Digital Commons Network^™

Racial And Ethnic Disparities In Receipt Of Guideline-Concordant Pancreatic Cancer Care Among Older Adults In The United States, Joshua Herb, Kai-Ping Liao, John K Lin, Kever A Lewis, Sharon H Giordano, Matthew H G Katz, Rebecca A Snyder

Faculty, Staff and Student Publications

Purpose: Patients racialized as Black experience a higher mortality from pancreatic cancer (PC). Worse survival outcomes may relate to differences in delivered treatment. This study examined differences in receipt of guideline-concordant care (GCC) among older adults with PC according to race and ethnicity.

Methods: Patients 65 years and older with incident PC racialized as non-Hispanic White (NH-White) or racialized as NH-Black or of Hispanic ethnicity were identified in the SEER-Medicare database from 2004 to 2019. The primary outcome was receipt of stage-specific GCC. Multivariable logistic regression identified factors associated with GCC. Oaxaca-Blinder decomposition examined the contribution of measured and unmeasured …

Real-Time Experiences Of Racism And Stress In Association With Postpartum Weight Retention: A Longitudinal Ecological Momentary Assessment Study, Dara M Méndez, Amanda L Tapia, Sarah A Sanders, Andrea D Casas, Marquita Smalls, Esa M Davis, Stephen L Rathbun, Tiffany L Gary-Webb, Lora E Burke, Serwaa S Omowale, Linda A Adodoadji, John J Gianakas, Y Lai, Maisa Feghali, Meredith L Wallace

Faculty, Staff and Student Publications

Racial inequities in postpartum weight have been documented with limited studies on the influences of racism and other forms of discrimination. In a prospective longitudinal study applying ecological momentary assessment (EMA) and ambulatory assessment of weight, we measured the association between discrimination, stress, and postpartum weight change. The Postpartum Mothers Mobile Study is a cohort of 313 pregnant and birthing individuals who were followed during their second and third trimesters through 1 year postpartum. They were recruited in clinical settings between 2017 and 2020 in a major city center in Pennsylvania. Measures of racism and gender-based discrimination were collected via …

Information Theory Optimization Of Signals From Small-Angle Scattering Measurements, Robert P Rambo, John A Tainer

Faculty, Staff and Student Publications

Small-angle X-ray scattering (SAXS) of particles in solution informs on the conformational states and assemblies of biological macromolecules (bioSAXS) outside of cryo- and solid-state conditions. In bioSAXS, the SAXS measurement under dilute conditions is resolution limited, and through an inverse Fourier transform, the measured SAXS intensities directly relate to the physical space occupied by the particles via the P(r)-distribution. Yet, this inverse transform of SAXS data has been historically cast as an ill-posed, ill-conditioned problem requiring an indirect approach. Here, we show that through the applications of matrix and information theories, the inverse transform of SAXS intensity data is a …

Association Between Allostatic Load And Accelerated White Matter Brain Aging: Findings From The Uk Biobank, Li Feng, Zhenyao Ye, Zewen Du, Yezhi Pan, Travis Canida, Hongjie Ke, Song Liu, Shuo Chen, L Elliot Hong, Peter Kochunov, Jie Chen, David K Y Lei, Edmond Shenassa, Tianzhou Ma

Faculty, Staff and Student Publications

White matter (WM) brain age, a neuroimaging-derived biomarker indicating WM microstructural changes, helps predict dementia and neurodegenerative disorder risks. The cumulative effect of chronic stress on WM brain aging remains unknown. In this study, we assessed cumulative stress using a multi-system composite allostatic load (AL) index based on inflammatory, anthropometric, respiratory, lipidemia, and glucose metabolism measures, and investigated its association with WM brain age gap (BAG), computed from diffusion tensor imaging data using a machine learning model, among 22 951 European ancestries aged 40 to 69 (51.40% women) from UK Biobank. Linear regression, Mendelian randomization, along with inverse probability weighting, …

Interactive 3d Segmentation For Primary Gross Tumor Volume In Oropharyngeal Cancer, Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

Faculty, Staff and Student Publications

Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in manual tumor delineation. For such a challenge an interactive deep learning (DL) based approach offers the advantage of automatic high-performance segmentation with the flexibility for user correction when necessary. In this study, we investigate an interactive DL for GTVt segmentation in OPC by introducing a novel two-stage Interactive Click Refinement (2S-ICR) framework and implementing state-of-the-art algorithms. Using the 2021 HEad and neCK TumOR dataset …

Gated Recurrent Unit With Decay Has Real-Time Capability For Postoperative Ileus Surveillance And Offers Cross-Hospital Transferability, Xiaoyang Ruan, Sunyang Fu, Heling Jia, Kellie L Mathis, Cornelius A Thiels, Schaeferle M Gavin, Patrick M Wilson, Curtis B Storlie, Hongfang Liu

Faculty, Staff and Student Publications

Background: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with regression models, the role of deep learning remains unexplored.

