Digital Commons Network^™

Comparison Of Model-Predicted And Observed Evinacumab Pharmacokinetics And Efficacy In Children Aged < 5 Years With Homozygous Familial Hypercholesterolemia., Sébastien Bihorel, Robert Dingman, Jeanne Mendell, Katy C. Norman, Richard T. George, Xue-Qiao Zhao, Robert Pordy, Daniel Garcia, Wendy S. Putnam, Geetha Raghuveer, Brian W. Mccrindle, Elena Fornari, Ivo Baric, Shubha Srinivasan, Melissa Diamond, Eliot A. Brinton, John D. Davis, A Thomas Dicioccio, Lutz Harnisch

Manuscripts, Articles, Book Chapters and Other Papers

Evinacumab, an angiopoietin-like 3 inhibitor, significantly reduces low-density lipoprotein cholesterol (LDL-C) in patients with homozygous familial hypercholesterolemia (HoFH). Herein, we report pharmacokinetic and efficacy analyses of evinacumab in <  5-year-old patients with HoFH. Population pharmacometric models characterizing evinacumab exposure and LDL-C response accounting for lipoprotein apheresis effect in ≥ 5-year-old patients were adapted for growth and maturation to predict and compare evinacumab and LDL-C concentrations across age/weight groups in virtual ≥ 6-month-old patients receiving 15 mg/kg evinacumab intravenous (iv) infusions every 4 weeks (q4w). As expected from allometric theory, weight-based dosing resulted in decreasing evinacumab exposures with declining body weight. Consistent with trends observed in > 5-year-old patients, the predicted percent change from LDL-C baseline (%∆LDL-C) was generally comparable or even higher in <  5-year-old patients (63.0%-68.5%) than in 5- to <  18-year-old patients (61.3%-67.8%) or adults (51.7%), with the predicted percentages of patients achieving %∆LDL-C > 50% also higher in <  5-year-old patients (82.0%-86.9%) versus 5- to <  18-year-old patients (72.0%-84.5%) and adults (54.8%). Through a managed access program, six 1- to <  5-year-old patients received between 5 and 23 iv infusions of 15 mg/kg evinacumab q4w. Rapid and clinically meaningful LDL-C reductions were observed, with %∆LDL-C at the last reported dose ranging from 41.3% to 77.3%. Based on the actual patient dosing and plasmapheresis history, model-predicted evinacumab and LDL-C concentrations were comparable to the observed data collected in the managed access program. Overall, this analysis provides evidence for the use of evinacumab 15 mg/kg iv q4w dosing regimen in 6-month-old to 5-year-old patients.

Concerns Regarding The Standard Deviation Of Individual Responses For Assessing Treatment Response Heterogeneity, Aaron R Caldwell, David B Allison, Andrew W Brown, Gary L Gadbury, Thirupathi Reddy Mokalla, R Drew Sayer, Andrew D Vigotsky

Children’s Nutrition Research Center Staff Publications

The estimation of treatment response heterogeneity (TRH) is increasingly important as medicine moves toward personalized approaches. While various statistical methods have been proposed to quantify TRH in parallel-group trials, the standard deviation of individual responses (SDIR) has gained prominence within physiological research. This method is intended to quantify individual response variation by comparing standard deviations of change scores between intervention and control groups. We acknowledge that SDIR represents an improvement over many other flawed approaches that often involve responder counting. However, SDIR has critical limitations: 1) it cannot overcome the fundamental problem of causal inference because the correlation between potential …

Restricting Metabolic Plasticity Enhances Stress Adaptation Through The Modulation Of Pdh And Hif1a In Trap1-Depleted Colon Cancer, Hong-Yuan Tsai, Miao-Hsueh Chen, Jihye Yun, Lisa A Lai, John F Valentine, Mary P Bronner, Teresa A Brentnall, Sheng Pan, Ru Chen

