Digital Commons Network^™

Early Prediction Of The Breast Cancer Response To Neoadjuvant Chemotherapy Based On Intratumoral Interstitial Fluid Pressure Using 3-D Subharmonic-Aided Pressure Estimation, Sung In Choi, Basak Dogan, Corinne E. Wessner, Jessica H. Porembka, Priscilla Machado, B. Bersu Ozcan, Nisha Unni, Maysa Abu-Khalaf, Kenneth Hoyt, Flemming Forsberg, Kibo Nam

Department of Radiology Faculty Papers

Elevated intratumoral interstitial fluid pressure (IFP) may negatively impact the efficacy of neoadjuvant chemotherapy (NAC). This study aimed to predict the breast cancer response to NAC based on intratumoral IFP using 3D contrast-enhanced ultrasound (CEUS) with subharmonic-aided pressure estimation (SHAPE). This prospective study enrolled breast cancer patients undergoing NAC from two clinical sites. 3D CEUS was performed at 0%, 10%, and 30% of NAC completion using a GE Logiq E9 with Definity. The pressure gradients between the tumor and adjacent normal tissue were estimated by SHAPE, utilizing the inverse linear relationship between the ultrasound contrast agent’s subharmonic signal amplitude and …

Artificial Intelligence Models For Automated And Semiautomated Analysis And Interpretation Of Clinical Electroencephalography, Sándor Beniczky, Birgit Frauscher, Fábio Nascimento, Shobi Sivathamboo, Catalina Rojas, Michael Sperling, Samden Lhatoo, Philippe Ryvlin, Levin Kuhlmann

Department of Neurology Faculty Papers

Electroencephalography is the most commonly used diagnostic tool for epilepsy. However, interpreting electroencephalograms (EEGs) requires expertise that is not widely available. Advances in digital technology and wearables have enabled large-scale EEG recording, generating vast amounts of data that cannot be managed through traditional visual interpretation by experts. Artificial intelligence (AI) has the potential to augment human expertise and reduce workloads. The application of artificial neural networks in analysing clinical EEG recordings has led to major breakthroughs, bringing AI-based EEG interpretation closer to clinical implementation. In this Review, we summarise the most important research and development results in this field from …

Hunting For Microsatellite Instability In Long-Read Data With Owl., Zev Kronenberg, Byunggil Yoo, Khi Pin Chua, Mark J P Chaisson, Lisa Lansdon, William J. Rowell, Guilherme De Sena Brandine, Jocelyne Bruand, Egor Dolzhenko, Kobe Ikegami, Jay Sarthy, Kie Kyon Huang, Patrick Tan, Shruti Bhise, Everett Fan, Mark Mendoza, Emily O'Donnell, Tomi Pastinen, Elizabeth R. Lawlor, Scott N. Furlan, Midhat S. Farooqi, Michael A. Eberle

Manuscripts, Articles, Book Chapters and Other Papers

Microsatellite instability (MSI) is a key biomarker of mismatch repair deficiency and response to immunotherapy, yet most existing genomic detection methods are optimized for short-read sequencing and rely on a panel of homopolymer markers, limiting the ability to characterize genome-wide and motif-specific patterns of instability. Here we present Owl, a bioinformatic tool for quantifying MSI from long-read (PacBio) genomic data. Owl leverages a genome-wide marker set of more than 140,000 microsatellite repeats ranging from 1-6 bp in length to measure MSI across a phased genome. Using a wrap-around alignment algorithm, Owl constructs repeat-length distributions at each marker site and flags …

Skin Carotenoid Scores Are A Valid Approximation Of Fruit And Vegetable Intake Among Adults With Obesity, Stephanie B Jilcott Pitts, Qiang Wu, Elizabeth Gates, Melissa N Laska, Andrew R Dinardo, Nancy E Moran

Children’s Nutrition Research Center Staff Publications

Skin carotenoid score (SCS) as measured using pressure-mediated reflection spectroscopy has been validated among adults with normal and overweight body mass index, with little validation research among adults with obesity. Therefore, the purpose of this exploratory study was to examine the validity of SCS as an approximation of fruit and vegetable intake among adults with obesity. We used samples from adults with obesity from three prior studies: The first study examined the validity of SCS among 213 adults, 34 with obesity; the second, examined sensitivity of SCS to a β-carotene-rich juice intervention among 162 adults, 14 with obesity; the third …

Pda (Privacy-Preserving Distributed Algorithms) In Action: Ten Principles For High-Quality Multi-Site Clinical Evidence Generation, Yong Chen, Chongliang Luo, Et Al.

