Digital Commons Network^™

Cell Type-Specific Multi-Omics Analysis Of Cocaine Use Disorder In The Human Caudate Nucleus, Lea Zillich, Annasara Artioli, Veronika Pohořalá, Eric Zillich, Laura Stertz, Hanna Belschner, Ammar Jabali, Josef Frank, Fabian Streit, Diana Avetyan, Maja P Völker, Svenja Müller, Anita C Hansson, Thomas D Meyer, Marcella Rietschel, Julia Ladewig, Rainer Spanagel, Ana M M Oliveira, Consuelo Walss-Bass, Rick E Bernardi, Philipp Koch, Stephanie H Witt

Faculty, Staff and Student Publications

Structural and functional alterations in the brain's reward circuitry are present in cocaine use disorder (CocUD), but their molecular underpinnings remain unclear. To investigate these mechanisms, we performed single-nuclei multiome profiling on postmortem caudate nucleus tissue from six individuals with CocUD and eight controls. We profiled 30,030 nuclei, identifying 13 cell types including D1- and D2-medium spiny neurons (MSNs) and glial cells. We observed 1485 differentially regulated genes and 10,342 differentially accessible peaks, with alterations in MSNs and astrocytes related to neurotransmitter activity and synapse organization. Gene regulatory network analysis identified transcription factors including ZEB1 as exhibiting distinct CocUD-specific subclusters, …

Impact Of Perioperative Organ Injury On Morbidity And Mortality In 28 Million Surgical Patients, Felix Kork, Yafen Liang, Adit A Ginde, Xiaoyi Yuan, Rolf Rossaint, Hongfang Liu, Alex S Evers, Holger K Eltzschig

Faculty, Staff and Student Publications

Perioperative organ injury contributes to morbidity and mortality of surgical patients. This cohort study included all elective and emergent surgeries in Germany over 4 years to address the impact of perioperative organ injuries on outcomes. We analyzed 28,350,953 cases. In-hospital mortality was 1.4% (n = 393,157), and 4.4% of cases (n = 1,245,898) experienced perioperative organ injury. Perioperative organ injury was associated with 9-fold higher odds of death and prolonged hospital stay by 11.2 days. Acute kidney injury had the highest incidence (2.0%) and was associated with 25.0% mortality. While delirium had the second highest incidence (1.5%), it was associated …

Geographic Divergence Of Methicillin-Resistant Staphylococcus Aureus St5-Scc Mec I In The Aftermath Of A Major Earthquake And Tsunami: Impact Of A Plasmid Harboring Heavy Metal Resistance Genes, Jose R W Martínez, Manuel Alcalde-Rico, Estefanía Jara-Videla, Jinnethe Reyes, Lina P Carvajal, Sandra Rincon, Rafael Ríos, Lorena Diaz, Ana Quesille-Villalobos, Roberto Riquelme-Neira, Lina Rivas, Ahmed M Moustafa, Blake Hanson, Eduardo A Undurraga, Jorge Olivares-Pacheco, Patricia García, Rafael Araos, Paul J Planet, César A Arias, Jose M Munita

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health menace. The global spread of MRSA is characterized by successive waves of epidemic clones dominating specific geographical regions. The acquisition of genes encoding resistance to heavy metals (HMRGs) is thought to be a key feature in the geographic divergence of MRSA. However, the cause-effect relationship between the presence of HMRGs and the divergence of MRSA clones remains to be clarified. In this study, we assessed the role that HMRGs may have played in the evolutionary divergence of the MRSA ST5-SCCmecI lineage in Latin America. We conducted a genomic characterization …

An In Vivo Microscopy Dataset For The Characterization Of Leukocyte Death, Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen, Hans-Uwe Simon, Rolf Krause, Santiago F Gonzalez

Faculty, Staff and Student Publications

Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset …

Phase 2 Trial Of Ibrutinib And Nivolumab In Patients With Relapsed Cns Lymphomas, Dai Chihara, Raphael E Steiner, Ranjit Nair, Lei Feng, Sairah Ahmed, Paolo Strati, Luis Malpica, Donna P Griffith, Shivon A Mathew, Wirt Montinez, Gita Masand, Felipe Samaniego, Maria A Rodriguez, Fredrick B Hagemeister, Luis E Fayad, Swaminathan P Iyer, Loretta J Nastoupil, Sattva S Neelapu, Christopher R Flowers, Jason R Westin

