Biomedical Informatics Commons^™

Evaluating The Impact Of An Mhealth Platform For Managing Acute Postoperative Dental Pain: Randomized Controlled Trial, Bunmi Tokede, Alfa Yansane, Ana Ibarra-Noriega, Joanna Mullins, Kristen Simmons, Nicholas Skourtes, Urvi Mehta, Sayali Tungare, David Holmes, Joel White, Muhammad Walji, Elsbeth Kalenderian

Faculty, Staff and Student Publications

BACKGROUND: Postoperative dental pain is pervasive and can affect a patient's quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient's experience of pain and using it to personalize care.

OBJECTIVE: In this study, we evaluated the use of a mobile health (mHealth) platform to collect pain-related patient-reported outcomes over 7 days after the patients underwent pain-inducing dental procedures; we then relayed the information to the dentist and determined its impact on the patient's pain experience.

METHODS: The study used a cluster-randomized experimental study design with an intervention arm where patients were prompted …

Cancer Survivors’ Health Behaviors And Outcomes: A Population-Based Study Of Sexual And Gender Minorities, Ulrike Boehmer, Shine Chang, Nelson F Sanchez, Bill M Jesdale, Matthew B Schabath

Faculty, Staff and Student Publications

BACKGROUND: Most case-control studies compare cancer survivors with general population controls without considering sexual orientation or gender identity. This case-control analysis compared health risk behaviors and health outcomes among sexual and gender minority cancer survivors to those of matched sexual and gender minority participants without cancer (controls).

METHODS: Using data from the 2014-2021 Behavioral Risk Factor Surveillance System, a population-based sample of 4507 cancer survivors who self-identified as transgender, gay men, bisexual men, lesbian women, or bisexual women were 1:1 propensity score matched, using age at survey, race and ethnicity, marital status, education, access to health care, and US census …

Blood-Based Transcriptomic Biomarkers Are Predictive Of Neurodegeneration Rather Than Alzheimer's Disease, Artur Shvetcov, Shannon Thomson, Jessica Spathos, Ann-Na Cho, Heather M Wilkins, Shea J Andrews, Fabien Delerue, Timothy A Couttas, Jasmeen Kaur Issar, Finula Isik, Simranpreet Kaur, Eleanor Drummond, Carol Dobson-Stone, Shantel L Duffy, Natasha M Rogers, Daniel Catchpoole, Wendy A Gold, Russell H Swerdlow, David A Brown, Caitlin A Finney

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an increased focus on putative, blood-based biomarkers that may be useful for the diagnosis as well as early detection of AD. In the present study, we used an unbiased combination of machine learning and functional network analyses to identify blood gene biomarker candidates in AD. Using supervised machine learning, we also determined whether these candidates were indeed unique to AD or whether they were indicative of other neurodegenerative diseases, such as …

Evolving Availability And Standardization Of Patient Attributes For Matching, Yu Deng, Lacey P Gleason, Adam Culbertson, Xiaotian Chen, Elmer V Bernstam, Theresa Cullen, Ramkiran Gouripeddi, Christopher Harle, David F Hesse, Jacob Kean, John Lee, Tanja Magoc, Daniella Meeker, Toan Ong, Jyotishman Pathak, Marc Rosenman, Laura K Rusie, Akash J Shah, Lizheng Shi, Aaron Thomas, William E Trick, Shaun Grannis, Abel Kho

Faculty, Staff and Student Publications

Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010-2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices. All sites collected name, date of birth (DOB), address, and phone number. Name, DOB, current address, social security number (SSN), sex, and phone number were most commonly used for cross-provider patient matching. Electronic health record queries for a subset of 20 participating sites revealed that DOB, first name, last name, city, and postal codes …

Social Vulnerability Of The People Exposed To Wildfires In Us West Coast States, Arash Modaresi Rad, John T Abatzoglou, Erica Fleishman, Miranda H Mockrin, Volker C Radeloff, Yavar Pourmohamad, Megan Cattau, J Michael Johnson, Philip Higuera, Nicholas J Nauslar, Mojtaba Sadegh

Faculty, Staff and Student Publications

Understanding of the vulnerability of populations exposed to wildfires is limited. We used an index from the U.S. Centers for Disease Control and Prevention to assess the social vulnerability of populations exposed to wildfire from 2000-2021 in California, Oregon, and Washington, which accounted for 90% of exposures in the western United States. The number of people exposed to fire from 2000-2010 to 2011-2021 increased substantially, with the largest increase, nearly 250%, for people with high social vulnerability. In Oregon and Washington, a higher percentage of exposed people were highly vulnerable (>40%) than in California (~8%). Increased social vulnerability of …

