Digital Commons Network^™

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 …

Predictive Performance Of Different Ntcp Techniques For Radiation-Induced Esophagitis In Nsclc Patients Receiving Proton Radiotherapy, Mei Chen, Zeming Wang, Shengpeng Jiang, Jian Sun, Li Wang, Narayan Sahoo, G Brandon Gunn, Steven J Frank, Cheng Xu, Jiayi Chen, Quynh-Nhu Nguyen, Joe Y Chang, Zhongxing Liao, X Ronald Zhu, Xiaodong Zhang

Faculty, Staff and Student Publications

This study aimed to compare the predictive performance of different modeling methods in developing normal tissue complication probability (NTCP) models for predicting radiation-induced esophagitis (RE) in non-small cell lung cancer (NSCLC) patients receiving proton radiotherapy. The dataset was composed of 328 NSCLC patients receiving passive-scattering proton therapy and 41.6% of the patients experienced ≥ grade 2 RE. Five modeling methods were used to build NTCP models: standard Lyman-Kutcher-Burman (sLKB), generalized LKB (gLKB), multivariable logistic regression using two variable selection procedures-stepwise forward selection (Stepwise-MLR), and least absolute shrinkage and selection operator (LASSO-MLR), and support vector machines (SVM). Predictive performance was internally …

Precision Combination Therapies Based On Recurrent Oncogenic Coalterations, Xubin Li, Elisabeth K Dowling, Gonghong Yan, Zeynep Dereli, Behnaz Bozorgui, Parisa Imanirad, Jacob H Elnaggar, Augustin Luna, David G Menter, Patrick G Pilié, Timothy A Yap, Scott Kopetz, Chris Sander, Anil Korkut

Faculty, Staff and Student Publications

UNLABELLED: Cancer cells depend on multiple driver alterations whose oncogenic effects can be suppressed by drug combinations. Here, we provide a comprehensive resource of precision combination therapies tailored to oncogenic coalterations that are recurrent across patient cohorts. To generate the resource, we developed Recurrent Features Leveraged for Combination Therapy (REFLECT), which integrates machine learning and cancer informatics algorithms. Using multiomic data, the method maps recurrent coalteration signatures in patient cohorts to combination therapies. We validated the REFLECT pipeline using data from patient-derived xenografts, in vitro drug screens, and a combination therapy clinical trial. These validations demonstrate that REFLECT-selected combination therapies …

Identification Of Functional Heterogeneity Of Carcinoma-Associated Fibroblasts With Distinct Il6-Mediated Therapy Resistance In Pancreatic Cancer, Kathleen M Mcandrews, Yang Chen, J Kebbeh Darpolor, Xiaofeng Zheng, Sujuan Yang, Julienne L Carstens, Bingrui Li, Huamin Wang, Toru Miyake, Pedro Correa De Sampaio, Michelle L Kirtley, Mariangela Natale, Chia-Chin Wu, Hikaru Sugimoto, Valerie S Lebleu, Raghu Kalluri

Faculty, Staff and Student Publications

The tumor microenvironment in pancreatic ductal adenocarcinoma (PDAC) involves a significant accumulation of fibroblasts as part of the host response to cancer. Employing single-cell RNA-sequencing, multiplex immunostaining, and several genetic mouse models, we identify carcinoma-associated fibroblasts (CAFs) with opposing functions in PDAC progression. Depletion of fibroblast activation protein (FAP)+ CAFs results in increased survival, in contrast to depletion of alpha smooth muscle actin (αSMA)+ CAFs that leads to decreased survival. Tumor-promoting FAP+ CAFs (TP-CAFs) and tumor-restraining αSMA+ CAFs (TR-CAFs) differentially regulate cancer-associated pathways and accumulation of Tregs. Improved efficacy of gemcitabine is observed when IL-6 is deleted from αSMA+ CAFs …

Pathological Response And Immune Biomarker Assessment In Non-Small-Cell Lung Carcinoma Receiving Neoadjuvant Immune Checkpoint Inhibitors, Frank Rojas, Edwin Roger Parra, Ignacio Ivan Wistuba, Cara Haymaker, Luisa Maren Solis Soto

Faculty, Staff and Student Publications

Lung cancer is the leading cause of cancer incidence and mortality worldwide. Adjuvant and neoadjuvant chemotherapy have been used in the perioperative setting of non-small-cell carcinoma (NSCLC); however, the five-year survival rate only improves by about 5%. Neoadjuvant treatment with immune checkpoint inhibitors (ICIs) has become significant due to improved survival in advanced NSCLC patients treated with immunotherapy agents. The assessment of pathology response has been proposed as a surrogate indicator of the benefits of neaodjuvant therapy. An outline of recommendations has been published by the International Association for the Study of Lung Cancer (IASLC) for the evaluation of pathologic …

