Digital Commons Network^™

Open-Source Benchmarking Of Ibd Segment Detection Methods For Biobank-Scale Cohorts, Kecong Tang, Ardalan Naseri, Yuan Wei, Shaojie Zhang, Degui Zhi

Faculty, Staff and Student Publications

In the recent biobank era of genetics, the problem of identical-by-descent (IBD) segment detection received renewed interest, as IBD segments in large cohorts offer unprecedented opportunities in the study of population and genealogical history, as well as genetic association of long haplotypes. While a new generation of efficient methods for IBD segment detection becomes available, direct comparison of these methods is difficult: existing benchmarks were often evaluated in different datasets, with some not openly accessible; methods benchmarked were run under suboptimal parameters; and benchmark performance metrics were not defined consistently. Here, we developed a comprehensive and completely open-source evaluation of …

In Silico Identification Of A Β2-Adrenoceptor Allosteric Site That Selectively Augments Canonical Β2ar-Gs Signaling And Function, Sushrut D Shah, Christoffer Lind, Francesco De Pascali, Raymond B Penn, Alexander D Mackerell, Deepak A Deshpande

Department of Biochemistry and Molecular Biology Faculty Papers

Activation of β2-adrenoceptors (β2ARs) causes airway smooth muscle (ASM) relaxation and bronchodilation, and β2AR agonists (β-agonists) are front-line treatments for asthma and other obstructive lung diseases. However, the therapeutic efficacy of β-agonists is limited by agonist-induced β2AR desensitization and noncanonical β2AR signaling involving β-arrestin that is shown to promote asthma pathophysiology. Accordingly, we undertook the identification of an allosteric site on β2AR that could modulate the activity of β-agonists to overcome these limitations. We employed the site identification by ligand competitive saturation (SILCS) computational method to comprehensively map the entire 3D structure of in silico-generated β2AR intermediate conformations and identified …

Procedural Outcomes After Percutaneous Coronary Interventions In Focal And Diffuse Coronary Artery Disease, Takuya Mizukami, Jeroen Sonck, Koshiro Sakai, Brian Ko, Michael Maeng, Hiromasa Otake, Bon-Kwon Koo, Sakura Nagumo, Bjarne L Nørgaard, Jonathon Leipsic, Toshiro Shinke, Daniel Munhoz, Niya Mileva, Marta Belmonte, Hirofumi Ohashi, Emanuele Barbato, Nils P Johnson, Bernard De Bruyne, Carlos Collet

Faculty, Staff and Student Publications

Background

Coronary artery disease (CAD) patterns play an essential role in the decision‐making process about revascularization. The pullback pressure gradient (PPG) quantifies CAD patterns as either focal or diffuse based on fractional flow reserve (FFR) pullbacks. The objective of this study was to evaluate the impact of CAD patterns on acute percutaneous coronary intervention (PCI) results considered surrogates of clinical outcomes.

Methods and Results

This was a prospective, multicenter study of patients with hemodynamically significant CAD undergoing PCI. Motorized FFR pullbacks and optical coherence tomography (OCT) were performed before and after PCI. Post‐PCI FFR >0.90 was considered an optimal result. …

Plasma Growth Hormone Is A Potential Biomarker Of Response To Atezolizumab And Bevacizumab In Advanced Hepatocellular Carcinoma Patients, Yehia I Mohamed, Dan G Duda, Muhammad O Awiwi, Sunyoung S Lee, Lina Altameemi, Lianchun Xiao, Jeffrey S Morris, Robert A Wolff, Khaled M Elsayes, Rikita I Hatia, Aliya Qayyum, Shadi M Chamseddine, Asif Rashid, James C Yao, Armeen Mahvash, Manal M Hassan, Hesham M Amin, Ahmed Omar Kaseb

Faculty, Staff and Student Publications

INTRODUCTION: Hepatocellular carcinoma (HCC) has limited systemic therapy options when discovered at an advanced stage. Thus, there is a need for accessible and minimally invasive biomarkers of response to guide the selection of patients for treatment. This study investigated the biomarker value of plasma growth hormone (GH) level as a potential biomarker to predict outcome in unresectable HCC patients treated with current standard therapy, atezolizumab plus bevacizumab (Atezo/Bev).

MATERIALS AND METHODS: Study included unresectable HCC patients scheduled to receive Atezo/Bev. Patients were followed to determine progression-free survival (PFS) and overall survival (OS). Plasma GH levels were measured by ELISA and …

Modulation Of Sirtuins During Monolayer Chondrocyte Culture Influences Cartilage Regeneration Upon Transfer To A 3d Culture Environment, Hannah K Heywood, Stephen D Thorpe, Renos M Jeropoulos, Paul W Caton, David A Lee