Faculty, Staff and Student Publications

Metabolic plasticity allows cancer cells to survive under adverse conditions. To investigate the role of mitochondrial chaperone tumor necrosis factor receptor-associated protein 1 (TRAP1) in this process, we used CRISPR/Cas9 mediated genetic deletion to knock out (KO) TRAP1 in colon cancer cells. Depletion of TRAP1 triggered a series of events: induced metabolic reprogramming, increased glycolytic flux, downregulation of mitochondrial complex I, and elevated ROS generation. TRAP1-deficient cells showed tolerance to Oxidative Phosphorylation (OXPHOS) inhibitors and exhibited a higher extracellular acidification rate (ECAR). Additionally, TRAP1 depletion activated hypoxia response elements (HREs) and upregulated HIF1A target genes such as GLUT1 and MCT1. …

Exploring The Future Of Occupational Safety Research: A Strategic Foresight Approach, Jessica M K Streit, Sarah A Felknor, Nicole T Edwards, John J Howard

Faculty, Staff and Student Publications

A team from the U.S. National Institute for Occupational Safety and Health conducted a strategic foresight project to explore the future of occupational safety research (OSR). Data collected via systematic horizon scanning and key informant interviews were synthesized into six drivers of OSR change: (1) technological advancement, (2) partnerships and public trust, (3) prioritizing research investments, (4) safety and health integration, (5) data and science quality, and (6) worker protections. These drivers served as the basis for envisioning four potential OSR futures. Analysis of the resulting scenarios identified opportunities to enhance and advance OSR methods and approaches, innovation, systems thinking, …

Stomach Cancer Incidence In Asians As Compared To Other Ethnic Populations Over Time From 2000 To 2021 In Seer Areas Of The United States, Zhuoyun Li, Xianglin L Du

Faculty, Staff and Student Publications

Background: Stomach cancer is the fourth leading cause of cancer-related deaths globally, but its late-stage detection and its lack of early symptoms are still the main challenges ahead. Limited research has focused on detailed racial and ethnic disparities in stomach cancer incidence within the United States. This study aims to address these gaps by analyzing age-adjusted stomach cancer incidence rates from 2000 to 2021.

Methods: Using data from the US Surveillance, Epidemiology, and End Results (SEER) program (2000-2021), we identified a cohort of 138,628 individuals diagnosed with incident stomach cancer at age ≥ 20. Both crude and age-adjusted models were …

Redefining Central Nervous System Multiple Myeloma: From Rare Phenomenon To Emerging Entity, Ian Landry, Adam F. Binder, Marc Yorker, Sarah Ramirez

Department of Medical Oncology Faculty Papers

BACKGROUND: Central nervous system involvement in multiple myeloma (CNS-MM) is considered a rare but devastating manifestation of extra-medullary disease (EMD) associated with aggressive biology and dismal outcomes. Treatment advances over the past few decades have improved survival in patients with MM, however, it has not translated into a similar survival benefit for those with CNS-MM. Early recognition and targeted management of CNS-MM remain major clinical challenges.

OBJECTIVE: This literature review summarizes the current literature on epidemiology, risk factors, clinical features, diagnostic modalities, and therapeutic approaches to CNS-MM. It focuses on emerging biomarkers and new treatment options that may affect the …

Deciphering Rna Modification And Post-Transcriptional Regulation With Netrnapan, Haodong Xu, Wankun Deng, Ruifeng Hu, Binfeng Liu, Wenchao Zhang, Lujuan Wang, Lin Qi, Xiaolei Ren, Chao Tu, Zhihong Li, Zhongming Zhao

Faculty, Staff and Student Publications

RNA modification, which is evolutionarily conserved, is crucial for modulating various biological functions and disease pathogenesis. High resolution transcriptome-wide mapping of RNA modifications has facilitated both data resources and computational prediction of RNA modification. While these prediction algorithms are promising, they are limited in interpretability or generalizability, or the capacity for discovering novel post-transcriptional regulations. Here, we present NetRNApan, a deep learning framework for RNA modification site prediction, motif discovery and trans-regulatory factor identification. Using m5U profiles generated by FICC-seq and miCLIP-seq technologies and single-base resolution m6A sites from multiple experiments as cases, we demonstrated the accuracy of NetRNApan with …