Methods: We evaluated the Gated Recurrent Unit with Decay (GRU-D) for real-time ileus risk assessment in 7349 colorectal surgeries across three Mayo Clinic sites with two Electronic Health Record (EHR) systems. The results were compared with atemporal models on a panel of benchmark metrics.

Results: Here we show that despite extreme data sparsity (e.g., 72.2% of labs, …

Factors Influencing Covid-19 Vaccine Uptake Among Vulnerable Communities In Texas: Perceptions Of 2-1-1 Helpline Callers, Lara S Savas, Paula Cuccaro, Kehe Zhang, Rodrigo Hernandez, Meghan E Haffey, Belinda Reininger, Anais Mendiola, Olivia Dominguez, Maribel Sifuentes, Cici Bauer, Maria E Fernandez

Faculty, Staff and Student Publications

Background: Vaccination effectively and safely prevents serious illness from coronavirus disease 2019 (COVID-19). This study examines the complex factors associated with vaccination uptake among economically disadvantaged adults calling the Texas/United Way 2-1-1 helpline. Results informed the development of strategies to increase COVID-19 vaccine uptake among vulnerable populations disproportionately impacted by COVID-19-related morbidity and mortality.

Material and methods: We conducted a cross-sectional survey among 2-1-1 adult callers (May 2021-September 2022). The survey examined demographic, sociocultural, healthcare access, and psychosocial factors, as well as mistrust in health agencies. We used multivariable logistic regression models to examine factors associated with vaccination uptake, and …

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

Car-Macrophage Cell Therapy: A New Era Of Hope For Pancreatic Cancer, Daoyan Wei, Liang Wang, Yi Liu, Xiangsheng Zuo, Xiling Shen, Robert S Bresalier

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies, characterized by late diagnosis, early metastasis, and resistance to conventional therapies. A major barrier to effective treatment is its desmoplastic and immunosuppressive tumor microenvironment (TME), which restricts T cell infiltration and dampens responses to immune checkpoint inhibitors (ICIs). These features highlight the urgent need for innovative immunotherapeutic strategies capable of overcoming PDAC's immunologic and physical barriers. Chimeric antigen receptor (CAR)-macrophage (CAR-M) therapy has emerged as a promising approach to address these challenges. Unlike CAR-T or CAR-NK cells, CAR-Ms can efficiently infiltrate tumors, remodel the TME, phagocytose tumor cells, and stimulate …

Partial Cystectomy For Muscle-Invasive Bladder Cancer, Peter S Palencia, Nethusan Sivanesan, Syed Rahman, Fady Ghali, David Hesse, John Colberg, Ashwin Sridhar, John D Kelly, Byron H Lee, Ashish M Kamat, Wei-Shen Tan

Faculty, Staff and Student Publications

Partial cystectomy is a surgical bladder-sparing option for selected patients with muscle-invasive bladder cancer (MIBC), urachal adenocarcinoma and diverticular bladder tumors. Partial cystectomy hold several advantages. It allows for definite pathology and accurate staging while avoiding side effects from radiation therapy and preserves the option for salvage radical therapy (radical cystectomy or radical radiotherapy). Patients should have a CT urogram, prostatic urethral biopsy and mapping biopsies or blue light cystoscopy to rule out multifocal disease or CIS. Small solitary MIBC patients without carcinoma in situ in an area of the bladder where resection can be performed with negative margin would …

Trauma Resuscitation With Low-Titer Group O Whole Blood Or Products: Study Protocol For A Randomized Clinical Trial (The Troop Trial), Jan O Jansen, Claudia Pedroza, Luis Leon Novelo, Tianyao Hao, Gina R Dewildt, Charles F Coton, Kiran Mansoor, Shannon W Stephens, Marisa B Marques, James R Stubbs, Jillian R Richter, Henry E Wang, John B Holcomb, Stacia M Desantis