2020-Current year OA Pubs

BACKGROUND: Distributed Research Networks (DRNs) offer significant opportunities for collaborative multi-site research and have significantly advanced healthcare research based on clinical observational data. However, generating high-quality real-world evidence using fit-for-use data from multi-site studies faces important challenges, including biases associated with various types of heterogeneity within and across sites and data sharing difficulties. Over the last 10 years, Privacy-Preserving Distributed Algorithms (PDA) have been developed and utilized in numerous national and international real-world studies spanning diverse domains, from comparative effectiveness research, target trial emulation, to healthcare delivery, policy evaluation, and system performance assessment. Despite these advances, there remains a lack …

Machine Learning For Functional Outcome Prediction After Vestibular Schwannoma Surgery: A Systematic Review And Diagnostic Test Accuracy Meta-Analysis, Shiva Nischal, Shaan Patel, Musa China, Kush Kale, Yi Hein Chai, Santosh Guru, William Muirhead, Patrick Grover

Department of Neurosurgery Faculty Papers

PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after vestibular schwannoma (VS) surgery. However, reported performance varies substantially, and the overall diagnostic accuracy and clinical reliability of these models remain uncertain. We conducted a systematic review and diagnostic test accuracy meta-analysis to characterise the current state and methodological readiness of ML-based prediction of these outcomes.

METHODS: PubMed, Embase, and CENTRAL were searched from inception to February 2026. Studies evaluating ML-based prediction of facial nerve function or hearing preservation following VS surgery were included. Diagnostic performance metrics were pooled using random-effects …

Quantitative Imaging Of Pyruvate Metabolism In A Patient With Anaplastic Thyroid Cancer, James A Bankson, Joshua S Niedzielski, Collin J Harlan, Yunyun Chen, Christopher M Walker, Philip L Lorenzi, Lin Tan, Vikas Kundra, Matthew E Merritt, Mukundan Ragavan, Dawid Schellingerhout, Renjie He, Yao Ding, Sahana Datar, Qing Wang, Christine B Peterson, Clifton D Fuller, Vlad C Sandulache, Stephen Y Lai

Faculty, Staff and Students Publications

Purpose: Magnetic resonance imaging using hyperpolarized (HP) [1-13C]-pyruvate enables assessment of pyruvate metabolism in vivo and offers new insight into metabolic changes in response to cancer therapy. Widely used semi-quantitative metrics of pyruvate metabolism can be affected by physiological factors that are extrinsic to intracellular metabolism. A validated pharmacokinetic (PK) model for analysis of intracellular pyruvate metabolism is needed to enhance the accuracy of quantitative metrics and clinical translation of metabolic MRI using HP pyruvate.

Methods: A PK model with two physical compartments and two chemical pools was developed to analyze the conversion of labeled pyruvate into lactate in vitro. …

Cost-Effectiveness Of Hes V2.0 And Galad For Hepatocellular Carcinoma Surveillance In Patients With Cirrhosis, Mert Sahinkoc, Gizem S Nemutlu, Hashem B El-Serag, Mary Linton B Peters, Ali Hajjar, Anthony E Samir, Leigh Anne Dageforde, Fasiha Kanwal, Jagpreet Chhatwal

Faculty, Staff and Students Publications

Background: Ultrasound-based surveillance for HCC is limited by suboptimal sensitivity and low adherence. Blood-based biomarkers are potential alternatives for routine HCC surveillance. We aimed to define optimal sensitivity, specificity, and cost parameters under which blood-based biomarkers could serve as cost-effective alternatives in patients with cirrhosis.

