Digital Commons Network^™

Metabolic Clearance Rate Of Insulin Across The Glucose Tolerance Spectrum By Race And Ethnicity In Youth With Obesity, Wonhee Cho, Fida Bacha, Hala Tfayli, Sojung Lee, Sara F Michaliszyn, Joon Young Kim, Silva Arslanian

Children’s Nutrition Research Center Staff Publications

Objective: Despite β-cell failure in youth with dysglycemia (i.e., impaired glucose tolerance [IGT] and type 2 diabetes), fasting insulin (FI) concentrations are elevated. Herein, we examined the following: 1) metabolic clearance rate of insulin (MCRI) in youth with obesity and normal glucose tolerance (NGT) versus those with IGT versus those with type 2 diabetes; 2) racial and ethnic differences in insulin dynamics; and 3) metabolic/adiposity correlates of MCRI.

Methods: A total of 206 youth underwent assessment of fasting glucose, FI, MCRI and peripheral insulin sensitivity (PIS), first-phase insulin secretion, disposition index, body composition, and abdominal adiposity.

Results: In type 2 …

Individualized Functional And Structural Language Lateralities In Temporal Lobe Epilepsy And Their Impact On Memory, Ankeeta Ankeeta, Qirui Zhang, Sam Sharifzadeh Javidi, Shilpi Modi, Michael R. Sperling, Joseph I. Tracy

Department of Neurology Faculty Papers

The basis and impact of functional asymmetries in the brain, particularly language lateralization, are not fully understood, and the relationship between functional and structural asymmetries remains largely untested. This study investigated the degree to which asymmetries in hemispheric language laterality are concordant with asymmetries in gray matter (GM) structure and whether the hemispheric organization of memory is influenced by functional language asymmetries. Structural and functional MR data was acquired from 261 individuals, including those with unilateral temporal lobe epilepsy (LTLE = 96, RTLE = 69) and matched with healthy participants (HPs = 96). Functional language laterality indices (LIs) were calculated …

Multiple Subcortical And Subcortico-Cortico Dynamic Network Reconfigurations Characterize Focal-To-Bilateral Tonic-Clonic Seizures, Shilpi Modi, A. Ankeeta, Walter Hinds, Michael R. Sperling, Xiaosong He, Joseph I. Tracy

Department of Neurology Faculty Papers

Temporal lobe epilepsy (TLE) is the most common focal epilepsy, with focal to bilateral tonic-clonic seizures (FBTCS+) a more severe form of the disorder. Evidence has underscored the critical role of the thalamus, mesial temporal region, basal ganglia and cerebellum, along with the cortex, in the propagation, termination, and modulation of seizure activity. We examined time variant patterns of interaction within and between 7 cortical and 4 subcortical systems in 55 healthy controls and 56 patients with TLE (n = 40 with FBTCS+ and 15 without), isolating those patterns most distinctive of FBTCS+ utilizing tools from dynamic network neuroscience on …

Importance Of Outbreak Response Research In Bridging Knowledge Gaps On Emerging Infectious Diseases, Robert F Breiman, David Wang, Michael Diamond, Adrianus C M Boon, Et Al.

2020-Current year OA Pubs

An important outcome of the devastating 2014 West African Ebola virus disease outbreak and the 2020 COVID-19 pandemic has been the growing promotion of conducting research during outbreaks of emerging infectious diseases (EIDs) as a valuable and acceptable process of acquiring knowledge to enhance our ability to better prevent and control these diseases in the future. Recognising the unique opportunity during outbreaks to leverage increases in cases over a short time interval and in a circumscribed area, we articulate a systematic process of conducting EID outbreak response research, highlighting knowledge gaps that should be prioritised, and measures that can be …

Tumor Microenvironment Governs The Prognostic Landscape Of Immunotherapy For Head And Neck Squamous Cell Carcinoma: A Computational Model-Guided Analysis, Priyan Bhattacharya, Alban J Linnenbach, Andrew P. South, Ubaldo E. Martinez-Outshoorn, Joseph M. Curry, Jennifer M. Johnson, Larry A. Harshyne, Mỹ G. Mahoney, Adam J. Luginbuhl, Rajanikanth Vadigepalli

