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Understanding The Implications Of Under-Reporting, Vaccine Efficiency And Social Behavior On The Post-Pandemic Spread Using Physics Informed Neural Networks: A Case Study Of China, Samiran Ghosh, Alonso Ogueda-Oliva, Aditi Ghosh, Malay Banerjee, Padmanabhan Seshaiyer

Faculty, Staff and Student Publications

In late 2019, the emergence of COVID-19 in Wuhan, China, led to the implementation of stringent measures forming the zero-COVID policy aimed at eliminating transmission. Zero-COVID policy basically aimed at completely eliminating the transmission of COVID-19. However, the relaxation of this policy in late 2022 reportedly resulted in a rapid surge of COVID-19 cases. The aim of this work is to investigate the factors contributing to this outbreak using a new SEIR-type epidemic model with time-dependent level of immunity. Our model incorporates a time-dependent level of immunity considering vaccine doses administered and time-post-vaccination dependent vaccine efficacy. We find that vaccine …

A Satellite-Driven Model To Estimate Long-Term Particulate Sulfate Levels And Attributable Mortality Burden In China, Xia Meng, Yun Hang, Xiuran Lin, Tiantian Li, Tijian Wang, Junji Cao, Qingyan Fu, Sagnik Dey, Kan Huang, Fengchao Liang, Haidong Kan, Xiaoming Shi, Yang Liu

Faculty, Staff and Student Publications

Ambient fine particulate matter (PM

Transcription Factor E2f1 Regulates The Expression Of Adrb2, Juan Du, Feifei Rui, Zhongfen Hao, Yun Hang, Jin Shu

Faculty, Staff and Student Publications

Adrenergic beta-2-receptor (ADRB2) is highly expressed in various tissue cells, affecting the susceptibility, development, and drug efficacy of diseases such as bronchial asthma and malignant tumor. However, the transcriptional regulatory mechanism of the human ADRB2 gene remains unclear. This study aimed to clarify whether E2F transcription factor 1 (E2F1) was involved in the transcriptional regulation of the human ADRB2 gene. First, the 5' flanking region of the human ADRB2 gene was cloned, and its activity was detected using A549 and BEAS-2B cells. Second, it was found that the overexpression of E2F1 could increase promoter activity by a dual-luciferase reporter gene …

Whole Genome Sequence Analysis Of Apparent Treatment Resistant Hypertension Status In Participants From The Trans-Omics For Precision Medicine Program, Nicole D Armstrong, Vinodh Srinivasasainagendra, Farah Ammous, Themistocles L Assimes, Amber L Beitelshees, Jennifer Brody, Brian E Cade, Yii-Der Ida Chen, Han Chen, Paul S De Vries, James S Floyd, Nora Franceschini, Xiuqing Guo, Jacklyn N Hellwege, John S House, Chii-Min Hwu, Sharon L R Kardia, Ethan M Lange, Leslie A Lange, Caitrin W Mcdonough, May E Montasser, Jeffrey R O'Connell, Megan M Shuey, Xiao Sun, Rikki M Tanner, Zhe Wang, Wei Zhao, April P Carson, Todd L Edwards, Tanika N Kelly, Eimear E Kenny, Charles Kooperberg, Ruth J F Loos, Alanna C Morrison, Alison Motsinger-Reif, Bruce M Psaty, Dabeeru C Rao, Susan Redline, Stephen S Rich, Jerome I Rotter, Jennifer A Smith, Albert V Smith, Marguerite R Irvin, Donna K Arnett

Faculty, Staff and Student Publications

Introduction: Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data.

Methods: Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP ≥ 140 or diastolic BP ≥ 90 mmHg, or four or more medications regardless of BP (n = 1,705). A normotensive control group was defined as individuals with BP < 140/90 mmHg (n = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90 mmHg (n = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American).