Methods: We developed a microsimulation model of the natural history of HCC in individuals with compensated cirrhosis. We compared the cost-effectiveness of biannual surveillance using 2 blood-based biomarkers-HES V2.0 and GALAD-versus ultrasound-based surveillance across a range of sensitivity, specificity, test costs, and adherence levels. Outcomes included quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios …

Loss Of Atp-Dependent Citrate Lyase Drives Left Ventricular Dysfunction By Metabolic Remodeling, Shijie Liu, Seth T Gammon, Lin Tan, Yaqi Gao, Kyoungmin Kim, Mahmoud H Elbatreek, Adrian Arrieta, Ian K Williamson, Rebecca L Salazar, Janet Pham, Angela Davidian, Radhika Khanna Neicheril, Benjamin D Gould, Heidi Vitrac, Alia Sadiq, An Q Dinh, Evan C Lien, Francisca N De Luna Vitorino, Joanna M Gongora, Sara A Martinez, Melanie T Odenkirk, Anna K Boatman, Jessie R Chappel, Lawrence S C Czer, Evan P Kransdorf, David J Lefer, Blake M Hanson, Benjamin A Garcia, Erin M Baker, Matthew G Vander Heiden, Philip L Lorenzi, Heinrich Taegtmeyer, David Piwnica-Worms, James F Martin, Anja Karlstaedt

Faculty, Staff and Student Publications

Background: Metabolic adaptation and maladaptation are hallmarks of the failing heart and may be a target for therapeutic interventions. For example, sustained glucose oxidation during cardiac stress is associated with increased activity and abundance of ACL (ATP-dependent citrate lyase, Acly), which produces acetyl-coenzyme A (CoA) from citrate and CoA and supports de novo lipid synthesis. However, our understanding of how ACL supports cardiac metabolic adaptation and its potential to modulate disease pathophysiology has not yet been investigated.

Methods: We used human heart tissue samples from healthy donors and patients with nonischemic cardiomyopathy. Next, we used CRISPR (clustered, regularly interspaced …

Llm-As-A-Judge For Infection Prevention And Control And Antimicrobial Resistance Impact: Comparing Three Main Llms Vs. Human Experts' Assessment, Marcello Di Pumpo, Leonardo Villani, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Patrizia Laurenti, Vittorio Maio, Stefania Boccia, Walter Ricciardi

College of Population Health Faculty Papers

BACKGROUND: Large language models (LLMs) are increasingly used to generate health information, yet their reliability as evaluators remains unclear. This study investigated the feasibility of an LLM-as-a-judge methodology in the context of infection prevention and antimicrobial resistance (AMR), comparing automated ratings with human expert benchmarks.

METHODS: We performed a secondary analysis of an expert-annotated dataset of health messages. Three leading LLMs (ChatGPT, Claude, Gemini) independently evaluated the same messages using an adapted DISCERN tool across five domains: information reliability, quality, AMR impact, persuasiveness, and overall score. We utilized descriptive statistics, intra-rater reliability tests, and mixed-effects ordinal regression to analyze divergence …

Feasibility And Acceptability Of Automated Texts To Offer, Screen, And Enroll Patients In A Cancer Clinical Trial Financial Reimbursement Program: Mixed Methods Study, Ashley E Santaniello, Hena Patel, Sarah Milinski, Mohan Balachandran, Vivian Nguyen, E. Paul Wileyto, Robert H. Vonderheide, Dana Dornsife, Robert G. Johnson, Carmen E. Guerra

Student Papers, Posters & Projects

BACKGROUND: Out-of-pocket (OOP) costs pose a significant barrier to participating in cancer clinical trials (CCTs). Financial reimbursement programs (FRPs) that reduce the burden of OOP costs can support participation in CCTs if the information is readily available to participants at the time of enrollment. Prior studies have shown the importance and impact of FRPs, but despite improvements, significant barriers still remain.

OBJECTIVE: This study was designed to explore the feasibility and acceptability of automated texts designed to offer, screen, and enroll CCT participants in an FRP for OOP travel and lodging-related clinical trial costs.

