Medicine and Health Sciences Commons^™

Ovarian Cancer Metastasis: Looking Beyond The Surface, Emine Bayraktar, Sisy Chen, Sara Corvigno, Jinsong Liu, Anil K Sood

Faculty, Staff and Student Publications

Historically, ovarian cancer (OC) was thought to metastasize by surface-to-surface spread, but recent developments have yielded a new understanding of the paths of metastatic spread. Given the histologic and molecular heterogeneity of OC, we will focus on high-grade serous carcinoma (HGSC). Here, we provide a critical and more holistic view of the evidence supporting various routes of metastasis, including peritoneal, hematogenous, lymphatic, and nerve-related. Understanding the underlying mechanisms is necessary to improve treatment strategies for this challenging disease.

Left Ventricular Diastolic Dysfunction With Elevated Filling Pressures Is Associated With Embolic Stroke Of Undetermined Source And Atrial Fibrillation, Zubair Bashir, Liqi Shu, Yuqian Guo, Edward W Chen, Shuyuan Wang, Eric D Goldstein, Maheen Rana, Narendra Kala, Xing Dai, Daniel Mandel, Shadi Yaghi, Phinnara Has, Mingxing Xie, Tao Wang, James Simmons, Christopher Song, Philip Haines

Faculty, Staff and Student Publications

Background/Objectives: Left ventricular diastolic dysfunction (LVDD) and elevated left ventricular filling pressure (LVFP) are strong predictors of clinical outcomes across various populations. However, their diagnostic utility in embolic stroke of undetermined source (ESUS) remains unclear. We hypothesized that LVDD with elevated LVFP (based on echocardiography) was more likely to be prevalent in ESUS compared to non-cardioembolic stroke (NCE) and to be associated with atrial fibrillation (AF) on follow-up monitoring.

Methods: This is a single-center retrospective study that included adult patients with a diagnosis of acute ischemic stroke between January 2016 and June 2017. LV function was assessed by …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Multicenter Pivotal Study Of The Alterra Adaptive Prestent For The Treatment Of Pulmonary Regurgitation, V Vivian Dimas, Vasilis Babaliaros, Dennis Kim, D Scott Lim, Gareth Morgan, Thomas K Jones, Aimee K Armstrong, Darren Berman, Jamil Aboulhosn, Vaikom S Mahadevan, Matthew J Gillespie, David Balzer, Thomas Zellers, Xiao Yu, Girish Shirali, Anitha Parthiban, Jonathan Leipsic, Philipp Blanke, Evan Zahn, Shabana Shahanavaz

Faculty, Staff and Students Publications

Background: A dilated native right ventricular outflow tract (RVOT) presents unique challenges for transcatheter management using balloon-expandable valves. The Alterra Adaptive Prestent was designed to expand transcatheter therapy to treat patients with dilated RVOTs.

Objectives: The aim of this study was to report 2-year outcomes of the main cohort of the ALTERRA (Multicenter Study of Congenital Pulmonic Valve Dysfunction Studying the SAPIEN 3 THV With the Alterra Adaptive Prestent) pivotal trial using the prestent with transcatheter pulmonary valve replacement.

Methods: The prestent device used with the 29 mm SAPIEN 3 transcatheter heart valve (THV) was evaluated for the management of …

Sdeper: A Hybrid Machine Learning And Regression Method For Cell-Type Deconvolution Of Spatial Barcoding-Based Transcriptomic Data, Yunqing Liu, Ningshan Li, Ji Qi, Gang Xu, Jiayi Zhao, Nating Wang, Xiayuan Huang, Wenhao Jiang, Huanhuan Wei, Aurélien Justet, Taylor S Adams, Robert Homer, Amei Amei, Ivan O Rosas, Naftali Kaminski, Zuoheng Wang, Xiting Yan

Faculty, Staff and Students Publications

Spatial barcoding-based transcriptomic (ST) data require deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method to deconvolve ST data using reference single-cell RNA sequencing (scRNA-seq) data. SDePER tackles platform effects between ST and scRNA-seq data, ensuring a linear relationship between them while addressing sparsity and spatial correlations in cell types across capture spots. SDePER estimates cell-type proportions, enabling enhanced resolution tissue mapping by imputing cell-type compositions and gene expressions at unmeasured locations. Applications to simulated data and four real datasets showed SDePER's superior accuracy and robustness over existing methods.

