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Articles 121 - 150 of 8884
Full-Text Articles in Medicine and Health Sciences
Continuous Vs Intermittent Postoperative Vital Sign Monitoring: A Cluster Randomized Crossover Trial, Ashish K Khanna, Nathaniel Sean O'Connell, Amit K Saha, Megan Henley Hicks, Robert S Weller, Lynnette Harris, Bruce D Cusson, Ann Faris, Carolyn S Huffman, Scott Segal, Brian J Wells, Eric S Kirkendall, Daniel I Sessler
Continuous Vs Intermittent Postoperative Vital Sign Monitoring: A Cluster Randomized Crossover Trial, Ashish K Khanna, Nathaniel Sean O'Connell, Amit K Saha, Megan Henley Hicks, Robert S Weller, Lynnette Harris, Bruce D Cusson, Ann Faris, Carolyn S Huffman, Scott Segal, Brian J Wells, Eric S Kirkendall, Daniel I Sessler
Faculty, Staff and Student Publications
Importance: Continuous postoperative monitoring on general nursing units detects vital sign abnormalities that are missed with conventional intermittent monitoring. Early recognition may prompt interventions to limit potentially harmful blood pressure, heart rate, and oxygen saturation perturbations.
Objective: To test the hypothesis that continuous unblinded monitoring of vital signs would decrease blood pressure, heart rate, and oxygen saturation abnormalities compared with intermittent monitoring in patients recovering from noncardiac surgery.
Design, setting, and participants: This multiple crossover randomized cluster trial in 2 postoperative hospital wards included patients recovering from noncardiac surgery and was conducted from October 7, 2020, to October 7, 2021. …
Dna Methylation Is Associated With Von Willebrand Factor And Coagulation Factor Viii Plasma Levels: The Atherosclerosis Risk In Communities Study, Julie Hahn, Jan Bressler, Myriam Fornage, Eric Boerwinkle, Nicholas L Smith, Alanna C Morrison, Paul S De Vries
Dna Methylation Is Associated With Von Willebrand Factor And Coagulation Factor Viii Plasma Levels: The Atherosclerosis Risk In Communities Study, Julie Hahn, Jan Bressler, Myriam Fornage, Eric Boerwinkle, Nicholas L Smith, Alanna C Morrison, Paul S De Vries
Faculty, Staff and Student Publications
Background: Limited information is available on how DNA methylation of cytosine-phosphate-guanine (CpG) sites across the genome regulate circulating von Willebrand Factor (VWF) and factor VIII (FVIII) levels.
Methods: We performed an epigenome-wide association study to examine the association of leukocyte DNA methylation levels at 483,735 CpG sites with VWF antigen plasma levels and FVIII activity in 2,597 Black and 1,011 White participants from the Atherosclerosis Risk in Communities (ARIC) study. VWF antigen levels and FVIII activity were measured at the baseline exam, while DNA methylation was measured with the Infinium HumanMethylation450 BeadChip array at visit 2 or 3. Discovery analysis …
Poly(Adp-Ribose) Glycohydrolase Enforces P21 Degradation Via Deparylation To Promote Gastric Cancer Progression, Yangchan Hu, Qimei Bao, Yixing Huang, Yan Wang, Xin Zhao, Junjun Nan, Yuxin Meng, Mingcong Deng, Yuancong Li, Zirui Zhuang, Hanyi He, Dan Zu, Yuke Zhong, Chunkai Zhang, Bing Wang, Ran Li, Yanhua He, Qihan Wang, Min Liu, John A Tainer, Yin Shi, Xiangdong Cheng, Ji Jing, Zu Ye
Poly(Adp-Ribose) Glycohydrolase Enforces P21 Degradation Via Deparylation To Promote Gastric Cancer Progression, Yangchan Hu, Qimei Bao, Yixing Huang, Yan Wang, Xin Zhao, Junjun Nan, Yuxin Meng, Mingcong Deng, Yuancong Li, Zirui Zhuang, Hanyi He, Dan Zu, Yuke Zhong, Chunkai Zhang, Bing Wang, Ran Li, Yanhua He, Qihan Wang, Min Liu, John A Tainer, Yin Shi, Xiangdong Cheng, Ji Jing, Zu Ye
Faculty, Staff and Student Publications