Faculty, Staff and Student Publications

Background: Hemorrhage is the most common cause of potentially preventable death after injury. Balanced transfusion with red blood cells, plasma, and platelets (component therapy, CT) has been shown to reduce mortality, and is the standard of care. Low-Titer Group O Whole Blood (LTOWB) is an attractive alternative to CT, but existing evidence comprises observational studies, and a small single center pilot randomized controlled trial, which evaluated a type of whole blood that is no longer in use. The aim of the "Trauma Resuscitation with Low-Titer Group O Whole Blood Or Products" (TROOP) trial is to compare the effectiveness and safety …

Rna Sequencing And Immunohistochemistry Jointly Improve Tumor Biomarker Interpretation, Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K Lennerz, Funda Meric-Bernstam, Alexander Bagaev

Faculty, Staff and Student Publications

This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC classifications. Expression levels of nine biomarkers-ESR1, PGR, AR, MKI67, ERBB2, CD274, CDX2, KRT7, and KRT20-were analyzed in 365 formalin-fixed, paraffin-embedded samples from breast, lung, gastrointestinal, and other solid carcinomas. Correlations between RNA-seq data and IHC scores were determined using Spearman's correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. The results revealed strong correlations for most biomarkers, with coefficients ranging from 0.53 to …

Rsph4a-Pcdx: An Index To Predict Lung Function Decline In Primary Ciliary Dyskinesia, Gabriel Román-Ríos, Gabriel Rosario-Ortiz, Marcos J Ramos-Benitez, Ricardo A Mosquera, Wilfredo De Jesús-Rojas

Faculty, Staff and Student Publications

Primary ciliary dyskinesia (PCD) is a rare, genetically heterogeneous disorder that impairs mucociliary clearance and leads to progressive lung disease. This study aimed to characterize lung function decline in a genetically homogeneous cohort of Puerto Rican patients with

Genetic Study Of Von Willebrand Factor Antigen Levels ≤ 50 Iu/Dl Identifies Variants Associated With Increased Risk Of Von Willebrand Disease And Bleeding, Rachel K Friedman, Adam S Heath, Jennifer E Huffman, James T Baker, Natalie R Hasbani, Sarah A Gagliano Taliun, Ming-Huei Chen, Tom E Howard, Joshua P Lewis, Nathan Pankratz, Snehal Patil, Alex P Reiner, Florian Thibord, Lisa R Yanek, Jie Yao, Hung-Hsin Chen, Joanne E Curran, Nauder Faraday, Xiuqing Guo, Marsha M Wheeler, Kathleen A Ryan, Xiang Zhou, Kelly Cho, Laura Almasy, Paul L Auer, Lewis C Becker, Peter W F Wilson, Eric Boerwinkle, Jeffrey R O'Connell, Stephen S Rich, David C Samuels, National Heart, Lung And Blood Institute (Nhlbi) Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology & Hemostasis Working Group, Va Million Veteran Program, John Blangero, Myriam Fornage, Charles Kooperberg, Rasika A Mathias, Braxton D Mitchell, Jerome I Rotter, Andrew D Johnson, Nicholas L Smith, Zeynep H Coban-Akdemir, Jennifer E Below, Alanna C Morrison, Jill M Johnsen, Paul S De Vries

Faculty, Staff and Student Publications

Background: von Willebrand disease (VWD) is a common inherited bleeding disorder caused by low levels or activity of circulating von Willebrand factor (VWF). Genetic susceptibility to VWF antigen (VWF:Ag) below normal (≤ 50 IU/dL) in the general population is underexplored.

Objectives: To identify genetic variants influencing VWF:Ag levels ≤ 50 IU/dL.

Methods: We performed a genome-wide association study in 926 cases with VWF:Ag levels ≤ 50 IU/dL and 12 846 controls from 7 studies from the Trans-Omics for Precision Medicine program. We then examined whether significant genome-wide findings were also associated with clinical diagnosis of VWD in 5 biobanks with …

Impaired Rest-Activity Rhythm Characteristics Predict Higher Risk Of Incident Type 2 Diabetes In Uk Biobank Participants, Chris Ho Ching Yeung, Alison K Wright, Daniel P Windred, Angus C Burns, Andrew J K Phillips, Sean W Cain, Martin K Rutter, Qian Xiao

Faculty, Staff and Student Publications

Objective: Circadian rhythms play a key role in metabolic health. Rest-activity rhythms, which are in part driven by circadian rhythms, may be associated with diabetes risk. There is a need for large prospective studies to comprehensively examine different rest-activity metrics to determine their relative strength in predicting risk of incident type 2 diabetes.