Integrated Electrophysiological And Genomic Profiles Of Single Cells Reveal Spiking Tumor Cells In Human Glioma, Rachel N Curry, Qianqian Ma, Malcolm F Mcdonald, Yeunjung Ko, Snigdha Srivastava, Pey-Shyuan Chin, Peihao He, Brittney Lozzi, Prazwal Athukuri, Junzhan Jing, Su Wang, Arif O Harmanci, Benjamin Arenkiel, Xiaolong Jiang, Benjamin Deneen, Ganesh Rao, Akdes Serin Harmanci

Faculty, Staff and Students Publications

Prior studies have described the complex interplay that exists between glioma cells and neurons, however, the electrophysiological properties endogenous to tumor cells remain obscure. To address this, we employed Patch-sequencing on human glioma specimens and found that one third of patched cells in IDH mutant (IDHmut) tumors demonstrate properties of both neurons and glia by firing single, short action potentials. To define these hybrid cells (HCs) and discern if they are of tumoral origin, we developed a computational tool, Single Cell Rule Association Mining (SCRAM), to annotate each cell individually. SCRAM revealed that HCs represent tumor and non-tumor cells that …

Bi-Directional Allosteric Pathway In Nmda Receptor Activation And Modulation, Paula A Bender, Subhajit Chakraborty, Ryan J Durham, Vladimir Berka, Elisa Carrillo, Vasanthi Jayaraman

Faculty, Staff and Student Publications

N-methyl-D-aspartate (NMDA) receptors are ionotropic glutamate receptors involved in learning and memory. NMDA receptors primarily comprise two GluN1 and two GluN2 subunits. The GluN2 subunit dictates biophysical receptor properties, including the extent of receptor activation and desensitization. GluN2A- and GluN2D-containing receptors represent two functional extremes. To uncover the conformational basis of their functional divergence, we utilize single-molecule fluorescence resonance energy transfer to probe the extracellular domains of these receptor subtypes under resting and ligand-bound conditions. We find that the conformational profile of the GluN2 amino-terminal domain correlates with the disparate functions of GluN2A- and GluN2D-containing receptors. Changes at the pre-transmembrane …

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Pain After Licorice Or Sugar-Water Gargling In Patients Recovering From Oropharyngeal Surgery-A Randomized, Double-Blind Trial, Marita Windpassinger, Michal Prusak, Jana Gemeiner, Olga Plattner, Stefan Janik, Gerold Besser, Wolfgang Gstoettner, Pu Xuan, Daniel I Sessler, Kurt Ruetzler

Faculty, Staff and Student Publications

Background: Glycyrrhiza glabrata (licorice) is used in traditional medicine and herbal remedies and reduces sore throats consequent to intubation, but whether it is protective for more intense pain after oropharyngeal surgery remains unclear. We thus tested the joint hypothesis that gargling with licorice, which has anti-inflammatory and antioxidant properties, reduces postoperative pain and morphine consumption.

Methods: We enrolled patients having elective oropharyngeal surgery. Participants were randomly allocated to gargle with either 1 g licorice or a sugar placebo before and for up to three days after surgery. A numerical rating scale (NRS) for pain along with morphine consumption was evaluated …

Interleukin-1 Receptor-Associated Kinase 1 In Cancer Metastasis And Therapeutic Resistance: Mechanistic Insights And Translational Advances., Mariana K Najjar, Munazza S Khan, Chuling Zhuang, Ankush Chandra, Hui-Wen Lo

Faculty, Staff and Student Publications

Interleukin-1 Receptor Associated Kinase 1 (IRAK1) is a serine/threonine kinase that plays a critical role as a signaling transducer of the activated Toll-like receptor (TLR)/Interleukin-1 receptor (IL-1R) signaling pathway in both immune cells and cancer cells. Upon hyperphosphorylation by IRAK4, IRAK1 forms a complex with TRAF6, which results in the eventual activation of the NF-κB and MAPK pathways. IRAK1 can translocate to the nucleus where it phosphorylates STAT3 transcription factor, leading to enhanced IL-10 gene expression. In immune cells, activated IRAK1 coordinates innate immunity against pathogens and mediates inflammatory responses. In cancer cells, IRAK1 is frequently activated, and the activation …

