Digital Commons Network^™

Lilrb2-Mediated Trem2 Signaling Inhibition Suppresses Microglia Functions, Peng Zhao, Yuanzhong Xu, Lu-Lin Jiang, Xuejun Fan, Zhiqiang Ku, Leike Li, Xiaoye Liu, Mi Deng, Hisashi Arase, Jay-Jiguang Zhu, Timothy Y Huang, Yingjun Zhao, Chengcheng Zhang, Huaxi Xu, Qingchun Tong, Ningyan Zhang, Zhiqiang An

Faculty, Staff and Student Publications

Background: Microglia plays crucial roles in Alzheimer's disease (AD) development. Triggering receptor expressed on myeloid cells 2 (TREM2) in association with DAP12 mediates signaling affecting microglia function. Here we study the negative regulation of TREM2 functions by leukocyte immunoglobulin-like receptor subfamily B member 2 (LILRB2), an inhibitory receptor bearing ITIM motifs.

Methods: To specifically interrogate LILRB2-ligand (oAβ and PS) interactions and microglia functions, we generated potent antagonistic LILRB2 antibodies with sub-nanomolar level activities. The biological effects of LILRB2 antagonist antibody (Ab29) were studied in human induced pluripotent stem cell (iPSC)-derived microglia (hMGLs) for migration, oAβ phagocytosis, and upregulation of inflammatory …

Anxiety Symptoms And Suicidal Thoughts And Behaviors Among Patients With Mood Disorders, Marsal Sanches, Linh K Nguyen, Tong Han Chung, Paul Nestadt, Holly C Wilcox, William H Coryell, Jair C Soares, Sudhakar Selvaraj

Faculty, Staff and Student Publications

Background: Though the association between anxiety disorders and suicidal behavior is well-described, the impact of anxiety symptoms on suicidal thoughts and behaviors (STB) across different mood disorders is still unclear.

Methods: We performed a registry-based retrospective study utilizing outcome measure data collected by the National Network of Depression Centers (NNDC), a nationwide nonprofit consortium of 26 leading clinical and academic member centers in the United States. The sample consisted of 2607 outpatients with mood disorders (major depressive disorder or bipolar disorders). Demographic and clinical variables were compared based on the presence or absence of STB and severity of anxiety symptoms …

Gut Dysbiosis And Age-Related Neurological Diseases In Females, Janelle M Korf, Bhanu P Ganesh, Louise D Mccullough

Faculty, Staff and Student Publications

Historically, females have been underrepresented in biological research. With increased interest in the gut microbiome and the gut-brain axis, it is important for researchers to pursue studies that consider sex as a biological variable. The composition of the gut microbiome is influenced by environmental factors, disease, diet, and varies with age and by sex. Detrimental changes in the gut microbiome, referred to as dysbiosis, is believed to influence the development and progression of age-related neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and stroke. Many are investigating the changes in microbial populations in order or to better understand …

Challenges And Opportunities For Advancing Patient-Centered Clinical Decision Support: Findings From A Horizon Scan, Prashila Dullabh, Shana F Sandberg, Krysta Heaney-Huls, Lauren S Hovey, David F Lobach, Aziz Boxwala, Priyanka J Desai, Elise Berliner, Chris Dymek, Michael I Harrison, James Swiger, Dean F Sittig

Faculty, Staff and Student Publications

OBJECTIVE: We conducted a horizon scan to (1) identify challenges in patient-centered clinical decision support (PC CDS) and (2) identify future directions for PC CDS.

MATERIALS AND METHODS: We engaged a technical expert panel, conducted a scoping literature review, and interviewed key informants. We qualitatively analyzed literature and interview transcripts, mapping findings to the 4 phases for translating evidence into PC CDS interventions (Prioritizing, Authoring, Implementing, and Measuring) and to external factors.

