Medicine and Health Sciences Commons^™

Genome-Wide Association Study For Lung Cancer In 6531 African Americans Reveals New Susceptibility Loci, Jinyoung Byun, Younghun Han, Jiyeon Choi, Ryan Sun, Vikram R Shaw, Catherine Zhu, Xiangjun Xiao, Christine Lusk, Hoda Badr, Hyun-Sung Lee, Hee-Jin Jang, Yafang Li, Hyeyeun Lim, Erping Long, Yanhong Liu, Linda Kachuri, Kyle M Walsh, John K Wiencke, Demetrius Albanes, Stephen Lam, Adonina Tardon, Marian L Neuhouser, Matt J Barnett, Chu Chen, Stig Bojesen, Hermann Brenner, Maria Teresa Landi, Mattias Johansson, Angela Risch, H-Erich Wichmann, Heike Bickeböller, David C Christiani, Gad Rennert, Susanne Arnold, John K Field, Sanjay Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Shanbeh Zienolddiny, Kjell Grankvist, Mikael Johansson, Neil Caporaso, Fiona Taylor, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Alpa Patel, Xihong Lin, Krista A Zanetti, Curtis C Harris, Stephen Chanock, James Mckay, Ann G Schwartz, Rayjean J Hung, Christopher I Amos

Faculty, Staff and Student Publications

Despite lung cancer affecting all races and ethnicities, disparities are observed in incidence and mortality rates among different ethnic groups in the United States. Non-Hispanic African Americans had a high incidence rate of lung cancer at 55.8 per 100 000 people, as well as the highest death rate at 37.2 per 100 000 people from 2016 to 2020. While previous genome-wide association studies (GWAS) have identified over 45 susceptibility risk loci that influence lung cancer development, few GWAS have investigated the etiology of lung cancer in African Americans. To address this gap in knowledge, we conducted GWAS of lung cancer …

Restoring P53 Wild-Type Conformation In Tp53-Y220c-Mutant Acute Myeloid Leukemia, Bing Z Carter, Po Yee Mak, Edward Ayoub, Xiaogang Wu, Baozhen Ke, Yuki Nishida, Andrew Futreal, Lauren B Ostermann, Andrea D Bedoy, Steffen Boettcher, Courtney D Dinardo, Anna Puzio-Kuter, Masha V Poyurovsky, Arnold J Levine, Michael Andreeff

Faculty, Staff and Student Publications

TP53-Y220C is a recurrent hotspot mutation in cancers and leukemias. It is observed predominantly in acute myeloid leukemia (AML)/myelodysplastic syndromes among hematological malignancies and is associated with poor outcome. The mutation creates a structural pocket in the p53 protein. PC14586 (rezatapopt) is a small molecule designed to bind to this pocket and thus restore a p53-wild type (p53-WT) conformation. We demonstrate that PC14586 converts p53-Y220C into a p53-WT conformation and activates p53 transcriptional targets, but surprisingly induces limited/no apoptosis in TP53-Y220C AML. Mechanistically, MDM2 induced by PC14586-activated conformational p53-WT and the nuclear exporter XPO1 reduce the transcriptional activities of p53, …

Genomic Rare Variant Mechanisms For Congenital Cardiac Laterality Defect: A Digenic Model Approach, Archana Rai, Jonathan Klonowski, Bo Yuan, Karen J Coveler, Zain Dardas, Iman Egab, Jiaoyang Xu, Philip J Lupo, A J Agopian, Dennis Kostka, Cecilia W Lo, S Stephen Yi, Bruce D Gelb, Christine E Seidman, Eric Boerwinkle, Jennifer E Posey, Richard A Gibbs, James R Lupski, Shaine A Morris, Zeynep Coban-Akdemir

