Digital Commons Network^™

Alternative Polyadenylation Signatures Distinguish Maladaptive Right Ventricular Remodeling In Pulmonary Hypertension: Implications For Rna-Based Diagnostics And Therapeutics, Janani Subramaniam, Venkata Jonnakuti, Scott D Collum, Sandra Martineau, Kai-Lieh Huang, Sandra Breuils-Bonnet, Andrea L Frump, Bindu H Akkanti, Jayeshkumar A Patel, Manish K Patel, Ismael Salas De Armas, Isabella N Lefebvre, Rajko Radovancevic, Elvin Blanco, Eric J Wagner, Igor Gregoric, Sriram Nathan, Biswajit Kar, Steeve Provencher, Sebastien Bonnet, François Potus, Hari Krishna Yalamanchili, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

Increased pulmonary vascular pressures due to vascular remodeling, elevated vascular resistance, and vasoconstriction characterize Pulmonary Arterial Hypertension (PAH). The narrowing of the pulmonary arteries and obstruction of blood flow increase the Right Ventricular (RV) afterload, forcing the RV to undergo structural and functional changes. While adaptive remodeling leads to RV compensation by maintaining function, maladaptive remodeling leads to RV decompensation, characterized by worsening function and eventual failure. At present, there is no effective treatment for these patients as therapies for left ventricular failure are ineffectual, and there are no therapies specifically targeting the RV. Therefore, there is a clear need …

Polyfluoroalkyl Substances And Altered Glucose Homeostasis In Adolescents Following Bariatric Surgery, Elizabeth Costello, Brittney O Baumert, Zhenjiang Li, Vishal Midya, Shudi Pan, Justin R Ryder, Thomas H Inge, Todd M Jenkins, Stephanie Sisley, Stavra A Xanthakos, Anita Courcoulas, Douglas I Walker, Nikos Stratakis, Damaskini Valvi, Scott M Bartell, Angela L Slitt, Rohit Kohli, Sarah Rock, Michele A La Merrill, Sandrah P Eckel, Max T Aung, Rob Mcconnell, David V Conti, Lida Chatzi

Children’s Nutrition Research Center Staff Publications

Objectives: Bariatric surgery is an effective treatment for severe obesity and associated metabolic comorbidities. Exposure to polyfluoroalkyl substance (PFAS) before bariatric surgery may attenuate improvements in glucose metabolism and explain some of the heterogeneity in post-surgery outcomes.

Design: This is an observational cohort study.

Methods: Adolescents (n = 186) enrolled in the Teen-Longitudinal Assessment of Bariatric Surgery study were included. Eight-PFAS congeners were measured in plasma before surgery. Linear and logistic regressions were used to examine cross-sectional associations between log2-transformed PFAS (ng/mL) and fasting glucose, insulin, hemoglobin A1c (HbA1c), and homeostatic model assessment for insulin resistance (HOMA-IR). Linear mixed …

Limosilactobacillus Reuteri Alleviates Proinflammatory T-Cell-Mediated Liver Injury And Transcriptomic Changes In Immunocompromised Mice, Ana Fadhel Alvarez, Zheng Yin, Beanna Okeugo, Alexander Banerjee, Meng Luo, Christopher M Taylor, Salomea Giorgberidze, Vaishali Harne, Rambabu Majji, Melissa N Munroe, Ji Ho Suh, Stephen T C Wong, Kang Ho Kim, Hari Krishna Yalamanchili, Suhair Al Salihi, Jon Marc Rhoads, Yuying Liu

Children’s Nutrition Research Center Staff Publications

Background: A deficiency of immunosuppressive regulatory T cells, as seen in scurfy (SF) mice or in IPEX syndrome in humans, can lead to multiorgan inflammation. Oral administration of the probiotic Limosilactobacillus reuteri Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH (DSM) 17938 prolongs survival and reduces Th1- and Th2-associated inflammation in SF mice. It remains unclear how DSM 17938-educated SF-CD4+ T cells modulate T-cell-liver communication.