Dysregulation of cell cycle checkpoints is a cancer hallmark, with ubiquitination-controlled protein stability playing a pivotal role. Although p21, a key cyclin-dependent kinase inhibitor, is tightly regulated by ubiquitin-mediated degradation, the key upstream modulators of its ubiquitination remain incompletely defined. Here, we identify poly(ADP-ribose) glycohydrolase (PARG) as a regulator of p21 stability in gastric cancer (GC) cells. We show that PARG expression is markedly upregulated in GC tissues and correlates with poor patient prognosis. Functional assays revealed that genetic depletion of PARG triggers G2/M phase arrest and impairs GC cell proliferation. Mechanistically, we demonstrate that PARG loss enhances p21 PARylation, …
Mechanometabolism Instructs Hematopoietic Stem Cell Specification, Paulina D Horton, Alina Syed, Michelle Winkler, Abishek B Vaidya, Michael Rariden, Neha Arora, Yong Zhou, Michihiro Kobayashi, Momoko Yoshimoto, Hyun Jung Lee, Hyun-Eui Kim, John P Hagan, Catherine Denicourt, Travis I Moore, Pamela L Wenzel
Mechanometabolism Instructs Hematopoietic Stem Cell Specification, Paulina D Horton, Alina Syed, Michelle Winkler, Abishek B Vaidya, Michael Rariden, Neha Arora, Yong Zhou, Michihiro Kobayashi, Momoko Yoshimoto, Hyun Jung Lee, Hyun-Eui Kim, John P Hagan, Catherine Denicourt, Travis I Moore, Pamela L Wenzel
Faculty, Staff and Student Publications
Mechanical force generated by blood flow stimulates emergence of the first hematopoietic stem cells (HSCs) that populate the blood system. Force drives the transition of HSC precursors from an endothelial to hematopoietic identity, yet the molecular regulation of this fate switch remains poorly understood. We report that shear stress triggers adaptation in mitochondrial composition, ultrastructure, and function, which are essential for hematopoietic fate and engraftment potential. Shear stress remodels mitochondria in hemogenic endothelium by promoting mitochondrial gene transcription and protein synthesis. Laminar flow selectively initiates translation of 5' terminal polypyrimidine (5'TOP) motif-containing transcripts, which commonly encode ribosome and translation machinery. …
Physical And Occupational Therapist Evaluations For Fall Prevention In The Emergency Department: A Geriatric Ed Guidelines 2.0 Systematic Review, Lauren T Southerland, Pedro K Curiati, Richard D Shih, Alexander X Lo, Kristie Harper, Ian Tarnovsky, Alexis Brengartner, Luna Ragsdale, Neha Raukar, Suzanne Ryer, Katherine M Hunold, Fabrice Mowbray, Charles L Maddow, Christopher R Carpenter, Shan W Liu
Physical And Occupational Therapist Evaluations For Fall Prevention In The Emergency Department: A Geriatric Ed Guidelines 2.0 Systematic Review, Lauren T Southerland, Pedro K Curiati, Richard D Shih, Alexander X Lo, Kristie Harper, Ian Tarnovsky, Alexis Brengartner, Luna Ragsdale, Neha Raukar, Suzanne Ryer, Katherine M Hunold, Fabrice Mowbray, Charles L Maddow, Christopher R Carpenter, Shan W Liu
Faculty, Staff and Student Publications
Background: Older adults are at high risk for severe injuries and death from falls. Physical therapist (PT) and occupational therapist (OT) evaluations have been introduced into Emergency Department (ED) care to assist with fall risk evaluation and fall prevention care. An evaluation of current evidence was undertaken to inform the Geriatric ED Guidelines 2.0.
Methods: Systematic review of physical and/or occupational therapy evaluation for fall prevention in the ED. The intervention was evaluation by a rehabilitation therapist (PT, OT, or both) for fall prevention, fall assessment, or mitigation of fall risk factors. Studies that did not perform the evaluation during …
Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson
Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson
Faculty, Staff and Student Publications
Purpose: To evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized 13C urea.