RESULTS: We identified 12 challenges for PC CDS development. Lack of patient input was identified as a critical challenge. The key informants noted that patient input is critical …

Case Report: Successful Treatment Of A Child With Covid-19 Reinfection-Induced Fulminant Myocarditis By Cytokine-Adsorbing Oxiris® Hemofilter Continuous Veno-Venous Hemofiltration And Extracorporeal Membrane Oxygenation, Phuc H Phan, Dung T Nguyen, Nam H Dao, Ha T T Nguyen, An V Vu, Son T Hoang, Lam V Nguyen, Tung V Cao, Dien M Tran

Faculty, Staff and Student Publications

BACKGROUND: Indirect cardiomyocyte damage-related hyperinflammatory response is one of the key mechanisms in COVID-19-induced fulminant myocarditis. In addition to the clinical benefit of using cytokines absorption hemofiltration, the effectiveness of instituting veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support for cardiac compromise has been reported. However, current literature enunciates a paucity of available data on the effectiveness of these novel modalities.

CASE PRESENTATION: We reported a 9-year-old boy with recurrent COVID-19 infection-causing fulminant myocarditis, who was treated successfully by using novel modalities of

CONCLUSION: We conclude that the novel highly-absorptive hemofilter CVVH and VA-ECMO may be effective treatment modalities in managing SARS-CoV-2-induced …

Atr-Mediated Cd47 And Pd-L1 Up-Regulation Restricts Radiotherapy-Induced Immune Priming And Abscopal Responses In Colorectal Cancer, Rodney Cheng-En Hsieh, Sunil Krishnan, Ren-Chin Wu, Akash R Boda, Arthur Liu, Michelle Winkler, Wen-Hao Hsu, Steven Hsesheng Lin, Mien-Chie Hung, Li-Chuan Chan, Krithikaa Rajkumar Bhanu, Anupallavi Srinivasamani, Ricardo Alexandre De Azevedo, Yung-Chih Chou, Ronald A Depinho, Matthew Gubin, Eduardo Vilar, Chao Hsien Chen, Ravaen Slay, Priyamvada Jayaprakash, Shweta Mahendra Hegde, Genevieve Hartley, Spencer T Lea, Rishika Prasad, Brittany Morrow, Coline Agnes Couillault, Madeline Steiner, Chun-Chieh Wang, Bhanu Prasad Venkatesulu, Cullen Taniguchi, Yon Son Betty Kim, Junjie Chen, Nils-Petter Rudqvist, Michael A Curran

Faculty, Staff and Student Publications

Radiotherapy (RT) of colorectal cancer (CRC) can prime adaptive immunity against tumor-associated antigen (TAA)-expressing CRC cells systemically. However, abscopal tumor remissions are extremely rare, and the postirradiation immune escape mechanisms in CRC remain elusive. Here, we found that irradiated CRC cells used ATR-mediated DNA repair signaling pathway to up-regulate both CD47 and PD-L1, which through engagement of SIRPα and PD-1, respectively, prevented phagocytosis by antigen-presenting cells and thereby limited TAA cross-presentation and innate immune activation. This postirradiation CD47 and PD-L1 up-regulation was observed across various human solid tumor cells. Concordantly, rectal cancer patients with poor responses to neoadjuvant RT exhibited …

Exploring School Staff Perceptions Relating To Animals And Their Involvement In Interventions To Support Mental Health, Rhoda A Leos, Paula M Cuccaro, John R Herbold, Belinda F Hernandez

Faculty, Staff and Student Publications

Given the growing awareness of the health benefits of human-animal interactions, the use of animal-assisted interventions (AAIs) in educational settings has increased over the years. While many school districts are now considering or utilizing AAIs, the literature investigating AAI-related perceptions among school stakeholders is limited with previous studies focusing on evaluating specific programs. to address this gap, a qualitative exploratory study was conducted using semi-structured interviews with school staff in the San Antonio, TX community. A total of 11 interviews were completed with staff serving preschool and elementary school age children. Data collected from interviews were analyzed using thematic analysis. …

Resistance To Targeted Therapies: Delving Into Flt3 And Idh, Sai Prasad Desikan, Naval Daver, Courtney Dinardo, Tapan Kadia, Marina Konopleva, Farhad Ravandi

Faculty, Staff and Student Publications

Recent advances in FLT3 and IDH targeted inhibition have improved response rates and overall survival in patients with mutations affecting these respective proteins. Despite this success, resistance mechanisms have arisen including mutations that disrupt inhibitor-target interaction, mutations impacting alternate pathways, and changes in the microenvironment. Here we review the role of these proteins in leukemogenesis, their respective inhibitors, mechanisms of resistance, and briefly ongoing studies aimed at overcoming resistance.