The Effects Of Equine-Assisted Activities On Execution Function In Children Aged 7–8 Years: A Randomized Controlled Trial, Xiaodong Cheng, Kexin Zhen, Yongzhao Fan, Qian Tang, Hao Wu

Faculty, Staff and Student Publications

BACKGROUND: This study examines the effects of equine-assisted activity (EAA) training on executive functioning (EF) (inhibitory control, working memory, and cognitive flexibility) in children aged 7-8 years.

METHODS: Twenty-Four healthy children aged 7-8 years with a 1:1 ratio of boys to girls were randomly divided into EAA group (EAAG) or control group (CG). The subjects in EAAG were trained for 12 weeks, and CG participated in normal daily activities. All subjects conducted the Flanker, 1-Back, and More-odd shifting tasks at rest and recorded the average reaction times (RTs) and accuracy data of each task.

RESULTS: After 12 weeks of EAA …

Greater Male Variability In Daily Energy Expenditure Develops Through Puberty, Lewis G Halsey, Vincent Careau, Philip N Ainslie, Heliodoro Alemán-Mateo, Lene F Andersen, Liam J Anderson, Leonore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E Blaak, Stephane Blanc, Alberto G Bonomi, Carlijn V C Bouten, Pascal Bovet, Soren Brage, Maciej S Buchowski, Nancy Butte, Stephan G Camps, Regian Casper, Graeme L Close, Lisa H Colbert, Jamie A Cooper, Richard Cooper, Prasangi Dabare, Sai Krupa Das, Peter S W Davies, Sanjoy Deb, Christine Delisle Nyström, William Dietz, Lara R Dugas, Simon Eaton, Ulf Ekelund, Asmaa El Hamdouchi, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Annelies H Goris, Michael Gurven, Hinke Haisma, Catherine Hambly, Daniel Hoffman, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek Joosen, Peter Katzmarzyk, Kitty P Kempen, Misaka Kimura, William E Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F Kushner, Estelle V Lambert, Pulani Lanerolle, Christel L Larsson, Nader Lessan, Marie Löf, Corby Martin, Eric Matsiko, Gerwin A Meijer, James C Morehen, James P Morton, Aviva Must, Marian Neuhouser, Theresa A Nicklas, Robert M Ojiambo, Kirsi H Pietilainen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Roberto Rabinovich, Susan B Racette, David A Raichen, Eric Ravussin, Leanne Redman, John J Reilly, Rebecca Reynolds, Susan Roberts, Jennifer C Rood, Dulani Samaranayake, Luís B Sardinha, Albertine J Scuitt, Analiza M Silva, Srishti Sinha, Anders M Sjödin, Eric Stice, Albert Stunkard, Samuel S Urlacher, Mauro Eduardo Valencia, Giulio Valenti, Ludo M Van Etten, Edgar A Van Mil, Jeanine A Verbunt, Jonathan C K Wells, George Wilson, Brian Wood, Tsukasa Yoshida, Xueying Zhang, Alexia Murphy-Alford, Cornelia Loechl, Amy Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Klaas R Westerterp, William W Wong, Yosuke Yamada, John R Speakman

Faculty, Staff and Student Publications

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at …

Implementing Informatics Tools With Data Management Plans For Disease Area Research, Vivek Navale, Matthew Mcauliffe

Copyright, Fair Use, Scholarly Communication, etc.

Data management plans (DMPs) are essential to a research data life cycle. The DMPs should be developed as part of the research programs to be effective. For disease area research, integrating research community-recommended data standards during collection can enhance the likelihood of data reuse. Informatics tools are required as part of DMPs with the aim of data being findable, accessible, interoperable, and reusable.