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

Immune checkpoint inhibition (ICI) has emerged as a critical treatment strategy for squamous cell carcinoma of the head and neck (HNSCC) that halts the immune escape of the tumor cells. Increasing evidence suggests that the onset, progression, and lack of/no response of HNSCC to ICI are emergent properties arising from the interactions within the tumor microenvironment (TME). Deciphering how the diversity of cellular and molecular interactions leads to distinct HNSCC TME subtypes subsequently governing the ICI response remains largely unexplored. We developed a cellular-molecular model of the HNSCC TME that incorporates multiple cell types, cellular states, and transitions, and molecularly …

Antiviral Prescription In Children With Influenza In Us Emergency Departments: New Vaccine Surveillance Network (Nvsn), 2016-2020., Tess Stopczynski, Justin Z. Amarin, James W. Antoon, Olla Hamdan, Laura S. Stewart, James Chappell, Andrew J. Spieker, Eileen J. Klein, Janet A. Englund, Geoffrey A. Weinberg, Peter G. Szilagyi, John V. Williams, Marian G. Michaels, Julie A. Boom, Leila C. Sahni, Mary Allen Staat, Elizabeth P. Schlaudecker, Jennifer E. Schuster, Rangaraj Selvarangan, Christopher J. Harrison, Heidi L. Moline, Ariana P. Toepfer, Angela P. Campbell, Samantha M. Olson, Natasha B. Halasa

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Influenza contributes to a high burden of pediatric emergency department (ED) visits annually. Guidelines recommend outpatient antiviral treatment for children at higher risk of severe influenza and recommend considering treatment for those who present within 2 days of symptom onset. We describe antiviral prescription in children with influenza presenting to the ED.

METHODS: We analyzed data from the New Vaccine Surveillance Network (2016-2020), including children presenting to the ED and enrolled with confirmed influenza at one of seven pediatric academic centers. We compared characteristics of children prescribed antivirals to those who were not, using generalized estimating equations models to …

Functional Vs Structural Cortical Deficit Pattern Biomarkers For Major Depressive Disorder, Peter Kochunov, Bhim M Adhikari, David Keator, Daniel Amen, Si Gao, Nicole R Karcher, Demetrio Labate, Robert Azencott, Yewen Huang, Hussain Syed, Hongjie Ke, Paul M Thompson, Danny J J Wang, Braxton D Mitchell, Jessica A Turner, Theo G M Van Erp, Neda Jahanshad, Yizhou Ma, Xiaoming Du, William Burroughs, Shuo Chen, Tianzhou Ma, Jair C Soares, L Elliot Hong

Faculty, Staff and Student Publications

Importance: Major depressive disorder (MDD) is a severe mental illness characterized more by functional rather than structural brain abnormalities. The pattern of regional homogeneity (ReHo) deficits in MDD may relate to underlying regional hypoperfusion. Capturing this functional deficit pattern provides a brain pattern-based biomarker for MDD that is linked to the underlying pathophysiology.

Objective: To examine whether cortical ReHo patterns provide a replicable biomarker for MDD that is more sensitive than reduced cortical thickness and evaluate whether the ReHo MDD deficit pattern reflects regional cerebral blood flow (RCBF) deficit patterns in MDD and whether a regional vulnerability index (RVI) thus …

Nf2 Loss-Of-Function And Hypoxia Drive Radiation Resistance In Grade 2 Meningiomas, Bhuvic Patel, Sangami Pugazenthi, Collin W English, Vijay Nitturi, Shree S Pari, Tatenda Mahlokozera, William A Leidig, Hsiang-Chih Lu, Alicia Yang, Kaleigh Roberts, Patrick Desouza, Kyle P Mcgeehan, Diane D Mao, Namita Sinha, Joseph E Ippolito, Sonika Dahiya, Allegra Petti, Hiroko Yano, Tiemo J Klisch, Akdes S Harmanci, Akash J Patel, Albert H Kim

Duncan NRI Faculty and Staff Publications

Background: World Health Organization Grade 2 meningiomas (G2Ms) often recur and resist therapies. Grade 2 meningiomas with histopathological necrosis have been associated with worse local control (LC) after radiation therapy, but the drivers and biomarkers of radiation resistance in G2Ms remain unknown.