A Peptide Blocking The Adora1-Neurabin Interaction Is Anticonvulsant And Inhibits Epilepsy In An Alzheimer's Model, Shalini Saggu, Yunjia Chen, Liping Chen, Diana Pizarro, Sandipan Pati, Wen Jing Law, Lori Mcmahon, Kai Jiao, Qin Wang

Faculty, Staff and Student Publications

Epileptic seizures are common sequelae of stroke, acute brain injury, and chronic neurodegenerative diseases, including Alzheimer's disease (AD), and cannot be effectively controlled in approximately 40% of patients, necessitating the development of novel therapeutic agents. Activation of the A1 receptor (A1R) by endogenous adenosine is an intrinsic mechanism to self-terminate seizures and protect neurons from excitotoxicity. However, targeting A1R for neurological disorders has been hindered by side effects associated with its broad expression outside the nervous system. Here we aim to target the neural-specific A1R/neurabin/regulator of G protein signaling 4 (A1R/neurabin/RGS4) complex that dictates A1R signaling strength and response outcome …

Host Gut Resistome In Gulf War Chronic Multisymptom Illness Correlates With Persistent Inflammation, Dipro Bose, Somdatta Chatterjee, Ethan Older, Ratanesh Seth, Patricia Janulewicz, Punnag Saha, Ayan Mondal, Jeffrey M Carlson, Alan W Decho, Kimberly Sullivan, Nancy Klimas, Stephen Lasley, Jie Li, Saurabh Chatterjee

Faculty, Staff and Student Publications

Chronic multisymptom illness (CMI) affects a subsection of elderly and war Veterans and is associated with systemic inflammation. Here, using a mouse model of CMI and a group of Gulf War (GW) Veterans' with CMI we show the presence of an altered host resistome. Results show that antibiotic resistance genes (ARGs) are significantly altered in the CMI group in both mice and GW Veterans when compared to control. Fecal samples from GW Veterans with persistent CMI show a significant increase of resistance to a wide class of antibiotics and exhibited an array of mobile genetic elements (MGEs) distinct from normal …

Effect Of Awake Prone Positioning On Endotracheal Intubation In Patients With Covid-19 And Acute Respiratory Failure: A Randomized Clinical Trial, Waleed Alhazzani, Ken Kuljit S Parhar, Jason Weatherald, Zainab Al Duhailib, Mohammed Alshahrani, Abdulrahman Al-Fares, Sarah Buabbas, Sujith V Cherian, Laveena Munshi, Eddy Fan, Fahad Al-Hameed, Jamal Chalabi, Amera A Rahmatullah, Erick Duan, Jennifer L Y Tsang, Kimberley Lewis, François Lauzier, John Centofanti, Bram Rochwerg, Sarah Culgin, Katlynne Nelson, Sheryl Ann Abdukahil, Kirsten M Fiest, Henry T Stelfox, Haytham Tlayjeh, Maureen O Meade, Dan Perri, Kevin Solverson, Daniel J Niven, Rachel Lim, Morten Hylander Møller, Emilie Belley-Cote, Lehana Thabane, Hani Tamim, Deborah J Cook, Yaseen M Arabi, Covi-Prone Trial Investigators And The Saudi Critical Care Trials Group

Faculty, Staff and Student Publications

Importance: The efficacy and safety of prone positioning is unclear in nonintubated patients with acute hypoxemia and COVID-19.

Objective: To evaluate the efficacy and adverse events of prone positioning in nonintubated adult patients with acute hypoxemia and COVID-19.

Design, setting, and participants: Pragmatic, unblinded randomized clinical trial conducted at 21 hospitals in Canada, Kuwait, Saudi Arabia, and the US. Eligible adult patients with COVID-19 were not intubated and required oxygen (≥40%) or noninvasive ventilation. A total of 400 patients were enrolled between May 19, 2020, and May 18, 2021, and final follow-up was completed in July 2021.