Faculty, Staff and Student Publications

This study examined the role of sirtuins in the regenerative potential of articular chondrocytes. Sirtuins (SIRT1-7) play a key role in regulating cartilage homeostasis. By inhibiting pro-inflammatory pathways responsible for cartilage degradation and promoting the expression of key matrix components, sirtuins have the potential to drive a favourable balance between anabolic and catabolic processes critical to regenerative medicine. When subjected to osmolarity and glucose concentrations representative of the in vivo niche, freshly isolated bovine chondrocytes exhibited increases in SIRT1 but not SIRT3 gene expression. Replicating methods adopted for the in vitro monolayer expansion of chondrocytes for cartilage regenerative therapies, we …

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Haris I Sair, Craig K Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A Vogelbaum, J Ross Mitchell, Joaquim Farinhas, Joseph A Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C Pinho, Divya Reddy, James Holcomb, Benjamin C Wagner, Benjamin M Ellingson, Timothy F Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B Martins, Bernardo C A Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Pamela Lamontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W Lui, Richard Mckinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E Sloan, Vachan Vadmal, Kristin Waite, Rivka R Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V M Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila M. Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R Van Der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M J Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Hendrikus J Dubbink, Arnaud J P E Vincent, Martin J Van Den Bent, Pim J French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B Chambless, Akshitkumar Mistry, Reid C Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G H Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu, Adeleye Dorcas, Farouk Dako, Amber L Simpson, Mohammad Hamghalam, Jacob J Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y Moraes, Michael A Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S Barnholtz-Sloan, Jason Martin, Spyridon Bakas

Radiation Oncology Articles

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n  =  6, 314). We demonstrate a 33% delineation improvement for the surgically …

Impact Of International Travel And Diarrhea On Gut Microbiome And Resistome Dynamics, Manish Boolchandani, Kevin S Blake, Drake H Tilley, Miguel M Cabada, Drew J Schwartz, Sanket Patel, Maria Luisa Morales, Rina Meza, Giselle Soto, Sandra D Isidean, Chad K Porter, Mark P Simons, Gautam Dantas

2020-Current year OA Pubs

International travel contributes to the global spread of antimicrobial resistance. Travelers' diarrhea exacerbates the risk of acquiring multidrug-resistant organisms and can lead to persistent gastrointestinal disturbance post-travel. However, little is known about the impact of diarrhea on travelers' gut microbiomes, and the dynamics of these changes throughout travel. Here, we assembled a cohort of 159 international students visiting the Andean city of Cusco, Peru and applied next-generation sequencing techniques to 718 longitudinally-collected stool samples. We find that gut microbiome composition changed significantly throughout travel, but taxonomic diversity remained stable. However, diarrhea disrupted this stability and resulted in an increased abundance …

Complexity Of Progranulin Mechanisms Of Action In Mesothelioma, Elisa Ventura, Christopher Xie, Simone Buraschi, Antonino Belfiore, Renato V. Iozzo, Antonio Giordano, Andrea Morrione

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Background: Mesothelioma is an aggressive disease with limited therapeutic options. The growth factor progranulin plays a critical role in several cancer models, where it regulates tumor initiation and progression. Recent data from our laboratories have demonstrated that progranulin and its receptor, EphA2, constitute an oncogenic pathway in bladder cancer by promoting motility, invasion and in vivo tumor formation. Progranulin and EphA2 are expressed in mesothelioma cells but their mechanisms of action are not well defined. In addition, there are no data establishing whether the progranulin/EphA2 axis is tumorigenic for mesothelioma cells.

