Biomedical Informatics Commons^™

Childhood Trauma And Inflammatory Biomarker Effects On Cortical Thinning In Schizophrenia Spectrum Disorders, Samantha Narvaez, Yizhou Ma, Joshua Chiappelli, Hemalatha Sampath, Alia Warner, Peter Kochunov, Giselli Scaini, Anilkumar Pillai, L Elliot Hong

Faculty, Staff and Student Publications

Patients with schizophrenia spectrum disorders (SSD) have higher risks for early and adult life traumatic events and suffer from a heightened body response to stress and increased inflammatory activities. We hypothesize that in SSD, the effect of stress is associated with prolonged activation of the inflammatory system and causes elevation in immune markers. We examined the effects of childhood trauma and adult stressful life events on a C-reactive protein (CRP) and their combined contribution to cortical thickness thinning in 49 SSD patients and 26 healthy controls. Participants with SSD reported higher levels of childhood trauma (p = 0.015) and lifetime …

Lipidomic And Proteomic Insights From Extracellular Vesicles In The Postmortem Dorsolateral Prefrontal Cortex Reveal Substance Use Disorder-Induced Brain Changes, Chioma M Okeoma, Wasifa Naushad, Bryson C Okeoma, Carlos Gartner, Yulica Santos-Ortega, Calvin Vary, Savio Lima-Bastos, Victor Corasolla Carregari, Martin R Larsen, Alessio Noghero, Consuelo Walss-Bass, Rodrigo Grassi-Oliveira

Faculty, Staff and Student Publications

Substance use disorder (SUD) significantly increases the risk of neurotoxicity, inflammation, oxidative stress, and impaired neuroplasticity. The activation of inflammatory pathways by substances may lead to reactive astrogliosis and chronic neuroinflammation, potentially mediated by the release of extracellular particles (EPs), such as extracellular condensates (ECs) and extracellular vesicles (EVs). These particles, which reflect the physiological, pathophysiological, and metabolic states of their cells of origin, might carry molecular signatures indicative of SUD. In particular, our study investigated neuroinflammatory signatures in SUD patients by isolating EVs from the dorsolateral prefrontal cortex (dlPFC) Brodmann's area 9 (BA9) from postmortem subjects. We isolated BA9-derived …

Defining Treatment-Resistant Bipolar Depression: Recommendations From The Isbd Task Force, Eduard Vieta, Roger S Mcintyre, Trisha Suppes, Tamsyn E Van Rheenen, Balwinder Singh, Kamilla Woznica Miskowiak, Allan H Young, Lakshmi N Yatham, Kyooseob Ha, Michael Berk, Holly A Swartz, Chantal Henry, Maja Pantovic Stefanovic, Gerard Anmella Diaz, Aysegul Ozerdem, Wiesław J Cubała, Diego Hidalgo-Mazzei, Mauricio Tohen, Isabella Pacchiarotti, Paula Villela Nunes, Carlos Lopez-Jaramillo, Ana Gonzalez-Pinto, Paolo Brambilla, Robert Post, Jair C Soares, Michael Bauer, Ana C Andreazza, Xavier Justes Fradera, Montserrat Cosials-Lopez, Giovanna Fico

Faculty, Staff and Student Publications

Objective: Despite the availability of approved treatments, a substantial proportion of patients with bipolar disorder experience treatment-resistant bipolar depression (TRBD), characterized by persistent depressive symptoms unresponsive to standard therapies. However, a universally accepted definition of TRBD is lacking. This consensus document, developed by the International Society for Bipolar Disorders (ISBD) Task Force on TRBD, aims to provide a standardized definition of TRBD to facilitate clinical trials, research, and treatment strategies.

Methods: The Task Force employed a literature review, clinical trials analysis, and expert consensus meetings to define TRBD.