METHODS: This study used a mixed …

Biophysical Insights Into A Cryptic Ligand Site In The Hydrophobic Core Of Human Pcna, Alexis N. Dispensa, Sharon N, Greenwood, Jason Yang, Daniel E. Logatto, James Fusco, E. Railey White, Roderic G. Eckenhoff, Zhiwei Liu, Brian P. Weiser

Department of Anesthesiology Faculty Papers

Proteins contain small pockets that form due to imperfections in residue packing or the rotational and conformational movement of amino acids. In this work, we used the fluorescent probe 1-aminoanthracene (AMA) to detect a small ligand pocket in the hydrophobic core of human proliferating cell nuclear antigen (PCNA), which is a critical protein for DNA replication and repair. Fluorescence measurements of AMA reported that the core of PCNA had a dielectric constant (ε) of 4, which was very apolar and similar to cyclohexane (ε = 2). Protein mutagenesis, photoaffinity labeling, and molecular dynamics simulations localized the binding site for AMA …

In Vivo Evidence Of Blood Flow Slippage: Failure Of The No-Slip Boundary Condition Assumption, Alena Jarolímová, Jaroslav Hron, Karel Tůma, Radomír Chabiniok, Josef Málek, Keshava Rajagopal

Division of Cardiology Faculty Papers

The assumption that blood adheres to vessel walls with zero tangential velocity component, the so-called "no-slip" boundary condition, is a foundational premise of cardiovascular fluid dynamics. Whether the no-slip condition holds in vivo, however, remains unknown. Seven healthy adult volunteers underwent cardiovascular magnetic resonance imaging. With four-dimensional flow magnetic resonance imaging of the descending thoracic aorta and modeling blood as a Navier-Stokes fluid, near-wall blood velocities were quantified, and wall shear stress was calculated based on the measured velocity fields. Within the Navier-Stokes data assimilation framework, tangential wall velocities of ∼30-80% of the mean luminal velocity were consistently obtained. These …

Adlm Guidance Document On Incorporating Gender Diversity In Pathology And Laboratory Medicine, Tiffany A Thomas, Gabrielle N Winston-Mcpherson, Ina Amarillo, Alisha D Berry, Caroline J Davidge-Pitts, Sridevi Devaraj, Zil Goldstein, Brad S Karon, Brooke M Katzman, Mahmoud A Khalifa, Hung S Luu, James H Nichols, Tracy L Stockley, Michelle R Stoffel, Dina N Greene, Matthew D Krasowski

Faculty, Staff and Students Publications

Background: The first international clinical standards of care for the gender-diverse population were formulated in the late 1970s. In the last 15 years, multiple subspecialty societies within the United States have developed clinical care guidelines for those with gender dysphoria, including gender-affirming hormone therapy (GAHT) and surgical treatments. To date, there are no pathology- and laboratory medicine-specific recommendations in the United States for the gender-diverse population.

Content: This document outlines pathology- and laboratory medicine-specific recommendations for providing optimal care to the gender-diverse population, with a predominant focus on the adult population. The scope of this document focuses on the following …

Biphasic Sleep Is A Feature Of Sleep Disturbance In Syngap1-Rd, Aida Doucoure, Het Patel, Mark A Abboud, Alice Sperry, Sarah K Wanigatunga, Deana Crocetti, Heather Volk, Adam P Spira, Stewart H Mostofsky, Vaishnav Krishnan, Constance Smith-Hicks

Faculty, Staff and Students Publications

Study objectives: Sleep problems are common in children with SYNGAP1-Related Disorder (SYNGAP1-RD). The use of devices that objectively estimate sleep are complicated by co-occurring sensory disorders in this population. We examined the feasibility and validity of wrist actigraphy to examine sleep and rest-activity rhythms (RAR).