Intervention: Patients were …

Mobile Health Applications For Postpartum Depression Management: A Theory-Informed Analysis Of Change-Use-Engagement (Cue) Criteria In The Digital Environment, Alexandra Zingg, Laura Carter, Deevakar Rogith, Sudhakar Selvaraj, Amy Franklin, Sahiti Myneni

Faculty, Staff and Student Publications

Postpartum Depression (PPD) is the most common childbirth complication, with approximately 15% of postpartum women experiencing depression symptoms. Mobile applications have potential to expand delivery of mental health interventions. However, our understanding of how these tools engage women with PPD and facilitate positive behavioral changes is limited. In our paper, we analyze 15 commercial PPD applications to understand their role as facilitators of change, engagement, and sustained use. Applications reviewed contained an average of four theory-based behavioral change techniques, and highest patient engagement level reached was to empower patients through patient-generated data. Heuristic violations were identified in areas including user …

Unpacking Misinfodemic During A Global Health Crisis: A Qualitative Inquiry Of Psychosocial Characteristics In Social Media Interactions, Sofia M Olivares, Sahiti Myneni

Faculty, Staff and Student Publications

The pervasiveness of health information in social media has led to a modern misinformation crisis, also known as a misinfodemic. Misinfodemics have upended public health activities as clearly evident during the COVID-19 pandemic. The objective of this study is to characterize social media content and information sources using theory-driven health behavior and psychology constructs to better understand the motifs of misinformation and their role in the dissemination of health (mis)information in Twitter posts. We analyzed 1,400 randomly selected tweets related to COVID-19 to ascertain four important variables, what is the tweet about (content), how is it structured (linguistic features), who …

Latent Linguistic Motifs In Social Media Postings Resisting Covid-19 Misinformation, Tavleen Singh, Sofia Olivares, Sahiti Myneni

Faculty, Staff and Student Publications

Social media has become a predominant source of information for many health care consumers. However, false and misleading information is a pervasive problem in this context. Specifically, health-related misinformation has become a significant public health challenge, impeding the effectiveness of public health awareness campaigns and resulting in suboptimal responsiveness to the communication of legitimate risk-related information. Little is known about the mechanisms driving the seeding and spreading of such information. In this paper, we specifically examine COVID-19 tweets which attempt to correct misinformation. We employ a mixed-methods approach comprising qualitative coding, deep learning classification, and computerized text analysis to understand …

Top-Ld: A Tool To Explore Linkage Disequilibrium With Topmed Whole-Genome Sequence Data, Le Huang, Jonathan D Rosen, Quan Sun, Jiawen Chen, Marsha M Wheeler, Ying Zhou, Yuan-I Min, Charles Kooperberg, Matthew P Conomos, Adrienne M Stilp, Stephen S Rich, Jerome I Rotter, Ani Manichaikul, Ruth J F Loos, Eimear E Kenny, Thomas W Blackwell, Albert V Smith, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Eric Boerwinkle, Laura M Raffield, Alex P Reiner, Paul L Auer, Yun Li

Faculty, Staff and Student Publications

Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project. Here, we present toP-LD, an online tool to explore LD inferred with high-coverage (∼30×) WGS data from 15,578 individuals in the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. toP-LD provides a significant upgrade compared to current LD tools, as the toPMed WGS data provide a more comprehensive representation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the specific populations that we …

Beyond The Backbone: The Next Generation Of Pathwalking Utilities For Model Building In Cryoem Density Maps, Corey F Hryc, Matthew L Baker

Faculty, Staff and Student Publications

Single-particle electron cryomicroscopy (cryoEM) has become an indispensable tool for studying structure and function in macromolecular assemblies. As an integral part of the cryoEM structure determination process, computational tools have been developed to build atomic models directly from a density map without structural templates. Nearly a decade ago, we created Pathwalking, a tool for de novo modeling of protein structure in near-atomic resolution cryoEM density maps. Here, we present the latest developments in Pathwalking, including the addition of probabilistic models, as well as a companion tool for modeling waters and ligands. This software was evaluated on the 2021 CryoEM Ligand …

Pediatric Nemaline Myopathy: A Systematic Review Using Individual Patient Data, Briana Christophers, Michael A Lopez, Vandana A Gupta, Hannes Vogel, Mary Baylies

