Digital Commons Network^™

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

Student and Faculty 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 …

Assessing The State Of Obesity Care: Quality, Access, Guidelines, And Standards, Lee M Kaplan, Caroline M Apovian, Jamy D Ard, David B Allison, Louis J Aronne, Rachel L Batterham, Luca Busetto, Dror Dicker, Deborah B Horn, Aaron S Kelly, Jeffrey I Mechanick, Jonathan Q Purnell, Ximena Ramos-Salas, Assessing The State Of Obesity Care Writing Group

Student and Faculty Publications

BACKGROUND: An international panel of obesity medicine experts from multiple professional organizations examined patterns of obesity care and current obesity treatment guidelines to identify areas requiring updating in response to emerging science and clinical evidence.

AIMS: The panel focused on multiple medical health and societal issues influencing effective treatment of obesity and identified several unmet needs in the definition, assessment, and care of obesity.

METHODS: The panel was held in Leesburg, Virginia in September 2019.

RESULTS: The panelists recommended addressing these unmet needs in obesity medicine through research, education, evaluation of delivery and payment of care, and updating clinical practice …

4d Dynamic Spatial Brain Networks At Rest Linked To Cognition Show Atypical Variability And Coupling In Schizophrenia, Krishna Pusuluri, Zening Fu, Robyn Miller, Godfrey Pearlson, Peter Kochunov, Theo G M Van Erp, Armin Iraji, Vince D Calhoun

Student and Faculty Publications

Despite increasing interest in the dynamics of functional brain networks, most studies focus on the changing relationships over time between spatially static networks or regions. Here we propose an approach to study dynamic spatial brain networks in human resting state functional magnetic resonance imaging (rsfMRI) data and evaluate the temporal changes in the volumes of these 4D networks. Our results show significant volumetric coupling (i.e., synchronized shrinkage and growth) between networks during the scan, that we refer to as dynamic spatial network connectivity (dSNC). We find that several features of such dynamic spatial brain networks are associated with cognition, with …

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

Student and Faculty 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 …

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

Student and Faculty 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 …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Student and Faculty Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Bayesian Varying-Effects Vector Autoregressive Models For Inference Of Brain Connectivity Networks And Covariate Effects In Pediatric Traumatic Brain Injury, Yangfan Ren, Nathan Osborne, Christine B Peterson, Dana M Demaster, Linda Ewing-Cobbs, Marina Vannucci

Student and Faculty Publications

In this article, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extension of a multi-subject Bayesian vector autoregressive model that estimates group-specific directed brain connectivity networks and accounts for the effects of covariates on the network edges. We adopt a flexible approach, allowing for (possibly) nonlinear effects of the covariates on edge strength via a novel Bayesian nonparametric prior that employs a weighted mixture of Gaussian processes. For posterior inference, we achieve computational scalability by implementing a variational Bayes scheme. Our approach enables simultaneous estimation of group-specific …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge

Student and Faculty Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

The Impact Of Intraoperative Glucagon On The Diagnostic Accuracy Of Intraoperative Cholangiogram For The Diagnosis Of Choledocholithiasis: Experience From A Large Tertiary Care Center, Nitish Mittal, Faisal S Ali, Antonio Pizuorno Machado, Sean Ngo, Malek Shatila, Tomas Davee, Nirav Thosani, Vaibhav Wadhwa

Student and Faculty Publications

A proportion of patients who undergo intraoperative cholangiogram (IOC) do not have bile duct stones at the time of endoscopic retrograde cholangiopancreatography (ERCP), either due to the spontaneous passage of stones or a false-positive IOC. Glucagon has been utilized as an inexpensive tool to allow the passage of micro-choledocholithiasis to the duodenum and resolve filling defects caused by stones or air bubbles. The purpose of our study is to understand the change in diagnostic accuracy of IOC to detect choledocholithiasis with intraoperative glucagon. We conducted a retrospective study at a tertiary care center on adult patients who underwent laparoscopic cholecystectomy …