Methods: Data from five children with SYNGAP1-RD and 42 typically developing children were analyzed. All children were asked to wear the Actiwatch-2 for 14 continuous days and caregivers were asked to complete a sleep diary and the Children Sleep Health Questionnaire (CSHQ). Parametric (alpha, beta, acrophase, amplitude, up/down mesor, mesor), nonparametric (intradaily variability, interdaily stability, …

Patterns Of Brain-Wide Associations Reflect Socioeconomics, Scott Marek, Meghan Rose Donohue, Nicole R Karcher, Caroline P Hoyniak, Roselyne J Chauvin, Ashley C Meyer, John Miller, Andrew N Van, Anxu Wang, Noah J Baden, Vahdeta Suljic, Kristen M Scheidter, Julia Monk, Forrest I Whiting, Nadeshka J Ramirez-Perez, Samuel R Krimmel, Athanasia Metoki, Rebecca F Schwarzlose, Steven E Petersen, Joan Luby, Benjamin P Kay, Evan M Gordon, Timothy O Laumann, Deanna M Barch, Nico U F Dosenbach, Et Al.

2020-Current year OA Pubs

Previous brain-wide association studies (BWAS) have linked specific environmental and behavioral variables to brain variability. In this work, we mapped 649 variables to children's brains and compared the resultant BWAS maps with each other and with neurobiological reference patterns. Socioeconomic status (SES) showed the strongest brain-wide associations. The SES associations were strongest in motor and sensory but not cognitive regions, a pattern shared across many BWAS maps, including intelligence quotient (IQ). A single, common BWAS brain pattern existed across variables that was most reflective of a child's socioeconomics. Adjusting for SES weakened brain-IQ associations, eliminating the BWAS motor and sensory …

Intrathecal Antibody Synthesis - Reiber Method Revisited, John J. Halperin, Dane Granger

Department of Neurology Faculty Papers

BACKGROUND: CSF immunoglobulin (IgG) often informs diagnosis in CNS inflammatory disease- qualitatively (oligoclonal bands; OCBs), or quantitatively (CSF: serum IgG: albumin, e.g. IgG index). Most US laboratories estimate excess CSF IgG using linear models, most in Europe, Reiber's hyperbolic model - the latter often also incorporated into CSF pathogen-specific immunoreactivity calculations. We compared Reiber hyperbolic and linear approaches.

METHODS: Required data were available for 1,872 samples, Lyme-specific data for 1,365. We compared linear and Reiber's hyperbolic models to determine which better describes normal CSF: serum IgG/albumin, assessed correlations with OCBs using ROC analysis and compared Lyme-specific antibody indices (AI) by …

Paid Employment And Ability To Work Among People Receiving Dialysis: A Systematic Review Of Qualitative Studies, Ao Zhang, Adam Martin, Karine Manera, Chandana Guha, Martin Howell, Patrizia Natale, Nicole Scholes-Robertson, Dharshana Sabanayagam, Adeera Levin, Wolfgang Winkelmayer, Kevin F Erickson, Germaine Wong, Allison Jaure, Anita Van Zwieten

Faculty, Staff and Students Publications

Rationale & objective: People receiving dialysis have reduced workforce participation, which can affect mental well-being and exacerbate the financial burden of dialysis. This study describes the experiences and perspectives of people receiving dialysis on employment and their ability to work.

Study design: Systematic review and thematic synthesis of qualitative studies.

Setting & study populations: Adults aged 16 years and over receiving dialysis.

Search strategy & sources: MEDLINE, Embase, and PsycINFO were searched to May 2025 for qualitative and mixed-methods studies that reported the perspectives of people receiving dialysis on employment or ability to work.

Data extraction: Text from results and …

A Trans-Omics Gene-Smoking Interaction Study Of Lung Cancer Based On Consortium Data, Ning Xie, Xiaowen Xu, Yanru Wang, Aoxuan Wang, Xiang Wang, Xuan Wang, Mengsheng Zhao, Jiacheng Zhou, Yongyue Wei, Manel Esteller, Zhibin Hu, Hongbing Shen, Rayjean J Hung, Christopher I Amos, Yi Li, David C Christiani, Feng Chen, Yang Zhao, Ruyang Zhang

Faculty, Staff and Students Publications

Rationale: Genetically predicted molecular traits provide a cost-effective approach for identifying biomarkers and uncovering underlying biological mechanisms. We extended this framework to investigate gene-smoking interactions in lung cancer susceptibility.

