Digital Commons Network^™

Functional Characterization Of Qt Interval Associated Scn5a Enhancer Variants Identify Combined Additive Effects, Lavanya Gunamalai, Parul Singh, Brian Berg, Leilei Shi, Ernesto Sanchez, Alexa Smith, Ghislain Breton, Mark T Bedford, Darius Balciunas, Ashish Kapoor

Faculty, Staff and Student Publications

Several empirical and theoretical studies suggest the presence of multiple enhancers per gene that collectively regulate gene expression, and that common sequence variation impacting on the activities of these enhancers is a major source of inter-individual gene expression variability. However, for the vast majority of genes, enhancers and the underlying regulatory variation remains unknown. Even for the genes with well-characterized enhancers, the nature of the combined effects from multiple enhancers and their variants, when known, on gene expression regulation remains unexplored. Here, we have evaluated the combined effects from five SCN5A enhancers and their regulatory variants that are known to …

A Phase Ia Study Of A Novel Anti-Her2 Antibody-Drug Conjugate Gq1001 In Patients With Previously Treated Her2 Positive Advanced Solid Tumors, Chenfei Zhou, Bin Wang, Christina Teng, Hui Yang, Sarina A Piha-Paul, Gary Richardson, Ashanya Malalasekera, Yajun Sun, Wei Wang, Jieqiong Liu, Yan Shi, Xianbao Zhan, Charlotte Lemech

Faculty, Staff and Student Publications

Background: A novel anti-human epidermal growth factor receptor 2 (HER2) antibody-drug conjugate (ADC) GQ1001 was assessed in patients with previously treated HER2 positive advanced solid tumors in a global multi-center phase Ia dose escalation trial.

Methods: In this phase Ia trial, a modified 3 + 3 study design was adopted during dose escalation phase. Eligible patients were enrolled, and GQ1001 monotherapy was administered intravenously every 3 weeks. The starting dose was 1.2 mg/kg, followed by 2.4, 3.6, 4.8, 6.0, 7.2 and 8.4 mg/kg. Extra patients were enrolled into 6.0, 7.2, and 8.4 mg/kg cohorts as dose expansion phase. The primary …

Alleviation Of Liver Fibrosis By Inhibiting A Non-Canonical Atf4-Regulated Enhancer Program In Hepatic Stellate Cells, Li-Xian Yang, Chuangye Qi, Si Lu, Xiang-Shi Ye, Parnaz Merikhian, Du-Yu Zhang, Tao Yao, Jiang-Sha Zhao, Ying Wu, Yongshi Jia, Bo Shan, Jinghai Chen, Xiaozhou Mou, Jia You, Wenbo Li, Yu-Xiong Feng

Faculty, Staff and Student Publications

Liver fibrosis is a critical liver disease that can progress to more severe manifestations, such as cirrhosis, yet no effective targeted therapies are available. Here, we identify that ATF4, a master transcription factor in ER stress response, promotes liver fibrosis by facilitating a stress response-independent epigenetic program in hepatic stellate cells (HSCs). Unlike its canonical role in regulating UPR genes during ER stress, ATF4 activates epithelial-mesenchymal transition (EMT) gene transcription under fibrogenic conditions. HSC-specific depletion of ATF4 suppresses liver fibrosis in vivo. Mechanistically, TGFβ resets ATF4 to orchestrate a unique enhancer program for the transcriptional activation of pro-fibrotic EMT genes. …

Gene Signatures Derived From Transcriptomic-Causal Networks Stratify Colorectal Cancer Patients For Effective Targeted Therapy, Akram Yazdani, Heinz-Josef Lenz, Gianluigi Pillonetto, Raul Mendez-Giraldez, Azam Yazdani, Hanna Sanoff, Reza Hadi, Esmat Samiei, Alan P Venook, Mark J Ratain, Naim Rashid, Benjamin G Vincent, Xueping Qu, Yujia Wen, Michael Kosorok, William F Symmans, John Paul Y C Shen, Michael S Lee, Scott Kopetz, Andrew B Nixon, Monica M Bertagnolli, Charles M Perou, Federico Innocenti

Faculty, Staff and Student Publications

Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.

Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes. This integrative approach involved germline genotype and tumor RNA-seq data from 1165 metastatic CRC patients. The patients were enrolled in a randomized clinical trial receiving either cetuximab or bevacizumab in combination with chemotherapy. An external cohort of paired CRC normal and tumor …

Society For Immunotherapy Of Cancer: Updates And Best Practices For Multiplex Immunohistochemistry (Ihc) And Immunofluorescence (If) Image Analysis And Data Sharing, Janis M Taube, Joel C Sunshine, Michael Angelo, Guray Akturk, Margaret Eminizer, Logan L Engle, Cláudia S Ferreira, Sacha Gnjatic, Benjamin Green, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Daniel Jiménez-Sánchez, Konstanty Korski, Ana Lako, Edwin R Parra, Marlon C Rebelatto, David L Rimm, Scott J Rodig, Jamie Rodriguez-Canales, Jeffrey S Roskes, Kurt A Schalper, Emanuel Schenck, Keith E Steele, Michael J Surace, Alexander S Szalay, Michael T Tetzlaff, Ignacio I Wistuba, Jennifer H Yearley, Carlo B Bifulco

Faculty, Staff and Student Publications

Objectives: Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.

Methods: The Society for Immunotherapy of Cancer convened a task …

The Gip Receptor Activates Futile Calcium Cycling In White Adipose Tissue To Increase Energy Expenditure And Drive Weight Loss In Mice, Xinxin Yu, Shiuhwei Chen, Jan-Bernd Funcke, Leon G Straub, Valentina Pirro, Margo P Emont, Brian A Droz, Kyla Ai Collins, Chanmin Joung, Mackenzie J Pearson, Corey M James, Gopal J Babu, Vissarion Efthymiou, Ashley Vernon, Mary Elizabeth Patti, Yu A An, Evan D Rosen, Matthew P Coghlan, Ricardo J Samms, Philipp E Scherer, Christine M Kusminski

Faculty, Staff and Student Publications

Obesity is a chronic disease that contributes to the development of insulin resistance, type 2 diabetes (T2D), and cardiovascular risk. Glucose-dependent insulinotropic polypeptide (GIP) receptor (GIPR) and glucagon-like peptide-1 (GLP-1) receptor (GLP-1R) co-agonism provide an improved therapeutic profile in individuals with T2D and obesity when compared with selective GLP-1R agonism. Although the metabolic benefits of GLP-1R agonism are established, whether GIPR activation impacts weight loss through peripheral mechanisms is yet to be fully defined. Here, we generated a mouse model of GIPR induction exclusively in the adipocyte. We show that GIPR induction in the fat cell protects mice from diet-induced …

A Regularized Bayesian Dirichlet-Multinomial Regression Model For Integrating Single-Cell-Level Omics And Patient-Level Clinical Study Data, Yanghong Guo, Lei Yu, Lei Guo, Lin Xu, Qiwei Li

Faculty, Staff and Student Publications

The abundance of various cell types can vary significantly among patients with varying phenotypes and even those with the same phenotype. Recent scientific advancements provide mounting evidence that other clinical variables, such as age, gender, and lifestyle habits, can also influence the abundance of certain cell types. However, current methods for integrating single-cell-level omics data with clinical variables are inadequate. In this study, we propose a regularized Bayesian Dirichlet-multinomial regression framework to investigate the relationship between single-cell RNA sequencing data and patient-level clinical data. Additionally, the model employs a novel hierarchical tree structure to identify such relationships at different cell-type …

Causal Models And Prediction In Cell Line Perturbation Experiments, James P Long, Yumeng Yang, Shohei Shimizu, Thong Pham, Kim-Anh Do

Faculty, Staff and Student Publications

In cell line perturbation experiments, a collection of cells is perturbed with external agents and responses such as protein expression measured. Due to cost constraints, only a small fraction of all possible perturbations can be tested in vitro. This has led to the development of computational models that can predict cellular responses to perturbations in silico. A central challenge for these models is to predict the effect of new, previously untested perturbations that were not used in the training data. Here we propose causal structural equations for modeling how perturbations effect cells. From this model, we derive two estimators for …