Methods: We performed genetic sequencing and histopathological analysis of 113 G2Ms and investigated the role of genetic and microenvironmental factors on clonogenic survival after ionizing radiation. We performed transcriptional profiling of our in vitro model and 18 human G2M tumors by bulk RNA sequencing as well as 8 G2Ms by single nuclei RNA sequencing.

Results: NF2 loss-of-function (LOF) …

Nf2 Loss-Of-Function And Hypoxia Drive Radiation Resistance In Grade 2 Meningiomas, Bhuvic Patel, Sangami Pugazenthi, Shree S Pari, Tatenda Mahlokozera, William A Leidig, Hsiang-Chih Lu, Alicia Yang, Kaleigh Roberts, Patrick Desouza, Kyle P Mcgeehan, Diane D Mao, Namita Sinha, Joseph E Ippolito, Sonika Dahiya, Hiroko Yano, Albert H Kim, Et Al.

2020-Current year OA Pubs

BACKGROUND: World Health Organization Grade 2 meningiomas (G2Ms) often recur and resist therapies. Grade 2 meningiomas with histopathological necrosis have been associated with worse local control (LC) after radiation therapy, but the drivers and biomarkers of radiation resistance in G2Ms remain unknown.

METHODS: We performed genetic sequencing and histopathological analysis of 113 G2Ms and investigated the role of genetic and microenvironmental factors on clonogenic survival after ionizing radiation. We performed transcriptional profiling of our in vitro model and 18 human G2M tumors by bulk RNA sequencing as well as 8 G2Ms by single nuclei RNA sequencing.

RESULTS: NF2 loss-of-function (LOF) …

Clinical Trial Readiness In Limb Girdle Muscular Dystrophy R1 (Lgmdr1): A Grasp Consortium Study, Stephanie M Hunn, Amanda Clause, Conrad C Weihl, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Identifying functional measures that are both valid and reliable in the limb girdle muscular dystrophy (LGMD) population is critical for quantifying the level of functional impairment related to disease progression in order to establish clinical trial readiness in the context of anticipated therapeutic trials.

METHODS: Through the Genetic Resolution and Assessments Solving Phenotypes in LGMD (GRASP-LGMD) Consortium, 42 subjects with LGMDR1 were enrolled in a 12-month natural history study across 11 international sites. Each subject completed a battery of clinical outcome assessments (COA), including the North Star Assessment for Limb Girdle-Type Dystrophies (NSAD), 10-m walk/run, and Performance of the …

Artificial Intelligence Use In Medical Education: Best Practices And Future Directions, Rasheed A. M. Thompson, Yash B. Shah, Francisco Aguirre, Courtney Stewart, Costas D. Lallas, Mihir S. Shah

Department of Urology Faculty Papers

PURPOSEOF REVIEW: This review examines the various ways artificial intelligence (AI) has been utilized in medical education (MedEd)and presents ideas that will ethically and effectively leverage AI in enhancing the learning experience of medical trainees.

RECENT FINDINGS: AI has improved accessibility to learning material in a manner that engages the wider population. It has utility as a reference tool and can assist academic writing by generating outlines, summaries and identifying relevant reference articles. As AI is increasingly integrated into MedEd and practice, its regulation should become a priority to prevent drawbacks to the education of trainees. By involving physicians in …

Spatiotemporal Calcium Signaling Patterns Underlying Opposing Effects Of Histamine And Tas2r Agonists In Airway Smooth Muscle, Stanley Conaway, Joshua Richard, Deepak A. Deshpande