Sex Hormones And Risk Of Lung And Colorectal Cancers In Women: A Mendelian Randomization Study, Marion Denos, Yi-Qian Sun, Ben Michael Brumpton, Yafang Li, Demetrius Albanes, Andrea Burnett-Hartman, Peter T Campbell, Sébastien Küry, Christopher I Li, Emily White, Jewel N Samadder, Mark A Jenkins, Xiao-Mei Mai

Faculty, Staff and Students Publications

The roles of sex hormones such as estradiol, testosterone, and sex hormone-binding globulin (SHBG) in the etiology of lung and colorectal cancers in women, among the most common cancers after breast cancer, are unclear. This Mendelian randomization (MR) study evaluated such potential causal associations in women of European ancestry. We used summary statistics data from genome-wide association studies on sex hormones and from the Trøndelag Health Study (HUNT) and large consortia on cancers. There was suggestive evidence of 1-standard deviation increase in total testosterone levels being associated with a lower risk of lung non-adenocarcinoma (hazard ratio 0.60, 95% confidence interval …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Porous Iron Electrodes Reduce Energy Consumption During Electrocoagulation Of A Virus Surrogate: Insights Into Performance Enhancements Using Three-Dimensional Neutron Computed Tomography, Kyungho Kim, Cesar Castillo, Gyoung G Jang, Yuxuan Zhang, Costas Tsouris, Shankararaman Chellam

Faculty, Staff and Students Publications

Electrocoagulation has attracted significant attention as an alternative to conventional chemical coagulation because it is capable of removing a wide range of contaminants and has several potential advantages. In contrast to most electrocoagulation research that has been performed with nonporous electrodes, in this study, we demonstrate energy-efficient iron electrocoagulation using porous electrodes. In batch operation, investigation of the external pore structures through optical microscopy suggested that a low porosity electrode with sparse connection between pores may lead to mechanical failure of the pore network during electrolysis, whereas a high porosity electrode is vulnerable to pore clogging. Electrodes with intermediate porosity, …

Multivariable Mendelian Randomization With Incomplete Measurements On The Exposure Variables In The Hispanic Community Health Study/Study Of Latinos, Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M Highland, Mariaelisa Graff, Kari E North, Carolina G Downie, Christy L Avery, Bing Yu, Kristin L Young, Victoria L Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin

Faculty, Staff and Student Publications

Multivariable Mendelian randomization allows simultaneous estimation of direct causal effects of multiple exposure variables on an outcome. When the exposure variables of interest are quantitative omic features, obtaining complete data can be economically and technically challenging: the measurement cost is high, and the measurement devices may have inherent detection limits. In this paper, we propose a valid and efficient method to handle unmeasured and undetectable values of the exposure variables in a one-sample multivariable Mendelian randomization analysis with individual-level data. We estimate the direct causal effects with maximum likelihood estimation and develop an expectation-maximization algorithm to compute the estimators. We …

Impact Of Age On Pharmacogenomics And Treatment Outcomes Of B-Cell Acute Lymphoblastic Leukemia, Satoshi Yoshimura, Zhenhua Li, Yoshihiro Gocho, Wenjian Yang, Kristine R Crews, Shawn H R Lee, Kathryn G Roberts, Charles G Mullighan, Mary V Relling, Jiyang Yu, Allen E J Yeoh, Mignon L Loh, Caner Saygin, Mark R Litzow, Sima Jeha, Seth E Karol, Hiroto Inaba, Ching-Hon Pui, Marina Konopleva, Nitin Jain, Wendy Stock, Elisabeth Paietta, Elias Jabbour, Steven M Kornblau, William E Evans, Jun J Yang

Faculty, Staff and Student Publications

Purpose: Acute lymphoblastic leukemia (ALL) can occur across all age groups, with a strikingly higher cure rate in children compared with adults. However, the pharmacological basis of age-related differences in ALL treatment response remains unclear.