Methods: The expression of progranulin in various mesothelioma cell …

Federated Learning Enables Big Data For Rare Cancer Boundary Detection, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-Han Wang, G Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J Preetha, Felix Sahm, Klaus Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey Rudie, Javier Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y Huang, Ken Chang, Carmen Balaña, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S Alexander, Joseph Lombardo, Joshua D Palmer, Adam E Flanders, Adam P Dicker, Haris I Sair, Craig K Jones, Archana Venkataraman, Meirui Jiang, Tiffany Y So, Cheng Chen, Pheng Ann Heng, Qi Dou, Michal Kozubek, Filip Lux, Jan Michálek, Petr Matula, Miloš Keřkovský, Tereza Kopřivová, Marek Dostál, Václav Vybíhal, Michael A Vogelbaum, J Ross Mitchell, Joaquim Farinhas, Joseph A Maldjian, Chandan Ganesh Bangalore Yogananda, Marco C Pinho, Divya Reddy, James Holcomb, Benjamin C Wagner, Benjamin M Ellingson, Timothy F Cloughesy, Catalina Raymond, Talia Oughourlian, Akifumi Hagiwara, Chencai Wang, Minh-Son To, Sargam Bhardwaj, Chee Chong, Marc Agzarian, Alexandre Xavier Falcão, Samuel B Martins, Bernardo C A Teixeira, Flávia Sprenger, David Menotti, Diego R Lucio, Pamela Lamontagne, Daniel Marcus, Benedikt Wiestler, Florian Kofler, Ivan Ezhov, Marie Metz, Rajan Jain, Matthew Lee, Yvonne W Lui, Richard Mckinley, Johannes Slotboom, Piotr Radojewski, Raphael Meier, Roland Wiest, Derrick Murcia, Eric Fu, Rourke Haas, John Thompson, David Ryan Ormond, Chaitra Badve, Andrew E Sloan, Vachan Vadmal, Kristin Waite, Rivka R Colen, Linmin Pei, Murat Ak, Ashok Srinivasan, J Rajiv Bapuraj, Arvind Rao, Nicholas Wang, Ota Yoshiaki, Toshio Moritani, Sevcan Turk, Joonsang Lee, Snehal Prabhudesai, Fanny Morón, Jacob Mandel, Konstantinos Kamnitsas, Ben Glocker, Luke V M Dixon, Matthew Williams, Peter Zampakis, Vasileios Panagiotopoulos, Panagiotis Tsiganos, Sotiris Alexiou, Ilias Haliassos, Evangelia I Zacharaki, Konstantinos Moustakas, Christina Kalogeropoulou, Dimitrios M Kardamakis, Yoon Seong Choi, Seung-Koo Lee, Jong Hee Chang, Sung Soo Ahn, Bing Luo, Laila Poisson, Ning Wen, Pallavi Tiwari, Ruchika Verma, Rohan Bareja, Ipsa Yadav, Jonathan Chen, Neeraj Kumar, Marion Smits, Sebastian R Van Der Voort, Ahmed Alafandi, Fatih Incekara, Maarten M J Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W Schouten, Hendrikus J Dubbink, Arnaud J P E Vincent, Martin J Van Den Bent, Pim J French, Stefan Klein, Yading Yuan, Sonam Sharma, Tzu-Chi Tseng, Saba Adabi, Simone P Niclou, Olivier Keunen, Ann-Christin Hau, Martin Vallières, David Fortin, Martin Lepage, Bennett Landman, Karthik Ramadass, Kaiwen Xu, Silky Chotai, Lola B Chambless, Akshitkumar Mistry, Reid C Thompson, Yuriy Gusev, Krithika Bhuvaneshwar, Anousheh Sayah, Camelia Bencheqroun, Anas Belouali, Subha Madhavan, Thomas C Booth, Alysha Chelliah, Marc Modat, Haris Shuaib, Carmen Dragos, Aly Abayazeed, Kenneth Kolodziej, Michael Hill, Ahmed Abbassy, Shady Gamal, Mahmoud Mekhaimar, Mohamed Qayati, Mauricio Reyes, Ji Eun Park, Jihye Yun, Ho Sung Kim, Abhishek Mahajan, Mark Muzi, Sean Benson, Regina G H Beets-Tan, Jonas Teuwen, Alejandro Herrera-Trujillo, Maria Trujillo, William Escobar, Ana Abello, Jose Bernal, Jhon Gómez, Joseph Choi, Stephen Baek, Yusung Kim, Heba Ismael, Bryan Allen, John M Buatti, Aikaterini Kotrotsou, Hongwei Li, Tobias Weiss, Michael Weller, Andrea Bink, Bertrand Pouymayou, Hassan F Shaykh, Joel Saltz, Prateek Prasanna, Sampurna Shrestha, Kartik M Mani, David Payne, Tahsin Kurc, Enrique Pelaez, Heydy Franco-Maldonado, Francis Loayza, Sebastian Quevedo, Pamela Guevara, Esteban Torche, Cristobal Mendoza, Franco Vera, Elvis Ríos, Eduardo López, Sergio A Velastin, Godwin Ogbole, Mayowa Soneye, Dotun Oyekunle, Olubunmi Odafe-Oyibotha, Babatunde Osobu, Mustapha Shu'aibu, Adeleye Dorcas, Farouk Dako, Amber L Simpson, Mohammad Hamghalam, Jacob J Peoples, Ricky Hu, Anh Tran, Danielle Cutler, Fabio Y Moraes, Michael A Boss, James Gimpel, Deepak Kattil Veettil, Kendall Schmidt, Brian Bialecki, Sailaja Marella, Cynthia Price, Lisa Cimino, Charles Apgar, Prashant Shah, Bjoern Menze, Jill S Barnholtz-Sloan, Jason Martin, Spyridon Bakas

Faculty, Staff and Student Publications

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically …

Natural Coevolution Of Tumor And Immunoenvironment In Glioblastoma., Lingxiang Wu, Wei Wu, Junxia Zhang, Zheng Zhao, Liangyu Li, Mengyan Zhu, Min Wu, Fan Wu, Fengqi Zhou, Yuxin Du, Rui-Chao Chai, Wei Zhang, Xiaoguang Qiu, Quanzhong Liu, Ziyu Wang, Jie Li, Kening Li, Apeng Chen, Yinan Jiang, Xiangwei Xiao, Han Zou, Rashmi Srivastava, Tingting Zhang, Yun Cai, Yuan Liang, Bin Huang, Ruohan Zhang, Fan Lin, Lang Hu, Xiuxing Wang, Xu Qian, Sali Lv, Baoli Hu, Siyuan Zheng, Zhibin Hu, Hongbing Shen, Yongping You, Roel G W Verhaak, Tao Jiang, Qianghu Wang