Research design and methods: In actigraphy data from 83,887 UK Biobank participants, we applied both parametric and nonparametric algorithms to derive 13 different metrics characterizing different aspects of rest-activity rhythm. Diabetes cases were identified using both self-reported data and health records. We used Cox proportional hazards models …

Linking Chronic Kidney Disease To Incident Heart Failure And Adverse Cardiac Remodeling Through The Plasma Proteome: The Aric Study, Leo F Buckley, Pranav Dorbala, Victoria Lamberson, Brian L Claggett, Yue Ren, Morgan E Grams, Josef Coresh, Kunihiro Matsushita, Ryan T Demmer, Ruth F Dubin, Rajat Deo, Peter Ganz, Christie M Ballantyne, Ron C Hoogeveen, Bing Yu, Amil M Shah

Faculty, Staff and Student Publications

Background: Investigation of circulating plasma proteins may reveal insights into molecular pathways that contribute to the development of heart failure (HF) among people with chronic kidney disease.

Objectives: The authors aimed to identify circulating kidney function-related plasma proteins that are associated with the risk of incident HF.

Methods: The authors studied participants of the ongoing longitudinal ARIC (Atherosclerosis Risk In Communities) study. Relative plasma concentrations of 4,697 unique proteins were measured with the use of an aptamer assay (Somalogic). Each protein was tested for associations with estimated glomerular filtration rate (eGFR), log-transformed urine albumin-to-creatinine ratio (UACR), and incident HF by …

Trends In Glucagon-Like Peptide 1 Receptor Agonist Prescribing Patterns, Maria Ukhanova, Joseph S Wozny, Chau N Truong, Lopita Ghosh, Trudy M Krause

Faculty, Staff and Student Publications

Objective: Obesity affects more than 40% of US adults, increasing risks for cardiovascular disease and type 2 diabetes. Glucagon-like peptide 1 receptor agonists (GLP-1 RAs), initially indicated for diabetes, show promise in weight loss but face coverage issues, high costs, and premature prescribing from physicians. Research is needed to assess prescribing patterns, especially in patients without diabetes.

Study design: We conducted a retrospective, population-based, observational study using the Merative MarketScan Commercial Database and the Merative MarketScan Medicare Supplemental Database, which capture person-specific clinical utilization and expenditures. We analyzed GLP-1 RA prescribing rates from 2018 to 2023, comparing semaglutide with other …

Autoantibody Profiling To Predict Response To The Anti-Pd-1 Therapy, Pembrolizumab, In Rare Tumors, M H Derbala, J Hajjar, B Stephen, S A Gurses, E Kwiatkowski, P Budde, H-D Zucht, M Bräutigam, A-S Lindemann, B A Abhari, M A Gouda, L Castillo, A Zarifa, J A How, E Rodriguez, J T Moyers, D S Hong, S Fu, F Meric-Bernstam, A Naing

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) have limited response rates in selected patients and can cause potentially life-threatening immune-related adverse events (irAEs). This underscores the urgent need for the development of biomarkers predictive of ICI response. Pre-existing autoantibodies (AAbs) have been linked with responses to ICIs and the development of irAEs. We conducted AAb profiling to assess associations between baseline AAbs and clinical benefit (CB) in patients with rare tumors treated with anti-programmed cell death protein 1-based therapy.

Patients and methods: We conducted AAb profiling using Oncimmune's SeroTag multiplex antibody discovery technology and immune oncology array containing 1168 antigens. The study …

Racial Disparities In The Receipt Of Therapies For Cancer, Hypertension, And Diabetes, And In Mortality In A Large Population-Based Cohort Of Older Men With Prostate Cancer, Zhuoyun Li, Xianglin L Du

Faculty, Staff and Student Publications

Background: Racial disparities in treatment and mortality were widely studied among prostate cancer patients; however, few studies considered the prevalence of hypertension and diabetes and their treatment status.

Objectives: To determine whether there are racial discrepancies in the use of anti-cancer, antihypertensive, and antidiabetic drugs in a cohort of long-term survivors of prostate cancer diagnosed in 2007-2015; and to examine racial disparities in mortality after adjustments for their differences in those treatments.

