Digital Commons Network^™

Stratifying The Population Based On Health Risk: Identification Of Patient Key Health Risk Factors Through Consensus Techniques, Carolina Castagna, Andrew Huff, Aaron Douglas, Phd, Matteo Garofano, Massimo Fabi, Richard W. Hass, Vittorio Maio

College of Population Health Faculty Papers

BACKGROUND: Risk stratification is a population health management approach that classifies patients according to their health risks and projected care needs. This strategy is especially valuable in primary care, where timely interventions for high-risk individuals can lead to better health outcomes, reduced healthcare expenditures, and a more sustainable healthcare system. The goal of this study was to establish expert consensus on the clinical and sociodemographic patient factors that should be incorporated into a primary care risk stratification tool.

METHODS: A multidisciplinary expert panel of 24 healthcare professionals, including primary care providers (PCPs), specialists, and allied health professionals, was convened in …

Smartboot: Real-Time Monitoring Of Patient Activity Via Remote Edge Computing Technologies, Gozde Cay, Myeounggon Lee, David G Armstrong, Bijan Najafi

Center on Aging Staff Publications

Diabetic foot ulcers (DFUs) are a serious complication of diabetes, associated with high recurrence and amputation rates. Adherence to offloading devices is critical for wound healing but remains inadequately monitored in real-world settings. This study evaluates the SmartBoot edge-computing system-a wearable, real-time remote monitoring solution integrating an inertial measurement unit (Sensoria Core) and smartwatch-for its validity in quantifying cadence and step count as digital biomarkers of frailty, and for detecting adherence. Twelve healthy adults wore two types of removable offloading boots (Össur and Foot Defender) during walking tasks at varied speeds; system outputs were validated against a gold-standard wearable and …

Impact Of Sars-Cov-2 On Healthcare And Essential Workers: A Longitudinal Study Of Promis-29 Outcomes, Jocelyn Dorney, Imtiaz Ebna Mannan, Caitlin Malicki, Lauren E. Wisk, Joann Elmore, Kelli N. O'Laughlin, Dana Morse, Kristyn Gatling, Michael Gottlieb, Michelle Santangelo, Michelle L'Hommedieu, Nicole L. Gentile, Sharon Saydah, Mandy J. Hill, Ryan Huebinger, Katherine Riley Martin, Ahamed H. Idris, Efrat Kean, Kevin Schaeffer, Robert M. Rodriguez, Robert A. Weinstein, Erica S. Spatz, Inspire Group

Department of Emergency Medicine Faculty Papers

IMPORTANCE: The mandatory service of essential workers during the COVID-19 pandemic was associated with high job stress, increased SARS-CoV-2 exposure, and limited time for recovery following infection. Understanding outcomes for frontline workers can inform planning for future pandemics.

OBJECTIVE: To compare patient-reported outcomes by employment type and SARS-CoV-2 status.

DESIGN: Data from the INSPIRE registry, which enrolled COVID-positive and COVID-negative adults between 12/7/2020-8/29/2022 was analyzed. Patient-reported outcomes were collected quarterly over 18 months.

SETTING: Participants were recruited across eight US sites.

PARTICIPANTS: Employed INSPIRE participants who completed a short (3-month) and long-term (12-18 month) survey.

EXPOSURE: SARS-CoV-2 index status and …

The Impact Of Inorganic Nitrate On Endothelial Function: A Systematic Review Of Randomized Controlled Trials And Meta-Analysis, Esther Muriuki

School of Health Professions

Context: Inorganic nitrate is an exogenous source of nitric oxide, an established regulator of vascular homeostasis via the nitrate-nitrite-nitric oxide pathway. Here, we evaluate the impact of inorganic nitrate on endothelial function, a risk factor for cardiovascular disease. Objective: A systematic review of the existing literature and meta-analysis was performed. Trials testing inorganic nitrate compared with a control were selected and the change in forearm endothelial function (as assessed by flow-mediated dilatation [FMD]) were included. Data Sources: The following databases were searched: Medline, Web of Science, and Scopus. Data Extraction: and Analysis Standardized mean differences in %FMD were pooled using …

Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie

Faculty, Staff and Student Publications

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …

A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang

Faculty, Staff and Student Publications

Early prediction of treatment response can facilitate personalized treatment for breast cancer patients. Studies on the I-SPY 2 clinical trial demonstrate that multi-time point dynamic contrast-enhanced magnetic resonance (DCEMR) imaging improves the accuracy of predicting pathological complete response (pCR) to chemotherapy. However, previous image-based prediction models usually rely on mid- or post-treatment images to ensure the accuracy of prediction, which may outweigh the benefit of response-based adaptive treatment strategy. Accurately predicting the pCR at the early time point is desired yet remains challenging. To improve prediction accuracy at the early time point of treatment, we proposed a two-stage dual-task learning …

Transcriptomic Analysis Of Localized High-Risk Prostate Cancer Improves Prognostication And Identifies Benefit From Adding Docetaxel To Definitive Radiotherapy With Androgen Suppression In The Nrg Oncology/Rtog 0521 Phase 3 Trial, Ryan M. Phillips, James A. Proudfoot, Elai Davicioni, Yang Liu, Daniel E. Spratt, Jeff M. Simko, Robert Den, Alan Pollack, Seth A. Rosenthal, A. Oliver Sartor, Christopher J. Sweeney, Gerhardt Attard, Leslie Longoria, Samir Patel, Michael W. Straza, Jason A. Efstathiou, Amit B. Shah, Karen E. Hoffman, Joseph P. Rodgers, Howard M. Sandler, Felix Y. Feng, Phuoc T. Tran

