Medicine and Health Sciences Commons^™

Visual Analysis Of Bone Malignancies Immunotherapy: A Bibliometric Analysis From 2010 To 2023, Kaiyu Shen, Liu Yang, Shuaiyi Ke, Wencang Gao

Faculty, Staff and Student Publications

Background: Bone malignancies (BM), including osteosarcoma, Ewing's sarcoma, chondrosarcoma, and chordoma, are characterized by high rates of recurrence and mortality, despite the availability of diverse treatment approaches. Immunotherapy has gained increasing importance in cancer treatment. However, there is a lack of comprehensive studies that utilize bibliometric analysis to explore immunotherapy for BM.

Methods: A literature search of English studies on BM and immunotherapy from 2010 to 2023 was conducted in the Web of Science Core Collection database. Bibliometric analysis tools such as VOSviewer, CiteSpace, and R Studio were utilized to examine global trends and research hotspots in this field.

Results: …

Pre-Covid-19 Hospital Quality And Hospital Response To Covid-19: Examining Associations Between Risk-Adjusted Mortality For Patients Hospitalised With Covid-19 And Pre-Covid-19 Hospital Quality, Doris Peter, Shu-Xia Li, Yongfei Wang, Jing Zhang, Jacqueline Grady, Kerry Mcdowell, Erica Norton, Zhenqiu Lin, Susannah Bernheim, Arjun K Venkatesh, Lee A Fleisher, Michelle Schreiber, Lisa G Suter, Elizabeth W Triche

Faculty, Staff and Student Publications

OBJECTIVES: The extent to which care quality influenced outcomes for patients hospitalised with COVID-19 is unknown. Our objective was to determine if prepandemic hospital quality is associated with mortality among Medicare patients hospitalised with COVID-19.

DESIGN: This is a retrospective observational study. We calculated hospital-level risk-standardised in-hospital and 30-day mortality rates (risk-standardised mortality rates, RSMRs) for patients hospitalised with COVID-19, and correlation coefficients between RSMRs and pre-COVID-19 hospital quality, overall and stratified by hospital characteristics.

SETTING: Short-term acute care hospitals and critical access hospitals in the USA.

PARTICIPANTS: Hospitalised Medicare beneficiaries (Fee-For-Service and Medicare Advantage) age 65 and older hospitalised …

Ndrgs In Breast Cancer: A Review And In Silico Analysis, Emilly S Villodre, Anh P N Nguyen, Bisrat G Debeb

Faculty, Staff and Student Publications

Simple Summary

Breast cancer is the most common cancer in women and one of the deadliest. While survival rates for patients with breast cancer have seen notable improvements in recent decades, current treatment strategies still face significant limitations, especially for patients with aggressive, therapy-resistant, and metastatic breast cancers. For this reason, it is important to identify new targets in order to develop more effective therapeutic strategies. The N-myc downstream regulated gene family (NDRGs), comprising NDRG1, NDRG2, NDRG3, and NDRG4, has been previously described as tumor suppressors. However, recent findings challenge this perception, particularly for NDRG1, …

Regional Analysis To Delineate Intrasample Heterogeneity With Regionalst, Yue Lyu, Chong Wu, Wei Sun, Ziyi Li

Faculty, Staff and Student Publications

MOTIVATION: Spatial transcriptomics has greatly contributed to our understanding of spatial and intra-sample heterogeneity, which could be crucial for deciphering the molecular basis of human diseases. Intra-tumor heterogeneity, e.g. may be associated with cancer treatment responses. However, the lack of computational tools for exploiting cross-regional information and the limited spatial resolution of current technologies present major obstacles to elucidating tissue heterogeneity.