Structural Characterization Of Dicyanopyridine Containing Dnmt1-Selective, Non-Nucleoside Inhibitors, John R Horton, Sarath Pathuri, Kristen Wong, Ren Ren, Lourdes Rueda, David T Fosbenner, Dirk A Heerding, Michael T Mccabe, Melissa B Pappalardi, Xing Zhang, Bryan W King, Xiaodong Cheng

Faculty, Staff and Student Publications

DNMT1 maintains the parental DNA methylation pattern on newly replicated hemimethylated DNA. The failure of this maintenance process causes aberrant DNA methylation that affects transcription and contributes to the development and progression of cancers such as acute myeloid leukemia. Here, we structurally characterized a set of newly discovered DNMT1-selective, reversible, non-nucleoside inhibitors that bear a core 3,5-dicyanopyridine moiety, as exemplified by GSK3735967, to better understand their mechanism of inhibition. All of the dicyanopydridine-containing inhibitors examined intercalate into the hemimethylated DNA between two CpG base pairs through the DNA minor groove, resulting in conformational movement of the DNMT1 active-site loop. In …

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 …

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 …

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 …

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 …

Gene-Lifestyle Interactions In The Genomics Of Human Complex Traits, Vincent Laville, Timothy Majarian, Yun J Sung, Karen Schwander, Mary F Feitosa, Daniel I Chasman, Amy R Bentley, Charles N Rotimi, L Adrienne Cupples, Paul S De Vries, Michael R Brown, Alanna C Morrison, Aldi T Kraja, Mike Province, C Charles Gu, W James Gauderman, Charge Gene-Lifestyle Interactions Working Group, D C Rao, Alisa K Manning, Hugues Aschard

Faculty, Staff and Student Publications

The role and biological significance of gene-environment interactions in human traits and diseases remain poorly understood. To address these questions, the CHARGE Gene-Lifestyle Interactions Working Group conducted series of genome-wide interaction studies (GWIS) involving up to 610,475 individuals across four ancestries for three lipids and four blood pressure traits, while accounting for interaction effects with drinking and smoking exposures. Here we used GWIS summary statistics from these studies to decipher potential differences in genetic associations and G×E interactions across phenotype-exposure-ancestry combinations, and to derive insights on the potential mechanistic underlying G×E through in-silico functional analyses. Our analyses show first that …

Multi-Phenotype Analyses Of Hemostatic Traits With Cardiovascular Events Reveal Novel Genetic Associations, Gerard Temprano-Sagrera, Colleen M Sitlani, William P Bone, Miguel Martin-Bornez, Benjamin F Voight, Alanna C Morrison, Scott M Damrauer, Paul S De Vries, Nicholas L Smith, Maria Sabater-Lleal

Faculty, Staff and Student Publications

BACKGROUND: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes.

OBJECTIVES: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events.

METHODS: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen …

Hiv Response Interventions That Integrate Hiv Molecular Cluster And Social Network Analysis: A Systematic Review, Daniel J Gore, Kellie Schueler, Santhoshini Ramani, Arno Uvin, Gregory Phillips, Moira Mcnulty, Kayo Fujimoto, John Schneider

Faculty, Staff and Student Publications

Due to improved efficiency and reduced cost of viral sequencing, molecular cluster analysis can be feasibly utilized alongside existing human immunodeficiency virus (HIV) prevention strategies. The goal of this paper is to elucidate how HIV molecular cluster and social network analyses are being integrated to implement HIV response interventions. We searched PubMed, Scopus, PsycINFO, and Cochrane Library databases for studies incorporating both HIV molecular cluster and social network data. We identified 32 articles that combined analyses of HIV molecular sequences and social or sexual networks. All studies were descriptive. Six studies described network interventions informed by molecular and social data …

Understanding Implementation Strategies To Support Classroom-Based Physical Activity Approaches In Elementary Schools: A Qualitative Study, Timothy J Walker, Jacob Szeszulski, Michael C Robertson, Paula M Cuccaro, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Classroom-based physical activity approaches can improve children's physical activity levels during school. However, the implementation of these approaches remains a challenge. The purpose of this study was to examine implementation strategies to support the delivery of classroom-based physical activity approaches from the perspectives of elementary school staff.

METHODS: We conducted individual interviews with elementary school staff from a mid-sized school district in Texas. Interviews lasted approximately 60 min and were audio recorded and transcribed for analyses. We used directed content analysis and an iterative categorization approach to identify emerging themes related to implementation strategies.