Results: One variant in …

Fakestack: Hierarchical Tri-Bert-Cnn-Lstm Stacked Model For Effective Fake News Detection, Ashfia Jannat Keya, Hasibul Hossain Shajeeb, Md Saifur Rahman, M F Mridha

Faculty, Staff and Student Publications

False news articles pose a serious challenge in today's information landscape, impacting public opinion and decision-making. Efforts to counter this issue have led to research in deep learning and machine learning methods. However, a gap exists in effectively using contextual cues and skip connections within models, limiting the development of comprehensive detection systems that harness contextual information and vital data propagation. Thus, we propose a model of deep learning, FakeStack, in order to identify bogus news accurately. The model combines the power of pre-trained Bidirectional Encoder Representation of Transformers (BERT) embeddings with a deep Convolutional Neural Network (CNN) having skip …

Automated Type 2 Diabetes Case And Control Identification From The Mimic-Iv Database, Wanheng Zhang, Tru Cao

Faculty, Staff and Student Publications

Phenotyping for Type 2 Diabetes (T2DM) is needed due to the increasing demand for T2DM research on electronic health records (EHRs). eMERGE is a reliable and interpretable rule-based algorithm for the identification of T2DM cases and controls in EHRs. MIMIC-IV, an extension of MIMIC-III, contains more than 520,000 hospital admissions and has become a valuable EHR database for secondary medical research. However, there was no prior work to extract T2DM cases and controls from MIMIC-IV, which requires a comprehensive knowledge of the database. Our work provided insight into the structure and data elements in MIMIC-IV and adapted eMERGE to accomplish …

P120-Catenin Subfamily Members Have Distinct As Well As Shared Effects On Dendrite Morphology During Neuron Development In Vitro, Maxsam S Donta, Yogesh Srivastava, Christina M Di Mauro, Adriana Paulucci-Holthauzen, M Neal Waxham, Pierre D Mccrea

Faculty, Staff and Student Publications

Dendritic arborization is essential for proper neuronal connectivity and function. Conversely, abnormal dendrite morphology is associated with several neurological pathologies like Alzheimer's disease and schizophrenia. Among major intrinsic mechanisms that determine the extent of the dendritic arbor is cytoskeletal remodeling. Here, we characterize and compare the impact of the four proteins involved in cytoskeletal remodeling-vertebrate members of the p120-catenin subfamily-on neuronal dendrite morphology. In relation to each of their own distributions, we find that p120-catenin and delta-catenin are expressed at relatively higher proportions in growth cones compared to ARVCF-catenin and p0071-catenin; ARVCF-catenin is expressed at relatively high proportions in the …

Age And Sex-Specific Stroke Epidemiology In Covid-19, Youngran Kim, Maria A Parekh, Xiaojin Li, Yan Huang, Guo-Qiang Zhang, Bharti Manwani

Faculty, Staff and Student Publications

BACKGROUND: COVID-19 has emerged as an independent risk factor for stroke. We aimed to determine age and sex-specific stroke incidence and risk factors with COVID-19 in the US using a large electronic health record (EHR) that included both inpatients and outpatients.

METHODS: A retrospective cohort study was conducted using individual-level data from Optum

RESULTS: Of 387,330 COVID-19 patients, 2,752 patients (0.71%, 95% CI 0.68-0.74) developed stroke during the 180-day follow-up, AIS in 0.65% (95% CI 0.62-0.67), and ICH in 0.11% (95% CI 0.10-0.12). Of strokes among COVID-19 patients, 57% occurred within 3 days. Advanced age was associated with a substantially …

Proteomic Analysis Of Diabetes Genetic Risk Scores Identifies Complement C2 And Neuropilin-2 As Predictors Of Type 2 Diabetes: The Atherosclerosis Risk In Communities (Aric) Study, Brian T Steffen, Weihong Tang, Pamela L Lutsey, Ryan T Demmer, Elizabeth Selvin, Kunihiro Matsushita, Alanna C Morrison, Weihua Guan, Mary R Rooney, Faye L Norby, Nathan Pankratz, David Couper, James S Pankow

Faculty, Staff and Student Publications

AIMS/HYPOTHESIS: Genetic predisposition to type 2 diabetes is well-established, and genetic risk scores (GRS) have been developed that capture heritable liabilities for type 2 diabetes phenotypes. However, the proteins through which these genetic variants influence risk have not been thoroughly investigated. This study aimed to identify proteins and pathways through which type 2 diabetes risk variants may influence pathophysiology.