Methods: To characterize CD4+ T cells from SF mice orally administered DSM 17938 (Prob-SF-CD4+ T cells) and to compare them with CD4+ T cells from SF mice (SF-CD4+ T cells), cells isolated from SF spleens were …

Insulinemic And Inflammatory Dietary Patterns And Colorectal Cancer Risk: A Dietary Data Harmonization Study Of One Million Participants In The Consortium Of Metabolomics Studies (Comets), Ni Shi, Rachel Hoobler, Rhea Harewood, Amanda E Toland, Demetrius Albanes, Emmanouil Bouras, Marc J Gunter, Linda M Liao, Steven C Moore, Fulvio Ricceri, Jerome I Rotter, Rashmi Sinha, Rachael Stolzenberg-Solomon, Anne Tjønneland, Alexis C Wood, Danxia Yu, Mary C Playdon, Fred K Tabung

Children’s Nutrition Research Center Staff Publications

Background: Inflammatory and insulinemic dietary patterns have been associated with colorectal cancer (CRC) risk, but generalizability across diverse populations with heterogeneous food supplies and dietary behaviors has not been established.

Objectives: We harmonized disparate dietary and covariate data on a large scale to compute the reverse Empirical Dietary Index for Hyperinsulinemia (rEDIH), reverse Empirical Dietary Inflammatory Pattern (rEDIP), and Healthy Eating Index (HEI)-2015 scores, and tested their associations with CRC risk.

Methods: We leveraged data among 501,892 women and 407,390 men from 6 cohorts across the United States (NIH-AARP, Multi-Ethnic Study of Atherosclerosis, Prostate, Lung, Colorectal, and Ovarian, SCCS) and …

Cerebellar Motor And Non-Motor Contributions To Dystonia Pathophysiology And Treatment, Linda H Kim, Cheryl Brandenburg, Roy V Sillitoe

Duncan NRI Faculty and Staff Publications

Dystonia is a complex neurological disorder characterized by sustained or intermittent abnormal movements and/or postures. However, dystonia's non-motor symptoms, particularly the sleep disturbances, are critical yet underexplored concerns that affect all ages. Here, we synthesize current knowledge on the motor and non-motor domains of dystonia, emphasizing the functional interconnections and plasticity within cerebellar motor, cognitive, and sleep-associated circuits to motivate more comprehensive and effective treatments that improve overall quality of life.

Access To Digital Health Technologies: Personalized Framework And Global Perspectives, Sanjiv M Narayan, Mina K Chung, Demilade Adedinsewo, Luisa C C Brant, Leslie L Davis, David Duncker, Jennifer L Hall, Janet K Han, Carolyn S P Lam, Eldrin Lewis, Joseph Loscalzo, Manlio F Márquez, Vasiliki Rahimzadeh, Fatima Rodriguez, Prashanthan Sanders, Emma Svennberg, Kenneth Stein, Mintu Turakhia, Clyde Yancy, Antonis A Armoundas

Center for Medical Ethics and Health Policy Staff Publications

The emergence and rapid adoption of digital health technologies (DHT) present unprecedented opportunities to democratize and reduce disparities in health care by monitoring health and disease at the point of care in all patients. However, limited access to DHT is becoming a major obstacle to realizing these goals. Access to DHT is influenced not only by well-recognized social determinants of health, but also by digital determinants of health, such as digital literacy and the need for broad access to digital infrastructure, as well as commercial and economic factors. Addressing these challenges and designing unbiased systems of care are essential to …

