Digital Commons Network^™

Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White

Faculty, Staff and Student Publications

Objectives: This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.

Methods: Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. …

Ataxia Telangiectasia And Rad3-Related (Atr) Inhibitor Camonsertib Dose Optimization In Patients With Biomarker-Selected Advanced Solid Tumors (Tresr Study), Elisa Fontana, Ezra Rosen, Elizabeth K Lee, Martin Højgaard, Niharika B Mettu, Stephanie Lheureux, Benedito A Carneiro, Gregory M Cote, Louise Carter, Ruth Plummer, Devalingam Mahalingam, Adrian J Fretland, Joseph D Schonhoft, Ian M Silverman, Marisa Wainszelbaum, Yi Xu, Danielle Ulanet, Maria Koehler, Timothy A Yap

Faculty, Staff and Student Publications

BACKGROUND: Camonsertib is a selective oral inhibitor of ataxia telangiectasia and Rad3-related (ATR) kinase with demonstrated efficacy in tumors with DNA damage response gene deficiencies. On-target anemia is the main drug-related toxicity typically manifesting after the period of dose-limiting toxicity evaluation. Thus, dose and schedule optimization requires extended follow-up to assess prolonged treatment effects.

METHODS: Long-term safety, tolerability, and antitumor efficacy of 3 camonsertib monotherapy dosing regimens were assessed in the TRESR study dose-optimization phase: 160 mg once daily (QD) 3 days on, 4 days off (160 3/4; the preliminary recommended Phase II dose [RP2D]) and two step-down groups of …

Identification Of Hypoxia-Alcamhigh Macrophage- Exhausted T Cell Axis In Tumor Microenvironment Remodeling For Immunotherapy Resistance, Zhenzhen Xun, Huanran Zhou, Mingyi Shen, Yao Liu, Chengcao Sun, Yanhua Du, Zhou Jiang, Liuqing Yang, Qing Zhang, Chunru Lin, Qingsong Hu, Youqiong Ye, Leng Han

Faculty, Staff and Student Publications

Although hypoxia is known to be associated with immune resistance, the adaptability to hypoxia by different cell populations in the tumor microenvironment and the underlying mechanisms remain elusive. This knowledge gap has hindered the development of therapeutic strategies to overcome tumor immune resistance induced by hypoxia. Here, bulk, single-cell, and spatial transcriptomics are integrated to characterize hypoxia associated with immune escape during carcinogenesis and reveal a hypoxia-based intercellular communication hub consisting of malignant cells, ALCAM

Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.

MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …

Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.

OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.

MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …

Target Engagement And Immunogenicity Of An Active Immunotherapeutic Targeting Pathological Α-Synuclein: A Phase 1 Placebo-Controlled Trial, Pepijn Eijsvogel, Pinaki Misra, Luis Concha-Marambio, Justin D Boyd, Shuang Ding, Lauren Fedor, Yueh-Ting Hsieh, Yu Shuang Sun, Madeline M Vroom, Carly M Farris, Yihua Ma, Marieke L De Kam, Igor Radanovic, Maurits F J M Vissers, Dario Mirski, Ghazal Shareghi, Mohammad Shahnawaz, Wolfgang Singer, Philip Kremer, Geert Jan Groeneveld, Hui Jing Yu, Jean-Cosme Dodart

Faculty, Staff and Student Publications

Investigational therapeutics that target toxic species of α-synuclein (αSyn) aim to slow down or halt disease progression in patients with Parkinson's disease (PD). Here this 44-week, randomized, placebo-controlled, double-blind, single-center phase 1 study investigated safety, tolerability and immunogenicity of UB-312, an active immunotherapeutic targeting pathological αSyn, in patients with PD. The primary outcome measures were adverse event frequency and change in anti-αSyn antibody titers in blood and cerebrospinal fluid (CSF). Exploratory outcomes were changes in clinical scales and biomarker-based target engagement as measured by seed amplification assays. Twenty patients were randomized 7:3 (UB-312:placebo) into 300/100/100 μg or 300/300/300 μg (weeks …

Mechanistic Insights Into Metabolic Function Of Dynamin-Related Protein 1, Xin Li, Katherine Pham, Jazmin Ysaguirre, Iqbal Mahmud, Lin Tan, Bo Wei, Long J Shao, Maryam Elizondo, Rabie Habib, Fathima Elizondo, Hiromi Sesaki, Philip L Lorenzi, Kai Sun