Center for Translational Medicine Faculty Papers

Intracellular calcium (Ca²⁺) release via phospholipase C (PLC) following G-protein-coupled receptor (GPCR) activation is typically linked to membrane depolarization and airway smooth muscle (ASM) contraction. However, recent findings show that bitter taste receptor agonists, such as chloroquine (CQ), induce a paradoxical and potent relaxation response despite activating the Ca²⁺ signaling pathway. This relaxation has been hypothesized to be driven by a distinct compartmentalization of calcium ions toward the cellular periphery, subsequently leading to membrane hyperpolarization, in contrast to the contractile effects of histamine. In this study, we further investigate the spatiotemporal dynamics of Ca²⁺ signaling in …

Methods For Joint Modeling Of Longitudinal Omics Data And Time-To-Event Outcomes: Applications To Lysophosphatidylcholines In Connection To Aging And Mortality In The Long Life Family Study, Konstantin G Arbeev, Olivia Bagley, Svetlana V Ukraintseva, Alexander Kulminski, Eric Stallard, Michaela Schwaiger-Haber, Gary J Patti, Yian Gu, Anatoliy I Yashin, Michael A Province

2020-Current year OA Pubs

Studying the relationships between longitudinal changes in omics variables and event risks requires specific methodologies for joint analyses of longitudinal and time-to-event outcomes. We applied two such approaches (joint models [JM], stochastic process models [SPM]) to longitudinal metabolomics data from the Long Life Family Study, focusing on the understudied associations of longitudinal changes in lysophosphatidylcholines (LPCs) with mortality and aging-related outcomes. We analyzed 23 LPC species, with 5,066 measurements of each in 3,462 participants, 1,245 of whom died during follow-up. JM analyses found that higher levels of the majority of LPC species were associated with lower mortality risks, with the …

Personalizing Neoadjuvant Chemotherapy Regimens For Triple-Negative Breast Cancer Using A Biology-Based Digital Twin, Chase Christenson, Chengyue Wu, David A Hormuth, Jingfei Ma, Clinton Yam, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

Despite advances triple negative breast cancer treatment, ~50% of patients will not achieve a pathological complete response prior to surgery with standard of care neoadjuvant therapy (NAT). We hypothesize that personalized regimens for NAT could significantly improve patient outcomes, which we address with a patient-specific digital twin framework. This framework is established by calibrating a biology-based model to longitudinal magnetic resonance images with approximate Bayesian computation. We then apply optimal control theory to either (1) reduce the final tumor cell number with equivalent dose, or (2) reduce the total dose of NAT with equivalent response. For (1), the personalized regimens …

A Cross-Sectional Study Of The Role Of Epithelial Cell Injury In Kidney Transplant Outcomes, Philip F. Halloran, Tarek Alhamad, Et Al.

2020-Current year OA Pubs

BACKGROUND: Expression of acute kidney injury-associated (AKI-associated) transcripts in kidney transplants may reflect recent injury and accumulation of epithelial cells in "failed repair" states. We hypothesized that the phenomenon of failed repair could be associated with deterioration and failure in kidney transplants.

METHODS: We defined injury-induced transcriptome states in 4,502 kidney transplant biopsies injury-induced gene sets and classifiers previously developed in transplants.

RESULTS: In principal component analysis (PCA), PC1 correlated with both acute and chronic kidney injury and related inflammation and PC2 with time posttransplant. Positive PC3 was a dimension that correlated with epithelial remodeling pathways and anticorrelated with inflammation. …

Turning Analysis Into Action: Opportunities And Challenges In Implementing Wastewater Science For Public Health Decision-Making, Anna Gitter, Valeria Ruvalcaba, Katelyn Clark, Theresa Tran Carapucci, Fuqing Wu, Blake M Hanson, Jennifer Deegan, John Balliew, Eric Boerwinkle, Anthony W Maresso, Kristina D Mena

Faculty, Staff and Students Publications

In the 5 years since the emergence of the COVID-19 pandemic, the field of wastewater-based epidemiology (WBE) has dramatically expanded with programs implemented across the globe to monitor for SARS-CoV-2 and other viruses of public health concern. However, the best way to use wastewater surveillance data and inform local communities of the utility of wastewater science remains limited and sporadically discussed. Specifically, there is vague guidance regarding interpreting varying levels of viral loads in wastewater for public health significance. While collaborative efforts are key to implementing these community-specific wastewater surveillance programs, effectively using the data for public health decision-making still …