Methods: Studying 767 children and 309 adults with newly diagnosed B-cell ALL enrolled on frontline trials at St Jude Children's Research Hospital, MD Anderson Cancer Center, the Alliance for Clinical Trials in Oncology, and the ECOG-ACRIN Cancer Research Group, we determined the ex vivo sensitivity of leukemia cells to 21 drugs. Twenty-three ALL molecular subtypes were identified using RNA sequencing. We systematically characterized the associations …

Rapid Evolution Of Mitochondrion-Related Genes In Haplodiploid Arthropods, Yiyuan Li, Gregg W C Thomas, Stephen Richards, Robert M Waterhouse, Xin Zhou, Michael E Pfrender

Faculty, Staff and Students Publications

Background: Mitochondrial genes and nuclear genes cooperate closely to maintain the functions of mitochondria, especially in the oxidative phosphorylation (OXPHOS) pathway. However, mitochondrial genes among arthropod lineages have dramatic evolutionary rate differences. Haplodiploid arthropods often show fast-evolving mitochondrial genes. One hypothesis predicts that the small effective population size of haplodiploid species could enhance the effect of genetic drift leading to higher substitution rates in mitochondrial and nuclear genes. Alternatively, positive selection or compensatory changes in nuclear OXPHOS genes could lead to the fast-evolving mitochondrial genes. However, due to the limited number of arthropod genomes, the rates of evolution for nuclear …

Churning The Tides Of Care: When Nurse Turnover Makes Waves In Patient Access To Primary Care, Kelley Arredondo, Ashley M Hughes, Houston F Lester, Trang N D Pham, Laura A Petersen, Lechauncy Woodard, Richard Sorelle, Cheng Rebecca Jiang, Frederick L Oswald, Daniel R Murphy, Hilary N Touchett, Joshua Hamer, Sylvia J Hysong

Faculty, Staff and Students Publications

BACKGROUND: Team-based primary care (PC) enhances the quality of and access to health care. The Veterans Health Administration (VHA) implements team-based care through Patient Aligned Care Teams (PACTs), consisting of four core members: a primary care provider, registered nurse (RN) care manager, licensed vocational nurse, and scheduling clerk. RNs play a central role: they coordinate patient care, manage operational needs, and serve as a patient point of contact. Currently, it is not known how varying levels of RN staffing on primary care teams impact patient outcomes.

OBJECTIVE: This study aims to empirically assess how the stability of RN staffing within …

Larp1 Haploinsufficiency Is Associated With An Autosomal Dominant Neurodevelopmental Disorder, James Chettle, Raymond J Louie, Olivia Larner, Robert Best, Kevin Chen, Josephine Morris, Zinaida Dedeic, Anna Childers, R Curtis Rogers, Barbara R Dupont, Cindy Skinner, Sébastien Küry, Kevin Uguen, Marc Planes, Danielle Monteil, Megan Li, Aviva Eliyahu, Lior Greenbaum, Nofar Mor, Thomas Besnard, Bertrand Isidor, Benjamin Cogné, Alyssa Blesson, Anne Comi, Ingrid M Wentzensen, Blake Vuocolo, Seema R Lalani, Roberta Sierra, Lori Berry, Kent Carter, Stephan J Sanders, Sarah P Blagden

Faculty, Staff and Students Publications

Autism spectrum disorder (ASD) is a neurodevelopmental disorder (NDD) that affects approximately 4% of males and 1% of females in the United States. While causes of ASD are multi-factorial, single rare genetic variants contribute to around 20% of cases. Here, we report a case series of seven unrelated probands (6 males, 1 female) with ASD or another variable NDD phenotype attributed to de novo heterozygous loss of function or missense variants in the gene LARP1 (La ribonucleoprotein 1). LARP1 encodes an RNA-binding protein that post-transcriptionally regulates the stability and translation of thousands of mRNAs, including those regulating cellular metabolism and …