Results: TRBD was defined as the failure to achieve a significant and …

Defining Treatment-Resistant Bipolar Depression: Recommendations From The Isbd Task Force, Eduard Vieta, Roger S Mcintyre, Trisha Suppes, Tamsyn E Van Rheenen, Balwinder Singh, Kamilla Woznica Miskowiak, Allan H Young, Lakshmi N Yatham, Kyooseob Ha, Michael Berk, Holly A Swartz, Chantal Henry, Maja Pantovic Stefanovic, Gerard Anmella Diaz, Aysegul Ozerdem, Wiesław J Cubała, Diego Hidalgo-Mazzei, Mauricio Tohen, Isabella Pacchiarotti, Paula Villela Nunes, Carlos Lopez-Jaramillo, Ana Gonzalez-Pinto, Paolo Brambilla, Robert Post, Jair C Soares, Michael Bauer, Ana C Andreazza, Xavier Justes Fradera, Montserrat Cosials-Lopez, Giovanna Fico

Faculty, Staff and Student Publications

Objective: Despite the availability of approved treatments, a substantial proportion of patients with bipolar disorder experience treatment-resistant bipolar depression (TRBD), characterized by persistent depressive symptoms unresponsive to standard therapies. However, a universally accepted definition of TRBD is lacking. This consensus document, developed by the International Society for Bipolar Disorders (ISBD) Task Force on TRBD, aims to provide a standardized definition of TRBD to facilitate clinical trials, research, and treatment strategies.

Methods: The Task Force employed a literature review, clinical trials analysis, and expert consensus meetings to define TRBD.

Results: TRBD was defined as the failure to achieve a significant and …

Βiv Spectrin Abundancy, Cellular Distribution And Sensitivity To Akt/Gsk3 Regulation In Schizophrenia, Jessica Di Re, Michela Marini, Syed Ibrar Hussain, Aditya K Singh, Akshaya Venkatesh, Musaad A Alshammari, Tahani K Alshammari, Abdul-Rizaq Ali Hamoud, Ali Sajid Imami, Zahra Haghighijoo, Nickolas Fularcyzk, Laura Stertz, Derek Hawes, Angela Mosebarger, Jordan Jernigan, Claire Chaljub, Ralda Nehme, Consuelo Walss-Bass, Anton Schulmann, Marquis P Vawter, Robert Mccullumsmith, Robert D Damoiseaux, Agenor Limon, Demetrio Labate, Michael F Wells, Fernanda Laezza

Faculty, Staff and Student Publications

Schizophrenia (SCZ) is a complex psychiatric disorder with unclear biological mechanisms. Spectrins, cytoskeletal proteins linked to neurodevelopmental disorders, are regulated by the AKT/GSK3 pathway, which is implicated in SCZ. However, the impact of SCZ-related dysregulation of this pathway on spectrin expression and distribution remains unexplored. Here, we show that βIV spectrin protein levels were reduced in neurons of the dorsolateral prefrontal cortex in SCZ postmortem samples compared to healthy control (HC) from the Human Brain Collection Core (HBCC). To investigate potential links between βIV spectrin and the AKT/GSK3 pathway, we analyzed the PsychEncode dataset, revealing elevated SPTBN4 and AKT2 mRNA …