Faculty, Staff and Student Publications

Nemaline myopathy is a skeletal muscle disease that affects 1 in 50 000 live births. The objective of this study was to develop a narrative synthesis of the findings of a systematic review of the latest case descriptions of patients with NM. A systematic search of MEDLINE, Embase, CINAHL, Web of Science, and Scopus was performed using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines using the keywords pediatric, child, NM, nemaline rod, and rod myopathy. Case studies focused on pediatric NM and published in English between January 1, 2010, and December 31, …

Interdisciplinary Patient-Centred Poststroke Care In Follow-Up After Stroke, Screening And Treatment (Fasst) Clinic Model: A Proof-Of-Concept Pilot Study, Min Sun Kim, Sean V Cleymaet, Seung Kim, Jennifer Andres, Charles Ruchalski, Yongwoo Kim, S Ausim Azizi, Anjail Z Sharrief, Imama A Naqvi

Faculty, Staff and Student Publications

BACKGROUND: Although secondary stroke prevention is important, the optimal outpatient model that improves risk factor control and decreases post-stroke complications effectively has not been established. We created Follow-up After Stroke, Screening and Treatment (FASST), an interdisciplinary clinic involving stroke physicians and pharmacists to address poststroke complications and secondary stroke prevention systemically. We present our approach to assess its proof-of-concept in our pilot study.

METHODS: We included the patients attending FASST clinic after their hospital discharge. We used validated survey screens to assess for complications: depression, anxiety, sleep disorders, cognitive impairment, disability, social support, quality of life and functional status. Data …

Prescriptions For Potentially Inappropriate Medications From The Beers Criteria Among Older Adults Hospitalized For Heart Failure, Diana Jaber, Fabian Vargas, Linh Nguyen, Joanna Ringel, Kate Zarzuela, Mahad Musse, Min Ji Kwak, Emily B Levitan, Mathew S Maurer, Mark S Lachs, Monika M Safford, Parag Goyal

Faculty, Staff and Student Publications

BACKGROUND: We sought to better understand patterns of potentially inappropriate medications (PIMs) from the Beers criteria among older adults hospitalized with heart failure (HF). This observational study of hospitalizations was derived from the geographically diverse REasons for Geographic and Racial Differences in Stroke cohort.

METHODS AND RESULTS: We examined participants aged 65 years and older with an expert-adjudicated hospitalization for HF. The Beers criteria medications were abstracted from medical records. The prevalence of PIMs was 61.1% at admission and 64.0% at discharge. Participants were taking a median of 1 PIM (interquartile range [IQR] 0-1 PIM) at hospital admission and a …

Recurrent Neural Network Models (Covrnn) For Predicting Outcomes Of Patients With Covid-19 On Admission To Hospital: Model Development And Validation Using Electronic Health Record Data, Laila Rasmy, Masayuki Nigo, Bijun Sai Kannadath, Ziqian Xie, Bingyu Mao, Khush Patel, Yujia Zhou, Wanheng Zhang, Angela Ross, Hua Xu, Degui Zhi

Faculty, Staff and Student Publications

BACKGROUND: Predicting outcomes of patients with COVID-19 at an early stage is crucial for optimised clinical care and resource management, especially during a pandemic. Although multiple machine learning models have been proposed to address this issue, because of their requirements for extensive data preprocessing and feature engineering, they have not been validated or implemented outside of their original study site. Therefore, we aimed to develop accurate and transferrable predictive models of outcomes on hospital admission for patients with COVID-19.

METHODS: In this study, we developed recurrent neural network-based models (CovRNN) to predict the outcomes of patients with COVID-19 by use …

Gdf5+ Chondroprogenitors Derived From Human Pluripotent Stem Cells Preferentially Form Permanent Chondrocytes, Azim Pothiawala, Berke E Sahbazoglu, Bryan K Ang, Nadine Matthias, Guangsheng Pei, Qing Yan, Brian R Davis, Johnny Huard, Zhongming Zhao, Naoki Nakayama

Faculty, Staff and Student Publications

It has been established in the mouse model that during embryogenesis joint cartilage is generated from a specialized progenitor cell type, distinct from that responsible for the formation of growth plate cartilage. We recently found that mesodermal progeny of human pluripotent stem cells gave rise to two types of chondrogenic mesenchymal cells in culture: SOX9+ and GDF5+ cells. The fast-growing SOX9+ cells formed in vitro cartilage that expressed chondrocyte hypertrophy markers and readily underwent mineralization after ectopic transplantation. In contrast, the slowly growing GDF5+ cells derived from SOX9+ cells formed cartilage that tended to express low to undetectable levels of …