Faculty, Staff and Student Publications

Dynamin-related protein 1 (DRP1) plays crucial roles in mitochondrial and peroxisome fission. However, the mechanisms underlying the functional regulation of DRP1 in adipose tissue during obesity remain unclear. To elucidate the metabolic and pathological significance of diminished DRP1 in obese adipose tissue, we utilized adipose tissue-specific DRP1 KO mice challenged with a high-fat diet. We observed significant metabolic dysregulations in the KO mice. Mechanistically, DRP1 exerts multifaceted functions in mitochondrial dynamics and endoplasmic reticulum (ER)-lipid droplet crosstalk in normal mice. Loss of function of DRP1 resulted in abnormally giant mitochondrial shapes, distorted mitochondrial membrane structure, and disrupted cristae architecture. Meanwhile, …

An Analysis Of Suspected Microplastics In The Muscle And Gastrointestinal Tissues Of Fish From Sarasota Bay, Fl: Exposure And Implications For Apex Predators And Seafood Consumers, Eric Conger, Miranda Dziobak, Elizabeth J Berens Mccabe, Tita Curtin, Ayushi Gaur, Randall S Wells, John E Weinstein, Leslie B Hart

Faculty, Staff and Student Publications

Microplastics have been found in the gastrointestinal (GI) fluid of bottlenose dolphins (Tursiops truncatus), inhabiting Sarasota Bay, FL, suggesting exposure by ingestion, possibly via contaminated fish. To better understand the potential for trophic transfer, muscle and GI tissues from 11 species of dolphin prey fish collected from Sarasota Bay were screened for microplastics (particles <5 mm diameter). Suspected microplastics were found in 82% of muscle samples (n=89), and 97% of GI samples (n=86). Particle abundance and shapes varied by species (p<0.05) and foraging habit (omnivore vs. carnivore, p<0.05). Pinfish (Lagodon rhomboides) had the highest particle abundance for both tissue types (muscle: 0.38 …

Automatic Vessel Attenuation Measurement For Quality Control Of Contrast-Enhanced Ct: Validation On The Portal Vein, Kevin Mccoy, Sujay Marisetty, Dominique Tan, Corey T Jensen, Jeffrey H Siewerdsen, Christine B Peterson, Moiz Ahmad

Faculty, Staff and Student Publications

Background: Adequate image enhancement of organs and blood vessels of interest is an important aspect of image quality in contrast-enhanced computed tomography (CT). There is a need for an objective method for evaluation of vessel contrast that can be automatically and systematically applied to large sets of CT exams.

Purpose: The purpose of this work was to develop a method to automatically segment and measure attenuation Hounsfield Unit (HU) in the portal vein (PV) in contrast-enhanced abdomen CT examinations.

Methods: Input CT images were processed by a vessel enhancing filter to determine candidate PV segmentations. Multiple machine learning (ML) classifiers …

Chemical Screening By Time-Resolved X-Ray Scattering To Discover Allosteric Probes, Chris A Brosey, Todd M Link, Runze Shen, Davide Moiani, Kathryn Burnett, Greg L Hura, Darin E Jones, John A Tainer

Faculty, Staff and Student Publications

Drug discovery relies on efficient identification of small-molecule leads and their interactions with macromolecular targets. However, understanding how chemotypes impact mechanistically important conformational states often remains secondary among high-throughput discovery methods. Here, we present a conformational discovery pipeline integrating time-resolved, high-throughput small-angle X-ray scattering (TR-HT-SAXS) and classic fragment screening applied to allosteric states of the mitochondrial import oxidoreductase apoptosis-inducing factor (AIF). By monitoring oxidized and X-ray-reduced AIF states, TR-HT-SAXS leverages structure and kinetics to generate a multidimensional screening dataset that identifies fragment chemotypes allosterically stimulating AIF dimerization. Fragment-induced dimerization rates, quantified with time-resolved SAXS similarity analysis (k

Dopaminergic Neurons In Zona Incerta Drives Appetitive Self-Grooming, Zhiying Jiang, Michelle He, Claire Young, Jing Cai, Yuanzhong Xu, Yanyan Jiang, Hongli Li, Maojie Yang, Qingchun Tong