Association Of Pathogenic/Likely Pathogenic Inherited Cardiomyopathy Variants With Heart Failure: A Topmed Multiancestry Analysis, Naman S Shetty, Mokshad Gaonkar, Akhil Pampana, Nirav Patel, April P Carson, Bernhard Haring, Bruce M Psaty, Charles Kooperberg, Eric Boerwinkle, Jerome I Rotter, João A C Lima, Jorge R Kizer, Lisa Warsinger Martin, Kent D Taylor, Michael E Hall, Myriam Fornage, Sanjiv J Shah, Stephen S Rich, Ramachandran S Vasan, Rami Nassir, Peng Li, Garima Arora, Pankaj Arora

Faculty, Staff and Student Publications

OBJECTIVE: To evaluate the prevalence of pathogenic/likely pathogenic inherited cardiomyopathy variants and their association with heart failure in the (TOPMed) TransOmic for Precision of Medicine cohorts.

METHODS: A retrospective cohort study using the TOPMed cohorts, including multi-ancestry US adults (≥18 years of age) with sequencing data, was conducted. Pathogenic/likely pathogenic inherited cardiomyopathy variant carrier status was determined based on ClinVar variants classified with two or more stars of evidence. Individuals without pathogenic/likely pathogenic variants were used as the reference group. The primary outcome was heart failure , adjudicated by an expert panel. Cox proportional hazards models assessed the association between …

Revisiting The Genetics Of Hypophosphatasia., Priya S. Kishnani, Catherine Rehder, Keiichi Ozono, Jordi Pérez-López, Guillermo Del Angel, William R. Mowrey, Meena Balasubramanian, Wolfgang Högler, Eric T. Rush

Manuscripts, Articles, Book Chapters and Other Papers

Hypophosphatasia (HPP) is a rare, inherited monogenic disorder that is typically caused by variants in the tissue-nonspecific alkaline phosphatase (ALPL) gene. Genetic testing for ALPL variant(s) to confirm the diagnosis in patients with suspected HPP is a standard practice based on availability. This review attempts to improve the current understanding of the genetics of HPP as it addresses five key related topics: (1) HPP patterns of inheritance and the relationship between HPP genotype and phenotype, (2) how the disease can manifest (including specific genotypes) in heterozygotes, (3) potential reasons why some patients have persistently low alkaline phosphatase activity yet lack …

Microbial Signals In Primary And Metastatic Brain Tumors, Golnaz Morad, Ashish V Damania, Brenda Melendez, Bharat B Singh, Fabiana J Veguilla, Rebecca A Soto, Yasmine M Hoballah, Pranoti V Sahasrabhojane, Matthew C Wong, Mona M Ahmed, Rene N Rico, Kaitlyn N Lewis, Khalida Wani, Diana D Shamsutdinova, Rossana N Lazcano Segura, Davis R Ingram, Eric A Goethe, Abderrahman Day, Ivonne I Flores, Lauren K Mcdaniel, Manoj Chelvanambi, Sarah B Johnson, Florentia Dimitriou, Pravesh Gupta, Shivangi Oberai, M Anna Zal, Phoebe Doss, Mohamed A Jamal, Eiko Hayase, Chetna Wathoo, Lisa M Norberg, Stephanie L Jenkins, Sara Nass, Joy Gumin, Lihong Long, Jing Yang, Gina R Bradley, Mahesh Prasad Bekal, Antonio G Dono, Pavel S Pichardo-Rojas, Samuel W Andrewes, Leomar Y Ballester, Jillian S Losh, Jiyong Liang, Longfei Huo, Douglas C Nielsen, Brittany C Parker Kerrigan, Priscilla K Brastianos, Natalie Wall Fowlkes, Chia-Chi Chang, Robert R Jenq, Candelaria Gomez-Manzano, Jason T Huse, Michael A Davies, Alexander J Lazar, Krishna P Bhat, Nitin Tandon, Yoshua Esquenazi, Christine B Peterson, Vinay K Puduvalli, Frederick F Lang, Christopher D Johnston, Susan Bullman, Nadim J Ajami, Sherise D Ferguson, Jennifer A Wargo

