Medical Sciences Commons^™

Loss Of Kdm6a-Mediated Genomic Instability And Metabolic Reprogramming Regulates Response To Therapeutic Perturbations In Bladder Cancer, Pratishtha Singh, Ranit D'Rozario, Bidisha Chakraborty, Swadhin Meher, Deblina Raychaudhuri, Aminah J Tannir, Yang Li, Anurag Majumdar, Jessalyn Hawkins, Yun Xiong, Philip Lorenzi, Padmanee Sharma, Kadir Akdemir, Patrick Pilie, Abhinav K Jain, Byron Hing Lung Lee, Sangeeta Goswami

Faculty, Staff and Student Publications

Mutations in epigenetic regulators are common in bladder cancer, yet their impact on therapeutic responses remains unclear. Here, we identify that loss-of-function mutations in KDM6A, a histone demethylase altered in about 26% of advanced bladder cancers, are associated with poor survival after cisplatin chemotherapy, whereas they correlate with improved outcomes with anti-PD-1 therapy. Using CRISPR-Cas9-engineered murine and human bladder cancer models, we show that KDM6A deficiency increases formation of extrachromosomal circular DNA carrying chemoresistance loci, promoting cisplatin resistance. In parallel, KDM6A loss impairs DNA repair and rewires tumor metabolism, reducing glycolysis and lactate output. This metabolic shift diminishes histone lactylation …

3d Reconstruction Of Spatial Transcriptomics With Spatial Pattern Enhanced Graph Convolutional Neural Network, Chen Tang, Yuansheng Zhou, Xue Xiao, Lei Dong, Lei Yu, Qiwei Li, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for analyzing SRT data rely solely on two-dimensional (2D) spatial coordinates, which limits their ability to accurately identify spatial domains, spatially variable genes (SVGs), cell-to-cell communications, and developmental trajectories in a three-dimensional (3D) spatial manner. To address these limitations, we introduced Spa3D, which utilized the anti-leakage Fourier transform and graph convolutional neural network model to reconstruct 3D-based spatial structures from multiple 2D SRT slices. We demonstrate that Spa3D is …

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …

Machine Learning-Based Multimodal Biomarkers Enable Accurate Diagnosis And Early Detection Of Pancreatic Ductal Adenocarcinoma, Tsung-Hung Yao, Warapen Treekitkarnmongkol, Nagireddy Putluri, Deivendran Sankaran, Tristian Nguyen, Seetharaman Balasenthil, Mark W Hurd, Meng Chen, Randall E Brand, Paul D Lampe, Abu Hena M Kamal, Vasanta Putluri, Tony Y Hu, Anirban Maitra, Eugene J Koay, Ann M Killary, Subrata Sen, Suprateek Kundu

Faculty, Staff and Students Publications

While there has been some progress on discovering clinically validated biomarkers for early detection in pancreatic ductal adenocarcinoma (PDAC), several challenges remain. Most approaches rely on single-modality biomarkers with limited sensitivity and/or specificity. Using data from a multicenter study with an age-matched cohort (n = 203 with healthy controls n = 46, pancreatitis controls n = 36, and diagnosed cases n = 121), we developed a machine learning approach integrating 2,096 microRNAs, 125 metabolites, and CA19-9. Our method performs unsupervised selection of an optimal subset of biomarkers with maximal discriminatory power for diagnosis and early detection. In training data, the …

Covid-19 Infection And Hypertension In Correlation With Race, Elizabeth Durkin

The Pegasus Review: UCF Undergraduate Research Journal

Healthcare disparities exist in the U.S. between different races. This study investigated the frequency of COVID-19 infections and hypertension cases among five different racial groups (White, Black, Asian, Native American, and Native Hawaiian). The study also examined the correlation between COVID-19 infections and hypertension with the hypothesis that because of disease predisposition and socioeconomic barriers, Black populations would have the highest rates of COVID-19 infections and hypertension. We used data from the Kaiser Family Foundation regarding COVID-19 cases and race in conjunction with Census population data to determine whether COVID-19 case frequency means differed by race. Data on hypertension and …