Faculty, Staff and Student Publications

Dopaminergic (DA) neurons are known to play a key role in controlling behaviors. While DA neurons in other brain regions are extensively characterized, those in zona incerta (ZITH or A13) receive much less attention and their function remains to be defined. Here it is shown that optogenetic stimulation of these neurons elicited intensive self‐grooming behaviors and promoted place preference, which can be enhanced by training but cannot be converted into contextual memory. Interestingly, the same stimulation increased DA release to periaqueductal grey (PAG) neurons and local PAG antagonism of DA action reduced the elicited self‐grooming. In addition, A13 neurons increased …

Artificial Intelligence-Based Segmentation Of Residual Pancreatic Cancer In Resection Specimens Following Neoadjuvant Treatment (Isgpp-2): International Improvement And Validation Study, Boris V Janssen, Bart Oteman, Mahsoem Ali, Pieter A Valkema, Volkan Adsay, Olca Basturk, Deyali Chatterjee, Angela Chou, Stijn Crobach, Michael Doukas, Paul Drillenburg, Irene Esposito, Anthony J Gill, Seung-Mo Hong, Casper Jansen, Mike Kliffen, Anubhav Mittal, Jas Samra, Marie-Louise F Van Velthuysen, Aslihan Yavas, Geert Kazemier, Joanne Verheij, Ewout Steyerberg, Marc G Besselink, Huamin Wang, Caroline Verbeke, Arantza Fariña, Onno J De Boer, Pancreatobiliary And Hepatic Artificial Intelligence Research (Phair) Consortium, International Study Group Of Pancreatic Pathologists (Isgpp);

Faculty, Staff and Student Publications

Neoadjuvant therapy (NAT) has become routine in patients with borderline resectable pancreatic cancer. Pathologists examine pancreatic cancer resection specimens to evaluate the effect of NAT. However, an automated scoring system to objectively quantify residual pancreatic cancer (RPC) is currently lacking. Herein, we developed and validated the first automated segmentation model using artificial intelligence techniques to objectively quantify RPC. Digitized histopathological tissue slides were included from resected pancreatic cancer specimens from 14 centers in 7 countries in Europe, North America, Australia, and Asia. Four different scanner types were used: Philips (56%), Hamamatsu (27%), 3DHistech (10%), and Leica (7%). Regions of interest …

Premalignant Progression In The Lung: Knowledge Gaps And Novel Opportunities For Interception Of Non-Small Cell Lung Cancer An Official American Thoracic Society Research Statement, Seyed Javad Moghaddam, Rajkumar Savai, Ramin Salehi-Rad, Shreoshi Sengupta, Michael N Kammer, Pierre Massion, Jennifer E Beane, Edwin J Ostrin, Carmen Priolo, Meredith A Tennis, Laura P Stabile, Alison K Bauer, Catherine R Sears, Eva Szabo, M Patricia Rivera, Charles A Powell, Humam Kadara, Brendan J Jenkins, Steven M Dubinett, A Mcgarry Houghton, Carla F Kim, Robert L Keith

Faculty, Staff and Student Publications

Rationale: Despite significant advances in precision treatments and immunotherapy, lung cancer is the most common cause of cancer death worldwide. To reduce incidence and improve survival rates, a deeper understanding of lung premalignancy and the multistep process of tumorigenesis is essential, allowing timely and effective intervention before cancer development. Objectives: To summarize existing information, identify knowledge gaps, formulate research questions, prioritize potential research topics, and propose strategies for future investigations into the premalignant progression in the lung. Methods: An international multidisciplinary team of basic, translational, and clinical scientists reviewed available data to develop and refine research questions pertaining to the …

A Pilot Study Of The Cd38 Antagonist Daratumumab In Patients With Metastatic Renal Cell Carcinoma Or Muscle-Invasive Bladder Cancer, Matthew T Campbell, Amishi Y Shah, Pavlos Msaouel, Nizar M Tannir, Arlene O Siefker-Radtke, Ashish M Kamat, Neema Navai, Colin P N Dinney, Priya Rao, Charles C Guo, Rahul A Sheth, Aradhana M Venkatesan, Rebecca S Tidwell, Shalini S Yadav, Aidi Gu, Hong Chen, Marc Macaluso, Fei Duan, Sreyashi Basu, Sonali Jindal, Padmanee Sharma

Faculty, Staff and Student Publications

PURPOSE: We performed a pilot study of daratumumab (an mAb directed against CD38) in muscle-invasive bladder cancer (MIBC) and treatment-refractory metastatic renal cell carcinoma (mRCC).

