Biomedical Informatics Commons^™

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 …

Considerations For Quality Control Monitoring Of Machine Learning Models In Clinical Practice, Louis Faust, Patrick Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu, Xiaoyang Ruan, Curt Storlie

Faculty, Staff and Student Publications

Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over time. While existing literature offers valuable strategies for detecting declining model performance, there is a need to document the broader challenges and solutions associated with the real-world development and integration of model monitoring solutions. This work details the development and use of a platform for monitoring the performance of a production-level ML model operating in Mayo Clinic. In this paper, we aimed to provide a series of considerations and guidelines necessary for integrating such a platform into a team's technical infrastructure and workflow. We …

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. …

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.

Type I Conventional Dendritic Cells Facilitate Immunotherapy In Pancreatic Cancer, Krishnan K Mahadevan, Allison M Dyevoich, Yang Chen, Bingrui Li, Hikaru Sugimoto, Amari M Sockwell, Kathleen M Mcandrews, Lakshmi Kavitha Sthanam, Huamin Wang, Shabnam Shalapour, Stephanie S Watowich, Raghu Kalluri

Faculty, Staff and Student Publications

Inflammation and tissue damage associated with pancreatitis can precede or occur concurrently with pancreatic ductal adenocarcinoma (PDAC). We demonstrate that in PDAC coupled with pancreatitis (ptPDAC), antigen-presenting type I conventional dendritic cells (cDC1s) are specifically activated. Immune checkpoint blockade therapy (iCBT) leads to cytotoxic CD8+ T cell activation and elimination of ptPDAC with restoration of life span even upon PDAC rechallenge. Using PDAC antigen-loaded cDC1s as a vaccine, immunotherapy-resistant PDAC was rendered sensitive to iCBT with elimination of tumors. cDC1 vaccination coupled with iCBT identified specific CDR3 sequences in the tumor-infiltrating CD8+ T cells with potential therapeutic importance. This study …

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 …

Developing A Fit-For-Purpose Composite Symptom Score As A Symptom Burden Endpoint For Clinical Trials In Patients With Malignant Pleural Mesothelioma, Charles S Cleeland, Karen N Keating, Brian Cuffel, Cem Elbi, Jonathan M Siegel, Christoph Gerlinger, Tara Symonds, Jeff A Sloan, Amylou C Dueck, Andrew Bottomley, Xin Shelley Wang, Loretta A Williams, Tito R Mendoza

Faculty, Staff and Student Publications

We developed a composite symptom score (CSS) representing disease-related symptom burden over time in patients with malignant pleural mesothelioma (MPM). Longitudinal data were collected from an open-label Phase IIB study in which 239 patients completed the validated MD Anderson Symptom Inventory for MPM (MDASI-MPM). A blinded, independent review committee of external patient-reported outcomes experts advised on MDASI-MPM symptoms to include in the CSS. Through iterative analyses of potential symptom-item combinations, 5 MPM symptoms (pain, fatigue, shortness of breath, muscle weakness, coughing) were selected. The CSS correlated strongly with the full MDASI-MPM symptom set (0.92-0.94) and the Lung Cancer Symptom Scale-Mesothelioma …

Mettl3-Mediated Chromatin Contacts Promote Stress Granule Phase Separation Through Metabolic Reprogramming During Senescence, Chen Wang, Hideki Tanizawa, Connor Hill, Aaron Havas, Qiang Zhang, Liping Liao, Xue Hao, Xue Lei, Lu Wang, Hao Nie, Yuan Qi, Bin Tian, Alessandro Gardini, Andrew V Kossenkov, Aaron Goldman, Shelley L Berger, Ken-Ichi Noma, Peter D Adams, Rugang Zhang

Faculty, Staff and Student Publications

METTL3 is the catalytic subunit of the methyltransferase complex, which mediates m6A modification to regulate gene expression. In addition, METTL3 regulates transcription in an enzymatic activity-independent manner by driving changes in high-order chromatin structure. However, how these functions of the methyltransferase complex are coordinated remains unknown. Here we show that the methyltransferase complex coordinates its enzymatic activity-dependent and independent functions to regulate cellular senescence, a state of stable cell growth arrest. Specifically, METTL3-mediated chromatin loops induce Hexokinase 2 expression through the three-dimensional chromatin organization during senescence. Elevated Hexokinase 2 expression subsequently promotes liquid-liquid phase separation, manifesting as stress granule phase …

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 …

Car T-Cell Expansion: Harmful Or Helpful?, Anath C Lionel, Sattva S Neelapu

Faculty, Staff and Student Publications

No abstract provided.

