Medicine and Health Sciences Commons^™

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 …

Cansar 2024-An Update To The Public Drug Discovery Knowledgebase, Phillip W Gingrich, Rezvan Chitsazi, Ansuman Biswas, Chunjie Jiang, Li Zhao, Joseph E Tym, Kevin M Brammer, Jun Li, Zhigang Shu, David S Maxwell, Jeffrey A Tacy, Ioan L Mica, Michael Darkoh, Patrizio Di Micco, Kaitlyn P Russell, Paul Workman, Bissan Al-Lazikani

Faculty, Staff and Student Publications

canSAR (https://cansar.ai) continues to serve as the largest publicly available platform for cancer-focused drug discovery and translational research. It integrates multidisciplinary data from disparate and otherwise siloed public data sources as well as data curated uniquely for canSAR. In addition, canSAR deploys a suite of curation and standardization tools together with AI algorithms to generate new knowledge from these integrated data to inform hypothesis generation. Here we report the latest updates to canSAR. As well as increasing available data, we provide enhancements to our algorithms to improve the offering to the user. Notably, our enhancements include a revised ligandability classifier …

Urban Sensing In The Era Of Large Language Models, Ce Hou, Fan Zhang, Yong Li, Haifeng Li, Gengchen Mai, Yuhao Kang, Ling Yao, Wenhao Yu, Yao Yao, Song Gao, Min Chen, Yu Liu

Faculty, Staff and Student Publications

Urban sensing has become increasingly important as cities evolve into the centers of human activities. Large language models (LLMs) offer new opportunities for urban sensing based on commonsense and worldview that emerged through their language-centric framework. This paper illustrates the transformative impact of LLMs, particularly in the potential of advancing next-generation urban sensing for exploring urban mechanisms. The discussion navigates through several key aspects, including enhancing knowledge transfer between humans and LLM, urban mechanisms awareness, and achieve automated decision-making with LLM agents. We emphasize the potential of LLMs to revolutionize urban sensing, offering a more comprehensive, efficient, and in-depth understanding …

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 …

Plural Molecular And Cellular Mechanisms Of Pore Domain, Timothy J Abreo, Emma C Thompson, Anuraag Madabushi, Kristen L Park, Heun Soh, Nissi Varghese, Carlos G Vanoye, Kristen Springer, Jim Johnson, Scotty Sims, Zhigang Ji, Ana G Chavez, Miranda J Jankovic, Bereket Habte, Aamir R Zuberi, Cathleen M Lutz, Zhao Wang, Vaishnav Krishnan, Lisa Dudler, Stephanie Einsele-Scholz, Jeffrey L Noebels, Alfred L George, Atul Maheshwari, Anastasios Tzingounis, Edward C Cooper

Faculty, Staff and Students Publications

KCNQ2 variants in children with neurodevelopmental impairment are difficult to assess due to their heterogeneity and unclear pathogenic mechanisms. We describe a child with neonatal-onset epilepsy, developmental impairment of intermediate severity, and KCNQ2 G256W heterozygosity. Analyzing prior KCNQ2 channel cryoelectron microscopy models revealed G256 as a node of an arch-shaped non-covalent bond network linking S5, the pore turret, and the ion path. Co-expression with G256W dominantly suppressed conduction by wild-type subunits in heterologous cells. Ezogabine partly reversed this suppression. Kcnq2G256W/+ mice have epilepsy leading to premature deaths. Hippocampal CA1 pyramidal cells from G256W/+ brain slices showed hyperexcitability. G256W/+ pyramidal …

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 …

Couple-Based Lifestyle Intervention For Minority Prostate Cancer Survivors: A Randomized Feasibility Trial, Dalnim Cho, Yisheng Li, Karen Basen-Engquist, Chiara Acquati, Nga T T Nguyen, Hilary Ma, Curtis A Pettaway, Lorna H Mcneill

Faculty, Staff and Student Publications

Background: Black and Hispanic prostate cancer (PCa) survivors, who face a high burden of comorbid conditions and often engage in low levels of physical activity and healthy eating, remain significantly underrepresented in lifestyle intervention studies.