EXPERIMENTAL DESIGN: Patients with MIBC underwent baseline transurethral resection of the bladder tumor followed by four weekly doses of daratumumab prior to cystectomy. Patients with mRCC underwent baseline and sequential biopsies after eight weekly doses. The primary endpoint was safety. The secondary endpoints were pathologic complete response rate for the MIBC cohort and objective response rate and progression-free survival for the mRCC cohort. Exploratory analyses included immune monitoring and overall survival. A Bayesian sequential monitoring …

Mechanisms That Clear Mutations Drive Field Cancerization In Mammary Tissue, Marta Ciwinska, Hendrik A Messal, Hristina R Hristova, Catrin Lutz, Laura Bornes, Theofilos Chalkiadakis, Rolf Harkes, Nathalia S M Langedijk, Stefan J Hutten, Renée X Menezes, Jos Jonkers, Stefan Prekovic, Grand Challenge Precision Consortium, Benjamin D Simons, Colinda L G J Scheele, Jacco Van Rheenen

Faculty, Staff and Student Publications

Oncogenic mutations are abundant in the tissues of healthy individuals, but rarely form tumours1-3. Yet, the underlying protection mechanisms are largely unknown. To resolve these mechanisms in mouse mammary tissue, we use lineage tracing to map the fate of wild-type and Brca1-/-;Trp53-/- cells, and find that both follow a similar pattern of loss and spread within ducts. Clonal analysis reveals that ducts consist of small repetitive units of self-renewing cells that give rise to short-lived descendants. This offers a first layer of protection as any descendants, including oncogenic mutant cells, are constantly lost, thereby limiting the spread of mutations to …

Admixture Mapping Of Cognitive Function In Diverse Hispanic And Latino Adults: Results From The Hispanic Community Health Study/Study Of Latinos, Rui Xia, Xueqiu Jian, Amanda L Rodrigue, Jan Bressler, Eric Boerwinkle, Biqi Cui, Martha L Daviglus, Charles Decarli, Linda C Gallo, David C Glahn, Emma E M Knowles, Jee-Young Moon, Thomas H Mosley, Claudia L Satizabal, Tamar Sofer, Wassim Tarraf, Fernando Testai, John Blangero, Sudha Seshadri, Hector M González, Myriam Fornage

Faculty, Staff and Student Publications

INTRODUCTION: We conducted admixture mapping and fine-mapping analyses to identify ancestry-of-origin loci influencing cognitive abilities.

METHODS: We estimated the association of local ancestry intervals across the genome with five neurocognitive measures in 7140 diverse Hispanic and Latino adults (mean age 55 years). We prioritized genetic variants in associated loci and tested them for replication in four independent cohorts.

RESULTS: We identified nine local ancestry-associated regions for the five neurocognitive measures. There was strong biological support for the observed associations to cognitive function at all loci and there was statistical evidence of independent replication at 4q12, 9p22.1, and 13q12.13.

DISCUSSION: Our …

Long-Term Trajectories Of Sleep Duration Are Associated With Incident Diabetes In Middle-To-Older-Aged Black And White Americans, Qian Xiao, Kelsie M Full, Martin K Rutter, Loren Lipworth

Faculty, Staff and Student Publications

AIMS/HYPOTHESIS: Both short and long sleep durations have been linked to higher diabetes risk. However, sleep duration may vary over time, and there has been limited research focusing on individual sleep trajectories and diabetes risk. There are substantial racial disparities in both sleep health and diabetes risk in the USA. Thus, it is important to understand the role of suboptimal sleep patterns in diabetes risk in different racial groups.

METHODS: We assessed long-term trajectories of sleep duration and incident diabetes in 22,285 Black adults (mean age ± SD, 51.1 ± 8.2 years; 64.8% women) and 13,737 White adults (mean age …

Changes In The Perceptions Of The Neighborhood Environment And Physical Activity Patterns Among Mexican Americans On The Texas-Mexico Border, Natalia I Heredia, Soo Kyung Park, Minjae Lee, Lisa Mitchell-Bennett, Paul Yeh, Rose Gowen, Arturo Rodriguez, Miryoung Lee, Belinda M Reininger

Faculty, Staff and Student Publications

INTRODUCTION: Little research on the association of neighborhood environment with physical activity in resource-poor communities has been done. This study assessed changes in perceptions of the neighborhood environment and the association between those perceptions and physical activity in Mexican Americans on the Texas-Mexico border in an area where there would be community efforts to enhance pedestrian and cycling infrastructure and programming.