Twin And Cotwin Predictors Of Fetal Demise After Laser Photocoagulation Therapy In Advanced Stage Twin-Twin Transfusion Syndrome: A Fetal Heart Society Research Collaborative Study, Shiraz A Maskatia, Fu-Sheng Chou, Betul Yilmaz, Lisa Howley, Vidhya Annavajjhala, Lindsay Freud, Allison Divanovic, Laxmi Ghimire, Anita J Moon-Grady

Faculty, Staff and Student Publications

Background: Current models to predict outcomes in advanced twin-twin transfusion syndrome are limited. We hypothesized that twin and cotwin echocardiographic factors would improve model performance for donor and recipient demise following laser photocoagulation therapy.

Methods: We performed a multicenter retrospective cohort study of stage 3 to 4 twin-twin transfusion syndrome referred for laser photocoagulation therapy. Fetal echocardiograms were analyzed at a core laboratory. We used multivariable logistic regression models to select variables used for generalized linear mixed-effects modeling. Separate models were developed for donor and recipient demise, using both twin and cotwin variables. Models were assessed by area under the …

Erratum For Nachman Et Al., “Increased Fungal Burden In The Gastrointestinal Tract Of Brain-Dead Organ Donors”, Erika J Nachman, Colleen K Ardis, A Kyle B Ardis, Javier Nieto, Madeline M Bresson, Clare M Robertson, Maggie N Seale, Nora M Villafuerte, Zhe Lyu, Eva C Preisner, Heather A Danhof, Sara C Di Rienzi, Yolanda T Becker, Robert A Britton

Faculty, Staff and Students Publications

No abstract provided.

Predicting Sepsis In Heart Failure Patients Supported By Left Ventricular Assist Devices: The Role Of Ve-Cadherin And Adam10, Shiyi Li, Iván Murrieta-Álvarez, Ismael Garcia, Katherine V Nordick, Rishav Bhattacharya, Shreyo Ghosh, Ronald A Shaju, Adel M Hassan, Carl P Walther, Camila Hochman-Mendez, Alexis E Shafii, Kenneth K Liao, Nandan K Mondal

Faculty, Staff and Students Publications

Vascular endothelial cadherin (VE-Cadherin) is a major endothelial adhesion molecule and can be cleaved explicitly by metalloproteinase domain-containing protein 10 (ADAM10). Vascular hyperpermeability may contribute to a greater susceptibility to sepsis in left ventricular assist device (LVAD) support patients. We aim to evaluate the efficacy of VE-Cadherin and ADAM10 for predicting sepsis in LVAD patients. We prospectively recruited 50 patients with advanced heart failure receiving LVAD therapy. Baseline and weekly postoperative blood samples (weeks 1-4) were collected, and plasma VE-cadherin and ADAM10 levels were measured. Sepsis occurred in 9 of 50 patients (18.0%). Across all sampling points, plasma VE-cadherin and …

Neuronal Subtype Governs Amyloid Structure, Cellular Response, And Cognitive Outcome In Genetically Targeted App Mouse Models, Gabriella A Perez, Zoe Lai, George A Edwards Iii, Jacob M Dundee, Shannon N Leahy, Chuangye Qi, Yanyan Qi, Ye-Jin Park, Tzu-Chiao Lu, M Danish Uddin, Rong Zhao, Hui Zheng, Hongjie Li, Joanna L Jankowsky

Faculty, Staff and Students Publications

Pathological heterogeneity is increasingly appreciated in Alzheimer’s disease, yet we do not know how distinct aggregate conformations arise or influence cognitive outcomes. In an amyloid mouse model, we found that different brain regions formed structurally distinct Aβ deposits, prompting us to test whether neuronal subtypes shape aggregate conformation. To address this, we created transgenic mice expressing the same APP construct in either glutamatergic or GABAergic neurons. APP expression in GABAergic neurons resulted in diffuse plaques with high Aβ42/Aβ40 ratios and minimal gliosis, while glutamatergic expression produced neuritic plaques with activated glia. Despite similar Aβ levels, only mice with neuritic plaques …