Purpose: Given the significance of spousal influence, we developed a culturally tailored lifestyle intervention for these survivors and their spouses and assessed its feasibility, acceptability, and impact on behavioral change.

Methods: Survivor-spouse couples were randomly assigned to an intervention group (n = 22), which received 12 health-coaching calls over 6 months, or a usual-care control group (n = 9). Assessments were conducted at baseline (T1), …

Cyclin E1/Cdk2 Activation Defines A Key Vulnerability To Wee1 Kinase Inhibition In Gynecological Cancers, Daehwan Kim, Heekyung Chung, Wen Liu, Kangjin Jeong, Tugba Y Ozmen, Furkan Ozmen, Matthew J Rames, Sangyub Kim, Xiao Guo, Nathan Jameson, Petrus R De Jong, Steven Yea, Laurie Harford, Jiali Li, Cara A Mathews, Deborah B Doroshow, Vincent J Charles, Doris Kim, Kimberlee Fischer, Ahmed A Samatar, Adrian Jubb, Kevin D Bunker, Kimberly Blackwell, Fiona Simpkins, Funda Meric-Bernstam, Gordon B Mills, Olivier Harismendy, Jianhui Ma, Mark R Lackner

Faculty, Staff and Student Publications

Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib. We found that ovarian cancer cell lines with high levels of endogenous Cyclin E1 expression or forced overexpression were exquisitely sensitive to azenosertib and these results extended to in vivo models of ovarian and uterine serous carcinoma. Models with high Cyclin …

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 …

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 …

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 …

Enhanced Motivated Behavior Mediated By Pharmacological Targeting Of The Fgf14/Nav16 Complex In Nucleus Accumbens Neurons, Nolan M Dvorak, Paul A Wadsworth, Guillermo Aquino-Miranda, Pingyuan Wang, Douglas S Engelke, Jingheng Zhou, Nghi Nguyen, Aditya K Singh, Giuseppe Aceto, Zahra Haghighijoo, Isabella I Smith, Nana Goode, Mingxiang Zhou, Yosef Avchalumov, Evan P Troendle, Cynthia M Tapia, Haiying Chen, Reid T Powell, Timothy J Baumgartner, Jully Singh, Leandra Koff, Jessica Di Re, Ann E Wadsworth, Mate Marosi, Marc R Azar, Kristina Elias, Paul Lehmann, Yorkiris M Mármol Contreras, Poonam Shah, Hector Gutierrez, Thomas A Green, Martin B Ulmschneider, Marcello D'Ascenzo, Clifford Stephan, Guohong Cui, Fabricio H Do Monte, Jia Zhou, Fernanda Laezza

Faculty, Staff and Student Publications

Protein/protein interactions (PPI) play crucial roles in neuronal functions. Yet, their potential as drug targets for brain disorders remains underexplored. The fibroblast growth factor 14 (FGF14)/voltage-gated Na+ channel 1.6 (Nav1.6) complex regulates excitability of medium spiny neurons (MSN) of the nucleus accumbens (NAc), a central hub of reward circuitry that controls motivated behaviors. Here, we identified compound 1028 (IUPAC: ethyl 3-(2-(3-(hydroxymethyl)-1H-indol-1-yl)acetamido)benzoate), a brain-permeable small molecule that targets FGF14R117, a critical residue located within a druggable pocket at the FGF14/Nav1.6 PPI interface. We found that 1028 modulates FGF14/Nav1.6 complex assembly and depolarizes the voltage-dependence of Nav1.6 channel inactivation with …

Dexamethasone Dose Intensity Does Not Impact Outcomes In Newly Diagnosed Multiple Myeloma: A Secondary Swog Analysis, Rahul Banerjee, Rachael Sexton, Andrew J Cowan, Aaron S Rosenberg, Sikander Ailawadhi, S Vincent Rajkumar, Shaji Kumar, Angela Dispenzieri, Sagar Lonial, Brian G M Durie, Paul G Richardson, Saad Z Usmani, Antje Hoering, Robert Z Orlowski