Ion-Dna Interactions As A Key Determinant Of Uracil Dna Glycosylase Activity., Sharon N Greenwood, Alexis N Dispensa, Matthew Wang, Justin R Bauer, Timothy D Vaden, Zhiwei Liu, Brian P Weiser

Rowan-Virtua School of Osteopathic Medicine Departmental Research

Because of their ubiquitous presence, ions interact with numerous macromolecules in the cell and affect critical biological processes. Here, we discuss how cations including Mg²⁺ alter the enzymatic activity of a DNA glycosylase by tuning its affinity for DNA. The response of uracil DNA glycosylase (UNG2) to Mg²⁺ ions in solution is biphasic and paradoxical, where low concentrations of the ion stimulate the enzyme, but high concentrations inhibit the enzyme. We analyzed this phenomenon by modeling experimental data with a statistical framework that we empirically derived to understand molecular systems that display biphasic behaviors. Parameters from our statistical …

Histone Methyltransferase Ash1l Primes Metastases And Metabolic Reprogramming Of Macrophages In The Bone Niche, Chenling Meng, Kevin Lin, Wei Shi, Hongqi Teng, Xinhai Wan, Anna Debruine, Yin Wang, Xin Liang, Javier Leo, Feiyu Chen, Qianlin Gu, Jie Zhang, Vivien Van, Kiersten L Maldonado, Boyi Gan, Li Ma, Yue Lu, Di Zhao

Faculty, Staff and Student Publications

Bone metastasis is a major cause of cancer death; however, the epigenetic determinants driving this process remain elusive. Here, we report that histone methyltransferase ASH1L is genetically amplified and is required for bone metastasis in men with prostate cancer. ASH1L rewires histone methylations and cooperates with HIF-1α to induce pro-metastatic transcriptome in invading cancer cells, resulting in monocyte differentiation into lipid-associated macrophage (LA-TAM) and enhancing their pro-tumoral phenotype in the metastatic bone niche. We identified IGF-2 as a direct target of ASH1L/HIF-1α and mediates LA-TAMs' differentiation and phenotypic changes by reprogramming oxidative phosphorylation. Pharmacologic inhibition of the ASH1L-HIF-1α-macrophages axis elicits …

Incorporating Latent Survival Trajectories And Covariate Heterogeneity In Time-To-Event Data Analysis: A Joint Mixture Model Approach, Fu-Wen Liang, Wenyaw Chan, Michael D Swartz, Bouthaina S Dabaja

Faculty, Staff and Student Publications

Background: Finite mixture models have been recently applied in time-to-event data to identify subgroups with distinct hazard functions, yet they often assume differing covariate effects on failure times across latent classes but homogeneous covariate distributions. This study aimed to develop a method for analyzing time-to-event data while accounting for unobserved heterogeneity within a mixture modeling framework.

Methods: A joint model was developed to incorporate latent survival trajectories and observed information for the joint analysis of time-to-event outcomes, correlated discrete and continuous covariates, and a latent class variable. It assumed covariate effects on survival times and covariate distributions vary across latent …

Natural History Models For Lung Cancer: A Scoping Review, Renu Sara Nargund, Sayaka Ishizawa, Maryam Eghbalizarch, Paul Yeh, Seyyed Mostafa Mousavi Janbeh Saray, Sara Nofal, Yimin Geng, Pianpian Cao, Edwin J Ostrin, Rafael Meza, Martin C Tammemägi, Robert J Volk, Maria A Lopez-Olivo, Iakovos Toumazis

Faculty, Staff and Student Publications

Introduction: Natural history models (NHMs) of lung cancer (LC) simulate the disease's natural progression providing a baseline for assessing the impact of interventions. NHMs have been increasingly used to inform public health policies, highlighting their utility. The objective of this scoping review was to summarize existing LC NHMs, identify their limitations, and propose a framework for future NHM development.