RESULTS: To address these challenges, we introduce RegionalST, an efficient computational method that enables users to quantify cell type mixture and interactions, identify sub-regions of interest, and perform cross-region cell type-specific differential analysis for the first time. Our simulations …

Cancer Biomarkers: Emerging Trends And Clinical Implications For Personalized Treatment, Antonio Passaro, Maise Al Bakir, Emily G Hamilton, Maximilian Diehn, Fabrice André, Sinchita Roy-Chowdhuri, Giannis Mountzios, Ignacio I Wistuba, Charles Swanton, Solange Peters

Faculty, Staff and Student Publications

The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, …

Sans-Cnn: An Automated Machine Learning Technique For Spaceflight Associated Neuro-Ocular Syndrome With Astronaut Imaging Data, Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Nasif Zaman, Ethan Waisberg, Phani Paladugu, Andrew G Lee, Alireza Tavakkoli

Faculty, Staff and Student Publications

Spaceflight associated neuro-ocular syndrome (SANS) is one of the largest physiologic barriers to spaceflight and requires evaluation and mitigation for future planetary missions. As the spaceflight environment is a clinically limited environment, the purpose of this research is to provide automated, early detection and prognosis of SANS with a machine learning model trained and validated on astronaut SANS optical coherence tomography (OCT) images. In this study, we present a lightweight convolutional neural network (CNN) incorporating an EfficientNet encoder for detecting SANS from OCT images titled "SANS-CNN." We used 6303 OCT B-scan images for training/validation (80%/20% split) and 945 for testing …

Gpr56 In Gvl: Marker Or Mechanism?, Audra N Iness, Pavan Bachireddy

Faculty, Staff and Student Publications

No abstract provided.

Embracing Cancer Complexity: Hallmarks Of Systemic Disease, Charles Swanton, Elsa Bernard, Chris Abbosh, Fabrice André, Johan Auwerx, Allan Balmain, Dafna Bar-Sagi, René Bernards, Susan Bullman, James Degregori, Catherine Elliott, Ayelet Erez, Gerard Evan, Mark A Febbraio, Andrés Hidalgo, Mariam Jamal-Hanjani, Johanna A Joyce, Matthew Kaiser, Katja Lamia, Jason W Locasale, Sherene Loi, Ilaria Malanchi, Miriam Merad, Kathryn Musgrave, Ketan J Patel, Sergio Quezada, Jennifer A Wargo, Ashani Weeraratna, Eileen White, Frank Winkler, John N Wood, Karen H Vousden, Douglas Hanahan

Faculty, Staff and Student Publications

The last 50 years have witnessed extraordinary developments in understanding mechanisms of carcinogenesis, synthesized as the hallmarks of cancer. Despite this logical framework, our understanding of the molecular basis of systemic manifestations and the underlying causes of cancer-related death remains incomplete. Looking forward, elucidating how tumors interact with distant organs and how multifaceted environmental and physiological parameters impinge on tumors and their hosts will be crucial for advances in preventing and more effectively treating human cancers. In this perspective, we discuss complexities of cancer as a systemic disease, including tumor initiation and promotion, tumor micro- and immune macro-environments, aging, metabolism …

High-Density Glass Scintillators For Proton Radiography-Relative Luminosity, Proton Response, And Spatial Resolution, Ethan Stolen, Ryan Fullarton, Rain Hein, Robin L Conner, Luiz G Jacobsohn, Charles-Antoine Collins-Fekete, Sam Beddar, Ugur Akgun, Daniel Robertson

Faculty, Staff and Student Publications

Proton radiography is a promising development in proton therapy, and researchers are currently exploring optimal detector materials to construct proton radiography detector arrays. High-density glass scintillators may improve integrating-mode proton radiography detectors by increasing spatial resolution and decreasing detector thickness. We evaluated several new scintillators, activated with europium or terbium, with proton response measurements and Monte Carlo simulations, characterizing relative luminosity, ionization quenching, and proton radiograph spatial resolution. We applied a correction based on Birks's analytical model for ionization quenching. The data demonstrate increased relative luminosity with increased activation element concentration, and higher relative luminosity for samples activated with europium. …

Raf Inhibitor Re-Challenge Therapy In Braf-Aberrant Pan-Cancers: The Re-Raffle Study, Blessie Elizabeth Nelson, Jason Roszik, Jibran Ahmed, Carmelia Maria Noia Barretto, Mirella Nardo, Erick Campbell, Amber M Johnson, Sarina A Piha-Paul, Isabella C Glitza Oliva, Shiao-Pei Weathers, Maria Cabanillas, Milind Javle, Funda Meric-Bernstam, Vivek Subbiah