The United States National Institutes of Health supports various disease area research programs and has recently finalized the Data Management and Sharing Policy. The policy highlights the importance of sharing data and metadata, including information on various …

Cardiovascular Risk Factor Disparities In Adult Survivors Of Childhood Cancer Compared With The General Population, David H Noyd, Qi Liu, Yutaka Yasui, Eric J Chow, Smita Bhatia, Paul C Nathan, Andrew P Landstrom, Emily Tonorezos, Jacqueline Casillas, Amy Berkman, Kirsten K Ness, Daniel A Mulrooney, Wendy M Leisenring, Carrie R Howell, Jamie Shoag, Anne Kirchhoff, Rebecca M Howell, Todd M Gibson, Leah L Zullig, Gregory T Armstrong, Kevin C Oeffinger

Faculty, Staff and Student Publications

BACKGROUND: It is unknown whether a history of childhood cancer modifies the established disparities in cardiovascular risk factors (CVRFs) observed in the general population.

OBJECTIVES: We sought to determine if disparities in CVRFs by race/ethnicity are similar among childhood cancer survivors compared with the general population.

METHODS: The Childhood Cancer Survivor Study (CCSS) is a retrospective cohort with a longitudinal follow-up of 24,084 5-year survivors diagnosed between 1970 and 1999. Multivariable piecewise exponential regression estimated incidence rate ratios (IRRs) for hypertension, hyperlipidemia, diabetes, obesity, and ≥2 CVRFs by race/ethnicity. The CCSS sibling cohort and the National Health and Nutrition Examination …

Assessing Cocaine Motivational Value: Comparison Of Brain Reactivity Bias Toward Cocaine Cues And Cocaine Demand, Heather E Webber, Jin H Yoon, Constanza De Dios, Robert Suchting, Vincent Dang, Francesco Versace, Charles E Green, Margaret C Wardle, Scott D Lane, Joy M Schmitz

Faculty, Staff and Student Publications

The behavioral economic measure drug demand and the neural measure late positive potential (LPP) are two measures of motivational value that have been associated with drug relapse risk and treatment outcomes. Despite having overlapping themes, no studies have directly compared drug demand and LPP. Participants (N = 59) included treatment-seeking individuals with cocaine use disorder that had completed both a baseline cocaine demand task and an electroencephalogram (EEG) picture-viewing task of drug-related and pleasant picture cues. Associations between the LPP difference score amplitude (drug-pleasant) and five demand indices (Q₀, essential value [EV], Omax, Pmax, and …

Evaluating Approaches For Constructing Polygenic Risk Scores For Prostate Cancer In Men Of African And European Ancestry, Burcu F Darst, Jiayi Shen, Ravi K Madduri, Alexis A Rodriguez, Yukai Xiao, Xin Sheng, Edward J Saunders, Tokhir Dadaev, Mark N Brook, Thomas J Hoffmann, Kenneth Muir, Peggy Wan, Loic Le Marchand, Lynne Wilkens, Ying Wang, Johanna Schleutker, Robert J Macinnis, Cezary Cybulski, David E Neal, Børge G Nordestgaard, Sune F Nielsen, Jyotsna Batra, Judith A Clements, Australian Prostate Cancer Bioresource, Henrik Grönberg, Nora Pashayan, Ruth C Travis, Jong Y Park, Demetrius Albanes, Stephanie Weinstein, Lorelei A Mucci, David J Hunter, Kathryn L Penney, Catherine M Tangen, Robert J Hamilton, Marie-Élise Parent, Janet L Stanford, Stella Koutros, Alicja Wolk, Karina D Sørensen, William J Blot, Edward D Yeboah, James E Mensah, Yong-Jie Lu, Daniel J Schaid, Stephen N Thibodeau, Catharine M West, Christiane Maier, Adam S Kibel, Géraldine Cancel-Tassin, Florence Menegaux, Esther M John, Eli Marie Grindedal, Kay-Tee Khaw, Sue A Ingles, Ana Vega, Barry S Rosenstein, Manuel R Teixeira, Nc-La Pcap Investigators, Manolis Kogevinas, Lisa Cannon-Albright, Chad Huff, Luc Multigner, Radka Kaneva, Robin J Leach, Hermann Brenner, Ann W Hsing, Rick A Kittles, Adam B Murphy, Christopher J Logothetis, Susan L Neuhausen, William B Isaacs, Barbara Nemesure, Anselm J Hennis, John Carpten, Hardev Pandha, Kim De Ruyck, Jianfeng Xu, Azad Razack, Soo-Hwang Teo, Canary Pass Investigators, Lisa F Newcomb, Jay H Fowke, Christine Neslund-Dudas, Benjamin A Rybicki, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Dominguez, Jose Esteban Castelao, Paul A Townsend, Dana C Crawford, Gyorgy Petrovics, Graham Casey, Monique J Roobol, Jennifer F Hu, Sonja I Berndt, Stephen K Van Den Eeden, Douglas F Easton, Stephen J Chanock, Michael B Cook, Fredrik Wiklund, John S Witte, Rosalind A Eeles, Zsofia Kote-Jarai, Stephen Watya, John M Gaziano, Amy C Justice, David V Conti, Christopher A Haiman