Genetics And Biology Of Pancreatic Ductal Adenocarcinoma, Haoqiang Ying, Alec C Kimmelman, Nabeel Bardeesy, Raghu Kalluri, Anirban Maitra, Ronald A Depinho

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) poses a grim prognosis for patients. Recent multidisciplinary research efforts have provided critical insights into its genetics and tumor biology, creating the foundation for rational development of targeted and immune therapies. Here, we review the PDAC genomic landscape and the role of specific oncogenic events in tumor initiation and progression, as well as their contributions to shaping its tumor biology. We further summarize and synthesize breakthroughs in single-cell and metabolic profiling technologies that have illuminated the complex cellular composition and heterotypic interactions of the PDAC tumor microenvironment, with an emphasis on metabolic cross-talk across cancer and …

Development Of Sacb-Based Counterselection For Efficient Allelic Exchange In Fusobacterium Nucleatum, Peng Zhou, Bibek G C, Bo Hu, Chenggang Wu

Faculty, Staff and Student Publications

Fusobacterium nucleatum, prevalent in the oral cavity, is significantly linked to overall human health. Our molecular comprehension of its role in oral biofilm formation and its interactions with the host under various pathological circumstances has seen considerable advancements in recent years, primarily due to the development of various genetic tools for DNA manipulation in this bacterium. Of these, counterselection-based unmarked in-frame mutation methods have proved notably effective. Under suitable growth conditions, cells carrying a counterselectable gene die, enabling efficient selection of rare, defined allelic exchange mutants. The sacB gene from Bacillus subtilis, encoding levansucrase, is a widely used …

Scproatlas: An Atlas Of Multiplexed Single-Cell Spatial Proteomics Imaging In Human Tissues, Tiangang Wang, Xuanmin Chen, Yujuan Han, Jiahao Yi, Xi Liu, Pora Kim, Liyu Huang, Kexin Huang, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial proteomics can visualize and quantify protein expression profiles within tissues at single-cell resolution. Although spatial proteomics can only detect a limited number of proteins compared to spatial transcriptomics, it provides comprehensive spatial information with single-cell resolution. By studying the spatial distribution of cells, we can clearly obtain the spatial context within tissues at multiple scales. Spatial context includes the spatial composition of cell types, the distribution of functional structures, and the spatial communication between functional regions, all of which are crucial for the patterns of cellular distribution. Here, we constructed a comprehensive spatial proteomics functional annotation knowledgebase, scProAtlas (https://relab.xidian.edu.cn/scProAtlas/#/), …

Aspdb: An Integrative Knowledgebase Of Human Protein Isoforms From Experimental And Ai-Predicted Structures, Yuntao Yang, Himansu Kumar, Yuhan Xie, Zhao Li, Rongbin Li, Wenbo Chen, Chiamaka S Diala, Meer A Ali, Yi Xu, Albon Wu, Sayed-Rzgar Hosseini, Erfei Bi, Hongyu Zhao, Pora Kim, W Jim Zheng

Faculty, Staff and Student Publications

Alternative splicing is a crucial cellular process in eukaryotes, enabling the generation of multiple protein isoforms with diverse functions from a single gene. To better understand the impact of alternative splicing on protein structures, protein-protein interaction and human diseases, we developed ASpdb (https://biodataai.uth.edu/ASpdb/), a comprehensive database integrating experimentally determined structures and AlphaFold 2-predicted models for human protein isoforms. ASpdb includes over 3400 canonical isoforms, each represented by both experimentally resolved and predicted structures, and >7200 alternative isoforms with AlphaFold 2 predictions. In addition to detailed splicing events, 3D structures, sequence variations and functional annotations, ASpdb uniquely offers comparative analyses and …

Metsdb: A Knowledgebase Of Cancer Metastasis At Bulk, Single-Cell And Spatial Levels, Sijia Wu, Jiajin Zhang, Yanfei Wang, Xinyu Qin, Zhaocan Zhang, Zhennan Lu, Pora Kim, Xiaobo Zhou, Liyu Huang

