Digital Commons Network^™

Verbal Learning And Memory Deficits Across Neurological And Neuropsychiatric Disorders: Insights From An Enigma Mega Analysis, Eamonn Kennedy, Spencer W Liebel, Hannah M Lindsey, Shashank Vadlamani, Pui-Wa Lei, Maheen M Adamson, Martin Alda, Silvia Alonso-Lana, Tim J Anderson, Celso Arango, Robert F Asarnow, Mihai Avram, Rosa Ayesa-Arriola, Talin Babikian, Nerisa Banaj, Laura J Bird, Stefan Borgwardt, Amy Brodtmann, Katharina Brosch, Karen Caeyenberghs, Vince D Calhoun, Nancy D Chiaravalloti, David X Cifu, Benedicto Crespo-Facorro, John C Dalrymple-Alford, Kristen Dams-O'Connor, Udo Dannlowski, David Darby, Nicholas Davenport, John Deluca, Covadonga M Diaz-Caneja, Seth G Disner, Ekaterina Dobryakova, Stefan Ehrlich, Carrie Esopenko, Fabio Ferrarelli, Lea E Frank, Carol E Franz, Paola Fuentes-Claramonte, Helen Genova, Christopher C Giza, Janik Goltermann, Dominik Grotegerd, Marius Gruber, Alfonso Gutierrez-Zotes, Minji Ha, Jan Haavik, Charles Hinkin, Kristen R Hoskinson, Daniela Hubl, Andrei Irimia, Andreas Jansen, Michael Kaess, Xiaojian Kang, Kimbra Kenney, Barbora Keřková, Mohamed Salah Khlif, Minah Kim, Jochen Kindler, Tilo Kircher, Karolina Knížková, Knut K Kolskår, Denise Krch, William S Kremen, Taylor Kuhn, Veena Kumari, Junsoo Kwon, Roberto Langella, Sarah Laskowitz, Jungha Lee, Jean Lengenfelder, Victoria Liou-Johnson, Sara M Lippa, Marianne Løvstad, Astri J Lundervold, Cassandra Marotta, Craig A Marquardt, Paulo Mattos, Ahmad Mayeli, Carrie R Mcdonald, Susanne Meinert, Tracy R Melzer, Jessica Merchán-Naranjo, Chantal Michel, Rajendra A Morey, Benson Mwangi, Daniel J Myall, Igor Nenadić, Mary R Newsome, Abraham Nunes, Terence O'Brien, Viola Oertel, John Ollinger, Alexander Olsen, Victor Ortiz García De La Foz, Mustafa Ozmen, Heath Pardoe, Marise Parent, Fabrizio Piras, Federica Piras, Edith Pomarol-Clotet, Jonathan Repple, Geneviève Richard, Jonathan Rodriguez, Mabel Rodriguez, Kelly Rootes-Murdy, Jared Rowland, Nicholas P Ryan, Raymond Salvador, Anne-Marthe Sanders, Andre Schmidt, Jair C Soares, Gianfranco Spalleta, Filip Španiel, Scott R Sponheim, Alena Stasenko, Frederike Stein, Benjamin Straube, April Thames, Florian Thomas-Odenthal, Sophia I Thomopoulos, Erin B Tone, Ivan Torres, Maya Troyanskaya, Jessica A Turner, Kristine M Ulrichsen, Guillermo Umpierrez, Daniela Vecchio, Elisabet Vilella, Lucy Vivash, William C Walker, Emilio Werden, Lars T Westlye, Krista Wild, Adrian Wroblewski, Mon-Ju Wu, Glenn R Wylie, Lakshmi N Yatham, Giovana B Zunta-Soares, Paul M Thompson, Mary Jo Pugh, David F Tate, Frank G Hillary, Elisabeth A Wilde, Emily L Dennis

Faculty, Staff and Student Publications

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinson's disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest …

Kibra Anchoring The Action Of Pkmζ Maintains The Persistence Of Memory, Panayiotis Tsokas, Changchi Hsieh, Rafael E Flores-Obando, Matteo Bernabo, Andrew Tcherepanov, A Iván Hernández, Christian Thomas, Peter J Bergold, James E Cottrell, Joachim Kremerskothen, Harel Z Shouval, Karim Nader, André A Fenton, Todd C Sacktor

