Digital Commons Network^™

Small Molecule Inhibitor Of Tau Self-Association In A Mouse Model Of Tauopathy: A Preventive Study In P301l Tau Jnpl3 Mice, Eliot J Davidowitz, Patricia Lopez, Heidy Jimenez, Leslie Adrien, Peter Davies, James G Moe

Faculty, Staff and Student Publications

Advances in tau biology and the difficulties of amyloid-directed immunotherapeutics have heightened interest in tau as a target for small molecule drug discovery for neurodegenerative diseases. Here, we evaluated OLX-07010, a small molecule inhibitor of tau self-association, for the prevention of tau aggregation. The primary endpoint of the study was statistically significant reduction of insoluble tau aggregates in treated JNPL3 mice compared with Vehicle-control mice. Secondary endpoints were dose-dependent reduction of insoluble tau aggregates, reduction of phosphorylated tau, and reduction of soluble tau. This study was performed in JNPL3 mice, which are representative of inherited forms of 4-repeat tauopathies with …

Artificial Intelligence-Driven Meta-Analysis Of Brain Gene Expression Identifies Novel Gene Candidates And A Role For Mitochondria In Alzheimer’S Disease, Caitlin A Finney, Fabien Delerue, Wendy A Gold, David A Brown, Artur Shvetcov

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the most common form of dementia. There is no treatment and AD models have focused on a small subset of genes identified in familial AD. Microarray studies have identified thousands of dysregulated genes in the brains of patients with AD yet identifying the best gene candidates to both model and treat AD remains a challenge. We performed a meta-analysis of microarray data from the frontal cortex (n = 697) and cerebellum (n = 230) of AD patients and healthy controls. A two-stage artificial intelligence approach, with both unsupervised and supervised machine learning, combined with a functional …

A Unified Mediation Analysis Framework For Integrative Cancer Proteogenomics With Clinical Outcomes, Licai Huang, James P Long, Ehsan Irajizad, James D Doecke, Kim-Anh Do, Min Jin Ha

Faculty, Staff and Student Publications

MOTIVATION: Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify the intermediate mechanisms by which a gene affects an outcome. However, existing methods lack a unified approach to handle various types of outcome variables, making them unsuitable for high-throughput molecular profiling data with highly interconnected variables.

RESULTS: We develop a general mediation analysis framework for proteogenomic data that include multiple exposures, multivariate mediators on various scales of effects as appropriate for continuous, binary and survival outcomes. …

Sparse Tree-Based Clustering Of Microbiome Data To Characterize Microbiome Heterogeneity In Pancreatic Cancer, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson

Faculty, Staff and Student Publications

There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with similar microbiome profiles. We propose a novel unsupervised clustering approach in the Bayesian framework that innovates over existing model-based clustering approaches, such as the Dirichlet multinomial mixture model, in three key respects: we incorporate feature selection, learn the appropriate number of clusters from the data, and integrate information on the tree structure relating the observed features. We compare the performance of our proposed method to …

Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu

Faculty, Staff and Student Publications

In the original Figure 7E of our article, the authors mistakenly reused the GFAP immunostaining representative image of the Vehi+Sham group for the anti-CXCL12+Sham group. This is because an error occurred in converting the original purple fluorescence of GFAP for each group to red fluorescence during preparation of representative pictures of Figure 7E. Unfortunately, this error was not found in multiple revisions. The correct version of Figure 7E is shown below. The correction made in this Erratum does not affect the results and conclusions in this study. The authors apologize for any inconvenience the errors may have caused.

Late Effects Of Craniospinal Irradiation Using Electron Spinal Fields For Pediatric Patients With Cancer, Brian De, Marcus A Florez, Ethan B Ludmir, Moshe H Maor, Susan L Mcgovern, Mary Frances Mcaleer, David R Grosshans, Eric L Chang, Anita Mahajan, Arnold C Paulino

Faculty, Staff and Student Publications

Purpose: For children, craniospinal irradiation (CSI) with photons is associated with significant toxic effects. The use of electrons for spinal fields is hypothesized to spare anterior structures but the long-term effects remain uncertain. We studied late effects of CSI using electrons for spinal radiation therapy (RT).

Methods and materials: Records of 84 consecutive patients treated with CSI using electrons for the spine at a single institution between 1983 and 2014 were reviewed. Median age at RT was 5 (range, 1-14) years. The most common histologies were medulloblastoma/primitive neuroectodermal tumor (59%) and ependymoma (8%). The median prescribed dose to the entire …

Protective Role Of Colitis In Inflammatory Arthritis Via Propionate-Producing Bacteroides In The Gut, Hoh-Jeong Shon, Yu-Mi Kim, Kyeong Seog Kim, Jin-Ouk Choi, Sang-Hyun Cho, Sujin An, Se-Hyeon Park, Yong-Joon Cho, Joo-Hong Park, Sang-Uk Seo, Joo-Youn Cho, Wan-Uk Kim, Donghyun Kim

Faculty, Staff and Student Publications

OBJECTIVES: To investigate whether and how inflammatory disease in the intestine influences the development of arthritis, considering that organ-to-organ communication is associated with many physiological and pathological events.

