Medicine and Health Sciences Commons^™

A Mechanistic Lnk Between Inflammation And Atrial Fibrillation?, Joshua A Keefe, Shuai Zhao, Xander H T Wehrens

Faculty, Staff and Students Publications

No abstract provided.

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository With Genomic And Pathologic Annotations Enables Deep Learning Analysis, Brian S White, Xing Yi Woo, Soner Koc, Todd Sheridan, Steven B Neuhauser, Shidan Wang, Yvonne A Evrard, Li Chen, Ali Foroughi Pour, John D Landua, R Jay Mashl, Sherri R Davies, Bingliang Fang, Maria Gabriela Raso, Kurt W Evans, Matthew H Bailey, Yeqing Chen, Min Xiao, Jill C Rubinstein, Brian J Sanderson, Michael W Lloyd, Sergii Domanskyi, Lacey E Dobrolecki, Maihi Fujita, Junya Fujimoto, Guanghua Xiao, Ryan C Fields, Jacqueline L Mudd, Xiaowei Xu, Melinda G Hollingshead, Shahanawaz Jiwani, Saul Acevedo, Pdxnet Consortium, Brandi N Davis-Dusenbery, Peter N Robinson, Jeffrey A Moscow, James H Doroshow, Nicholas Mitsiades, Salma Kaochar, Chong-Xian Pan, Luis G Carvajal-Carmona, Alana L Welm, Bryan E Welm, Ramaswamy Govindan, Shunqiang Li, Michael A Davies, Jack A Roth, Funda Meric-Bernstam, Yang Xie, Meenhard Herlyn, Li Ding, Michael T Lewis, Carol J Bult, Dennis A Dean, Jeffrey H Chuang

Faculty, Staff and Students Publications

Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of the intact tissue of immunocompromised mice. Histologic imaging via hematoxylin and eosin (H&E) staining is routinely performed on PDX samples, which could be harnessed for computational analysis. Prior studies of large clinical H&E image repositories have shown that deep learning analysis can identify intercellular and morphologic signals correlated with disease phenotype and therapeutic response. In this study, we developed an extensive, pan-cancer repository of >1,000 PDX and paired parental tumor H&E images. These images, curated from the PDX Development and Trial Centers Research Network Consortium, had a …

Addressing Disparities In Pediatric Congenital Heart Disease: A Call For Equitable Health Care, Devyani Chowdhury, Pietro A Elliott, S Yukiko Asaki, Shahnawaz Amdani, Quang-Tuyen Nguyen, Christina Ronai, Seda Tierney, Victor Y Levy, Kriti Puri, Carolyn A Altman, Jonathan N Johnson, Julie S Glickstein

Faculty, Staff and Students Publications

While significant progress has been made in reducing disparities within the US health care system, notable gaps remain. This article explores existing disparities within pediatric congenital heart disease care. Congenital heart disease, the most common birth defect and a leading cause of infant death, has garnered substantial attention, revealing certain disparities within the US health care system. Factors such as race, ethnicity, insurance coverage, socioeconomic status, and geographic location are all commonalities that significantly affect health disparities in pediatric congenital heart disease. This comprehensive review sheds light on disparities from diverse perspectives in pediatric care, demonstrates the inequities and inequalities …

Individual And Joint Associations Of High-Sensitivity Troponin I And High-Sensitivity Troponin T With Cardiac Phenotypes And Outcomes In The General Population: An Analysis From The Dallas Heart Study, Rebecca Vigen, Colby Ayers, Jarett Berry, Anand Rohatgi, Vijay Nambi, Christie M Ballantyne, Torbjorn Omland, Christopher R De Filippi, James De Lemos

Faculty, Staff and Students Publications

Background: High-sensitivity troponin I (hs-cTnI) and T (hs-cTnT) provide complementary information regarding cardiovascular disease risk. The explanation for their distinct risk profiles is incompletely understood.