Faculty, Staff and Student Publications

How can short-lived molecules selectively maintain the potentiation of activated synapses to sustain long-term memory? Here, we find kidney and brain expressed adaptor protein (KIBRA), a postsynaptic scaffolding protein genetically linked to human memory performance, complexes with protein kinase Mzeta (PKMζ), anchoring the kinase's potentiating action to maintain late-phase long-term potentiation (late-LTP) at activated synapses. Two structurally distinct antagonists of KIBRA-PKMζ dimerization disrupt established late-LTP and long-term spatial memory, yet neither measurably affects basal synaptic transmission. Neither antagonist affects PKMζ-independent LTP or memory that are maintained by compensating PKCs in ζ-knockout mice; thus, both agents require PKMζ for their effect. …

Randomized Controlled Trial Of Enteral Vitamin D Supplementation (Vides) In Infants <28 Weeks Gestational Age Or <1000 G Birth Weight: Study Protocol, Mar Romero-Lopez, Jon E Tyson, Mamta Naik, Claudia Pedroza, Lindsay F Holzapfel, Elenir Avritscher, Ricardo Mosquera, Amir Khan, Matthew Rysavy

Faculty, Staff and Student Publications

BACKGROUND: Vitamin D is necessary to develop healthy lungs and other organs early in life. Most infants born before 28 weeks' gestation have low vitamin D levels at birth and a limited intake during the first month. Enteral vitamin D supplementation is inexpensive and widely used. The appropriate supplementation regimen for extremely preterm infants is controversial, and the effect of different regimens on their blood levels and outcomes is unclear.

METHODS: Randomized, blinded comparative effectiveness trial to compare two vitamin D supplementation regimens for inborn infants(400 IU/day with established feedings) or increased supplementation (800 IU/day with any feedings) during the …

Author Correction: Plasmonic Nano-Aperture Label-Free Imaging Of Single Small Extracellular Vesicles For Cancer Detection, Nareg Ohannesian, Mohammad Sadman Mallick, Jianzhong He, Yawei Qiao, Nan Li, Simona F Shaitelman, Chad Tang, Eileen H Shinn, Wayne L Hofstetter, Alexei Goltsov, Manal M Hassan, Kelly K Hunt, Steven H Lin, Wei-Chuan Shih

Faculty, Staff and Student Publications

No abstract provided.

Cgmp Compliant One-Step, One-Pot Automated [18f]Fbntp Production For Clinical Imaging Of Mitochondrial Activity, Mai Lin, Cong-Dat Pham, Robert T Ta, H Charles Manning

Faculty, Staff and Student Publications

Background

4-[18F]fluorobenzyl-triphenylphosphonium ([18F]FBnTP) is a lipophilic cation PET tracer. The cellular uptake of [18F]FBnTP is correlated with oxidative phosphorylation by mitochondria, which has been associated with multiple critical diseases. To date, [18F]FBnTP has been successfully applied for imaging myocardial perfusion, assessment of severity of coronary artery stenosis, delineation of the ischemic area after transient coronary occlusion, and detection/quantification of apoptosis in various animal models. Recent preclinical and clinical studies have also expanded the possibilities of using [18F]FBnTP in oncological diagnosis and therapeutic monitoring. However, [18F]FBnTP is typically prepared through a tediously lengthy four-step, three-pot reaction and required multiple synthesizer modules; …

The Significant Associations Between Epigenetic Clocks And Bladder Cancer Risks, Yang Deng, Chia-Wen Tsai, Wen-Shin Chang, Yifan Xu, Maosheng Huang, Da-Tian Bau, Jian Gu

Faculty, Staff and Student Publications

Bladder cancer is an age-related disease, with over three-quarters of cases occurring in individuals aged 65 years and older. Accelerated biological aging has been linked to elevated cancer risks. Epigenetic clocks serve as excellent predictors of biological age, yet it remains unclear whether they are associated with bladder cancer risk. In this large case-control study, we assessed the associations between four well-established epigenetic clocks-HannumAge, HorvathAge, GrimAge, and PhenoAge-and bladder cancer risk. Utilizing single nucleotide polymorphisms (SNPs), which were identified in a genome-wide association study (GWAS), linked to these clocks as instruments, we constructed a weighted genetic risk score (GRS) for …