RESULTS: We interviewed 15 participants …

Midlife Determinants Of Healthy Cardiovascular Aging: The Atherosclerosis Risk In Communities (Aric) Study, Xiaoming Jia, Caroline Sun, Vijay Nambi, Salim S Virani, George Taffet, Eric Boerwinkle, Jan Bressler, Chiadi Ndumele, B Gwen Windham, James A De Lemos, Kunihiro Matsushita, John William Mcevoy, Ron C Hoogeveen, Elizabeth Selvin, Christie M Ballantyne

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: Risk factor cutoffs are derived from associations with clinical cardiovascular disease (CVD), but how these risk factors associate with preserved cardiovascular health into old age is not well studied. We investigated midlife determinants of healthy versus nonhealthy cardiovascular aging in the Atherosclerosis Risk in Communities (ARIC) study.

METHODS: ARIC participants were categorized by cardiovascular status in older age (mean age 75.8 ± 5.3 years, range 66-90): healthy, subclinical disease (assessed by biomarkers and left ventricular function), clinical CVD (coronary heart disease, stroke, or heart failure), or prior death. We examined associations of midlife (mean age 52.1 ± …

Better Care For Older Hispanics: Identifying Priorities And Harmonizing Care, Rafael Samper-Ternent, Mary Tinetti, Lee A Jennings, Rebeca Wong, Jennifer Arney, Aanand D Naik

Faculty, Staff and Student Publications

No abstract provided.

Assessment Of Oral And Overall Health Parameters Using The Sillha Oral Wellness System, Shawn S Adibi, Ryan Hanson, David F Fray, Tania Abedi, Brianna Neil, Danielle Maher, Gena Tribble, Ben F Warner, Mary C Farach-Carson

Faculty, Staff and Student Publications

OBJECTIVE: The study evaluated use of a multipoint saliva analyzer to assess patient wellness in a contemporary dental practice setting.

STUDY DESIGN: Unstimulated saliva from a diverse 104 patient cohort was analyzed using the SillHa Oral Wellness System. The device measures the following 7 analytes present in the patient's oral rinse: cariogenic bacteria, acidity, buffer capacity, blood, leukocytes, protein, and ammonia. Data obtained were compared with validated clinical assessment data independently provided by credentialed dental professionals.

RESULTS: Measured leukocyte and protein levels were higher in patients with periodontal disease and/or deep gingival pockets. Patients with a history of cancer and/or …

Host And Gut Microbial Tryptophan Metabolism And Type 2 Diabetes: An Integrative Analysis Of Host Genetics, Diet, Gut Microbiome And Circulating Metabolites In Cohort Studies, Qibin Qi, Jun Li, Bing Yu, Jee-Young Moon, Jin C Chai, Jordi Merino, Jie Hu, Miguel Ruiz-Canela, Casey Rebholz, Zheng Wang, Mykhaylo Usyk, Guo-Chong Chen, Bianca C Porneala, Wenshuang Wang, Ngoc Quynh Nguyen, Elena V Feofanova, Megan L Grove, Thomas J Wang, Robert E Gerszten, Josée Dupuis, Jordi Salas-Salvadó, Wei Bao, David L Perkins, Martha L Daviglus, Bharat Thyagarajan, Jianwen Cai, Tao Wang, Joann E Manson, Miguel A Martínez-González, Elizabeth Selvin, Kathryn M Rexrode, Clary B Clish, Frank B Hu, James B Meigs, Rob Knight, Robert D Burk, Eric Boerwinkle, Robert C Kaplan

Faculty, Staff and Student Publications

OBJECTIVE: Tryptophan can be catabolised to various metabolites through host kynurenine and microbial indole pathways. We aimed to examine relationships of host and microbial tryptophan metabolites with incident type 2 diabetes (T2D), host genetics, diet and gut microbiota.

METHOD: We analysed associations between circulating levels of 11 tryptophan metabolites and incident T2D in 9180 participants of diverse racial/ethnic backgrounds from five cohorts. We examined host genome-wide variants, dietary intake and gut microbiome associated with these metabolites.

RESULTS: Tryptophan, four kynurenine-pathway metabolites (kynurenine, kynurenate, xanthurenate and quinolinate) and indolelactate were positively associated with T2D risk, while indolepropionate was inversely associated with …

On The Front Lines Of The Covid-19 Pandemic: Occupational Experiences Of The Intimate Partner Violence And Sexual Assault Workforce, Leila Wood, Rachel Voth Schrag, Elizabeth Baumler, Dixie Hairston, Shannon Guillot-Wright, Elizabeth Torres, Jeff R Temple

Faculty, Staff and Student Publications

In the face of increasing risk for intimate partner violence (IPV) and sexual assault during the COVID-19 pandemic, there is an urgent need to understand the experiences of the workforce providing support to survivors, as well as the evolving service delivery methods, shifting safety planning approaches, and occupational stress of frontline workers. We addressed this gap by conducting an online survey of members of IPV and sexual assault workforce using a broad, web-based recruitment strategy. In total, 352 staff from 24 states participated. We collaborated with practitioner networks and anti-violence coalitions to develop the brief survey, which included questions about …