METHODS: First, mice were given drinking water containing dextran sodium sulfate (DSS) and then subjected to inflammatory arthritis. We compared the phenotypic symptoms between the cohoused and separately-housed mice. Next, donor mice were divided into DSS-treated and untreated groups and then cohoused with recipient mice. Arthritis was then induced in the recipients. The fecal microbiome was analyzed by 16S rRNA amplicon sequencing. We obtained type strains of the candidate bacteria and generated …

Chronic Kidney Disease Prediction Using Boosting Techniques Based On Clinical Parameters, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of yearly deaths. Predicting the possibility of a person being affected by the disease will allow timely diagnosis and precautionary measures leading to preventive strategies for health. Machine learning techniques have been popularly applied in various disease diagnoses and predictions. Ensemble learning approaches have become useful for predicting many complex diseases. In this paper, we utilise the boosting method, one of the popular ensemble learnings, to achieve a higher prediction accuracy for CKD. Five boosting algorithms are employed: XGBoost, CatBoost, LightGBM, AdaBoost, and gradient boosting. We experimented …

Accurate Prediction Of Functional Effect Of Single Amino Acid Variants With Deep Learning, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

The assessment of functional effect of amino acid variants is a critical biological problem in proteomics for clinical medicine and protein engineering. Although natively occurring variants offer insights into deleterious variants, high-throughput deep mutational experiments enable comprehensive investigation of amino acid variants for a given protein. However, these mutational experiments are too expensive to dissect millions of variants on thousands of proteins. Thus, computational approaches have been proposed, but they heavily rely on hand-crafted evolutionary conservation, limiting their accuracy. Recent advancement in transformers provides a promising solution to precisely estimate the functional effects of protein variants on high-throughput experimental data. …

Optimal Ranking And Directional Signature Classification Using The Integral Strategy Of Multi-Objective Optimization-Based Association Rule Mining Of Multi-Omics Data, Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao

Faculty, Staff and Student Publications

No abstract provided.

3pnmf-Mkl: A Non-Negative Matrix Factorization-Based Multiple Kernel Learning Method For Multi-Modal Data Integration And Its Application To Gene Signature Detection\, Saurav Mallik, Anasua Sarkar, Sagnik Nath, Ujjwal Maulik, Supantha Das, Soumen Kumar Pati, Soumadip Ghosh, Zhongming Zhao

Faculty, Staff and Student Publications

In this current era, biomedical big data handling is a challenging task. Interestingly, the integration of multi-modal data, followed by significant feature mining (gene signature detection), becomes a daunting task. Remembering this, here, we proposed a novel framework, namely, three-factor penalized, non-negative matrix factorization-based multiple kernel learning with soft margin hinge loss (3PNMF-MKL) for multi-modal data integration, followed by gene signature detection. In brief, limma, employing the empirical Bayes statistics, was initially applied to each individual molecular profile, and the statistically significant features were extracted, which was followed by the three-factor penalized non-negative matrix factorization method used for data/matrix fusion …

Predictive Modeling Using Shape Statistics For Interpretable And Robust Quality Assurance Of Automated Contours In Radiation Treatment Planning, Zachary T Wooten, Cenji Yu, Laurence E Court, Christine B Peterson

Faculty, Staff and Student Publications

Deep learning methods for image segmentation and contouring are gaining prominence as an automated approach for delineating anatomical structures in medical images during radiation treatment planning. These contours are used to guide radiotherapy treatment planning, so it is important that contouring errors are flagged before they are used for planning. This creates a need for effective quality assurance methods to enable the clinical use of automated contours in radiotherapy. We propose a novel method for contour quality assurance that requires only shape features, making it independent of the platform used to obtain the images. Our method uses a random forest …

Grid Cells, Border Cells, And Discrete Complex Analysis, Yuri Dabaghian

Faculty, Staff and Student Publications

We propose a mechanism enabling the appearance of border cells-neurons firing at the boundaries of the navigated enclosures. The approach is based on the recent discovery of discrete complex analysis on a triangular lattice, which allows constructing discrete epitomes of complex-analytic functions and making use of their inherent ability to attain maximal values at the boundaries of generic lattice domains. As it turns out, certain elements of the discrete-complex framework readily appear in the oscillatory models of grid cells. We demonstrate that these models can extend further, producing cells that increase their activity toward the frontiers of the navigated environments. …