Methods: Three models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in …
Real-World Effectiveness Of Second-Line Therapies In Advanced Non-Small Cell Lung Cancer: Insights From Propensity-Weighted Comparative Analyses Of Longitudinal Ehr Data, Gary C N Hettinger, Qi Long, Ravi B Parikh
Real-World Effectiveness Of Second-Line Therapies In Advanced Non-Small Cell Lung Cancer: Insights From Propensity-Weighted Comparative Analyses Of Longitudinal Ehr Data, Gary C N Hettinger, Qi Long, Ravi B Parikh
Faculty, Staff and Student Publications
Background: While substantial research has focused on first-line (1L) therapies for advanced-stage non-small cell lung cancer (aNSCLC), less is known about the effectiveness of second-line (2L) treatments following disease progression on 1L. The poor prognosis after 1L progression, limited guidance for 2L treatment, and constraints of clinical trials in addressing these questions underscore the need for real-world comparative effectiveness research.
Methods: We conducted a retrospective analysis to compare real-world overall survival (rwOS) associated with 2L treatments among patients with disease progression during 1L. Eligible patients were selected from Flatiron Health's nationwide electronic health record (EHR)-derived de-identified database. 1L and 2L …
Information Extraction From Clinical Notes: Are We Ready To Switch To Large Language Models?, Yan Hu, Xu Zuo, Yujia Zhou, Xueqing Peng, Jimin Huang, Vipina K Keloth, Vincent J Zhang, Ruey-Ling Weng, Cathy Shyr, Qingyu Chen, Xiaoqian Jiang, Kirk E Roberts, Hua Xu
Information Extraction From Clinical Notes: Are We Ready To Switch To Large Language Models?, Yan Hu, Xu Zuo, Yujia Zhou, Xueqing Peng, Jimin Huang, Vipina K Keloth, Vincent J Zhang, Ruey-Ling Weng, Cathy Shyr, Qingyu Chen, Xiaoqian Jiang, Kirk E Roberts, Hua Xu
Faculty, Staff and Student Publications
Objectives: To assess the performance, generalizability, and computational efficiency of instruction-tuned Large Language Model Meta AI (LLaMA)-2 and LLaMA-3 models compared to bidirectional encoder representations from transformers (BERT) for clinical information extraction (IE) tasks, specifically named entity recognition (NER) and relation extraction (RE).
Materials and methods: We developed a comprehensive annotated corpus of 1588 clinical notes from 4 data sources-UT Physicians (UTP) (1342 notes), Transcribed Medical Transcription Sample Reports and Examples (MTSamples) (146), Medical Information Mart for Intensive Care (MIMIC)-III (50), and Informatics for Integrating Biology and the Bedside (i2b2) (50), capturing 4 clinical entities (problems, tests, medications, other treatments) …
Urinary Cotinine Cut-Offs For Tobacco Smoke Exposure In Pregnancy And Associations With Child Intelligence Quotient: A Multi-Cohort Analysis, Yu Ni, Logan C Dearborn, Adam A Szpiro, Christine T Loftus, Qi Zhao, Nicole R Bush, Kaja Z Lewinn, Marnie F Hazlehurst, Thomas F Northrup, Penelope J E Quintana, Eunha Hoh, Georg Matt, Catherine J Karr
Urinary Cotinine Cut-Offs For Tobacco Smoke Exposure In Pregnancy And Associations With Child Intelligence Quotient: A Multi-Cohort Analysis, Yu Ni, Logan C Dearborn, Adam A Szpiro, Christine T Loftus, Qi Zhao, Nicole R Bush, Kaja Z Lewinn, Marnie F Hazlehurst, Thomas F Northrup, Penelope J E Quintana, Eunha Hoh, Georg Matt, Catherine J Karr
Faculty, Staff and Student Publications
Background: Prenatal exposure to tobacco smoke may impair neurodevelopment in children. However, accurately characterizing this exposure remains challenging.