Faculty, Staff and Students Publications

Laterality defects are defined by perturbations in the usual left-right asymmetry of organs. The genetic etiology that underlies congenital heart disease (CHD) is often unknown (less than 40%), so we used a digenic model approach for the identification of contributing variants in known laterality-defect-associated genes (n = 115) in the exome/genome sequencing (ES/GS) data from individuals with clinically diagnosed laterality defects. The unsolved ES/GS data were analyzed from three CHD cohorts: Baylor College of Medicine-Genomics Research to Elucidate the Genetics of Rare Diseases (BCM-GREGoR; n= 251 proband ES), Gabriella Miller Kids First Pediatric Research Program (Kids First; n = 158 …

Z-Scores Outperform Similar Methods For Analyzing Crispr Paralog Synthetic Lethality Screens, Juihsuan Chou, Nazanin Esmaeili Anvar, Reem Elghaish, Junjie Chen, Traver Hart

Faculty, Staff and Student Publications

Genetic screens offer a promising strategy for identifying tumor-specific therapeutic targets, but single-gene knockout screens often miss functionally redundant paralogs. Multiplex Cas9 and Cas12a CRISPR systems have been deployed to assay genetic interactions, but analysis pipelines vary considerably. Here we evaluate data from four in4mer CRISPR/Cas12a screens in cancer cell lines, using delta log fold change, Z-transformed dLFC, and rescaled dLFC approaches to identify synthetic lethal interactions. Both ZdLFC and RdLFC provide more consistent identification of synthetic lethal pairs across cell lines compared to the unscaled dLFC method, while ZdLFC benefits from not requiring a training set of known interactors.

Structural And Functional Characterization Of Creb-Binding Protein (Crebbp) As A Histone Propionyltransferase, Guiling Cui, Marie Ley, Ariel E Mechaly, Linh-Chi Bui, Christina Michail, Jérémy Berthelet, Julien Dairou, Haopeng Yang, Guillaume Chevreux, Gautier Moroy, Michael R Green, Ahmed Haouz, Fernando Rodrigues Lima

Faculty, Staff and Student Publications

In addition to histone acetylation, histone lysine propionylation (such as the H3K18Pr mark) has recently attracted significant attention as a common and abundant modification linking the cellular metabolic state and gene expression. CREB-binding protein (CREBBP) and EP300 are key histone acetyltransferases that play a critical role in gene expression through their catalytic activity. Although CREBBP and EP300 are homologous enzymes with high structural similarities, they exhibit both redundant and specific functions. Dissecting the shared and divergent properties of CREBBP and EP300 is thus important to understand their roles. However, despite the importance of CREBBP, most mechanistic and structural studies have …

Cat: A Conditional Association Test For Microbiome Data Using A Permutation Approach, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert R Jenq, Christine B Peterson

Faculty, Staff and Student Publications

In microbiome analysis, researchers often seek to identify taxonomic features associated with an outcome of interest. However, microbiome features are intercorrelated and linked by phylogenetic relationships, making it challenging to assess the association between an individual feature and an outcome. This paper proposes a novel conditional association test, CAT, that can account for other features and phylogenetic relatedness when testing the association between a feature and an outcome. CAT adopts a permutation approach, measuring the importance of a feature in predicting the outcome by permuting operational taxonomic unit/amplicon sequence variant counts belonging to that feature from the data and quantifying …

Pol Θ-Mediated End-Joining Uses Microhomologies Containing Mismatches, Yuzhen Li, Ngoc K Dang, Wei He, Mark Returan, Denisse Carvajal-Maldonado, Adele T Guerin, Han Xu, Bin Liu, Richard D Wood

Faculty, Staff and Student Publications

DNA polymerase theta (Pol θ) initiates repair of DNA double-strand breaks by pairing single strands at short "microhomologies". It is important to understand microhomology selection, as some cancer cells rely on Pol θ for survival. Here, we investigate end-joining by purified human Pol θ, employing DNA sequencing of products generated from oligonucleotide libraries having diverse 3' ends. Pol θ overwhelmingly selects short internal microhomologies found within 15 nucleotides of the terminus of single-stranded DNAs, restricting deletion size during end-joining. Significantly, we find that the selected microhomologies are usually interrupted by mismatches and that base pairing within 6 nucleotides of the …