Contribution Of Matrix Metalloproteinase-2 And Matrix Metalloproteinase-9 To Upper Tract Urothelial Cancer Risk In Taiwan, Bo-Ren Wang, Hung-Huan Ma, Chao-Hsiang Chang, Cheng-Hsi Liao, Wen-Shin Chang, Mei-Chin Mong, Ya-Chen Yang, Jian Gu, Da-Tian Bau, Chia-Wen Tsai

Faculty, Staff and Student Publications

Matrix metalloproteinase (MMP)-2 and -9, which degrade type IV collagen, are linked to cancer invasion and metastasis. Gene polymorphisms in MMP-2 and MMP-9 can influence their function, impacting cancer development and progression. This study analyzed the association between polymorphisms MMP-2 rs243865 (C-1306T), rs2285053 (C-735T), and MMP-9 rs3918242 (C-1562T) with serum concentrations of these enzymes in upper tract urothelial cancer (UTUC) patients. We conducted a case-control study with 218 UTUC patients and 580 healthy individuals in Taiwan. Genotyping was performed using PCR/RFLP on DNA from blood samples, and MMP-2 and MMP-9 serum levels and mRNA expressions in 30 UTUC patients were …

Cross-Sectional Analysis Of The Association Between Household Food Insecurity And Mental Health Conditions In Children Aged 5–11 Years In Canada, Justin Thielman, Sarah Orr, Saranya Naraentheraraja, Daniel Harrington, Sarah Carsley

Faculty, Staff and Student Publications

BACKGROUND: Children living in food insecure households have poorer mental health outcomes compared with their food-secure peers; however, the relationship between the severity of food insecurity and diagnosed mental health conditions in young children remains unknown. This study examined the association between household food insecurity and reported diagnosed mental health conditions among children aged 5-11 years in Canada.

METHODS: This study included 16 216 children aged 5-11 years living in Canada, from the 2019 Canadian Health Survey on Children and Youth. We measured household food insecurity using the Household Food Security Survey Module. We measured diagnosed mental health conditions by …

The Relationship Between Medication Beliefs, Patient Activation, And Self-Rated Health In Patients Taking Oral Anticancer Agents, Misun Hwang, Youmin Cho, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Purpose: Patients on oral anticancer agent (OAA) therapies have the autonomy to manage their cancer treatments in home settings. However, patients may not have adequate knowledge, confidence, or ability to effectively manage OAA-related consequences, which can significantly impact their treatment and health outcomes. This study aims to identify the associations between medication beliefs, patient activation, and self-rated health (SRH) among oncology patients taking OAAs and explore the potential mediation effects of patient activation on the relationship between medication beliefs and SRH.

Methods: A secondary data analysis was conducted on cross-sectional data from 114 patients who were diagnosed with breast, colorectal, …

Discovery Of Runs-Of-Homozygosity Diplotype Clusters And Their Associations With Diseases In Uk Biobank, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number …

Association Between Obstructive Sleep Apnea And Risk Of Benign Vocal Fold Lesions: A Nationwide 9-Year Follow-Up Cohort Study, Yong Tae Hong, Min Gu Kang, Min Gyu Lee, Sang Woo Yeom, Jong Seung Kim

Faculty, Staff and Student Publications

Since obstructive sleep apnea (OSA) affects various parts of the body, there has been little interest about the effect of OSA on voice. The objective of this study was to evaluate the risk of benign vocal fold lesions (BVFL) in OSA patients. This study used data from the National Health Insurance Service (NHIS) database. The study group was defined as the group diagnosed with OSA between 2008 and 2011. Non-OSA groups were selected based on propensity score (PS) matching. Incidence of BVFL among participants during the follow-up was analyzed. Cox proportional hazard regression analyses were performed to evaluate the association …

Study Of Prognostic Splicing Factors In Cancer Using Machine Learning Approaches, Mengyuan Yang, Jiajia Liu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Splicing factors (SFs) are the major RNA-binding proteins (RBPs) and key molecules that regulate the splicing of mRNA molecules through binding to mRNAs. The expression of splicing factors is frequently deregulated in different cancer types, causing the generation of oncogenic proteins involved in cancer hallmarks. In this study, we investigated the genes that encode RNA-binding proteins and identified potential splicing factors that contribute to the aberrant splicing applying a random forest classification model. The result suggested 56 splicing factors were related to the prognosis of 13 cancers, two SF complexes in liver hepatocellular carcinoma, and one SF complex in esophageal …