Faculty, Staff and Student Publications

Previous studies have shown the clinical benefit of rechallenging the RAF pathway in melanoma patients previously treated with BRAF inhibitors. 44 patients with multiple tumors harboring RAF alterations were rechallenged with a second RAF inhibitor, either as monotherapy or in combination with other therapies, after prior therapy with a first RAF inhibitor. This retrospective observational study results showed that rechallenging with RAFi(s) led to an overall response rate of 18.1% [PR in thyroid (1 anaplastic; 3 papillary), 1 ovarian, 2 melanoma, 1 cholangiocarcinoma, and 1 anaplastic astrocytoma]. The clinical benefit rate was 54.5%; more than 30% of patients had durable …

Correction: The Novel Phosphatase Nudt5 Is A Critical Regulator Of Triple-Negative Breast Cancer Growth, Jing Qian, Yanxia Ma, William M Tahaney, Cassandra L Moyer, Amanda Lanier, Jamal Hill, Darian Coleman, Negar Koupaei, Susan G Hilsenbeck, Michelle I Savage, Brent D G Page, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

No abstract provided.

Author Correction: Cytoskeleton Remodeling Induced By Smyd2 Methyltransferase Drives Breast Cancer Metastasis, Alexandre G Casanova, Gael S Roth, Simone Hausmann, Xiaoyin Lu, Ludivine J M Bischoff, Emilie M Froeliger, Lucid Belmudes, Ekaterina Bourova-Flin, Natasha M Flores, Ana Morales Benitez, Tourkian Chasan, Marcello Caporicci, Jessica Vayr, Sandrine Blanchet, Francesco Ielasi, Sophie Rousseaux, Pierre Hainaut, Or Gozani, Muriel Le Romancer, Yohann Couté, Andres Palencia, Pawel K Mazur, Nicolas Reynoird

Faculty, Staff and Student Publications

No abstract provided.

Integration Of Kupffer Cells Into Human Ipsc-Derived Liver Organoids For Modeling Liver Dysfunction In Sepsis, Yang Li, Yunzhong Nie, Xia Yang, Yang Liu, Xiaoshan Deng, Yoshihito Hayashi, Riana Plummer, Qinglin Li, Na Luo, Toshiharu Kasai, Takashi Okumura, Yu Kamishibahara, Takemasa Komoto, Takuya Ohkuma, Satoshi Okamoto, Yumiko Isobe, Kiyoshi Yamaguchi, Yoichi Furukawa, Hideki Taniguchi

Faculty, Staff and Student Publications

Maximizing the potential of human liver organoids (LOs) for modeling human septic liver requires the integration of innate immune cells, particularly resident macrophage Kupffer cells. In this study, we present a strategy to generate LOs containing Kupffer cells (KuLOs) by recapitulating fetal liver hematopoiesis using human induced pluripotent stem cell (hiPSC)-derived erythro-myeloid progenitors (EMPs), the origin of tissue-resident macrophages, and hiPSC-derived LOs. Remarkably, LOs actively promote EMP hematopoiesis toward myeloid and erythroid lineages. Moreover, supplementing with macrophage colony-stimulating factor (M-CSF) proves crucial in sustaining the hematopoietic population during the establishment of KuLOs. Exposing KuLOs to sepsis-like endotoxins leads to significant …

A Novel Machine Learning Algorithm Selects Proteome Signature To Specifically Identify Cancer Exosomes, Bingrui Li, Fernanda G Kugeratski, Raghu Kalluri

Faculty, Staff and Student Publications

Non-invasive early cancer diagnosis remains challenging due to the low sensitivity and specificity of current diagnostic approaches. Exosomes are membrane-bound nanovesicles secreted by all cells that contain DNA, RNA, and proteins that are representative of the parent cells. This property, along with the abundance of exosomes in biological fluids makes them compelling candidates as biomarkers. However, a rapid and flexible exosome-based diagnostic method to distinguish human cancers across cancer types in diverse biological fluids is yet to be defined. Here, we describe a novel machine learning-based computational method to distinguish cancers using a panel of proteins associated with exosomes. Employing …