A Hedgehog-Foxf Axis Coordinates Dental Follicle-Derived Alveolar Bone Formation, Mizuki Nagata, Gaurav T Gadhvi, Taishi Komori, Yuki Arai, Chiaki Tsutsumi-Arai, Angel Ka Yan Chu, Seth N Nye, Yuntao Yang, Shion Orikasa, Akira Takahashi, Peter Carlsson, W Jim Zheng, Joshua D Welch, Noriaki Ono, Wanida Ono

Faculty, Staff and Student Publications

The alveolar bone is a specialized mineralized structure supporting the lifelong functionality of the tooth in mastication. The alveolar bone develops from the dental follicle (DF) during tooth root formation due to deliberate epithelial-mesenchymal interactions. However, how DF progenitor cell fates are regulated toward alveolar bone osteoblasts remains unknown. We find that Hedgehog signaling activities are transiently activated during the onset of tooth root formation and alveolar bone formation. Parathyroid hormone-related protein (PTHrP)-expressing DF cells are highly responsive to Hedgehog signaling, yet constitutive Hedgehog activation using Pthrp-creER and Ptch1-floxed alleles potently suppresses alveolar osteoblast and ligament differentiation of PTHrP+ DF …

Differential Efficacy Of Bevacizumab And Erlotinib In Preclinical Models Of Renal Medullary Carcinoma And Fumarate Hydratase-Deficient Renal Cell Carcinoma, Niki M Zacharias, Manuel Ozambela, Menuka Karki, Rong He, Pankaj K Chauhan, Pedro I Pesquera, Andres E Hernandez Gonzalez, Oscar Ochoa, Alberto Pieretti, Huiqin Chen, Carolyn De La Cerda, Zhiyuan Yu, Abha Grover, Samantha Hicks-Peña, Natalie W Fowlkes, Lei Wang, Tapati Maity, Priya Rao, Giannicola Genovese, Nizar M Tannir, Jose A Karam, Pavlos Msaouel

Faculty, Staff and Student Publications

Renal medullary carcinoma (RMC) and fumarate hydratase (FH)-deficient renal cell carcinoma (RCC) are rare and highly aggressive cancers. Although the combination of vascular endothelial growth factor (VEGF) inhibition by bevacizumab and epidermal growth factor receptor (EGFR) inhibition by erlotinib is clinically used for both diseases, the differential effect of each component has not been investigated. Transcriptomic profiling revealed that RMC and FH-deficient tumor tissues demonstrate increased EGFR but not VEGF expression compared with adjacent normal kidney. Subsequent in vitro studies revealed that RMC and FH-deficient cell lines are sensitive to erlotinib treatment, whereas clear cell RCC cell lines are resistant. …

Environmental Exposures Increase Health Risks In Childhood Cancer Survivors, Omar Shakeel, Nicole M Wood, Hannah M Thompson, Michael E Scheurer, Mark D Miller

Faculty, Staff and Students Publications

Childhood cancer survivors (CCSs) are at increased risk for chronic health issues due to late effects of cancer and its treatment. We address the impact of environmental exposures, such as air pollution, tobacco smoke, extreme weather events, and pesticides, on the health and survival of CCSs. These environmental hazards have been associated with worsening health outcomes and decreased survival among CCSs on a global scale. We also highlight that providers at a major pediatric cancer center in the United States have limited knowledge and practical skills about environmental risk factors and how to reduce exposures. Our survey results show that …

Immature Acta2r179c/+ Smooth Muscle Cells Cause Moyamoya-Like Cerebrovascular Lesions In Mice Prevented By Boosting Oxphos, Anita Kaw, Suravi Majumder, Jose E Esparza Pinelo, Ting Wu, Zbigniew Starosolski, Zhen Zhou, Albert J Pedroza, Xueyan Duan, Kaveeta Kaw, Angie D Gonzalez, Ripon Sarkar, Michael P Fischbein, Philip L Lorenzi, Lin Tan, Sara A Martinez, Iqbal Mahmud, Laxman Devkota, L Maximilian Buja, Heinrich Taegtmeyer, Ketan B Ghaghada, Sean P Marrelli, Callie S Kwartler, Dianna M Milewicz