Methods: We used the SEER (Surveillance, Epidemiology, and End Results)-Medicare linked database and included records for patients with prostate cancer at age 65 years or older diagnosed from …

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, Farhad Imam, Rowan Saloner, Jacob W Vogel, Varsha Krish, Gamal Abdel-Azim, Muhammad Ali, Lijun An, Federica Anastasi, David Bennett, Alexa Pichet Binette, Adam L Boxer, Martin Bringmann, Jeffrey M Burns, Carlos Cruchaga, Jeff L Dage, Amelia Farinas, Luigi Ferrucci, Caitlin A Finney, Mark Frasier, Oskar Hansson, Timothy J Hohman, Erik C B Johnson, Mika Kivimaki, Roxanna Korologou-Linden, Agustin Ruiz Laza, Allan I Levey, Inga Liepelt-Scarfone, Lina Lu, Niklas Mattsson-Carlgren, Lefkos T Middleton, Kwangsik Nho, Hamilton Se-Hwee Oh, Ronald C Petersen, Eric M Reiman, Oliver Robinson, Jeffrey D Rothstein, Andrew J Saykin, Artur Shvetcov, Chad Slawson, Bart Smets, Marc Suárez-Calvet, Betty M Tijms, Maarten Timmers, Fernando Vieira, Natalia Vilor-Tejedor, Pieter Jelle Visser, Keenan A Walker, Laura M Winchester, Tony Wyss-Coray, Chengran Yang, Niranjan Bose, Simon Lovestone, The Global Neurodegeneration Proteomics Consortium (Gnpc)

Faculty, Staff and Student Publications

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging and subtyping of these conditions. High-dimensional molecular studies in biofluids ('omics') offer promise for scalable biomarker discovery, but challenges in assembling large, diverse datasets hinder progress. To address this, the Global Neurodegeneration Proteomics Consortium (GNPC)-a public-private partnership-established one of the …

Associations Between Social Support, Social Control, And Stage Of Change With Self-Reported And Objectively Assessed Physical Activity In Adult Latino Dyads, Jemima C John, Minjae Lee, Soo K Park, Lorna H Mcneill, Deanna M Hoelscher, Susan M Schembre, Belinda M Reininger, Larkin L Strong

Faculty, Staff and Student Publications

Health behaviors such as physical activity (PA) are socially influenced, such that individuals from shared social networks or living environments may exhibit similar habits. This cross-sectional study examined associations of social support, social control, and family member stage of change with moderate-to-vigorous self-reported and objective PA in dyads of adult Hispanic family members. We used the Godin Leisure-Time Physical Activity Questionnaire to assess self-reported PA and accelerometry for objective PA. Validated scales assessed social support, social control, and stage of change. We performed multivariable multilevel analysis using generalized estimating equations (GEE) to account for within-dyad correlations. We conducted multivariable negative …

