Medicine and Health Sciences Commons^™

Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification, Xinpei Yi, Bo Wen, Shuyi Ji, Alexander B Saltzman, Eric J Jaehnig, Jonathan T Lei, Qiang Gao, Bing Zhang

Faculty, Staff and Students Publications

Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples. One of the primary challenges associated with this technology is the relatively low rate of phosphopeptide identification during data analysis. This limitation hampers the full realization of the potential offered by shotgun phosphoproteomics. Here we present DeepRescore2, a computational workflow that leverages deep learning-based retention time and fragment ion intensity predictions to improve phosphopeptide identification and phosphosite localization. Using a state-of-the-art computational workflow as a benchmark, DeepRescore2 increases the number of correctly identified peptide-spectrum matches by 17% in a synthetic dataset and identifies 19% to 46% more phosphopeptides in biological …

Safety, Immunogenicity, And Mechanism Of A Rotavirus Mrna-Lnp Vaccine In Mice, Chenxing Lu, Yan Li, Rong Chen, Xiaoqing Hu, Qingmei Leng, Xiaopeng Song, Xiaochen Lin, Jun Ye, Jinlan Wang, Jinmei Li, Lida Yao, Xianqiong Tang, Xiangjun Kuang, Guangming Zhang, Maosheng Sun, Yan Zhou, Hongjun Li

Faculty, Staff and Student Publications

Rotaviruses (RVs) are a major cause of diarrhea in young children worldwide. The currently available and licensed vaccines contain live attenuated RVs. Optimization of live attenuated RV vaccines or developing non-replicating RV (e.g., mRNA) vaccines is crucial for reducing the morbidity and mortality from RV infections. Herein, a nucleoside-modified mRNA vaccine encapsulated in lipid nanoparticles (LNP) and encoding the VP7 protein from the G1 type of RV was developed. The 5' untranslated region of an isolated human RV was utilized for the mRNA vaccine. After undergoing quality inspection, the VP7-mRNA vaccine was injected by subcutaneous or intramuscular routes into mice. …

Dynamic Prognosis Prediction For Patients On Dapt After Drug-Eluting Stent Implantation: Model Development And Validation, Fang Li, Laila Rasmy, Yang Xiang, Jingna Feng, Ahmed Abdelhameed, Xinyue Hu, Zenan Sun, David Aguilar, Abhijeet Dhoble, Jingcheng Du, Qing Wang, Shuteng Niu, Yifang Dang, Xinyuan Zhang, Ziqian Xie, Yi Nian, Jianping He, Yujia Zhou, Jianfu Li, Mattia Prosperi, Jiang Bian, Degui Zhi, Cui Tao

School of Medicine Faculty Publications

BACKGROUND: The rapid evolution of artificial intelligence (AI) in conjunction with recent updates in dual antiplatelet therapy (DAPT) management guidelines emphasizes the necessity for innovative models to predict ischemic or bleeding events after drug-eluting stent implantation. Leveraging AI for dynamic prediction has the potential to revolutionize risk stratification and provide personalized decision support for DAPT management. METHODS AND RESULTS: We developed and validated a new AI-based pipeline using retrospective data of drug-eluting stent-treated patients, sourced from the Cerner Health Facts data set (n=98 236) and Optum’s de-identified Clinformatics Data Mart Database (n=9978). The 36 months following drug-eluting stent implantation were …

A Novel Polymer-Encapsulated Multi-Imaging Modality Fiducial Marker With Positive Signal Contrast For Image-Guided Radiation Therapy, Li Wang, Jeremiah Sanders, John F Ward, Stephen R Lee, Falk Poenisch, David Michael Swanson, Narayan Sahoo, Xiaorong Ronald Zhu, Jingfei Ma, Rajat J Kudchadker, Seungtaek L Choi, Quynh-Nhu Nguyen, Lauren L Mayo, Shalin J Shah, Steven J Frank

Faculty, Staff and Student Publications

BACKGROUND: Current fiducial markers (FMs) in external-beam radiotherapy (EBRT) for prostate cancer (PCa) cannot be positively visualized on magnetic resonance imaging (MRI) and create dose perturbation and significant imaging artifacts on computed tomography (CT) and MRI. We report our initial experience with clinical imaging of a novel multimodality FM, NOVA.