Multi-Ancestry Genome-Wide Association Analyses Incorporating Snp-By-Psychosocial Interactions Identify Novel Loci For Serum Lipids, Amy R Bentley, Michael R Brown, Solomon K Musani, Karen L Schwander, Thomas W Winkler, Mario Sims, Tuomas O Kilpeläinen, Hugues Aschard, Traci M Bartz, Lawrence F Bielak, Jin-Fang Chai, Kumaraswamy Naidu Chitrala, Nora Franceschini, Mariaelisa Graff, Xiuqing Guo, Fernando P Hartwig, Andrea R V R Horimoto, Elise Lim, Yongmei Liu, Alisa K Manning, Ilja M Nolte, Raymond Noordam, Melissa A Richard, Albert V Smith, Yun Ju Sung, Dina Vojinovic, Rujia Wang, Yujie Wang, Mary F Feitosa, Sarah E Harris, Leo-Pekka Lyytikäinen, Giorgio Pistis, Rainer Rauramaa, Peter J Van Der Most, Erin Ware, Stefan Weiss, Wanqing Wen, Lisa R Yanek, Dan E Arking, Donna K Arnett, Christie Ballantyne, Eric Boerwinkle, Yii-Der Ida Chen, Martha L Daviglus, Lisa De Las Fuentes, Paul S De Vries, Joseph A C Delaney, Amanda M Fretts, Lynette Ekunwe, Jessica D Faul, Linda C Gallo, Sami Heikkinen, Georg Homuth, M Arfan Ikram, Carmen R Isasi, Jost Bruno Jonas, Liisa Keltikangas-Järvinen, Pirjo Komulainen, Aldi T Kraja, Jose E Krieger, Lenore Launer, Lifelines Cohort Study, Jianjun Liu, Kurt Lohman, Annemarie I Luik, Ani W Manichaikul, Pedro Marques-Vidal, Yuri Milaneschi, Stanford E Mwasongwe, Jeffrey R O'Connell, Kenneth Rice, Stephen S Rich, Pamela J Schreiner, Lars Schwettmann, James M Shikany, Xiao-Ou Shu, Jennifer A Smith, Harold Snieder, Nona Sotoodehnia, E Shyong Tai, Kent D Taylor, Lesley Tinker, Michael Y Tsai, André G Uitterlinden, Cornelia M Van Duijn, Diana Van Heemst, Melanie Waldenberger, Robert B Wallace, Hwee-Lin Wee, David R Weir, Wen-Bin Wei, Ko Willems Van Dijk, Gregory Wilson, Jie Yao, Kristin L Young, Xiaoyu Zhang, Wei Zhao, Xiaofeng Zhu, Alan B Zonderman, Ian J Deary, Christian Gieger, Hans Jörgen Grabe, Timo A Lakka, Terho Lehtimäki, Albertine J Oldehinkel, Martin Preisig, Ya-Xing Wang, Wei Zheng, Michele K Evans, Michael Province, James Gauderman, Vilmundur Gudnason, Catharina A Hartman, Bernardo L Horta, Sharon L R Kardia, Charles Kooperberg, Ching-Ti Liu, Dennis O Mook-Kanamori, Brenda Wjh Penninx, Alexandre C Pereira, Patricia A Peyser, Bruce M Psaty, Jerome I Rotter, Xueling Sim, Kari E North, Dabeeru C Rao, Laura Bierut, Clint L Miller, Alanna C Morrison, Charles N Rotimi, Myriam Fornage, Ervin R Fox

Faculty, Staff and Student Publications

Serum lipid levels, which are influenced by both genetic and environmental factors, are key determinants of cardiometabolic health and are influenced by both genetic and environmental factors. Improving our understanding of their underlying biological mechanisms can have important public health and therapeutic implications. Although psychosocial factors, including depression, anxiety, and perceived social support, are associated with serum lipid levels, it is unknown if they modify the effect of genetic loci that influence lipids. We conducted a genome-wide gene-by-psychosocial factor interaction (G×Psy) study in up to 133,157 individuals to evaluate if G×Psy influences serum lipid levels. We conducted a two-stage meta-analysis …

Home-Based Transcranial Direct Current Stimulation For Major Depressive Disorder: 6-Month Follow-Up From Randomised Sham-Controlled Trial And Open-Label Treatment Phases, Rachel D Woodham, Sudhakar Selvaraj, Nahed Lajmi, Harriet Hobday, Gabrielle Sheehan, Ali-Reza Ghazi-Noori, Peter J Lagerberg, Rodrigo Machado-Vieira, Jair C Soares, Allan H Young, Cynthia H Y Fu

Faculty, Staff and Student Publications

Transcranial direct current stimulation (tDCS) is a potential home-based treatment for major depressive disorder (MDD). In our double-blind randomised controlled trial (RCT) (n = 174; UK and USA), a 10-week course of home-based tDCS demonstrated clinical efficacy (clinical response: 58.3 % active treatment arm and 37.8 % sham (p = 0.017). tDCS was delivered in a bifrontal montage, with anode over left dorsolateral prefrontal cortex (DLPFC) and cathode over right DLPFC. Each session was 30 min, with active stimulation at 2 mA and sham at 0 mA, incorporating brief ramp-up and ramp-down phased. Following the 10-week RCT, all participants were …

Genetic, Transcriptomic, And Epigenomic Insights Into Sjögren's Disease: An Integrative Network Investigation And Immune Diseases Comparison, Nitesh Enduru, Astrid M Manuel, Zhongming Zhao