Faculty, Staff and Student Publications

Gliomas and brain metastases are associated with poor prognosis, necessitating a deeper understanding of brain tumor biology and the development of effective therapeutic strategies. Although our group and others have demonstrated microbial presence in various tumors, recent controversies regarding cancer-type-specific intratumoral microbiota emphasize the importance of rigorous, orthogonal validation. This prospective, multi-institutional study included a total of 243 samples from 221 patients, comprising 168 glioma and brain metastases samples and 75 non-cancerous or tumor-adjacent tissues. Using stringent fluorescence in situ hybridization, immunohistochemistry and high-resolution spatial imaging, we detected intracellular bacterial 16S rRNA and lipopolysaccharides in both glioma and brain metastases …

Targeting The Hippo Pathway For Cardiac Regeneration, Rich Gang Li, Fansen Meng, James F Martin

Faculty, Staff and Students Publications

Ischemic heart disease, which affects more than 200 million people worldwide, is caused by reduced blood flow to the heart and leads to widespread cardiomyocyte death. Due to the limited regenerative potential of cardiomyocytes, the lost tissue is replaced by a fibrotic scar, resulting in reduced cardiac function and progression to heart failure. Current therapeutic interventions aim to improve blood flow but cannot address the inability of cardiomyocytes to renew after injury. However, multiple studies have shown that modulating the Hippo signaling pathway to activate Yes-associated protein (YAP), a transcription coactivator, in adult murine and porcine cardiomyocytes induces robust cardiomyocyte …

Gregor: Accelerating Genomics For Rare Diseases, Moez Dawood, Ben Heavner, Marsha M Wheeler, Rachel A Ungar, Jonathan Lotempio, Laurens Wiel, Seth Berger, Jonathan A Bernstein, Jessica X Chong, Emmanuèle C Délot, Evan E Eichler, James R Lupski, Ali Shojaie, Michael E Talkowski, Alex H Wagner, Chia-Lin Wei, Christopher Wellington, Matthew T Wheeler, Gregor Partner Members, Claudia M B Carvalho, Richard A Gibbs, Casey A Gifford, Susanne May, Danny E Miller, Heidi L Rehm, Kaitlin E Samocha, Fritz J Sedlazeck, Eric Vilain, Anne O'Donnell-Luria, Jennifer E Posey, Lisa H Chadwick, Michael J Bamshad, Stephen B Montgomery, Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium

Faculty, Staff and Students Publications

Rare diseases are collectively common, affecting approximately 1 in 20 individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in next-generation sequencing, development of new computational and functional genomics approaches to prioritize genes and variants and increased global sharing of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize and evaluate emerging genomics technologies …

The Mythology Of Polymyositis, Suur Biliciler, Tahseen Mozaffar

Faculty, Staff and Student Publications

Polymyositis (PM) has been in the diagnostic armamentarium in medicine since the mid-nineteenth century. Medicine training puts a heavy emphasis on this diagnosis, and anyone with proximal muscle weakness with elevated serum creatinine kinase is assumed to be PM and a number of patients were rendered this diagnosis without additional testing. This article addresses the historical aspects of the diagnosis of PM and its evolution. We review this literature that addresses the rarity of this diagnosis and rightly puts in perspective in terms of its occurrence in relation to other inflammatory myositides.

Depression Polygenicity And Disease Activity And Disability Worsening In Multiple Sclerosis, Ali Manouchehrinia, Kathryn C Fitzgerald, Amber Salter, Ruth Ann Marrie, Lars Alfredsson, Charles N Bernstein, James M Bolton, Gary Cutter, John D Fisk, Lesley A Graff, Carol A Hitchon, Jan Hillert, Ingrid Kockum, Yi Lu, Fred D Lublin, Kyla Mckay, Tomas Olsson, Scott Patten, Amit Patki, Hayley Riel, Klementy Shchetynsky, Pernilla Stridh, Hemant K Tiwari, Jerry S Wolinsky, Kaarina Kowalec

Faculty, Staff and Student Publications

Objective: A better understanding of factors associated with multiple sclerosis (MS) disease activity and disability is needed. Given the strong link between comorbid depression and MS disease activity and disability, we aimed to determine whether the depression genetic burden, as modelled using its polygenic score, is associated with MS disease activity and disability worsening.