N-Palmitoyl Glutamine Is A Candidate Mediator Of Cardiorespiratory Fitness, Jeremy M Robbins, Mark Benson, Anthony R P Verkerke, Gaurav Tiwari, Shuliang Deng, Prashant Rao, Usman A Tahir, Julian Avila-Pacheco, Xu Shi, Yuntian Guan, Foje-Geh Tendoh, Jacob L Barber, Patricia E Miller, Andrew S Perry, Michael E Hall, Alexis C Wood, Kent D Taylor, Wendy S Post, Stephen S Rich, Matthew Nayor, James G Wilson, Gregory D Lewis, Ravi V Shah, Jerome I Rotter, Scott A Summers, Laura M Raffield, Shingo Kajimura, Claude Bouchard, Clary B Clish, Mark A Sarzynski, Robert E Gerszten

Children’s Nutrition Research Center Staff Publications

Background: Cardiorespiratory fitness is an integrative measure of cardiometabolic health and predictor of survival, yet little is known about its molecular underpinnings. Small molecule metabolites and lipids are increasingly recognized as exercise-stimulated signaling molecules and candidate molecular transducers of cardiorespiratory fitness.

Methods: We performed nontargeted liquid chromatography mass spectrometry-based plasma metabolomics in 654 participants (mean age, 35 years; 55% women) from the HERITAGE Family Study (Health, Risk Factors, Exercise Training, and Genetics) who had cardiorespiratory fitness (maximal oxygen uptake [VO2max]) measured by cardiopulmonary exercise testing and underwent 20 weeks of supervised endurance training. Metabolite-VO2max relationships were assessed using linear regression …

Association Between Ultraprocessed Food Consumption And Cardiovascular Disease Risk: Mesa (Multiethnic Study Of Atherosclerosis), Amier Haidar, Rishi Rikhi, Karol E Watson, Alexis C Wood, Michael D Shapiro

Children’s Nutrition Research Center Staff Publications

Background: Ultraprocessed foods (UPFs) have been linked to adverse cardiometabolic outcomes and increased atherosclerotic cardiovascular disease (CVD) (ASCVD) risk. However, prior research has largely focused on homogenous populations, lacking racial and ethnic diversity.

Objectives: The objectives are to examine the longitudinal relationship between UPF consumption and ASCVD risk and to investigate whether these associations differ by race/ethnicity, sex, or socioeconomic status.

Methods: The MESA (Multiethnic Study of Atherosclerosis) is a prospective cohort study of 6,814 U.S. adults aged 45 to 84 years, without clinically apparent CVD. UPF consumption was classified according to the Nova classification system. Multivariable cox proportional hazards …

Loss Of Twist1 Leads To Disruption Of Ciliary Length, Endocytic Vesicle Dynamics, And Cell-Cell Junctions During Neural Tube Formation, Derrick Thomas, Brittany M Hufft-Martinez, Zarna Lalwani, Vi Pham, Mary Elmeniawi, An J Tran, Jianming Xu, Irfan Saadi, Walid D Fakhouri

Faculty, Staff and Student Publications

Background: Endocytosis constitutes a fundamental cellular process governing development through coordinated regulation of plasma membrane remodeling and ciliogenesis, processes essential for cell shape changes and tissue development. Although Twist1 null embryos display complete cranial neural tube (NT) closure defects and conditional knockout in neuroectoderm disrupts cranial neural crest cell fate determination and delamination, the function of TWIST1 in NT morphogenesis remains unknown. We investigated the basis underlying neuroectodermal morphological abnormalities in TWIST1 mutant embryos, specifically the formation of ectopic lateral bending points and cellular disorganization, by examining Twist1's role in cilia formation, adherens junction integrity, and endocytic vesicle dynamics.

Results: …

Correction: Sadagopan Et Al Reduced Computed Tomography Scan Speed Improves Alignment Errors For Patients Undergoing Thoracic Stereotactic Body Radiation Therapy, Ramaswamy Sadagopan, Rachael M Martin-Paulpeter, Christopher R Peeler, Xiaochun Wang, Paige Nitsch, Julianne M Pollard-Larkin

Faculty, Staff and Student Publications

In the original publication [...].