Faculty, Staff and Student Publications

Sjögren's disease (SjD) is a systemic autoimmune disorder primarily causing dry eyes and mouth. It frequently overlaps with other autoimmune diseases (AIDs), including rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). However, the genetic basis of SjD remains underexplored, limiting our understanding of its connections to other immune-mediated conditions. In this study, we aimed to identify gene networks associated with SjD through the integration of genetic, transcriptomic, and epigenomic data. We further compared the genetic factors of SjD with other immune-mediated diseases. We analyzed genome-wide association studies (GWAS) summary statistics, DNA methylation, and transcriptomic data using our in-house network-based methods, …

Evaluating The Meditation Practices And Barriers To Adopting Mindful Medicine Among Physicians, Tiffany Champagne-Langabeer, Chelsea G Ratcliff, Christine Bakos-Block, Francine Vega, Marylou Cardenas-Turanzas, Aila Malik, Radha Korupolu

Faculty, Staff and Student Publications

Background: Chronic pain affects over 25% of U.S. adults and is a leading cause of disability. Mindfulness meditation (MM) is a nonpharmacologic approach to manage pain and improve well-being. Despite mounting evidence supporting its efficacy, MM remains underutilized in medical practice. Understanding physicians' engagement with MM and the barriers they face can inform strategies for integration into clinical care. This study assessed physicians' attitudes toward MM, including barriers to practice and their likelihood of recommending it to patients.

Methods: A cross-sectional survey of U.S. physicians was conducted from April to July 2024. Participants provided information on demographics, health struggles, and …

Classification Of Schizophrenia, Bipolar Disorder And Major Depressive Disorder With Comorbid Traits And Deep Learning Algorithms, Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V Han, Vishwajit L Nimgaonkar, Daniel R Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

Faculty, Staff and Student Publications

Many psychiatric disorders share genetic liabilities, but whether these shared liabilities can be utilized to classify and differentiate psychiatric disorders remains unclear. In this study, we use polygenic risk scores (PRSs) of 42 traits comorbid with schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) to evaluate their utilities. We found that combining target specific PRS with PRSs of comorbid traits can improve the classification of the target disorders. Importantly, without inclusion of PRSs from targeted disorders, we can still classify SCZ (accuracy 0.710 ± 0.008, AUC 0.789 ± 0.011), BIP (accuracy 0.782 ± 0.006, AUC 0.852 ± 0.004), …

Racial Health Disparities Among Pregnant Women Of Color In New York City: Biological And Systemic Impacts, Kaylin Peña

Pitzer Senior Theses

Racial Health Disparities Among Pregnant Women of Color in New York City: Biological and Systemic Impacts

Abstract

This thesis aims to explore how racial health disparities, underrepresentation in gynecology, and socioeconomic barriers contribute to adverse pregnancy outcomes among women of color in New York City. Through an interdisciplinary approach that combines resources from medical anthropology and human biology, this research will examine the biological implications of chronic stress, specifically HPA axis dysregulation, and its role in maternal health outcomes. With the idea of intersectionality, as conceptualized by Kimberlé Crenshaw, the study analyzes the various effects of systemic inequities and social …

New Insights Into The Mechanisms Of Electroconvulsive Therapy In Treatment-Resistant Depression, Ana C Ruiz, Abdul Haseeb, William Baumgartner, Edison Leung, Giselli Scaini, Joao Quevedo

Faculty, Staff and Student Publications

Electroconvulsive therapy (ECT) remains one of the most effective interventions for treatment-resistant depression (TRD), particularly in cases involving severe symptomatology, suicidality, or psychotic features. Despite advancements aimed at enhancing the safety and cognitive tolerability of ECT, concerns about cognitive side effects continue to limit its broader acceptance. A deeper understanding of the mechanisms underlying ECT is therefore critical for refining its use and maximizing clinical outcomes. Through a narrative review of recent literature, this paper synthesizes current evidence comparing the efficacy of ECT, ketamine, and repetitive transcranial magnetic stimulation (rTMS) in the treatment of TRD. Then, the review delves into …

Mortality Risks Associated With Depression In Men With Prostate Cancer, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Weiva Sieh, Kristina Sundquist

Faculty, Staff and Student Publications

Background: Men diagnosed with prostate cancer (PC) have an increased risk of depression; however, it is unclear to what extent depression affects long-term survival. A better understanding of such effects is needed to improve long-term care and outcomes for men with PC.