Methods: We pursued two objectives in this large population study. First, in 1708 pregnant women from the Environmental Influences on Child Health Outcomes (ECHO) cohort, we constructed Receiver Operating Characteristic (ROC) curves to determine urinary cotinine cut-offs to classify firsthand (FHS), environmental (ETS), and no exposure, and further distinguished secondhand (SHS) from thirdhand smoke (THS) exposure within ETS. Second, among 1593 participants in three pregnancy cohorts nested in ECHO, we fit multivariable linear regressions to examine the association between the newly defined …
Alpha 7 Nicotinic Acetylcholine Receptor Contributes To Long-Term Cognitive Recovery Following Ischemic Stroke, Dustin T Nguyen, Kate Mendoza, Cassandra Hall, Chunfeng Tan, Anjali Chauhan
Alpha 7 Nicotinic Acetylcholine Receptor Contributes To Long-Term Cognitive Recovery Following Ischemic Stroke, Dustin T Nguyen, Kate Mendoza, Cassandra Hall, Chunfeng Tan, Anjali Chauhan
Faculty, Staff and Student Publications
Stroke is associated with autonomic dysfunction and reduced acetylcholine (ACh), a neurotransmitter critical for cognition. ACh signals in part through the alpha-7 nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel involved in synaptic plasticity, learning, and memory. Impaired α7nAChR signaling has been linked to heightened neuroinflammation and poor acute stroke recovery. Here, we investigated whether α7nAChR contributes to post-stroke cognitive recovery in young male mice. Wild-type (WT) and α7nAChR knockout (α7n0KO) mice underwent 60-min middle cerebral artery occlusion (MCAO). In a pharmacology cohort, the α7nAChR agonist GTS-21 was administered immediately after reperfusion and then daily for 20 days. Cognitive performance …
Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea
Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea
Faculty, Staff and Student Publications
No abstract provided.
Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani
Impact Of Mutational Landscape And Burden On Rbc Transfusion Response In Patients With Lower-Risk Myelodysplastic Syndromes (Lr-Mds) In The Commands Study, Rami S Komrokji, Sheida Hayati, Manuel Ugidos, Guillermo Garcia-Manero, Matteo Giovanni Della Porta, Amer M Zeidan, Valeria Santini, Uwe Platzbecker, Anita K Gandhi, Rajasekhar N V S Suragani
Faculty, Staff and Student Publications
The COMMANDS trial established luspatercept as a first‐line treatment for anemia in transfusion‐dependent lower‐risk (LR) myelodysplastic syndromes (MDS). Here we report red blood cell (RBC) transfusion response analysis based on somatic mutations profile and disease risk for patients treated with luspatercept or epoetin alfa in the COMMANDS trial. Of 350 evaluable patients, 238 (68.0%) had MDS with multiple lineage dysplasia and ring sideroblasts (RS) according to World Health Organization 2016 criteria, and 320 (91.4%) had somatic mutations in ≥ 1 gene (median, 2) with median variant allele frequencies (VAF) of 2%–59%. Mutation profiles were similar in the treatment groups. Luspatercept …
Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang
Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang
Faculty, Staff and Student Publications
Chronic cerebral hypoperfusion (CCH) profoundly affects patient well-being and has been proposed as a risk factor for cognitive impairment and dementia. However, due to the limited understanding of the pathophysiology of CCH, there are currently no effective preventive or therapeutic approaches for CCH-associated cognitive impairment. Therefore, identifying new targets for CCH is essential to bridge this knowledge gap. In this study, we sought to determine whether enhanced myelination could prevent cognitive impairment associated with CCH. Experimental CCH was induced via bilateral common carotid artery occlusion (BCCAO) in rats, and clemastine, a well-established pro-myelinating agent, was administered to boost myelin renewal. …