Faculty, Staff and Student Publications

Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS269). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS269. Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and …

Who, Where, When: Colorectal Cancer Disparities By Race And Ethnicity, Subsite, And Stage, Kristin M Primm, Andrea Joyce Malabay, Taylor Curry, Shine Chang

Faculty, Staff and Student Publications

BACKGROUND: There are well-established disparities in colorectal cancer (CRC) outcomes between White and Black patients; however, assessments of CRC disparities for other racial/ethnic groups are limited.

METHODS: The Surveillance, Epidemiology, and End Results database identified patients aged 50-74 years with CRC adenocarcinoma from 2000 to 2019. Trends in age-adjusted incidence rates were computed by stage at diagnosis and subsite across five broad race/ethnic groups (White, Black, Asian/Pacific Islander [API], American Indian/Alaskan Native [AIAN], and Hispanic) and four API subgroups (East Asian, Southeast Asian, South Asian, and Pacific Islander) Multivariable logistic regression evaluated associations between race/ethnicity and diagnosis stage. Multivariable Cox …

Weakly Supervised Spatial Relation Extraction From Radiology Reports, Surabhi Datta, Kirk Roberts

Faculty, Staff and Student Publications

OBJECTIVE: Weak supervision holds significant promise to improve clinical natural language processing by leveraging domain resources and expertise instead of large manually annotated datasets alone. Here, our objective is to evaluate a weak supervision approach to extract spatial information from radiology reports.

MATERIALS AND METHODS: Our weak supervision approach is based on data programming that uses rules (or labeling functions) relying on domain-specific dictionaries and radiology language characteristics to generate weak labels. The labels correspond to different spatial relations that are critical to understanding radiology reports. These weak labels are then used to fine-tune a pretrained Bidirectional Encoder Representations from …

Using Ai-Generated Suggestions From Chatgpt To Optimize Clinical Decision Support, Siru Liu, Aileen P Wright, Barron L Patterson, Jonathan P Wanderer, Robert W Turer, Scott D Nelson, Allison B Mccoy, Dean F Sittig, Adam Wright

Faculty, Staff and Student Publications

OBJECTIVE: To determine if ChatGPT can generate useful suggestions for improving clinical decision support (CDS) logic and to assess noninferiority compared to human-generated suggestions.

METHODS: We supplied summaries of CDS logic to ChatGPT, an artificial intelligence (AI) tool for question answering that uses a large language model, and asked it to generate suggestions. We asked human clinician reviewers to review the AI-generated suggestions as well as human-generated suggestions for improving the same CDS alerts, and rate the suggestions for their usefulness, acceptance, relevance, understanding, workflow, bias, inversion, and redundancy.

RESULTS: Five clinicians analyzed 36 AI-generated suggestions and 29 human-generated suggestions …

Medicaid Expansion, Chemotherapy Delays, And Racial Disparities Among Women With Early-Stage Breast Cancer, Mariana Chavez-Macgregor, Xiudong Lei, Catalina Malinowski, Hui Zhao, Ya-Chen Shih, Sharon H Giordano

Faculty, Staff and Student Publications

BACKGROUND: Medicaid expansion under the Affordable Care Act extends eligibility for participating states and has been associated with improved outcomes by facilitating access to care. Delayed initiation of adjuvant chemotherapy is associated with worse outcomes among patients with early-stage breast cancer (BC). The impact of Medicaid expansion in narrowing delays by race and ethnicity has not been studied, to our knowledge.