Jefferson Hospital Staff Papers and Presentations

BACKGROUND AND OBJECTIVE: NRG/RTOG 0521 randomized men with high-risk localized prostate cancer (PC) to androgen suppression (AS) and definitive radiotherapy (RT) ± docetaxel-based chemotherapy (CT). The overall survival (OS) benefit with CT initially reported was lost on longer follow-up. The Decipher genomic classifier (GC) measures multiple transcripts relevant to docetaxel action. Basal/luminal differentiation portends differential response to AS and CT for high-risk localized and metastatic hormone-sensitive PC. We validated the Decipher GC in pretreatment biopsy samples for risk stratification and examined basal-luminal subtyping to predict docetaxel response.

METHODS: Decipher GC scores and basal-luminal cellular subtypes were generated for specimens from …

Patient-Centered, Theory-Based, Online Intervention To Promote A Physically Active Lifestyle For People With Multiple Sclerosis: Protocol For A Randomized Controlled Trial, Chungyi Chiu, Vaishnavi Sridharan, Mojtaba Khaliji, Md Refat Uz Zaman Sajib, Xiaotian Gao, Kathleen Zackowski

Children’s Nutrition Research Center Staff Publications

Background: People with multiple sclerosis (MS) experience life challenges due to the nature of disease progression. Although an active lifestyle has been shown effective for symptom and relapse management, most people with MS lead a sedentary lifestyle and do not reach the recommended physical activity (PA) guidelines.

Objective: This study aims to test the preliminary efficacy of a codeveloped, online self-management intervention based on the health action process approach (HAPA) adapted for people with MS to cultivate a physically active lifestyle.

Methods: The 8-week intervention program was developed using community-based participatory research based on the HAPA. The program includes increasing …

Utility Of The Us Preventive Services Task Force For Preeclampsia Risk Assessment And Aspirin Prophylaxis, Thomas Mcelrath, Arun Jeyabalan, Arkady Khodursky, Alison Moe, Manfred Lee, Maneesh Jain, Laura Goetzl, Elizabeth Sutton, Pamela Simmons, George Saade, Antonio Saad, Luis Pacheco, Esther Park-Hwang, Antonina Frolova, Ebony Carter, Ai-Ris Collier, Daniel Kiefer, Vincenzo Berghella, Rupsa Boelig, Michal Elovitz, Cynthia Gyamfi-Bannerman, Joseph Biggio, Kara Rood, William Grobman, Carrie Haverty, Morten Rasmussen

Department of Obstetrics and Gynecology Faculty Papers

IMPORTANCE: The US Preventive Services Task Force (USPSTF) guidelines on preeclampsia risk assessment and aspirin prophylaxis (AP) have not been evaluated for clinical utility.

OBJECTIVE: To evaluate which characteristics in the USPSTF guidelines identify risk status and the association of preeclampsia risk with AP recommendations.

DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study enrolled from July 2020 to March 2023 with data analysis performed from October to December 2024. Enrollment occurred at 11 centers throughout the US or via direct-to-participant recruitment. Pregnant participants aged 18 years or older with a singleton pregnancy less than 22 weeks' gestation were selected via …

Risk Factors For In-Stent Stenosis After Flow-Diverter Implantation For Intracranial Aneurysm: A Single Center Analysis Of 161 Consecutive Patients, Rabab Alshahrani, Spyridon Karadimas, Mohammed Ali Alvi, Patrick Joseph Nicholson, Timo Krings

Department of Neurosurgery Faculty Papers

INTRODUCTION: Flow diverters (FD) are used for the treatment of intracranial aneurysms, by redirecting flow and serving as a scaffold for endothelial coverage of the aneurysm ostium. However, in-stent stenosis has been observed in some patients treated with these devices, the cause of which and the epidemiology remaining elusive. In the current study we aimed to elucidate potential factors leading to higher degree of in-stent stenosis including gender, location, and type of FD.

METHODS: The authors queried their institutional Electronic Health Record (EHR) for all patients undergoing FD for intracranial saccular aneurysms. We excluded cases where an FD was performed …

Engaging Trusted Messengers In Public Health Response: Key Strategies To Building Community Trust Among Cdc’S Prevention Research Center’S Vaccine Confidence Network, Emily Stiehl, Amy Borg, John P Cullen, Anaïs Mendiola, Olivia Dominguez, Danielle Pester, Shan Qiao, Pooja Gandhi, Nicole Kuiper, Princilla Minkah, Shekwonya Samuel, Stephen Flores, Richard Quartarone, Grace W Ryan, Paula Cuccaro, Maria E Fernández, Sage Kim

Faculty, Staff and Student Publications

As part of Centers for Disease Control and Prevention's (CDC) Prevention Research Center (PRC) Vaccine Confidence Network (PRC VCN), 26 academic institutions were funded to increase COVID-19 vaccine confidence and uptake in their communities. Six sites (in communities located in Alabama, Illinois, Massachusetts, New York, South Carolina, and Texas) formed a workgroup to identify emergent themes, and share challenges and opportunities across projects. This essay describes their efforts to engage trusted messengers in vaccine activities, and discusses strategies to develop and sustain these types of partnerships in the future. All sites recruited trusted messengers with strong community relationships to engage …