Faculty, Staff and Student Publications

Treatment options are limited for both relapsed/refractory primary and secondary central nervous system (CNS) lymphoma and the prognosis remains poor. Previous studies have shown the activity of Bruton tyrosine kinase inhibitors and programmed death-1-targeted therapies in CNS lymphoma, and studies suggested potential synergy. Therefore, we conducted a phase 2 trial that combined ibrutinib with nivolumab for patients with relapsed/refractory CNS lymphoma. Patients received 560 mg oral ibrutinib daily with 240 mg IV nivolumab every 14 days (28 days per cycle). Patients who had partial or complete response after 6 cycles of treatment could continue therapy for up to 2 years …

Leveraging Llms To Understand Narratives In Maude Reports, Yuheng Shi, Yang Gong

Faculty, Staff and Student Publications

Interest in using the MAUDE database to investigate adverse events linked to medical devices has been growing. Yet, the narrative sections of these reports remain largely unexplored, leaving valuable insights unutilized and creating an incomplete understanding of these events. To bridge this gap, we employ large language models (LLMs) to analyze and interpret these narratives. Using OpenAI's GPT-4-turbo model, we focused on MAUDE reports involving endoscopic clips to identify uncoded surgical procedures and uncover additional insights. This approach showcases the potential of LLMs in processing narrative content, offering a more efficient and cost-effective alternative to previous methods and supporting the …

Identifying The Human Olfactory And Chemosignaling Neural Networks Using Event Related Fmri And Graph Theory, Saideh Ferdowsi, Tom Foulsham, Alireza Rahmani, Dimitri Ognibene, Luca Citi, Wen Li

Faculty, Staff and Student Publications

This study aims to characterize and compare the functional neural networks associated with different olfactory stimuli, including air, non-social odours, and human body odours. We introduce a novel processing pipeline based on event-related functional magnetic resonance imaging (fMRI) and graph theory for network identification. To ensure the stability and small worldness of the characterized networks, we conduct statistical validations, network modularity assessments, and robustness measurement against local attacks. The key hypothesis is that human body odours (so-called social odours) and non-social odours engage distinct neural networks, particularly in regions responsible for social processing. We found that the posterior medial orbitofrontal …

Gpat4 Sustains Endoplasmic Reticulum Homeostasis In Endocardial Cells And Safeguards Heart Development, Tianyang Zhao, Kuipei Jin, Xiaodong Wang, Xiong Su, Youjun Wang, Mingming Gao, Wen Luo, Hongyuan Yang, Zhongzhou Yang

Faculty, Staff and Student Publications

The endocardium plays a pivotal role in governing myocardial development, and understanding the intrinsic regulatory insights will help apprehend pathological cardiomyopathy. Glycerol-3-phosphate acyltransferase 4 (GPAT4) is an endoplasmic reticulum (ER) membrane anchored protein. While the role of GPAT4 in glycerophospholipid biosynthesis is well established, its function in the ER is less explored. Here, we generate Gpat4 global and tissue-specific knockout mice and identify the essential role of GPAT4 in endocardial development. Deficiency of GPAT4 provokes endocardial ER stress response and enhances ER-mitochondrial (ER-mito) communications, leading to mitochondrial DNA (mtDNA) escape. As a result, the cGAS-STING pathway is triggered to stimulate …

Alterations In Dna Methylation, Proteomic, And Metabolomic Profiles In African Ancestry Populations With Apol1 Risk Alleles, Xinruo Zhang, Ashley W Scadden, Amarnath Marthi, Victoria L Buchanan, Yishu Qu, Kendra R Ferrier, Brian D Chen, Mariaelisa Graff, Julian Avila, Eric Boerwinkle, Steven Buyske, Clary B Clish, Dan Cruz, Myriam Fornage, Robert E Gerzsten, Christopher R Gignoux, Lashaunta Glover, Lifang Hou, Anne E Justice, Charles Kooperberg, Holly Kramer, Leslie Lange, Ruth J F Loos, Tara Matise, Josyf C Mychaleckyj, Opeyemi A Olabisi, Ulrike Peters, Laura M Raffield, Alex P Reiner, Stephen S Rich, Jerome I Rotter, Kent D Taylor, Bing Yu, Yinan Zheng, Kari E North, Amy K Mottl, Heather M Highland, Maggie A Stanislawski

Faculty, Staff and Student Publications

Key Points:

1. We aimed to elucidate potential methylation, proteomic, and metabolomic mechanisms by which APOL1 variants may be linked to kidney disease.