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

Student and Faculty 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 …

Verbal Learning And Memory Deficits Across Neurological And Neuropsychiatric Disorders: Insights From An Enigma Mega Analysis., Eamonn Kennedy, Spencer W Liebel, Hannah M Lindsey, Shashank Vadlamani, Pui-Wa Lei, Maheen M Adamson, Martin Alda, Silvia Alonso-Lana, Tim J Anderson, Celso Arango, Robert F Asarnow, Mihai Avram, Rosa Ayesa-Arriola, Talin Babikian, Nerisa Banaj, Laura J Bird, Stefan Borgwardt, Amy Brodtmann, Katharina Brosch, Karen Caeyenberghs, Vince D Calhoun, Nancy D Chiaravalloti, David X Cifu, Benedicto Crespo-Facorro, John C Dalrymple-Alford, Kristen Dams-O'Connor, Udo Dannlowski, David Darby, Nicholas Davenport, John Deluca, Covadonga M Diaz-Caneja, Seth G Disner, Ekaterina Dobryakova, Stefan Ehrlich, Carrie Esopenko, Fabio Ferrarelli, Lea E Frank, Carol E Franz, Paola Fuentes-Claramonte, Helen Genova, Christopher C Giza, Janik Goltermann, Dominik Grotegerd, Marius Gruber, Alfonso Gutierrez-Zotes, Minji Ha, Jan Haavik, Charles Hinkin, Kristen R Hoskinson, Daniela Hubl, Andrei Irimia, Andreas Jansen, Michael Kaess, Xiaojian Kang, Kimbra Kenney, Barbora Keřková, Mohamed Salah Khlif, Minah Kim, Jochen Kindler, Tilo Kircher, Karolina Knížková, Knut K Kolskår, Denise Krch, William S Kremen, Taylor Kuhn, Veena Kumari, Junsoo Kwon, Roberto Langella, Sarah Laskowitz, Jungha Lee, Jean Lengenfelder, Victoria Liou-Johnson, Sara M Lippa, Marianne Løvstad, Astri J Lundervold, Cassandra Marotta, Craig A Marquardt, Paulo Mattos, Ahmad Mayeli, Carrie R Mcdonald, Susanne Meinert, Tracy R Melzer, Jessica Merchán-Naranjo, Chantal Michel, Rajendra A Morey, Benson Mwangi, Daniel J Myall, Igor Nenadić, Mary R Newsome, Abraham Nunes, Terence O'Brien, Viola Oertel, John Ollinger, Alexander Olsen, Victor Ortiz García De La Foz, Mustafa Ozmen, Heath Pardoe, Marise Parent, Fabrizio Piras, Federica Piras, Edith Pomarol-Clotet, Jonathan Repple, Geneviève Richard, Jonathan Rodriguez, Mabel Rodriguez, Kelly Rootes-Murdy, Jared Rowland, Nicholas P Ryan, Raymond Salvador, Anne-Marthe Sanders, Andre Schmidt, Jair C Soares, Gianfranco Spalleta, Filip Španiel, Scott R Sponheim, Alena Stasenko, Frederike Stein, Benjamin Straube, April Thames, Florian Thomas-Odenthal, Sophia I Thomopoulos, Erin B Tone, Ivan Torres, Maya Troyanskaya, Jessica A Turner, Kristine M Ulrichsen, Guillermo Umpierrez, Daniela Vecchio, Elisabet Vilella, Lucy Vivash, William C Walker, Emilio Werden, Lars T Westlye, Krista Wild, Adrian Wroblewski, Mon-Ju Wu, Glenn R Wylie, Lakshmi N Yatham, Giovana B Zunta-Soares, Paul M Thompson, Mary Jo Pugh, David F Tate, Frank G Hillary, Elisabeth A Wilde, Emily L Dennis

Student and Faculty Publications

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest …

Aging- And Alcohol-Associated Spatial Transcriptomic Signature In Mouse Acute Pancreatitis Reveals Heterogeneity Of Inflammation And Potential Pathogenic Factors, Rachel R Tindall, Yuntao Yang, Isabella Hernandez, Amy Qin, Jiajing Li, Yinjie Zhang, Thomas H Gomez, Mamoun Younes, Qiang Shen, Jennifer M Bailey-Lundberg, Zhongming Zhao, Daniel Kraushaar, Patricia Castro, Yanna Cao, W Jim Zheng, Tien C Ko