METHODS: Using a proteomics data-driven approach in a discovery sample of 7241 White participants in the Atherosclerosis Risk in Communities Study (ARIC) cohort and a replication sample of 1674 Black ARIC participants, we interrogated plasma levels of 4870 proteins and four …

Effect Of "Maccog" Tcm Tea On Improving Glucolipid Metabolism And Gut Microbiota In Patients With Type 2 Diabetes In Community, Biyue Hu, Tongtong Yin, Jiajia Zhang, Minjing Liu, Hang Yun, Jian Wang, Renmei Guo, Jie Huang, Yixia Zhou, Hongyan Meng, Li Wang

Faculty, Staff and Student Publications

OBJECTIVES: This work aimed to observe the effect of consuming Chinese herb tea on glucolipid metabolism and gut microbiota in patients with type 2 diabetes mellitus (T2DM).

METHODS: Ninety patients with T2DM were recruited from a community and randomly divided into the control group (CG) and intervention group (IG). CG maintained conventional treatment and lifestyle, and IG accepted additional "maccog" traditional Chinese medicine (TCM) tea (mulberry leaf, radix astragali, corn stigma, cortex lycii, radix ophiopogonis, and gynostemma) for 12 weeks. Glucolipid metabolism, hepatorenal function, and gut microbiota were then measured.

