Genetic Phenomena Commons^™

Effectiveness And Acceptability Of Ventilation Modifications In Healthcare Facilities, Liberia 2022–2023, Ronan F Arthur, Ashley Styczynski, Krithika Srinivasan, Amos Tandanpolie, Philip Bemah, Jason R Andrews, Jorge L Salinas

Faculty, Staff and Student Publications

Objective: To evaluate the effectiveness and acceptability of ventilation interventions in naturally ventilated hospitals in Liberia.

Design: Difference-in-differences analysis of pre- and post-air changes per hour of intervention and control spaces.

Setting: Hospitals in Bong and Montserrado Counties, Liberia.

Participants: Seventy patient care spaces were evaluated at baseline. Six spaces underwent physical intervention modifications, while 2 spaces were assessed for indirect effects and 2 others used as controls. Healthcare workers were interviewed to assess ventilation knowledge and acceptability.

Interventions: Ventilation interventions included the installation of window screens, louvered doors and windows, and wind turbines.

Methods: We measured carbon dioxide levels …

Mechanical Regulation Of Macrophage Metabolism By Allograft Inflammatory Factor 1 Leads To Adverse Remodeling After Cardiac Injury, Matthew Deberge, Kristofor Glinton, Connor Lantz, Zhi-Dong Ge, David P Sullivan, Bo Ryung Lee, Adam Mullick, Steve Yeh, Shuling Han, Anja M Van Der Laan, Hans W M Niessen, Xunrong Luo, Nicholas E S Sibinga, Edward B Thorp

Faculty, Staff and Student Publications

Myocardial infarction (MI) mobilizes macrophages, the central protagonists of tissue repair in the infarcted heart. Although necessary for repair, macrophages also contribute to adverse remodeling and progression to heart failure. In this context, specific targeting of inflammatory macrophage activation may attenuate maladaptive responses and enhance cardiac repair. Allograft inflammatory factor 1 (AIF1) is a macrophage-specific protein expressed in a variety of inflammatory settings, but its function after MI is unknown. Here we identify a maladaptive role for macrophage AIF1 after MI in mice. Mechanistic studies show that AIF1 increases actin remodeling in macrophages to promote reactive oxygen species-dependent activation of …

A Novel Automated Ct Biomarker To Predict Outcomes In Acute Ischemic Stroke: Net Water Uptake, Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J Yoo, Sunil A Sheth

Faculty, Staff and Student Publications

Background: Recent trials of large core thrombectomy have shown that our traditional understanding of infarct characteristics and reperfusion benefit may be incomplete for patients with acute ischemic stroke (AIS). The Alberta Stroke Program Early CT Score (ASPECTS) has wide inter-rater variability, and modern studies have also shown that reperfusion therapies can benefit some patients regardless of the ASPECTS. Reproducible imaging metrics that account for the degree of hypo-attenuation on non-contrast computed tomography (NCCT) may be better suited to guide treatments. Here, we evaluate Net Water Uptake (NWU), a novel NCCT metric that can be calculated in a rapid and automated …

Keygan: Synthetic Keystroke Data Generation In The Context Of Digital Phenotyping, Alejandro Acien, Aythami Morales, Luca Giancardo, Ruben Vera-Rodriguez, Ashley A Holmes, Teresa Arroyo-Gallego

Faculty, Staff and Student Publications

Objective: This paper aims to introduce and assess KeyGAN, a generative modeling-based keystroke data synthesizer. The synthesizer is designed to generate realistic synthetic keystroke data capturing the nuances of fine motor control and cognitive processes that govern finger-keyboard kinematics, thereby paving the way to support biomarker development for psychomotor impairment due to neurodegeneration.

Methods: KeyGAN is designed with two primary objectives: (i) to ensure high realism in the synthetic distributions of the keystroke features and (ii) to analyze its ability to replicate the subtleties of natural typing for enhancing biomarker development. The quality of synthetic keystroke data produced by KeyGAN …

Inhibition Of Nitric Oxide Synthase Transforms Carotid Occlusion-Mediated Benign Oligemia Into De Novo Large Cerebral Infarction, Ha Kim, Jinyong Chung, Jeong Wook Kang, Dawid Schellingerhout, Soo Ji Lee, Inyeong Park, Dong-Seok Gwak, Ji Sung Lee, Sung-Ha Hong, Kang-Hoon Je, Hee-Joon Bae, Joohon Sung, Eng H Lo, James Faber, Cenk Ayata, Dong-Eog Kim

Faculty, Staff and Student Publications

No abstract provided.