Pediatric Diarrhea Patients Living In Urban Areas Have A Higher Incidence Of Clostridioides Difficile Infection, Ayodele T Adesoji, Osaro Mgbere, Charles Darkoh

Faculty, Staff and Student Publications

Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and an unappreciated contributor to child mortality in low- and middle-income countries where the diagnosis may be difficult. There is little information about the prevalence of CDI among infants, children, and adolescents in Africa. Using a cross-sectional design, seventy-six samples were collected from pediatric patients presenting with diarrhea, including infants (≤ 2 years old), children (2-12 years), and adolescents (13 ≤17 years) from three hospitals between January and December 2019. Demographic data, medical history, and prior antibiotic use were recorded. Toxigenic culture and PCR were used to detect and …

Population-Based Assessment Of The Burden Of Covid-19 Infection In African Countries: A First-Year Report Card And Public Health Implications, Osaro Mgbere, Ogbonna Collins Nwabuko, Olajumoke A Olateju, Omolola E Adepoju, Winston Liaw, Charles Darkoh, Ekere James Essien

Faculty, Staff and Student Publications

BACKGROUND: The COVID-19 pandemic constitutes a global health threat and poses a major burden on the African continent. We assessed the real-world burden of COVID-19 infection in African Union (AU) member states to determine the distributional patterns of epidemiological measures during the first 1 year of the pandemic.

METHODS: This retrospective cross-sectional study utilized COVID-19 data from publicly available data repositories of the African Center for Disease Control and Prevention and

RESULTS: A total of 3.21 million cases were reported during the 1-year period, with 2.6 million recoveries, 536,784 cases remaining active, and 77,486 deaths. Most countries (49.1%,

CONCLUSION: Understanding …

Evolutionary Aspects Of Infections: Inflammation And Sickness Behaviors, Robert Dantzer

Faculty, Staff and Student Publications

Sickness behavior was conceptualized initially as the behavioral counterpart of the fever response to infectious pathogens. It helps to raise body temperature to its higher setpoint and to maintain it at this new level and it has the additional benefit of enabling a weakened organism to protect itself from other dangers. The discovery of the behavioral effects of proinflammatory cytokines produced by activated immune cells provided a cellular and molecular basis to this phenomenon. The administration of cytokines or cytokine inducers like lipopolysaccharide to healthy rodents allowed to reveal the similarities and differences between inflammation-induced sickness behavior and the fever …

Inhibition Of Nox2 Or Nlrp3 Inflammasome Prevents Cardiac Remote Ischemic Preconditioning, Sandra Benavides, Rodrigo Palavecino, Jaime A Riquelme, Luis Montecinos, José Pablo Finkelstein, Paulina Donoso, Gina Sánchez

Faculty, Staff and Student Publications

Introduction: Short episodes of ischemia-reperfusion (IR) in the heart (classical ischemic preconditioning, IPC) or in a limb (remote ischemic preconditioning, RIPC) before a prolonged ischemic episode, reduce the size of the infarct. It is unknown whether IPC and RIPC share common mechanisms of protection. Animals KO for NOX2, a superoxide-producing enzyme, or KO for NLRP3, a protein component of inflammasome, are not protected by IPC. The aim of this study was to investigate if NOX2 or NLRP3 inflammasome are involved in the protection induced by RIPC. Methods: We preconditioned rats using 4 × 5 min periods of IR in the …

Endothelial Activation Impairs The Function Of Small Extracellular Vesicles, Nicolas Herrera-Zelada, Úrsula Zúñiga-Cuevas, Andrés Ramírez-Reyes, Ignacio Norambuena-Soto, Leslye Venegas-Zamora, Mayarling F Troncoso, Alejandra Hernández, Gina Sánchez, Zully Pedrozo, Sergio Lavandero, Jaime A Riquelme

Faculty, Staff and Student Publications

Small extracellular vesicles are nanosized vesicles (30-200 nm) that can ferry proteins, nucleic acids, and lipids between cells and therefore, have significant potential as biomarkers, drug delivery tools or therapeutic agents. SEVs of endothelial origin have been shown to -among other functions-reduce in vitro ischemia/reperfusion (I/R) injury in cardiomyocytes, but whether a pro-inflammatory state of the endothelium impairs the functionality of these SEVs remains to be elucidated. To test this, human umbilical vein endothelial cells cells were treated with TNF-α 10 ng/mL and the expression of the pro-inflammatory parameters VCAM-1, ICAM-1 and eNOS were determined by Western blot. SEVs were …