METHODS: This was a population-based study using the National Cancer Database. Patients diagnosed with primary early-stage BC between 2007 and 2017 residing in states that underwent Medicaid expansion in January 2014 were included. Time to chemotherapy initiation and proportion …

Digital Health Technologies For Peripartum Depression Management Among Low-Socioeconomic Populations: Perspectives From Patients, Providers, And Social Media Channels, Alexandra Zingg, Tavleen Singh, Amy Franklin, Angela Ross, Sudhakar Selvaraj, Jerrie Refuerzo, Sahiti Myneni

Faculty, Staff and Student Publications

BACKGROUND: Peripartum Depression (PPD) affects approximately 10-15% of perinatal women in the U.S., with those of low socioeconomic status (low-SES) more likely to develop symptoms. Multilevel treatment barriers including social stigma and not having appropriate access to mental health resources have played a major role in PPD-related disparities. Emerging advances in digital technologies and analytics provide opportunities to identify and address access barriers, knowledge gaps, and engagement issues. However, most market solutions for PPD prevention and management are produced generically without considering the specialized needs of low-SES populations. In this study, we examine and portray the information and technology needs …

Evaluating The Use Of Blood Pressure Polygenic Risk Scores Across Race/Ethnic Background Groups, Nuzulul Kurniansyah, Matthew O Goodman, Alyna T Khan, Jiongming Wang, Elena Feofanova, Joshua C Bis, Kerri L Wiggins, Jennifer E Huffman, Tanika Kelly, Tali Elfassy, Xiuqing Guo, Walter Palmas, Henry J Lin, Shih-Jen Hwang, Yan Gao, Kendra Young, Gregory L Kinney, Jennifer A Smith, Bing Yu, Simin Liu, Sylvia Wassertheil-Smoller, Joann E Manson, Xiaofeng Zhu, Yii-Der Ida Chen, I-Te Lee, C Charles Gu, Donald M Lloyd-Jones, Sebastian Zöllner, Myriam Fornage, Charles Kooperberg, Adolfo Correa, Bruce M Psaty, Donna K Arnett, Carmen R Isasi, Stephen S Rich, Robert C Kaplan, Susan Redline, Braxton D Mitchell, Nora Franceschini, Daniel Levy, Jerome I Rotter, Alanna C Morrison, Tamar Sofer

Faculty, Staff and Student Publications

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs …

Piloting The Sexual And Gender Minority Cancer Curricular Advances For Research And Education (Sgm Cancer Care) Workshop: Research Training In The Service Of Sgm Cancer Health Equity, Miria Kano, Irene Tamí-Maury, Mandi L Pratt-Chapman, Shine Chang, Mikaela Kosich, Gwendolyn P Quinn, Tonia Poteat, Peter A Kanetsky, Ronit Elk, Ulrike Boehmer, Julian Sanchez, Charles Kamen, Nelson F Sanchez

Faculty, Staff and Student Publications

The purpose of this study is to describe the context, curriculum design, and pilot evaluation of the educational program "Sexual and Gender Minority Cancer Curricular Advances for Research and Education" (SGM Cancer CARE), a workshop for early-career researchers and healthcare providers interested in gaining knowledge and skills in sexual and gender minority (SGM) cancer research and healthcare advocacy. A needs assessment of a sample of clinicians and researchers (n = 104) and feedback from an Advisory Board informed the curriculum design of the SGM Cancer CARE workshop. Four SGM-tailored modules, focusing on epidemiology, clinical research, behavioral science and interventions, and …

Inferring Personalized Treatment Effect Of Antihypertensives On Alzheimer's Disease Using Deep Learning, Pulakesh Upadhyaya, Yaobin Ling, Luyao Chen, Yejin Kim, Xiaoqian Jiang

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is one of the leading causes of death in the United States, especially among the elderly. Recent studies have shown how hypertension is related to cognitive decline in elderly patients, which in turn leads to increased mortality as well as morbidity. There have been various studies that have looked at the effect of antihypertensive drugs in reducing cognitive decline, and their results have proved inconclusive. However, most of these studies assume the treatment effect is similar for all patients, thus considering only the average treatment effects of antihypertensive drugs. In this paper, we assume that the effect …

Predicting The Risk Of Alzheimer's Disease And Related Dementia In Patients With Mild Cognitive Impairment Using A Semi-Competing Risk Approach, Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, Jiang Bian

Faculty, Staff and Student Publications

Alzheimer's disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e., no symptoms but biological changes in the brain) to mild cognitive impairment (MCI) due to AD (i.e., mild symptoms but not interfere with daily activities), followed by increasing severity of dementia due to AD. Early detection and prediction models for the transition of MCI to AD/ADRD are needed, and efforts have been made to build predictions of MCI conversion to AD/ADRD. However, most existing studies …