Methods and results: hs-cTnI and hs-cTnT were measured in Dallas Heart Study participants. Associations of hs-cTnI and hs-cTnT with demographics and phenotypes were assessed using linear regression. Associations with incident heart failure, atherosclerotic cardiovascular disease, global cardiovascular disease, and cardiovascular and all-cause mortality were assessed using Cox models. Among 3276 participants (56% women, 50% Black persons, median age 43 years), the correlation between hs-cTnI and hs-cTnT was modest (Spearman rho=0.35). Variables associated with hs-cTnI but …

Assessment Of Patient-Derived Xenograft Growth And Antitumor Activity: The Nci Pdxnet Consensus Recommendations, Funda Meric-Bernstam, Michael W Lloyd, Soner Koc, Yvonne A Evrard, Lisa M Mcshane, Michael T Lewis, Kurt W Evans, Dali Li, Lawrence Rubinstein, Alana Welm, Dennis A Dean, Anuj Srivastava, Jeffrey W Grover, Min J Ha, Huiqin Chen, Xuelin Huang, Kaushik Varadarajan, Jing Wang, Jack A Roth, Bryan Welm, Ramaswamy Govinden, Li Ding, Salma Kaochar, Nicholas Mitsiades, Luis Carvajal-Carmona, Meenhard Herylyn, Michael A Davies, Geoffrey I Shapiro, Ryan Fields, Jose G Trevino, Joshua C Harrell, Nci Pdxnet Consortium, James H Doroshow, Jeffrey H Chuang, Jeffrey A Moscow

Faculty, Staff and Student Publications

Although patient-derived xenografts (PDX) are commonly used for preclinical modeling in cancer research, a standard approach to in vivo tumor growth analysis and assessment of antitumor activity is lacking, complicating the comparison of different studies and determination of whether a PDX experiment has produced evidence needed to consider a new therapy promising. We present consensus recommendations for assessment of PDX growth and antitumor activity, providing public access to a suite of tools for in vivo growth analyses. We expect that harmonizing PDX study design and analysis and assessing a suite of analytical tools will enhance information exchange and facilitate identification …

Vaccine-Sensitive Allocation - Another Divide To Divide Us?, Joelle Robertson-Preidler, Olivia Schuman

Faculty and Staff Publications

No abstract provided.

Call Me Dr Ishmael: Trends In Electronic Health Record Notes Available At Emergency Department Visits And Admissions, Brian W Patterson, Daniel J Hekman, Frank J Liao, Azita G Hamedani, Manish N Shah, Majid Afshar

Faculty, Staff and Student Publications

OBJECTIVES: Numerous studies have identified information overload as a key issue for electronic health records (EHRs). This study describes the amount of text data across all notes available to emergency physicians in the EHR, trended over the time since EHR establishment.

MATERIALS AND METHODS: We conducted a retrospective analysis of EHR data from a large healthcare system, examining the number of notes and a corresponding number of total words and total tokens across all notes available to physicians during patient encounters in the emergency department (ED). We assessed the change in these metrics over a 17-year period between 2006 and …

Multicountry Spread Of Influenza A(H1n1)Pdm09 Viruses With Reduced Oseltamivir Inhibition, May 2023-February 2024, Mira C Patel, Ha T Nguyen, Philippe Noriel Q Pascua, Rongyuan Gao, John Steel, Rebecca J Kondor, Larisa V Gubareva

Faculty, Staff and Student Publications

Since May 2023, a novel combination of neuraminidase mutations, I223V + S247N, has been detected in influenza A(H1N1)pdm09 viruses collected in countries spanning 5 continents, mostly in Europe (67/101). The viruses belong to 2 phylogenetically distinct groups and display ≈13-fold reduced inhibition by oseltamivir while retaining normal susceptibility to other antiviral drugs.