METHODS: We analyzed data from a population-based cohort of Mexican American individuals on the Texas-Mexico border. From 2008 to 2018, interviewer-administered questionnaires were used to collect perceptions of neighborhood environment and physical activity at baseline, 5- and 10-year follow-ups, …

Proteomic Profile Of The Icam1 Pk56m Hfpef Risk Variant, Pedro Giro, Mallory Filipp, Michael J Zhang, Ethan D Moser, Edward B Thorp, Prarthana J Dalal, Ravi V Shah, Patrick T Ellinor, Jonathan W Cunningham, Sean J Jurgens, Arjun Sinha, Laura Rasmussen-Torvik, Jorge Kizer, Kent D Taylor, Philip Greenland, Bruce M Psaty, Russell P Tracy, Lin Yee Chen, Amil M Shah, Bing Yu, Sanjiv J Shah, Ravi B Patel

Faculty, Staff and Student Publications

A common missense variant in ICAM1 among African American individuals (rs5491; pK56M) has been associated with risk of heart failure with preserved ejection fraction (HFpEF), but the pathways that lead to HFpEF among those with this variant are not clear. In this analysis of 92 circulating proteins and their associated networks, we identified 7 circulating inflammatory proteins associated with rs5491 among >600 African American individuals. Using weighted coexpression network analysis, 3 protein networks were identified, one of which was associated with rs5491. This protein network was most highly represented by members of the tumor necrosis receptor superfamily. The rs5491 variant …

Proton Therapy Toxicity Outcomes For Localized Prostate Cancer: Long-Term Results At A Comprehensive Cancer Center, Alan J Sosa, Michael K Rooney, Howard D Thames, Jeremiah W Sanders, David M Swanson, Seungtaek L Choi, Quynh-Nhu Nguyen, Henry Mok, Deborah A Kuban, X Ron Zhu, Shalin Shah, Lauren L Mayo, Karen E Hoffman, Chad Tang, Sean E Mcguire, Narayan Sahoo, Xiaodong Zhang, Andrew K Lee, Thomas J Pugh, Usama Mahmood, John W Davis, Brian F Chapin, Paul Corn, Reena Kudchadker, Noveen Ausat, Steven J Frank

Faculty, Staff and Student Publications

BACKGROUND: Proton therapy (PT) has unique biologic properties with excellent clinical outcomes for the management of localized prostate cancer. Here, we aim to characterize the toxicity of PT for patients with localized prostate cancer and propose mitigation strategies using a large institutional database.

METHODS: We reviewed medical records of 2772 patients with localized prostate cancer treated with definitive PT between May 2006 through January 2020. Disease risk was stratified according to National Comprehensive Cancer Network guidelines as low [LR, n = 640]; favorable-intermediate [F-IR, n = 849]; unfavorable-intermediate [U-IR, n = 851]; high [HR, n = 315]; or very high …

Serum And Urine Metabolites And Kidney Function, Wan-Jin Yeo, Aditya L Surapaneni, Denise C Hasson, Insa M Schmidt, Peggy Sekula, Anna Köttgen, Kai-Uwe Eckardt, Casey M Rebholz, Bing Yu, Sushrut S Waikar, Eugene P Rhee, Sarah J Schrauben, Harold I Feldman, Ramachandran S Vasan, Paul L Kimmel, Josef Coresh, Morgan E Grams, Pascal Schlosser

Faculty, Staff and Student Publications

Key Points:

1. We provide an atlas of cross-sectional and longitudinal serum and urine metabolite associations with eGFR and urine albumin-creatinine ratio in an older community-based cohort.

2. Metabolic profiling in serum and urine provides distinct and complementary insights into disease.

Background: Metabolites represent a read-out of cellular processes underlying states of health and disease.