RESULTS: After the intervention, the decreases in fasting plasma glucose …

Large-Scale Exome Array Summary Statistics Resources For Glycemic Traits To Aid Effector Gene Prioritization, Sara M Willems, Natasha H J Ng, Juan Fernandez, Rebecca S Fine, Eleanor Wheeler, Jennifer Wessel, Hidetoshi Kitajima, Gaelle Marenne, Xueling Sim, Hanieh Yaghootkar, Shuai Wang, Sai Chen, Yuning Chen, Yii-Der Ida Chen, Niels Grarup, Ruifang Li-Gao, Tibor V Varga, Jennifer L Asimit, Shuang Feng, Rona J Strawbridge, Erica L Kleinbrink, Tarunveer S Ahluwalia, Ping An, Emil V Appel, Dan E Arking, Juha Auvinen, Lawrence F Bielak, Nathan A Bihlmeyer, Jette Bork-Jensen, Jennifer A Brody, Archie Campbell, Audrey Y Chu, Gail Davies, Ayse Demirkan, James S Floyd, Franco Giulianini, Xiuqing Guo, Stefan Gustafsson, Anne U Jackson, Johanna Jakobsdottir, Marjo-Riitta Järvelin, Richard A Jensen, Stavroula Kanoni, Sirkka Keinanen-Kiukaanniemi, Man Li, Yingchang Lu, Jian'an Luan, Alisa K Manning, Jonathan Marten, Karina Meidtner, Dennis O Mook-Kanamori, Taulant Muka, Giorgio Pistis, Bram Prins, Kenneth M Rice, Serena Sanna, Albert Vernon Smith, Jennifer A Smith, Lorraine Southam, Heather M Stringham, Vinicius Tragante, Sander W Van Der Laan, Helen R Warren, Jie Yao, Andrianos M Yiorkas, Weihua Zhang, Wei Zhao, Mariaelisa Graff, Heather M Highland, Anne E Justice, Eirini Marouli, Carolina Medina-Gomez, Saima Afaq, Wesam A Alhejily, Najaf Amin, Folkert W Asselbergs, Lori L Bonnycastle, Michiel L Bots, Ivan Brandslund, Ji Chen, John Danesh, Renée De Mutsert, Abbas Dehghan, Tapani Ebeling, Paul Elliott, Epic-Interact Consortium, Aliki-Eleni Farmaki, Jessica D Faul, Paul W Franks, Steve Franks, Andreas Fritsche, Anette P Gjesing, Mark O Goodarzi, Vilmundur Gudnason, Göran Hallmans, Tamara B Harris, Karl-Heinz Herzig, Marie-France Hivert, Torben Jørgensen, Marit E Jørgensen, Pekka Jousilahti, Eero Kajantie, Maria Karaleftheri, Sharon L R Kardia, Leena Kinnunen, Heikki A Koistinen, Pirjo Komulainen, Peter Kovacs, Johanna Kuusisto, Markku Laakso, Leslie A Lange, Lenore J Launer, Aaron Leong, Jaana Lindström, Jocelyn E Manning Fox, Satu Männistö, Nisa M Maruthur, Leena Moilanen, Antonella Mulas, Mike A Nalls, Matthew Neville, James S Pankow, Alison Pattie, Eva R B Petersen, Hannu Puolijoki, Asif Rasheed, Paul Redmond, Frida Renström, Michael Roden, Danish Saleheen, Juha Saltevo, Kai Savonen, Sylvain Sebert, Tea Skaaby, Kerrin S Small, Alena Stančáková, Jakob Stokholm, Konstantin Strauch, E-Shyong Tai, Kent D Taylor, Betina H Thuesen, Anke Tönjes, Emmanouil Tsafantakis, Tiinamaija Tuomi, Jaakko Tuomilehto, Understanding Society Scientific Group;, Matti Uusitupa, Marja Vääräsmäki, Ilonca Vaartjes, Magdalena Zoledziewska, Goncalo Abecasis, Beverley Balkau, Hans Bisgaard, Alexandra I Blakemore, Matthias Blüher, Heiner Boeing, Eric Boerwinkle, Klaus Bønnelykke, Erwin P Bottinger, Mark J Caulfield, John C Chambers, Daniel I Chasman, Ching-Yu Cheng, Francis S Collins, Josef Coresh, Francesco Cucca, Gert J De Borst, Ian J Deary, George Dedoussis, Panos Deloukas, Hester M Den Ruijter, Josée Dupuis, Michele K Evans, Ele Ferrannini, Oscar H Franco, Harald Grallert, Torben Hansen, Andrew T Hattersley, Caroline Hayward, Joel N Hirschhorn, Arfan Ikram, Erik Ingelsson, Fredrik Karpe, Kay-Tee Kaw, Wieland Kiess, Jaspal S Kooner, Antje Körner, Timo Lakka, Claudia Langenberg, Lars Lind, Cecilia M Lindgren, Allan Linneberg, Leonard Lipovich, Ching-Ti Liu, Jun Liu, Yongmei Liu, Ruth J F Loos, Patrick E Macdonald, Karen L Mohlke, Andrew D Morris, Patricia B Munroe, Alison Murray, Sandosh Padmanabhan, Colin N A Palmer, Gerard Pasterkamp, Oluf Pedersen, Patricia A Peyser, Ozren Polasek, David Porteous, Michael A Province, Bruce M Psaty, Rainer Rauramaa, Paul M Ridker, Olov Rolandsson, Patrik Rorsman, Frits R Rosendaal, Igor Rudan, Veikko Salomaa, Matthias B Schulze, Robert Sladek, Blair H Smith, Timothy D Spector, John M Starr, Michael Stumvoll, Cornelia M Van Duijn, Mark Walker, Nick J Wareham, David R Weir, James G Wilson, Tien Yin Wong, Eleftheria Zeggini, Alan B Zonderman, Jerome I Rotter, Andrew P Morris, Michael Boehnke, Jose C Florez, Mark I Mccarthy, James B Meigs, Anubha Mahajan, Robert A Scott, Anna L Gloyn, Inês Barroso

Faculty, Staff and Student Publications

Background: Genome-wide association studies for glycemic traits have identified hundreds of loci associated with these biomarkers of glucose homeostasis. Despite this success, the challenge remains to link variant associations to genes, and underlying biological pathways.

Methods: To identify coding variant associations which may pinpoint effector genes at both novel and previously established genome-wide association loci, we performed meta-analyses of exome-array studies for four glycemic traits: glycated hemoglobin (HbA1c, up to 144,060 participants), fasting glucose (FG, up to 129,665 participants), fasting insulin (FI, up to 104,140) and 2hr glucose post-oral glucose challenge (2hGlu, up to 57,878). In addition, we performed network …

Post-Acute Sequelae Of Covid-19 And Longitudinal Antibody Levels In A Community-Based Cohort, Noa Kopplin, Angie Garcia, Annika Reczek, Kate Wilkinson, Sruthi Yekkaluri, Caitlin C Murphy, Jasmin Tiro, Alagar R Muthukumar, Andrew Masica, Amit G Singal

Faculty, Staff and Student Publications

BACKGROUND: Coronavirus disease 2019 (COVID-19) infection invokes variable immune responses and poses a risk of post-acute sequelae SARS-CoV-2 infection (PASC) symptoms; however, most data on natural history are derived from patients with severe infection. Further data are needed among patients with mild infection, who comprise most cases.