Beyond Short Microhomologies: Mismatch-Compatible Pol Θ-Mediated Dna Damage Repair, Yuzhen Li, Richard D Wood
Beyond Short Microhomologies: Mismatch-Compatible Pol Θ-Mediated Dna Damage Repair, Yuzhen Li, Richard D Wood
Faculty, Staff and Student Publications
DNA polymerase θ (Pol θ)-mediated end-joining (TMEJ), one of several pathways for repairing DNA double-strand breaks, is traditionally thought to initiate via anchoring at short, consecutive, and perfectly matched microhomologies (MHs). Emerging evidence indicates that Pol θ can utilize MHs containing mismatches both in vitro and in vivo. This revised definition of MH provides a mechanistic explanation for a broader spectrum of Pol θ-dependent repair outcomes. Here, we summarize recent findings on the revised definition of MHs utilized by Pol θ, assess the applicability of this concept across species, and compare TMEJ with other (micro)hom(e)ology-mediated repair pathways. We explore how …
Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang
Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang
Faculty, Staff and Student Publications
Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …
Clinicopathologic And Molecular Characteristics Of High-Grade Appendiceal Mucinous Neoplasms, Ashlee N Seldomridge, Michael G White, Christopher Scally, Richard E Royal, Mark Routbort, Jbryan Iorgulescu, Michael J Overman, Sun Mi Lee, Wai Chin Foo, Melissa W Taggart, Yun Song, Paul F Mansfield, Keith F Fournier, John Paul Shen, Beth A Helmink
Clinicopathologic And Molecular Characteristics Of High-Grade Appendiceal Mucinous Neoplasms, Ashlee N Seldomridge, Michael G White, Christopher Scally, Richard E Royal, Mark Routbort, Jbryan Iorgulescu, Michael J Overman, Sun Mi Lee, Wai Chin Foo, Melissa W Taggart, Yun Song, Paul F Mansfield, Keith F Fournier, John Paul Shen, Beth A Helmink
Faculty, Staff and Student Publications
Background: Although 2016 consensus guidelines defined high-grade appendiceal mucinous neoplasms (HAMNs) as a distinct histologic entity, their clinical course and optimal management remain poorly characterized. Comparative data with low-grade appendiceal mucinous neoplasms (LAMNs) are limited. This study aims to detail the clinical management and outcomes of patients with HAMN and those with LAMN.
Methods: This retrospective cohort study was conducted at a large academic cancer center. An internal database was queried to identify patients with LAMN or HAMN who underwent appendectomy between 2016 and 2024. Kaplan-Meier survival analyses were used to assess the impact of primary tumor type and peritoneal …
Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou
Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou
Faculty, Staff and Student Publications
Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reporting in clinical trials remains a persistent challenge. In particular, AEs occurring below study-specific reporting thresholds are often omitted from publications, leading to left-censored data. Failure to account for these censored AE counts can result in biased AE incidence estimates. We present an R Shiny application that implements a Bayesian meta-analysis model specifically designed to incorporate censored AE data into the estimation process. This interactive tool provides a …
Evaluating Icd-11 Against Established Terminology Standards: A Dual-Framework Analysis, Kathy L. Giannangelo, Susan H. Fenton, Mary H. Stanfill
Evaluating Icd-11 Against Established Terminology Standards: A Dual-Framework Analysis, Kathy L. Giannangelo, Susan H. Fenton, Mary H. Stanfill
Faculty, Staff and Student Publications
Background
The healthcare world is evaluating and adopting the World Health Organization’s (WHO’s) International Statistical Classification of Diseases and Related Health Problems Eleventh Revision (ICD-11) for Mortality and Morbidity Statistics (MMS). The objective of this study is to evaluate the degree to which the ICD-11 Foundation and the ICD-11 MMS linearization adhere to accepted terminology practices.