The Genomic And Evolutionary Landscapes Of Anaplastic Thyroid Carcinoma, Peter Y F Zeng, Stephenie D Prokopec, Stephen Y Lai, Nicole Pinto, Michelle A Chan-Seng-Yue, Roderick Clifton-Bligh, Michelle D Williams, Christopher J Howlett, Paul Plantinga, Matthew J Cecchini, Alfred K Lam, Iram Siddiqui, Jianxin Wang, Ren X Sun, John D Watson, Reju Korah, Tobias Carling, Nishant Agrawal, Nicole Cipriani, Douglas Ball, Barry Nelkin, Lisa M Rooper, Justin A Bishop, Cathie Garnis, Ken Berean, Norman G Nicolson, Paul Weinberger, Ying C Henderson, Christopher M Lalansingh, Mao Tian, Takafumi N Yamaguchi, Julie Livingstone, Adriana Salcedo, Krupal Patel, Frederick Vizeacoumar, Alessandro Datti, Liu Xi, Yuri E Nikiforov, Robert Smallridge, John A Copland, Laura A Marlow, Martin D Hyrcza, Leigh Delbridge, Stan Sidhu, Mark Sywak, Bruce Robinson, Kevin Fung, Farhad Ghasemi, Keith Kwan, S Danielle Macneil, Adrian Mendez, David A Palma, Mohammed I Khan, Mushfiq Shaikh, Kara M Ruicci, Bret Wehrli, Eric Winquist, John Yoo, Joe S Mymryk, James W Rocco, David Wheeler, Steve Scherer, Thomas J Giordano, John W Barrett, William C Faquin, Anthony J Gill, Gary Clayman, Paul C Boutros, Anthony C Nichols

Faculty, Staff and Student Publications

Anaplastic thyroid carcinoma is arguably the most lethal human malignancy. It often co-occurs with differentiated thyroid cancers, yet the molecular origins of its aggressivity are unknown. We sequenced tumor DNA from 329 regions of thyroid cancer, including 213 from patients with primary anaplastic thyroid carcinomas. We also whole genome sequenced 9 patients using multi-region sequencing of both differentiated and anaplastic thyroid cancer components. Using these data, we demonstrate thatanaplastic thyroid carcinomas have a higher burden of mutations than other thyroid cancers, with distinct mutational signatures and molecular subtypes. Further, different cancer driver genes are mutated in anaplastic and differentiated thyroid …

Identification Of Nonfunctional Alternatively Spliced Isoforms Of Sting In Human Acute Myeloid Leukemia, Akash R Boda, Arthur J Liu, Susana Castro-Pando, Benjamin T Whitfield, Jeffrey J Molldrem, Gheath Al-Atrash, Maria Emilia Di Francesco, Philip Jones, Casey R Ager, Michael A Curran

Faculty, Staff and Student Publications

UNLABELLED: Lack of robust activation of Stimulator of Interferon Genes (STING) pathway and subsequent induction of type I IFN responses is considered a barrier to antitumor immunity in acute myeloid leukemia (AML). Using common human AML cell lines as in vitro tools to evaluate the efficacy of novel STING agonists, we found most AML lines to be poor producers of IFNs upon exposure to extremely potent agonists, suggesting cell-intrinsic suppression of STING signaling may occur. We observed unexpected patterns of response that did not correlate with levels of STING pathway components or of known enzymes associated with resistance. To identify …