Hypoxia Inducible Factor 2Α Promotes Tolerogenic Macrophage Development During Cardiac Transplantation Through Transcriptional Regulation Of Colony Stimulating Factor 1 Receptor, Matthew Deberge, Samantha Schroth, Fanfan Du, Xin Yi Yeap, Jiao-Jing Wang, Zheng Jenny Zhang, Mohammed Javeed Ansari, Evan A Scott, Edward B Thorp

Faculty, Staff and Student Publications

Solid organ transplantation mobilizes myeloid cells, including monocytes and macrophages, which are central protagonists of allograft rejection. However, myeloid cells can also be functionally reprogrammed by perioperative costimulatory blockade to promote a state of transplantation tolerance. Transplantation tolerance holds promise to reduce complications from chronic immunosuppression and promote long-term survival in transplant recipients. We sought to identify different mediators of transplantation tolerance by performing single-cell RNA sequencing of acute rejecting or tolerized cardiac allografts. This led to the unbiased identification of the transcription factor, hypoxia inducible factor (HIF)-2α, in a subset of tolerogenic monocytes. Using flow cytometric analyses and mice …

Cracd Loss Induces Neuroendocrine Cell Plasticity Of Lung Adenocarcinoma, Bongjun Kim, Shengzhe Zhang, Yuanjian Huang, Kyung-Pil Ko, Youn-Sang Jung, Jinho Jang, Gengyi Zou, Jie Zhang, Sohee Jun, Kee-Beom Kim, Kwon-Sik Park, Jae-Il Park

Faculty, Staff and Student Publications

Tumor cell plasticity contributes to intratumoral heterogeneity and therapy resistance. Through cell plasticity, some lung adenocarcinoma (LUAD) cells transform into neuroendocrine (NE) tumor cells. However, the mechanisms of NE cell plasticity remain unclear. CRACD (capping protein inhibiting regulator of actin dynamics), a capping protein inhibitor, is frequently inactivated in cancers. CRACD knockout (KO) is sufficient to de-repress NE-related gene expression in the pulmonary epithelium and LUAD cells. In LUAD mouse models, Cracd KO increases intratumoral heterogeneity with NE gene expression. Single-cell transcriptomic analysis showed that Cracd KO-induced NE cell plasticity is associated with cell de-differentiation and stemness-related pathway activation. The …

A Spatiotemporal Map Of Co-Receptor Signaling Networks Underlying B Cell Activation, Katherine J Susa, Gary A Bradshaw, Robyn J Eisert, Charlotte M Schilling, Marian Kalocsay, Stephen C Blacklow, Andrew C Kruse

Faculty, Staff and Student Publications

The B cell receptor (BCR) signals together with a multi-component co-receptor complex to initiate B cell activation in response to antigen binding. Here, we take advantage of peroxidase-catalyzed proximity labeling combined with quantitative mass spectrometry to track co-receptor signaling dynamics in Raji cells from 10 s to 2 h after BCR stimulation. This approach enables tracking of 2,814 proximity-labeled proteins and 1,394 phosphosites and provides an unbiased and quantitative molecular map of proteins recruited to the vicinity of CD19, the signaling subunit of the co-receptor complex. We detail the recruitment kinetics of signaling effectors to CD19 and identify previously uncharacterized …

Achieving Fairness Across Local And Global Models In Federated Learning, Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim

Faculty, Staff and Student Publications

Achieving fairness across diverse clients in Federated Learning (FL) remains a significant challenge due to the heterogeneity of the data and the inaccessibility of sensitive attributes from clients' private datasets. This study addresses this issue by introducing \texttt{EquiFL}, a novel approach designed to enhance both local and global fairness in federated learning environments. \texttt{EquiFL} incorporates a fairness term into the local optimization objective, effectively balancing local performance and fairness. The proposed coordination mechanism also prevents bias from propagating across clients during the collaboration phase. Through extensive experiments across multiple benchmarks, we demonstrate that \texttt{EquiFL} not only strikes a better balance …

An Improved Method For Diagnosis Of Parkinson’S Disease Using Deep Learning Models Enhanced With Metaheuristic Algorithm, Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao

Faculty, Staff and Student Publications

Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early stages. Quantitative measures of brain health can be obtained safely and non-invasively using medical imaging techniques like magnetic resonance imaging (MRI) and single photon emission computed tomography (SPECT). For accurate diagnosis of PD, powerful machine learning and deep learning models as well as the effectiveness of medical imaging tools for assessing neurological health are required. This study proposes four deep learning models with a hybrid model for the early detection of PD. For the simulation study, two standard datasets are chosen. Further to improve the performance of …

Integration Of Electrospun Scaffolds And Biological Polymers For Enhancing The Delivery And Efficacy Of Mesenchymal Stem/Stromal Cell Therapies, Allan John R Barcena, Archana Mishra, Dominic Karl M Bolinas, Benjamin M Martin, Marites P Melancon

Faculty, Staff and Student Publications

Mesenchymal stem/stromal cells (MSCs) have emerged as a promising therapeutic approach for a variety of diseases due to their immunomodulatory and tissue regeneration capabilities. Despite their potential, the clinical application of MSC therapies is hindered by limited cell retention and engraftment at the target sites. Electrospun scaffolds, with their high surface area-to-volume ratio and tunable physicochemical properties, can be used as platforms for MSC delivery. However, synthetic polymers often lack the bioactive cues necessary for optimal cell-scaffold interactions. Integrating electrospun scaffolds and biological polymers, such as polysaccharides, proteins, and composites, combines the mechanical integrity of synthetic materials with the bioactivity …