Faculty, Staff and Student Publications

Dexamethasone is a key component of induction for newly diagnosed multiple myeloma (NDMM), despite common toxicities, including hyperglycemia and insomnia. In the randomized ECOG E4A03 trial, dexamethasone 40 mg once weekly was associated with lower mortality than higher doses. However, the performance of dexamethasone dose reductions below this threshold with regard to progression-free survival (PFS) and overall survival (OS) in NDMM has not been fully characterized. We conducted a secondary pooled analysis of the SWOG 0777 and SWOG 1211 studies of NDMM, which used lenalidomide and dexamethasone (Rd) alone, with or without bortezomib, and with or without elotuzumab. The planned …

The Role Of Iowa Gambling Task Performance In Response To Citalopram Treatment For Cocaine Use Disorder, Constanza De Dios, Robert Suchting, Charles E Green, Heather E Webber, F Gerard Moeller, Scott D Lane, Joy Schmitz

Faculty, Staff and Student Publications

Background:

Cocaine use disorder (CUD) is associated with executive functioning impairments linked to serotonergic function. Previous studies reported efficacy with the selective serotonin reuptake inhibitor citalopram in reducing cocaine use.

Objectives:

The current study explored moderation and mediation of citalopram effects on cocaine use by performance across executive function domains.

Methods:

We conducted a secondary analysis of a double-blind, placebo-controlled, randomized Bayesian adaptive trial investigating citalopram efficacy in CUD treatment-seeking adults. At baseline and mid-treatment, participants completed assessments of decision-making (Iowa Gambling Task; IGT), attention, response inhibition, and cognitive flexibility. Outcomes were longest duration of abstinence (LDA; count of consecutive …

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 …

Atrx Silences Cartpt Expression In Osteoblastic Cells During Skeletal Development, Yi-Ting Chen, Ming-Ming Jiang, Carolina Leynes, Mary Adeyeye, Camilla F Majano, Barakat Ibrahim, Urszula Polak, George Hung, Zixue Jin, Denise G Lanza, Lan Liao, Brian Dawson, Yuqing Chen-Evenson, Oscar E Ruiz, Richard J Gibbons, Jason D Heaney, Yangjin Bae, Brendan Lee

Faculty, Staff and Students Publications

ATP-dependent chromatin remodeling protein ATRX is an essential regulator involved in maintenance of DNA structure and chromatin state and regulation of gene expression during development. ATRX was originally identified as the monogenic cause of X-linked α-thalassemia mental retardation (ATR-X) syndrome. Affected individuals display a variety of developmental abnormalities and skeletal deformities. Studies from others investigated the role of ATRX in skeletal development by tissue-specific Atrx knockout. However, the impact of ATRX during early skeletal development has not been examined. Using preosteoblast-specific Atrx conditional knockout mice, we observed increased trabecular bone mass and decreased osteoclast number in bone. In vitro coculture …

Meta-Ea: A Gene-Specific Combination Of Available Computational Tools For Predicting Missense Variant Effects, Panagiotis Katsonis, Olivier Lichtarge

Faculty, Staff and Students Publications

Computational methods for estimating missense variant impact suffer from inconsistent performance across genes, which poses a major challenge for their reliable use in clinical practice. While ensemble scores leverage multiple prediction methods to enhance consistency, the overrepresentation of certain genes in the training data can bias their outcomes. To address this critical limitation, we propose a gene-specific ensemble framework trained on reference computational annotations rather than on clinical or experimental data. Accordingly, we generate Meta-EA ensemble scores that achieve comparable performance to the top individual predicting method for each gene set. Incorporating the effects of splicing and the allele frequency …

Novel Electrophysiological Biomarkers In Pediatric Drug Resistant Epilepsy And Genetic Epilepsy Syndromes, Sakar Rijal