Multi-Omic Single-Cell Integration For Understanding T Cell Responses In Acute Myeloid Leukemia, Poonam Desai

Dissertations and Theses (Open Access)

In recent years, translational initiatives have gained significant traction within the medical community. Clinical parameters alone have been insufficient to fully understand the intricate mechanisms governing patient responses to disease and therapy. Additionally, single-cell technologies have rapidly advanced to a point where generation of large patient-based datasets is financially and logistically feasible. The integration of clinical information with multi-omic single-cell technologies enables the formation of data-driven hypotheses pertaining to the mechanisms of disease progression and therapeutic resistance. Acute Myeloid Leukemia (AML) is a rapidly-progressing cancer of the bone marrow with poor prognoses and dismal outcomes. Of the adult patients that …

Designing Recommendation Systems For Identification And Reduction Of Unnecessary Blood Tests, Tongtong Huang

Dissertations and Theses (Open Access)

Blood testing is an indispensable tool to check the patient's health status. However, the overutilization of lab tests in healthcare settings is a prevalent issue that can lead to redundant information, increased patient risk, and financial strain on healthcare resources. This dissertation presents novel approaches to optimizing lab test utilization by applying deep learning models. The primary objective is to develop and validate methods that accurately predict and reduce unnecessary blood tests.

The study introduces a “selective” mechanism that quantifies the predictability of future lab tests, allowing for the selective reduction of unnecessary tests in the context of specific clinical …

Provider Experiences With Daily Use Of Elastomeric Half-Mask Respirators In Health Care, Morgan Lane, Lisa Pompeii, Janelle Rios, Elisa Benavides, Marie Kasbaum, Scott Patlovich, Luis Ostrosky-Zeichner, Adam Hornbeck, Caitlin Mcclain, Rohan Fernando, Margaret Sietsema, Colleen Kraft

Faculty, Staff and Student Publications

Background: During public health emergencies, demand for N95 filtering facepiece respirators (N95 FFRs) can outpace supply. Elastomeric half-mask respirators (EHMRs) are a potential alternative that are reusable and provide the same or higher levels of protection. This study sought to examine the practical aspects of EHMR use among health care personnel (HCP).

Methods: Between September and December 2021, 183 HCPs at 2 tertiary referral centers participated in this 3-month EHMR deployment, wearing the EHMR whenever respiratory protection was required according to hospital protocols (ie, when an N95 FFR would typically be worn) and responding to surveys about their experience.

Results: …

Health Care Workers’ Comfort Ratings For Elastomeric Half-Mask Respirators Versus N95® Filtering Facepiece Respirators During The Covid-19 Pandemic, Lisa Pompeii, Janelle Rios, Colleen S Kraft, Marie Kasbaum, Elisa Benavides, Scott J Patlovich, Luis Ostrosky-Zeichner, Adam Hornbeck, Caitlin Mcclain, Rohan D Fernando, Margaret Sietsema, Morgan Lane

Faculty, Staff and Student Publications

BACKGROUND: Reusable elastomeric half-mask respirators (EHMR) are an alternative to address shortages of disposable respirators. While respirator discomfort has been noted as a barrier to adherence to wearing an N95 filtering facepiece respirator (FFR) among health care personnel (HCP), few have examined EHMR comfort while providing patient care, which was the purpose of this study.

METHOD: Among a cohort of 183 HCP, we prospectively examined how HCP rated EHMR tolerability using the Respirator Comfort, Wearing Experience, and Function Instrument (R-COMFI) questionnaire at Study Week 2 and Week 10. At the completion of the study (Week-12), HCP compared EHMR comfort with …

Efficacy Of Tezepelumab In Patients With Severe, Uncontrolled Asthma Across Multiple Clinically Relevant Subgroups In The Navigator Study, Tara F Carr, Wendy C Moore, Monica Kraft, Guy Brusselle, Mario Castro, Geoffrey L Chupp, Michael E Wechsler, Gillian Hunter, Andrew W Lindsley, Jean-Pierre Llanos, Luke K Burke, Shradha Chandarana, Christopher S Ambrose

Faculty, Staff and Student Publications

INTRODUCTION: Many patients with severe asthma continue to experience symptoms and exacerbations despite treatment with standard-of-care therapy. In the phase 3 NAVIGATOR study, tezepelumab significantly reduced exacerbations over 52 weeks compared with placebo in patients with severe, uncontrolled asthma. This analysis assessed the efficacy of tezepelumab in reducing asthma exacerbations in various clinically relevant subgroups of patients in NAVIGATOR.