Methods: In this cohort study, we used samples from neurologist-defined adult people with MS (PwMS) followed in clinical care or during a clinical trial from existing cohorts: Canada, the United States (US), and Sweden with extensive longitudinal phenotypes. We computed the depression polygenic score (PGS) and …

Meeting Report From The 2024 Symposium On Irak4 In Cancer: Highlights And Clinical Updates, Eric S Winer, Marina Konopleva, Han W Tun, Kian-Huat Lim, Bently Doonan, Klaus H Metzeler, Lakshmi Nayak, Andrés J M Ferreri, Christina Von Roemeling, Grzegorz S Nowakowski, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a serine/threonine kinase that mediates interleukin-1 and Toll-like receptor (TLR) signaling. IRAK4 drives the activation of nuclear factor kappa B (NF-κB), which promotes cell survival, inflammation, and proliferation. Aberrant activation of IRAK4 and TLR signaling has been implicated in multiple malignancies. At the 3rd Annual IRAK4 in Cancer Symposium, experts discussed the role of IRAK4 in cancer biology, the potential for synergism between IRAK4 inhibition and other treatments to overcome resistance, and how IRAK4 inhibition may improve clinical outcomes. Preclinical data were presented demonstrating the activity of IRAK4 inhibition alone or in combination with …

Continuous Androgen Deprivation Therapy With Or Without Metastasis-Directed Therapy For Oligometastatic Prostate Cancer: The Multicenter Phase 2 Randomized Extend Trial, Alexander D Sherry, Bilal A Siddiqui, Cara Haymaker, Bryan M Fellman, Marina N Medina-Rosales, Tharakeswara K Bathala, Shuqi Wang, Suyu Liu, Aaron Seo, Kieko Hara, Hsinyi Lu, Patricia Troncoso, Stephen G Chun, Chul S Ha, Lauren L Mayo, Henry Mok, Ryan J Park, Brian F Chapin, Ryan M Phillips, Matthew P Deek, Craig A Kovitz, Ana Aparicio, Amado J Zurita, Patrick G Pilie, Lorenzo Cohen, Seungtaek L Choi, Alexandre Reuben, Phuoc T Tran, Paul G Corn, Sumit K Subudhi, Chad Tang

Faculty, Staff and Student Publications

Background and objective: Oligometastatic prostate cancer (omPC) is characterized by limited metastases. We hypothesized that metastasis-directed therapy (MDT) to all sites of omPC combined with androgen deprivation therapy (ADT) would improve clinical outcomes.

Methods: In the multicenter phase 2 EXTEND trial, patients with omPC were randomized 1:1 to ADT versus MDT + ADT in two independently powered and randomized baskets, one using intermittent ADT and one using continuous ADT. The primary endpoint was progression-free survival (PFS). The secondary endpoints included radiologic PFS (rPFS) and castration resistance-free survival (CRFS). Here, the primary results of the continuous ADT basket, the combined analysis …

Rank-Based Learning: A Novel High-Throughput Algorithm Resilient To Missing Data And Effective For Datasets With Small Sample Size, Lulu Song, Hamid Khoshfekr Rudsari, Johannes F Fahrmann, Jody Vykoukal, Sam Hanash, James P Long, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

High-throughput omics data present challenges for binary classification due to platform variability, batch effects, missing values, and high dimensionality. This study presents a novel Rank-Based Learning (RBL) method that leverages relative feature rankings to improve robustness and generalizability. We evaluated RBL against established methods like Logistic Regression (LR) and Random Forest (RF) using simulated data and two real-world plasma proteomics datasets: early-stage small cell lung cancer (SCLC) and duodenopancreatic neuroendocrine tumors (dpNET) in patients with Multiple Endocrine Neoplasia type 1 (MEN1). In simulation experiments, RBL outperformed LR under conditions involving batch effects, missing data, and varying numbers of true differential …