External Validation Of A Laboratory Prediction Algorithm For The Reduction Of Unnecessary Labs In The Critical Care Setting, Linda T Li, Tongtong Huang, Elmer V Bernstam, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: Unnecessary laboratory tests contribute to iatrogenic harm and are a major source of waste in the health care system. We previously developed a machine learning algorithm to help clinicians identify unnecessary laboratory tests, but it has not been externally validated. In this study, we externally validate our machine learning algorithm.

METHODS: To externally validate the machine learning algorithm that was originally trained on the Medical Information Mart for Intensive Care (MIMIC) III database, we tested the algorithm in a separate institution. We identified and abstracted data for all patients older than 18 years admitted to the intensive care unit …

A Multi-Task Gaussian Process Self-Attention Neural Network For Real-Time Prediction Of The Need For Mechanical Ventilators In Covid-19 Patients, Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

Faculty, Staff and Student Publications

OBJECTIVE: The Coronavirus Disease 2019 (COVID-19) pandemic has overwhelmed the capacity of healthcare resources and posed a challenge for worldwide hospitals. The ability to distinguish potentially deteriorating patients from the rest helps facilitate reasonable allocation of medical resources, such as ventilators, hospital beds, and human resources. The real-time accurate prediction of a patient's risk scores could also help physicians to provide earlier respiratory support for the patient and reduce the risk of mortality.

METHODS: We propose a robust real-time prediction model for the in-hospital COVID-19 patients' probability of requiring mechanical ventilation (MV). The end-to-end neural network model incorporates the Multi-task …

Association Of Alcohol Use And Physical Activity With Body Mass Index In Mexican-Origin Adults, Natalia I Heredia, Qiong Dong, Shine Chang, Lorna H Mcneill

Faculty, Staff and Student Publications

BACKGROUND: Studies across racial/ethnic groups indicate that physical activity (PA) and alcohol consumption are positively associated, and that alcohol consumption is negatively associated with body mass index (BMI), but this relationship is less often evaluated in Hispanics. The purpose of this study was to assess the relationships between alcohol consumption, PA, and BMI in Hispanic adults.

METHODS: In this secondary data analysis of a Mexican-American cohort, we collected self-reported PA, alcohol consumption, and demographics, and measured height and weight. Linear regression assessed the association between PA and alcohol consumption with BMI, controlling for covariates. Total sample for analyses was n …

External Validation Of A Model Determining Risk Of Neoplastic Progression Of Barrett’S Esophagus In A Cohort Of Us Veterans, Theresa H Nguyen, Aaron P Thrift, Gyanprakash A Ketwaroo, Xianglin L Du, Luis Leon Novelo, Rollin George, Daniel G Rosen, Hashem B El-Serag

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk of esophageal adenocarcinoma (EAC) in those with Barrett's esophagus (BE) is 11-fold greater than the general population. It remains unclear which BE patients are at highest risk of progression to EAC. We aimed to validate a predictive model risk-stratifying BE patients.

METHODS: We conducted a retrospective cohort study at the Houston Veteran Affairs Medical Center of consecutive patients with a new diagnosis of BE from November 1990 to January 2019. Study follow-up was through February 2020. Patients were excluded if they had no follow-up EGD with esophageal biopsy sampling after the initial BE-diagnosing EGD or evidence …

Assessing The Established Competency Categories Of The Biosafety, Infection Prevention, And Public Health Professions: A Guide For Addressing Needed Professional Development Training For The Current And Next Pandemic, Robert J Emery, Scott J Patlovich, Kristin G King, John M Lowe, Janelle Rios

Faculty, Staff and Student Publications

A recent series of widespread infectious disease outbreaks has highlighted commonalities and differences between three key professions that operate on the front lines of response in support of research and/or direct healthcare providers: biosafety, infection prevention, and public health. This assessment, which builds upon previous study by the authors, examines the stated professional competency categories for these three areas, highlighting similarities and differences. This assessment is important as these professions are being drawn together in an operational environment driven by the current pandemic and inevitably future disease outbreaks. Cross-training opportunities for the various professions are proposed.