METHODS: NAVIGATOR was a phase 3, multicentre, randomized, double-blind, placebo-controlled study. Participants (12-80 years old) with severe, uncontrolled asthma were randomized 1:1 to receive tezepelumab 210 mg or placebo subcutaneously every 4 weeks for 52 weeks. Pre-specified and post hoc analyses …

Improving Distributed Health Information Technology Integration Through Enriched Context In Sociotechnical System Components, Jeritt Thayer

Dissertations and Theses (Open Access)

The design and architecture of health information technology (HIT) are in the process of a transformative shift. Monolithic code bases, which are several systems intertwined into a single program, are being split into multiple distributed programs that communicate across information networks. Thus far, only sparse knowledge exists about the challenges of distributed HIT, and the interaction of these architectures with other factors of the sociotechnical system, such as clinical content, is not well understood. Existing sociotechnical models describe the components within a healthcare system and the connections between components, but the types of relationships between each component are underspecified. Within …

Discret: Synthesizing Faithful Explanations For Treatment Effect Estimation, Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong

Faculty, Staff and Student Publications

Designing faithful yet accurate AI models is challenging, particularly in the field of individual treatment effect estimation (ITE). ITE prediction models deployed in critical settings such as healthcare should ideally be (i) accurate, and (ii) provide faithful explanations. However, current solutions are inadequate: state-of-the-art black-box models do not supply explanations, post-hoc explainers for black-box models lack faithfulness guarantees, and self-interpretable models greatly compromise accuracy. To address these issues, we propose DISCRET, a self-interpretable ITE framework that synthesizes faithful, rule-based explanations for each sample. A key insight behind DISCRET is that explanations can serve dually as database queries to identify similar …

Fedgmmat: Federated Generalized Linear Mixed Model Association Tests, Wentao Li, Han Chen, Xiaoqian Jiang, Arif Harmanci

Faculty, Staff and Student Publications

Increasing genetic and phenotypic data size is critical for understanding the genetic determinants of diseases. Evidently, establishing practical means for collaboration and data sharing among institutions is a fundamental methodological barrier for performing high-powered studies. As the sample sizes become more heterogeneous, complex statistical approaches, such as generalized linear mixed effects models, must be used to correct for the confounders that may bias results. On another front, due to the privacy concerns around Protected Health Information (PHI), genetic information is restrictively protected by sharing according to regulations such as Health Insurance Portability and Accountability Act (HIPAA). This limits data sharing …

Ultrapotent Broadly Neutralizing Human-Llama Bispecific Antibodies Against Hiv-1, Jianliang Xu, Tongqing Zhou, Krisha Mckee, Baoshan Zhang, Cuiping Liu, Alexandra F Nazzari, Amarendra Pegu, Chen-Hsiang Shen, Jordan E Becker, Michael F Bender, Payton Chan, Anita Changela, Ridhi Chaudhary, Xuejun Chen, Tal Einav, Young Do Kwon, Bob C Lin, Mark K Louder, Jonah S Merriam, Nicholas C Morano, Sijy O'Dell, Adam S Olia, Reda Rawi, Ryan S Roark, Tyler Stephens, I-Ting Teng, Emily Tourtellott-Fogt, Shuishu Wang, Eun Sung Yang, Lawrence Shapiro, Yaroslav Tsybovsky, Nicole A Doria-Rose, Rafael Casellas, Peter D Kwong

Faculty, Staff and Student Publications

Broadly neutralizing antibodies are proposed as therapeutic and prophylactic agents against HIV‐1, but their potency and breadth are less than optimal. This study describes the immunization of a llama with the prefusion‐stabilized HIV‐1 envelope (Env) trimer, BG505 DS‐SOSIP, and the identification and improvement of potent neutralizing nanobodies recognizing the CD4‐binding site (CD4bs) of vulnerability. Two of the vaccine‐elicited CD4bs‐targeting nanobodies, G36 and R27, when engineered into a triple tandem format with llama IgG2a‐hinge region and human IgG1‐constant region (G36×3‐IgG2a and R27×3‐IgG2a), neutralized 96% of a multiclade 208‐strain panel at geometric mean IC80s of 0.314 and 0.033 µg mL−1, respectively. Cryo‐EM …