Methods: We searched MEDLINE, Embase, Web of Science, and IEEE Xplore from their inception to October 5, 2023, for peer-reviewed, full-length articles with an LC NHM. Model characteristics, their applications, data sources used, and limitations were extracted and narratively synthesized.

Results: …

Oculomics: Current Concepts And Evidence, Zhuoting Zhu, Yueye Wang, Ziyi Qi, Wenyi Hu, Xiayin Zhang, Siegfried K Wagner, Yujie Wang, An Ran Ran, Joshua Ong, Ethan Waisberg, Mouayad Masalkhi, Alex Suh, Yih Chung Tham, Carol Y Cheung, Xiaohong Yang, Honghua Yu, Zongyuan Ge, Wei Wang, Bin Sheng, Yun Liu, Andrew G Lee, Alastair K Denniston, Peter Van Wijngaarden, Pearse A Keane, Ching-Yu Cheng, Mingguang He, Tien Yin Wong

Faculty, Staff and Student Publications

The eye provides novel insights into general health, as well as pathogenesis and development of systemic diseases. In the past decade, growing evidence has demonstrated that the eye's structure and function mirror multiple systemic health conditions, especially in cardiovascular diseases, neurodegenerative disorders, and kidney impairments. This has given rise to the field of oculomics-the application of ophthalmic biomarkers to understand mechanisms, detect and predict disease. The development of this field has been accelerated by three major advances: 1) the availability and widespread clinical adoption of high-resolution and non-invasive ophthalmic imaging ("hardware"); 2) the availability of large studies to interrogate associations …

Cortical Structure In Nodes Of The Default Mode Network Estimates General Intelligence, Abhinav Yadav, Archana Purushotham

Faculty, Staff and Students Publications

Introduction: A growing number of studies implicate functional brain networks in intelligence, but it is unclear if network nodal structure relates to intelligence.

Methods: Using MRI, we studied the relationship of the general intelligence factor (g) with cortical thickness (CT), local gyrification index (LGI), and voxel-based morphometry in the nodes of the default mode network (DMN) and task-positive network (TPN) in a cohort of 44 young, healthy adults. Employing a novel strategy, we performed repeated analyses with multiple sets of g estimates to remove false positives.

Results: CT and LGI in medial and temporal nodes of the DMN were reliably …

Early Prediction Of Mortality And Morbidities In Vlbw Preterm Neonates Using Machine Learning, Chi-Hung Shu, Rema Zebda, Camilo Espinosa, Jonathan Reiss, Anne Debuyserie, Kristina Reber, Nima Aghaeepour, Mohan Pammi

Faculty, Staff and Students Publications

Background: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.

Hypothesis: Integrating key maternal and postnatal infant variables in the first 2 weeks of age into machine learning (ML) algorithms will reliably predict survival and specific morbidities in VLBW preterm infants.

Methods: ML algorithms were developed to integrate 47 features for predicting mortality, bronchopulmonary dysplasia (BPD), neonatal sepsis, necrotizing enterocolitis (NEC), intraventricular hemorrhage (IVH), cystic periventricular leukomalacia (PVL), and retinopathy of prematurity (ROP). A retrospective cohort (n = 3341) was used to train and validate the models with a repeated 10-fold cross-validation …

Digital Twins, Synthetic Patient Data, And In-Silico Trials: Can They Empower Paediatric Clinical Trials?, Mohan Pammi, Prakesh S Shah, Liu K Yang, Joseph Hagan, Nima Aghaeepour, Josef Neu

Faculty, Staff and Students Publications

Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, many paediatric trials are discontinued early due to challenges in patient enrolment. Hence, most paediatric clinical trials suffer from lack of adequate power. Additionally, trials are expensive and might expose patients to unproven therapies. Alternatives to overcome these issues using virtual patient data—namely, digital twins, synthetic patient data, and in-silico trials—are now possible due to rapid advances in digital health-care tools and interventions. However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data …