Faculty, Staff and Student Publications

ACTA2 pathogenic variants altering arginine 179 cause childhood-onset strokes due to moyamoya disease (MMD)-like occlusions of the distal internal carotid arteries, but the mechanisms of pathogenesis are unknown and no preventive treatments exist. Here we show that Acta2R179C/+ smooth muscle cells (SMCs) fail to fully differentiate and maintain stem cell-like features, including increased migration and glycolytic flux compared to wildtype (WT) SMCs. Increasing mitochondrial respiration with nicotinamide riboside (NR) drives differentiation and decreases migration of Acta2R179C/+ SMCs. Carotid artery injury of Acta2SMC-R179C/+ mice leads to premature death, intraluminal SMC accumulation leading to MMD-like occlusive lesions, neurologic symptoms, …

Modification Of Epic System’S Simple Visit Coding (Svc) Evaluation Rule To Reduce Medical Claim Denials, Edith Ballard

Translational Projects (Open Access)

Background: The recruitment, development, and retention of skilled medical coding staff has become increasingly challenging for healthcare providers. To alleviate staffing burdens, Epic Systems’ electronic health record (EHR) introduced the Simple Visit Coding (SVC) work queue, designed to evaluate hospital patient encounters and automatically assign International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis codes. However, the current SVC work queue evaluation rule at a prominent academic Oncology Care Organization (OCO) in the South does not utilize autonomous, generative, or computer-assisted coding (CAC) technologies. The work queue evaluation rule uses a simple rule-based program logic that relies on …

Enhancing Coagulase-Negative Staphylococcus Interpretation: Leveraging Data Visualization To Improve Diagnostic Accuracy And Patient Outcomes, Miriam Booker Barrett

Translational Projects (Open Access)

When implemented effectively, data displays can enhance interpretive decisions by helping physicians recognize patterns and relationships within various datasets. Data visualization has been widely studied for its role in converting raw data into actionable insights and supporting data-driven decision-making. However, few studies have been published that specifically explored using data displays to aid in interpreting coagulasenegative Staphylococcus (CoNS) in blood cultures.

One of the primary challenges infectious disease physicians face when interpreting CoNS in blood cultures is the disorganized nature of clinical data within electronic health records. The information necessary for accurate interpretation is often scattered across various sections of …

A Link Prediction Model For Knowledge Graph Completion Of Traditional Chinese Medicine Cases, Qifeng Lou, Dongmei Mu, Shutong Wang, Lili Huang

Journal of Scientific Information Research

[Purpose/significance] To propose a link prediction model for completing the knowledge graph of Chinese medicine cases, aiming to fill in the missing information in the knowledge graph,reveal the potential unknown associations,and promote the construction of a more comprehensive and detailed knowledge graph of Chinese medicine cases.

[Method/process] Medical cases in the field of TCM asthma were collected and integrated to construct a knowledge graph of TCM asthma diagnosis and treatment. By introducing Dropout regularization and Batch Normalization techniques into the RotatE model, an improved ERDBN model is proposed and applied to the task of refining the asthma diagnosis and treatment …

Translating The Hba1c Lab Test Name And Results From English To Arabic For Enhanced Patient Access And Workflow Efficiency, Aiman M. Alrawabdeh

Translational Projects (Open Access)

In Jordan, where the healthcare system primarily operates in English, Arabic-speaking patients encounter significant challenges in understanding laboratory test names and results, including Hemoglobin A1c (HbA1c), an essential diagnostic indicator for diabetes management. The lack of multilingual access to medical information limits health literacy and patient autonomy, increasing dependence on healthcare staff for translation assistance. This translational informatics project addressed these challenges by developing and implementing an Arabic translation process for the HbA1c lab test name and results. HbA1c was selected as it is a standard lab test among patients with diabetes in Jordan; nearly 30% of Jordanians had type …