Inhibition Of Gpx4 Induces The Death Of P53-Mutant Triple-Negative Breast Cancer Cells, William M Tahaney, Amanda Lanier, Jing Qian, Cassandra L Moyer, Nghi Nguyen, Yanxia Ma, Jamal Hill, Reid T Powell, Clifford C Stephan, Peter J A Davies, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high rates of tumor protein 53 (TP53) mutation and with limited targeted therapies. Despite being clinically advantageous, direct targeting of mutant TP53 has been challenging. Therefore, we hypothesized that p53-mutant TNBC cells rely upon other potentially targetable survival pathways.

Methods: In vitro and in silico screens were used to identify drugs that induced preferential death in TP53-mutant cells. The effect of the ferroptosis inducer ML-162 was tested both in vitro and in vivo and the mechanism of cell death following ML-162 treatment or GPX4 knockout was …

Modality-Agnostic, Patient-Specific Digital Twins Modeling Temporally Varying Digestive Motion, Jorge Tapias Gomez, Nishant Nadkarni, Lando S Bosma, Jue Jiang, Ergys D Subashi, William P Segars, James M Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan

Faculty, Staff and Student Publications

No abstract provided.

Peripheral Nerve Injury Reduces Macrophage Efferocytosis To Facilitate Neuropathic Pain, Vipul K Pandey, Tusar K Acharya, Kendal F Willcox, Sandeep Dembla, Ajeena Ramanujan, Anamaria R Grieco, Younus A Zuberi, Rajasekaran Mahalingam, Andrew J Shepherd, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

For reasons not fully understood, proresolving immune processes sometimes fail to engage after peripheral nerve injury (PNI), leading to enhanced neuropathic pain and inflammation. Here, we implicate reduced efferocytosis due to proteolytic cleavage of surface MER tyrosine kinase (MERTK) from macrophages at the site of PNI. After PNI, the proportion of macrophages expressing MERTK progressively decreased, while soluble (cleaved) MER increased. Using male and female knock-in mice encoding cleavage-resistant Mertk, we demonstrated that cleavage of MERTK from macrophages at the PNI site led to exaggerated pain-related behaviors. PNI-induced hyperactivity of TRPV1+ sensory neurons and damage to myelin and myelinated …

Stakeholder Perspectives On Humanistic Implementation Of Computer Perception In Health Care: Qualitative Study, Kristin M Kostick-Quenet, Meghan E Hurley, Syed Ayaz, John D Herrington, Casey J Zampella, Julia Parish-Morris, Birkan Tunç, Gabriel Lázaro-Muñoz, Jennifer Blumenthal-Barby, Eric A Storch

Center for Medical Ethics and Health Policy Staff Publications

Background: Computer perception (CP) technologies-including digital phenotyping, affective computing, and related passive sensing approaches-offer unprecedented opportunities to personalize health care, especially mental health care, yet they also provoke concerns about privacy, bias, and the erosion of empathic, relationship-centered practice. At present, it remains elusive what stakeholders who design, deploy, and experience these tools in real-world settings perceive as the risks and benefits of CP technologies.

Objective: This study aims to explore key stakeholder perspectives on the potential benefits, risks, and concerns associated with integrating CP technologies into patient care. A better understanding of these concerns is crucial for responding to …

Performance Of A Rapid, Highly Multiplexed Nucleic Acid Detection Assay For Identification Of Viral And Bacterial Pathogens From Upper Respiratory Tract Specimens, Coreen L Johnson, James J Dunn

Faculty, Staff and Students Publications

Background: Accurate and timely identification of upper respiratory tract pathogens can improve patient management by decreasing unnecessary additional testing, reducing the cost of care, and informing antimicrobial stewardship. We evaluated the FDA-cleared Diasorin LIAISON PLEX® Respiratory Flex (RSP Flex), a highly multiplexed, rapid nucleic acid detection assay that can identify 14 viral and 5 bacterial respiratory pathogens.

Methods: In total, 215 residual patient upper respiratory tract specimens were tested using the RSP Flex assay and results compared to standard-of-care (SOC) molecular testing.