Stat3 Inhibition In Combination With Cd47 Blockade Inhibits Osteosarcoma Lung Metastasis, Pradeep Shrestha, Rejeena Shrestha, You Zhou, Rafal Zielinski, Waldemar Priebe

Faculty, Staff and Student Publications

Background: New therapies are urgently needed for patients with osteosarcoma (OS). STAT3 and CD47 are potential therapeutic target in OS. Here we investigated the therapeutic activity of the orally bioavailable STAT3 inhibitor, WP1066, and anti-CD47 antibody using OS mouse models.

Methods: Cytotoxic effect of WP1066 against OS cell lines and its immunomodulatory effects were evaluated in vitro. Experimental metastasis and orthotopic syngeneic mouse models were used to investigate the therapeutic efficacy of WP1066 and anti-CD47 antibody. Further flow cytometric analysis was performed.

Results: STAT3 was constitutively activated in multiple human and mouse OS cell lines. WP1066 suppressed STAT3 activation …

Incidence Of Bacterial Blood Stream Infections In Patients With Acute Gvhd, Whitney Wallis, Alison M Gulbis, Tao Wang, Catherine J Lee, Akshay Sharma, Taiga Nishihori, Lohith Gowda, Michael Byrne, Maxwell M Krem, Margaret L Macmillan, Carrie L Kitko, Joseph Pidala, Stephen R Spellman, Stephanie J Lee, Amin M Alousi

Faculty, Staff and Student Publications

Bacterial bloodstream infections (BSI) can be a substantial contributor to complications of GVHD treatment. The aim of this study was to determine the risk for BSI from neutrophil engraftment through day 100 post transplant in patients with acute GVHD (AGVHD) based on organ involvement and severity. Patients (n = 4064) who underwent an allogeneic hematopoietic stem cell transplant (HCT) reported to the CIBMTR registry were analyzed. Grade II-IV AGVHD occurred in 1607 (39.5%) patients and was associated with a greater day-100 incidence of post engraftment BSI than with grade 0/I (24.9 vs. 15.3%). Patients with grade III/IV AGVHD had the …

Patient-Reported Outcomes During Pelvic Radiation Therapy: A Secondary Analysis On Sexual Function From Nrg-Rtog 1203, Kelsey L Corrigan, Rebecca Paulus, Ann H Klopp, Lari B Wenzel, Anamaria R Yeung, Desiree E Doncals, Nancy H Wiggers, Dasarahally S Mohan, Sharad A Ghamande, Shannon N Westin, Kara L Schnarr, Michael L Haas, David K Gaffney, Steven E Waggoner, Pamela J Vanderwall, Noha T Jastaniyah, Stephanie L Pugh, Lisa A Kachnic

Faculty, Staff and Student Publications

Purpose: NRG-RTOG 1203 reported that intensity-modulated radiation therapy (IMRT) reduced patient-reported GI toxicities in patients with cervical/endometrial cancer receiving postoperative RT, compared with 3-dimensional conformal radiation therapy (3DRT). We conducted a secondary analysis of patient-reported sexual function (PR-SF) among treatment groups to identify factors associated with sexual dysfunction.

Methods and materials: Patients on NRG-RTOG 1203 were randomly assigned to 3DRT versus IMRT and completed Patient-Reported Outcomes (PRO)-Common Terminology Criteria for Adverse Events (CTCAE) and FACT-Cx surveys at baseline, week 5 of RT, and at 4-6 weeks, 1 year, and 3 years after RT. Patient responses to FACT-Cx sexual function questions …

Ai/Ml-Empowered Approaches For Predicting T Cell-Mediated Immunity And Beyond, Cheng-Chi Chao, Yulun Chiu, Lucas Yeung, Cassian Yee, Chongming Jiang

Faculty, Staff and Student Publications

T cells play a dual role in various physiopathological states, capable of eliminating tumors and infected cells, while also playing a pathogenic role when activated by autoantigens, causing self-tissue damage. The regulation of T cell-peptide/major histocompatibility complex (TCR-pMHC) recognition is crucial for maintaining disease balance and treating cancer, infections, and autoimmune diseases. Despite efforts, predictive models of TCR-pMHC specificity are still in the early stages. Inspired by advances in protein structure prediction via deep neural networks, we evaluated AlphaFold 3 (AF3)-based AI computation as a method to predict TCR epitope specificity. We demonstrate that AlphaFold can model TCR-pMHC interactions, distinguishing …

A New, Early Cretaceous Carettochelyid Turtle From South Korea Provides Insights Into Softshell Evolution And Aquatic Ecology, Minguk Kim, Jongyun Jung, Walter G Joyce, Jae-Il Park, Hye-Yeon Jung, Min Huh