Efficacy Of A Novel Bcl-Xl Degrader, Dt2216, In Preclinical Models Of Jak2-Mutated Post-Mpn Aml, Zhe Wang, Anna Skwarska, Gowri Poigaialwar, Sovira Chaudhry, Alba Rodriguez-Meira, Pinpin Sui, Emmanuel Olivier, Yannan Jia, Varun Gupta, Warren Fiskus, Cassandra L Ramage, Guangrong Zheng, Alexandra Schurer, Kira Gritsman, Eirini P Papapetrou, Kapil Bhalla, Daohong Zhou, Adam J Mead, Raajit K Rampal, Jeffrey W Tyner, Hussein A Abbas, Naveen Pemmaraju, Qi Zhang Tatarata, Marina Konopleva

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) that evolves from myeloproliferative neoplasm (MPN) is known as post-MPN AML. Current treatments do not significantly extend survival beyond 12 months. B-cell lymphoma-extra large (BCL-xL) has been found to be overexpressed in leucocytes from patients with MPN, making it a potential therapeutic target. We investigated the role of BCL-xL in post-MPN AML and tested the efficacy of DT2216, a platelet-sparing BCL-xL proteolysis-targeting chimera, in preclinical models of post-MPN AML. We found that BCL2L1, the gene encoding BCL-xL, is expressed at higher levels in patients with post-MPN AML than in those with de novo AML. Single-cell multiomics …

Multi-Ancestry Genome-Wide Meta-Analysis Of 56,241 Individuals Identifies Known And Novel Cross-Population And Ancestry-Specific Associations As Novel Risk Loci For Alzheimer’S Disease, Farid Rajabli, Penelope Benchek, Giuseppe Tosto, Nicholas Kushch, Jin Sha, Katrina Bazemore, Congcong Zhu, Wan-Ping Lee, Jacob Haut, Kara L Hamilton-Nelson, Nicholas R Wheeler, Yi Zhao, John J Farrell, Michelle A Grunin, Yuk Yee Leung, Pavel P Kuksa, Donghe Li, Eder Lucio Da Fonseca, Jesse B Mez, Ellen L Palmer, Jagan Pillai, Richard M Sherva, Yeunjoo E Song, Xiaoling Zhang, Takeshi Ikeuchi, Taha Iqbal, Omkar Pathak, Otto Valladares, Dolly Reyes-Dumeyer, Amanda B Kuzma, Erin Abner, Larry D Adams, Perrie M Adams, Alyssa Aguirre, Marilyn S Albert, Roger L Albin, Mariet Allen, Lisa Alvarez, Liana G Apostolova, Steven E Arnold, Sanjay Asthana, Craig S Atwood, Sanford Auerbach, Gayle Ayres, Clinton T Baldwin, Robert C Barber, Lisa L Barnes, Sandra Barral, Thomas G Beach, James T Becker, Gary W Beecham, Duane Beekly, Bruno A Benitez, David Bennett, John Bertelson, Thomas D Bird, Deborah Blacker, Bradley F Boeve, James D Bowen, Adam Boxer, James Brewer, James R Burke, Jeffrey M Burns, Joseph D Buxbaum, Nigel J Cairns, Laura B Cantwell, Chuanhai Cao, Christopher S Carlson, Cynthia M Carlsson, Regina M Carney, Minerva M Carrasquillo, Scott Chasse, Marie-Francoise Chesselet, Nathaniel A Chin, Helena C Chui, Jaeyoon Chung, Suzanne Craft, Paul K Crane, David H Cribbs, Elizabeth A Crocco, Carlos Cruchaga, Michael L Cuccaro, Munro Cullum, Eveleen Darby, Barbara Davis, Philip L De Jager, Charles Decarli, John Detoledo, Malcolm Dick, Dennis W Dickson, Beth A Dombroski, Rachelle S Doody, Ranjan Duara, Nilüfer Ertekin-Taner, Denis A Evans, Kelley M Faber, Thomas J Fairchild, Kenneth B Fallon, David W Fardo, Martin R Farlow, Victoria Fernandez-Hernandez, Steven Ferris, Robert P Friedland, Tatiana M Foroud, Matthew P Frosch, Brian Fulton-Howard, Douglas R Galasko, Adriana Gamboa, Marla Gearing, Daniel H Geschwind, Bernardino Ghetti, John R Gilbert, Rodney C P Go, Alison M Goate, Thomas J Grabowski, Neill R Graff-Radford, Robert C Green, John H Growdon, Hakon Hakonarson, James Hall, Ronald L Hamilton, Oscar Harari, John Hardy, Lindy E Harrell, Elizabeth Head, Victor W Henderson, Michelle Hernandez, Timothy Hohman, Lawrence S Honig, Ryan M Huebinger, Matthew J Huentelman, Christine M Hulette, Bradley T Hyman, Linda S Hynan, Laura Ibanez, Gail P Jarvik, Suman Jayadev, Lee-Way Jin, Kim Johnson, Leigh Johnson, M Ilyas Kamboh, Anna M Karydas, Mindy J Katz, John S Kauwe, Jeffrey A Kaye, C Dirk Keene, Aisha Khaleeq, Masataka Kikuchi, Ronald Kim, Janice Knebl, Neil W Kowall, Joel H Kramer, Walter A Kukull, Frank M Laferla, James J Lah, Eric B Larson, Alan Lerner, James B Leverenz, Allan I Levey, Andrew P Lieberman, Richard B Lipton, Mark Logue, Oscar L Lopez, Kathryn L Lunetta, Constantine G Lyketsos, Douglas Mains, Flanagan E Margaret, Daniel C Marson, Eden Rr Martin, Frank Martiniuk, Deborah C Mash, Eliezer Masliah, Paul Massman, Arjun Masurkar, Wayne C Mccormick, Susan M Mccurry, Andrew N Mcdavid, Stefan Mcdonough, Ann C Mckee, Marsel Mesulam, Bruce L Miller, Carol A Miller, Joshua W Miller, Thomas J Montine, Edwin S Monuki, John C Morris, Shubhabrata Mukherjee, Amanda J Myers, Trung Nguyen, Thomas Obisesan, Sid O'Bryant, John M Olichney, Marcia Ory, Raymond Palmer, Joseph E Parisi, Henry L Paulson, Valory Pavlik, David Paydarfar, Victoria Perez, Elaine Peskind, Ronald C Petersen, Helen Petrovitch, Aimee Pierce, Marsha Polk, Wayne W Poon, Huntington Potter, Liming Qu, Mary Quiceno, Joseph F Quinn, Ashok Raj, Murray Raskind, Eric M Reiman, Barry Reisberg, Joan S Reisch, John M Ringman, Erik D Roberson, Monica Rodriguear, Ekaterina Rogaeva, Howard J Rosen, Roger N Rosenberg, Donald R Royall, Marwan Sabbagh, A Dessa Sadovnick, Mark A Sager, Mary Sano, Andrew J Saykin, Julie A Schneider, Lon S Schneider, William W Seeley, Susan H Slifer, Scott Small, Amanda G Smith, Janet P Smith, Joshua A Sonnen, Salvatore Spina, Peter St George-Hyslop, Takiyah D Starks, Robert A Stern, Alan B Stevens, Stephen M Strittmatter, David Sultzer, Russell H Swerdlow, Rudolph E Tanzi, Jeffrey L Tilson, John Q Trojanowski, Juan C Troncoso, Magda Tsolaki, Debby W Tsuang, Vivianna M Van Deerlin, Linda J Van Eldik, Jeffery M Vance, Badri N Vardarajan, Robert Vassar, Harry V Vinters, Jean-Paul Vonsattel, Sandra Weintraub, Kathleen A Welsh-Bohmer, Patrice L Whitehead, Ellen M Wijsman, Kirk C Wilhelmsen, Benjamin Williams, Jennifer Williamson, Henrik Wilms, Thomas S Wingo, Thomas Wisniewski, Randall L Woltjer, Martin Woon, Clinton B Wright, Chuang-Kuo Wu, Steven G Younkin, Chang-En Yu, Lei Yu, Xiongwei Zhu, Brian W Kunkle, William S Bush, Akinori Miyashita, Goldie S Byrd, Li-San Wang, Lindsay A Farrer, Jonathan L Haines, Richard Mayeux, Margaret A Pericak-Vance, Gerard D Schellenberg, Gyungah R Jun, Christiane Reitz, Adam C Naj, Alzheimer’S Disease Genetics Consortium (Adgc)