Extend The Benchmarking Indel Set By Manual Review Using The Individual Cell Line Sequencing Data From The Sequencing Quality Control 2 (Seqc2) Project, Binsheng Gong, Dan Li, Yifan Zhang, Rebecca Kusko, Samir Lababidi, Zehui Cao, Mingyang Chen, Ning Chen, Qiaochu Chen, Qingwang Chen, Jiacheng Dai, Qiang Gan, Yuechen Gao, Mingkun Guo, Gunjan Hariani, Yujie He, Wanwan Hou, He Jiang, Garima Kushwaha, Jian-Liang Li, Jianying Li, Yulan Li, Liang-Chun Liu, Ruimei Liu, Shiming Liu, Edwin Meriaux, Mengqing Mo, Mathew Moore, Tyler J Moss, Quanne Niu, Ananddeep Patel, Luyao Ren, Nedda F Saremi, Erfei Shang, Jun Shang, Ping Song, Siqi Sun, Brent J Urban, Danke Wang, Shangzi Wang, Zhining Wen, Xiangyi Xiong, Jingcheng Yang, Lihui Yin, Chao Zhang, Ruolan Zhang, Ambica Bhandari, Wanshi Cai, Agda Karina Eterovic, Dalila B Megherbi, Tieliu Shi, Chen Suo, Ying Yu, Yuanting Zheng, Natalia Novoradovskaya, Renee L Sears, Leming Shi, Wendell Jones, Weida Tong, Joshua Xu

Faculty, Staff and Student Publications

Accurate indel calling plays an important role in precision medicine. A benchmarking indel set is essential for thoroughly evaluating the indel calling performance of bioinformatics pipelines. A reference sample with a set of known-positive variants was developed in the FDA-led Sequencing Quality Control Phase 2 (SEQC2) project, but the known indels in the known-positive set were limited. This project sought to provide an enriched set of known indels that would be more translationally relevant by focusing on additional cancer related regions. A thorough manual review process completed by 42 reviewers, two advisors, and a judging panel of three researchers significantly …

In Silico Analysis Of C-Type Lectins As Co-Infection Receptors Of Dengue And Chikungunya Viruses In Aedes Aegypti, Munawir Sazali, R. C. Hidayat Soesilohadi, Nastiti Wijayanti, Tri Wibawa, Arif Nur Muhammad Ansori

Makara Journal of Science

Aedes aegypti is a primer vector of dengue virus (DENV) and chikungunya virus (CHIKV). The susceptibility of mosquitoes to DENV and CHIKV depends on their recognition receptor of pathogens. C-type lectins (CTLs) are an important mediator of virus infection in A. aegypti. This study aims to identify potential receptors and determine the binding affinity between ligand–receptor interaction, CTLs and virus envelopes (DENV-1, 2, 3, and 4 and CHIKV) interaction based on in silico analysis. Sample sequences were obtained from GenBank (NCBI), and 10 CTLs were acquired from VectorBase. Homology modeling based on a minimum standard of 20% was processed …

Update On The Role Of Muc13 In Pancreatic Cancer: A Promising Early Detection Biomarker, Anupam Dhasmana, Swati Dhasmana, Sheema Khan, Meena Jaggi, Murali M. Yallapu, Subhash C. Chauhan

Research Symposium

Background: With the rise in pancreatic cancer (PanCa) prevalence and mortality rate, by 2030 it will secure second position among leading causes of cancer-related deaths. Due to poor prognosis of PanCa only 11% of PanCa patients have a 5-year survival rate, resulting in an equal mortality rate and incidence rate. 85% of PanCa are Pancreatic ductal adenocarcinoma (PDAC). The main clinical challenge with PanCa is poor treatment outcomes due the late diagnosis. Currently, there are traditional biomarkers panels available for diagnosis, however, these biomarkers do not have optimal sensitivity and specificity for PanCa. Considering this alarming unmet clinic need, our …

Proteomic Analysis Of Stress Associated Factor Overexpression In Hepatocellular Carcinoma, Mohammad Shabir Hussain, Sophia Leslie, Amayrani Sanchez, Samantha Lopez, Kyle Doxtater, Manish Kumar Tripathi

Research Symposium

Background: Hepatocellular carcinoma (HCC) constitutes a substantial portion, accounting for 85% to 90% of liver cancers worldwide. Notably, within the Hispanic population, liver cancer mortality rates are notably higher, particularly evident in regions like the South Texas Rio Grande Valley (RGV), where nearly 90% of the populace is Latino/Hispanic. This region grapples with poverty affecting nearly 30% of its residents, coupled with elevated rates of obesity, diabetes, and low-income households, thereby fostering a prevalent environment of stress. Stress can profoundly impact cancer outcomes by compromising immune functionality and triggering inflammatory responses, potentially impairing surveillance against oncogenic triggers. The activation of …