Evaluating Large Language Model Performance To Support The Diagnosis And Management Of Patients With Primary Immune Disorders, Nicholas L Rider, Yingya Li, Aaron T Chin, Daniel V Digiacomo, Cullen Dutmer, Jocelyn R Farmer, Kirk Roberts, Guergana Savova, Mei-Sing Ong

Faculty, Staff and Student Publications

Background: Generative artificial intelligence (GAI) is transforming health care in a variety of ways; however, the present utility of GAI for supporting clinicians who treat rare disease such as primary immune disorders (PIs) is not well studied. We evaluated the ability of 6 state-of-the-art large language models (LLMs) for providing clinical guidance about PIs.

Objective: To quantitatively and qualitatively measure the utility of current, open-source LLMs for diagnosing and providing helpful clinical decision support about PIs.

Methods: Five expert clinical immunologists each provided 5 real-world, anonymized PI case vignettes via multi-turn prompting to 6 LLMs (OpenAI GPT-4o, Llama-3.1-8B-Instruct, Llama-3.1-70B-Instruct, Mistral-7B-Instruct-v0.3, …

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …

First-In-Human Phase 1 Study Of Khk2455 Monotherapy And In Combination With Mogamulizumab In Patients With Advanced Solid Tumors, Timothy A Yap, Olivier Rixe, Capucine Baldini, Ursa Brown-Glaberman, Sergey Efuni, David S Hong, Christophe Massard, Jameel Muzaffar, Andreea Varga, Emrullah Yilmaz, Yuta Ikawa, Lisa H Shiue, Yi Liu, Matthew W Hruska, Henry Zhao, Akihiro Tokunaga, Solmaz Sahebjam

Faculty, Staff and Student Publications

Background: Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme that degrades tryptophan (Trp) to kynurenine (Kyn), which suppresses effector T cells and reduces antitumor activity. KHK2455 is a long-acting selective IDO1 inhibitor that blocks the heme component of the IDO holoenzyme. Mogamulizumab is a humanized immunoglobulin G1 monoclonal antibody targeting CCR4. KHK2455 + mogamulizumab demonstrated enhanced antitumor activity in preclinical studies, which led to a first-in-human, two-part, multicenter, open-label, phase 1, dose-escalation, cohort-expansion trial (ClinicalTrials.gov identifier NCT02867007) evaluating the safety/tolerability, pharmacokinetics, and IDO1 activity of KHK2455 alone and in combination with mogamulizumab in patients with treatment-refractory advanced solid tumors. …

Renal G Protein-Coupled Estrogen Receptor 1 Regulates The Epithelial Sodium Channel Promoting Natriuresis To A Greater Extent In Females, Victoria L Nasci, Jean C Bopassa, Elena Mironova, Megan Rhoads, Ravneet Singh, Dennis P Buehler, David M Pollock, Oleh M Pochynyuk, James D Stockand, Eman Y Gohar

Faculty, Staff and Student Publications

Hypertension prevalence is lower in women than men. Enhanced renal sodium (Na+) handling in females has been implicated in sex-differences in hypertension. Epithelial Na+ channel (ENaC) is a key contributor to Na+ homeostasis and is regulated by estrogen. Recent evidence suggests G protein-coupled estrogen receptor 1 (GPER1) evokes a female-specific natriuresis that involves endothelin-1 (ET-1). ET-1 has been shown to downregulate ENaC activity, but whether GPER1 regulates ENaC to modulate natriuresis is unknown. We tested the hypothesis that renal GPER1 functionally interacts with ENaC to promote natriuresis in a sex-specific manner. RNAscope confirmed co-expression of GPER1 and ENaC in rat …

Restoring Calibration For Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach, Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J Su, Li Shen