Molecular And Clinical Features Of Pancreatic Acinar Cell Carcinoma: A Single-Institution Case Series, Ashwathy Balachandran Pillai, Mahmoud Yousef, Abdelrahman Yousef, Kristin D Alfaro-Munoz, Brandon G Smaglo, Jason Willis, Robert A Wolff, Shubham Pant, Mark W Hurd, Anirban Maitra, Huamin Wang, Matthew Harold G Katz, Laura R Prakash, Ching-Wei D Tzeng, Rebecca Snyder, Luca F Castelnovo, Anthony Chen, Andrey Kravets, Kseniia Kudriavtseva, Artem Tarasov, Kirill Kryukov, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

Objectives: Acinar cell carcinoma (ACC) accounts for about 1% of pancreatic cancers. The molecular and clinical features of ACC are less characterized than those of pancreatic ductal adenocarcinoma. Methods: We retrospectively evaluated the clinical and molecular features of ACC patients who underwent germline and/or somatic molecular testing at The University of Texas MD Anderson Cancer Center from 2008 to 2022 and two cases from 2023-2024 who underwent RNA and TME analysis by Boston Gene. Patient information was extracted from our institutional database with the approval of the Institutional Review Board. Results: We identified 16 patients with available molecular testing …

Phase I/Ii Study Of Bms-986156 With Ipilimumab Or Nivolumab With Or Without Stereotactic Ablative Radiotherapy In Patients With Advanced Solid Malignancies, Joe Y Chang, Xinyan Xu, Girish S Shroff, Nathan I Comeaux, Wei Li, Jordi Rodon Ahnert, Daniel D Karp, Ecaterina E Dumbrava, Vivek Verma, Aileen Chen, James Welsh, David S Hong

Faculty, Staff and Student Publications

Background: BMS-986156 is an agonist of the glucocorticoid-induced tumor necrosis factor receptor (TNFR)-related protein (GITR) and promotes increased effector T-cell activation. Combined anti-GITR, anti-programmed death-1, anti-cytotoxic T-lymphocyte-associated protein 4 antibodies and radiotherapy improve tumor control in preclinical studies. Herein we describe the results of the safety and efficacy of BMS-986156+ipilimumab or nivolumab with/without stereotactic ablative radiotherapy (SABR) in patients with advanced solid cancers (NCT04021043).

Methods: This open-label, multigroup, single-center phase I/II study enrolled patients with histologically-confirmed stage IV solid cancers resistant to standard treatments. Group 1 (G1, n=20) received four cycles of ipilimumab (3 mg/kg) plus BMS-986156 (30 …

Forecasting The Effects Of Smoking Prevalence Scenarios On Years Of Life Lost And Life Expectancy From 2022 To 2050: A Systematic Analysis For The Global Burden Of Disease Study 2021, Gbd 2021 Tobacco Forecasting Collaborators

Faculty, Staff and Students Publications

BACKGROUND: Smoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking prevalence has slowed in recent years for many countries, and although strategies have recently been proposed to achieve tobacco-free generations, none have been implemented to date. Assessing what could happen if current trends in smoking prevalence persist, and what could happen if additional smoking prevalence reductions occur, is important for communicating the effect of potential smoking policies.

METHODS: In this analysis, we use …

Single-Cell Somatic Copy Number Variants In Brain Using Different Amplification Methods And Reference Genomes, Ester Kalef-Ezra, Zeliha Gozde Turan, Diego Perez-Rodriguez, Ida Bomann, Sairam Behera, Caoimhe Morley, Sonja W Scholz, Zane Jaunmuktane, Jonas Demeulemeester, Fritz J Sedlazeck, Christos Proukakis

Faculty, Staff and Students Publications

The presence of somatic mutations, including copy number variants (CNVs), in the brain is well recognized. Comprehensive study requires single-cell whole genome amplification, with several methods available, prior to sequencing. Here we compare PicoPLEX with two recent adaptations of multiple displacement amplification (MDA): primary template-directed amplification (PTA) and droplet MDA, across 93 human brain cortical nuclei. We demonstrate different properties for each, with PTA providing the broadest amplification, PicoPLEX the most even, and distinct chimeric profiles. Furthermore, we perform CNV calling on two brains with multiple system atrophy and one control brain using different reference genomes. We find that 20.6% …