2. We report distinct methylation profiling between APOL1 risk allele carriers and noncarriers, many near APOL gene family.

3. We report higher APOL1 protein and lower C18:1 cholesteryl ester in two risk allele carriers.

Background: The APOL1 high-risk haplotype has been associated with CKD and the deterioration of kidney function, particularly in populations with West African ancestry. However, the mechanisms by which APOL1 risk variants increase the risk for kidney disease and its progression have not been fully elucidated.

Methods: …

Mri-Based Digital Twins To Improve Treatment Response Of Breast Cancer By Optimizing Neoadjuvant Chemotherapy Regimens, Chengyue Wu, Ernesto A B F Lima, Casey E Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient's twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95-24.76%. Retrospective …

Association Of Age, Sex And Education With Access To The Intravenous Thrombolysis For Acute Ischemic Stroke, Yoona Ko, Beom Joon Kim, Youngran Kim, Jong-Moo Park, Kyusik Kang, Jae Guk Kim, Jae-Kwan Cha, Tai Hwan Park, Kyungbok Lee, Jun Lee, Keun-Sik Hong, Byung-Chul Lee, Kyung-Ho Yu, Dong-Eog Kim, Joon-Tae Kim, Jay Chol Choi, Jee Hyun Kwon, Wook-Joo Kim, Kyu Sun Yum, Sung-Il Sohn, Hyungjong Park, Sang-Hwa Lee, Kwang-Yeol Park, Chi Kyung Kim, Sung Hyuk Heo, Moon-Ku Han, Anjail Z Sharrief, Sunil A Sheth, Hee-Joon Bae

Faculty, Staff and Student Publications

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients.

Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed …

Exploring The Impact Of Reduction In Methamphetamine Use On Sexual Risk Behaviors Among Men Who Have Sex With Men And Women: Findings From The Adapt- 2 Trial, Chukwuemeka N Okafor, Jin H Yoon, Ducel Jean-Berluche, Taryn L Mayes, Steve Shoptaw, Madhukar H Trivedi, Jennifer S Potter, Joy Schmitz

Faculty, Staff and Student Publications

Background: Methamphetamine (MA) use has been linked to engaging in sexual risk behaviors (SRBs) that are associated with HIV/STIs, particularly among men who have sex with men (MSM) and men who have sex with men and women (MSMW; hereafter MSM/W). The objectives of this analysis were to determine whether reduced MA is associated with decreases in SRBs in a sample of MSM/W.

Method: Data came from the ADAPT- 2 trial, a randomized, double-blind, two-stage sequential parallel design trial evaluating extended-release injectable naltrexone (NTX) and oral bupropion (BUP) vs. placebo for MA use disorder. In the first 6 weeks of the …

A Folding-Docking-Affinity Framework For Protein-Ligand Binding Affinity Prediction, Ming-Hsiu Wu, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Accurate protein-ligand binding affinity prediction is crucial in drug discovery. Existing methods are predominately docking-free, without explicitly considering atom-level interaction between proteins and ligands in scenarios where crystallized protein-ligand binding conformations are unavailable. Now, with breakthroughs in deep learning AI-based protein folding and binding conformation prediction, can we improve binding affinity prediction? This study introduces a framework, Folding-Docking-Affinity (FDA), which folds proteins, determines protein-ligand binding conformations, and predicts binding affinities from three-dimensional protein-ligand binding structures. Our experimental results indicate that FDA performs comparably to state-of-the-art docking-free methods. We anticipate that our proposed framework serves as a starting point for integrating …

A Scoping Review Of Omop Cdm Adoption For Cancer Research Using Real World Data, Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E Williams, Hongfang Liu

Faculty, Staff and Student Publications

The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood. We conducted a scoping review to describe the adoption of the OMOP CDM in cancer research. A total of 49 unique articles were included in the review, with 30 on the data analysis theme, and 20 on the infrastructure theme. This review highlighted that while the OMOP CDM ecosystem has enabled successful data support for cancer research, particularly for collaborative studies, ongoing model development and iterative improvement remain needed …