Effect Of Medicaid Expansion On Cancer Treatment And Survival Among Medicaid Beneficiaries And The Uninsured, Kristin M Primm, Hui Zhao, Naomi N Adjei, Charlotte C Sun, Alen Haas, Larissa A Meyer, Shine Chang

Faculty, Staff and Student Publications

BACKGROUND: The Affordable Care Act expanded Medicaid coverage for people with low income in the United States. Expanded insurance coverage could promote more timely access to cancer treatment, which could improve overall survival (OS), yet the long-term effects of Medicaid expansion (ME) remain unknown. We evaluated whether ME was associated with improved timely treatment initiation (TTI) and 3-year OS among patients with breast, cervical, colon, and lung cancers who were affected by the policy.

METHODS: Medicaid-insured or uninsured patients aged 40-64 with stage I-III breast, cervical, colon, or non-small cell lung cancer within the National Cancer Database (NCDB). A difference-in-differences …

Identification Of Immune-Associated Biomarkers Of Diabetes Nephropathy Tubulointerstitial Injury Based On Machine Learning: A Bioinformatics Multi-Chip Integrated Analysis, Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu, Weijing Liu

Faculty, Staff and Student Publications

BACKGROUND: Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-stage renal disease progression due to the inability to diagnose the disease early. Therefore, reliable biomarkers that are helpful for early diagnosis and treatment are identified. The migration of immune cells to the kidney is considered to be a key step in the progression of DN-related vascular injury. Therefore, finding markers in this process may be more helpful for the early diagnosis and progression prediction of DN.

METHODS: The …

A Deep Catalogue Of Protein-Coding Variation In 983,578 Individuals, Kathie Y Sun, Xiaodong Bai, Siying Chen, Suying Bao, Chuanyi Zhang, Manav Kapoor, Joshua Backman, Tyler Joseph, Evan Maxwell, George Mitra, Alexander Gorovits, Adam Mansfield, Boris Boutkov, Sujit Gokhale, Lukas Habegger, Anthony Marcketta, Adam E Locke, Liron Ganel, Alicia Hawes, Michael D Kessler, Deepika Sharma, Jeffrey Staples, Jonas Bovijn, Sahar Gelfman, Alessandro Di Gioia, Veera M Rajagopal, Alexander Lopez, Jennifer Rico Varela, Jesús Alegre-Díaz, Jaime Berumen, Roberto Tapia-Conyer, Pablo Kuri-Morales, Jason Torres, Jonathan Emberson, Rory Collins, Regeneron Genetics Center, Rgc-Me Cohort Partners; Michael Cantor, Michael Cantor, Timothy Thornton, Hyun Min Kang, John D Overton, Alan R Shuldiner, M Laura Cremona, Mona Nafde, Aris Baras, Gonçalo Abecasis, Jonathan Marchini, Jeffrey G Reid, William Salerno, Suganthi Balasubramanian

Faculty, Staff and Student Publications

Rare coding variants that substantially affect function provide insights into the biology of a gene1-3. However, ascertaining the frequency of such variants requires large sample sizes4-8. Here we present a catalogue of human protein-coding variation, derived from exome sequencing of 983,578 individuals across diverse populations. In total, 23% of the Regeneron Genetics Center Million Exome (RGC-ME) data come from individuals of African, East Asian, Indigenous American, Middle Eastern and South Asian ancestry. The catalogue includes more than 10.4 million missense and 1.1 million predicted loss-of-function (pLOF) variants. We identify individuals with rare biallelic pLOF variants in 4,848 genes, 1,751 of …

Targeting Of Cyp2e1 By Mirnas In Alcohol-Induced Intestine Injury, Hyejin Mun, Sungyul Lee, Suyoung Choi, Ji-Hoon Jeong, Seungbeom Ko, Yoo Lim Chun, Benjamin Deaton, Clay T Yeager, Audrey Boyette, Juliana Palmera, London Newman, Ping Zhou, Soona Shin, Dong-Chan Kim, Cari A Sagum, Mark T Bedford, Young-Kook Kim, Jaeyul Kwon, Junyang Jung, Jeong Ho Chang, Je-Hyun Yoon