Methods
This study consisted of an evaluation of the ICD-11 Foundation and ICD-11 MMS, using two established evaluation frameworks. Initial assessments were independently evaluated using publicly available documentation and designated one of five endpoints: meets criterion, partially meets criterion, does not meet criterion, criterion …
Classification Of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, And Thickness With A Deep And A Shallow Learning Model, Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R K Ching, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G Davey, Annemiek Dols, Jan Ernsting, Jennifer W Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Tim Hahn, J Paul Hamilton, Laura K M Han, Ben J Harrison, Tiffany C Ho, Neda Jahanshad, Alec J Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Ramona Leenings, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Susanne Meinert, Elisa Melloni, Bryon A Mueller, Benson Mwangi, Igor Nenadić, Amar Ojha, Yasumasa Okamoto, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Joaquim Radua, Elena Rodríguez-Cano, Matthew D Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C Soares, Aleix Solanes, Dan J Stein, Frederike Stein, Aleks Stolicyn, Sophia I Thomopoulos, Yara J Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C Whalley, Sarah Whittle, Nils Winter, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Enigma Major Depressive Disorder Working Group
Classification Of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, And Thickness With A Deep And A Shallow Learning Model, Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R K Ching, Andre Aleman, Alyssa R Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G Davey, Annemiek Dols, Jan Ernsting, Jennifer W Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H Gotlib, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Tim Hahn, J Paul Hamilton, Laura K M Han, Ben J Harrison, Tiffany C Ho, Neda Jahanshad, Alec J Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas Lancaster, Ramona Leenings, Meng Li, David E J Linden, Frank P Macmaster, David M A Mehler, Susanne Meinert, Elisa Melloni, Bryon A Mueller, Benson Mwangi, Igor Nenadić, Amar Ojha, Yasumasa Okamoto, Mardien L Oudega, Brenda W J H Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J Portella, Joaquim Radua, Elena Rodríguez-Cano, Matthew D Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C Soares, Aleix Solanes, Dan J Stein, Frederike Stein, Aleks Stolicyn, Sophia I Thomopoulos, Yara J Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C Whalley, Sarah Whittle, Nils Winter, Katharina Wittfeld, Margaret J Wright, Mon-Ju Wu, Tony T Yang, Carlos Zarate, Dick J Veltman, Lianne Schmaal, Paul M Thompson, Enigma Major Depressive Disorder Working Group
Faculty, Staff and Student Publications
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used …
Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi
Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi
Faculty, Staff and Student Publications
Purpose: To evaluate the impact of intra- and interfractional motion on dose distribution and clinical outcome in prostate magnetic resonance (MR)-guided adaptive radiotherapy.
Methods: Seventy-six patients were treated with five-fraction stereotactic radiotherapy on a 1.5 T MR linear accelerator. Cine MR images were acquired during treatment and exported to a motion monitoring research package, to generate motion traces in the anterior-posterior (AP), superior-inferior (SI) and left-right (LR) directions. Planned dose distributions were shifted according to motion trace to reconstruct intrafraction motion-blurred dose. Intrafraction motion-blurred doses were deformably registered to fraction one motion-blurred dose to obtain interfraction accumulated dose. The impact …
Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon
Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon
Faculty, Staff and Student Publications
Neurobiological models of conceptual processing have been limited in spatiotemporal resolution, and uncertainty remains about the causal role of specific regions in concept representation. We utilized intracranial recordings in human neurosurgical patients with epilepsy (n = 19) during a concreteness judgement paradigm of single word reading. Concrete concepts showed greater high-frequency activation across a frontal and ventrotemporal network, while greater activation for abstract words was found in lateral posterior middle temporal cortex. Intercortical communications, measured by high-frequency partial direct coherence, revealed bidirectional frontal and ventral plus lateral temporal interactions. Words occupying the middle range of the concreteness scale (e.g., "profit") …
Trends And Challenges: A 15-Year Review Of Imaging And Radiation Oncology Core Anthropomorphic Phantom Audits For Proton Therapy, Lian Duan, Hunter S Mehrens, Stephen F Kry, Jessica R L Lowenstein, Nadia Hernandez, Lucas B Acuna Scafati, Paige A Taylor
Trends And Challenges: A 15-Year Review Of Imaging And Radiation Oncology Core Anthropomorphic Phantom Audits For Proton Therapy, Lian Duan, Hunter S Mehrens, Stephen F Kry, Jessica R L Lowenstein, Nadia Hernandez, Lucas B Acuna Scafati, Paige A Taylor
Faculty, Staff and Student Publications
Purpose: This study aims to analyze the trends in institutional performance on Imaging and Radiation Oncology Core (IROC) proton phantoms and to investigate the impact of treatment parameters on proton therapy delivery accuracy.