Faculty, Staff and Students Publications

Background: Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer's Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer's disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis.

Results: We identify 13 loci with cross-population associations including known loci at/near CR1, …

Prognostic Gene Expression And Microrna Profiling Signatures And Genetic Alterations In Primary Testicular Diffuse Large B-Cell Lymphoma, Wenyu Shi, Zijun Y Xu-Monette, Youchao Jia, Alexandar Tzankov, Heounjeong Go, Ling Li, Maurilio Ponzoni, Yafei Wang, Qiongli Zhai, Anamarija M Perry, Shi Wang, Xiaoxiao Wang, April Chiu, Mina L Xu, Carlo Visco, Karen Dybkaer, Henry Withers, Mark Long, Alyssa F Yuan, Yi Miao, Everardo Macias, Dehong Wu, Wen Shuai, Bangchen Wang, Jianyong Li, Govind Bhagat, Youli Zu, Zenggang Pan, William Choi, Santiago Montes-Moreno, Weina Chen, J Han Van Krieken, Michael B Møller, Xinfang Yu, Benjamin M Parsons, Shanxiang Zhang, Eric D Hsi, Aliyah R Sohani, Jeremy S Abramson, Andrés J M Ferreri, Bing Xu, Yong Li, Ken H Young

Faculty, Staff and Students Publications

Primary testicular (PT) diffuse large B-cell lymphoma (DLBCL) is a rare and aggressive lymphoma with distinct clinical and molecular characteristics. To identify prognostic biomarkers in PT-DLBCL, in this study we analyzed DNA and RNA samples of PT-DLBCL tumors from 206 patients using next-generation sequencing platforms and assays. Genetic alteration analysis found that multiple chromosomal copy number variations (CNVs), TP53 transcript mutations with high variant allele frequency, and MCD subtype had significantly adverse prognostic effects, whereas elevated microsatellite instability had a significantly favorable prognostic effect in PT-DLBCL. Targeted RNA-seq analysis identified a PTL gene expression signature by comparing PT-DLBCL with systemic …

Sensing The Stiffness: Cellular Mechano-Sensing At The Implant Interface, Patricia S Pardo, Delia Danila, Raja Devesh Kumar Misra, Aladin M Boriek

Faculty, Staff and Students Publications

In this perspective, we highlight the relevance of the FA-Hippo signaling pathway and its regulation of the Yes-associated protein (YAP) and the transcriptional coactivator with a PDZ-binding domain (TAZ) as main players in the process of implants integration. The modulation and responses of YAP/TAZ triggered by substrate and ECM stiffness are of particular interest in the construction of materials used for medical implants. YAP/TAZ nuclear localization and activity respond to the substrate stiffness by several mechanisms that involve the canonical and non-canonical Hippo signaling and independently of the Hippo cascade. YAP/TAZ regulate the expression of genes involved in several mechanisms …