Faculty Research 2022

Isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) has a dismal prognosis. A better understanding of tumor evolution holds the key to developing more effective treatment. Here we study GBM's natural evolutionary trajectory by using rare multifocal samples. We sequenced 61,062 single cells from eight multifocal IDH wild-type primary GBMs and defined a natural evolution signature (NES) of the tumor. We show that the NES significantly associates with the activation of transcription factors that regulate brain development, including MYBL2 and FOSL2. Hypoxia is involved in inducing NES transition potentially via activation of the HIF1A-FOSL2 axis. High-NES tumor cells could recruit and polarize …

Identification Of Novel Antifungal Skeleton Of Hydroxyethyl Naphthalimides With Synergistic Potential For Chemical And Dynamic Treatments, Pengli Zhang, Vijai Kumar Reddy Tangadanchu, Chenghe Zhou

2020-Current year OA Pubs

The invasion of pathogenic fungi poses nonnegligible threats to the human health and agricultural industry. This work exploited a family of hydroxyethyl naphthalimides as novel antifungal species with synergistic potential of chemical and dynamic treatment to combat the fungal resistance. These prepared naphthalimides showed better antifungal potency than fluconazole towards some tested fungi including

Active Dna Demethylation Promotes Cell Fate Specification And The Dna Damage Response, Dongpeng Wang, Wei Wu, Elsa Callen, Raphael Pavani, Nicholas Zolnerowich, Srikanth Kodali, Dali Zong, Nancy Wong, Santiago Noriega, William J Nathan, Gabriel Matos-Rodrigues, Raj Chari, Michael J Kruhlak, Ferenc Livak, Michael Ward, Keith Caldecott, Bruno Di Stefano, André Nussenzweig

Faculty, Staff and Students Publications

Neurons harbor high levels of single-strand DNA breaks (SSBs) that are targeted to neuronal enhancers, but the source of this endogenous damage remains unclear. Using two systems of postmitotic lineage specification-induced pluripotent stem cell-derived neurons and transdifferentiated macrophages-we show that thymidine DNA glycosylase (TDG)-driven excision of methylcytosines oxidized with ten-eleven translocation enzymes (TET) is a source of SSBs. Although macrophage differentiation favors short-patch base excision repair to fill in single-nucleotide gaps, neurons also frequently use the long-patch subpathway. Disrupting this gap-filling process using anti-neoplastic cytosine analogs triggers a DNA damage response and neuronal cell death, which is dependent on TDG. …

Dpc29 Promotes Mitochondrial Translation Post-Initation In Saccharomyces Cerevisiae, Kyle Andrew Hubble

Graduate School of Biomedical Sciences Theses and Dissertations

Although the cytosolic and bacterial translation systems are well studied, much less is known about translation in mitochondria. In the yeast Saccharomyces cerevisiae, mitochondrial gene expression is predominately regulated by translational activators. These regulators are thought to promote translation by binding the elongated 5’-UTRs on their target mRNAs. Since mammalian mitochondrial mRNAs generally lack 5’-UTRs, they must regulate translation by other mechanisms. As expected, most yeast translational activators lack orthologues in mammals. Recently, a mitochondrial gene-specific translational activator, TACO1, was reported in mice and humans. To better define its role in mitochondrial translation I examined the yeast TACO1 orthologue, DPC29. …

A Reference Human Induced Pluripotent Stem Cell Line For Large-Scale Collaborative Studies., Caroline B Pantazis, Andrian Yang, Erika Lara, Justin A Mcdonough, Cornelis Blauwendraat, Lirong Peng, Hideyuki Oguro, Jitendra Kanaujiya, Jizhong Zou, David Sebesta, Gretchen Pratt, Erin Cross, Jeffrey Blockwick, Philip Buxton, Lauren Kinner-Bibeau, Constance Medura, Christopher Tompkins, Stephen Hughes, Marianita Santiana, Faraz Faghri, Mike A Nalls, Daniel Vitale, Shannon Ballard, Yue A Qi, Daniel M Ramos, Kailyn M Anderson, Julia Stadler, Priyanka Narayan, Jason Papademetriou, Luke Reilly, Matthew P Nelson, Sanya Aggarwal, Leah U Rosen, Peter Kirwan, Venkat Pisupati, Steven L Coon, Sonja W Scholz, Theresa Priebe, Miriam Öttl, Jian Dong, Marieke Meijer, Lara J M Janssen, Vanessa S Lourenco, Rik Van Der Kant, Dennis Crusius, Dominik Paquet, Ana-Caroline Raulin, Guojun Bu, Aaron Held, Brian J Wainger, Rebecca M C Gabriele, Jackie M Casey, Selina Wray, Dad Abu-Bonsrah, Clare L Parish, Melinda S Beccari, Don W Cleveland, Emmy Li, Indigo V L Rose, Martin Kampmann, Carles Calatayud Aristoy, Patrik Verstreken, Laurin Heinrich, Max Y Chen, Birgitt Schüle, Dan Dou, Erika L F Holzbaur, Maria Clara Zanellati, Richa Basundra, Mohanish Deshmukh, Sarah Cohen, Richa Khanna, Malavika Raman, Zachary S Nevin, Madeline Matia, Jonas Van Lent, Vincent Timmerman, Bruce R Conklin, Katherine Johnson Chase, Ke Zhang, Salome Funes, Daryl A Bosco, Lena Erlebach, Marc Welzer, Deborah Kronenberg-Versteeg, Guochang Lyu, Ernest Arenas, Elena Coccia, Lily Sarrafha, Tim Ahfeldt, John C Marioni, William C Skarnes, Mark R Cookson, Michael E Ward, Florian T Merkle