Benchmarking Large Language Models For Biomedical Natural Language Processing Applications And Recommendations, Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, Vipina K Keloth, Kalpana Raja, Jimin Huang, Huan He, Fongci Lin, Jingcheng Du, Rui Zhang, W Jim Zheng, Ron A Adelman, Zhiyong Lu, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their effectiveness in BioNLP tasks remains unclear due to limited benchmarks and practical guidelines. We perform a systematic evaluation of four LLMs-GPT and LLaMA representatives-on 12 BioNLP benchmarks across six applications. We compare their zero-shot, few-shot, and fine-tuning performance with the traditional fine-tuning of BERT or BART models. We examine inconsistencies, missing information, hallucinations, and perform cost analysis. Here, we show that traditional fine-tuning outperforms zero- or …

Referrals And Repeat Screening For Social Determinants Of Health In Pediatric Primary Care, Ashley Gibson, Rachel Eisenhauer

Faculty, Staff and Student Publications

Background: While healthcare screening for social determinants of health (SDOH) is increasing, not every patient who screens positive receives a referral to care coordination (community health workers, social workers, or case managers). Additionally, the impact of referral on patients' repeat screening is unknown.

Objective: The study aims to identify specific domains of SDOH that are associated with referrals to care coordination and assess the outcome of patients re–screened for SDOH at routine pediatric visits within 1 year. Additionally, this study aims to compare the SDOH needs identified on the initial and repeat screen.

Methods: The population includes patients who screened …

Tobacco Smoke Exposure Is A Driver Of Altered Oxidative Stress Response And Immunity In Head And Neck Cancer, Yang Li, Pedram Yadollahi, Fonma N Essien, Vasanta Putluri, Chandra Shekar R Ambati, Karthik Reddy Kami Reddy, Abu Hena Mostafa Kamal, Nagireddy Putluri, Lama M Abdurrahman, Maria E Ruiz Echartea, Keenan J Ernste, Akshar J Trivedi, Jonathan Vazquez-Perez, William H Hudson, William K Decker, Rutulkumar Patel, Abdullah A Osman, Farrah Kheradmand, Stephen Y Lai, Jeffrey N Myers, Heath D Skinner, Cristian Coarfa, Kwangwon Lee, Antrix Jain, Anna Malovannaya, Mitchell J Frederick, Vlad C Sandulache

Faculty, Staff and Student Publications

Background: Exposomes are critical drivers of carcinogenesis. However, how they modulate tumor behavior remains unclear. Extensive clinical data show cigarette smoke to be a key exposome that promotes aggressive tumors, higher rates of metastasis, reduced response to chemoradiotherapy, and suppressed anti-tumor immunity. We sought to determine whether smoke itself can modulate aggressive tumor behavior in head and neck squamous cell carcinoma (HNSCC) through reprogramming of the cellular reductive state.

Methods: Using established human and murine HNSCC cell lines and syngeneic mouse models, we utilized conventional western blotting, steady state and flux metabolomics, RNA sequencing, quantitative proteomics and flow cytometry to …

Alpha-Synuclein Seed Amplification Assays: Data Sharing, Standardization Needed For Clinical Use, Hilal A Lashuel, D James Surmeier, Tanya Simuni, Kalpana Merchant, Byron Caughey, Claudio Soto, Mohamed-Bilal Fares, Roland G Heym, Ronald Melki

Faculty, Staff and Student Publications

Alpha-synuclein seed amplification assays can improve neurodegenerative disease diagnosis and care, but widespread use depends on a framework that standardizes protocols and encourages data sharing.

A Phase Ii Trial Of Sitravatinib + Nivolumab After Progression On Immune Checkpoint Inhibitor In Patients With Metastatic Clear Cell Rcc, Andrew W Hahn, Nabil Adra, Ulka Vaishampayan, Lianchun Xiao, Nazli Dizman, Ying Yuan, Sagar S Mukhida, Matthew T Campbell, Jianjun Gao, Amado J Zurita, Eric Jonasch, Nizar M Tannir, Amishi Y Shah, Pavlos Msaouel

Faculty, Staff and Student Publications

Background: Sitravatinib, an oral multi-kinase inhibitor targeting VEGFR, TAM, and MET, has been shown to resensitize the tumor microenvironment to immune checkpoint inhibitors (ICI) by reducing immune-suppressive myeloid cells in metastatic clear cell RCC (ccRCC). ICI is the standard first-line (1L) treatment of metastatic ccRCC, and there is unmet need for improved treatment outcomes after progression on ICI. We hypothesized that sitravatinib plus nivolumab would revert an immunosuppressive tumor microenvironment (TME) to improve clinical outcomes.