Protocol For Seahorse Analysis Of Ex Vivo Mouse Brown And White Adipose Tissues, Fenfen Wang, Phu M Huynh, Yu A An

Faculty, Staff and Student Publications

The mitochondrial stress test is a gold-standard approach for assessing adipose tissue physiological functions and pathological changes. Here, we present a protocol for conducting Seahorse assays using ex vivo mouse brown and white adipose depots. We describe steps for rehydrating the cartridge, preparing freshly harvested fat depots, placing them onto an islet capture plate, and incubating them in a non-CO2 incubator. We then detail procedures for adding mitochondrial stressor solutions and conducting the mitochondrial stress test using the Seahorse XFe24 Analyzer. For complete details on the use and execution of this protocol, please refer to An et al.1.

Understanding Enterprise Data Warehouses To Support Clinical And Translational Research: Impact, Sustainability, Demand Management, And Accessibility, Thomas R Campion, Catherine K Craven, David A Dorr, Elmer V Bernstam, Boyd M Knosp

Faculty, Staff and Student Publications

OBJECTIVES: Healthcare organizations, including Clinical and Translational Science Awards (CTSA) hubs funded by the National Institutes of Health, seek to enable secondary use of electronic health record (EHR) data through an enterprise data warehouse for research (EDW4R), but optimal approaches are unknown. In this qualitative study, our goal was to understand EDW4R impact, sustainability, demand management, and accessibility.

MATERIALS AND METHODS: We engaged a convenience sample of informatics leaders from CTSA hubs (n = 21) for semi-structured interviews and completed a directed content analysis of interview transcripts.

RESULTS: EDW4R have created institutional capacity for single- and multi-center studies, democratized access …

A Taxonomy For Advancing Systematic Error Analysis In Multi-Site Electronic Health Record-Based Clinical Concept Extraction, Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn

Faculty, Staff and Student Publications

Background: Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic factors contributing to their occurrence, and the identification of underlying causes to refine the NLP model and improve its performance. Conducting error analysis can be complex, requiring a combination of NLP expertise and domain-specific knowledge. Due to the high heterogeneity of electronic health record (EHR) settings across different institutions, challenges may arise when attempting to standardize and reproduce the error analysis process.

Objectives: This study …

Implementation Of A Health Information Technology Safety Classification System In The Veterans Health Administration’S Informatics Patient Safety Office, Danielle Kato, Joe Lucas, Dean F Sittig

Faculty, Staff and Student Publications

Objective: Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.

Materials and methods: A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.

Results: Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user …

Validating Risk Prediction Models For Multiple Primaries And Competing Cancer Outcomes In Families With Li-Fraumeni Syndrome Using Clinically Ascertained Data, Nam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor, Jacynda Woodman-Ross, Sierra Green, Angelica M Gutierrez, Banu K Arun, Wenyi Wang

Faculty, Staff and Student Publications

PURPOSE: There exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize that this barrier may be lifted by demonstrating the utility of these models using incomplete data that are collected in real clinical sessions, as compared with the commonly used research cohorts that are meticulously collected.

MATERIALS AND METHODS: Genetic counselors (GCs) collect family history when patients (ie, probands) come to MD Anderson Cancer Center for risk assessment of Li-Fraumeni syndrome, a genetic disorder characterized by deleterious germline mutations in the

RESULTS: For prediction of deleterious

CONCLUSION: We describe a study that fills in …

L-Citrulline Supplementation Improves Arterial Blood Flow And Muscle Oxygenation During Handgrip Exercise In Hypertensive Postmenopausal Women, Yejin Kang, Katherine N Dillon, Mauricio A Martinez, Arun Maharaj, Stephen M Fischer, Arturo Figueroa