METHODS: We tested Gold Anchor [G-FM], BiomarC [carbon, C-FM], and NOVA FMs in phantoms imaged with kilovoltage (kV) X-rays, transrectal ultrasound (TRUS), CT, and MRI. Artifacts of the FMs on CT were quantified by the relative streak artifacts level (rSAL) metric. Proton dose perturbations (PDPs) were measured with Gafchromic EBT3 …

Management Of Infliximab Refractory Immune Checkpoint Inhibitor Gastrointestinal Toxicity: A Multicenter Case Series, Catriona Harvey, Kazi J Nahar, Janet Mckeown, Serigne N Lo, Sheima Farag, Nadia Yousaf, Kate Young, Liselotte Tas, Aafke Meerveld-Eggink, Christian Blank, Austin Thomas, Jennifer Mcquade, Bastian Schilling, Douglas B Johnson, Roberto Martín Huertas, Ana Arance, Joanna Lee, Lisa Zimmer, Georgina V Long, Matteo S Carlino, Yinghong Wang, Alexander Maxwell Menzies

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitor (ICI) gastrointestinal toxicity (gastritis, enteritis, colitis) is a major cause of morbidity and treatment-related death. Guidelines agree steroid-refractory cases warrant infliximab, however best management of infliximab-refractory ICI gastrointestinal toxicity (IRIGItox) is unknown.

Methods: We conducted an international multicenter retrospective case series. IRIGItox was defined as failure of symptom resolution ≤grade 1 (Common Terminology Criteria for Adverse Events V.5.0) following ≥2 infliximab doses or failure of symptom resolution ≤grade 2 after one dose. Data were extracted regarding demographics, steroid use, response to treatment, and survival outcomes. Toxicity was graded at symptom onset and time of infliximab failure. …

Cytoskeleton Remodeling Induced By Smyd2 Methyltransferase Drives Breast Cancer Metastasis, Alexandre G Casanova, Gael S Roth, Simone Hausmann, Xiaoyin Lu, Ludivine J M Bischoff, Emilie M Froeliger, Lucid Belmudes, Ekaterina Bourova-Flin, Natasha M Flores, Ana Morales Benitez, Tourkian Chasan, Marcello Caporicci, Jessica Vayr, Sandrine Blanchet, Francesco Ielasi, Sophie Rousseaux, Pierre Hainaut, Or Gozani, Muriel Le Romancer, Yohann Couté, Andres Palencia, Pawel K Mazur, Nicolas Reynoird

Faculty, Staff and Student Publications

Malignant forms of breast cancer refractory to existing therapies remain a major unmet health issue, primarily due to metastatic spread. A better understanding of the mechanisms at play will provide better insights for alternative treatments to prevent breast cancer cell dispersion. Here, we identify the lysine methyltransferase SMYD2 as a clinically actionable master regulator of breast cancer metastasis. While SMYD2 is overexpressed in aggressive breast cancers, we notice that it is not required for primary tumor growth. However, mammary-epithelium specific SMYD2 ablation increases mouse overall survival by blocking the primary tumor cell ability to metastasize. Mechanistically, we identify BCAR3 as …

Measures Of Resting-State Brain Network Segregation And Integration Vary In Relation To Data Quantity: Implications For Within And Between Subject Comparisons Of Functional Brain Network Organization, Liang Han, Micaela Y Chan, Phillip F Agres, Ezra Winter-Nelson, Ziwei Zhang, Gagan S Wig

Faculty, Staff and Student Publications

Measures of functional brain network segregation and integration vary with an individual's age, cognitive ability, and health status. Based on these relationships, these measures are frequently examined to study and quantify large-scale patterns of network organization in both basic and applied research settings. However, there is limited information on the stability and reliability of the network measures as applied to functional time-series; these measurement properties are critical to understand if the measures are to be used for individualized characterization of brain networks. We examine measurement reliability using several human datasets (Midnight Scan Club and Human Connectome Project [both Young Adult …