Integrative Spatial Omics Reveals Distinct Tumor-Promoting Multicellular Niches And Immunosuppressive Mechanisms In Black American And White American Patients With Tnbc, Qian Zhu, Akhila Balasubramanian, Jaya Ruth Asirvatham, Megha Chatterjee, Badrajee Piyarathna, Jaspreet Kaur, Nada Mohamed, Ling Wu, Stacy Wang, Niloufar Pourfarrokh, Paula Danika Binsol, Mahak Bhargava, Uttam Rasaily, Yitian Xu, Junjun Zheng, Deborah Jebakumar, Arundhati Rao, Carolina Gutierrez, Angela R Omilian, Carl Morrison, Gokul M Das, Christine Ambrosone, Erin H Seeley, Shu-Hsia Chen, Yi Li, Eric Chang, Xiaoxian Li, Elizabeth Baker, Ritu Aneja, Xiang H-F Zhang, Arun Sreekumar

Center on Aging Staff Publications

Racial disparities in the clinical outcomes of triple-negative breast cancer (TNBC) have been well-documented, but the underlying biological mechanisms remain poorly understood. To investigate these disparities, we employed a multi-omic approach integrating imaging mass cytometry and spatial transcriptomics to characterize the tumor microenvironment (TME) in self-identified Black American (BA) and White American (WA) TNBC patients. Our analysis revealed that the TME in BA patients is marked by a network of endothelial cells, macrophages, and mesenchymal-like cells, which correlates with reduced patient survival. In contrast, the WA TNBC microenvironment is enriched in T-cells and neutrophils, indicative of T-cell exhaustion and suppressed …

The Effectiveness Of Medical Nutrition Therapy For People At Moderate To High Risk Of Cardiovascular Disease In An Australian Rural Primary Care Setting: 12-Month Results From A Pragmatic Cluster Randomised Controlled Trial, Tracy L. Schumacher, Anna Jansson, Jaimee Herbert, Erin D. Clarke, Carissa Alderton, Penny Milson, Christopher Oldmeadow, Leanne J. Brown, Megan E. Rollo, Annabelle Williams, M Com Nutr, Michelle Guppy, Andrew Boyle, Shanthi Ramanathan, Jennifer T. May Phd, Rn, Anp-Bc, John Attia, Clare E. Collins

Publications

PURPOSE: To reduce risk of cardiovascular disease (CVD) in adults, as assessed by primary care doctors in rural NSW, Australia. Medical nutrition therapy (MNT) was delivered by Accredited Practicing Dietitians (APDs) using telehealth. METHODS: The study was a 12-month pragmatic cluster randomised controlled trial. All primary care practices (PCPs) within a large rural region were invited to participate, with enrolled practices stratified based on rurality and practice size. Patients at moderate to high CVD risk were recruited via practices. Usual care (UC) was provided by the patient's general practitioner (GP). In addition to UC, the intervention group received two hours …

Development And Extensive Sequencing Of A Broadly-Consented Genome In A Bottle Matched Tumor-Normal Pair, Jennifer H Mcdaniel, Vaidehi Patel, Nathan D Olson, Hua-Jun He, Zhiyong He, Kenneth D Cole, Alexander A Gooden, Anthony Schmitt, Kristin Sikkink, Fritz J Sedlazeck, Harsha Doddapaneni, Shalini N Jhangiani, Donna M Muzny, Marie-Claude Gingras, Heer Mehta, Sairam Behera, Luis F Paulin, Alex R Hastie, Hung-Chun Yu, Victor Weigman, Alison Rojas, Katie Kennedy, Jamie Remington, Isai Salas-González, Mitch Sudkamp, Kelly Wiseman, Bryan R Lajoie, Shawn Levy, Miten Jain, Stuart Akeson, Giuseppe Narzisi, Zoe Steinsnyder, Catherine Reeves, Jennifer Shelton, Sarah B Kingan, Christine Lambert, Primo Baybayan, Aaron M Wenger, Ian J Mclaughlin, Aaron Adamson, Christopher Kingsley, Melanie Wescott, Young Kim, Benedict Paten, Jimin Park, Ivo Violich, Karen H Miga, Joshua Gardner, Brandy Mcnulty, Gail L Rosen, Rajiv Mccoy, Francesco Brundu, Erfan Sayyari, Konrad Scheffler, Sean Truong, Severine Catreux, Lesley Chapman Hannah, Doron Lipson, Hila Benjamin, Nika Iremadze, Ilya Soifer, Gat Krieger, Stephen Eacker, Mary Wood, Erin Cross, Greg Husar, Stephen Gross, Michael Vernich, Mikhail Kolmogorov, Tanveer Ahmad, Ayse G Keskus, Asher Bryant, Francoise Thibaud-Nissen, Jonathan Trow, Jacqueline Proszynski, Jeremy Wain Hirschberg, Krista Ryon, Christopher E Mason, Mital S Bhakta, J Zachary Sanborn, Elizabeth M Munding, Justin Wagner, Chunlin Xiao, Andrew S Liss, Justin M Zook