Objective: To determine the associations between major depression and mortality in a national cohort of men with PC.

Design, setting, and participants: A national cohort study was conducted of all 180 189 men diagnosed with PC in Sweden during 1998-2017. Subsequent diagnoses of major depression were ascertained from nationwide outpatient and inpatient records through 2018.

Outcome measurements and …

Characterizing The Progression From Mild Cognitive Impairment To Dementia: A Network Analysis Of Longitudinal Clinical Visits, Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

Background: With the recent surge in the utilization of electronic health records for cognitive decline, the research community has turned its attention to conducting fine-grained analyses of dementia onset using advanced techniques. Previous works have mostly focused on machine learning-based prediction of dementia, lacking the analysis of dementia progression and its associations with risk factors over time. The black box nature of machine learning models has also raised concerns regarding their uncertainty and safety in decision making, particularly in sensitive domains like healthcare.

Objective: We aimed to characterize the progression of health conditions, such as chronic diseases and neuropsychiatric symptoms, …

A Potential Role For Magi-1 In The Bi-Directional Relationship Between Major Depressive Disorder And Cardiovascular Disease, Priyanka Banerjee, Khanh Chau, Sivareddy Kotla, Eleanor L Davis, Estefani Berrios Turcios, Shengyu Li, Zhang Pengzhi, Guangyu Wang, Gopi Krishna Kolluru, Abhishek Jain, John P Cooke, Junichi Abe, Nhat-Tu Le

Faculty, Staff and Student Publications

Purpose of review: Major Depressive Disorder (MDD) is characterized by persistent symptoms such as fatigue, loss of interest in activities, feelings of sadness and worthlessness. MDD often coexist with cardiovascular disease (CVD), yet the precise link between these conditions remains unclear. This review explores factors underlying the development of MDD and CVD, including genetic, epigenetic, platelet activation, inflammation, hypothalamic-pituitary-adrenal (HPA) axis activation, endothelial cell (EC) dysfunction, and blood-brain barrier (BBB) disruption.

Recent findings: Single nucleotide polymorphisms (SNPs) in the membrane-associated guanylate kinase WW and PDZ domain-containing protein 1 (MAGI-1) are associated with neuroticism and psychiatric disorders including MDD. SNPs in …

Metal(Loid) Uptake And Physiological Response Of Coix Lacryma-Jobi L To Soil Potentially Toxic Elements In A Polluted Metal-Mining Area, Qun Zhao, Hongyan Liu, Longhua Wu, Peter Christie, Xuewen Wang, Ghulam Rasool, Guilan Peng

Faculty, Staff and Student Publications

Coix lacryma-jobi L. is a traditional medicinal plant in east Asia and is an important crop in Guizhou province, southwest China, where there are elevated levels of soil mercury and arsenic (As). Exposure to multiple potentially toxic elements (PTEs) may affect plant accumulation of metal(loid)s and food safety in regions with high geological metal concentrations. Field experiments were conducted to study the effects of PTEs on metal(loid) accumulation and physiological response of C. lacryma in different plant parts at three pollution levels. Total root length, number of root tips, number of branches, and number of root crosses increased with increasing …

Safer: Sub-Hypergraph Attention-Based Neural Network For Predicting Effective Responses To Dose Combinations, Yi-Ching Tang, Rongbin Li, Jing Tang, W Jim Zheng, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated notable success in predicting drug combination synergy, several key challenges persist: (1) Existing models often predict average synergy values across a restricted range of testing dosages, neglecting crucial dose amounts and the mechanisms of action of the drugs involved. (2) Many graph-based models rely on static protein-protein interactions, failing to adapt to dynamic and higher-order relationships. These limitations constrain the applicability of current methods.