Aibp Regulates Trpv1 Activation In Chemotherapy-Induced Peripheral Neuropathy By Controlling Lipid Raft Dynamics And Proximity To Tlr4 In Dorsal Root Ganglion Neurons, Juliana M Navia-Pelaez, Julia Borges Paes Lemes, Leonardo Gonzalez, Lauriane Delay, Luciano Dos Santos Aggum Capettini, Jenny W Lu, Gilson Gonçalves Dos Santos, Ann M Gregus, Patrick M Dougherty, Tony L Yaksh, Yury I Miller

Faculty, Staff and Student Publications

Nociceptive afferent signaling evoked by inflammation and nerve injury is mediated by the opening of ligand-gated and voltage-gated receptors or channels localized to cholesterol-rich lipid raft membrane domains. Dorsal root ganglion (DRG) nociceptors express high levels of toll-like receptor 4 (TLR4), which also localize to lipid rafts. Genetic deletion or pharmacologic blocking of TLR4 diminishes pain associated with chemotherapy-induced peripheral neuropathy (CIPN). In DRGs of mice with paclitaxel-induced CIPN, we analyzed DRG neuronal lipid rafts, expression of TLR4, activation of transient receptor potential cation channel subfamily V member 1 (TRPV1), and TLR4-TRPV1 interaction. Using proximity ligation assay, flow cytometry, and …

Meqtl Mapping In The Genoa Study Reveals Genetic Determinants Of Dna Methylation In African Americans, Lulu Shang, Wei Zhao, Yi Zhe Wang, Zheng Li, Jerome J Choi, Minjung Kho, Thomas H Mosley, Sharon L R Kardia, Jennifer A Smith, Xiang Zhou

Faculty, Staff and Student Publications

Identifying genetic variants that are associated with variation in DNA methylation, an analysis commonly referred to as methylation quantitative trait locus (meQTL) mapping, is an important first step towards understanding the genetic architecture underlying epigenetic variation. Most existing meQTL mapping studies have focused on individuals of European ancestry and are underrepresented in other populations, with a particular absence of large studies in populations with African ancestry. We fill this critical knowledge gap by performing a large-scale cis-meQTL mapping study in 961 African Americans from the Genetic Epidemiology Network of Arteriopathy (GENOA) study. We identify a total of 4,565,687 cis-acting meQTLs …

The Ethics Of Governance Of Data Analytics In Healthcare, Andrew Harrington

Electronic Theses and Dissertations

Recent literature and studies on data governance usually focus on data ethics and governance from a specific country or industry, which has been mostly business, without considering the larger global impact that is affected. Data is a worldwide asset; thus, its implications and considerations should be viewed as such. Hence, this dissertation attempts to incorporate this view by weaving together topics in healthcare, such as the blending of finance and delivery, data governance at the micro and macro levels, data analytics in healthcare, ethics of AI and information management, and technology’s impact on end-of-life practices. Through highlighting these areas of …

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …

National Cancer Control Plan Of The Korea: Current Status And The Fourth Plan (2021-2025), Kyu-Tae Han, Jae Kwan Jun, Jeong-Soo Im

Faculty, Staff and Student Publications

Cancer management has become a major policy goal for the government of the Korea. As such, the government introduced the National Cancer Control Plan (NCCP) to reduce the individual and social burdens caused by cancer and to promote national health. During the past 25 years, 3 phases of the NCCP have been completed. During this time, the NCCP has changed significantly in all aspects of cancer control from prevention to survival. The targets for cancer control are increasing, and although some blind spots remain, new demands are emerging. The government initiated the fourth NCCP in March 2021, with the vision …

One Immune System Plays Many Parts: The Dynamic Role Of The Immune System In Chronic Pain And Opioid Pharmacology, Sanam Mustafa, Juliana E Bajic, Benjamin Barry, Samuel Evans, Kariel R Siemens, Mark R Hutchinson, Peter M Grace

Faculty, Staff and Student Publications

The transition from acute to chronic pain is an ongoing major problem for individuals, society and healthcare systems around the world. It is clear chronic pain is a complex multidimensional biological challenge plagued with difficulties in pain management, specifically opioid use. In recent years the role of the immune system in chronic pain and opioid pharmacology has come to the forefront. As a highly dynamic and versatile network of cells, tissues and organs, the immune system is perfectly positioned at the microscale level to alter nociception and drive structural adaptations that underpin chronic pain and opioid use. In this review, …