Integration Of Genetic And Imaging Data For Alzheimer's Disease Diagnosis And Interpretation, Yanfei Wang, Qing Wang, Minghao Zhou, Jialu Liang, Lei You, Breton Asken, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by complex interactions between genetic risk factors and structural brain changes. Traditional diagnostic approaches that rely on single-modality data, such as imaging or genomics alone, often fall short in both predictive accuracy and biological interpretability. To address these limitations, AlzCLIP, a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI-derived imaging features into a unified embedding space is introduced. This joint representation captures disease-relevant interactions between genetic variation and brain structure, enabling both accurate diagnosis and mechanistic insight into AD. AlzCLIP is trained and evaluated on two …

Modeling Cell Differentiation In Neuroblastoma: Insights Into Development, Malignancy, And Treatment Relapse., Simon F. Martina-Perez, Luke A. Heirene, Jennifer C. Kasemeier, Paul M. Kulesa, Ruth E. Baker

Manuscripts, Articles, Book Chapters and Other Papers

Neuroblastoma is a paediatric extracranial solid cancer that arises from the developing sympathetic nervous system and is characterised by an abnormal distribution of cell types in tumours compared to healthy infant tissues. In this paper, we propose a new mathematical model of cell differentiation during sympathoadrenal development. By performing Bayesian inference of the model parameters using clinical data from patient samples, we show that the model successfully accounts for the observed differences in cell type heterogeneity among healthy adrenal tissues and four common types of neuroblastomas. Using a phenotypically structured model, we show that alterations in healthy differentiation dynamics are …

Study Of 18 F-Fluciclovine Pet For Serial Assessment Of Glioblastoma Tumor Volumes During Surgery And Radiotherapy, Samir A Dagher, Jason M Johnson, Rania M M Mohamed, Shehbaz Ansari, Osama Mawlawi, Ho-Ling Liu, Max Wintermark, Dawid Schellingerhout, Lesley Flynt, Debra N Yeboa, Jeffrey S Weinberg, Sherise D Ferguson, Maria K Gule-Monroe

Faculty, Staff and Student Publications

PURPOSE: Recent evidence supports incorporating 18 F-Fluciclovine PET for glioblastoma treatment planning and monitoring, as it better captures tumor infiltration compared to conventional MRI. However, the relationship between PET- and MRI-defined tumor volumes remains unclear, particularly in the post-treatment setting. This study prospectively compares tumor volumes on MRI and PET at multiple timepoints throughout the treatment course and evaluates volumetric changes with therapy.

METHODS: We prospectively enrolled 8 adults with IDH-wildtype glioblastoma treated with surgery and chemoradiation between September 2019 and 2021. Participants underwent paired 18 F-Fluciclovine PET/CT and conventional MRI at four timepoints: preoperatively, pre-radiation, and at one- and …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

In Silico Assessment Of Cellular Damage From Lu-177, Ac-225, And Pb-212 Therapeutic Radionuclides, Konstantinos P Chatzipapas, Konstantinos Papachristou, Dimitris Visvikis, Sebastien Incerti, John D Hazle, George C Kagadis

Faculty, Staff and Student Publications

Background: Targeted radionuclide therapy (TRT) has emerged as a unique and effective treatment modality for cancer. Monte Carlo simulations have greatly advanced investigations into radiation-caused DNA damage, including the complexity of this damage.

Purpose: This study aimed to evaluate DNA damage induced by high-linear energy transfer therapeutic radionuclides used in TRT, specifically 225Ac, 177Lu, and 212Pb, using Geant4-DNA Monte Carlo simulations.

Methods: The Geant4-DNA toolkit, incorporating the "molecularDNA" example, was employed to simulate radiation interactions within a human fibroblast cell model featuring a fractal chromatin fiber geometry within an ellipsoidal nucleus. Three source geometries (membrane, cytoplasm, nucleus) were modeled to …

Neurodevelopmental Abnormalities Underlying Behavioral Deficits In A Model Of Pediatric Obstructive Sleep Apnea, Arvind Chandrakantan, Michael R Williamson, Vaishnav Krishnan, Mahyar J Hedayatpour, Adam C Adler, Nandani Adyapak, Chris S Ward, Russell Ray, David Durgan, Farrah Kheradmand, Benjamin Deneen

Faculty, Staff and Students Publications

Rationale: Pediatric Obstructive Sleep Apnea (POSA) is a relatively common childhood sleep disorder whose neurodevelopmental phenotype includes deficits in learning and memory, olfaction, and fine motor abilities.