RESULTS: We introduce …

Assessing Breast Disease With Deep Learning Model Using Bimodal Bi-View Ultrasound Images And Clinical Information, Fengping Liang, Yihua Song, Xiaoping Huang, Tong Ren, Qiao Ji, Yanan Guo, Xiang Li, Yajuan Sui, Xiaohui Xie, Lanqing Han, Yuanqing Li, Yong Ren, Zuofeng Xu

Faculty, Staff and Students Publications

Breast cancer is the second leading cause of carcinoma-linked death in women. We developed a multi-modal deep-learning model (BreNet) to differentiate breast cancer from benign lesions. BreNet was constructed and trained on 10,108 images from one center and tested on 3,762 images from two centers in three steps. The diagnostic ability of BreNet was first compared with that of six radiologists; a BreNet-aided scheme was constructed to improve the diagnostic ability of the radiologists; and the diagnosis of real-world radiologists' scheme was then compared with the BreNet-aided scheme. The diagnostic performance of BreNet was superior to that of the radiologists …

Prediction Of Mild Cognitive Impairment Status: Pilot Study Of Machine Learning Models Based On Longitudinal Data From Fitness Trackers, Qidi Xu, Yejin Kim, Karen Chung, Paul Schulz, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Early signs of Alzheimer disease (AD) are difficult to detect, causing diagnoses to be significantly delayed to time points when brain damage has already occurred and current experimental treatments have little effect on slowing disease progression. Tracking cognitive decline at early stages is critical for patients to make lifestyle changes and consider new and experimental therapies. Frequently studied biomarkers are invasive and costly and are limited for predicting conversion from normal to mild cognitive impairment (MCI).

OBJECTIVE: This study aimed to use data collected from fitness trackers to predict MCI status.

METHODS: In this pilot study, fitness trackers were …

Neighborhood-Level Social Determinants Of Health Burden Among Adolescent And Young Adult Cancer Patients And Impact On Overall Survival, Elizabeth R Rodriguez, Tori Tonn, Midhat Jafry, Sairah Ahmed, Branko Cuglievan, J Andrew Livingston, Christopher R Flowers, Gregory J Aune, Karen H Albritton, Michael E Roth, Qian Xiao, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

BACKGROUND: Neighborhood socioeconomic deprivation has been linked to adverse health outcomes, yet it is unclear whether neighborhood-level social determinants of health (SDOH) measures affect overall survival in adolescent and young adult patients with cancer.

METHODS: This study used a diverse cohort of adolescent and young adult patients with cancer (N = 10 261) seen at MD Anderson Cancer Center. Zip codes were linked to Area Deprivation Index (ADI) values, a validated neighborhood-level SDOH measure, with higher ADI values representing worse SDOH.

RESULTS: ADI was statistically significantly worse (P < .050) for Black (61.7) and Hispanic (65.3) patients than for White patients (51.2). Analysis of ADI by cancer type showed statistically significant differences, mainly driven by worse ADI in patients with cervical cancer (62.3) than with other cancers. In multivariable models including sex, age at diagnosis, cancer diagnosis, and race and ethnicity, risk of shorter survival for people residing in neighborhoods with the least favorable ADI quartile was greater than for individuals in the most favorable ADI quartile (hazard ratio = 1.09, 95% confidence interval = 1.00 to 1.19, P = .043).

CONCLUSION: Adolescent and young adult patients with cancer and the worst ADI …

Neuroecological Links Of The Exposome And One Health, Agustin Ibanez, Lucia Melloni, Paweł Świeboda, William Hynes, Burcin Ikiz, Rym Ayadi, Massamba Thioye, Consuelo Walss-Bass, Bahar Güntekin, Jyoti Mishra, Mohamed Salama, Sarah Dunlop, Claudia Duran-Aniotz, Harris A Eyre

Faculty, Staff and Student Publications

This NeuroView assesses the interplay among exposome, One Health, and brain capital in health and disease. Physical and social exposomes affect brain health, and green brain skills are required for environmental health strategies. Ibanez et al. address current gaps and strategies needed in research, policy, and technology, offering a road map for stakeholders.

Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz

Faculty, Staff and Student Publications

BACKGROUND: Optimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting.

METHODS: We sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation.