Responding To Natural And Industrial Disasters: Partnerships And Lessons Learned, Elaine Symanski, Heyreoun An Han, Inkyu Han, Michelle Mcdaniel, Kristina W Whitworth, Sheryl Mccurdy, William Brett Perkison, Amal Rammah, P Grace Tee Lewis, George L Delclos, Elena Craft, Melissa Bondy, Cheryl Lyn Walker, Loren Hopkins, José Guillermo Cedeño Laurent, Daisy James

Faculty, Staff and Student Publications

OBJECTIVES: The aim of this study was to provide insights learned from disaster research response (DR2) efforts following Hurricane Harvey in 2017 to launch DR2 activities following the Intercontinental Terminals Company (ITC) fire in Deer Park, Texas, in 2019.

METHODS: A multidisciplinary group of academic, community, and government partners launched a myriad of DR2 activities.

RESULTS: The DR2 response to Hurricane Harvey focused on enhancing environmental health literacy around clean-up efforts, measuring environmental contaminants in soil and water in impacted neighborhoods, and launching studies to evaluate the health impact of the disaster. The lessons learned after Harvey enabled rapid DR2 …

External Validation Of A Model Determining Risk Of Neoplastic Progression Of Barrett's Esophagus In A Cohort Of Us Veterans, Theresa H Nguyen, Aaron P Thrift, Gyanprakash A Ketwaroo, Xianglin L Du, Luis Leon Novelo, Rollin George, Daniel G Rosen, Hashem B El-Serag

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk of esophageal adenocarcinoma (EAC) in those with Barrett's esophagus (BE) is 11-fold greater than the general population. It remains unclear which BE patients are at highest risk of progression to EAC. We aimed to validate a predictive model risk-stratifying BE patients.

METHODS: We conducted a retrospective cohort study at the Houston Veteran Affairs Medical Center of consecutive patients with a new diagnosis of BE from November 1990 to January 2019. Study follow-up was through February 2020. Patients were excluded if they had no follow-up EGD with esophageal biopsy sampling after the initial BE-diagnosing EGD or evidence …

Integrative Analysis Of Clinical And Epigenetic Biomarkers Of Mortality, Tianxiao Huan, Steve Nguyen, Elena Colicino, Carolina Ochoa-Rosales, W David Hill, Jennifer A Brody, Mette Soerensen, Yan Zhang, Antoine Baldassari, Mohamed Ahmed Elhadad, Tanaka Toshiko, Yinan Zheng, Arce Domingo-Relloso, Dong Heon Lee, Jiantao Ma, Chen Yao, Chunyu Liu, Shih-Jen Hwang, Roby Joehanes, Myriam Fornage, Jan Bressler, Joyce B J Van Meurs, Birgit Debrabant, Jonas Mengel-From, Jacob Hjelmborg, Kaare Christensen, Pantel Vokonas, Joel Schwartz, Sina A Gahrib, Nona Sotoodehnia, Colleen M Sitlani, Sonja Kunze, Christian Gieger, Annette Peters, Melanie Waldenberger, Ian J Deary, Luigi Ferrucci, Yishu Qu, Philip Greenland, Donald M Lloyd-Jones, Lifang Hou, Stefania Bandinelli, Trudy Voortman, Brenner Hermann, Andrea Baccarelli, Eric Whitsel, James S Pankow, Daniel Levy

Faculty, Staff and Student Publications

DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10

Regularized Regression On Compositional Trees With Application To Mri Analysis, Bingkai Wang, Brian S Caffo, Xi Luo, Chin-Fu Liu, Andreia V Faria, Michael I Miller, Yi Zhao

Faculty, Staff and Student Publications

A compositional tree refers to a tree structure on a set of random variables where each random variable is a node and composition occurs at each non-leaf node of the tree. As a generalization of compositional data, compositional trees handle more complex relationships among random variables and appear in many disciplines, such as brain imaging, genomics and finance. We consider the problem of sparse regression on data that are associated with a compositional tree and propose a transformation-free tree-based regularized regression method for component selection. The regularization penalty is designed based on the tree structure and encourages a sparse tree …