METHODS: The Dallas Fort-Worth (DFW) COVID-19 Prevalence Study included 21,597 community-dwelling adults (ages 18-89) who underwent COVID-19 PCR and anti-nucleocapsid antibody testing between July 2020 and March 2021. We invited participants with positive COVID-19 results (cases) and a subset with negative results (controls), matched on age, sex, race/ethnicity, and ZIP code, to complete …

Do Breast Cancer Survivors With A Recent History Of Clinical Depression Report Worse Experiences With Care? A Retrospective Cohort Study Using Seer-Cahps Data, Mariana Arevalo, Trevor A Pickering, Sally W Vernon, Kayo Fujimoto, Melissa F Peskin, Albert J Farias

Faculty, Staff and Student Publications

PURPOSE: We examined whether breast cancer survivors' experiences with care differed by a recent history of clinical depression, and whether associations differed by race/ethnicity.

METHODS: Using the Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset, we analyzed records of breast cancer survivors who completed a survey at least 12 months after their cancer diagnosis. We assessed clinical depression 12 months prior to survey completion using Medicare claims. We used separate multivariable logistic regressions to examine the associations between depression and excellent (vs. less than excellent) ratings of experiences with care (i.e., doctor communication, getting needed care, …

Application Of Implementation Mapping To Develop Strategies For Integrating The National Diabetes Prevention Program Into Primary Care Clinics, William B Perkison, Serena A Rodriguez, Fernanda Velasco-Huerta, Patenne D Mathews, Catherine Pulicken, Sidra S Beg, Natalia I Heredia, Pierre Fwelo, Grace E White, Belinda M Reininger, John W Mcwhorter, Roshanda Chenier, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Diabetes is considered one of the most prevalent and preventable chronic health conditions in the United States. Research has shown that evidence-based prevention measures and lifestyle changes can help lower the risk of developing diabetes. The National Diabetes Prevention Program (National DPP) is an evidence-based program recognized by the Centers for Disease Control and Prevention; it is designed to reduce diabetes risk through intensive group counseling in nutrition, physical activity, and behavioral management. Factors known to influence this program's implementation, especially in primary care settings, have included limited awareness of the program, lack of standard clinical processes to facilitate …

Understanding The Influence Of Atomizing Power On Electronic Cigarette Aerosol Size And Inhalation Dose Estimation, Jinho Lee, Wei-Chung Su, Inkyu Han

Faculty, Staff and Student Publications

Although many studies have estimated the inhalation dose of aerosols emitted from electronic cigarettes (e-cigs), the association between the atomizing power and inhalation dose of e-cig aerosols has not been fully examined. The aim of this study was to determine the mass and inhalation doses of e-cig aerosols and their association with the atomizing power of vaping devices. Size-segregated aerosol masses were collected using an 11-stage cascade impactor and the deposition dose in the human respiratory tract was estimated using the size-segregated aerosol mass. The results showed that an increase in atomizing power was positively associated with the amount of …

An Open-Source System For Efficient Clinical Trial Support: The Comet Study Experience, Jonathan Clutton, Robert Neal Montgomery, Dinesh Pal Mudaranthakam, Erin M Blocker, Ashley R Shaw, Amanda N Szabo Reed, Eric D Vidoni

Faculty, Staff and Student Publications

Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial (COMET, NCT04848038) is a one-year comparison of three exercise modalities delivered in the community. Target enrollment is 280 individuals over 4 years. To support rigorous execution of COMET, the study team has developed a suite of scripts and dashboards to assist study stakeholders in each of their various functions. The result is a highly automated study system that preserves rigor, increases communication, and reduces …

Reimbursement For Hpv Vaccine Cost In The Private Sector: A Comparison Across Specialties, Yenan Zhu, Yueh-Yun Lin, Ruosha Li, Cara He, David R Lairson, Ashish A Deshmukh, Kalyani Sonawane