Digital Twins For Health: A Scoping Review, Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela Jackson, Ying Xiao, Tanveer Syeda-Mahmood, Richard Tuli, Jun Deng

Faculty, Staff and Student Publications

The use of digital twins (DTs) has proliferated across various fields and industries, with a recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds great promise to revolutionize the entire healthcare system, including management and delivery, disease treatment and prevention, and health well-being maintenance, ultimately improving human life. The rapid growth of big data and continuous advancement in data science (DS) and artificial intelligence (AI) have the potential to significantly expedite DT research and development by providing scientific expertise, essential data, and robust cybertechnology infrastructure. Although various DT initiatives have been underway in the …

Tumor Treating Fields Suppress Tumor Cell Growth And Neurologic Decline In Models Of Spinal Metastases, Daniel Ledbetter, Romulo Augusto Andrade De Almeida, Xizi Wu, Ariel Naveh, Chirag B Patel, Queena Gonzalez, Thomas H Beckham, Robert North, Laurence Rhines, Jing Li, Amol Ghia, David Aten, Claudio Tatsui, Christopher Alvarez-Breckenridge

Faculty, Staff and Student Publications

Spinal metastases can result in severe neurologic compromise and decreased overall survival. Despite treatment advances, local disease progression is frequent, highlighting the need for novel therapies. Tumor treating fields (TTFields) impair tumor cell replication and are influenced by properties of surrounding tissue. We hypothesized that bone's dielectric properties will enhance TTFields-mediated suppression of tumor growth in spinal metastasis models. Computational modeling of TTFields intensity was performed following surgical resection of a spinal metastasis and demonstrated enhanced TTFields intensity within the resected vertebral body. Additionally, luciferase-tagged human KRIB osteosarcoma and A549 lung adenocarcinoma cell lines were cultured in demineralized bone grafts …

Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Correction: Detecting The Percent Of Peripheral Blood Mononuclear Cells Displaying P-Stat-3 In Malignant Glioma Patients, William Humphries, Yongtao Wang, Wei Qiao, Chantal Reina-Ortiz, Mohamed K Abou-Ghazal, Lamonne M Crutcher, Jun Wei, Ling-Yuan Kong, Raymond Sawaya, Ganesh Rao, Jeffrey Weinberg, Sujit S Prabhu, Gregory N Fuller, Amy B Heimberger

Faculty, Staff and Student Publications

No abstract provided.

Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Understanding Heterogeneity In Individual Responses To Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories In Adults With Overweight Or Obesity: Secondary Analysis Of A 6-Month Randomized Controlled Trial, Shiyu Li, Yan Du, Hongyu Miao, Kumar Sharma, Chengdong Li, Zenong Yin, Bradley Brimhall, Jing Wang

Faculty, Staff and Student Publications

Background: Achieving clinically significant weight loss through lifestyle interventions for obesity management is challenging for most individuals. Improving intervention effectiveness involves early identification of intervention nonresponders and providing them with timely, tailored interventions. Early and frequent self-monitoring (SM) adherence predicts later weight loss success, making it a potential indicator for identifying nonresponders in the initial phase.

Objective: This study aims to identify clinically meaningful participant subgroups based on longitudinal adherence to SM of diet, activity, and weight over 6 months as well as psychological predictors of participant subgroups from a self-determination theory (SDT) perspective.

Methods: This was a secondary data …

Prediabetes And Associated Risk Of Cardiovascular Events And Chronic Kidney Disease Among Adult Survivors Of Childhood Cancer In The St Jude Lifetime Cohort, Stephanie B Dixon, Fang Wang, Lu Lu, Carmen L Wilson, Daniel M Green, Thomas E Merchant, Deo Kumar Srivastava, Angela Delaney, Rebecca M Howell, John L Jefferies, Leslie L Robison, Kirsten K Ness, Melissa M Hudson, Wassim Chemaitilly, Gregory T Armstrong

Faculty, Staff and Student Publications

Purpose: Little is known about the prevalence of prediabetes and associated risk of cardiovascular events and chronic kidney disease (CKD) with this reversable condition in survivors.