Faculty, Staff and Student Publications

Here, we present a new Cretaceous carettochelyid turtle, Byeoljubuchelys yeosuensis gen. et sp. nov., from the Lower Cretaceous Hasandong Formation of Yeosu, Korea. A nearly complete shell and select elements of the girdles and limbs provide crucial insight into the evolution and aquatic adaptation of this family. Phylogenetic analyses place Byeoljubuchelys yeosuensis at the most basal position within Carettochelyidae. The mid-sized plastron of Byeoljubuchelys yeosuensis appears to be plesiomorphic for the group. The expansion of the plastron during carettochelyid evolution, especially during the Paleogene, may be an evolutionary response to increasing body size or the threat of mammalian predators. …

Tnik-Driven Regulation Of Erk5 Transcriptional Activity In Endothelial Cells, Venkata Subrahmanya Kumar Samanthapudi, Sivareddy Kotla, Nhat-Tu Le

Faculty, Staff and Student Publications

Extracellular signal-regulated kinase 5 (ERK5) is essential for cardiovascular development and endothelial cell (EC) function. Activation of ERK5 through MEK5-mediated phosphorylation at threonine 218 and tyrosine 220 (T218/Y220) drives the transcriptional activation of myocyte enhancer factor-2 (MEF2), promoting the expression of KLF2 and KLF4—key transcription factors that maintain vascular homeostasis. We previously demonstrated that ponatinib suppresses ERK5 transcriptional activity without affecting laminar-flow (l-flow)-induced T218/Y220 phosphorylation, suggesting a non-canonical regulatory mechanism. Since ponatinib inhibits Traf2- and Nck-interacting kinase (TNIK), we hypothesized that TNIK modulates ERK5 transcriptional activity. Using a mammalian one-hybrid assay and quantitative RT-PCR (qRT-PCR), we show that TNIK …

Predicting Sinonasal Inverted Papilloma Attachment Using Machine Learning: Current Lessons And Future Directions, Sean P Mckee, Xiaomin Liang, William C Yao, Brady Anderson, Jumah G Ahmad, Salman Hasan, Chinmay Mokashi, Samia Islam, Amber U Luong, Martin J Citardi, Luca Giancardo

Faculty, Staff and Student Publications

Background: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on computed tomography (CT). Herein, we developed a machine learning (ML) model capable of analyzing CT images and identifying IP attachment sites.

Methods: A retrospective review of patients treated for IP at our institution was performed. The tumor attachment site was manually segmented on CT scans by the operating surgeon. We used a nnU-Net model, a state-of-the-art deep learning-based segmentation algorithm that automatically configures image preprocessing, network architecture, training, and post-processing to identify the IP attachment site. The model was trained and evaluated using a 5-fold cross …

Grape-Pi: Graph-Based Neural Networks For Enhanced Protein Identification In Proteomics Pipelines, Chunhui Gu, Seyyed Mahmood Ghasemi, Yining Cai, Johannes F Fahrmann, James P Long, Chong Wu, Jennifer B Dennison, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Motivation: Protein identification via mass spectrometry (MS) is the primary method for untargeted protein detection. However, the identification process is challenging due to data complexity and the need to control false discovery rates (FDR) of protein identification. To address these challenges, we developed a graph neural network (GNN)-based model, Graph Neural Network using Protein-Protein Interaction for Enhancing Protein Identification (Grape-Pi), which is applicable to all proteomics pipelines. This model leverages protein-protein interaction (PPI) data and employs two types of message-passing layers to integrate evidence from both the target protein and its interactors, thereby improving identification accuracy.

Results: Grape-Pi achieved significant …

Exploring The Role Of Reward Functioning In The Overlap Of Post-Traumatic Stress And Cocaine Use Disorder, Kate Hull, Hanaan Bing-Canar, Krista Miloslavich, Christopher Holden, Aneet Ahluwalia, Joy M Schmitz

Faculty, Staff and Student Publications

Background: Posttraumatic stress disorder (PTSD) symptoms are common in people with cocaine use disorder (CUD), and even sub-threshold PSTD symptoms result in worse treatment outcomes. Difficulties with reward functioning may drive this comorbidity. Impairments in reward functioning are prominent in both PTSD and CUD and contribute to development of substance use problems after trauma. There are three distinct reward processes that may be involved in the PTSD/CUD overlap: consummatory reward (ability to experience pleasure), motivational reward (willingness to exert effort for rewards), and reward learning (adapting behavior based on reward history). Here we test whether impairments in these reward functions …

A Biomechanical Study Of Neck Strength And Impact Dynamics On Head And Neck Injury Parameters, Rahid Zaman, Mohammad Ibrahim Hossain, Ahmed Zubayer Raiyan, Shuvo Chowdhury, Aaron Jackson, Ashfaq Adnan

Faculty, Staff and Student Publications

Introduction: Head and neck injuries, including traumatic brain injuries (TBI), are a leading cause of disability and death worldwide. It affects millions of people worldwide, from automobiles to sports to military personnel. This study investigates the influence of impact locations, severities, and neck strength on head and neck injury parameters using a musculoskeletal head-neck model in OpenSim software.