Student and Faculty Publications

The rapidly aging population is consuming more alcohol, leading to increased alcohol-associated acute pancreatitis (AAP) with high mortality. However, the mechanisms remain undefined, and currently there are no effective therapies available. This study aims to elucidate aging- and alcohol-associated spatial transcriptomic signature by establishing an aging AAP mouse model and applying Visium spatial transcriptomics for understanding of the mechanisms in the context of the pancreatic tissue. Upon alcohol diet feeding and caerulein treatment, aging mice (18 months) developed significantly more severe AAP with 5.0-fold increase of injury score and 2.4-fold increase of amylase compared to young mice (3 months). Via …

Clinical And Genomic Profile Of Primary Cranial Neurolymphomatosis, Emily B Wolf, Robin Imperial, Liuyan Jiang, Amit K Agarwal, Han W Tun

Student and Faculty Publications

Primary cranial neurolymphomatosis (PCNL) is a rare subtype of primary CNS lymphoma (PCNSL) in which infiltrative lymphomatous involvement is confined to cranial nerves. Here, we report a case of PCNL with successful genomic profiling. A 57-year-old male had a lengthy prediagnostic phase spanning approximately 30 months, characterized by multiple episodes of cranial neuropathies managed by steroids. At the time of diagnosis, the patient had right-sided cranial neuropathies involving cranial nerves (CN) V, VI, and VII. Pathological findings of the right cavernous lesion biopsy were consistent with large B-cell lymphoma-infiltrating nerve fibers. The clinical course was aggressive and refractory, characterized by …

A Cocktail Nanovaccine Targeting Key Entry Glycoproteins Elicits High Neutralizing Antibody Levels Against Ebv Infection, Ling Zhong, Wanlin Zhang, Hong Liu, Xinyu Zhang, Zeyu Yang, Zhenfu Wen, Ling Chen, Haolin Chen, Yanran Luo, Yanhong Chen, Qisheng Feng, Mu-Sheng Zeng, Qinjian Zhao, Lixin Liu, Claude Krummenacher, Yi-Xin Zeng, Yongming Chen, Miao Xu, Xiao Zhang

Student and Faculty Publications

Epstein-Barr virus (EBV) infects more than 95% of adults worldwide and is closely associated with various malignancies. Considering the complex life cycle of EBV, developing vaccines targeting key entry glycoproteins to elicit robust and durable adaptive immune responses may provide better protection. EBV gHgL-, gB- and gp42-specific antibodies in healthy EBV carriers contributed to sera neutralizing abilities in vitro, indicating that they are potential antigen candidates. To enhance the immunogenicity of these antigens, we formulate three nanovaccines by co-delivering molecular adjuvants (CpG and MPLA) and antigens (gHgL, gB or gp42). These nanovaccines induce robust humoral and cellular responses through efficient …

Perspective: The Evolution Of Hormones And Person Perception-A Quantitative Genetic Framework, Christopher I Gurguis, Tyler S Kimm, Teresa A Pigott

Student and Faculty Publications

Evolutionary biology provides a unifying theory for testing hypotheses about the relationship between hormones and person perception. Person perception usually receives attention from the perspective of sexual selection. However, because person perception is one trait in a suite regulated by hormones, univariate approaches are insufficient. In this Perspectives article, quantitative genetics is presented as an important but underutilized framework for testing evolutionary hypotheses within this literature. We note tacit assumptions within the current literature on psychiatric genetics, which imperil the interpretation of findings thus far. As regulators of a diverse manifold of traits, hormones mediate tradeoffs among an array of …

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

Student and Faculty 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 …

History Of Suicidal Behavior And Clozapine Prescribing Among People With Schizophrenia In China: A Cohort Study, Yi Yin, Chen Lin, Lijing Wei, Jinghui Tong, Junchao Huang, Baopeng Tian, Shuping Tan, Zhiren Wang, Fude Yang, Yongsheng Tong, Song Chen, L Elliot Hong, Yunlong Tan

Student and Faculty Publications

BACKGROUND: Clozapine is an off-label drug used in most countries to prevent suicide in individuals with schizophrenia. However, few studies have reported real-world prescription practices. This study aimed to explore the association between a history of suicidal behavior and clozapine prescribing during eight weeks of hospitalization for individuals with early-stage schizophrenia.