Objectives: To date, there has not been a validated preclinical model of POSA, hampering efforts in understanding how nocturnal episodes of intermittent hypoxia disrupt neurodevelopmental trajectories. The objective of this study was to create a faithful sculpting of the human condition in a preclinical murine model.

Methods: We used clinical data from children with POSA to develop and validate a mouse model of POSA that faithfully recapitulates several behavioral deficits seen in the …

Can Interpersonal Trust Predict And Account For Symptom Change During Group Cognitive Processing Therapy For Ptsd? An Investigation Of The Iterated Trust Game, M Wright Williams, Christopher Hunt, David P Graham, Matt Estey, Lia Smith, Katherine Mccurry, Brooks King-Casas, Pearl Chiu

Faculty, Staff and Students Publications

Objective: Group cognitive processing therapy (GCPT) is frequently utilized to treat PTSD within the VA healthcare system, but its mechanisms are not well understood. Interpersonal trust could be an important change process in GCPT given its relevance to group-based therapy and its role in CPT, but self-report measures are inadequate for capturing the dynamic interplay that defines interpersonal trust. Here, we examined the degree to which interpersonal could predict and account for PTSD symptom change in GCPT using the iterated trust game (ITG)-a behavioral task used to approximate real-world trust behavior.

Methods: Participants were Veterans with PTSD who participated in …

Glycerol-3-Phosphate Activates Chrebp, Fgf21 Transcription And Lipogenesis In Citrin Deficiency, Vinod Tiwari, Byungchang Jin, Olivia Sun, Edwin D J Lopez Gonzalez, Min-Hsuan Chen, Xiwei Wu, Hardik Shah, Andrew Zhang, Mark A Herman, Cassandra N Spracklen, Russell P Goodman, Charles Brenner

Faculty, Staff and Students Publications

Citrin deficiency (CD) is caused by the inactivation of SLC25A13, a mitochondrial membrane protein required to move electrons from cytosolic NADH to the mitochondrial matrix in hepatocytes. People with CD do not like sweets. Here we show that SLC25A13 loss causes the accumulation of glycerol-3-phosphate (G3P), which activates the carbohydrate response element-binding protein (ChREBP) to transcribe FGF21, which acts in the brain to restrain intake of sweets and alcohol and to transcribe key genes driving lipogenesis. Mouse and human data suggest that G3P-ChREBP is a mechanistic component of the Randle Cycle that contributes to metabolic-dysfunction-associated steatotic liver disease and forms …

Inhibition Of Bmper Mitigates Pulmonary Hypertension By Modulating Lrp1-Yap Interaction In Smooth Muscle Cells, Hua Mao, Claire M Li, Bing Sun, Christopher S Ward, Alan R Waich-Cohen, Ivan O Rosas, Howard J Huang, Harry Karmouty-Quintana, Liang Xie, Lavannya M Pandit, Xinchun Pi

Faculty, Staff and Students Publications

Background: BMPER (bone morphogenetic protein-binding endothelial regulator) is a secreted protein that is highly expressed in endothelial cells. It regulates the BMP (bone morphogenetic protein) pathway during vascular development and adulthood. Mutations in the BMP pathway are recognized as risk factors for pulmonary arterial hypertension group 1 pulmonary hypertension (PH). However, the roles of BMPER in pulmonary arterial hypertension remain unknown.

Methods: We assessed BMPER expression in Group 1 pulmonary arterial hypertension patient samples and examined its role in vascular remodeling using in vivo and in vitro approaches.