Faculty, Staff and Student Publications

Endothelial dysfunction decreases exercise limb blood flow (BF) and muscle oxygenation. Acute L-Citrulline supplementation (CIT) improves muscle tissue oxygen saturation index (TSI) and deoxygenated hemoglobin (HHb) during exercise. Although CIT improves endothelial function (flow-mediated dilation [FMD]) in hypertensive women, the impact of CIT on exercise BF and muscle oxygenation (TSI) and extraction (HHb) are unknown. We examined the effects of CIT (10 g/day) and a placebo for 4 weeks on blood pressure (BP), arterial vasodilation (FMD, BF, and vascular conductance [VC]), and forearm muscle oxygenation (TSI and HHb) at rest and during exercise in 22 hypertensive postmenopausal women. Compared to …

Neuroecological Links Of The Exposome And One Health, Agustin Ibanez, Lucia Melloni, Paweł Świeboda, William Hynes, Burcin Ikiz, Rym Ayadi, Massamba Thioye, Consuelo Walss-Bass, Bahar Güntekin, Jyoti Mishra, Mohamed Salama, Sarah Dunlop, Claudia Duran-Aniotz, Harris A Eyre

Faculty, Staff and Student Publications

This NeuroView assesses the interplay among exposome, One Health, and brain capital in health and disease. Physical and social exposomes affect brain health, and green brain skills are required for environmental health strategies. Ibanez et al. address current gaps and strategies needed in research, policy, and technology, offering a road map for stakeholders.

Fate-Mapping And Functional Dissection Reveal Perilous Influence Of Type I Interferon Signaling In Mouse Brain Aging, Ethan R Roy, Sanming Li, Sepideh Saroukhani, Yanyu Wang, Wei Cao

Faculty, Staff and Student Publications

Background: Aging significantly elevates the risk of developing neurodegenerative diseases. Neuroinflammation is a universal hallmark of neurodegeneration as well as normal brain aging. Which branches of age-related neuroinflammation, and how they precondition the brain toward pathological progression, remain ill-understood. The presence of elevated type I interferon (IFN-I) has been documented in the aged brain, but its role in promoting degenerative processes, such as the loss of neurons in vulnerable regions, has not been studied in depth.

Methods: To comprehend the scope of IFN-I activity in the aging brain, we surveyed IFN-I-responsive reporter mice at multiple ages. We also examined 5- …

Targeting Mcl1-Driven Anti-Apoptotic Pathways Overcomes Blast Progression After Hypomethylating Agent Failure In Chronic Myelomonocytic Leukemia, Guillermo Montalban-Bravo, Natthakan Thongon, Juan Jose Rodriguez-Sevilla, Feiyang Ma, Irene Ganan-Gomez, Hui Yang, Yi June Kim, Vera Adema, Bethany Wildeman, Tomoyuki Tanaka, Faezeh Darbaniyan, Gheath Al-Atrash, Karen Dwyer, Sanam Loghavi, Rashmi Kanagal-Shamanna, Xingzhi Song, Jianhua Zhang, Koichi Takahashi, Hagop Kantarjian, Guillermo Garcia-Manero, Simona Colla

Faculty, Staff and Student Publications

RAS pathway mutations, which are present in 30% of patients with chronic myelomonocytic leukemia (CMML) at diagnosis, confer a high risk of resistance to and progression after hypomethylating agent (HMA) therapy, the current standard of care for the disease. Here, using single-cell, multi-omics technologies, we seek to dissect the biological mechanisms underlying the initiation and progression of RAS pathway-mutated CMML. We identify that RAS pathway mutations induce transcriptional reprogramming of hematopoietic stem and progenitor cells (HSPCs) and downstream monocytic populations in response to cell-intrinsic and -extrinsic inflammatory signaling that also impair the functions of immune cells. HSPCs expand at disease …

Sre-Yolov8: : An Improved Uav Object Detection Model Utilizing Swin Transformer And Re-Fpn, Jun Li, Jiajie Zhang, Yanhua Shao, Feng Liu

Faculty, Staff and Student Publications

To tackle the intricate challenges associated with the low detection accuracy of images taken by unmanned aerial vehicles (UAVs), arising from the diverse sizes and types of objects coupled with limited feature information, we present the SRE-YOLOv8 as an advanced method. Our method enhances the YOLOv8 object detection algorithm by leveraging the Swin Transformer and a lightweight residual feature pyramid network (RE-FPN) structure. Firstly, we introduce an optimized Swin Transformer module into the backbone network to preserve ample global contextual information during feature extraction and to extract a broader spectrum of features using self-attention mechanisms. Subsequently, we integrate a Residual …