RESULTS: The mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Prediction Of Disease-Free Survival For Precision Medicine Using Cooperative Learning On Multi-Omic Data, Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon M Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis Vlachos, Stacia Desantis, Rudolph E Tanzi, Christoph Lange

Faculty, Staff and Student Publications

In precision medicine, both predicting the disease susceptibility of an individual and forecasting its disease-free survival are areas of key research. Besides the classical epidemiological predictor variables, data from multiple (omic) platforms are increasingly available. To integrate this wealth of information, we propose new methodology to combine both cooperative learning, a recent approach to leverage the predictive power of several datasets, and polygenic hazard score models. Polygenic hazard score models provide a practitioner with a more differentiated view of the predicted disease-free survival than the one given by merely a point estimate, for instance computed with a polygenic risk score. …

How Financial Beliefs And Behaviors Influence The Financial Health Of Individuals Struggling With Opioid Use Disorder, James R Langabeer, Francine R Vega, Marylou Cardenas-Turanzas, A Sarah Cohen, Karima Lalani, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results …

Investigation Of The Utility Of A Ptsd Coaching Mobile App To Address Mental Health Services Demand In A Primary Care Clinic: Analysis Of Caps-5 Measures, Sindhura Nemani, Danielle Rae Schweitzer, Anne C. Jones

Rowan-Virtua Research Day

The COVID-19 pandemic affected countless people globally, resulting in a greater need for mental health professionals and resources¹. The demand for mental health care is soaring yet the limitation of resources has strained the healthcare system, making it challenging to help patients in a timely manner². This poster represents a snapshot of a larger project that is striving to investigate an intervention to help bridge the gap between patient need and prompt referral through a warm handoff approach and use of the PTSD Coach mobile application as well as exploring patients’ satisfaction^3,4,5,6,8,9. In this …

Interaction Of High-Fat Diet And Brain Trauma Alters Adipose Tissue Macrophages And Brain Microglia Associated With Exacerbated Cognitive Dysfunction, Rebecca J Henry, James P Barrett, Maria Vaida, Niaz Z Khan, Oleg Makarevich, Rodney M Ritzel, Alan I Faden, Bogdan A Stoica

Faculty, Staff and Student Publications

Obesity increases the morbidity and mortality of traumatic brain injury (TBI). Detailed analyses of transcriptomic changes in the brain and adipose tissue were performed to elucidate the interactive effects between high-fat diet-induced obesity (DIO) and TBI. Adult male mice were fed a high-fat diet (HFD) for 12 weeks prior to experimental TBI and continuing after injury. High-throughput transcriptomic analysis using Nanostring panels of the total visceral adipose tissue (VAT) and cellular components in the brain, followed by unsupervised clustering, principal component analysis, and IPA pathway analysis were used to determine shifts in gene expression patterns and molecular pathway activity. Cellular …

The Impact Of Family Functioning Factors On Smartphone Addiction And Phubbing Among Muslim Adolescents In Thailand, Yejin Kim, Wanchai Dhammasaccakarn, Kasetchai Laeheem, Idsaratt Rinthaisong

Faculty, Staff and Student Publications

BACKGROUND: While there is research on protective factors against smartphone addiction (SA) and phubbing, which impact adolescents' physical, psychological, interpersonal, and academic well-being, focused studies on these issues among Thai Muslim students in Southern Thailand remain scarce.

OBJECTIVES: To bridge this gap, this research aimed to explore the influence of five family functioning factors-discipline, communication and problem-solving (CPS), relationship, emotional status, and family support-guided by family systems theory and the McMaster Model, on SA and phubbing.

METHODS: Data from 825 Thai Muslim adolescent secondary school students (Female N = 459 (55.7%), M

RESULTS: Significant connections were identified between family functioning …

Associations Between Stress, Health Behaviors, And Quality Of Life In Young Couples During The Transition To Survivorship: Protocol For A Measurement Burst Study, Dalnim Cho, Michael Roth, Susan K Peterson, Kristofer Jennings, Seokhun Kim, Shiao-Pei Weathers, Sairah Ahmed, J Andrew Livingston, Carlos Barcenas, Y Nancy You, Kathrin Milbury

Faculty, Staff and Student Publications

BACKGROUND: Cancer is a life-threatening, stressful event, particularly for young adults due to delays and disruptions in their developmental transitions. Cancer treatment can also cause adverse long-term effects, chronic conditions, psychological issues, and decreased quality of life (QoL) among young adults. Despite numerous health benefits of health behaviors (eg, physical activity, healthy eating, no smoking, no alcohol use, and quality sleep), young adult cancer survivors report poor health behavior profiles. Determining the associations of stress (either cancer-specific or day-to-day stress), health behaviors, and QoL as young adult survivors transition to survivorship is key to understanding and enhancing these survivors' health. …