Methods: We hypothesize that eccentric impacts, particularly those on the anterolateral side, increase GAMBIT and Neck Injury Criteria (NIC) due to elevated rotational accelerations, and that higher neck strength mitigates GAMBIT and NIC under these impacts. To test our hypotheses, we investigated …

Prrx1 Has Functional Roles In Pancreatic Acinar To Ductal Metaplasia And Carcinogenesis, Noriyuki Nishiwaki, Kensuke Sugiura, Kensuke Suzuki, Alina L Li, Constanza Tapia Contreras, Alice E Shin, Jun Zhao, Anirban Maitra, Jason R Pitarresi, Peter A Sims, Rohit Chandwani, Anil K Rustgi

Faculty, Staff and Student Publications

No abstract provided.

Individualized Frequency And Montage Tacs To Engage Theta-Gamma Coupling And Enhance Working Memory In Mild Cognitive Impairment, Mina Mirjalili, Iryna S Palamarchuk, Heather Brooks, Reza Zomorrodi, Ashley Melichercik, Sean M Nestor, Abhishek Datta, Christopher Bowie, Bernadette Mdawar, Kullervo Hynynen, Sanjeev Kumar, Tarek K Rajji

Faculty, Staff and Student Publications

Mild Cognitive Impairment (MCI) is a clinical prodromal stage of Alzheimer's disease. Enhancing executive functions in patients with MCI could optimize cognitive compensatory mechanisms and slow cognitive decline. The prefrontal cortex (PFC) and its connections to the hippocampus support executive functions, including working memory. Transcranial alternating current stimulation (tACS) can modulate these connections by engaging theta-gamma coupling (TGC) and may thereby strengthen working memory. This study, "tACS to engage theta-gamma coupling and enhance working memory in MCI" (tACS-MCI), will assess the feasibility and cognitive effects of EEG and MRI-guided individualized tACS. The stimulation will target the prefrontal and temporal cortices …

Mmrt: Multimut Recursive Tree For Predicting Functional Effects Of High-Order Protein Variants From Low-Order Variants

Faculty, Staff and Student Publications

Protein sequences primarily determine their stability and functions. Mutations may occur at one, two, or three positions at the same time (low-order variants) or at multiple positions simultaneously (high-order variants), which affect protein functions. So far, low-order variants, such as single variants, double variants, and triple variants, have been well-studied through high-throughput experimental scanning techniques and computational prediction methods. However, research on high-order variants remains limited because of the difficulty of scanning an exponentially large number of potential variant combinations. Nonetheless, studying higher-order variants is crucial for understanding the pathogenesis of complex diseases, advancing protein engineering, and driving precision medicine. …

Integrative Multi-Omics Approach For Improving Causal Gene Identification, Austin King, Chong Wu

Faculty, Staff and Student Publications

Transcriptome-wide association studies (TWAS) have been widely used to identify thousands of likely causal genes for diseases and complex traits using predicted expression models. However, most existing TWAS methods rely on gene expression alone and overlook other regulatory mechanisms of gene expression, including DNA methylation and splicing, that contribute to the genetic basis of these complex traits and diseases. Here we introduce a multi-omics method that integrates gene expression, DNA methylation, and splicing data to improve the identification of associated genes with our traits of interest. Through simulations and by analyzing genome-wide association study (GWAS) summary statistics for 24 complex …

Predicting Kidney Graft Function And Failure Among Kidney Transplant Recipients, Yi Yao, Brad C Astor, Wei Yang, Tom Greene, Liang Li

Faculty, Staff and Student Publications

Background: Graft loss is a major health concern for kidney transplant (KTx) recipients. It is of clinical interest to develop a prognostic model for both graft function, quantified by estimated glomerular filtration rate (eGFR), and the risk of graft failure. Additionally, the model should be dynamic in the sense that it adapts to accumulating longitudinal information, including time-varying at-risk population, predictor-outcome association, and clinical history. Finally, the model should also properly account for the competing risk by death with a functioning graft. A model with the features above is not yet available in the literature and is the focus of …