Faculty Research 2022

Human induced pluripotent stem cell (iPSC) lines are a powerful tool for studying development and disease, but the considerable phenotypic variation between lines makes it challenging to replicate key findings and integrate data across research groups. To address this issue, we sub-cloned candidate human iPSC lines and deeply characterized their genetic properties using whole genome sequencing, their genomic stability upon CRISPR-Cas9-based gene editing, and their phenotypic properties including differentiation to commonly used cell types. These studies identified KOLF2.1J as an all-around well-performing iPSC line. We then shared KOLF2.1J with groups around the world who tested its performance in head-to-head comparisons …

Sleep To Reduce Incident Depression Effectively (Stride): Study Protocol For A Randomized Controlled Trial Comparing Stepped-Care Cognitive-Behavioral Therapy For Insomnia Versus Sleep Education Control To Prevent Major Depression, Christopher L. Drake, David A. Kalmbach, Philip Cheng, Brian K. Ahmedani, Edward L. Peterson, Christine L. M. Joseph, Thomas Roth, Kelley M. Kidwell, Chaewon Sagong

Sleep Medicine Articles

BACKGROUND: Prevention of major depressive disorder (MDD) is a public health priority. Strategies targeting individuals at elevated risk for MDD may guide effective preventive care. Insomnia is a reliable precursor to depression, preceding half of all incident and relapse cases. Thus, insomnia may serve as a useful entry point for preventing MDD. Cognitive-behavioral therapy for insomnia (CBT-I) is recommended as the first-line treatment for insomnia, but widespread implementation is limited by a shortage of trained specialists. Innovative stepped-care approaches rooted in primary care can increase access to CBT-I and reduce rates of MDD.

METHODS/DESIGN: We propose a large-scale stepped-care clinical …

Heavy Metals As Risk Factors For Human Diseases - A Bayesian Network Approach, M Perrelli, R Wu, D J Liu, R G Lucchini, L Del Bosque-Plata, Michael Vergare, M P Akhter, J Ott, Claudia Gragnoli

Division of Endocrinology, Diabetes and Metabolic Diseases Faculty Papers

Modern industrial agricultural processes expose human beings to multifactorial environmental pollution including heightened levels of heavy metals. The effects of acute heavy metal exposures at toxic levels are usually known; they are tested for and treated promptly. The effects of low/moderate-level chronic heavy metal exposures are less known as they may be subclinical, and pathogenic effects may only manifest clinically over time under the disguise of a diagnosable disease or miscellaneous symptoms attributed to aging. Consequently, the health impact of low-moderate heavy metal exposure is unlikely to be identified. Furthermore, established heavy metal safety levels often fail to recognize the …

Agent-Based Modeling Predicts Rac1 Is Critical For Ovarian Cancer Metastasis, Melanie Rivera, Leslie Toledo-Jacobo, Elsa Romero, Tudor I. Oprea, Melanie E. Moses, Laurie G. Hudson, Angela Wandinger-Ness, Martha M. Grimes

Pathology Research and Scholarship

Experimental and computational studies pinpoint rate-limiting step(s) in metastasis governed by Rac1. Using ovarian cancer cell and animal models, Rac1 expression was manipulated, and quantitative measurements of cell-cell and cell-substrate adhesion, cell invasion, mesothelial clearance, and peritoneal tumor growth discriminated the tumor behaviors most highly influenced by Rac1. The experimental data were used to parameterize an agent-based computational model simulating peritoneal niche colonization, intravasation, and hematogenous metastasis to distant organs. Increased ovarian cancer cell survival afforded by the more rapid adhesion and intravasation upon Rac1 overexpression is predicted to increase the numbers of and the rates at which tumor cells …

Assessing Knowledge And Perceptions About Cancer Among American Indians Of The Zuni Pueblo, Nm, Safia Safi, Donica Ghahate, Jeanette Bobelu, Andrew L. Sussman, Joseph Rodman, Angela Wandinger-Ness, Shiraz I. Mishra, Thomas Faber, Cheryl Willman, Vallabh Shah

Pathology Research and Scholarship

American Indians (AIs) in New Mexico have lower cancer screening rates compared to other populations and are more likely to be diagnosed with cancer at an advanced stage of the disease as reported by Li et al. (Archives of Internal Medicine 163(1):49-56, 2003). AIs also have the lowest 5-year cancer survival rates compared to any ethnic/racial group in the USA as reported by Clegg et al. (Arch Intern Med 162:1985-1993, 2002) and Edwards et al. (Cancer 97:1407-1427, 2005). Numerous barriers such as cultural beliefs, fear, fatalism, mistrust, stigma, and lack of culturally appropriate interventions could contribute to low cancer screening …