Materials and methods: We analyzed 402 IROC anthropomorphic phantom audits performed by 57 institutions worldwide between 2009 and 2024, including brain, head and neck (H&N), spine, prostate, lung, and liver phantoms. Dosimetric assessments included thermoluminescent dosimeters (TLDs) for dose comparison and gamma analysis of radiochromic film. The lung and liver phantoms were irradiated with simulated motion. Univariate analysis was performed to evaluate the relationships between treatment parameters …
Selective Deletion Of Fgfr1 In Agrp Neurons Impairs Energy Homeostasis Under High-Fat Diet In Mice, Daniel Shookster, Shea O'Connell, Patel Darshan, Taylor Landry, Wyatt Bunner, Zhiying Jiang, Qingchun Tong, Hu Huang
Selective Deletion Of Fgfr1 In Agrp Neurons Impairs Energy Homeostasis Under High-Fat Diet In Mice, Daniel Shookster, Shea O'Connell, Patel Darshan, Taylor Landry, Wyatt Bunner, Zhiying Jiang, Qingchun Tong, Hu Huang
Faculty, Staff and Student Publications
Background: The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects in rodents through AgRP neurons, the intracellular signaling mechanisms that mediate this process remain undefined.
Methods: To define the role of FGFR1 within the α-Klotho signaling pathway in AgRP neurons, we performed a targeted deletion of the receptor in adult mice using an AAV-mediated CRISPR/Cas9 system alongside transgenic models.
Results: Deletion of FGFR1 in AgRP neurons disrupted energy homeostasis, promoting weight gain induced by a high-fat diet. Electrophysiological recordings revealed that FGFR1 …
Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Gonzalo Lopez, Marc Williams, Hsin-Hsiung Huang, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang
Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Gonzalo Lopez, Marc Williams, Hsin-Hsiung Huang, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang
Faculty, Staff and Student Publications
Background: The number and type of genetic alterations required to initiate breast and ovarian cancer remain unclear. While germline BRCA1/2 carriers show markedly elevated cancer risk, it is uncertain whether point mutations or copy number alterations constitute the rate-limiting events of tumourigenesis.
Methods: We developed a statistical framework extending prior incidence-mutation models to estimate the minimal number and type of driver events required for cancer initiation. Somatic mutation and copy-number data from >3000 breast and ovarian cancers in TCGA and METABRIC were compared between germline BRCA1/2 carriers and non-carriers matched on subtypes. Results were validated through analyses of evolutionary timing …
Cd44v9 As A Therapeutic Target For Antibody-Drug Conjugate In Advanced Breast Cancer, Dileep R Reddy, Mckenna E Flynn, Yasuaki Anami, Zhaoxuan Yang, Jayden Aleman, Minji Seo, Kyoji Tsuchikama, Jennifer A Maynard, Naoto T Ueno, Jangsoon Lee
Cd44v9 As A Therapeutic Target For Antibody-Drug Conjugate In Advanced Breast Cancer, Dileep R Reddy, Mckenna E Flynn, Yasuaki Anami, Zhaoxuan Yang, Jayden Aleman, Minji Seo, Kyoji Tsuchikama, Jennifer A Maynard, Naoto T Ueno, Jangsoon Lee
Faculty, Staff and Student Publications
Antibody-drug conjugates (ADCs) have revolutionized breast cancer therapy. HER2 is the only validated biomarker guiding ADC therapy in breast cancer. However, their clinical benefit remains confined to HER2- and TROP2-targeted therapies. Tumor heterogeneity and acquired resistance often limit durable responses, underscoring the need for novel, tumor-specific ADC targets. CD44 variant isoform 9 (CD44v9), a splice variant of the CD44 family, is largely absent in normal tissues but enriched in aggressive breast cancers, where it contributes to stemness, redox regulation, and therapy resistance. In this study, we developed a chimeric monoclonal antibody against CD44v9 (clone SUM24.1, IgG1) and conjugated it to …
Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
Faculty, Staff and Student Publications
With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …
Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li
Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li
Faculty, Staff and Student Publications
The identification of tumor cells is pivotal for understanding tumor heterogeneity and the tumor microenvironment. Recent advances in spatially resolved transcriptomics (SRT) have revolutionized the way that transcriptomic profiles are characterized and have enabled the simultaneous quantification of transcript locations in intact tissue samples. SRT is a promising alternative method to study gene expression patterns in spatial domains. Nevertheless, the precise detection of tumor regions within intact tissue remains a great challenge. A common strategy for identifying tumor cells is via tumor-specific marker gene expression signatures, which are highly dependent on marker accuracy. Another effective approach is through aneuploid copy …
Defining A Quantitative Threshold For Adaptive Re-Planning Using A Percentile-Based Scoring System, Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy, Karen Hoffman, Ivan Vazquez, Ming Yang, Joshua S Niedzielski, Laurence E Court, Thomas J Whitaker
Defining A Quantitative Threshold For Adaptive Re-Planning Using A Percentile-Based Scoring System, Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy, Karen Hoffman, Ivan Vazquez, Ming Yang, Joshua S Niedzielski, Laurence E Court, Thomas J Whitaker
Faculty, Staff and Student Publications
Background: Despite the frequent need for adaptive planning in head and neck proton therapy, no quantitative indicators have been identified to determine when a plan should be adapted. Here, we aimed to determine a quantitative threshold for the change in plan quality between the primary treatment plan and verification plans that correlates with the physician's decision to adapt.