Results: BMPER level was elevated in pulmonary arterial hypertension lungs and significantly …

Pharmacological Treatment For Patients With Obesity And Heart Failure: Focus On Glucagon-Like Peptide-1 Receptor Agonists. European Journal Of Heart Failure Expert Consensus Document, Luca Monzo, Gianluigi Savarese, Wilfried Mullens, Amr Abdin, Biykem Bozkurt, Ovidiu Chioncel, Seif El Hadidi, Thomas M Gorter, Riccardo M Inciardi, Mark C Petrie, Gabriele G Schiattarella, Davide Stolfo, Marco Metra, Nicolas Girerd

Faculty, Staff and Students Publications

There is growing clinical interest in strategies for improving clinical outcomes in patients with heart failure (HF) and obesity. The development of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and of the dual glucose-dependent insulinotropic polypeptide (GIP)/GLP-1 RA has expanded therapeutic options for this population. This expert consensus provides a comprehensive and pragmatic framework for the use of GLP-1 RAs and GIP/GLP-1 RA in patients with HF, focusing on clinical integration, patient selection, safety, and tolerability. We review the evidence supporting their use in patients with HF with preserved ejection fraction (HFpEF), where clinical trials have demonstrated meaningful reductions in body …

Moderators Of Antidepressant Augmentation Versus Switch In The Optimum Randomised Controlled Trial, Helena K Kim, Jordan F Karp, Helen Lavretsky, Daniel M Blumberger, Patrick J Brown, Alastair J Flint, Emily Lenard, J Philip Miller, Charles F Reynolds, Steven P Roose, Eric J Lenze, Benoit H Mulsant

2020-Current year OA Pubs

BACKGROUND: Older adults with treatment-resistant depression (TRD) benefit more from treatment augmentation than switching. It is useful to identify moderators that influence these treatment strategies for personalised medicine.

AIMS: Our objective was to test whether age, executive dysfunction, comorbid medical burden, comorbid anxiety or the number of previous adequate antidepressant trials could moderate the superiority of augmentation over switching. A significant moderator would influence the differential effect of augmentation versus switching on treatment outcomes.

METHOD: We performed a preplanned moderation analysis of data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) randomised controlled trial (

RESULTS: Of …

Coco-St Detects Global And Local Biological Structures In Spatial Transcriptomics Datasets, Muhammad Aminu, Bo Zhu, Natalie Vokes, Hong Chen, Lingzhi Hong, Jianrong Li, Junya Fujimoto, Mehdi Chaib, Yuqiu Yang, Bo Wang, Alissa Poteete, Monique B Nilsson, Xiuning Le, Tina Cascone, David Jaffray, Nicholas Navin, Tao Wang, Lauren A Byers, Don L Gibbons, John Heymach, Ken Chen, Chao Cheng, Jianjun Zhang, Jia Wu

Faculty, Staff and Students Publications

Spatial domain detection methods often focus on high-variance structures, such as tumour-adjacent regions with sharp gene expression changes, while missing low-variance structures with subtle gene expression shifts, like those between adjacent normal and early adenoma regions. Here, to address this, we introduce ‘compare and contrast spatial transcriptomics’ (CoCo-ST), a graph contrastive feature representation framework. By comparing a target sample with a background sample, CoCo-ST detects both high-variance, broadly shared structures and low-variance, tissue-specific features. It offers technical advantages, including multisample integration, batch-effect correction and scalability across technologies from spot-level Visium data to single-cell Xenium Prime 5K and subcellular Visium HD …

Perfluoroalkyl Substance Pollutants Disrupt Microglia Function And Trigger Transcriptional And Epigenomic Changes, Yating Cheng, Jian-Rong Li, Hangjin Yu, Shuang Li, Boranai Tychhon, Chao Cheng, Yi-Lan Weng

Faculty, Staff and Students Publications

Per- and polyfluoroalkyl substances (PFAS), commonly referred to as "forever chemicals", are widely utilized in various industries and consumer products worldwide. Their exposure has been associated with numerous diseases and malignancies, including neurodevelopmental and neurodegenerative disorders. However, the molecular mechanisms underlying PFAS-induced adverse effects on the central nervous system (CNS) remain poorly understood. In this study, we investigated the transcriptomic and epigenetic changes in microglia exposed to perfluorooctane sulfonate (PFOS), a prevalent PFAS compound. Our findings demonstrate that 24-hour PFOS exposure (25 and 50 µM) disrupts the microglial transcriptome and compromises their homeostatic state, marked by increased inflammation and impaired …