Comparing The Outcomes Of Face-To-Face And Synchronous Online Research Mentor Training Using Propensity Score Matching, Jenna Rogers, Xue Gong, Angela Byars-Winston, Melissa Mcdaniels, Nancy Thayer-Hart, Philip Cheng, Kelly Diggs-Andrews, Kermin J. Martínez-Hernández, Christine Pfund

Sleep Medicine Articles

In this study, propensity score matching (PSM) was conducted to examine differences in the effectiveness of research mentor training (RMT) implemented using two modes-face-to-face or synchronous online training. This study investigated each training mode and assessed participants' perceived gains in mentoring skills, ability to meet mentees' expectations, and overall quality of mentoring, as well as intention to make changes to their mentoring practices. Additional factors that may contribute to participant outcomes were also examined. In total, 152 mentors trained using a synchronous online platform and 655 mentors trained in in-person workshops were analyzed using the PSM method. Mentors were matched …

First-Generation And Continuing-Generation College Graduates' Application, Acceptance, And Matriculation To U.S. Medical Schools: A National Cohort Study, Hyacinth R C Mason, Ashar Ata, Mytien Nguyen, Sunny Nakae, Devasmita Chakraverty, Branden Eggan, Sarah Martinez, Donna B Jeffe

Open Access Publications

Many U.S. medical schools conduct holistic review of applicants to enhance the socioeconomic and experiential diversity of the physician workforce. The authors examined the role of first-generation college-graduate status on U.S. medical school application, acceptance, and matriculation, hypothesizing that first-generation (vs. continuing-generation) college graduates would be less likely to apply and gain acceptance to medical school.Secondary analysis of de-identified data from a retrospective national-cohort study was conducted for individuals who completed the 2001-2006 Association of American Medical Colleges (AAMC) Pre-Medical College Admission Test Questionnaire (PMQ) and the Medical College Admissions Test (MCAT). AAMC provided medical school application, acceptance, and matriculation …

Perceived Efficacy, Reduced Prescription Drug Use, And Minimal Side Effects Of Cannabis In Patients With Chronic Orthopedic Pain, Ari Greis, Eric Larsen, Conan Liu, Bryan Renslo, Anjithaa Radakrishnan, Adrianne R Wilson-Poe

Rothman Institute Papers

Introduction: Although cannabis is widely used for the treatment of chronic pain, most research relies on patient self-report and few studies have objectively quantified its efficacy and side effects. Extant inventories for measuring cannabis use were not designed to capture the medically relevant features of cannabis use, but rather were designed to detect problematic use or cannabis use disorder. Thus, we sought to capture the medically relevant features of cannabis use in a population of patients with orthopedic pain and pair these data with objective measures of pain and prescription drug use. Materials and Methods: In this prospective observational study, …

Technology-Enhanced In Vivo Exposures In Prolonged Exposure For Ptsd: A Pilot Randomized Controlled Trial, Tanya C Saraiya, Amber M Jarnecke, Alex O Rothbaum, Bethany Wangelin, Lisa M Mcteague, Ron Acierno, Delisa G Brown, Emily Bristol, Hayley Feigl, Mclain Reese, Adam R Cobb, Bill Harley, Robert J Adams, Sudie E Back

Faculty, Staff and Student Publications

In vivo exposures (IVEs) are a key component of exposure-based treatments, during which patients approach fear-provoking, yet safe, situations in "real life." This pilot study assessed the use of a wearable technology (Bio Ware) during IVEs to enhance Prolonged Exposure (PE) therapy for PTSD. Bio Ware provides a clinician dashboard with real-time physiological and subjective data for clinicians to use for virtually guided IVEs. Participants (N = 40) were randomized to a Guided group that received standard PE and virtual, clinician-guided IVEs with the Bio Ware device, or a Non-Guided group that received standard PE and used the Bio Ware …

Low-Dose Aspirin For Venous Thromboembolism Prophylaxis Is Associated With Lower Rates Of Periprosthetic Joint Infection After Total Joint Arthroplasty, Farideh Najafi, Joseph K. Kendal, Nicholas V. Peterson, Kerri-Anne Ciesielka, Camilo Restrepo, Javad Parvizi, Nicholas M. Bernthal

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: Aspirin as a venous thromboembolism (VTE) prophylactic agent has been shown to have antistaphylococcal and antibiofilm roles. Optimal acetylsalicylic acid (ASA) dosage would facilitate antimicrobial effects while avoiding over-aggressive inhibition of platelet antimicrobial function. Our purpose was to determine the periprosthetic joint infection (PJI) rate after total joint arthroplasty in patients receiving low-dose ASA (81 mg twice a day), in comparison to high-dose ASA (325 mg twice a day).