Faculty, Staff and Student Publications

One of the key technologies for the success of Large Language Models (LLMs) is preference alignment. However, a notable side effect of preference alignment is poor calibration: while the pre-trained models are typically well-calibrated, LLMs tend to become poorly calibrated after alignment with human preferences. In this paper, we investigate why preference alignment affects calibration and how to address this issue. For the first question, we observe that the preference collapse issue in alignment undesirably generalizes to the calibration scenario, causing LLMs to exhibit overconfidence and poor calibration. To address this, we demonstrate the importance of fine-tuning with domain-specific knowledge …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

I2moe: Interpretable Multimodal Interaction-Aware Mixture-Of-Experts, Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L Ballard, Tianlong Chen, Qi Long

Faculty, Staff and Student Publications

Modality fusion is a cornerstone of multimodal learning, enabling information integration from diverse data sources. However, vanilla fusion methods are limited by

It Is Time We Include Leadership Education And Experiences In Mfm Training And Lifelong Learning, Cheryl A Moyer, Timothy R B Johnson

Faculty, Staff and Student Publications

No abstract provided.

Federated Target Trial Emulation Using Distributed Observational Data For Treatment Effect Estimation, Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang

Faculty, Staff and Student Publications

Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. Applying TTE across distributed datasets shows great promise in improving generalizability and power but is always infeasible due to privacy and data-sharing constraints. Here we propose a Federated Learning-based TTE framework, FL-TTE, that enables TTE across multiple sites without sharing patient-level data. FL-TTE incorporates federated protocol design, federated inverse probability of treatment weighting, and a federated Cox proportional hazards model to estimate time-to-event outcomes across heterogeneous data. We validated FL-TTE by emulating Sepsis trials using eICU and MIMIC-IV data from 192 hospitals, …

Dynamic Few-Shot Prompting For Clinical Note Section Classification Using Lightweight, Open-Source Large Language Models, Kurt Miller, Steven Bedrick, Qiuhao Lu, Andrew Wen, William Hersh, Kirk Roberts, Hongfang Liu

Faculty, Staff and Student Publications

Objective: Unlocking clinical information embedded in clinical notes has been hindered to a significant degree by domain-specific and context-sensitive language. Identification of note sections and structural document elements has been shown to improve information extraction and dependent downstream clinical natural language processing (NLP) tasks and applications. This study investigates the viability of a dynamic example selection prompting method to section classification using lightweight, open-source large language models (LLMs) as a practical solution for real-world healthcare clinical NLP systems.

Materials and methods: We develop a dynamic few-shot prompting approach to classifying sections where section samples are first embedded using a transformer-based …

A Recipe For Disaster - Sodium Bicarbonate Overdose, Adeola A Kosoko, Amara Ogoke, Kyle Vogt

Faculty, Staff and Student Publications

Audience: Emergency medicine residents post-graduate years 1-4.

Introduction: Sodium bicarbonate is a compound found commonplace in many households and in many products. It lends itself to countless everyday uses including cooking and cleaning. Physicians prescribe sodium bicarbonate regularly both on- and off-label regularly for various ailments.1 Due to the ubiquitous way both emergency physicians and the general public use and are exposed to sodium bicarbonate, we wanted to prepare learners to identify and appropriately manage sodium bicarbonate toxicity.Obtaining a thorough history not just of medications prescribed but of significant ingestions or infusions is critical in diagnosing this toxicity. Furthermore, acute …

Non-Invasive Tools For Analysis Of Plasma Membrane Protein Topology In Living Cells, Daria Savenkova, Leysan Bulatova, Vera Skripova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Membrane protein topology studies offer guidance to membrane protein structure, folding, and function, serving as a credible scaffold for designing site-directed mutagenesis and biochemical experiments, helping to identify functionally significant extracellular and intracellular regions, modeling three-dimensional structures, and building reliable mechanistic models. Membrane protein structure as a function of given lipid composition and physiological state of the cell is best probed in whole intact cells. A described simple and advanced immunofluorescence protocol applied to the transmembrane orientation of extramembrane domains permits a topology analysis of plasma membrane proteins in their native state in living unperturbed eucaryotic cells. The accessibility of …