Maldi Imaging Mass Spectrometry Visualizes The Distribution Of Antidepressant Duloxetine And Its Major Metabolites In Mouse Brain, Liver, Kidney, And Spleen Tissues, Saleh M Khalil, Xuan Qin, John M Hakenjos, Jian Wang, Zhaoyong Hu, Xinli Liu, Jin Wang, Mirjana Maletic-Savatic, Kevin R Mackenzie, Martin M Matzuk, Feng Li

Faculty, Staff and Student Publications

Imaging mass spectrometry (IMS) is a powerful tool for mapping the spatial distribution of unlabeled drugs and metabolites that may find application in assessing drug delivery, explaining drug efficacy, and identifying potential toxicity. This study focuses on determining the spatial distribution of the antidepressant duloxetine, which is widely prescribed despite common adverse effects (liver injury, constant headaches) whose mechanisms are not fully understood. We used high-resolution IMS with matrix-assisted laser desorption/ionization to examine the distribution of duloxetine and its major metabolites in four mouse organs where it may contribute to efficacy or toxicity: brain, liver, kidney, and spleen. In none …

Diverse Mentoring Connections Across Institutional Boundaries In The Biomedical Sciences: Innovative Graph Database Analysis, Toufeeq Ahmed Syed, Erika L Thompson, Zainab Latif, Jay Johnson, Damaris Javier, Katie Stinson, Gabrielle Saleh, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

BACKGROUND: With an overarching goal of increasing diversity and inclusion in biomedical sciences, the National Research Mentoring Network (NRMN) developed a web-based national mentoring platform (MyNRMN) that seeks to connect mentors and mentees to support the persistence of underrepresented minorities in the biomedical sciences. As of May 15, 2024, the MyNRMN platform, which provides mentoring, networking, and professional development tools, has facilitated more than 12,100 unique mentoring connections between faculty, students, and researchers in the biomedical domain.

OBJECTIVE: This study aimed to examine the large-scale mentoring connections facilitated by our web-based platform between students (mentees) and faculty (mentors) across institutional …

In-Silico Analysis Of Tmem2 As A Pancreatic Adenocarcinoma And Cancer-Associated Fibroblast Biomarker, And Functional Characterization Of Nsc777201, For Targeted Drug Development, Prateeti Srivastava, Vijesh Kumar Yadav, Tzu-Hao Chang, Emily Chia-Yu Su, Bashir Lawal, Alexander Th Wu, Hsu-Shan Huang

Faculty, Staff and Student Publications

Pancreatic adenocarcinoma (PAAD), known as one of the deadliest cancers, is characterized by a complex tumor microenvironment, primarily comprised of cancer-associated fibroblasts (CAFs) in the extracellular matrix. These CAFs significantly alter the matrix by interacting with hyaluronic acid (HA) and the enzyme hyaluronidase, which degrades HA - an essential process for cancer progression and spread. Despite the critical role of this interaction, the specific functions of CAFs and hyaluronidase in PAAD development are not fully understood. Our study investigates this interaction and assesses NSC777201, a new anti-cancer compound targeting hyaluronidase. This research utilized computational methods to analyze gene expression data …

Deepcg: A Cell Graph Model For Predicting Prognosis In Lung Adenocarcinoma, Baoyi Zhang, Chenyang Li, Jia Wu, Jianjun Zhang, Chao Cheng

Faculty, Staff and Student Publications

Lung cancer is the first leading cause of cancer-related death in the United States, with lung adenocarcinoma as the major subtype accounting for 40% of all cases. To improve patient survival, image-based prognostic models were developed due to the ready availability of pathological images at diagnosis. However, the application of these models is hampered by two main challenges: the lack of publicly available image datasets with high-quality survival information and the poor interpretability of conventional convolutional neural network models. Here, we integrated matched transcriptomic and H&E staining data from TCGA (The Cancer Genome Atlas) to develop an image-based prognostic model, …

Variance-Components Tests For Genetic Association With Multiple Interval-Censored Outcomes, Jaihee Choi, Zhichao Xu, Ryan Sun