Faculty, Staff and Student Publications

Although binge alcohol-induced gut leakage has been studied extensively in the context of reactive oxygen species-mediated signaling, it was recently revealed that post-transcriptional regulation plays an essential role as well. Ethanol (EtOH)-inducible cytochrome P450-2E1 (CYP2E1), a key enzyme in EtOH metabolism, promotes alcohol-induced hepatic steatosis and inflammatory liver disease, at least in part by mediating changes in intestinal permeability. For instance, gut leakage and elevated intestinal permeability to endotoxins have been shown to be regulated by enhancing CYP2E1 mRNA and CYP2E1 protein levels. Although it is understood that EtOH promotes CYP2E1 induction and activation, the mechanisms that regulate CYP2E1 expression …

Ghcu, A Molecular Chaperone, Regulates Leaf Curling By Modulating The Distribution Of Kngh1 In Cotton, Yihao Zang, Chenyu Xu, Lishan Yu, Longen Ma, Lisha Xuan, Sunyi Yan, Yayao Zhang, Yiwen Cao, Xiaoran Li, Zhanfeng Si, Jieqiong Deng, Tianzhen Zhang, Yan Hu

Faculty, Staff and Student Publications

Leaf shape is considered to be one of the most significant agronomic traits in crop breeding. However, the molecular basis underlying leaf morphogenesis in cotton is still largely unknown. In this study, through genetic mapping and molecular investigation using a natural cotton mutant cu with leaves curling upward, the causal gene GHCU is successfully identified as the key regulator of leaf flattening. Knockout of GHCU or its homolog in cotton and tobacco using CRISPR results in abnormal leaf shape. It is further discovered that GHCU facilitates the transport of the HD protein KNOTTED1-like (KNGH1) from the adaxial to the abaxial …

Genetic Analysis Of Seven Patients With Inherited Ichthyosis And Nagashima-Type Palmoplantar Keratoderma, Jing Zhang, Yue Yao, Ya Tan, Hua-Ying Hu, Lin-Xi Zeng, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Inherited ichthyosis comprises a series of heterogeneous dermal conditions; it mainly manifests as widespread hyperkeratosis, xerosis and scaling of the skin. At times, overlapping symptoms require differential diagnosis between ichthyosis and several other similar disorders. The present study reports seven patients with confirmed or suspected to be associated with ichthyosis by conducting a thorough clinical and genetic investigation. Genetic testing was conducted using whole-exome sequencing, with Sanger sequencing as the validation method. The MEGA7 program was used to analyze the conservation of amino acid residues affected by the detected missense variants. The enrolled patients exhibited ichthyosis-like but distinct clinical manifestations. …

Change In Trust In Us Government Health Agencies For Cancer Information In The Covid-19 Era, Onyema G Chido-Amajuoyi, Rajesh Talluri, Henry K Onyeaka, Itunu Sokale, Gideon T Dosunmu, Noelle Loconte, Sanjay Shete

Faculty, Staff and Student Publications

This cross-sectional study assesses changes in levels of public trust in US government health agencies providing cancer information.

Machine Learning Identifies Prognostic Subtypes Of The Tumor Microenvironment Of Nsclc, Duo Yu, Michael J Kane, Eugene J Koay, Ignacio I Wistuba, Brian P Hobbs

Faculty, Staff and Student Publications

The tumor microenvironment (TME) plays a fundamental role in tumorigenesis, tumor progression, and anti-cancer immunity potential of emerging cancer therapeutics. Understanding inter-patient TME heterogeneity, however, remains a challenge to efficient drug development. This article applies recent advances in machine learning (ML) for survival analysis to a retrospective study of NSCLC patients who received definitive surgical resection and immune pathology following surgery. ML methods are compared for their effectiveness in identifying prognostic subtypes. Six survival models, including Cox regression and five survival machine learning methods, were calibrated and applied to predict survival for NSCLC patients based on PD-L1 expression, CD3 expression, …