Faculty, Staff and Student Publications

Cancer metastasis, the process by which tumour cells migrate and colonize distant organs from a primary site, is responsible for the majority of cancer-related deaths. Understanding the cellular and molecular mechanisms underlying this complex process is essential for developing effective metastasis prevention and therapy strategies. To this end, we systematically analysed 1786 bulk tissue samples from 13 cancer types, 988 463 single cells from 17 cancer types, and 40 252 spots from 45 spatial slides across 10 cancer types. The results of these analyses are compiled in the metsDB database, accessible at https://relab.xidian.edu.cn/metsDB/. This database provides insights into alterations in …

Crisprofft: Comprehensive Database Of Crispr/Cas Off-Targets, Grant Wang, Xiaona Liu, Aoqi Wang, Jianguo Wen, Pora Kim, Qianqian Song, Xiaona Liu, Xiaobo Zhou

Faculty, Staff and Student Publications

The CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) programmable nuclease system continues to evolve, with in vivo therapeutic gene editing increasingly applied in clinical settings. However, off-target effects remain a significant challenge, hindering its broader clinical application. To enhance the development of gene-editing therapies and the accuracy of prediction algorithms, we developed CRISPRoffT (https://ccsm.uth.edu/CRISPRoffT/). Users can access a comprehensive repository of off-target regions predicted and validated by a diverse range of technologies across various cell lines, Cas enzyme variants, engineered sgRNAs (single guide RNAs) and CRISPR editing systems. CRISPRoffT integrates results of off-target analysis from 74 studies, encompassing …

Dimensionality Reduction For Visualizing Spatially Resolved Profiling Data Using Spasne, Yuansheng Zhou, Chen Tang, Xue Xiao, Xiaowei Zhan, Tao Wang, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Background: Spatially resolved profiling technologies to quantify transcriptomes, epigenomes, and proteomes have been emerging as groundbreaking methods for comprehensive molecular characterizations. Dimensionality reduction and visualization is an essential step to analyze and interpret spatially resolved profiling data. However, state-of-the-art dimensionality reduction methods for single-cell sequencing data, such as the t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP), were not tailored for spatially resolved profiling data.

Results: Here we developed a spatially resolved t-SNE (SpaSNE) method to integrate both spatial and molecular information. We applied it to a variety of public spatially resolved profiling datasets that were …

Intrinsic Adaptive Plasticity In Mouse And Human Sensory Neurons, Lisa A Mcilvried, John Smith Del Rosario, Melanie Y Pullen, Andi Wangzhou, Tayler D Sheahan, Andrew J Shepherd, Richard A Slivicki, John A Lemen, Theodore J Price, Bryan A Copits, Robert W Gereau

Faculty, Staff and Student Publications

In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability. Increases in spontaneous firing and excitability of sensory neurons are evident in some forms of chronic pain in animal models and human patients. However, whether mechanisms of homeostatic plasticity are engaged in sensory neurons of the peripheral nervous system (PNS) is unknown. Here, we show that sustained depolarization (induced by 24-h incubation in 30 mM KCl) induces compensatory …

The Association Of The Chemotherapy Response Score And Homologous Recombination Deficiency In Patients Undergoing Interval Tumor Reductive Surgery Following Neoadjuvant Chemotherapy, Roni Nitecki Wilke, Jinsong Liu, Shannon Neville Westin, Bryan M Fellman, Travis T Sims, Melissa Pham, Kelly Rangel, Esther Sey, Jose Alejandro Rauh-Hain, Karen H Lu, Anil K Sood, Nicole D Fleming

Faculty, Staff and Student Publications

Objectives: In patients undergoing interval tumor reductive surgery, a good response to neoadjuvant chemotherapy may limit available tumor for homologous recombination deficiency testing. The objective of this study was to assess whether the chemotherapy response score predicts homologous recombination status.