Objectives: To identify trans-omics gene-smoking interactions affecting lung cancer risk and to assess how biomarkers modify effect of smoking.

Methods: We conducted the first trans-omics gene-smoking interaction study of lung cancer by integrating consortium-scale individual genotype data (27 737 cases vs 449 910 noncases) from the International Lung Cancer OncoArray Consortium (ILCCO-OncoArray), Transdisciplinary Research Into Cancer of the Lung (TRICL), Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO), and the …

Mri-Based Deep Learning Radiomics Model For Automated Classification Of Disc Degeneration In The Lumbar Spine, Shiv Patil, Om Gandhi, Mert Karabacak, Matthew Carr, Konstantinos Margetis

Student Papers, Posters & Projects

Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging (MRI) is critical for clinical management and patient selection for spine surgery. This study aims to develop and evaluate machine learning (ML) models that combine features from deep learning (DL) and radiomics for the automated prediction of Pfirrmann grade (PG), a measure of disc degeneration, using multi-parametric lumbar spine MRI. Sagittal T1, T2, and T2 SPACE MRIs of 218 patients with LBP were acquired from the SPIDER dataset. For each intervertebral disc and available sequence, …

Multi-Level Variable Selection Using A Bart-Enhanced Mixed-Effects Framework, Keming Zhang, Yaoyao Li, Jungang Zou, Sijian Wang, Bernadette A. Fausto, Liangyuan Hu

College of Health Professions Faculty Papers

Selecting important individual- and cluster-level predictors has become increasingly critical in healthcare research, where data often exhibit hierarchical structures due to collection from multiple clusters. Mixed-effects models, which account for within-cluster correlation and between-cluster heterogeneity, are a natural approach for multilevel variable selection. However, currently available variable selection methods for multilevel data are predominantly based on mixed-effects models that impose restrictive parametric assumptions, potentially limiting their utility when the underlying relationships are nonlinear or involve interactions. While nonparametric methods have shown promise for variable selection in non-clustered data, they have been much less studied in the multilevel setting. Moreover, nonparametric …

Imbalance In Wnt: Retinoic Acid Signaling Dysregulates Hox Gene Expression: Implications For Cancer Stem Cell Heterogeneity And Crc Patient Survival, Brian Osmond, Chi Zhang, Pascal K. Kataboh, Caroline O. B. Facey, Lynn M. Opdenaker, Bruce M. Boman

Department of Pharmacology and Experimental Therapeutics Faculty Papers

How HOX transcription factors play a role in the stem cell (SC) origin of cancer is unclear. Our goal is to determine how dysregulation of HOX gene expression promotes colorectal cancer (CRC) development through aberrant SC regulatory mechanisms. We investigated retinoic acid (RA) and WNT signaling because they regulate HOX expression and both pathways are dysregulated in cancer. Previously, we reported WNT and RA pathways are functionally linked, and in CRC, APC mutation generates a WNT:RA imbalance leading to incomplete differentiation and SC overpopulation. We hypothesize that aberrant WNT- and RA-signaling dysregulates HOX expression that contributes to the SC origin …

Is2c2: A Cointelligent Platform For Mechanistic Discovery Of Disease Cellular Crosstalk, Jianting Sheng, Ju Young Ahn, Li Yang, Zhihao Wan, Shaohua Qi, Xiaohui Yu, Zhan Xu, Yuliang Cao, Matthew Vasquez, Amna Irfan, Yuanyuan Zhu, Hong Zhao, Zheng Yin, Ying Zhu, Yunfeng Ding, Alireza Faridar, Lin Wang, Fengshuo Liu, Hongxia Wang, Zhigang Ji, Dongxue Mao, Michael Chan, Daniel Kermany, Wenjuan Dong, Doo Yeon Kim, Xiang H-F Zhang, Stephen T C Wong