Harnessing Physical Activity Monitoring And Digital Biomarkers Of Frailty From Pendant Based Wearables To Predict Chemotherapy Resilience In Veterans With Cancer, Gozde Cay, Yvonne H Sada, Mohammad Dehghan Rouzi, Md Moin Uddin Atique, Naima Rodriguez, Mehrnaz Azarian, M G Finco, Sarvari Yellapragada, Bijan Najafi

Center on Aging Staff Publications

This study evaluated the use of pendant-based wearables for monitoring digital biomarkers of frailty in predicting chemotherapy resilience among 27 veteran cancer patients (average age: 64.6 ± 13.4 years), undergoing bi-weekly chemotherapy. Immediately following their first day of chemotherapy cycle, participants wore a water-resistant pendant sensor for 14 days. This device tracked frailty markers like cadence (slowness), daily steps (inactivity), postural transitions (weakness), and metrics such as longest walk duration and energy expenditure (exhaustion). Participants were divided into resilient and non-resilient groups based on adverse events within 6 months post-chemotherapy, including dose reduction, treatment discontinuation, unplanned hospitalization, or death. A …

Myd88 In Myofibroblasts Enhances Nonalcoholic Fatty Liver Disease-Related Hepatocarcinogenesis Via Promoting Macrophage M2 Polarization, Yu Liu, Haiqiang Chen, Xuanxuan Yan, Jie Zhang, Zhenzhong Deng, Maosheng Huang, Jianchun Gu, Jinhua Zhang

Faculty, Staff and Student Publications

Background: Nonalcoholic fatty liver disease (NAFLD) is a major cause of chronic liver diseases and has emerged as the leading factor in the pathogenesis of hepatocellular carcinoma (HCC). MyD88 contributes to the development of HCC. However, the underlying mechanism by which MyD88 in myofibroblasts regulates NAFLD-associated liver cancer development remains unknown.

Results: Myofibroblast MyD88-deficient (SMAMyD88-/-) mice were protected from diet-induced obesity and developed fewer and smaller liver tumors. MyD88 deficiency in myofibroblasts attenuated macrophage M2 polarization and fat accumulation in HCC tissues. Mechanistically, MyD88 signaling in myofibroblasts enhanced CCL9 secretion, thereby promoting macrophage M2 polarization. This process may depend on …

Expression Of Atoh1, Gfi1, And Pou4f3 In The Mature Cochlea Reprograms Nonsensory Cells Into Hair Cells, Melissa M Mcgovern, Ishwar V Hosamani, Yichi Niu, Ken Y Nguyen, Chenghang Zong, Andrew K Groves

Faculty, Staff and Students Publications

Mechanosensory hair cells of the mature mammalian organ of Corti do not regenerate; consequently, loss of hair cells leads to permanent hearing loss. Although nonmammalian vertebrates can regenerate hair cells from neighboring supporting cells, many humans with severe hearing loss lack both hair cells and supporting cells, with the organ of Corti being replaced by a flat epithelium of nonsensory cells. To determine whether the mature cochlea can produce hair cells in vivo, we reprogrammed nonsensory cells adjacent to the organ of Corti with three hair cell transcription factors: Gfi1, Atoh1, and Pou4f3. We generated numerous hair cell–like …

Frozen Tissue Coring And Layered Histological Analysis Improves Cell Type-Specific Proteogenomic Characterization Of Pancreatic Adenocarcinoma, Sara R Savage, Yuefan Wang, Lijun Chen, Scott Jewell, Chelsea Newton, Yongchao Dou, Qing Kay Li, Oliver F Bathe, Ana I Robles, Gilbert S Omenn, Mathangi Thiagarajan, Hui Zhang, Galen Hostetter, Bing Zhang

Faculty, Staff and Students Publications

BACKGROUND: Omics characterization of pancreatic adenocarcinoma tissue is complicated by the highly heterogeneous and mixed populations of cells. We evaluate the feasibility and potential benefit of using a coring method to enrich specific regions from bulk tissue and then perform proteogenomic analyses.

