Atherosclerotic lesions develop preferentially at arterial regions exposed to disturbed flow (d-flow), which induces genomic stress, endothelial injury, and barrier dysfunction. Hemodynamic forces are known to reprogram endothelial metabolism, but the role of de novo purine synthesis (DNPS), which supplies nucleotides for genome maintenance and whose terminal steps are catalyzed by the bifunctional enzyme ATIC, remains undefined in atherosclerosis. By integrating bulk and single-cell multiomics with in vitro flow systems and in vivo models, we show that d-flow upregulates DNPS and ATIC …

Syrah: A Pipeline To Maximize Spatial Transcriptomics Data Output, Carolyn Brewster, Frederick G Mann, Blair Benham-Pyle, Alejandro Sánchez Alvarado

Faculty, Staff and Students Publications

Spatial analysis of gene expression patterns has been a key technique for revealing the potential functions of genes. Traditionally, these analyses conducted using in-situ hybridizations and other labor-intensive protocols were constrained to examining only a few candidate genes per sample. However, the advent of spatial transcriptomic techniques like Slide-seqV2 has transformed this field, enabling massively parallel exploration of gene expression patterns within their tissue contexts by pairing spatial locations with RNA sequencing. Despite its potential, Slide-seqV2 datasets often produce fewer usable reads than expected. We have identified that a significant source of errors in the technology stems from the chemical …

Tractor Workflow: A Scalable Nextflow Framework For Local Ancestry-Aware Genome-Wide Association Studies, Nirav N Shah, Taotao Tan, Jessica Honorato-Mauer, Yi-Sian Lin, Adam X Maihofer, Clement C Zai, Pgc-Ptsd Ancestry Working Group, Marcos Santoro, Caroline M Nievergelt, Elizabeth G Atkinson

Faculty, Staff and Students Publications

Motivation: The routine exclusion of admixed individuals from traditional genome-wide association studies (GWAS) due to concerns about spurious associations has limited multi-ancestry genetic discovery. Tractor addresses this issue by incorporating local ancestry into association testing, enabling the identification of ancestry-enriched signals and generating ancestry-specific summary statistics. However, adoption has been constrained by the complexity of prerequisite steps, including phasing and local ancestry inference, which require substantial bioinformatics expertise and introduce key analytical decision points.

Results: We developed a scalable, automated Nextflow workflow that integrates phasing, local ancestry inference, and Tractor association testing into a reproducible end-to-end pipeline. To demonstrate its …

Nuclear Export As A Therapeutic Vulnerability In Zfta-Rela Ependymoma, Siri M Ippagunta, Amir Arabzade, Srinidhi Varadharajan, Erik Emanus, Amanda Bland, Alisha Kardian, Nicholas Laboe, Hua Sun, Tuyu Zheng, Amelia Hancock, Mark Zhai, Emma Caesar, Maxwell Park, Wilda Orisme, Melissa Johnson, Brittany Rodgers, Gregory H Turner, Jeffrey Steinberg, Burgess Freeman, Martine F Roussel, Anang Shelat, Richard Kriwacki, Thomas E Merchant, Benjamin Deneen, Michael D Taylor, Sameer Agnihotri, Shondra Pruett-Miller, Jacob A Steele, Anoop Murthy Kavirayani, David W Ellison, Arzu Onar-Thomas, Giles Robinson, Stephen C Mack, Kelsey C Bertrand

Faculty, Staff and Students Publications

Background: Ependymoma (EPN) is the third most common pediatric brain tumor with no targeted therapies available to patients. In supratentorial ependymoma, the most frequent driver alteration is a gene fusion between ZFTA and RELA (denoted ZR), leads to constitutive localization of ZR in the nucleus. Because ZR is not currently druggable, we tested whether ZR expression leads to aberrant protein interactions that could represent therapeutic vulnerabilities.

Methods: Using CRISPR-Cas9 pooled screening, we identified many novel druggable ZR interacting proteins including XPO1, CARM1, SMARCA4, and CDK1. We focused on the nuclear export protein (XPO1), given the ability of most XPO1 inhibitors …

Donor Sex And Platelet Storage Change The Therapeutic Effects Of Platelet-Derived Extracellular Vesicles On Endothelium, Mandeep Kaur, Malvika Gupta, Sowmya Shree Gopal, Charles E Wade, Jessica C Cardenas, Amit K Srivastava

Faculty, Staff and Student Publications

Platelet-derived extracellular vesicles (PEVs) play an active role in vascular protection and repair and are being explored as a viable alternative to platelet therapy. Because platelet function and stability are shaped by donor sex and storage conditions, these same factors are likely to influence the PEVs they release. Understanding these influences is key to developing PEVs into a safe and dependable therapeutic option. In this study, we investigated how donor sex and platelet storage affect the therapeutic properties of PEVs. To address this, PEVs were isolated from platelets of healthy male and female donors. Platelets were either processed immediately after …

Advances In Glp-1 Receptor Agonists Delivery Systems For Obesity And Diabetes, Mehrnaz Abbasi, Kai Sun, Kevin W Huggins, Braeden Heath, Hannah Deloit, Lauren Mcginness, Kate Mccamy