Results: Positive percentage agreement (PPA) was 100% for the following targets: adenovirus, human coronavirus, Bordetella pertussis, Bordetella parapertussis, …

A Systematic Literature Review Of Cvid Reveals Pervasive Detrimental Noninfectious Manifestations, G Michelle Ducasa, Rebecca A Marsh, Ali Mojebi, Hsi-En Ho, Charlotte Cunningham-Rundles, Lisa Forbes Satter, Elena W Y Hsieh, Sinisa Savic, Marta Dafne Cabañero-Navalón, Hector Balastegui-Martin, Joud Hajjar, Gulbu Uzel, Kevin S Thorneloe, Jocelyn R Farmer

Faculty, Staff and Students Publications

Noninfectious manifestations of common variable immunodeficiency (CVID) are not formally summarized. We performed a systematic literature review to generate a comprehensive reference for the field. Splenomegaly was the most reported manifestation across 53 publications, occurring in a median of 35.2% of patients. Frequently reported digestive system manifestations included diarrhea (median 27.8%; 21 publications), hepato(spleno)megaly (median, 21.0%; 19 publications), portal hypertension (median 21.0%; 3 publications), nodular lymphoid hyperplasia (median, 17.0%; 9 publications), and enteropathy (median, 16.0%; 34 publications). Other notable manifestations included interstitial lung disease (median, 8.7%; 32 publications) and autoimmune cytopenias (median 18.0%; 21 publications). Steroids and rituximab were the …

Neurodevelopmental Outcomes Following Hematopoietic Cell Transplantation For Patients With Severe Combined Immunodeficiency (Scid): A Pidtc Study, Virdette L Brumm, Sharon A Kidd, Brent R Logan, Farheen Chunara, Jennifer Heimall, Linda M Griffith, Donald B Kohn, Lauren Sanchez, Jeffrey J Bednarski, Caridad Martinez, Mark Vander Lugt, Neena Kapoor, Nicola Wright, Barbara Spitzer, Joseph H Oved, Sharat Chandra, Deepak Chellapandian, Christen L Ebens, Aleks Petrovic, Ahmad Rayes, Hilary L Haines, Hannah Lust, Hannah-Lise Tirado Schofield, Lauren Christopher, Lynnette L Harris, Lisa Forbes Satter, Lauri Burroughs, Christopher C Dvorak, Elie Haddad, Jennifer W Leiding, Rebecca A Marsh, Luigi D Notarangelo, Sung Yun Pai, Michael A Pulsipher, Jennifer M Puck, Morton J Cowan, Ami J Shah

Faculty, Staff and Students Publications

Hematopoietic cell transplantation (HCT) is a potentially curative treatment for severe combined immunodeficiency (SCID). Since the initiation of newborn screening (NBS), survival rates have improved significantly, but the impact of HCT upon neurodevelopment for patients with SCID requires more investigation. We performed a cross-sectional study of subjects with SCID in North America to assess the impact of NBS, transplant conditioning regimen, and genotype on neurodevelopmental outcomes after HCT. 69 subjects with SCID from 17 PIDTC centers (excluding those with ADA deficiency), ages 6-16 years, received comprehensive standardized neurodevelopmental testing of cognitive, behavioral, and emotional function. Compared with the normative population, …

Pathogenesis Of Polyglutamine Diseases: Piecing Together A Complex Molecular Puzzle, Esmeralda Villavicencio Gonzalez, Huda Y Zoghbi

Duncan NRI Faculty and Staff Publications

Polyglutamine (polyQ) diseases, caused by a CAG repeat expansion encoding a glutamine tract in nine distinct proteins, present a complex molecular puzzle in which each piece contributes to neurodegeneration. While each of the causative proteins has a distinct function, the downstream consequences of polyQ toxicity are often similar, including protein accumulation, transcriptional dysregulation, somatic CAG repeat instability, disrupted energy homeostasis, compromised synaptic function, and selective neuronal death. This review summarizes emerging insights into how proteins with an expanded polyQ tract disrupt distinct cellular functions, and we examine a multitude of discoveries that are inspiring and reshaping novel therapeutic strategies.