Refining Aicardi Syndrome Diagnostic Criteria: An Expert-Based Consensus Using A Modified Delphi Approach, Silvia Masnada, Valentina De Giorgis, Umberto Carugo, Nadia Bahi-Buisson, Mara Cavallin, Mark Corbett, Manuela Formica, Jozef Gecz, Natalia Petros, Emilio Perucca, Anna Pichiecchio, Paolo Fusar Poli, Elliott H Sherr, Ignatia B Van Den Veyver, Federico Zara, Martin Geroldinger, Pierangelo Veggiotti, Alexis Arzimanoglou

Duncan NRI Faculty and Staff Publications

Background and objectives: Aicardi syndrome (AIC) is a rare neurodevelopmental disorder historically characterised by the presence of chorioretinal lacunae, corpus callosum agenesis, infantile spasms and several supporting features that aid in diagnosis. However, the unclear aetiology and evolving diagnostic tools have led to ongoing reconsideration of the criteria, based on individual approaches. Our study aimed to establish, for the first time, an expert-based consensus on diagnostic criteria for AIC by integrating both existing and novel ones.

Methods: A geographically diverse and multidisciplinary group of expert physicians was invited to participate in a modified Delphi study, to achieve consensus on major, …

From Passive To Powerful: Creating Engaging Resident-As-Teacher Modules, Anna E Rueda, Stephanie V Sherman, Sherita J Love, Glenn C Bridges, Wesley A Mayer, Mark J Harbott, Teri L Turner, Bani M Ratan

Faculty and Staff Publications

Background: We aimed to design, implement, and evaluate three novel institutional resident-as-teacher (RAT) e-modules for postgraduate year (PGY) 1, 2, and 3 and compare them to previously utilized online trainings.

Methods: We utilized PICRAT, a model examining both students' relationship with technology (passive, interactive, creative) and instructors' use of technology (replaces, amplifies, or transforms) to create interactive experiences that amplified teaching methodologies. We compared evaluations of the previous and new trainings with an unpaired t test. New modules were assessed with one-way analysis of variance for specialty-based acceptability and content analysis of two open-ended questions.

Results: Response rates averaged 93.2% …

Time-Varying, Frequency-Domain, And Quantile Spillovers Across Energy And Financial Markets Under Climate Policy Uncertainty: Evidence From Tvp-Var-Sv, Bk, And Qvar Models, Md Qamruzzaman, Abdulrahman Alomair, Mohammed Alomair, Sylvia Kor

Student Publications [Scholarly]

The study explores how much area is influenced by climate policy uncertainty (CPU), which adjusts the dynamics of volatility and cross-market spillovers among European electricity, energy commodities, carbon markets, and financial assets, thereby explaining the mechanisms affected by the existing sustainability transition. Using high-frequency market data, we combine an econometric architecture linking a time-varying parameter VAR to stochastic volatility, Barunik–Krehlik frequency-domain connectedness, and quantile-VAR methods, thereby enabling the capture of horizon-specific and regime-dependent risk transmission. The discussion shows that the CPU is a structural amplifying agent of market interconnectedness, which has its most substantial impacts in long-horizon and downside regimes. …

Look-Ahead Cyber-Threat Forecasting For Connected And Automated Transport: A Spatio-Temporal Graph Learning Approach, Md Al Amin, Mohammad Shafat Ahsan, Jannatul Maua, Arifa Akter Eva, M.F. Mridha, Md. Jakir Hossen

Student Publications [Scholarly]

Modern intelligent transportation systems (ITS) increasingly rely on connected electronic control units (ECUs), exposing in-vehicle networks to cyber-attacks such as message injection on the Controller Area Network (CAN) bus. While prior work has focused on post-factum detection, this paper addresses the underexplored task of forecasting cyber-attacks before they occur. We propose a spatio-temporal graph neural network (STGNN) architecture that models CAN traffic as a dynamic graph sequence, where nodes represent active CAN IDs and edges capture statistical co-activation patterns. Each graph snapshot encodes temporal features such as inter-arrival statistics and entropy, and is processed using graph attention layers followed by …