The Brown Foundation: Institute of Molecular Medicine

Obesity and diabetes are chronic metabolic diseases affecting millions worldwide. Current treatments, including lifestyle changes, medications, and surgery, face challenges like poor adherence and side effects. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are recommended innovative medications for these conditions, with studies showing significant clinical benefits. GLP-1RAs are traditionally delivered orally or via subcutaneous injections, but these methods have limitations, including low bioavailability, poor solubility, the need for high doses, gastrointestinal side effects, and frequent dosing requirements. Novel delivery technologies offer promising strategies to overcome these challenges and enhance therapeutic effectiveness. Recent advances in drug delivery technologies, including nanocarrier- and microcarrier-based systems, …

Ultrasonic Cavity Preparation With Cvd Diamond Tips: A Scanning Electron Microscopy Study Of Dentin Surface Morphology And Smear Layer Formation, Mauricio Schneider, Jefferson David Melo De Matos, Mário Alexandre Coelho Sinhoreti, Diego Telomaro Peiter, José Eduardo Bastian, Daher Antonio Queiroz

Faculty, Staff and Student Publications

Background: Minimally invasive dentistry has driven the development of alternative cavity preparation techniques aimed at preserving tooth structure and improving biological outcomes. Ultrasonic systems associated with chemical vapor deposition (CVD) diamond tips have emerged as a potential alternative to conventional rotary instruments; however, evidence regarding their effects on dentin surface morphology and smear layer characteristics under SEM remains limited. This study aimed to evaluate the morphological characteristics of dentin surfaces after cavity preparation using ultrasonic and conventional rotary techniques.

Materials and methods: Twenty extracted human teeth were sectioned longitudinally to obtain standardized specimens. Samples were assigned to ultrasonic preparation using …

Breastfeeding Education Preferences Of Pregnant People With Low Incomes, Megan Kindred

Dissertations and Theses (Open Access)

Background: The proportion of infants breastfed at 1 year in the United States remains below the Healthy People 2030 goal. Longer breastfeeding durations are important due to dose-response benefits, but disparities are greater among those with low incomes. Prenatal breastfeeding education (PBE) interventions can increase breastfeeding duration. Additionally, incentivization and gamification can be used to increase use of educational technology but are underexplored in this domain. Prior studies examining PBE format preferences do not reflect currently available technology. PBE format preferences of childbearing people should be reexamined.

Purpose: This purpose of this study is to: (1) identify PBE format preference …

Stance And Gait Analysis Of Apollo Astronauts On The Moon, Faye Y Chiou-Tan, Conrad Li, Jason P Caffrey, Millard Reschke, Timothy R Macaulay

Faculty, Staff and Students Publications

Introduction/aim: As humans return to the Moon, safe efficient ambulation and fall prevention on the lunar surface are key concerns. The analysis of gait from archived Apollo mission video footage is now possible with pose estimation video analysis software. Thus, this study aims to retrospectively quantify parameters of Apollo astronauts' stance and gait on the Moon.

Methods: Publicly available National Aeronautics and Space Administration (NASA) footage of astronauts ambulating on the Lunar surface was examined using body pose analysis software. Goniometric lower limb joint/torso angles and width of base of stance and gait were derived. Gait cycle stance phase, swing …

Effects Of M6a Dna Methylation By Bacterial Methyltransferase In Colorectal Cancer, Fabian Alejandro Mendoza Galvan

Dissertations and Theses (Open Access)

Effects of m6A DNA methylation by bacterial methyltransferase in colorectal cancer Fabian Alejandro Mendoza Galvan Advisory Professor: Angela H. Ting, Ph.D. Fusobacterium nucleatum animalis (Fna) is found in the human oral cavity and gut. A distinct clade of Fna is primarily enriched in the tumor microenvironment (TME) and within colorectal cancer (CRC) cells. This clade DNA methylation pattern is primarily catalyzed by a cell-cycle regulated methyltransferase (CcrM) ortholog, M.FnI, that targets the GANTC sequence motif through methyl-6-Adenine (m6A) DNA methylation. We hypothesized that M.FnI enzyme can induce m6A methylation abnormalities in CRC cells to promote cancer progression. Evidence for endogenous …

Targeting Breast Cancer Brain Metastasis Through Novel Combination Of Fda-Approved Orally Active Blood-Brain Barrier Permeable Ret And Tgli1 Inhibitors, Joshua Cha

Dissertations and Theses (Open Access)

Breast cancer is the most diagnosed cancer in American women, and breast cancer brain metastasis (BCBM) exhibits the worst prognoses with a life-expectancy averaging at 6 months. This short life expectancy is largely attributed to the lack of effective treatment. Many challenges remain unsolved, including the limited number of actionable targets for targeted therapy and effective blood-brain barrier (BBB) permeable drugs that are safe without promoting drug resistance. Therefore, there is an urgent call for identification of novel therapeutic targets and development of BBB-permeable drugs. One of the potential targets identified by our lab for BCBM targeted therapy is the …

Pattern Dynamics And Stochasticity Of Brain Rhythms And Spike Trains In A Tauopathy Mouse Model Of Alzheimer’S Disease, Clarissa M. Hoffman

Dissertations and Theses (Open Access)

Systems neuroscience posits that every aspect of perceived physical reality, every aspect of animal and human behavior, and every cognitive phenomenon emerges from patterns of neuronal activity. While most researchers embrace this idea, there are major difficulties in describing and analyzing these complex neuronal dynamics—spike flows produced by cells ensembles, synchronized extracellular field oscillations, and other patterns—which limits our understanding of how the activity of individual neurons and the whole-animal cognition and behavior might be connected. In particular, we lack the approaches and even the semantics for connecting the individual cell outputs and the integrated results of their activity. Current …