A Large-Scale Genome-Wide Study Of Gene-Sleep Duration Interactions For Blood Pressure In 811,405 Individuals From Diverse Populations, Pavithra Nagarajan, Thomas W Winkler, Amy R Bentley, Clint L Miller, Aldi T Kraja, Karen Schwander, Songmi Lee, Wenyi Wang, Michael R Brown, John L Morrison, Ayush Giri, Jeffrey R O'Connell, Traci M Bartz, Lisa De Las Fuentes, Valborg Gudmundsdottir, Xiuqing Guo, Sarah E Harris, Zhijie Huang, Mart Kals, Minjung Kho, Christophe Lefevre, Jian'an Luan, Leo-Pekka Lyytikäinen, Massimo Mangino, Yuri Milaneschi, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Botong Shen, Stefan Stadler, Quan Sun, Jingxian Tang, Sébastien Thériault, Adriaan Van Der Graaf, Peter J Van Der Most, Yujie Wang, Stefan Weiss, Kenneth E Westerman, Qian Yang, Tabara Yasuharu, Wei Zhao, Wanying Zhu, Drew Altschul, Md Abu Yusuf Ansari, Pramod Anugu, Anna D Argoty-Pantoja, Michael Arzt, Hugues Aschard, John R Attia, Lydia Bazzanno, Max A Breyer, Jennifer A Brody, Brian E Cade, Hung-Hsin Chen, Yii-Der Ida Chen, Zekai Chen, Paul S De Vries, Latchezar M Dimitrov, Anh Do, Jiawen Du, Charles T Dupont, Todd L Edwards, Michele K Evans, Tariq Faquih, Stephan B Felix, Susan P Fisher-Hoch, James S Floyd, Mariaelisa Graff, Charles Gu, Dongfeng Gu, Kristen G Hairston, Anthony J Hanley, Iris M Heid, Sami Heikkinen, Heather M Highland, Michelle M Hood, Mika Kähönen, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Setoh Kazuya, Tanika N Kelly, Pirjo Komulainen, Daniel Levy, Henry J Lin, Peter Y Liu, Pedro Marques-Vidal, Joseph B Mccormick, Hao Mei, James B Meigs, Cristina Menni, Kisung Nam, Ilja M Nolte, Natasha L Pacheco, Lauren E Petty, Hannah G Polikowsky, Michael A Province, Bruce M Psaty, Laura M Raffield, Olli T Raitakari, Stephen S Rich, Renata L Riha, Lorenz Risch, Martin Risch, Edward A Ruiz-Narvaez, Rodney J Scott, Colleen M Sitlani, Jennifer A Smith, Tamar Sofer, Maris Teder-Laving, Uwe Völker, Peter Vollenweider, Guanchao Wang, Ko Willems Van Dijk, Otis D Wilson, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Xiaofeng Zhu, Jennifer E Below, Carsten A Böger, David Conen, Simon R Cox, Marcus Dörr, Mary F Feitosa, Ervin R Fox, Nora Franceschini, Sina A Gharib, Vilmundur Gudnason, Sioban D Harlow, Jiang He, Elizabeth G Holliday, Zoltan Kutalik, Timo A Lakka, Deborah A Lawlor, Seunggeun Lee, Terho Lehtimäki, Changwei Li, Ching-Ti Liu, Reedik Mägi, Fumihiko Matsuda, Alanna C Morrison, Brenda Wjh Penninx, Patricia A Peyser, Jerome I Rotter, Harold Snieder, Tim D Spector, Lynne E Wagenknecht, Nicholas J Wareham, Alan B Zonderman, Kari E North, Myriam Fornage, Million Veteran Program, Adriana M Hung, Alisa K Manning, James Gauderman, Han Chen, Patricia B Munroe, Dabeeru C Rao, Diana Van Heemst, Susan Redline, Raymond Noordam, Heming Wang

Faculty, Staff and Student Publications

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discovered 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes' functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health …

Corporate Ownership, Health System Affiliation, And Market Concentration Of Home Health Agencies, Kun Li, Shekinah Fashaw-Walters, M Kate Bundorf, Yucheng Hou

Faculty, Staff and Student Publications

This cross-sectional study examines how growing health system affiliation and corporate ownership models may potentially contribute to home health agency (HHA) market concentration.

Chance Or Strategy? Assessing The Unanticipated Policy Window For Active Transportation During The Covid-19 Pandemic: A Systematic Review, Katja Siefken, Michael Pratt, Juliana Mejía-Grueso, Adrian Bauman, Deborah Salvo, Catherine B Woods, Wanda Wendel-Vos, Justin Richards, J Jaime Miranda, Pedro C Hallal, Andrea Ramírez Varela

Faculty, Staff and Student Publications

Physical activity (PA) policy is essential for promoting population-level PA by coordinating efforts across various sectors. Global crises like the COVID-19 pandemic can open policy windows, enabling rapid implementation of innovative policies. This study examined how policy windows shaped active transportation (AT) policies during the pandemic, resulting in infrastructural changes.

Methods: A systematic review using PubMed, Scopus, ProQuest-Coronavirus Research Database, Web of Science, WHO COVID-19 Research Database, PsycInfo, and SPORTDiscus conducted to characterize AT policy during the pandemic (2020-2023). Descriptive analyses were conducted in Stata. PROSPERO registration number: CRD42025644930.

Results: The search retrieved 3879 articles; 1162 were duplicates, leaving 2716 …

Accelerometer-Measured Chronoactivity And Type 2 Diabetes Risk: A Prospective Study In Uk Biobank Participants, Qiuyu Feng, Gali Albalak, Ko Willems Van Dijk, Jeroen H P M Van Der Velde, Qian Xiao, Raymond Noordam, Diana Van Heemst

Faculty, Staff and Student Publications

Objective: We assessed whether timing of physical activity, independent from the total activity amount, - which we refer to as chronoactivity - is associated with type 2 diabetes (T2D) risk.