Genetic Loci Of Beta-Aminoisobutyric Acid Are Associated With Aging-Related Mild Cognitive Impairment, Einat Granot-Hershkovitz, Brian Spitzer, Yunju Yang, Wassim Tarraf, Bing Yu, Eric Boerwinkle, Myriam Fornage, Thomas H Mosley, Charles Decarli, Bruce S Kristal, Hector M González, Tamar Sofer

Faculty, Staff and Student Publications

We studied the genetic associations of a previously developed Metabolomic Risk Score (MRS) for Mild Cognitive Impairment (MCI) and beta-aminoisobutyric acid metabolite (BAIBA)-the metabolite highlighted by results from a genome-wide association study (GWAS) of the MCI-MRS, and assessed their association with MCI in datasets of diverse race/ethnicities. We first performed a GWAS for the MCI-MRS and BAIBA, in Hispanic/Latino adults (n = 3890) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We identified ten independent genome-wide significant (p value <5 × 10-8) variants associated with MCI-MRS or BAIBA. Variants associated with the MCI-MRS are located in the Alanine-Glyoxylate Aminotransferase 2 (AGXT2 gene), which is known to be associated with BAIBA metabolism. Variants associated with BAIBA are located in the AGXT2 gene and in the SLC6A13 gene. Next, we tested the variants' association with MCI in independent datasets of n = 3178 HCHS/SOL older individuals, n = 3775 European Americans, and n = 1032 African Americans from the Atherosclerosis Risk In Communities (ARIC) study. Variants were considered associated with MCI if their p value <0.05 in the meta-analysis of the three datasets and their direction of association was consistent with expectation. Rs16899972 and rs37369 from the AGXT2 region were associated with MCI. Mediation analysis supported the mediation effect of BAIBA between the two genetic variants and MCI (p value = 0.004 for causal mediated effect). In summary, genetic variants in the AGXT2 region are associated with MCI in Hispanic/Latino, African, and European American populations in the USA, and their effect is likely mediated by changes in BAIBA levels.

Resolution Of Cisplatin-Induced Fatigue Does Not Require Endogenous Interleukin-10 In Male Miceb, Kiersten Scott, Nabila Boukelmoune, Cullen Taniguchi, A Phillip West, Cobi J Heijnen, Robert Dantzer

Faculty, Staff and Student Publications

Based on previous results showing a pivotal role of endogenous interleukin-10 (IL-10) in the recovery from cisplatin-induced peripheral neuropathy, the present experiments were carried out to determine whether this cytokine plays any role in the recovery from cisplatin-induced fatigue in male mice. Fatigue was measured by decreased voluntary wheel running in mice trained to run in a wheel in response to cisplatin. Mice were treated with a monoclonal neutralizing antibody (IL-10na) administered intranasally during the recovery period to neutralize endogenous IL-10. In the first experiment, mice were treated with cisplatin (2.83 mg/kg/day) for five days and IL-10na (12 μg/day for …

Increased Risk Of Dementia In Patients With Atopic Dermatitis: A Nationwide Population-Based Cohort Study, Yu Ri Woo, Minah Cho, Kyung Do Han, Sang Hyun Cho, Ji Hyun Lee

Faculty, Staff and Student Publications

Atopic dermatitis (AD) is a chronic inflammatory skin disorder with bimodal incidence peaks in early childhood and middle-aged and older adults. Few studies have focused on the risk of dementia in AD. The aims of this study were to analyse the incidence, and risk factors for dementia in patients with AD. This nationwide population-based retrospective cohort study enrolled 38,391 adults ≥ 40 years of age with AD and 2,643,602 controls without AD from the Korean National Health Insurance System (NHIS) database from 2009 to 2016. The cumulative incidence probability of all-cause dementia, Alzheimer's disease, or vascular dementia at 8 years …

Moral Injury To Inform Analysis Of Post-Traumatic Stress Disorder, Amanda Julia Manea

Senior Theses

Post-traumatic stress disorder (PTSD) is a mental health condition that almost one out of ten veterans struggle with. Although the National Center for PTSD has made extensive progress in characterizing and developing new treatments for PTSD, most veterans still experience symptoms of PTSD following treatment. Novel avenues of investigation, such as developing algorithms to review electronic health record (EHR) data and better understanding moral injury, are being pursued to address the gap that still exists when it comes to treating veterans. Moral injury is the individual evaluation of exposure to a potentially morally injurious event (PMIE) and can lead to …