Recommendations For Design, Execution, And Reporting Of Studies On Experimental Thoracic Aortopathy In Preclinical Models, Alan Daugherty, Dianna M Milewicz, David A Dichek, Ketan B Ghaghada, Jay D Humphrey, Scott A Lemaire, Yanming Li, Ziad Mallat, Yvan Saeys, Hisashi Sawada, Ying H Shen, Toru Suzuki, Zhen Zhou

Faculty, Staff and Students Publications

There is a recent dramatic increase in research on thoracic aortic diseases that includes aneurysms, dissections, and rupture. Experimental studies predominantly use mice in which aortopathy is induced by chemical interventions, genetic manipulations, or both. Many parameters should be deliberated in experimental design in concert with multiple considerations when providing dimensional data and characterization of aortic tissues. The purpose of this review is to provide recommendations on guidance in (1) the selection of a mouse model and experimental conditions for the study, (2) parameters for standardizing detection and measurements of aortic diseases, (3) meaningful interpretation of characteristics of diseased aortic …

High-Dimensional Mediation Analysis For Longitudinal Mediators And Survival Outcomes, Lili Liu, Haixiang Zhang, Yinan Zheng, Tao Gao, Cheng Zheng, Kai Zhang, Lifang Hou, Lei Liu

2020-Current year OA Pubs

Mediation analysis with high-dimensional mediators is crucial for identifying epigenetic pathways linking environmental exposures to health outcomes. However, high-dimensional mediation analysis methods for longitudinal mediators and a survival outcome remain underdeveloped. This study fills that gap by introducing a method that captures mediation effects over time using multivariate, longitudinally measured time-varying mediators. Our approach uses a longitudinal mixed effects model to examine the relationship between the exposure and the mediating process. We connect the mediating process to the survival outcome using a Cox proportional hazards model with time-varying mediators. To handle high-dimensional data, we first employ a mediation-based sure independence …

Brain Morphometry In Infants Later Diagnosed With Autism Is Related To Later Language Skills, Luke E Moraglia, Kelly N Botteron, Natasha Marrus, Et Al.

2020-Current year OA Pubs

Autism spectrum disorder (ASD) presents early in life with distinct social and language differences. This study explores the association between infant brain morphometry and language abilities using an infant-sibling design. Participants included infants who had an older sibling with autism (high likelihood, HL) who were later diagnosed with autism (HL-ASD; n = 31) and two non-autistic control groups: HL-Neg (HL infants not diagnosed with autism; n = 126) and LL-Neg (typically developing infants who did not have an older sibling with autism; n = 77). Using a whole-brain approach, we measured cortical thickness and surface area at 6 and 12 …

Building A Pre-Surgical Multiparametric-Mri-Based Morphologic, Qualitative, Semiquantitative, First And High-Order Radiomic Predictive Treatment Response Model For Undifferentiated Pleomorphic Sarcoma To Replace Recist, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E Torres, Robert S Benjamin, Jingfei Ma, Ken-Pin Hwang, R Jason Stafford, Dejka Araujo, Andrew J Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V Valenzuela, Chengyue Wu, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Background: Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

Methods: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves …

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …

Tobacco Smoking Functional Networks: A Whole-Brain Connectome Analysis In 24 539 Individuals, Yezhi Pan, Chuan Bi, Zhenyao Ye, Hwiyoung Lee, Jiaao Yu, Luba Yammine, Tianzhou Ma, Peter Kochunov, L Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

Introduction: Nicotine addiction, a multifaceted neuropsychiatric disorder, profoundly impacts brain functions through interactions with neural pathways. Despite its significance, the impact of tobacco smoking on the whole-brain functional connectome remains largely unexplored.

Aims and methods: We conducted a whole-brain analysis on 24 539 adults aged 40 and above from the United Kingdom Biobank cohort. Subjects were categorized into individuals who use nicotine and those who do not use nicotine based on current and chronic tobacco smoking information. Functional connectivity was assessed using resting-state functional magnetic resonance imaging. We employed a network analysis method to assess the systematic effects of tobacco …