Faculty, Staff and Student Publications

The human papillomavirus (HPV) vaccine is the most expensive of all routinely recommended pediatric vaccines. Adequate cost reimbursement by 3rd-party payers is a critical enabling factor for clinicians to continue offering vaccines. This study found that net returns from HPV vaccine cost reimbursements are lowest for family physicians ($0.34/dose) and highest for pediatricians ($5.08/dose). Furthermore, a $1 increment in return was associated with an increase in HPV vaccine doses administered (highest for family physicians; 0.08% per dollar). Reimbursement for HPV vaccine costs by private payers is adequate; however, return margins are small for non-pediatric specialties.

Survival Of Cancer Survivors With A New Pancreatic Cancer Diagnosis, Sandi L Pruitt, Anna Tavakkoli, Hong Zhu, Daniel F Heitjan, David E Gerber, Amit G Singal, Ethan A Halm, Muhammad Shaalan Beg, Bhumika Maddineni, Ankit J Kansagra, Caitlin C Murphy

Faculty, Staff and Student Publications

BACKGROUND: Persons newly diagnosed with pancreas cancer and who have survived a previous cancer are often excluded from clinical trials, despite limited evidence about their prognosis. We examined the association between previous cancer and overall survival.

METHODS: This US population-based cohort study included older adults (aged ≥66 years) diagnosed with pancreas cancer between 2005 and 2015 in the linked Surveillance, Epidemiology, and End Results-Medicare data. We used Cox proportional hazards models to estimate stage-specific effects of previous cancer on overall survival, adjusting for sociodemographic, treatment, and tumor characteristics.

RESULTS: Of 32,783 patients, 18.7% were previously diagnosed with another cancer. The …

Designing And Pilot-Testing Smokefreesgm: A Text-Based Smoking Cessation Intervention For Sexual And Gender Minority Groups, Rebecca Klaff, Samuel Tundealao, Brittany Krenek, Irene Tamí-Maury

Faculty, Staff and Student Publications

BACKGROUND: Although the prevalence of smoking is significantly higher among sexual and gender minorities (SGM) than the general population, no text-based smoking cessation intervention has been specifically tailored to this group. The objective of this phase of our study was to develop SmokefreeSGM, an SGM-tailored text-based smoking cessation program, and pilot test its design to inform the refinement of the program.

METHODS: SmokefreeSGM was adapted from SmokefreeTXT, the National Cancer Institute's text-based smoking cessation program, to respond to the needs of SGM smokers. In addition to tailored text messages, SmokefreeSGM includes a new keyword, STRESS, to address the unique psychosocial …

Plasma Protein Biomarkers Of Healthy Dietary Patterns: Results From The Atherosclerosis Risk In Communities Study And The Framingham Heart Study, Shutong Du, Jingsha Chen, Hyunju Kim, Maura E Walker, Alice H Lichtenstein, Nilanjan Chatterjee, Peter Ganz, Bing Yu, Ramachandran S Vasan, Josef Coresh, Casey M Rebholz

Faculty, Staff and Student Publications

Background: Molecular mechanisms underlying the benefits of healthy dietary patterns are poorly understood. Identifying protein biomarkers of dietary patterns can contribute to characterizing biological pathways influenced by food intake.

Objectives: This study aimed to identify protein biomarkers associated with four indexes of healthy dietary patterns: Healthy Eating Index-2015 (HEI-2015); Alternative Healthy Eating Index-2010 (AHEI-2010); DASH diet; and alternate Mediterranean Diet (aMED).

Methods: Analyses were conducted on 10,490 Black and White men and women aged 49-73 y from the ARIC study at visit 3 (1993-1995). Dietary intake data were collected using a food frequency questionnaire, and plasma proteins were quantified using …

Association Of The Gut Microbiome With Kidney Function And Damage In The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Brandilyn A Peters, Qibin Qi, Mykhaylo Usyk, Martha L Daviglus, Jianwen Cai, Nora Franceschini, James P Lash, Marc D Gellman, Bing Yu, Eric Boerwinkle, Rob Knight, Robert D Burk, Robert C Kaplan

Faculty, Staff and Student Publications

BACKGROUND: The gut microbiome is altered in chronic kidney disease (CKD), potentially contributing to CKD progression and co-morbidities, but population-based studies of the gut microbiome across a wide range of kidney function and damage are lacking.