METHODS: This observational cohort study used routine health data collected from a mental health hospital in Beijing, China. The study included 1057 inpatients who had schizophrenia onset within 3 years. History of suicidal behavior was coded from reviewing medical notes according to the Columbia Suicide Severity Rating Scale. Information …

Development Of An Antioxidant-Rich Sugar-Free Plantain Candy And Assessment Of Its Shelf Life In A Flexible Laminate, Poulami Sarkar, Paramita Bhattacharjee, Bidhan Das

Student and Faculty Publications

RESEARCH BACKGROUND: Candy is a popular confection worldwide, and it would be beneficial to society if it were converted into a source of antioxidant molecules to eliminate its adverse health effects. The amount of antioxidants available even in fruit candies is questionable due to the high thermal processing losses they undergo and the presence of various food additives. Plantains (

EXPERIMENTAL APPROACH: To accomplish the first objective, lyophilized plantain powder, sorbitol and mannitol were used as base materials with minimal additives under minimal processing conditions to reduce processing loss. Sensory, proximate, physicochemical and phytochemical properties, including the antioxidant synergy among …

Characterization Of Disease Burden, Treatment And Comorbidities In A Large, Real-World Cohort Of Patients With Atopic Dermatitis: The Corevitas Atopic Dermatitis Registry, Jonathan I Silverberg, Angel Cronin, Eric A Jones, Swapna S Dave, Robert R Mclean, Jeffrey Greenberg, Bruce Strober, Thomas Bieber, Melinda Gooderham, Amy S Paller, Eric L Simpson

Student and Faculty Publications

No abstract provided.

Pharmacokinetic Analysis Of A Phenobarbital Overdose Treated With Urinary Alkalinization Alone, Justin Seltzer, Jeremy Hardin, Henrik Galust, Nathan Friedman, Bryan Corbett, Richard F Clark

Student and Faculty Publications

Phenobarbital is a long-acting barbiturate used to treat alcohol withdrawal and epilepsy. Acute overdoses present with varying levels of central nervous system depression and large overdoses can be life threatening. Phenobarbital is an attractive candidate for enhanced elimination using urinary alkalinization given it is a weak acid with a long half-life and extensive urinary elimination. Limited human data exist regarding use of urine alkalinization for the treatment of phenobarbital overdose. We present a fourteen-year-old female who was treated with urinary alkalinization alone following an intentional ingestion of 3800 mg (84.4 mg/kg) of phenobarbital tablets. Urine drugs of abuse screening was …

Trends In Shortages Of Lead Chelators From 2001 To 2022, James D Whitledge, Pelayia Soto, Kieran M Glowacki, Diane P Calello, Erin R Fox, Maryann Mazer-Amirshahi

Student and Faculty Publications

OBJECTIVE: The study aims to describe drug shortages affecting lead chelators in the United States from 2001 through 2022.

METHODS: Drug shortage data were retrieved from the University of Utah Drug Information Service from January 1, 2001, through December 31, 2022. Shortages of first- and second-line lead chelators were analyzed. Drug class, formulation, administration route, shortage reason, shortage duration, generic status, single-source status, and presence of temporally overlapping shortages were examined. Total shortage months, percentages of study period on shortage, and median shortage durations were calculated.

RESULTS: Thirteen lead chelator shortages were reported during the study period. Median duration was …

Insurance Coverage During Transitions: Evidence From Medicaid Automatic Enrollment For Children Receiving Supplemental Security Income, Stephanie Rennane, Danielle Sobol, Bradley D Stein, Andrew Dick

Student and Faculty Publications

OBJECTIVES: To analyze relationships between Medicaid automatic enrollment for child Supplemental Security Income (SSI) recipients and health insurance coverage during transitions.

DATA SOURCES AND STUDY SETTING: Medical Expenditure Panel Study, 2000-2020 and National Survey for Children with Special Health Care Needs, 2001-2010.

STUDY DESIGN: Leveraging variation in SSI-Medicaid automatic enrollment status across regions and over time, we estimate a regression model to quantify associations between automatic enrollment and insurance coverage. We validate our findings in the NS-CSHCN.

DATA COLLECTION: Our sample includes children receiving SSI for a disability. We also analyze a subsample of children newly enrolled in SSI.