METHODS: We used the Biopsy Trifecta Extraction (BioTExt) technique to isolate cores of epithelial-enriched and stroma-enriched tissue from pancreatic tumor and adjacent tissue blocks. Histology was assessed at multiple depths throughout each core. DNA sequencing, RNA sequencing, and proteomics were performed on the cored and bulk tissue samples. Supervised and unsupervised analyses were performed based on integrated molecular …

Longitudinal Varying Coefficient Single-Index Model With Censored Covariates, Shikun Wang, Jing Ning, Ying Xu, Ya-Chen Tina Shih, Yu Shen, Liang Li

Faculty, Staff and Student Publications

It is of interest to health policy research to estimate the population-averaged longitudinal medical cost trajectory from initial cancer diagnosis to death, and understand how the trajectory curve is affected by patient characteristics. This research question leads to a number of statistical challenges because the longitudinal cost data are often non-normally distributed with skewness, zero-inflation, and heteroscedasticity. The trajectory is nonlinear, and its length and shape depend on survival, which are subject to censoring. Modeling the association between multiple patient characteristics and nonlinear cost trajectory curves of varying lengths should take into consideration parsimony, flexibility, and interpretation. We propose a …

Accounting For Network Noise In Graph-Guided Bayesian Modeling Of Structured High-Dimensional Data, Wenrui Li, Changgee Chang, Suprateek Kundu, Qi Long

Faculty, Staff and Student Publications

There is a growing body of literature on knowledge-guided statistical learning methods for analysis of structured high-dimensional data (such as genomic and transcriptomic data) that can incorporate knowledge of underlying networks derived from functional genomics and functional proteomics. These methods have been shown to improve variable selection and prediction accuracy and yield more interpretable results. However, these methods typically use graphs extracted from existing databases or rely on subject matter expertise, which are known to be incomplete and may contain false edges. To address this gap, we propose a graph-guided Bayesian modeling framework to account for network noise in regression …

“My Addiction Doesn’T Define Me”—Experiences Of Stigma Among Mothers With Opioid Use Disorder, Christine Bakos-Block, Andreaa Yaatsco, A Sarah Cohen, Francine Vega, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Opioid use in women has increased by 300% since 1999, and opioid use disorder among pregnant women has quadrupled. The stigma of substance use disorder is a significant barrier to treatment, especially among women. The purpose of this study was to explore the experiences and perceptions of stigma among mothers and the underlying themes. (1) Background: To understand the stigmatization of women with substance use disorders, we interviewed mothers in recovery from opioid use disorder. (2) Methods: Qualitative methods and descriptive analysis was used to extrapolate themes related to the experienced stigma. (3) Results: A total of 20 mothers in …

Leveraging Trop2 Antibody-Drug Conjugates In Solid Tumors, Blessie Elizabeth Nelson, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) have become the cornerstone of effective therapeutics in solid and hematological malignancies by harnessing potent cytotoxic payloads with targeted tumoricidal delivery. Since the monumental shift occurred with HER2-targeted ADCs, the discovery of the TROP2 antigen has revolutionized the landscape of ADC development. Moving beyond the traditional ADC design, multiple novel ADCs have successfully shaped and improved survival outcomes in patients with various tumor histologies. Here we review and contrast the clinical impact of the well-known TROP2 ADCs currently in clinical use. We also shed light on upcoming investigational TROP2 ADCs showing promise with novel ADC platforms.

Patient-Derived Models Of Cancer In The Nci Pdmc Consortium: Selection, Pitfalls, And Practical Recommendations, Amber N Habowski, Deepthi P Budagavi, Sandra D Scherer, Arin B Aurora, Giuseppina Caligiuri, William F Flynn, Ellen M Langer, Jonathan R Brody, Rosalie C Sears, Giorgia Foggetti, Anna Arnal Estape, Don X Nguyen, Katerina A Politi, Xiling Shen, David S Hsu, Donna M Peehl, John Kurhanewicz, Renuka Sriram, Milagros Suarez, Sophie Xiao, Yuchen Du, Xiao-Nan Li, Nora M Navone, Estefania Labanca, Christopher D Willey