Methods: In this investigator-initiated, phase II, multicenter trial (NCT04904302), patients with progressive metastatic ccRCC after 1-2 lines of treatment were enrolled into 3 …

A Mapping Review And Critique Of The Literature On Translation, Dissemination, And Implementation Capacity Building Initiatives For Different Audiences, Ana A Baumann, Danielle R Adams, Laura-Mae Baldwin, Rachel G Tabak, Sara Malone, Maura M Kepper, Anita D Misra-Hebert, Kathleen R Stevens, Maria E Fernandez, Sunil Kripalani

Faculty, Staff and Student Publications

Background: Capacity building is critical for research and practice as the fields of dissemination, implementation and translation science continue to grow. Some scholars state that capacity building should be grounded in competencies. However, the fields are unclear in determining which competencies are relevant for whom, including the content and appropriate level of information and skills for different roles. The goal of this study was to catalogue competencies across current D&I capacity building initiatives.

Methods: We conducted a mapping review to examine to what extent are theories or frameworks used to guide capacity building, who is being trained, to what extent …

Polygenic Score Analysis Identifies Distinct Genetic Risk Profiles In Alzheimer’S Disease Comorbidities, Carlos F Hernández, Camilo Villaman, Costin Leu, Dennis Lal, Ignacio Mata, Andrés D Klein, Eduardo Pérez-Palma

Faculty, Staff and Student Publications

Alzheimer’s disease (AD) is usually accompanied by comorbidities such as type 2 diabetes (T2D), epilepsy, major depressive disorder (MDD), and migraine headaches (MH) that can significantly affect patient management and progression. As AD, these comorbidities have their own cumulative common genetic risk component that can be explored in a single individual through polygenic scores. Utilizing data from the UK Biobank, we investigated the correlation between polygenic scores (PGS) for these comorbidities and their actual presentation in AD patients. We show that individuals with higher PGS values showed an elevated risk of developing T2D (OR 2.1, p = 1.07 × 10−11) …

Hif Regulates Multiple Translated Endogenous Retroviruses: Implications For Cancer Immunotherapy, Qinqin Jiang, David A Braun, Karl R Clauser, Vijyendra Ramesh, Nitin H Shirole, Joseph E Duke-Cohan, Nancy Nabilsi, Nicholas J Kramer, Cleo Forman, Isabelle E Lippincott, Susan Klaeger, Kshiti M Phulphagar, Vipheaviny Chea, Nawoo Kim, Allison P Vanasse, Eddy Saad, Teagan Parsons, Melissa Carr-Reynolds, Isabel Carulli, Katarina Pinjusic, Yijia Jiang, Rong Li, Sudeepa Syamala, Suzanna Rachimi, Eva K Verzani, Jonathan D Stevens, William J Lane, Sabrina Y Camp, Kevin Meli, Melissa B Pappalardi, Zachary T Herbert, Xintao Qiu, Paloma Cejas, Henry W Long, Sachet A Shukla, Eliezer M Van Allen, Toni K Choueiri, L Stirling Churchman, Jennifer G Abelin, Cagan Gurer, Gavin Macbeath, Richard W Childs, Steven A Carr, Derin B Keskin, Catherine J Wu, William G Kaelin

Faculty, Staff and Student Publications

Clear cell renal cell carcinoma (ccRCC), despite having a low mutational burden, is considered immunogenic because it occasionally undergoes spontaneous regressions and often responds to immunotherapies. The signature lesion in ccRCC is inactivation of the VHL tumor suppressor gene and consequent upregulation of the HIF transcription factor. An earlier case report described a ccRCC patient who was cured by an allogeneic stem cell transplant and later found to have donor-derived T cells that recognized a ccRCC-specific peptide encoded by a HIF-responsive endogenous retrovirus (ERV), ERVE-4. We report that ERVE-4 is one of many ERVs that are induced by HIF, translated …