METHODS: We conducted a retrospective cohort study between 2008 and 2020. Eligible patients were older than 18 years, underwent primary total joint arthroplasty, both total knee arthroplasty and total hip …

Associations Of Neighborhood Opportunity And Social Vulnerability With Trajectories Of Childhood Body Mass Index And Obesity Among Us Children, Izzuddin M. Aris, Wei Perng, Dana Dabelea, Amy M. Padula, Akram Alshawabkeh, Carmen M. Vélez-Vega, Judy L. Aschner, Carlos A. Camargo, Tamara J. Sussman, Anne L. Dunlop, Amy J. Elliott, Assiamira Ferrara, Yeyi Zhu, Christine L. M. Joseph, Anne M. Singh, Tina Hartert, Ferdinand Cacho, Margaret R. Karagas, Tiffany North-Reid, Barry M. Lester, Nichole R. Kelly, Jody M. Ganiban, Su H. Chu, Thomas G. O'Connor, Rebecca C. Fry, Gwendolyn Norman, Leonardo Trasande, Bibiana Restrepo, Peter James, Emily Oken

Public Health Sciences Articles

IMPORTANCE: Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied.

OBJECTIVE: To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least …

Chronic Kidney Disease In Public Renal Practices In Queensland, Australia, 2011–2018, Wendy E Hoy, Zaimin Wang, Jianzhen Zhang, Vishal Diwan, Anne Cameron, Sree K Venuthurupalli, Robert G Fassett, Samuel Chan, Helen G Healy, Ken-Soon Tan, Richard Baer, Andrew J Mallett, Nicholas Gray, Murty Mantha, Roy Cherian, Clyson Mutatiri, Krishan Madhan, George Kan, Geoffrey Mitchell, Shahadat Hossain, Danielle Wu, Thin Han, Adrian Kark, Thomas Titus, Dwarakanatan Ranganathan, Ann Bonner, Sridevi Govindarajulu, Nhmrc Ckd.Cre And The Ckd.Qld Collaborative

Faculty, Staff and Student Publications

AIM: To describe adults with (non-dialysis) chronic kidney disease (CKD) in nine public renal practice sites in the Australian state of Queensland.

METHODS: 7,060 persons were recruited to a CKD Registry in May 2011 and until start of kidney replacement therapy (KRT), death without KRT or June 2018, for a median period of 3.4 years.

RESULTS: The cohort comprised 7,060 persons, 52% males, with a median age of 68 yr; 85% had CKD stages 3A to 5, 45.4% were diabetic, 24.6% had diabetic nephropathy, and 51.7% were obese. Younger persons mostly had glomerulonephritis or genetic renal disease, while older persons …

Structural Variants Drive Context-Dependent Oncogene Activation In Cancer, Zhichao Xu, Dong-Sung Lee, Sahaana Chandran, Victoria T Le, Rosalind Bump, Jean Yasis, Sofia Dallarda, Samantha Marcotte, Benjamin Clock, Nicholas Haghani, Chae Yun Cho, Kadir C Akdemir, Selene Tyndale, P Andrew Futreal, Graham Mcvicker, Geoffrey M Wahl, Jesse R Dixon

Faculty, Staff and Student Publications

Higher-order chromatin structure is important for the regulation of genes by distal regulatory sequences. Structural variants (SVs) that alter three-dimensional (3D) genome organization can lead to enhancer-promoter rewiring and human disease, particularly in the context of cancer3. However, only a small minority of SVs are associated with altered gene expression4,5, and it remains unclear why certain SVs lead to changes in distal gene expression and others do not. To address these questions, we used a combination of genomic profiling and genome engineering to identify sites of recurrent changes in 3D genome structure in cancer and determine the effects of specific …

Mildly Dysplastic Oral Lesions With Optically-Detectable Abnormalities Share Genetic Similarities With Severely Dysplastic Lesions, David R Brenes, Allison J Nipper, Melody T Tan, Frederico O Gleber-Netto, Richard A Schwarz, Curtis R Pickering, Michelle D Williams, Nadarajah Vigneswaran, Ann M Gillenwater, Andrew G Sikora, Rebecca R Richards-Kortum

Faculty, Staff and Student Publications

OBJECTIVE: Optical imaging studies of oral premalignant lesions have shown that optical markers, including loss of autofluorescence and altered morphology of epithelial cell nuclei, are predictive of high-grade pathology. While these optical markers are consistently positive in lesions with moderate/severe dysplasia or cancer, they are positive only in a subset of lesions with mild dysplasia. This study compared the gene expression profiles of lesions with mild dysplasia (stratified by optical marker status) to lesions with severe dysplasia and without dysplasia.