Faculty, Staff and Student Publications

For over a century, early researchers sought to study biological organisms in a laboratory setting, leading to the generation of both in vitro and in vivo model systems. Patient-derived models of cancer (PDMCs) have more recently come to the forefront of preclinical cancer models and are even finding their way into clinical practice as part of functional precision medicine programs. The PDMC Consortium, supported by the Division of Cancer Biology in the National Cancer Institute of the National Institutes of Health, seeks to understand the biological principles that govern the various PDMC behaviors, particularly in response to perturbagens, such as …

Ahp Db: A Reference Database Of Proteins In The Human Aqueous Humor, Tae Jin Lee, Arnav Goyal, Garrett Jones, Joshua Glass, Vishal Doshi, Kathryn Bollinger, Lane Ulrich, Saleh Ahmed, Sai Karthik Kodeboyina, Amy Estes, Marc Töteberg-Harms, Wenbo Zhi, Shruti Sharma, Ashok Sharma

Faculty, Staff and Student Publications

The aqueous humor (AH) is a low-viscosity biofluid that continuously circulates from the posterior chamber to the anterior chamber of the eye. Recent advances in high-resolution mass-spectrometry workflows have facilitated the study of proteomic content in small-volume biofluids like AH, highlighting the potential clinical implications of the AH proteome. Nevertheless, in-depth investigations into the role of AH proteins in ocular diseases have encountered challenges due to limited accessibility to these workflows, difficulties in large-scale AH sample collection and the absence of a reference AH proteomic database. In response to these obstacles, and to promote further research on the involvement of …

A Generalized Phase 1-2-3 Design Integrating Dose Optimization With Confirmatory Treatment Comparison, Yong Zang, Peter F Thall, Ying Yuan

Faculty, Staff and Student Publications

A generalized phase 1-2-3 design, Gen 1-2-3, that includes all phases of clinical treatment evaluation is proposed. The design extends and modifies the design of Chapple and Thall (2019), denoted by CT. Both designs begin with a phase 1-2 trial including dose acceptability and optimality criteria, and both select an optimal dose for phase 3. The Gen 1-2-3 design has the following key differences. In stage 1, it uses phase 1-2 criteria to identify a set of candidate doses rather than 1 dose. In stage 2, which is intermediate between phase 1-2 and phase 3, it randomizes additional patients fairly …

Reconstitution Of Human Pdac Using Primary Cells Reveals Oncogenic Transcriptomic Features At Tumor Onset, Yi Xu, Michael H Nipper, Angel A Dominguez, Zhenqing Ye, Naoki Akanuma, Kevin Lopez, Janice J Deng, Destiny Arenas, Ava Sanchez, Francis E Sharkey, Colin M Court, Aatur D Singhi, Huamin Wang, Martin E Fernandez-Zapico, Lu-Zhe Sun, Siyuan Zheng, Yidong Chen, Jun Liu, Pei Wang

Faculty, Staff and Student Publications

Animal studies have demonstrated the ability of pancreatic acinar cells to transform into pancreatic ductal adenocarcinoma (PDAC). However, the tumorigenic potential of human pancreatic acinar cells remains under debate. To address this gap in knowledge, we expand sorted human acinar cells as 3D organoids and genetically modify them through introduction of common PDAC mutations. The acinar organoids undergo dramatic transcriptional alterations but maintain a recognizable DNA methylation signature. The transcriptomes of acinar organoids are similar to those of disease-specific cell populations. Oncogenic KRAS alone do not transform acinar organoids. However, acinar organoids can form PDAC in vivo after acquiring the …

Single-Cell Multiomics Decodes Regulatory Programs For Mouse Secondary Palate Development, Fangfang Yan, Akiko Suzuki, Chihiro Iwaya, Guangsheng Pei, Xian Chen, Hiroki Yoshioka, Meifang Yu, Lukas M Simon, Junichi Iwata, Zhongming Zhao