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 …

Multiple Omics Levels Of Chronic Lymphocytic Leukemia, Aleksander Turk, Eva Čeh, George A Calin, Tanja Kunej

Faculty, Staff and Student Publications

Chronic lymphocytic leukemia (CLL) is a lymphoproliferative malignancy characterized by the proliferation of functionally mature but incompetent B cells. It is the most prevalent type of leukemia in Western populations, accounting for approximately 25% of new leukemia cases. While recent advances, such as ibrutinib and venetoclax treatment have improved patient outlook, aggressive forms of CLL such as Richter transformation still pose a significant challenge. This discrepancy may be due to the heterogeneity of factors contributing to CLL development at multiple -omics levels. However, information on the omics of CLL is fragmented, hindering multi-omics-based research into potential treatment options. To address …

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.

Elucidating Immune-Related Gene Transcriptional Programs Via Factorization Of Large-Scale Rna-Profiles, Shan He, Matthew M Gubin, Hind Rafei, Rafet Basar, Merve Dede, Xianli Jiang, Qingnan Liang, Yukun Tan, Kunhee Kim, Maura L Gillison, Katayoun Rezvani, Weiyi Peng, Cara Haymaker, Sharia Hernandez, Luisa M Solis, Vakul Mohanty, Ken Chen

Faculty, Staff and Student Publications

Recent developments in immunotherapy, including immune checkpoint blockade (ICB) and adoptive cell therapy (ACT), have encountered challenges such as immune-related adverse events and resistance, especially in solid tumors. To advance the field, a deeper understanding of the molecular mechanisms behind treatment responses and resistance is essential. However, the lack of functionally characterized immune-related gene sets has limited data-driven immunological research. To address this gap, we adopted non-negative matrix factorization on 83 human bulk RNA sequencing (RNA-seq) datasets and constructed 28 immune-specific gene sets. After rigorous immunologist-led manual annotations and orthogonal validations across immunological contexts and functional omics data, we demonstrated …

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 …

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 …

Elderly Mice With History Of Acetaminophen Intoxication Display Worsened Cognitive Impairment And Persistent Elevation Of Astrocyte And Microglia Burden, Celso S G Catumbela, Rodrigo Morales

Faculty, Staff and Student Publications

Acetaminophen (APAP) is a leading cause of acute liver failure. The effect of APAP metabolite's effects in the periphery are well characterized; however, associated consequences in the brain remain poorly understood. Animal studies on this subject are few and reveal that frequent APAP intake can trigger cerebral abnormalities that vary depending on the subject's age. Alarmingly, experimental efforts have yet to examine associated consequences in elderly hosts, who correspond to the highest risk of medication overload, impaired drug clearance, and cognitive deficits. Here, we interrogated the cerebral and peripheral pathology of elderly mice submitted to monthly episodes of APAP intoxication …

Successful Management Of Chromoblastomycosis Utilizing Conventional Antifungal Agents And Imiquimod Therapy, Jinjin Zheng, Shougang Liu, Zhenmou Xie, Yangxia Chen, Liyan Xi, Hongfang Liu, Yinghui Liu

Faculty, Staff and Student Publications

Chromoblastomycosis (CBM), a chronic fungal infection affecting the skin and subcutaneous tissues, is predominantly caused by dematiaceous fungi in tropical and subtropical areas. Characteristically, CBM presents as plaques and nodules, often leading to scarring post-healing. Besides traditional diagnostic methods such as fungal microscopy, culture, and histopathology, dermatoscopy and reflectance confocal microscopy can aid in diagnosis. The treatment of CBM is an extended and protracted process. Imiquimod, acting as an immune response modifier, boosts the host's immune response against CBM, and controls scar hyperplasia, thereby reducing the treatment duration. We present a case of CBM in Guangdong with characteristic reflectance confocal …

Erratum: Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Electronic Patient-Reported Outcome-Based Symptom Management Versus Usual Care After Lung Cancer Surgery: Long-Term Results Of A Multicenter, Randomized, Controlled Trial, Wei Dai, Yaqin Wang, Jia Liao, Xing Wei, Zhen Dai, Wei Xu, Yangjun Liu, Xin Shelley Wang, Cecilia Pompili, Hongfan Yu, Yang Pu, Yuqian Zhao, Bangrong Cao, Qifeng Wang, Wenhong Feng, Yuanqiang Zhang, Fang Liu, Yuanle Deng, Jin Zhou, Juan Li, Shaohua Xie, Run Xiang, Xiang Wang, Bo Tian, Xiaozun Yang, Bin Hu, Xiaoqin Liu, Tianpeng Xie, Xiaojun Yang, Xiang Zhuang, Guibin Qiao, Qiang Li, Qiuling Shi

Faculty, Staff and Student Publications

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.We previously reported superior symptom control of electronic patient-reported outcome (ePRO)-based symptom management after lung cancer surgery for up to 1 month postdischarge. Here, we present the long-term results (1-12 months) of this multicenter, randomized trial, where …