Targeting Mcl-1 Protein To Treat Cancer: Opportunities And Challenges, Shady I Tantawy, Natalia Timofeeva, Aloke Sarkar, Varsha Gandhi

Faculty, Staff and Student Publications

Evading apoptosis has been linked to tumor development and chemoresistance. One mechanism for this evasion is the overexpression of prosurvival B-cell lymphoma-2 (BCL-2) family proteins, which gives cancer cells a survival advantage. Mcl-1, a member of the BCL-2 family, is among the most frequently amplified genes in cancer. Targeting myeloid cell leukemia-1 (MCL-1) protein is a successful strategy to induce apoptosis and overcome tumor resistance to chemotherapy and targeted therapy. Various strategies to inhibit the antiapoptotic activity of MCL-1 protein, including transcription, translation, and the degradation of MCL-1 protein, have been tested. Neutralizing MCL-1's function by targeting its interactions …

Turning The Page On Breast Cancer In Ohio: Lessons Learned From Implementing A Multilevel Intervention To Reduce Breast Cancer Mortality Among Black Women, Tasleem J. Padamsee, Daniel G. Stover, Willi L. Tarver, Chasity M. Washington, Ryan D. Baltic, Cecilia R. Degraffinreid, Clarissa R.B. Whiting, Ruvarashe Rumano, Clara N. Lee, Timiya Nolan, Bridget Oppong, Samilia Obeng‐Gyasi, Amanda E. Toland, Brittany Bernardo, Heather Hampel, Electra D. Paskett

Faculty Publications

No abstract provided.

Preparedness Behavior And The Apocalypse: Religion And Politics In The Post 2020 Election Era, Jason Adkins, Paul Djupe, Jacob R. Neiheisel

Faculty Publications

No abstract provided.

An Analysis Of Protesting Activity And Trauma Through Mathematical And Statistical Models, Nancy Rodríguez, David White

Faculty Publications

No abstract provided.

College Transition Fall 2020 And 2021: Understanding The Relationship Of Covid-19 Experiences And Psychosocial Correlates With Anxiety And Depression, Andrea Lourie, Susan Kennedy, Erin J. Henshaw, Drexler James

Faculty Publications

Rates of mental health symptoms, particularly anxiety and depression, have increased significantly in college students in the past decade along with utilization of mental health resources. The COVID-19 pandemic created an additional source of stressors to an already challenging landscape of college transition. COVID-19 has been associated with an increase of anxiety among college students, particularly first year students, entering college in Fall 2020. The shifts in policy (e.g., federal, state, and college) accruing medical data, and vaccine availability between Fall 2020 and Fall 2021 provide an opportunity to examine the role of COVID-19 experiences in the transition to college …

Historical Records: Reissuing As Curatorial Practice In Harry Smith's Anthology Of American Folk Music, Dan Blim

Faculty Publications

No abstract provided.

Black Women's Relational Competencies And Ethical Leadership In The Workplace, S. Alease Ferguson, Toni C. King

Faculty Publications

Three qualitative case vignettes illustrate Black women leaders’ application of relational competencies to assert culturally informed ethical values in organizational life. Theoretical frameworks of Patricia Hill Collins’ (1994) theory of motherwork and Wilfred Bion’s (1991) psycho-dynamics theory of group development guide the analysis of Black women’s relational competencies. Methodologically, the data derive from the authors’ use of phenomenological review of over three decades of corporate and non-profit consultancies. This methodology entailed uncensored story genera- tion relative to the topic and culling of the story set guided by a rubric to screen for story features that exemplify group and relational competencies …

Survival In Common Snapping Turtles, Chelydra Serpentina (Testudines: Chelydridae), In Western Nebraska, John B. Iverson, Geoffrey R. Smith

Faculty Publications

Annual estimates of survival for Common Snapping Turtles (Chelydra serpentina) in western Nebraska USA were generated from mark-recapture data from nesting females encountered in 2005–2017. Our population models suggested no annual variation in either adult annual survival (0.947 ± 0.017 SE) or annual capture probability (0.294 ± 0.027 SE). However, there was a tendency toward higher survival in larger females. High annual survival (e.g. > 90%) characterises populations of Chelydra from Ontario to Texas.

Realms Unseen: Albinism And Epistemic Decoloniality In Tanzania, Jane L. Saffitz

Faculty Publications

No abstract provided.

Mundane Desires, Aileen Schretzmayer

Student Scholarship

No abstract provided.

The Language Of Riot: Examining The Legibility Of Unrest, Peter L. Macchiarulo

Student Scholarship

No abstract provided.

The Body: Human Remains And Gender Relationships Throughout Medieval Ireland, Danielle Norris

Student Scholarship

No abstract provided.