Faculty, Staff and Student Publications

Perturbations in gene regulation during palatogenesis can lead to cleft palate, which is among the most common congenital birth defects. Here, we perform single-cell multiome sequencing and profile chromatin accessibility and gene expression simultaneously within the same cells (n = 36,154) isolated from mouse secondary palate across embryonic days (E) 12.5, E13.5, E14.0, and E14.5. We construct five trajectories representing continuous differentiation of cranial neural crest-derived multipotent cells into distinct lineages. By linking open chromatin signals to gene expression changes, we characterize the underlying lineage-determining transcription factors. In silico perturbation analysis identifies transcription factors SHOX2 and MEOX2 as important regulators …

Systematic Review Of Mortality And Survival Rates For Apds, Jennifer Hanson, Penelope E Bonnen

Faculty, Staff and Students Publications

Activated phosphoinositide 3-kinase delta syndrome (APDS) is a rare genetic disorder that presents clinically as a primary immunodeficiency. Clinical presentation of APDS includes severe, recurrent infections, lymphoproliferation, lymphoma, and other cancers, autoimmunity and enteropathy. Autosomal dominant variants in two independent genes have been demonstrated to cause APDS. Pathogenic variants in PIK3CD and PIK3R1, both of which encode components of the PI3-kinase, have been identified in subjects with APDS. APDS1 is caused by gain of function variants in the PIK3CD gene, while loss of function variants in PIK3R1 have been reported to cause APDS2. We conducted a review of the medical …

Psychological Distress In Low-Income And Economically Marginalized Populations In India: Protective And Risk Factors, Dipti Singh, Shagufta Nasir, Juhi Sharma, Lydia Giménez-Llort, Mohammad Ghazi Shahnawaz

Faculty, Staff and Student Publications

Studies at the juncture of development economics and public health take on considerable responsibility in addressing inequality and related mental health distress. Mental healthcare in economically marginalized populations requires depicting the linkages between socioeconomic status and psychological distress. In the present work, a sequential mixed-methods design was used to study 190 people in such communities in India. Gender-dependent psychological distress was found according to the Kessler Psychological Distress Scale (K-10) with moderate distress in women (M = 26.30, SD = 9.15) and mild distress in men (M = 21.04, SD = 8.35). Regression analysis indicated that gender significantly predicted psychological …

Prevention And Potential Treatment Strategies For Respiratory Syncytial Virus, Bo-Wen Sun, Peng-Peng Zhang, Zong-Hao Wang, Xia Yao, Meng-Lan He, Rui-Ting Bai, Hao Che, Jing Lin, Tian Xie, Zi Hui, Xiang-Yang Ye, Li-Wei Wang

Faculty, Staff and Student Publications

Respiratory syncytial virus (RSV) is a significant viral pathogen that causes respiratory infections in infants, the elderly, and immunocompromised individuals. RSV-related illnesses impose a substantial economic burden worldwide annually. The molecular structure, function, and in vivo interaction mechanisms of RSV have received more comprehensive attention in recent times, and significant progress has been made in developing inhibitors targeting various stages of the RSV replication cycle. These include fusion inhibitors, RSV polymerase inhibitors, and nucleoprotein inhibitors, as well as FDA-approved RSV prophylactic drugs palivizumab and nirsevimab. The research community is hopeful that these developments might provide easier access to knowledge and …

Dementia Prediction In Older Adults Using Sex-Specific Health Trajectory Clustering, Omar A Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

With increasing number of people living with dementia, the problem of late diagnosis significantly impacts a person's quality of life while early signs of dementia may provide useful insights to facilitate better treatment plans. With time, this progressive neurodegenerative syndrome could progress from mild cognitive impairment to dementia. A pattern of health conditions can be characterized in unsupervised manner to help predict this progress. As a significant extension to our previous work with streaming clustering model, we consider additional information for predicting dementia onset. With empirical observations, we discover the importance of examining sex and age to predict dementia onset. …

Interplay Between Atrx And Idh1 Mutations Governs Innate Immune Responses In Diffuse Gliomas, Seethalakshmi Hariharan, Benjamin T Whitfield, Christopher J Pirozzi, Matthew S Waitkus, Michael C Brown, Michelle L Bowie, David M Irvin, Kristen Roso, Rebecca Fuller, Janell Hostettler, Sharvari Dharmaiah, Emiley A Gibson, Aaron Briley, Avani Mangoli, Casey Fraley, Mariah Shobande, Kevin Stevenson, Gao Zhang, Prit Benny Malgulwar, Hannah Roberts, Martin Roskoski, Ivan Spasojevic, Stephen T Keir, Yiping He, Maria G Castro, Jason T Huse, David M Ashley