Faculty, Staff and Student Publications

Massive genetic compendiums such as the UK Biobank have become an invaluable resource for identifying genetic variants that are associated with complex diseases. Due to the difficulties of massive data collection, a common practice of these compendiums is to collect interval-censored data. One challenge in analyzing such data is the lack of methodology available for genetic association studies with interval-censored data. Genetic effects are difficult to detect because of their rare and weak nature, and often the time-to-event outcomes are transformed to binary phenotypes for access to more powerful signal detection approaches. However transforming the data to binary outcomes can …

Update On Outbreak Of Fungal Meningitis Among Us Residents Who Received Epidural Anesthesia At Two Clinics In Matamoros, Mexico, Dallas J Smith, Jeremy A W Gold, Tom Chiller, Nirma D Bustamante, Maria Julia Marinissen, Gabriel Garcia Rodriquez, Vladimir Brian Gonzalez Cortes, Celida Duque Molina, Samantha Williams, Axel A Vazquez Deida, Katrina Byrd, Peter G Pappas, Thomas F Patterson, Nathan P Wiederhold, George R Thompson, Luis Ostrosky-Zeichner

Faculty, Staff and Student Publications

Background: Public health officials are responding to an outbreak of fungal meningitis among patients who received procedures under epidural anesthesia at 2 clinics (River Side Surgical Center and Clinica K-3) in Matamoros, Mexico, during 1 January to 13 May 2023. This report describes outbreak epidemiology and outlines interim diagnostic and treatment recommendations.

Methods: Interim recommendations for diagnosis and management were developed by the Mycoses Study Group Research Education and Consortium (MSGERC) based on the clinical experience of clinicians caring for patients during the current outbreak or during previous outbreaks of healthcare-associated fungal meningitis in Durango, Mexico, and the United States. …

Identification And Characterization Of Cannabichromene's Major Metabolite Following Incubation With Human Liver Microsomes, Alexandra M Ward, Touraj Shokati, Jost Klawitter, Jelena Klawitter, Vu Nguyen, Laura Kozell, Atheir I Abbas, David Jones, Uwe Christians

Faculty, Staff and Student Publications

Cannabichromene (CBC) is a minor cannabinoid within the array of over 120 cannabinoids identified in the Cannabis sativa plant. While CBC does not comprise a significant portion of whole plant material, it is available to the public in a purified and highly concentrated form. As minor cannabinoids become more popular due to their potential therapeutic properties, it becomes crucial to elucidate their metabolism in humans. Therefore, the goal of this was study to identify the major CBC phase I-oxidized metabolite generated in vitro following incubation with human liver microsomes. The novel metabolite structure was identified as 2′-hydroxycannabicitran using gas chromatography–mass …

Identifying Mage-A4-Positive Tumors For Tcr T Cell Therapies In Hla-A∗02-Eligible Patients, Tianjiao Wang, Jean-Marc Navenot, Stavros Rafail, Cynthia Kurtis, Mark Carroll, Marian Van Kerckhoven, Sofie Van Rossom, Kelly Schats, Konstantinos Avraam, Robyn Broad, Karen Howe, Ashley Liddle, Amber Clayton, Ruoxi Wang, Laura Quinn, Joseph P Sanderson, Cheryl Mcalpine, Carly Carozza, Eric Pimpinella, Susan Hsu, Francine Brophy, Erica Elefant, Paige Bayer, Dennis Williams, Marcus O Butler, Jeffrey M Clarke, Justin F Gainor, Ramaswamy Govindan, Victor Moreno, Melissa Johnson, Janet Tu, David S Hong, George R Blumenschein

Faculty, Staff and Student Publications

T cell receptor (TCR) T cell therapies target tumor antigens in a human leukocyte antigen (HLA)-restricted manner. Biomarker-defined therapies require validation of assays suitable for determination of patient eligibility. For clinical trials evaluating TCR T cell therapies targeting melanoma-associated antigen A4 (MAGE-A4), screening in studies NCT02636855 and NCT04044768 assesses patient eligibility based on: (1) high-resolution HLA typing and (2) tumor MAGE-A4 testing via an immunohistochemical assay in HLA-eligible patients. The HLA/MAGE-A4 assays validation, biomarker data, and their relationship to covariates (demographics, cancer type, histopathology, tissue location) are reported here. HLA-A∗02 eligibility was 44.8% (2,959/6,606) in patients from 43 sites across …