Methods: We included UK Biobank participants with valid accelerometry data (UK, exposure measurement: 2013-2015, follow-up till November 2023) and without diabetes mellitus at baseline (N = 89,439; mean age: 61.7 [SD:7.9] years). Relative hourly physical activity was calculated by dividing the average hourly clock time physical activity by the average hourly physical activity in a week. Participants were categorized into different chronoactivity clusters using k-means cluster analysis on relative hourly …

Genome-Wide Approaches To Bacterial Strain Typing: A History And Review Of Recent Methodological Advances, William C Shropshire, Blake M Hanson, Samuel A Shelburne

Faculty, Staff and Student Publications

Purpose of review: Whole genome sequencing (WGS) has transformed bacterial strain typing, an essential tool for outbreak detection, antimicrobial resistance surveillance, and tracking clonal emergence across clinical, research, and public health settings. Herein, we will review recent advances in WGS-based bacterial strain typing methods for purposes of comparison and classification with a focus on improvements in variant identification, strain classification, and transmission assessment.

Recent findings: Advances in sequencing technologies as well as variant calling methodologies and parameter optimization have enhanced the precision and accuracy of single nucleotide variant identification. Hierarchical clustering of gene-by-gene strain typing, combined with novel data management …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum, Xiaolan Gu, Ming Li, Li Xiong

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

Pain Acceptance In Chronic Postoperative Pain: Concept Analysis, Sajini M Thekkel, Constance M Johnson, Meagan Whisenant, Deniz Dishman

Faculty, Staff and Student Publications

Purpose: Chronic postoperative pain (CPOP) is a potential outcome of otherwise successful surgery that can persist for months, with its prevalence varied by surgical type, genetic predispositions, and psychosocial factors. Pain acceptance offers better outcomes to these patient populations by fostering a willingness to experience pain without resistance. This analysis examines how pain acceptance contributes to psychological well-being, helps reduce opioid misuse, and enhances quality of life, even in the presence of CPOP.

Design: The concept analysis approach follows Walker and Avant's framework (2019).

Methods: A literature search across PubMed, Web of Science, and CINAHL yielded 276 articles, of which …

Isolation And Functional Properties Of Highly-Purified N-Terminal Domain Of Human Napi2b By Scalable “Resin Overload” Technique, Daria Savenkova, Irina Makarenko, Daria Nedorezova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Despite the enthusiasm and advances in the purification of native and engineered full-length membrane proteins, little attention has been paid to their fragments which could serve as attractive inspiration for function, regulation, or targeting of full-length membrane protein with therapeutic antibodies (Abs). Production of recombinant fragments of "therapeutic" membrane proteins for early-stage discovery research requires their purification to near homogeneity. It is important not only for the production of biotherapeutic antibodies but also for structural and functional studies of competitive protein-Abs, protein-protein, and lipid-protein interactions which heavily rely on the purity and quality of the isolated protein fragment of interest. …

Addressing Challenges In Developing Treatments For Inherited Retinal Diseases: Recommendations From The Third Monaciano Symposium, Debra A Thompson, K Thiran Jayasundera, Oleg Alekseev, Robin R Ali, Alessia Amato, Vadim Y Arshavsky, Isabelle S Audo, Alberto Auricchio, James W B Bainbridge, Eyal Banin, Cagri G Besirli, David G Birch, Kari E Branham, Artur V Cideciyan, Stephen P Daiger, Jacque L Duncan, Abigail T Fahim, John G Flannery, Roberto Gattegna, John R Heckenlively, Elise Héon, Alessandro Iannaccone, Naheed W Khan, Samer Khateb, Henry J Klassen, Bart P Leroy, Dario Marangoni, Michel Michaelides, David C Musch, Mark E Pennesi, Simon M Petersen-Jones, Eric A Pierce, Rajesh C Rao, José-Alain Sahel, Paul A Sieving, Enrica Strettoi, Cameron R Strong, Thomas J Wubben, Paul Yang, David N Zacks

Faculty, Staff and Student Publications

Over the past decade, efforts focused on developing genetic therapies for inherited retinal diseases have advanced steadily to clinical trials and the development of a treatment, fueling optimism for the potential of precision medicines to provide safe and effective therapies for these rare conditions. Although several ongoing programs remain poised for success, numerous challenges have negatively impacted the ability to obtain regulatory approvals. The present position paper briefly summarizes recent advances and challenges in developing therapeutics for inherited retinal diseases, and presents a set of recommendations for moving the field forward. The priorities identified are discussed in terms of progress …