Faculty, Staff and Student Publications

Stimulating the innate immune system has been explored as a therapeutic option for the treatment of gliomas. Inactivating mutations in ATRX, defining molecular alterations in IDH-mutant astrocytomas, have been implicated in dysfunctional immune signaling. However, little is known about the interplay between ATRX loss and IDH mutation on innate immunity. To explore this, we generated ATRX-deficient glioma models in the presence and absence of the IDH1R132H mutation. ATRX-deficient glioma cells are sensitive to dsRNA-based innate immune agonism and exhibit impaired lethality and increased T-cell infiltration in vivo. However, the presence of IDH1R132H dampens baseline expression of key innate immune genes …

Building A More Diverse Public Health Informatics Workforce: Preliminary Results, Susan H Fenton, Gabriela Mustata Wilson

Faculty, Staff and Student Publications

The US public health infrastructure has been historically underfunded, a condition that was exacerbated by the COVID-19 pandemic. This was especially noted in the area of public health informatics. It was also acknowledged that the lack of a diverse public health workforce made it more difficult to address biases and disparities effectively. In 2021 the Office of the National Coordinator awarded $73 million to 10 awardees to develop public health informatics and technology (PHIT) workforce training. The Gaining Equity in Training for Public Health Informatics and Technology (GET PHIT) award utilizes various methods to train and engage minority and underserved …

Insights On The Future Of Digital Health: An Analysis Of Twitter Posts Of Imia Fellows, David T Marc, Karima Lalani, Susan H Fenton, Kerryn Butler-Henderson

Faculty, Staff and Student Publications

The COVID-19 pandemic has reshaped technology-enhanced services in health and care organizations globally. As the world pivots towards a post-COVID-19 environment, it is essential to examine emerging trends amongst thought leaders in the health information technology sector. This study queried Twitter feeds of IMIA Fellows from 2013 through 2022, utilizing combinations of sentiment analysis, latent dirichlet allocation, and document analysis methods. The results provided a glimpse of positive sentiment year upon year, with the most negative sentiment prevalent in 2020, due to the onset of the pandemic. The findings from this study can be strategically used to analyze emerging trends …

Exploring A Mechanism Toward Automated Feedback For Cancer Patient Self-Reporting, Kevin Phong, Mengchen Ding, Youmin Cho, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

"Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.

Extracting Drug-Protein Relation From Literature Using Ensembles Of Biomedical Transformers, Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

Automatic extraction of relations between drugs/chemicals and proteins from ever-growing biomedical literature is required to build up-to-date knowledge bases in biomedicine. To promote the development of automated methods, BioCreative-VII organized a shared task - the DrugProt track, to recognize drug-protein entity relations from PubMed abstracts. We participated in the shared task and leveraged deep learning-based transformer models pre-trained on biomedical data to build ensemble approaches to automatically extract drug-protein relation from biomedical literature. On the main corpora of 10,750 abstracts, our best system obtained an F1-score of 77.60% (ranked 4th among 30 participating teams), and on the large-scale corpus of …

An Icd For The Digital World: What Does The Icd-11 Research Show?, Susan H Fenton, Mary H Stanfill, Kathy Giannangelo

Faculty, Staff and Student Publications

The 11th revision of the International Classification of Diseases (ICD) is now available for use. A literature search was conducted to review and summarize the research conducted to date. In addition to the ease of integration into electronic health records using standard digital tools such as uniform resource identifiers and application programming interfaces, ICD-11 and the World Health Organization provided linearization for mortality and morbidity, ICD-11-MMS, promise improved backward compatibility to ICD-10; increased availability in multiple languages; greater detail for clinical use, including traditional Chinese medicine; and enhanced maintenance for continued relevance. The studies reviewed here support the superior content …