Methods: We evaluated cross-sectional and longitudinal associations between 1255 serum and 1398 urine known and unknown (denoted with “X” in name) metabolites (Metabolon HD4, 721 detected in both biofluids) and kidney function in 1612 participants of the Atherosclerosis Risk in Communities study. All analyses were adjusted for …

Characterizing Common And Rare Variations In Nontraditional Glycemic Biomarkers Using Multivariate Approaches On Multiancestry Aric Study, Debashree Ray, Stephanie J Loomis, Sowmya Venkataraghavan, Jiachen Zhang, Adrienne Tin, Bing Yu, Nilanjan Chatterjee, Elizabeth Selvin, Priya Duggal

Faculty, Staff and Student Publications

Genetic studies of nontraditional glycemic biomarkers, glycated albumin and fructosamine, can shed light on unknown aspects of type 2 diabetes genetics and biology. We performed a multiphenotype genome-wide association study of glycated albumin and fructosamine from 7,395 White and 2,016 Black participants in the Atherosclerosis Risk in Communities (ARIC) study on common variants from genotyped/imputed data. We discovered two genome-wide significant loci, one mapping to a known type 2 diabetes gene (ARAP1/STARD10) and another mapping to a novel region (UGT1A complex of genes), using multiomics gene-mapping strategies in diabetes-relevant tissues. We identified additional loci that were ancestry- and sex-specific (e.g., …

The Burden Of Diagnostic Error In Dentistry: A Study On Periodontal Disease Misclassification, Bunmi Tokede, Alfa Yansane, Ryan Brandon, Guo-Hao Lin, Chun-Teh Lee, Joel White, Xiaoqian Jiang, Eric Lee, Alaa Alsaffar, Muhammad Walji, Elsbeth Kalenderian

Faculty, Staff and Student Publications

Background: Periodontal disease constitutes a widely prevalent category of non-communicable diseases and ranks among the top 10 causes of disability worldwide. Little however is known about diagnostic errors in dentistry. In this work, by retrospectively deploying an electronic health record (EHR)-based trigger tool, followed by gold standard manual review, we provide epidemiological estimates on the rate of diagnostic misclassification in dentistry through a periodontal use case.

Methods: An EHR-based trigger tool (a retrospective record review instrument that uses a list of triggers (or clues), i.e., data elements within the health record, to alert reviewers to the potential presence of a …

Meta-Analysis Identifies Key Genes And Pathways Implicated In Benzo[A]Pyrene Exposure Response, Mingze Zhu, Jooyeon Hwang, Chao Xu

Faculty, Staff and Student Publications

Introduction: Benzo[a]pyrene (B[a]P) is a carcinogenic polycyclic aromatic hydrocarbon that poses significant risks to human health. B[a]P influences cellular processes via intricate interactions; however, a comprehensive understanding of B[a]P's effects on the transcriptome remains elusive. This study aimed to conduct a comprehensive analysis focused on identifying relevant genes and signaling pathways affected by B[a]P exposure and their impact on human gene expression.

Methods: We searched the Gene Expression Omnibus database and identified four studies involving B[a]P exposure in human cells (T lymphocytes, hepatocellular carcinoma cells, and C3A cells). We utilized two approaches for differential expression analysis: the LIMMA package and …

Sex Ratio At Birth Across 100 Years In Sweden And Risk Of Cardiovascular Disease And All-Cause Mortality – A National Register Study, Peter M Nilsson, Kristina Sundquist, Jan Sundquist, Casey Crump, Xinjun Li

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The human sex ratio at birth (SRB) undergoes temporary changes around a mean proportion of 0.51 male births. SRB has been well studied for historical, geographical, and secular trends, but until now not linked to health outcomes in the total population, e.g. for cardiovascular disease (CVD) or mortality during follow-up of birth cohorts. We used linkage analysis based on national registers in Sweden that cover all births from 1900 to 2016. SRB at birth was calculated by every 10-year birth cohort in all survivors living in 1997 for a follow-up analysis of risk of CVD and mortality with data from …

Lifr Regulates Cholesterol-Driven Bidirectional Hepatocyte-Neutrophil Cross-Talk To Promote Liver Regeneration, Yalan Deng, Zilong Zhao, Marisela Sheldon, Yang Zhao, Hongqi Teng, Consuelo Martinez, Jie Zhang, Chunru Lin, Yutong Sun, Fan Yao, Michael A Curran, Hao Zhu, Li Ma

Faculty, Staff and Student Publications

Liver regeneration is under metabolic and immune regulation. Despite increasing recognition of the involvement of neutrophils in regeneration, it is unclear how the liver signals to the bone marrow to release neutrophils after injury and how reparative neutrophils signal to hepatocytes to reenter the cell cycle. Here we report that loss of the liver tumour suppressor Lifr in mouse hepatocytes impairs, whereas overexpression of leukaemia inhibitory factor receptor (LIFR) promotes liver repair and regeneration after partial hepatectomy or toxic injury. In response to physical or chemical damage to the liver, LIFR from hepatocytes promotes the secretion of cholesterol and CXCL1 …