Faculty, Staff and Students Publications

The Genome in a Bottle Consortium (GIAB), hosted by the National Institute of Standards and Technology (NIST), is developing new matched tumor-normal samples, the first explicitly consented for public dissemination of genomic data and cell lines. Here, we describe a comprehensive genomic dataset from the first individual, HG008, including DNA from an adherent, epithelial-like pancreatic ductal adenocarcinoma (PDAC) tumor cell line and matched normal cells from duodenal and pancreatic tissues. Data for the tumor-normal matched samples comes from seventeen distinct state-of-the-art whole genome measurement technologies, including high depth short and long-read bulk whole genome sequencing (WGS), single cell WGS, Hi-C, …

Spase: Spatially Resolved Pathology Scores Using Optimal Transport On Spatial Transcriptomics Data, Mohammad Nuwaisir Rahman, Mohammed Abid Abrar, Vikram Rakesh Shaw, James F Martin, M Saifur Rahman, Md Abul Hassan Samee

Faculty, Staff and Students Publications

Pathological events often impact tissue regions in a spatial variable manner, making it challenging to identify therapeutic targets. Spatial transcriptomics (ST) is a powerful technology to map spatially variable molecular mechanisms, yet suitable analytical methods have been lacking. We introduce SPaSE (Spatially-resolved Pathology ScorE), an optimal transport-based algorithm to compare ST data from diseased and control tissues. SPaSE computes a “pathology score” for each spot in the diseased sample, quantifying the pathological impact at that spot. In post-MI (myocardial infarction) mouse hearts, these scores delineated zones that matched independent expert annotations. Modeling pathology scores from gene expression revealed signatures predictive …

Priority Ir: Protocol For Implementation Research On Single-Dose Postpartum Iv Iron To Treat Iron-Deficiency Anemia Among Women In India And Pakistan, Valerie L. Flax, Narjis Rizvi, Umesh Charantimath, Saleem Jessani, Avinash Kavi, Sarah Saleem, Manjunath Somannavar, Shivaprasad S. Goudar, Anika Hannan, Elizabeth M. Mcclure, Simal Thind, Rosemary Frasso, Richard Derman

Global Health Articles

BACKGROUND: Anemia among women of reproductive age has remained highly prevalent globally. Intravenous (IV) iron is well tolerated and proven effective for treating postpartum iron deficiency anemia in high-income countries, but evidence from LMICs, where oral iron is standard treatment, is limited. The PRIORITY trial will test the effectiveness of IV iron compared to oral iron for postpartum women with moderate anemia in eight LMIC sites. An implementation research (IR) study will be conducted alongside the PRIORITY trial in India and Pakistan to gather information on the intervention characteristics and the implementation process, and to assess feasibility, acceptability, fidelity, and …

Predictors Of Final Visual Outcome In Patients With Leber Hereditary Optic Neuropathy Treated With Lenadogene Nolparvovec Gene Therapy, Robert C Sergott, Valerio Carelli, Nancy Newman, Valérie Biousse, Patrick Yu-Wai-Man, Catherine Vignal-Clermont, Constant Josse, Magali Taiel, José-Alain Sahel, Piero Barboni

Wills Eye Hospital Papers

PURPOSE: This exploratory analysis aimed to identify predictive factors of final best-corrected visual acuity (BCVA) in patients with Leber hereditary optic neuropathy (LHON) harboring the m.11778G>A mutation who received lenadogene nolparvovec gene therapy.

METHODS: The following covariates were individually evaluated as possible factors associated with improved final BCVA: age, gender, timing of treatment, baseline BCVA value, and baseline optical coherence tomography (OCT) parameters. Univariate analyses were performed from three phase 3 studies (RESCUE, REVERSE, and REFLECT), using BCVA at 1.5 years post-treatment as the dependent variable.

RESULTS: In 113 eyes treated at least 6 months after disease onset, the …

Technology Roadmap Of Micro/Nanorobots, Xiaohui Ju, Chuanrui Chen, Cagatay M Oral, Semih Sevim, Ramin Golestanian, Mengmeng Sun, Negin Bouzari, Xiankun Lin, Mario Urso, Jong Seok Nam, Yujang Cho, Xia Peng, Fabian C Landers, Shihao Yang, Azin Adibi, Nahid Taz, Raphael Wittkowski, Daniel Ahmed, Wei Wang, Veronika Magdanz, Mariana Medina-Sánchez, Maria Guix, Naimat Bari, Bahareh Behkam, Raymond Kapral, Yaxin Huang, Jinyao Tang, Ben Wang, Konstantin Morozov, Alexander Leshansky, Sarmad Ahmad Abbasi, Hongsoo Choi, Subhadip Ghosh, Bárbara Borges Fernandes, Giuseppe Battaglia, Peer Fischer, Ambarish Ghosh, Beatriz Jurado Sánchez, Alberto Escarpa, Quentin Martinet, Jérémie Palacci, Eric Lauga, Jeffrey Moran, Miguel A Ramos-Docampo, Brigitte Städler, Ramón Santiago Herrera Restrepo, Gilad Yossifon, James D Nicholas, Jordi Ignés-Mullol, Josep Puigmartí-Luis, Yutong Liu, Lauren D Zarzar, C Wyatt Shields, Longqiu Li, Shanshan Li, Xing Ma, David H Gracias, Orlin Velev, Samuel Sánchez, Maria Jose Esplandiu, Juliane Simmchen, Antonio Lobosco, Sarthak Misra, Zhiguang Wu, Jinxing Li, Alexander Kuhn, Amir Nourhani, Tijana Maric, Ze Xiong, Amirreza Aghakhani, Yongfeng Mei, Yingfeng Tu, Fei Peng, Eric Diller, Mahmut Selman Sakar, Ayusman Sen, Junhui Law, Yu Sun, Abdon Pena-Francesch, Katherine Villa, Huaizhi Li, Donglei Emma Fan, Kang Liang, Tony Jun Huang, Xiang-Zhong Chen, Songsong Tang, Xueji Zhang, Jizhai Cui, Hong Wang, Wei Gao, Vineeth Kumar Bandari, Oliver G Schmidt, Xianghua Wu, Jianguo Guan, Metin Sitti, Bradley J Nelson, Salvador Pané, Li Zhang, Hamed Shahsavan, Qiang He, Il-Doo Kim, Joseph Wang, Martin Pumera