Long Akap18 Isoforms Anchor Ubiquitin Specific Proteinases And Coordinate Calcium Reuptake At The Sarcoplasmic Reticulum, Taeyeop Park, Katherine Forbush, Yong Li, Oscar Vivas, Kacey J Rosenthal, Jerome Falcone, Cassandra J Wong, James E Bruce, Claudia Moreno, Carmen W Dessauer, John D Scott

Faculty, Staff and Student Publications

Subcellular targeting of signaling enzymes influences where and when various modes of intracellular communication operate. Macromolecular complexes of signal transduction and signal termination elements favor reversible control of repetitive processes. This includes adrenergic stimulation of excitation–contraction coupling in the heart. Long isoforms of A-kinase anchoring protein 18 (AKAP18γ and δ) modulate this process via regulation of calcium uptake into the sarcoplasmic reticulum through the Ca2+ATPase 2a (SERCA2a). AKAP18 proximity-proteomic screening in cardiomyocytes identifies networks for protein kinase A (PKA) and ubiquitin-specific proteinases (USPs). A 2′phosphoesterase domain on AKAP18 interfaces with the USP4 isoform at the Z bands of sarcomeres. PKA …

Bridging Cell Morphological Behaviors And Molecular Dynamics In Multi-Modal Spatial Omics With Morphlink, Jing Huang, Chenyang Yuan, Jiahui Jiang, Jianfeng Chen, Sunil S Badve, Yesim Gokmen-Polar, Rossana L Segura, Xinmiao Yan, Alexander Lazar, Jianjun Gao, Bing Yao, Michael Epstein, Linghua Wang, Jian Hu

Faculty, Staff and Student Publications

Multi-modal spatial omics data are invaluable for exploring complex cellular behaviors in diseases from both morphological and molecular perspectives. Current analytical methods primarily focus on clustering and classification, and do not adequately examine the relationship between cell morphology and molecular dynamics. Here, we present MorphLink, a framework designed to systematically identify disease-related morphological-molecular interplays. MorphLink has been evaluated across a wide array of datasets, showcasing its effectiveness in extracting and linking interpretable morphological features with various molecular measurements in spatial omics analyses. These linkages provide a transparent view of cellular behavior heterogeneity within tissue regions with similar cell type compositions, …

Utility Of The Us Preventive Services Task Force For Preeclampsia Risk Assessment And Aspirin Prophylaxis, Thomas F Mcelrath, Arun Jeyabalan, Arkady Khodursky, Alison B Moe, Manfred Lee, Maneesh Jain, Laura Goetzl, Elizabeth F Sutton, Pamela M Simmons, George R Saade, Antonio Saad, Luis D Pacheco, Esther Park-Hwang, Antonina I Frolova, Ebony B Carter, Ai-Ris Y Collier, Daniel G Kiefer, Vincenzo Berghella, Rupsa C Boelig, Michal A Elovitz, Cynthia Gyamfi-Bannerman, Joseph R Biggio, Kara Rood, William A Grobman, Carrie Haverty, Morten Rasmussen

Faculty, Staff and Student Publications

Importance: The US Preventive Services Task Force (USPSTF) guidelines on preeclampsia risk assessment and aspirin prophylaxis (AP) have not been evaluated for clinical utility.

Objective: To evaluate which characteristics in the USPSTF guidelines identify risk status and the association of preeclampsia risk with AP recommendations.

Design, setting, and participants: This observational cohort study enrolled from July 2020 to March 2023 with data analysis performed from October to December 2024. Enrollment occurred at 11 centers throughout the US or via direct-to-participant recruitment. Pregnant participants aged 18 years or older with a singleton pregnancy less than 22 weeks' gestation were selected via …