PRINCIPAL …

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

Student and Faculty 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 …

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

Student and Faculty 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 Microcosting Approach For Planning And Implementing Community-Based Mental Health Prevention Program: What Does It Cost?, Sharmily Roy, Henry Shelton Brown, Lisa Sanger Blinn, Sarah Carter Narendorf, Jane E Hamilton

Student and Faculty Publications

BACKGROUND: Estimating program costs when planning community-based mental health programs can be burdensome. Our aim was to retrospectively document the cost for the first year of planning and implementing Healthy Minds Healthy Communities (HMHC), a mental health promotion and prevention multi-level intervention initiative. This Program is among the first to use the Community Initiated Care (CIC) model in the US and is aimed at building community resilience and the capacity for communities to provide mental health support, particularly among those disproportionately impacted by COVID-19. Our objective is to share our methods for costing a program targeting 10 zip codes that …

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

Student and Faculty 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 …

Molecular Mechanisms Of Opioid Use Disorder In Human Brain Models, Emily Mendez

Dissertations & Theses (Open Access)

Opioid use disorder (OUD) is a national and global public health crisis with no end in sight. While studies from animal models hint at widespread epigenetic and transcriptomic alterations of opioid drugs, the molecular consequences of long-term exposure to opioid drugs in human brain is still unclear, and human-centered translational models are necessary to discern the human cell type-specific effects of OUD.

Using postmortem brain Brodmann area 9 (BA9) from the UTHealth Brain Collection for Research on Psychiatric Disorders, I identified angiogenic gene networks perturbed in the RNA and protein of OUD subjects, as well as downregulation of many neuron-correlated …

Retention, Adherence, And Acceptability Testing Of A Digital Health Intervention In A 3-Group Randomized Controlled Trial For Chronic Musculoskeletal Pain, Jennifer Kawi, Chao Hsing Yeh, Lauren Grant, Xinran Huang, Hulin Wu, Chunyan Hua, Paul Christo

Student and Faculty Publications

OBJECTIVES: Evaluate a digital health intervention using Auricular Point Acupressure (APA) for chronic musculoskeletal pain in terms of participant retention, adherence, acceptability, and satisfaction. Chronic musculoskeletal pain is a global concern and there are persistent challenges in pain management. Despite the value of digital health interventions, these interventions need to be fully evaluated for feasibility.

METHODS: We conducted a 3-group, longitudinal, randomized controlled trial (RCT). After Institutional Review Board approval, we posted recruitment flyers in a university, healthcare clinics, and community settings. Participants were randomized into an in-person + app group (n = 8), virtual + app group (n = …

Cross-Cohort Replicable Resting-State Functional Connectivity In Predicting Symptoms And Cognition Of Schizophrenia, Chunzhi Zhao, Rongtao Jiang, Juan Bustillo, Peter Kochunov, Jessica A Turner, Chuang Liang, Zening Fu, Daoqiang Zhang, Shile Qi, Vince D Calhoun

Student and Faculty Publications

Schizophrenia (SZ) is a debilitating mental illness characterized by adolescence or early adulthood onset of psychosis, positive and negative symptoms, as well as cognitive impairments. Despite a plethora of studies leveraging functional connectivity (FC) from functional magnetic resonance imaging (fMRI) to predict symptoms and cognitive impairments of SZ, the findings have exhibited great heterogeneity. We aimed to identify congruous and replicable connectivity patterns capable of predicting positive and negative symptoms as well as cognitive impairments in SZ. Predictable functional connections (FCs) were identified by employing an individualized prediction model, whose replicability was further evaluated across three independent cohorts (BSNIP, SZ …

Social Protection And Foundational Cognitive Skills During Adolescence: Evidence From A Large Public Works Program, Richard Freund, Marta Favara, Catherine Porter, Jere Behrman

Student and Faculty Publications

Many low- and middle-income countries have introduced public works programs (PWPs) to fight poverty. This paper provides the first evidence that children from families who benefit from PWPs show increased foundational cognitive skills. The results, based on unique tablet-based data collected as part of a long-standing longitudinal survey, show positive associations between participation in the Productive Safety Net Programme (PSNP) in Ethiopia during childhood with long-term memory and implicit learning, and suggestive evidence for working memory. These associations appear to be strongest for children whose households were still PSNP participants in the year of data collection. Evidence suggests that the …