MATERIALS AND METHODS: Forty oral lesions imaged in patients undergoing oral surgery were analyzed: nine without dysplasia, nine with severe …

Learning From The Past: A Century Of Accuracy, Aspirations, And Aspersions In Brachytherapy, Christopher S Melhus, Samantha J Simiele, Manik Aima, Susan Richardson

Faculty, Staff and Student Publications

The oldest form of radiation therapy, brachytherapy, has been investigated and reported in the scientific and medical literature for well over a century. Known by many names over the years, radium-based, empirical practices evolved over decades to contemporary practice. This includes treatment at various dose rates using multiple radionuclides or even electrically generated photon sources. Predictions or prognostications of what may happen in the future enjoy a history that spans centuries, e.g. those by Nostradamus in the 1500s. In this review article, publications from several eras of past practice between the early 1900s and the late 2010s where the authors …

Biobehavioral Factors Predict An Exosome Biomarker Of Ovarian Carcinoma Disease Progression, Susan K Lutgendorf, Premal H Thaker, Michael J Goodheart, Jesusa M G Arevalo, Mamur A Chowdhury, Alyssa E Noble, Laila Dahmoush, George M Slavich, Frank J Penedo, Anil K Sood, Steven W Cole

Faculty, Staff and Student Publications

BACKGROUND: Biobehavioral factors such as social isolation and depression have been associated with disease progression in ovarian and other cancers. Here, the authors developed a noninvasive, exosomal RNA profile for predicting ovarian cancer disease progression and subsequently tested whether it increased in association with biobehavioral risk factors.

METHODS: Exosomes were isolated from plasma samples from 100 women taken before primary surgical resection or neoadjuvant (NACT) treatment of ovarian carcinoma and 6 and 12 months later. Biobehavioral measures were sampled at all time points. Plasma from 76 patients was allocated to discovery analyses in which morning presurgical/NACT exosomal RNA profiles were …

Distinct Germline Genetic Susceptibility Profiles Identified For Common Non-Hodgkin Lymphoma Subtypes, Sonja I Berndt, Joseph Vijai, Yolanda Benavente, Nicola J Camp, Alexandra Nieters, Zhaoming Wang, Karin E Smedby, Geffen Kleinstern, Henrik Hjalgrim, Caroline Besson, Christine F Skibola, Lindsay M Morton, Angela R Brooks-Wilson, Lauren R Teras, Charles Breeze, Joshua Arias, Hans-Olov Adami, Demetrius Albanes, Kenneth C Anderson, Stephen M Ansell, Bryan Bassig, Nikolaus Becker, Parveen Bhatti, Brenda M Birmann, Paolo Boffetta, Paige M Bracci, Paul Brennan, Elizabeth E Brown, Laurie Burdett, Lisa A Cannon-Albright, Ellen T Chang, Brian C H Chiu, Charles C Chung, Jacqueline Clavel, Pierluigi Cocco, Graham Colditz, Lucia Conde, David V Conti, David G Cox, Karen Curtin, Delphine Casabonne, Immaculata De Vivo, Arjan Diepstra, W Ryan Diver, Ahmet Dogan, Christopher K Edlund, Lenka Foretova, Joseph F Fraumeni, Attilio Gabbas, Hervé Ghesquières, Graham G Giles, Sally Glaser, Martha Glenn, Bengt Glimelius, Jian Gu, Thomas M Habermann, Christopher A Haiman, Corinne Haioun, Jonathan N Hofmann, Theodore R Holford, Elizabeth A Holly, Amy Hutchinson, Aalin Izhar, Rebecca D Jackson, Ruth F Jarrett, Rudolph Kaaks, Eleanor Kane, Laurence N Kolonel, Yinfei Kong, Peter Kraft, Anne Kricker, Annette Lake, Qing Lan, Charles Lawrence, Dalin Li, Mark Liebow, Brian K Link, Corrado Magnani, Marc Maynadie, James Mckay, Mads Melbye, Lucia Miligi, Roger L Milne, Thierry J Molina, Alain Monnereau, Rebecca Montalvan, Kari E North, Anne J Novak, Kenan Onel, Mark P Purdue, Kristin A Rand, Elio Riboli, Jacques Riby, Eve Roman, Gilles Salles, Douglas W Sborov, Richard K Severson, Tait D Shanafelt, Martyn T Smith, Alexandra Smith, Kevin W Song, Lei Song, Melissa C Southey, John J Spinelli, Anthony Staines, Deborah Stephens, Heather J Sutherland, Kaitlyn Tkachuk, Carrie A Thompson, Hervé Tilly, Lesley F Tinker, Ruth C Travis, Jenny Turner, Celine M Vachon, Claire M Vajdic, Anke Van Den Berg, David J Van Den Berg, Roel C H Vermeulen, Paolo Vineis, Sophia S Wang, Elisabete Weiderpass, George J Weiner, Stephanie Weinstein, Nicole Wong Doo, Yuanqing Ye, Meredith Yeager, Kai Yu, Anne Zeleniuch-Jacquotte, Yawei Zhang, Tongzhang Zheng, Elad Ziv, Joshua Sampson, Nilanjan Chatterjee, Kenneth Offit, Wendy Cozen, Xifeng Wu, James R Cerhan, Stephen J Chanock, Susan L Slager, Nathaniel Rothman

Faculty, Staff and Student Publications

Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9,505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P<5 >× 10−8) for subsets of NHL subtypes, …