Panel Stacking Is A Threat To Consensus Statement Validity, Kasper P Kepp, Preben Aavitsland, Marcel Ballin, Francois Balloux, Stefan Baral, Kevin Bardosh, Howard Bauchner, Eran Bendavid, Raj Bhopal, Daniel T Blumstein, Paolo Boffetta, Florence Bourgeois, Adam Brufsky, Peter J Collignon, Sally Cripps, Ioana A Cristea, Nigel Curtis, Benjamin Djulbegovic, Oliver Faude, Maria Elena Flacco, Gordon H Guyatt, George Hajishengallis, Lars G Hemkens, Tammy Hoffmann, Ari R Joffe, Terry P Klassen, Despina Koletsi, Dimitrios P Kontoyiannis, Ellen Kuhl, Carlo La Vecchia, Tea Lallukka, John Lambris, Michael Levitt, Spyros Makridakis, Helena C Maltezou, Lamberto Manzoli, Ana Marusic, Clio Mavragani, David Moher, Ben W Mol, Taulant Muka, Florian Naudet, Paul W Noble, Anna Nordström, Peter Nordström, Nikolaos Pandis, Stefania Papatheodorou, Chirag J Patel, Irene Petersen, Stefan Pilz, Nikolaus Plesnila, Anne-Louise Ponsonby, Manuel A Rivas, Andrea Saltelli, Manuel Schabus, Michaéla C Schippers, Holger Schünemann, Marco Solmi, Andreas Stang, Hendrik Streeck, Joachim P Sturmberg, Lehana Thabane, Brett D Thombs, Athanasios Tsakris, Simon N Wood, John P A Ioannidis

Faculty, Staff and Student Publications

Consensus statements can be very influential in medicine and public health. Some of these statements use systematic evidence synthesis but others fail on this front. Many consensus statements use panels of experts to deduce perceived consensus through Delphi processes. We argue that stacking of panel members toward one particular position or narrative is a major threat, especially in absence of systematic evidence review. Stacking may involve financial conflicts of interest, but nonfinancial conflicts of strong advocacy can also cause major bias. Given their emerging importance, we describe here how such consensus statements may be misleading, by analyzing in depth a …

Generative Large Language Models Are All-Purpose Text Analytics Engines: Text-To-Text Learning Is All Your Need, Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning.

Methods: We formulated 7 key clinical NLP tasks as text-to-text learning and solved them using one unified generative clinical LLM, GatorTronGPT, developed using GPT-3 architecture and trained with up to 20 billion parameters. We adopted soft prompts (ie, trainable vectors) with frozen LLM, where the LLM parameters were not updated (ie, frozen) and only the vectors of soft prompts were updated, known as prompt tuning. We added additional soft prompts as a prefix …

Metabolic Cell Death In Cancer: Ferroptosis, Cuproptosis, Disulfidptosis, And Beyond, Chao Mao, Min Wang, Li Zhuang, Boyi Gan

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Cell death resistance represents a hallmark of cancer. Recent studies have identified metabolic cell death as unique forms of regulated cell death resulting from an imbalance in the cellular metabolism. This review discusses the mechanisms of metabolic cell death-ferroptosis, cuproptosis, disulfidptosis, lysozincrosis, and alkaliptosis-and explores their potential in cancer therapy. Our review underscores the complexity of the metabolic cell death pathways and offers insights into innovative therapeutic avenues for cancer treatment.

Biomechanical Analysis Of Age-Dependent Changes In Fontan Power Loss, A Sahni, L Marshall, M A Cetatoiu, J Davee, N Schulz, E R Eickhoff, N St Clair, S Ghelani, A Prakash, P E Hammer, D M Hoganson, P J Del Nido, R H Rathod, Vijay Govindarajan

Faculty, Staff and Student Publications

The hemodynamics in Fontan patients with single ventricles rely on favorable flow and energetics, especially in the absence of a subpulmonary ventricle. Age-related changes in energetics for extracardiac and lateral tunnel Fontan procedures are not well understood. Vorticity (VOR) and viscous dissipation rate (VDR) are two descriptors that can provide insights into flow dynamics and dissipative areas in Fontan pathways, potentially contributing to power loss. This study examined power loss and its correlation with spatio-temporal flow descriptors (vorticity and VDR). Data from 414 Fontan patients were used to establish a relationship between the superior vena cava (SVC) to inferior vena …