Bioengineering Dissertations - Archive

Pediatric epilepsies, particularly those that are drug-resistant or genetically driven, represent some of the most complex neurological disorders encountered in childhood. Central to their pathophysiology is a disruption in the delicate balance between cortical excitation and inhibition (E/I), often resulting from impaired GABAergic interneuron function. This imbalance manifests as aberrant network dynamics and altered neural oscillations, giving rise to seizures and long-term cognitive impairments. In this thesis, we developed a translational framework to identify electrophysiological biomarkers that (i) assess cortical E/I imbalance and (ii) map epileptogenic zones, with the aim of enhancing diagnosis, guiding surgical planning, and informing therapeutic monitoring …

Predicting Biologic Nonadherence In Inflammatory Bowel Disease Using Machine Learning Models, Christian Rhudy

Theses and Dissertations--Clinical and Translational Science

Inflammatory bowel disease is a chronic relapsing-remitting disease of the intestinal tract affecting approximately 0.5% of the population in the US. Moderate to severe inflammatory bowel disease is managed with biologic therapies to induce and maintain remission, however nonadherence to biologics occurs in and estimated 16.9% and 45% of patients. Nonadherence to biologics can increase the risk of disease flares, emergent healthcare utilization, and surgical intervention. While numerous factors have been associated with biologic nonadherence, there are limited resources for prospectively assessing patient-specific risk of biologic nonadherence. Accordingly, objective of this work is to develop machine learning methods of predicting …

Biomedical Relation Extraction In The Era Of (Large) Language Models, Yuhang Jiang

Theses and Dissertations--Computer Science

Biomedical relation extraction is a key task in information extraction supporting downstream applications such as knowledge discovery, information retrieval, and question answering. As such, improvements in relation extraction (RE) are expected to have major implications for other information needs in biomedicine. In this dis- sertation, we pursue biomedical relation extraction in several advanced settings with recent advances in large language models (LLMs) and retrieval augmented generation (RAG). First, we address an important slot filling task on social media that arose during the Covid-19 pandemic, using the idea of continuous prompts with encoder models. Next, we handle a tricky dynamic n-ary …

Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah

Pitzer Senior Theses

This study presents an original interdisciplinary investigation into how reinforcement learning (RL) can model motor and cognitive defects and potentially improve motor and cognitive functions in individuals with cerebral palsy (CP), a non-progressive neurological disorder that impairs movement and adaptability. Integrating computational neuroscience and machine learning, the research applies policy gradient methods and Markov Decision Processes (MDPs) to simulate adaptive learning in agents with and without CP-related constraints.

The central aim is to compare the cumulative rewards of optimal policies, derived from value iteration, and human-like learning policies using the REINFORCE algorithm, both with and without the Bellman baseline. The …

How Does Cocaine Exposure Affect Early Gene Expression Changes In The Prefrontal Cortex (Pfc) And Striatum?, Saathvika Diviti

Honors Theses

Cocaine use disorder (CUD) remains a significant public health concern, yet the molecular mechanisms underlying individual susceptibility are poorly understood. This study investigates early transcriptional responses to acute cocaine exposure in two key brain regions implicated in addiction, the prefrontal cortex (PFC) and striatum, using genetically diverse Diversity Outbred (DO) mice. Paired tissue samples were collected following a standardized sensitization protocol and analyzed via bulk RNA sequencing. Differential expression analysis revealed 37 significantly differentially expressed genes in the striatum. These genes overlapped with gene sets associated with substance use, neurodevelopmental disorders, and immune signaling, implicating shared pathways in central nervous …

Racial Health Disparities Among Pregnant Women Of Color In New York City: Biological And Systemic Impacts, Kaylin Peña

Pitzer Senior Theses

Racial Health Disparities Among Pregnant Women of Color in New York City: Biological and Systemic Impacts

Abstract

This thesis aims to explore how racial health disparities, underrepresentation in gynecology, and socioeconomic barriers contribute to adverse pregnancy outcomes among women of color in New York City. Through an interdisciplinary approach that combines resources from medical anthropology and human biology, this research will examine the biological implications of chronic stress, specifically HPA axis dysregulation, and its role in maternal health outcomes. With the idea of intersectionality, as conceptualized by Kimberlé Crenshaw, the study analyzes the various effects of systemic inequities and social …