Faculty, Staff and Students Publications

Large language models (LLMs) have demonstrated impressive capabilities in summarization, reasoning, and content generation, yet their inability to directly interpret large-scale omics data has limited their utility in data-driven hypothesis generation-particularly in mechanism discovery that demands the integration and interpretation of multimodal datasets, heterogeneous models, and deep domain expertise. Conversely, traditional computational algorithms excel at quantitative analysis of omics data but often rely heavily on labor-intensive, expert-driven interpretation to extract biologically meaningful insights. Here, we introduce (cointelligent single-cell spatial cell‒cell communication: iS2C2), a novel cointelligent platform that synergizes mathematically rigorous computational algorithms with the contextual reasoning capabilities of LLMs to …

Social Prescribing For Refugee Populations: A Rapid Realist Review Of International Evidence, Victoria Touzel, Doreen Reifegerste, Luisa Bartz, Anna-Lena Esser, Kerryn Husk

Peninsula Medical School

BackgroundSocial prescribing offers potential for addressing social determinants of health and supporting health equity among disadvantaged groups. However, evidence for refugee populations remains limited, despite this group facing profound social and systemic barriers. This rapid realist review synthesizes social prescribing and comparable social-capital based intervention evidence to address this gap.MethodsWe conducted a RAMESES-compliant rapid realist review supported by an expert advisory board. Searches across six databases (2014–2024) were supplemented by grey literature and citation chasing strategies. Eligible studies included refugee, asylum-seekers and forcibly displaced populations engaged in either formal social prescribing or comparably operationalized social-capital interventions. Synthesis developed Context-Mechanism-Outcome configurations …

Genealogy-Based Trait Association With Locater Boosts Power At Loci With Allelic Heterogeneity, Xinxin Wang, Ryan Christ, Erica Young, Chul Joo Kang, Indraniel Das, Edward A Belter, Markku Laakso, Louis J M Aslett, David Steinsaltz, Nathan O Stitziel, Ira M Hall

2020-Current year OA Pubs

A key methodological challenge for genome-wide association studies is how to leverage haplotype diversity and allelic heterogeneity to improve trait association power, especially in noncoding regions where it is difficult to predict variant impacts and define functional units for variant aggregation. Genealogy-based association methods have the potential to bridge this gap by testing combinations of common and rare haplotypes based purely on their ancestral relationships. In parallel work, we have developed an efficient local ancestry inference engine and a novel statistical method (LOCATER) for combining signals present on different branches of a locus-specific haplotype tree. Here, we develop a genome-wide …

An Integrated Framework For Early Detection And Transmissibility Assessment Of Emerging Variants In Wastewater, Xingwen Chen, Tin Phan, Wei Lin Lee, Katie Clark, Steven F Rhode, Samantha Brozak, Bruce Pell, Tsultrim Palden, Mats Leifels, Anna Gitter, Yang Kuang, Stefan Wuertz, Janelle Thompson, Kristina D Mena, Eric J Alm, Fuqing Wu

Faculty, Staff and Student Publications

Tracking the emergence of new viral variants is critical for epidemic preparedness, but remains challenging because variants typically circulate at low prevalence during the early phase of outbreaks. Here, we present an integrated framework that combines sensitive variant detection in wastewater with quantitative assessment of transmissibility through dynamic epidemic modeling. Using the SARS-CoV-2 Omicron variant as a proof of concept, we developed a novel nested allele-specific RT-qPCR assay (NAS-PCR) that achieved a thousand-fold increase in sensitivity compared with allele-specific RT-qPCR (limit of detection: 0.5 copies/μl). NAS-PCR detected Omicron in wastewater samples from the Greater Boston area starting in September 2021, …

Computational Modeling Meets 3d Bioprinting: Emerging Synergies In Cardiovascular Disease Modeling, Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L Tomov, Emilio A Mendiola, Vahid Serpooshan, Reza Avazmohammadi

Faculty, Staff and Student Publications

Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, underscoring the need for improved strategies in diagnosis, treatment, and disease modeling. Traditional in vitro models often fall short in replicating human CV physiology, prompting efforts to advance cardiac tissue engineering and computational modeling. Among these, three-dimensional (3D) bioprinting has emerged as a transformative tool, enabling the creation of biomimetic CV constructs that more faithfully replicate native tissue structure and function. However, challenges persist in achieving appropriate mechanical properties and long-term performance of engineered CV constructs. Computational modeling offers powerful solutions to assist with these challenges, providing predictive insights into …