METHODS: In the Hispanic Community Health Study/Study of Latinos, gut microbiome was assessed by shotgun sequencing of stool (

RESULTS: Higher eGFR was associated with overall gut microbiome composition, greater abundance of species from Prevotella, Faecalibacterium, Roseburia, and Eubacterium, and microbial functions related to synthesis of long-chain fatty acids and carbamoyl-phosphate. Higher UAC ratio and CKD were related to lower gut microbiome diversity and …

Application Of Implementation Mapping To Develop Strategies For Integrating The National Diabetes Prevention Program Into Primary Care Clinics, William B Perkison, Serena A Rodriguez, Fernanda Velasco-Huerta, Patenne D Mathews, Catherine Pulicken, Sidra S Beg, Natalia I Heredia, Pierre Fwelo, Grace E White, Belinda M Reininger, John W Mcwhorter, Roshanda Chenier, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Diabetes is considered one of the most prevalent and preventable chronic health conditions in the United States. Research has shown that evidence-based prevention measures and lifestyle changes can help lower the risk of developing diabetes. The National Diabetes Prevention Program (National DPP) is an evidence-based program recognized by the Centers for Disease Control and Prevention; it is designed to reduce diabetes risk through intensive group counseling in nutrition, physical activity, and behavioral management. Factors known to influence this program's implementation, especially in primary care settings, have included limited awareness of the program, lack of standard clinical processes to facilitate …

Susceptible Windows Of Exposure To Fine Particulate Matter And Fetal Growth Trajectories In The Spanish Inma (Infancia Y Medio Ambiente) Birth Cohort, Wei-Jen Chen, Alison M Rector, Monica Guxens, Carmen Iniguez, Michael D Swartz, Elaine Symanski, Jesús Ibarluzea, Albert Ambros, Marisa Estarlich, Aitana Lertxundi, Isolina Riano-Galán, Jordi Sunyer, Ana Fernandez-Somoano, Suneet P Chauhan, Jennifer Ish, Kristina W Whitworth

Faculty, Staff and Student Publications

While prior studies report associations between fine particulate matter (PM

Factors Associated With Hiv Testing And Treatment Among Young Black Msm And Trans Women In Three Jail Systems, Nicholas Antos, Rey Flores, Nina Harawa, Natascha Del Vecchio, Rodal Issema, Kayo Fujimoto, Aditya S Khanna, Angela Di Paola, John A Schneider, Anna L Hotton

Faculty, Staff and Student Publications

Black men who have sex with men (BMSM) and transgender women (BTW) are disproportionately affected by incarceration and HIV. We assessed factors associated with HIV testing and viral suppression among 176 incarcerated BMSM and BTW in Chicago, IL; Los Angeles, CA; and Houston, TX. In multivariable logistic regression, having a sexual orientation of bisexual, heterosexual, or other vs. gay or same-gender loving was associated with higher odds of testing in custody (aOR 8.97; 95% CI 1.95 - 41.24). Binge drinking (aOR 0.19; 95% CI 0.04 - 0.92) and being unemployed prior to incarceration (aOR 0.03; 95% CI 0.00 - 0.23) …

Examining Neighborhood-Level Hot And Cold Spots Of Food Insecurity In Relation To Social Vulnerability In Houston, Texas, Ryan Ramphul, Linda Highfield, Shreela Sharma

Faculty, Staff and Student Publications

Food insecurity is prevalent and associated with poor health outcomes, but little is known about its geographical nature. The aim of this study is to utilize geospatial modeling of individual-level food insecurity screening data ascertained in health care settings to test for neighborhood hot and cold spots of food insecurity in a large metropolitan area, and then compare these hot spot neighborhoods to cold spot neighborhoods in terms of the CDC's Social Vulnerability Index. In this cross-sectional secondary data analysis, we geocoded the home addresses of 6,749 unique participants screened for food insecurity at health care locations participating in CMS's …