Methods: We identified patients with advanced epithelial ovarian cancer (diagnosed January 2019 to 20 June 2023) who received neoadjuvant chemotherapy, underwent interval surgery, and for whom a chemotherapy response score was reported (1=no or minimal tumor response, 2=appreciable tumor response, 3=complete or near complete response with no residual tumor). Comparisons were made using ANOVAs or Kruskal-Wallis test for continuous variables …

Circakb: A Comprehensive Knowledgebase Of Circadian Genes Across Multiple Species, Xingchen Zhu, Xiao Han, Zhijin Li, Xiaobo Zhou, Seung-Hee Yoo, Zheng Chen, Zhiwei Ji

Faculty, Staff and Student Publications

Circadian rhythms, which are the natural cycles that dictate various physiological processes over a 24-h period, have been increasingly recognized as important in the management and treatment of various human diseases. However, the lack of sufficient data and reliable analysis methods have been a major obstacle to understanding the bidirectional interaction between circadian variation and human health. We have developed CircaKB, a comprehensive knowledgebase of circadian genes across multiple species. CircaKB is the first knowledgebase that provides systematic annotations of the oscillatory patterns of gene expression at a genome-wide level for 15 representative species. Currently, CircaKB contains 226 time-course transcriptome …

Heterorepur: Efficient Modeling Of Heterogeneous Disease Graph For Depression Drug Repurposing Using Heterogeneous Graph Neural Networks, Ko-Hong Lin, Tongtong Huang, Kai Zhang, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Objective Major Depressive Disorder (MDD) is one of the most prevalent psychiatric disorders, yet existing treatments often result in suboptimal responses and encounter high recurrence rate. Repositioning existing medications, which often significantly reduces the required time and budget, has been demonstrated to be a promising strategy for drug discovery of multiple central nervous system (CNS) disorders. However, an efficient modeling strategy of heterogeneous semantic information among biological networks has yet to be developed for drug repurposing.

Material and Methods In this study, we proposed HeteroRepur, by integrating heterogeneous graph neural networks to learn interaction features of Depression Drug Repurposing Graph …

Early Treatment Discontinuation In Patients With Deficient Mismatch Repair Or Microsatellite Instability High Metastatic Colorectal Cancer Receiving Immune Checkpoint Inhibitors, Julien Taieb, Margherita Ambrosini, Emily Alouani, Sara Lonardi, Frank A Sinicrope, Marie Decraecker, Alice Boileve, Emilie Hafliger, Thibault Mazard, Simon Pernot, Pauline Parent, Javier Ros, Michael J Overman, Priya Jayachandran, Vincenzo Nasca, Lisa Salvatore, Rosine Guimbaud, Chiara Cremolini, David Tougeron, Filippo Pietrantonio

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) are recommended to treat patients with deficient mismatch repair/microsatellite instability high (dMMR/MSI-H) metastatic colorectal cancer (mCRC). Pivotal trials have fixed a maximum ICI duration of 2 years, without a compelling rationale. A shorter treatment duration has the potential to improve patients' quality of life and reduce both toxicity and cost without compromising efficacy. Here we examine whether early treatment discontinuation (ETD) before 13 months in patients without progressive disease (PD) can lead to similar long-term disease control compared with a longer treatment duration (LTD).

Methods: To assess whether ETD is associated with similar outcomes compared …

Rethinking The Rise Of Early-Onset Gastrointestinal Cancers: A Call To Action, Benjamin A Weinberg, Caitlin C Murphy, David R Freyer, K Leigh Greathouse, Jan K Blancato, Elena M Stoffel, Julia L Drewes, Anne Blaes, John M Salsman, Y Nancy You, Hannah Arem, Reetu Mukherji, Priyanka Kanth, Xin Hu, Anne Fabrizio, Marion L Hartley, Marios Giannakis, John L Marshall

Faculty, Staff and Student Publications

Since the early 1990s, there has been a dramatic rise in gastrointestinal cancers diagnosed in patients under age 50 for reasons that remain poorly understood. The most significant change has been the increase in incidence rates of early-onset colorectal cancer, especially rates of left-sided colon and rectal cancers. Increases in gastric, pancreatic, and other gastrointestinal cancer diagnoses have further contributed to this trend. We formed a multidisciplinary Think Tank to develop a strategic, coordinated approach to studying early-onset gastrointestinal cancers. This area of research is challenging given multifactorial etiologies. We focused on epidemiology and the environment, the microbiome, and survivorship …

Comprehensive Characterization Of The Transcriptional Landscape In Alzheimer’S Disease (Ad) Brains, Chengxuan Chen, Zhao Zhang, Yuan Liu, Wei Hong, Hande Karahan, Jun Wang, Wenbo Li, Lixia Diao, Meichen Yu, Andrew J Saykin, Kwangsik Nho, Jungsu Kim, Leng Han