Faculty, Staff and Student Publications

Inspired by Richard Feynman’s 1959 lecture and the 1966 film Fantastic Voyage, the field of micro/nanorobots has evolved from science fiction to reality, with significant advancements in biomedical and environmental applications. Despite the rapid progress, the deployment of functional micro/nanorobots remains limited. This review of the technology roadmap identifies key challenges hindering their widespread use, focusing on propulsion mechanisms, fundamental theoretical aspects, collective behavior, material design, and embodied intelligence. We explore the current state of micro/nanorobot technology, with an emphasis on applications in biomedicine, environmental remediation, analytical sensing, and other industrial technological aspects. Additionally, we analyze issues related to …

Facts And Hopes: Toward The Next Quantum Leap In Melanoma, Keith T Flaherty, Andrew E Aplin, Michael A Davies, Nir Hacohen, Meenhard Herlyn, Dave Hoon, Patrick Hwu, Michal Lotem, James Mulé, Jennifer A Wargo, David E Fisher

Faculty, Staff and Student Publications

Outcomes from advanced melanoma, the deadliest of the skin cancers arising from melanocytes and capable of widely metastasizing, have greatly improved, with death rates decreasing for patients with American Joint Committee on Cancer stage 4 melanoma by 3% to 5% annually over the past 10 years. This improvement is a result of advances in both targeted therapy and immunotherapy. BRAF and MEK inhibitors for advanced melanoma have led the way for targeted cancer strategies and first-in-class approvals for immune checkpoint blockers targeting CTLA4, PD-1, and LAG3; T-cell engager therapy targeting the antigen gp100; and tumor-infiltrating lymphocyte therapy. All of these …

Epha4 Signaling Dysregulation Links Abnormal Locomotion And The Development Of Idiopathic Scoliosis, Lianlei Wang, Xinyu Yang, Sen Zhao, Pengfei Zheng, Wen Wen, Kexin Xu, Xi Cheng, Qing Li, Anas M Khanshour, Yoshinao Koike, Junjun Liu, Xin Fan, Nao Otomo, Zefu Chen, Yaqi Li, Lulu Li, Haibo Xie, Panpan Zhu, Xiaoxin Li, Yuchen Niu, Shengru Wang, Sen Liu, Suomao Yuan, Chikashi Terao, Ziquan Li, Shaoke Chen, Xiuli Zhao, Pengfei Liu, Jennifer E Posey, Zhihong Wu, Guixing Qiu, Disco Study Group (Deciphering Disorders Involving Scoliosis & Comorbidities), Shiro Ikegawa, James R Lupski, Jonathan J Rios, Carol A Wise, Jianguo T Zhang, Chengtian Zhao, Nan Wu

Faculty, Staff and Students Publications

Idiopathic scoliosis (IS) is the most common form of spinal deformity with unclear pathogenesis. In this study, we first reanalyzed the loci associated with IS, drawing upon previous studies. Subsequently, we mapped these loci to candidate genes using either location-based or function-based strategies. To further substantiate our findings, we verified the enrichment of variants within these candidate genes across several large IS cohorts encompassing Chinese, East Asian, and European populations. Consequently, we identified variants in the EPHA4 gene as compelling candidates for IS. To confirm their pathogenicity, we generated zebrafish mutants of epha4a. Remarkably, the zebrafish epha4a mutants exhibited …

Role Of Lipoprotein(A) In Atherosclerotic Cardiovascular Disease In South Asian Individuals, Darshan Patel, Marlys L Koschinsky, Anandita Agarwala, Pradeep Natarajan, Harpreet S Bhatia, Anurag Mehta, Jaideep Patel, Matthew Peters, Shreya Pandya, Usman Sagheer, Raman Puri, Salim S Virani, Dinesh K Kalra

Faculty, Staff and Students Publications

South Asian individuals (SA), representing approximately one quarter of the global population, experience a disproportionately high burden of cardiovascular disease. Some of this increased susceptibility is accounted for by traditional risk factors such as diabetes, hypertension, carbohydrate-rich diets, and rising rates of obesity and metabolic syndrome. However, other previously underappreciated risk factors may also play a crucial role. These include environmental pollution, genetic factors, and Lp(a) (lipoprotein(a)). Various epidemiological and genetic studies support the role of Lp(a) as a causal and independent risk factor for atherosclerotic cardiovascular disease. SA have a higher prevalence of elevated Lp(a) levels (25% have levels …

Parietal Cortex Is Recruited By Frontal And Cingulate Areas To Support Action Monitoring And Updating During Stopping, Jung Uk Kang, Layth Mattar, José Vergara, Victoria E Gobo, Hernan G Rey, Sarah R Heilbronner, Andrew J Watrous, Benjamin Y Hayden, Sameer A Sheth, Eleonora Bartoli