Mutation Order In Acute Myeloid Leukemia Identifies Uncommon Patterns Of Evolution And Illuminates Phenotypic Heterogeneity, Matthew Schwede, Katharina Jahn, Jack Kuipers, Linde A Miles, Robert L Bowman, Troy Robinson, Ken Furudate, Hidetaka Uryu, Tomoyuki Tanaka, Yuya Sasaki, Asiri Ediriwickrema, Brooks Benard, Andrew J Gentles, Ross Levine, Niko Beerenwinkel, Koichi Takahashi, Ravindra Majeti

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) has a poor prognosis and a heterogeneous mutation landscape. Although common mutations are well-studied, little research has characterized how the sequence of mutations relates to clinical features. Using published, single-cell DNA sequencing data from three institutions, we compared clonal evolution patterns in AML to patient characteristics, disease phenotype, and outcomes. Mutation trees, which represent the order of select mutations, were created for 207 patients from targeted panel sequencing data using 1 639 162 cells, 823 mutations, and 275 samples. In 224 distinct orderings of mutated genes, mutations related to DNA methylation typically preceded those related to …

Fc Engineering By Monoclonal Mammalian Cell Display For Improved Affinity And Selectivity Towards Fcγrs, Zening Wang, Minhyo Kang, Afshin Ebrahimpour, Chuan Chen, Xin Ge

Faculty, Staff and Student Publications

Fc optimization can significantly enhance therapeutic efficacy of monoclonal antibodies. However, existing Fc engineering approaches are sub-optimal with noted limitations, such as inappropriate glycosylation, polyclonal libraries, and utilizing fragment but not full-length IgG display. Applying cell cycle arrested recombinase-mediated cassette exchange, this study constructed high-quality monoclonal Fc libraries in CHO cells, displayed full-length IgG on cell surface, and preformed ratiometric fluorescence activated cell sorting (FACS) with the antigen and individual FcγRs. Identified Fc variants were quantitatively evaluated by flow cytometry, ELISA, kinetic and steady-state binding affinity measurements, and cytotoxicity assays. An error-prone Fc library focusing on the hinge-CH2 region was …

Comparative Analysis Of Atherogenic Lipoproteins L5 And Lp(A) In Atherosclerotic Cardiovascular Disease, Omer Akyol, Chao-Yuh Yang, Darren G Woodside, Huan-Hsing Chiang, Chu-Huang Chen, Antonio M Gotto

Faculty, Staff and Students Publications

Purpose of review: Low-density lipoprotein (LDL) poses a risk for atherosclerotic cardiovascular disease (ASCVD). As LDL comprises various subtypes differing in charge, density, and size, understanding their specific impact on ASCVD is crucial. Two highly atherogenic LDL subtypes-electronegative LDL (L5) and Lp(a)-induce vascular cell apoptosis and atherosclerotic changes independent of plasma cholesterol levels, and their mechanisms warrant further investigation. Here, we have compared the roles of L5 and Lp(a) in the development of ASCVD.

Recent findings: Lp(a) tends to accumulate in artery walls, promoting plaque formation and potentially triggering atherosclerosis progression through prothrombotic or antifibrinolytic effects. High Lp(a) levels correlate …

T-Bet Regulates Ion Channels And Transporters And Induces Apoptosis In Intestinal Epithelial Cells, Lang Chen, Hongwei Yi, Qingtian Li, Tianhao Duan, Xin Liu, Linfeng Li, Helen Y Wang, Changsheng Xing, Rong-Fu Wang

Faculty, Staff and Students Publications

T-bet, encoded by TBX21, is extensively expressed across various immune cell types, and orchestrates critical functions in their development, survival, and physiological activities. However, the role of T-bet in non-immune compartments, notably the epithelial cells, remains obscure. Herein, a Tet-O-T-bet transgenic mouse strain is generated for doxycycline-inducible T-bet expression in adult animals. Unexpectedly, ubiquitous T-bet overexpression causes acute diarrhea, intestinal damage, and rapid mortality. Cell-type-specific analyses reveal that T-bet-driven pathology is not attributable to its overexpression in CD4

Personal But Necessarily Predictive? Developing A Bioethics Research Agenda For Ai-Enabled Decision-Making Tools, Vasiliki Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.