Methods: Primary treatment and verification plans were extracted from the clinical treatment planning system for 167 patients who underwent intensity-modulated proton therapy for base of tongue, tonsillar, or oropharyngeal cancers, with and without nodal involvement, between 2016 and 2021. All plans were …
Optimizing Feasibility And Acceptability Of An Online Expressive Writing Intervention For Survivors Of Adolescent And Young Adult Cancer: A Pilot Randomized Trial Of Iterative Modifications And Outcomes, Eunju Choi, Yusi Aveva Xu, Celia Cy Wong-Meli, Michael E Roth, Yisheng Li, Qian Lu
Optimizing Feasibility And Acceptability Of An Online Expressive Writing Intervention For Survivors Of Adolescent And Young Adult Cancer: A Pilot Randomized Trial Of Iterative Modifications And Outcomes, Eunju Choi, Yusi Aveva Xu, Celia Cy Wong-Meli, Michael E Roth, Yisheng Li, Qian Lu
Faculty, Staff and Student Publications
Objective: To evaluate the feasibility of an online expressive writing (EW) intervention for survivors of adolescent and young adult (AYA) cancer and determine whether iterative, theory-driven modifications can enhance response, adherence, and completion rates.
Methods: In this randomized pilot trial, survivors of AYA cancer were recruited through a hospital-based AYA oncology clinic and an online community. Forty participants were randomly assigned to the EW intervention or control group. To improve on lower-than-expected adherence and completion rates in a previous cohort, the protocol was iteratively revised using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). Modifications included …
Intraoperative Ultrasound Imaging Features Guiding Surgical Strategy In Spinal Cord Ependymoma Resection, Esteban Ramirez-Ferrer, Ian E Mccutcheon, Gil Kimchi, Behrang Amini, Romulo Andrade Almeida, Francisco Call-Orellana, Juan Pablo Zuluaga-Garcia, Robert Y North, Christopher A Alvarez-Breckenridge, Jeffrey S Weinberg, Laurence D Rhines, Claudio E Tatsui
Intraoperative Ultrasound Imaging Features Guiding Surgical Strategy In Spinal Cord Ependymoma Resection, Esteban Ramirez-Ferrer, Ian E Mccutcheon, Gil Kimchi, Behrang Amini, Romulo Andrade Almeida, Francisco Call-Orellana, Juan Pablo Zuluaga-Garcia, Robert Y North, Christopher A Alvarez-Breckenridge, Jeffrey S Weinberg, Laurence D Rhines, Claudio E Tatsui
Faculty, Staff and Student Publications
Background and objectives: Preoperative imaging provides surgeons with an initial estimate of tumor infiltration and the likelihood of achieving an en-bloc resection in spinal cord ependymomas, yet the definitive decision is made intraoperatively. This study characterizes the intraoperative ultrasound (iUS) features that guide real-time surgical strategy and are associated with successful en-bloc removal.
Methods: A retrospective review of iUS images obtained during resection of spinal cord ependymomas was performed. The presence of a peritumoral halo representing the transition zone between the tumor and the spinal cord, the dorsal sagittal area of the spinal cord overlying the tumoral poles, the presence …