Evaluating Spatiotemporal Changes And Predicting Land-Use Dynamics Using An Artificial Neural Network In Worcester City, Massachusetts, Mst Sanjida Alam, Mijanur Rahman, Nusrut Sharmin, Md Naim Molla, Hossain Al Mahbub, Mohammad Muniruzzaman, Md Nadim Rahman, Edris Alam

Student Publications [Scholarly]

The land use and land cover (LULC) change has a remarkable impact on the urban ecosystems due to its effect on the environmental processes, natural resources, and urban sustainability. The aim of this study was to conduct the spatiotemporal analysis of LULC in Worcester City, Massachusetts, and to identify the dynamics of forest cover and justify its causes in the given time range of 2003–2023. LULC classification and forest change detection were done with high-resolution datasets provided by the National Land Cover Database (NLCD). The MLP-ANN outperformed logistic regression and achieved higher in overall accuracy percentages and location Kappa values. …

Considerations For A Mind-Body Program For Latine Adults With Chronic Pain And Cognitive Impairment: A Qualitative Study With Healthcare Providers, Natalia Giraldo-Santiago, Marlene E. Cardoza, Esther Ee Estey, Yoojee Kim, Nicolás A. Alvarez-Frank, Tony V. Pham, Zev Schuman-Olivier, Ana-Maria Vranceanu, Jonathan Greenberg

Student Publications [Scholarly]

Purpose: Chronic pain and cognitive impairment often co-occur and exacerbate each other, with Spanish-speaking Latine adults exhibiting a high prevalence of such comorbidity. While mind-body interventions for this comorbidity show promise, available programs are not tailored to the linguistic and cultural needs of socio-economically disadvantaged Latine adults with cognitive impairment. This study gathered recommendations from healthcare providers to tailor mind-body programs for Latine adults with chronic pain and cognitive impairment. Methods: We conducted six qualitative focus groups with 21 providers and support staff across various healthcare centers. Providers offered their perspectives on the needs, barriers, and general recommendations on tailoring …

Attention-Based Geo–Textual Fusion Network For Disaster Risk Prediction, Mohammad Shafat Ahsan, Mst Sanjida Alam, Syed Sajjad Ahmed, Md Tanzimul Islam, Hashibul Ahsan Shoaib, M.F. Mridha, Md. Jakir Hossen

Student Publications [Scholarly]

Natural disasters pose recurring threats to human life and infrastructure, demanding intelligent systems that can process heterogeneous data streams and provide actionable insights in real time. Existing approaches often treat textual signals from social media and emergency communications separately from spatial hazard attributes, limiting their effectiveness in capturing the full complexity of evolving crises. This paper proposes an AI-driven geo–textual intelligence framework that integrates disaster-related text with GIS-based hazard features for real-time risk prediction and evacuation planning. The framework employs contextual text encoders and a neural GIS encoder, fused through an attention mechanism that dynamically weights cross-modal signals. Experiments on …

Self-Compassion And Sexual Assault Victimization: A Systematic Review, Alexis A. Adams-Clark, Jerin Lee, Lucy W. Naughton, Anna Purcell, Ananya Sharma, Siena Candullo, Kelsey Sawyer, Prachi H. Bhuptani, Lindsay M. Orchowski

Student Publications [Scholarly]

Sexual assault survivors demonstrate substantial resilience, prompting calls for strength-based approaches to understanding recovery. One construct receiving increasing attention is self-compassion (i.e., treating oneself with kindness and understanding in the face of suffering), which may buffer against the negative mental health effects of assault victimization. The current systematic review synthesized data from 31 peer-reviewed studies examining self-compassion, sexual assault exposure, and mental health. Reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards and registered in PROSPERO (CRD420250648494), the review included observational and experimental studies assessing sexual assault victimization and self-compassion across the lifespan. Most studies …

From Dreams To Degrees: Building Sustainable Mentorship Bridges For Student Success, Alicia O'Gwynn

Library Faculty Presentations & Publications

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