Methylome-Wide Association Analyses Of Lipids And Modifying Effects Of Behavioral Factors In Diverse Race And Ethnicity Participants, Yao Hu, Jeff Haessler, Jessica I Lundin, Burcu F Darst, Eric A Whitsel, Megan Grove, Weihua Guan, Rui Xia, Mindy Szeto, Laura M Raffield, Scott Ratliff, Yuxuan Wang, Xuzhi Wang, Alison E Fohner, Megan T Lynch, Yesha M Patel, S Lani Park, Huichun Xu, Braxton D Mitchell, Joshua C Bis, Nona Sotoodehnia, Jennifer A Brody, Bruce M Psaty, Gina M Peloso, Michael Y Tsai, Stephen S Rich, Jerome I Rotter, Jennifer A Smith, Sharon L R Kardia, Alex P Reiner, Leslie Lange, Myriam Fornage, James S Pankow, Mariaelisa Graff, Kari E North, Charles Kooperberg, Ulrike Peters

Faculty, Staff and Student Publications

Circulating lipid concentrations are clinically associated with cardiometabolic diseases. The phenotypic variance explained by identified genetic variants remains limited, highlighting the importance of searching for additional factors beyond genetic sequence variants. DNA methylation has been linked to lipid concentrations in previous studies, although most of the studies harbored moderate sample sizes and exhibited underrepresentation of non-European ancestry populations. In addition, knowledge of nongenetic factors on lipid profiles is extremely limited. In the Population Architecture Using Genomics and Epidemiology (PAGE) Study, we performed methylome-wide association analysis on 9,561 participants from diverse race and ethnicity backgrounds for HDL-c, LDL-c, TC, and TG …

Long-Term Patient-Reported Bowel And Urinary Quality Of Life In Patients Treated With Intensity-Modulated Radiotherapy Versus Intensity-Modulated Proton Therapy For Localized Prostate Cancer, Kimberly R Gergelis, Miao Bai, Jiasen Ma, David M Routman, Bradley J Stish, Brian J Davis, Thomas M Pisansky, Thomas J Whitaker, Richard Choo

Faculty, Staff and Student Publications

Purpose: This study aimed to compare long-term patient-reported outcomes in bowel and urinary domains between intensity-modulated radiotherapy (IMRT) and intensity-modulated proton therapy (IMPT) for localized prostate cancer.

Methods and materials: Patients with clinical T1-T2 prostate cancer receiving IMRT or IMPT at a tertiary cancer center from 2015-2018 were analyzed to determine the changes in the prospectively collected bowel function (BF), urinary irritative/obstructive symptoms (UO), and urinary incontinence (UI) domains of EPIC-26. The mean changes in EPIC-26 scores were evaluated from pretreatment to 24 months post-radiotherapy for each modality. A score change >50% of the baseline standard deviation was considered a …

The Microbiome-Restorative Potential Of Ibezapolstat For The Treatment Of Clostridioides Difficile Infection Is Predicted Through Variant Polc-Type Dna Polymerase Iii In Lachnospiraceae And Oscillospiraceae, Jacob K Mcpherson, Julian G Hurdle, Matthew L Baker, Tahir Hussain, Ashok Kumar, Kevin W Garey

Faculty, Staff and Student Publications

Ibezapolstat (IBZ), a first-in-class antibiotic targeting the PolC-type DNA polymerase III alpha-subunit (PolC) in low G + C bacteria, is in clinical development for the treatment of Clostridioides difficile infection (CDI). In the phase 2 trials, IBZ had potent activity against C. difficile while sparing or causing regrowth of Lachnospiraceae, Oscillospiraceae, and Erysipelotrichales, common commensal low G + C bacteria. The purpose of this study was to utilize in silico approaches to better interpret the narrower than expected IBZ spectrum of activity. IBZ susceptibility to human commensal microbiota was predicted using genomic analysis and PolC phylogenetic tree construction in relation …