A Smoking-Related Plasma Protein Score And Smoking-Related Cancer Risk And Mortality In The Atherosclerosis Risk In Communities Study, Meng Ru, Christopher Douville, Aghiles Guenoun, Hana Zahed, Christie M Ballantyne, Kenneth R Butler, Josef Coresh, David J Couper, Panagis Galiatsatos, Marc J Gunter, Ron C Hoogeveen, Mattias Johansson, Corinne E Joshu, P Martijn Kolijn, Christina M Lill, Jiayun Lu, Michael T Marrone, Giovanna Masala, David C Muller, Anna E Prizment, Raul Zamora-Ros, Nilanjan Chatterjee, Adrienne Tin, Elizabeth A Platz

Faculty, Staff and Students Publications

Background: Self-reported smoking may not fully capture individualized risk of smoking-related cancer, but circulating proteins may reflect biological consequences of smoking. Thus, we developed a score based on smoking-related proteins and evaluated its association with smoking-related cancer.

Methods: This prospective cohort study included 10 563 participants aged 47-70 years in the Atherosclerosis Risk in Communities study. Plasma proteins were measured using the SomaScan Platform (SomaLogic Operating Co, Inc). The score was constructed from proteins associated with current smoking, pack-years, or recent quitting identified by linear regression and elastic net regression. Cox regression was used to estimate adjusted hazard ratios and …

Risk Of Alzheimer Dementia After High-Dose Vs Standard-Dose Influenza Vaccination, Avram Samuel Bukhbinder, Yaobin Ling, Lauren Jhin, Elizabeth He, Kristofer Harris, Mya Rodriguez, Jenna Thomas, Gabriela Cruz, Kamal Phelps, Yejin Kim, Luyao Chen, Xiaoqian Jiang, Paul E Schulz

Faculty, Staff and Student Publications

Background and objectives: Previous studies, including large cohort analyses comparing vaccinated and unvaccinated adults, suggest that routine immunizations such as inactivated influenza vaccines (IIVs) may reduce Alzheimer dementia (AD) risk. Whether AD risk differs after high-dose IIV (H-IIV) vs standard-dose IIV (S-IIV) remains unexamined. We hypothesized that AD risk would be lower among adults ≥65 years after H-IIV compared with S-IIV.

Methods: This retrospective cohort study analyzed data spanning 2014-2019 from IQVIA PharMetrics Plus for Academics, a US health care claims database. Eligible participants were ≥65 years with ≥2 years of continuous medical and pharmaceutical coverage and no previous diagnostic …

Overlapping Mhc Class I/Ii Epitopes Program Cdc1-Like Differentiation Of Monocyte-Derived Dendritic Cells Via Mtorc1 Signaling Inhibition, S B Amanya, A Murthy, N Bisht, Z N Bullock, K J Ernste, J Vasquez-Perez, W Liu, A Trivedi, D Oyewole-Said, A Paul, L Umokoro, V Akhanov, M Samuel, Z Shi, M H Nguyen, S Huang, M Jeong, P Iakova, K A Jain, K Pham, D C Kraushaar, V Konduri, W K Decker

Faculty, Staff and Students Publications

Viral infection polarizes monocyte-derived dendritic cells (moDC) to initiate type 1 immunity. The availability of overlapping (homologous) MHC class I and II epitopes, an occurrence frequently and primarily associated with intracellular infection, significantly enhances this process; however, the underlying mechanism(s) are unclear. We demonstrate that moDC loaded with homologous MHC epitopes acquire a cDC1-like phenotype in a process governed by mTORC1. mTORC1 pathway inhibition leads to NF-κB-mediated expression of IL-12 and other type I immune polarizing genes. The observed cDC1-like gene signature was also significantly enhanced in clinical moDC vaccine products made through methodologies that enforced class I and II …