Age-Induced Changes In Anti-Tumor Immunity Alter The Tumor Immune Infiltrate And Impact Response To Immuno-Oncology Treatments, Suzanne I Sitnikova, Jennifer A Walker, Laura B Prickett, Michelle Morrow, Viia E Valge-Archer, Matthew J Robinson, Robert W Wilkinson, Simon J Dovedi

Faculty, Staff and Student Publications

INTRODUCTION: Immuno-oncology (IO) research relies heavily on murine syngeneic tumor models. However, whilst the average age for a cancer diagnosis is 60 years or older, for practical purposes the majority of preclinical studies are conducted in young mice, despite the fact that ageing has been shown to have a significant impact on the immune response.

METHODS: Using aged (60-72 weeks old) mice bearing CT26 tumors, we investigated the impact of ageing on tumor growth as well as the immune composition of the tumor and peripheral lymphoid organs.

RESULTS: We found many differences in the immune cell composition of both the …

Methodological Considerations In Pisces 3: A Randomized, Placebo-Controlled Study Of Intracerebral Stem Cells In Subjects With Disability Following An Ischemic Stroke, Daniel T Laskowitz, Keith W Muir, Sean I Savitz, Lawrence R Wechsler, Julie G Pilitsis, Scott Y Rahimi, Richard L Beckman, Vincent Holmes, Peng R Chen, Laura Juel, Deborah Koltai, Brad J Kolls

Faculty, Staff and Student Publications

Background and hypothesis: At present, there are no medical interventions proven to improve functional recovery in patients with subacute stroke. We hypothesize that the intraparenchymal administration of CTX0E03, a conditionally immortalized neural stem cell line, linked with a standardized rehabilitation therapy regimen for the upper limb, would improve functional outcomes in patients 6-12 months after an index ischemic stroke.

Study design: PISCES III was designed as a multicenter prospective, sham-controlled, outcome-blinded randomized clinical trial. Eligibility required a qualifying ischemic stroke 6-12 months prior to surgical intervention. Patients must be between 35 and 75 years of age and have residual moderate …

Dermatological Concerns For Women And Girls With Turner Syndrome, David Rodriguez-Buritica, Meaghan Mones, Siddharth K Prakash, Michelle Rivera, Melissa Aldrich, Megan Rogge, Kate Richardson

Faculty, Staff and Student Publications

Introduction: Turner syndrome (TS) is associated with distinct manifestations in women and girls including short stature, cardiac abnormalities, premature ovarian failure as well as dermatological features, including lymphedema, keloids, onychodystrophy, and acne. Although many dermatological concerns present during the first few decades of life, the overwhelming majority of respondents are not provided with dermatology referrals at diagnosis.

Methods: This cross-sectional study utilized an author designed survey to assess self-reported dermatological manifestations, dermatology referral experience, common therapies for select dermatological conditions, as well as a validated 10-question Dermatology Life Quality Index (DLQI) to assess quality-of-life impact in women and girls with …

Leveraging Informative Missing Data To Learn About Acute Respiratory Distress Syndrome And Mortality In Long-Term Hospitalized Covid-19 Patients Throughout The Years Of The Pandemic, Emily Getzen, Amelia Lm Tan, Gabriel Brat, Gilbert S Omenn, Zachary Strasser, Qi Long, John H Holmes, Danielle Mowery

Faculty, Staff and Student Publications

Electronic health records (EHRs) contain a wealth of information that can be used to further precision health. One particular data element in EHRs that is not only under-utilized but oftentimes unaccounted for is missing data. However, missingness can provide valuable information about comorbidities and best practices for monitoring patients, which could save lives and reduce burden on the healthcare system. We characterize patterns of missing data in laboratory measurements collected at the University of Pennsylvania Hospital System from long-term COVID-19 patients and focus on the changes in these patterns between 2020 and 2021. We investigate how these patterns are associated …

Dental Claires: Contrastive Language Image Retrieval Search For Dental Research, Tanjida Kabir, Luyao Chen, Muhammad F Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Learning about diagnostic features and related clinical information from dental radiographs is important for dental research. However, the lack of expert-annotated data and convenient search tools poses challenges. Our primary objective is to design a search tool that uses a user's query for oral-related research. The proposed framework,