Faculty, Staff and Students Publications

Recent evidence indicates that the intraparietal sulcus (IPS) may play a causal role in action stopping, potentially representing a novel neuromodulation target for inhibitory control dysfunctions. Here, we leverage intracranial recordings in human subjects to establish the timing and directionality of information flow between IPS and prefrontal and cingulate regions during action stopping. Prior to successful inhibition, information flows primarily from the inferior frontal gyrus (IFG), a critical inhibitory control node, to IPS. In contrast, during stopping errors the communication between IPS and IFG is lacking, and IPS is engaged by posterior cingulate cortex, an area outside of the classical …

Serum Metabolomic Profiling Of Incident Type 2 Diabetes Mellitus In The Multi-Ethnic Study Of Atherosclerosis And Rotterdam Study, Xuanwei Jiang, Fang Zhu, Gonçalo Graça, Xihao Du, Jinjun Ran, Fariba Ahmadizar, Alexis C Wood, Yanqiu Zhou, Denise M Scholtens, Ali Farzaneh, M Arfan Ikram, Alan Kuang, Carel W Le Roux, Meghana D Gadgil, Marilyn C Cornelis, Kent D Taylor, Xiuqing Guo, Mohsen Ghanbari, Laura J Rasmussen-Torvik, Russell P Tracy, Alain G Bertoni, Jerome I Rotter, David M Herrington, Philip Greenland, Maryam Kavousi, Victor W Zhong

Children’s Nutrition Research Center Staff Publications

Objective: This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction.

Methods: Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 3460; discovery cohort) and The Rotterdam Study (RS; n = 1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23 571 serum metabolomic spectral variables and incident T2DM. Replicated metabolites required an false discovery rate-adjusted P < .01 in MESA, P < .05 in RS, and consistent direction of association. Pathway and network analyses were conducted to elucidate biological mechanisms underlying T2DM development. The utility of the replicated metabolites in improving T2DM risk prediction was assessed based on the Framingham Diabetes Risk Score. A 2-sample Mendelian randomization was conducted to assess causal associations.

Results: Nineteen metabolites were significantly associated with incident T2DM. Pathway analyses …

Resilience And Traumatic Stress Among Latinx English Language Learners: A Cross-Sectional Study Of Students From An Urban School District, Roya Ijadi-Maghsoodi, Sara Rahmanian Koushkaki, Alexandra Klomhaus, Hilary Aralis, Angela Venegas-Murillo, Lauren Marlotte, Sameera Siddiqi, Kungeun Lee, Shirley A De La Cruz, Sheryl Kataoka

Staff and Researcher Publications

Background: Latinx students in the United States can face stressors and structural inequities that can lead to poor academic and mental health outcomes. They comprise 76% of the English Language Learner (ELL) population, yet little is known about the relationship between ELL status and traumatic stress and resilience outcomes among these Latinx students. We sought to see if resilience differs between ELL vs. non-ELL Latinx students, and if traumatic stress risk modifies the association between ELL designation and resilience among Latinx students to inform culturally relevant school resilience interventions and school-wide approaches for this population.

Methods: We analyzed deidentified school …

The Overlooked Impact Of Background Diet And Adherence In Nutrition Trials, Javier I Ottaviani, Hagen Schroeter, Dennis M Bier, John W Erdman, Howard D Sesso, Joann E Manson, Gunter G C Kuhnle

Children’s Nutrition Research Center Staff Publications

Randomised controlled trials in nutrition (RCTN) face unique challenges, including the considerable influence of the background diet and the challenge of assuring intervention adherence by participants. The impact of these factors on the outcome of RCTNs has been difficult to quantify, but nutritional biomarkers represent a valuable tool to address these challenges. Using flavanols as a model dietary intervention and a set of recently validated flavanol biomarkers, we here investigated the impact of background diet and adherence on the outcomes of a subcohort of the COcoa Supplement and Multivitamin Outcomes Study (COSMOS, NCT 02422745). We found that 20% of participants …

Large B Cell Lymphoma Microenvironment Archetype Profiles, Xubin Li, Kartik Singhal, Qing Deng, Dai Chihara, David Russler-Germain, R Andrew Harkins, Jared Henderson, Kotaro Arita, Atish Kizhakeyil, Ryan Sun, Priya Lakra, Usama Hussein, Jennifer A Foltz, Ashley Wilson, Evelyn Schmidt, Imran Nizamuddin, Tommy Dinh, Akhil Kesaraju, Mark P Hamilton, Carl Allen, Maher K Gandhi, Joshua Tobin, Aixiang Jiang, Laura Hilton, David W Scott, Francisco Vega, Christopher R Flowers, Jason R Westin, Obi L Griffith, Todd A Fehniger, Malachi Griffith, Michael R Green

Faculty, Staff and Student Publications

Large B cell lymphomas (LBCL) are clinically and biologically heterogeneous lymphoid malignancies with complex microenvironments that are central to disease etiology. Here we have employed single-nucleus multiome profiling of 232 tumor and control biopsies to characterize diverse cell types and subsets that are present in LBCL tumors, effectively capturing the lymphoid, myeloid, and non-hematopoietic cell compartments. Cell subsets co-occurred in stereotypical Lymphoma Microenvironment Archetype Profiles (LymphoMAPs) defined by; (i) a sparsity of T cells and high frequencies of cancer-associated fibroblasts and tumor-associated macrophages [FMAC]; (ii) lymph node architectural cell types with naïve and memory T cells [LN]; or (iii) activated …