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the leading dementia among the elderly with complex origins. Despite extensive investigation into the AD-associated protein-coding genes, the involvement of noncoding RNAs (ncRNAs) and posttranscriptional modification (PTM) in AD pathogenesis remains unclear. Here, we comprehensively characterized the landscape of ncRNAs and PTM events in 1460 samples across six brain regions sourced from the Mount Sinai/JJ Peters VA Medical Center Brain Bank Study and Mayo cohorts, encompassing 33,321 long ncRNAs, 92,897 enhancer RNAs, 53,763 alternative polyadenylation events, and 900,221 A-to-I RNA editing events. We additionally identified 25,351 aberrantly expressed ncRNAs and altered PTM events associated with AD …

Its Own Architect: Flipping Cardiolipin Synthase, Katsuhiro Sawasato, William Dowhan, Mikhail Bogdanov

Faculty, Staff and Student Publications

Current dogma assumes that lipid asymmetry in biological membranes is actively maintained and dispensable for cell viability. The inner (cytoplasmic) membrane (IM) of Escherichia coli is asymmetric. However, the molecular mechanism that maintains this uneven distribution is unknown. We engineered a conditionally lethal phosphatidylethanolamine (PE)-deficient mutant in which the presence of cardiolipin (CL) on the periplasmic leaflet of the IM is essential for viability, revealing a mechanism that provides CL on the desired leaflet of the IM. CL synthase (ClsA) flips its catalytic cytoplasmic domain upon depletion of PE to supply nonbilayer-prone CL in the periplasmic leaflet of the IM …

Novel Computational And Artificial Intelligence Models In Cancer Research, Li Liu, Fuhai Li, Xiaoming Liu, Kai Wang, Zhongming Zhao

Faculty, Staff and Student Publications

The ICIBM 2023 marked the 11th annual conference of its kind, with the ICIBM recently becoming the official conference of the International Association for Intelligent Biology and Medicine (IAIBM), showcasing cutting-edge advancements at the intersection of computation and biomedical research. A summary of the ICIBM 2023 program is provided by Li et al. [1]. As in previous years, cancer research remained a prominent focus, with numerous presentations highlighting innovative approaches to understanding and treating this complex disease. To summarize these contributions, selected works have been compiled in this Special Issue, “Novel Computational and Artificial Intelligence Models in Cancer …

Nucleus-Translocated Gclm Promotes Chemoresistance In Colorectal Cancer Through A Moonlighting Function, Jin-Fei Lin, Ze-Xian Liu, Dong-Liang Chen, Ren-Ze Huang, Fen Cao, Kai Yu, Ting Li, Hai-Yu Mo, Hui Sheng, Zhi-Bing Liang, Kun Liao, Yi Han, Shan-Shan Li, Zhao-Lei Zeng, Song Gao, Huai-Qiang Ju, Rui-Hua Xu

Faculty, Staff and Student Publications

Metabolic enzymes perform moonlighting functions during tumor progression, including the modulation of chemoresistance. However, the underlying mechanisms of these functions remain elusive. Here, utilizing a metabolic clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 knockout library screen, we observe that the loss of glutamate-cysteine ligase modifier subunit (GCLM), a rate-limiting enzyme in glutathione biosynthesis, noticeably increases the sensitivity of colorectal cancer (CRC) cells to platinum-based chemotherapy. Mechanistically, we unveil a noncanonical mechanism through which nuclear GCLM competitively interacts with NF-kappa-B (NF-κB)-repressing factor (NKRF), to promote NF-κB activity and facilitate chemoresistance. In response to platinum drug treatment, GCLM is phosphorylated by P38 …

Cardiovascular Disease And Breast Cancer Stage At Diagnosi\S, Ivan Angelov, Allen M Haas, Elizabeth Brock, Lingfeng Luo, Jing Zhao, Benjamin D Smith, Sharon H Giordano, Nicholas J Leeper, Kevin T Nead

Faculty, Staff and Student Publications

Importance: Cardiovascular disease (CVD) and cancer are the leading causes of mortality in the US. Large-scale population-based and mechanistic studies support a direct effect of CVD on accelerated tumor growth and spread, specifically in breast cancer.