Personalized Brachytherapy: Applications And Future Directions, Piyush Pathak, Justin J Thomas, Arjit Baghwala, Chengfeng Li, Bin S Teh, Edward B Butler, Andrew M Farach

Faculty, Staff and Students Publications

Brachytherapy offers a highly conformal and adaptive approach to radiation therapy for various oncologic conditions. This review explores the rationale, applications, technological advances, and future directions of personalized brachytherapy. Integration of advanced imaging techniques, 3D-printed applicators, and artificial intelligence are rapidly enhancing brachytherapy delivery and efficiency, while genomic tests and molecular biomarkers are refining patient and dose selection. Emerging research on combining brachytherapy with immunotherapy offers unique synergistic potential, and technologies such as intensity-modulated and shielded brachytherapy applicators present novel opportunities to further optimize dose distributions. Despite these promising advances, the field faces challenges including a need to train more …

Rare Variant Contribution To The Heritability Of Coronary Artery Disease, Ghislain Rocheleau, Shoa L Clarke, Gaëlle Auguste, Natalie R Hasbani, Alanna C Morrison, Adam S Heath, Lawrence F Bielak, Kruthika R Iyer, Erica P Young, Nathan O Stitziel, Goo Jun, Cecelia Laurie, Jai G Broome, Alyna T Khan, Donna K Arnett, Lewis C Becker, Joshua C Bis, Eric Boerwinkle, Donald W Bowden, April P Carson, Patrick T Ellinor, Myriam Fornage, Nora Franceschini, Barry I Freedman, Nancy L Heard-Costa, Lifang Hou, Yii-Der Ida Chen, Eimear E Kenny, Charles Kooperberg, Brian G Kral, Ruth J F Loos, Sharon M Lutz, Joann E Manson, Lisa W Martin, Braxton D Mitchell, Rami Nassir, Nicholette D Palmer, Wendy S Post, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Elizabeth A Regan, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Lisa R Yanek, Kendra A Young, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Austin T Hilliard, Catherine Tcheandjieu, Patricia A Peyser, Ramachandran S Vasan, Jerome I Rotter, Clint L Miller, Themistocles L Assimes, Paul S De Vries, Ron Do

Faculty, Staff and Student Publications

Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 controls of European ancestry from the NHLBI TOPMed program. We estimate CAD heritability at 34.3% assuming a prevalence of 8.2%. Ultra-rare (minor allele frequency ≤ 0.1%) variants with low linkage disequilibrium (LD) score contribute ~50% of the heritability. We also investigate CAD heritability enrichment using a diverse set of functional annotations: i) constraint; ii) predicted protein-altering impact; iii) cis-regulatory elements from a cell-specific chromatin …

Impact Of Cancer Therapy On Clonal Hematopoiesis Mutations And Subsequent Clinical Outcomes, Kevin T Nead, Taebeom Kim, Lijin Joo, Tina L Mcdowell, Justin W Wong, Irenaeus C C Chan, Elizabeth Brock, Jing Zhao, Ting Xu, Chad Tang, Chang-Lung Lee, Jun-Ichi Abe, Kelly L Bolton, Zhongxing Liao, Paul A Scheet, Steven H Lin

Faculty, Staff and Student Publications

Exposure to cancer therapies is associated with an increased risk of clonal hematopoiesis (CH). The objective of our study was to investigate the genesis and evolution of CH after cancer therapy. In this prospective study, we undertook error-corrected duplex DNA sequencing in blood samples collected before and at 2 time points after chemoradiation in patients with esophageal or lung cancer recruited from 2013 to 2018. We applied a customized workflow to identify the earliest changes in CH mutation count and clone size and determine their association with clinical outcomes. Our study included 29 patients (87 samples). Their median age was …

Development And Assessment Of A Point-Of-Care Application (Genomic Medicine Guidance) For Heritable Thoracic Aortic Disease, Rohan Patil, Fatima Ashraf, Samer Abu Dayeh, Siddharth K Prakash

Faculty, Staff and Student Publications

Background: Genetic testing can determine familial and personal risks for heritable thoracic aortic aneurysms and dissections (TAD). The 2022 American College of Cardiology/American Heart Association guidelines for TAD recommend management decisions based on the specific gene mutation. However, many clinicians lack sufficient comfort or insight to integrate genetic information into clinical practice.