Vacmap: An Accurate Long-Read Aligner For Unraveling Complex Genomic Rearrangements, Hongyu Ding, Fritz J Sedlazeck, Christos Proukakis, Caoimhe Morley, Marco Toffoli, Anthony Hv Schapira, Zhirui Liao, Lianrong Pu, Shanfeng Zhu

Faculty, Staff and Students Publications

Sequence alignment is essential for genomic research and clinical diagnostics, yet detecting complex rearrangements such as inversions, duplications, and gene conversions remains challenging due to allele complexity and limitations of current methods. We introduce VACmap, a non-linear mapping approach to enhance the detection and representation of all genetic variations. VACmap improves duplication detection from 20% to 90% in the Challenging Medically-Relevant Genes (CMRG) benchmark and improves characterization of complex inversions in repetitive regions and gene conversion events. It improves resolving clinically significant loci, including the LPA gene (with repetitive KIV-2 units linked to coronary heart disease), GBA1 and STRC genes …

Conclusions Are Not Supported By The Published Statistical Analysis Comment On López-Toledo Et Al Flaxseed Improves Glucose And Lipid Metabolism In Mexican Subjects With Type 2 Diabetes: A Parallel Randomized Clinical Trial, Robert W Spitz, Deependra K Thapa, Thirupathi Reddy Mokalla, Wasiuddin Najam, Andrew W Brown, David B Allison

Children’s Nutrition Research Center Staff Publications

López-Toledo et al [...].

Precision Targeting Of Sting: Challenges, Innovations, And Clinical Outlook For Cancer Therapy, Jiaqi Shi, Yingying Zhang, Na Zhao, Ekihiro Seki, Li Ma, Gordana Kocic, Xiaobo Li, Janoš Terzić, Tongsen Zheng

Faculty, Staff and Student Publications

The stimulator of interferon genes (STING) pathway plays a crucial role in immune responses and has emerged as a compelling target in cancer therapy. Despite promising preclinical studies, clinical trials of STING agonists have largely failed to deliver durable efficacy, with no agents progressing to phase III trials. This review examines the biological, pharmacological, and clinical barriers limiting STING pathway activation in cancer treatment. We discuss the inherent limitations of STING agonists as well as host-related resistance driven by tumor heterogeneity, immune suppression, and chronic STING activation. Mechanisms of acquired resistance, such as immune checkpoint upregulation and suppression of effector …