Objective: To assess whether individuals presenting with advanced breast cancers are more likely to have prevalent CVD compared with those with early-stage breast cancers at the time of diagnosis.

Design, setting, and participants: This population-based case-control study used data from the Surveillance, Epidemiology, and End Results-Medicare linked databases from 2009 to 2020. The analysis was completed from May 2023 to August 2024. Participants were …

Optimizing Electrode Configurations For Eeg Mild Cognitive Impairment Detection, Yi Jiang, Xin Zhang, Zhiwei Guo, Xiaobo Zhou, Jiayuan He, Ning Jiang

Faculty, Staff and Student Publications

The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored. In the current study, we explored the optimization of electrode configuration for MCI detection. We used a 32-channel EEG device to record the data of 21 MCI patients and 20 cognitively normal elderly (NC) undergoing working memory (WM) tasks. Based on the differential value (MCI group vs. NC group) from the Power Spectral Density (PSD) value of each electrode in θ and α frequency band during WM …

Serum Metabolome Profiling In Patients With Mild Cognitive Impairment Reveals Sex Differences In Lipid Metabolism, Rocio Diaz Escarcega, Vijay Kumar M J, Vasilia E Kyriakopoulos, Guadalupe J Ortiz, Aaron M Gusdon, Huihui Fan, Pedram Peesh, Maria P Blasco Conesa, Gabriela Delevati Colpo, Hilda W Ahnstedt, Lucy Couture, Stella H Kim, Miriam Hinojosa, Christine M Farrell, Sean P Marrelli, Akihiko Urayama, Bhanu P Ganesh, Paul E Schulz, Louise D Mccullough, Andrey S Tsvetkov

Faculty, Staff and Student Publications

Alzheimer's disease (AD) affects more women than men. Although women live longer than men, it is not longevity alone, but other factors, including metabolic changes, that contribute to the higher risk of AD in women. Metabolic pathways have been implicated in AD progression, but studies to date examined targeted pathways, leaving many metabolites unmeasured. Sex is often a neglected biological variable, and most metabolomic studies were not designed to investigate sex differences in metabolomic profiles. Here, we performed untargeted metabolomic profiling of sera from male and female patients with mild cognitive impairment (MCI), a common precursor to AD, and matched …

Sex Differences In Brain Iron Deposition And Microglial Ferritin In Alzheimer’S Disease, Syed Mushfiqur Rahman, Chunfeng Tan, Akiyoshi Kakita, Jose Felix Moruno-Manchon

Faculty, Staff and Student Publications

Objective

Iron is the most abundant metal in the human brain, and plays a crucial role in many biological processes. However, disruptions in brain iron metabolism can lead to iron buildup, which occurs with aging and is linked to several brain disorders, including Alzheimer's disease. Microglia, the brain's resident immune cells, have the highest capacity to store iron, which is stored intracellularly within ferritin complexes. Importantly, women are at a higher risk of developing Alzheimer's disease and experience faster disease progression compared to men.

Methods

We used postmortem brain samples from patients with Alzheimer's disease and small vessel disease patients …

Heritability And Shared Environmental Effects Of Brain Diseases In 12,040 Extended Families, Janna I R Dijkstra, Marc Hulsman, Lisa Waterink, Henne Holstege, Charlotte E Teunissen, Wouter F L Christiaansen, Bryan A De Jong, Peter Kochunov, Brian Donohue, Marissa D Zwan, Anouk Den Braber, Lisa Vermunt, Sven J Van Der Lee

Faculty, Staff and Student Publications

Brain diseases have complex patterns of genetic and environmental risk factors, and better understanding of these risks is required for more effective prevention strategies. Participants of the Dutch Brain Research Registry provided detailed information on family structure and occurrence of brain diseases. A total of 12,040 participants (73% female, aged 64.9 ± 11 years) provided information on 101,379 family members (53% female, aged 62 ± 25 years). We estimated heritability (h2) of the nine most common brain diseases using polygenic modeling in SOLAR and assessed variations in h2 through bootstrapping; Alzheimer’s disease (AD) (h2 = …