Objective: We therefore developed the Genomic Medicine Guidance (GMG) application, an interactive point-of-care tool to inform clinicians and patients about TAD diagnosis, treatment, and surveillance. GMG is a REDCap-based application that combines publicly available genetic data and clinical recommendations based on the TAD guidelines into one translational education …

Flagellar Motility Is Mutagenic, Souvik Bhattacharyya, Shelby Lopez, Abhyudai Singh, Rasika M Harshey

Faculty, Staff and Student Publications

Flagella are highly complex rotary molecular machines that enable bacteria to not only migrate to optimal environments but also to promote range expansion, competitiveness, virulence, and antibiotic survival. Flagellar motility is an energy-demanding process, where the sum of its production (biosynthesis) and operation (rotation) costs has been estimated to total ~10% of the entire energy budget of an

Rapid Hyperspectral Photothermal Mid-Infrared Spectroscopic Imaging From Sparse Data For Gynecologic Cancer Tissue Subtyping, Reza Reihanisaransari, Chalapathi Charan Gajjela, Xinyu Wu, Ragib Ishrak, Sara Corvigno, Yanping Zhong, Jinsong Liu, Anil K Sood, David Mayerich, Sebastian Berisha, Rohith Reddy

Faculty, Staff and Student Publications

Ovarian cancer detection has traditionally relied on a multistep process that includes biopsy, tissue staining, and morphological analysis by experienced pathologists. While widely practiced, this conventional approach suffers from several drawbacks: it is qualitative, time-intensive, and heavily dependent on the quality of staining. Mid-infrared (MIR) hyperspectral photothermal imaging is a label-free, biochemically quantitative technology that, when combined with machine learning algorithms, can eliminate the need for staining and provide quantitative results comparable to traditional histology. However, this technology is slow. This work presents a novel approach to MIR photothermal imaging that enhances its speed by an order of magnitude. This …

Fast, Variable Stiffness-Induced Braided Coiled Artificial Muscles, Xinghao Hu, Xiangyu Wang, Jian Wang, Guorong Zhang, Shaoli Fang, Fengrui Zhang, Ye Xiao, Guanggui Cheng, Ray H Baughman, Jianning Ding

Faculty, Staff and Student Publications

Biomimetic actuation technologies with high muscle strokes, cycle rates, and work capacities are necessary for robotic systems. We present a muscle type that operates based on changes in muscle stiffness caused by volume expansion. This muscle is created by coiling a mechanically strong braid, in which an elastomer hollow tube is adhesively attached inside. We show that the muscle reversibly contracts by 47.3% when driven by an oscillating input air pressure of 120 kilopascals at 10 Hz. It generates a maximum power density of 3.0 W/g and demonstrates a mechanical contractile efficiency of 74%. The muscle's low-pressure operation allowed for …

The Impact Of A Web-Based Prognostic Calculator On Prognostic Confidence In Outpatient Palliative Care, David Hui, John P Maxwell, Allison De La Rosa, Kristofer Jennings, Marieberta Vidal, Akhila Reddy, Ahsan Azhar, Rony Dev, Kimberson Tanco, Yvonne Heung, Marvin Delgado-Guay, Donna Zhukovsky, Joseph Arthur, Suresh Reddy, Sriram Yennu, Amy Ontai, Eduardo Bruera

Faculty, Staff and Student Publications

Purpose: Clinicians are often uncertain about their prognostic estimates, which may impede prognostic communication and clinical decision-making. We assessed the impact of a web-based prognostic calculator on physicians' prognostic confidence.

Methods: In this prospective study, palliative care physicians estimated the prognosis of patients with advanced cancer in an outpatient clinic using the temporal, surprise, and probabilistic approaches for 6 m, 3 m, 2 m, 1 m, 2 w, 1 w, and 3 d. They then reviewed information from www.predictsurvival.com , which calculated survival estimates from seven validated prognostic scores, including the Palliative Prognostic Score, Palliative Prognostic Index, and Palliative Performance …