International Guidelines On The Diagnosis And Treatment Of Nut Carcinoma, Yu Zhang, Qi Zhang, Yue Hao, Jia Luo, Yingshi Piao, Wenxian Wang, Zhengbo Song, Ziming Li, Luka Brcic, Aijun Liu, Jinpu Yu, Yasuhiro Tsutani, Wenzhao Zhong, Wenfeng Fang, Zhijie Wang, Shengxiang Ren, Athanasios G Papavassiliou, Yongchang Zhang, Jingjing Liu, Shirong Zhang, Xiuyu Cai, Ayten Kayi Cangir, Anwen Liu, Wen Li, Filippo Lococo, Ping Zhan, Hongbing Liu, Tangfeng Lv, Liyun Miao, Lingfeng Min, Helmut Popper, Yu Chen, Jingping Yuan, Feng Wang, Zhansheng Jiang, Gen Lin, Long Huang, Xingxiang Pu, Rongbo Lin, Kalevi Kairemo, Weifeng Liu, Chuangzhou Rao, Dongqing Lv, Zongyang Yu, Ashrafian Leanne, Xiaoyan Li, Chuanhao Tang, Hifzur R Siddique, Chengzhi Zhou, Junping Zhang, Junli Xue, Vishal Shelat, Hui Guo, Qian Chu, Rui Meng, Fatemeh Ardeshir, Jingxun Wu, Rui Zhang, Jin Zhou, Robert A Kratzke, Zhengfei Zhu, Yongheng Li, Hong Qiu, Fan Xia, Fiorella Calabrese, Yang Xia, Alessandro Wasum Mariani, Yuanyuan Lu, Xiaofeng Chen, Mark A Klein, Rui Ge, Enyong Dai, Axel H Schönthal, Yu Han, Zhenying Guo, Jian Zhang, Yinghua Ji, Xianbin Liang, Hongmei Zhang, Xuelei Ma, Marco Chiappetta, Xuewen Liu, Francoise Galateau Salle, Yu Yao, Malgorzata Szolkowska, Weiwei Pan, Fei Pang, Fan Wu, Stefan B Watzka, Liping Wang, Youcai Zhu, Li Lin, Aparna Sharma, Jianfei Tu, Xinqing Lin, Jing Cai, Ling Xu, Jisheng Li, Xiaodong Jiao, Kainan Li, Marjorie G Zauderer, Jia Wei, Huijing Feng, Lin Wang, Yingying Du, Wang Yao, Elizabeth Dudnik, Xuefei Shi, Xiaomin Niu, Dongmei Yuan, Yanwen Yao, Jianhui Huang, Yue Feng, Yinbin Zhang, Binbin Song, Wenfeng Li, Jianfei Fu, Marina K Baine, Pingli Sun, Hong Wang, Mingxiang Ye, Dong Wang, Zhaofeng Wang, Jing Wu, Yunyun Yang, Yuan Fang, Zhen Wang, Bin Wan, Donglai Lv, Huafei Chen, Shengjie Yang, Jing Kang, Jiatao Zhang, Chao Zhang, Lin Shi, Yina Wang, Mohamed Emam Sobeih, Bihui Li, Bin Lian, Lili Mao, Zhang Zhang, Ke Wang, Zhongwu Li, Zhefeng Liu, Nong Yang, Lin Wu, Xiaobing Chen, Gu Jin, Miao Li, Guansong Wang, Thomas U Marron, Jiandong Wang, Sanjay Popat, Meiyu Fang, Yong Fang, Daniel Mansilla, Yuan Li, Xiaojia Wang, Jing Chen, Yiping Zhang, Xixu Zhu, Yi Shen, Shenglin Ma, Aaron S Mansfield, Biyun Wang, Lu Si, Anja C Roden, Bjørn H Grønberg, Yong Song, Geoffrey I Shapiro, Christopher A French, Yuanzhi Lu, Qian Wang, Chunwei Xu

Faculty, Staff and Student Publications

Nuclear protein in testis (NUT) carcinoma (NC) represents a rare, clinically aggressive cancer defined by pathognomonic NUT Midline Carcinoma Family Member 1 (NUTM1) gene fusions, with bromodomain and extraterminal domain (BET) protein 4 (BRD4)-NUTM1 being the predominant oncogenic driver. Since its description in 1991, gradual advances have clarified the pathologic mechanisms of NC and its diagnostic methods; however, NC treatment remains a significant challenge. Moreover, diagnostic and treatment approaches for this cancer require further validation and standardization. These guidelines were developed by the Chinese Alliance of Research for NC (ChARN) based on current evidence in …

A Prognostic Matrix Gene Expression Signature Defines Functional Glioblastoma Phenotypes And Niches, Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li, Behnaz Bozorgui, Mary C Farach-Carson, Robert C Rostomily, Anil Korkut

Faculty, Staff and Student Publications

Interactions among tumor, immune, and vascular niches play major roles in glioblastoma (GBM) malignancy and treatment responses. The composition and heterogeneity of extracellular core matrix proteins (CMPs) that mediate such interactions are not well understood. Here, we present an analysis of the clinical relevance of CMP expression in GBM at bulk, single-cell, and spatial anatomical resolution. We show that CMP enrichment is associated with worse patient survival, specific driver oncogenic alterations, mesenchymal state, pro-tumor immune infiltration, and immune checkpoint expression. Matrisome expression is enriched in vascular and leading edge/infiltrative niches that are known to harbor glioma stem cells. Finally, we …

Task-Optimized Brain Parcellations Reveal Latent Functional Organization For Enhanced Connectivity-Based Neuroimaging Classification, Andrew Hannum, Mario A. Lopez