Chronic Viral Mimicry Induction Following P53 Loss Promotes Immune Evasion, Charles A Ishak, Sajid A Marhon, Naïri Tchrakian, Anjelica Hodgson, Helen Loo Yau, Isabela M Gonzaga, Melanie Peralta, Ilinca M Lungu, Stephanie Gomez, Sheng-Ben Liang, Shu Yi Shen, Raymond Chen, Jocelyn Chen, Biji Chatterjee, Kevin N Wanniarachchi, Junwoo Lee, Nicholas Zehrbach, Amir Hosseini, Parinaz Mehdipour, Siyu Sun, Alexander Solovyov, Ilias Ettayebi, Kyle E Francis, Aobo He, Taiyi Wu, Shengrui Feng, Tiago Da Silva Medina, Felipe Campos De Almeida, Jane Bayani, Jason Li, Spencer Macdonald, Yadong Wang, Sarah S Garcia, Elisa Arthofer, Noor Diab, Aneil Srivastava, Paul Tran Austin, Peter J B Sabatini, Benjamin D Greenbaum, Catherine A O'Brien, Trevor G Shepherd, Ming Sound Tsao, Katherine B Chiappinelli, Amit M Oza, Blaise A Clarke, Robert Rottapel, Stephanie Lheureux, Daniel D De Carvalho

Faculty, Staff and Student Publications

Epigenetic therapies facilitate transcription of immunogenic repetitive elements that cull cancer cells through ‘viral mimicry’ responses. Paradoxically, cancer-initiating events also facilitate transcription of repetitive elements. Contributions of repetitive element transcription towards cancer initiation, and the mechanisms by which cancer cells evade lethal viral mimicry responses during tumor initiation remain poorly understood. In this report, we characterize premalignant lesions of the fallopian tube along with syngeneic epithelial ovarian cancer models to explore the earliest events of tumorigenesis following loss of the p53 tumor suppressor protein. We report that p53 loss permits transcription of immunogenic repetitive elements and chronic viral mimicry activation …

Conformal Predictive Intervals In Survival Analysis: A Resampling Approach, Jing Qin, Jin Piao, Jing Ning, Yu Shen

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The distribution-free method of conformal prediction has gained considerable attention in computer science, machine learning, and statistics. Candès et al. extended this method to right-censored survival data, addressing right-censoring complexity by creating a covariate shift setting, extracting a subcohort of subjects with censoring times exceeding a fixed threshold. Their approach only estimates the lower prediction bound for type I censoring, where all subjects have available censoring times regardless of their failure status. In medical applications, we often encounter more general right-censored data, observing only the minimum of failure time and censoring time. Subjects with observed failure times have unavailable censoring …

Computational Sensitivity Evaluation Of Ultrasound Neuromodulation Resolution To Brain Tissue Sound Speed With Robust Beamforming, Boqiang Fan, Wayne Goodman, Sameer A Sheth, Richard R Bouchard, Behnaam Aazhang

Faculty, Staff and Student Publications

Low-intensity focused ultrasound (LIFU) neuromodulation requires precise targeting and high resolution enabled by phased array transducers and beamforming. However, focusing optimization usually relies on phantom measurements or simulations with inaccurate acoustic properties to degrade neuromodulation resolution. Therefore, this work analyzes the sensitivity of neuromodulation resolution, measured by off-target activation area (OTAA), to brain tissue sound speed. A Robust Optimal Resolution (ROR) beamforming method is proposed to minimize the worst-case OTAA with restricted sound speed inaccuracy and propagation information estimated with deviated sound speed. The propagation estimation model utilizes equivalent source method (ESM) to map sound field between different acoustic parameter …

General Characteristics Of Patients With Primary Biliary Cholangitis From Türkiye And Denmark, Cumali Efe, Ersin Batıbay, Tugrul Purnak

Faculty, Staff and Student Publications

No abstract provided.

Identifiability And Model Selection Frameworks For Models Of High-Grade Glioma Response To Chemoradiation, Khushi C Hiremath, Kenan Atakishi, Ernesto A B F Lima, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Caroline Chung, Thomas E Yankeelov, David A Hormuth Ii

Faculty, Staff and Student Publications

We have developed a family of biology-based mathematical models of high-grade glioma (HGG), capturing the key features of tumour growth and response to chemoradiation. We now seek to quantify the accuracy of parameter estimation and determine, when given a virtual patient cohort, which model was used to generate the tumours. In this way, we systematically test both the parameter and model identifiability. Virtual patients are generated from unique growth parameters whose growth dynamics are determined by the model family. We then assessed the ability to recover model parameters and select the model used to generate the tumour. We then evaluated …