Methods: Prevalence of prediabetes (fasting plasma glucose 100-125 mg/dL or hemoglobin A1c 5.7%-6.4%) and diabetes was clinically assessed in 3,529 adults ≥5 years from childhood cancer diagnosis and 448 controls stratified by age. Cox proportional hazards regression estimated progression from prediabetes to diabetes, and risk of future cardiac events, stroke, CKD, and death.

Results: Among survivors, median age 30 years (IQR, 18-65), and the prevalence of prediabetes was 29.2% (95% CI, 27.7 to 30.7) …

Epigenetic Modulators Link Mitochondrial Redox Homeostasis To Cardiac Function In A Sex-Dependent Manner, Zaher Elbeck, Mohammad Bakhtiar Hossain, Humam Siga, Nikolay Oskolkov, Fredrik Karlsson, Julia Lindgren, Anna Walentinsson, Dominique Koppenhöfer, Rebecca Jarvis, Roland Bürli, Tanguy Jamier, Elske Franssen, Mike Firth, Andrea Degasperi, Claus Bendtsen, Robert I Menzies, Katrin Streckfuss-Bömeke, Michael Kohlhaas, Alexander G Nickel, Lars H Lund, Christoph Maack, Ákos Végvári, Christer Betsholtz

Faculty, Staff and Student Publications

While excessive production of reactive oxygen species (ROS) is a characteristic hallmark of numerous diseases, clinical approaches that ameliorate oxidative stress have been unsuccessful. Here, utilizing multi-omics, we demonstrate that in cardiomyocytes, mitochondrial isocitrate dehydrogenase (IDH2) constitutes a major antioxidative defense mechanism. Paradoxically reduced expression of IDH2 associated with ventricular eccentric hypertrophy is counterbalanced by an increase in the enzyme activity. We unveil redox-dependent sex dimorphism, and extensive mutual regulation of the antioxidative activities of IDH2 and NRF2 by a feedforward network that involves 2-oxoglutarate and L-2-hydroxyglutarate and mediated in part through unconventional hydroxy-methylation of cytosine residues present in introns. …

Summit-Fa: A New Resource For Improved Transcriptome Imputation Using Functional Annotations, Hunter J Melton, Zichen Zhang, Chong Wu

Faculty, Staff and Student Publications

Transcriptome-wide association studies (TWAS) integrate gene expression prediction models and genome-wide association studies (GWAS) to identify gene-trait associations. The power of TWAS is determined by the sample size of GWAS and the accuracy of the expression prediction model. Here, we present a new method, the Summary-level Unified Method for Modeling Integrated Transcriptome using Functional Annotations (SUMMIT-FA), which improves gene expression prediction accuracy by leveraging functional annotation resources and a large expression quantitative trait loci (eQTL) summary-level dataset. We build gene expression prediction models in whole blood using SUMMIT-FA with the comprehensive functional database MACIE and eQTL summary-level data from the …

Exploring Neuroplasticity Changes In Neurotoxin-Induced Parkinson’S Disease: A Preliminary Analysis Using Transcranial Magnetic Stimulation, Tomas Gomez Jr., Daniel Salinas, Kelsey Potter-Baker, Nawaz Hack, Ramu Vadukapuram

Research Symposium

Background: Parkinson’s disease (PD) is a neurodegenerative condition that affects movement, cognition, gait, and significantly impacts one's quality of life. Studies have suggested that neurotoxin pre-exposure is related to PD pathology and progressive motor/non-motor deficits, though it remains unclear how neurotoxin exposure affects neuroplasticity. The present study aimed to examine neurotoxin–induced PD-associated neuroplasticity changes in relationship to mental acuity and PD motor functionalities.

Methods: 7 voluntary participants experiencing early-stage PD symptoms with self-reported neurotoxin pre-exposure were enrolled in the longitudinal, repeated-measures clinical study; 2 sex-matched, age-matched, and occupation-matched healthy subjects were recruited for controlled comparative analysis (n=9). UTRGV’s Institute …