Computer Science: Faculty Scholarship

Brain parcellation schemes are fundamental to neuroimaging, yet general-purpose atlases may obscure the specific functional architecture relevant to a given cognitive task or clinical condition. This reflects a growing consensus that the “optimal” brain map is context-dependent. Here, we introduce a novel framework that validates this principle by generating task-optimized human brain parcellation maps directly from supervised learning objectives. Our method defines functional parcels by grouping brain regions based on the similarity of their contributions to a classifier's decision boundary for a specific goal (e.g., cognitive state decoding or clinical group separation). This approach prioritizes a region's discriminative role over …

Machine Learning Models Predict Long Covid Outcomes Based On Baseline Clinical And Immunologic Factors, Naresh Doni Jayavelu, Hady Samaha, Sonia Tandon Wimalasena, Annmarie Hoch, Jeremy P Gygi, Gisela Gabernet, Al Ozonoff, Shanshan Liu, Carly E Milliren, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren I R Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Joanna Schaenman, Albert C Shaw, David A Hafler, Ruth R Montgomery, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuit, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Linda N Gen, Ana Fernandez Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S Calfee, David J Erle, Charles R Langelier, Leying Guan, Holden T Maecker, Bjoern Peters, Steven H Kleinstein, Elaine F Reed, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Matthew C Altman

Faculty, Staff and Students Publications

Background: The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health issue that is incompletely understood. Predicting which acutely infected individuals will develop long COVID is challenging due to the absence of established biomarkers, clear disease mechanisms, or well-defined sub-phenotypes. Machine learning (ML) models may address this gap by leveraging clinical data to enhance diagnostic precision.

Methods: Clinical data, including antibody titers and viral load measurements collected at the time of hospital admission, are used to predict the likelihood of acute COVID-19 progressing to long COVID. Machine learning models are trained and evaluated for predictive …

Anti-Csf-1r Therapy With Combined Immuno-Chemotherapy Coordinate An Adaptive Immune Response To Eliminate Macrophage Enriched Triple Negative Breast Cancers, Diego A Pedroza, Xueying Yuan, Fengshuo Liu, Hilda L Chan, Christina Zhang, William Bowie, Alex J Smith, Sebastian J Calderon, Nadia Lieu, Weiguo Wu, Paul Porter, Poonam Sarkar, Na Zhao, Constanze V Oehler, Ondrej Peller, M Waleed Gaber, Qian Zhu, Charles M Perou, Xiang H-F Zhang, Jeffrey M Rosen

Faculty, Staff and Students Publications

Women diagnosed with metastatic triple negative breast cancer (mTNBC) have limited treatment options, are more prone to develop resistance and are associated with high mortality. A cold tumor immune microenvironment (TIME) characterized by low T cells and high tumor associated macrophages (TAMs) in mTNBC is associated with the failure of standard-of-care chemotherapy and immune checkpoint blockade (ICB) treatment. We demonstrate that the combination of immunomodulatory low-dose Cyclophosphamide (CTX) coupled with anti-CSF-1R antibody targeted therapy (SNDX-ms6352) and anti-PD-1 (ICB), was highly effective against aggressive metastatic Trp53 null TNBC transplantable syngeneic models that present with high macrophage infiltration. Mechanistically, CSF-1R inhibition along …

A Probabilistic Modeling Analysis Of The Longitudinal Immune Response To Infection And Vaccination Across Demographic Groups And Pulmonary Symptoms, James O'Hanlon, Kaitlyn Sullivan, Lyndsey M. Muehling, Glenda Canderan, Jie Sun, Judith A. Woodfolk, Jeffrey M. Wilson, Rayanne A. Luke

Spora: A Journal of Biomathematics

Antibody and cytokine kinetics describe the dynamic response to immune events such as infection and vaccination. These dynamics are not fully understood, and mathematical characterization may help explain variability across demographic groups and pulmonary symptoms post-acute infection. We fit time-dependent probability models to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) data to obtain distributions of longitudinal antibody response and cytokine values. To assess differences between groups, an overlap metric is applied to the modeled response curves. Our antibody models suggest significant differences between male and female populations and demonstrate deficient antibody responses of less-healthy groups such as smokers. Our cytokine …