Medicine and Health Sciences Commons^™

Correction: Ver-Net: A Hybrid Transfer Learning Model For Lung Cancer Detection Using Ct Scan Images, Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

No abstract provided.

The Kat Module Of The Saga Complex Maintains The Oncogenic Gene Expression Program In Mycn- Amplified Neuroblastoma, Clare F Malone, Nathaniel W Mabe, Alexandra B Forman, Gabriela Alexe, Kathleen L Engel, Ying-Jiun C Chen, Melinda Soeung, Silvi Salhotra, Allen Basanthakumar, Bin Liu, Sharon Y R Dent, Kimberly Stegmaier

Faculty, Staff and Student Publications

Pediatric cancers are frequently driven by genomic alterations that result in aberrant transcription factor activity. Here, we used functional genomic screens to identify multiple genes within the transcriptional coactivator Spt-Ada-Gcn5-acetyltransferase (SAGA) complex as selective dependencies for MYCN-amplified neuroblastoma, a disease of dysregulated development driven by an aberrant oncogenic transcriptional program. We characterized the DNA recruitment sites of the SAGA complex in neuroblastoma and the consequences of loss of SAGA complex lysine acetyltransferase (KAT) activity on histone acetylation and gene expression. We demonstrate that loss of SAGA complex KAT activity is associated with reduced MYCN binding on chromatin, suppression of …

Using Patient-Specific 3d Modeling And Simulations To Optimize Microwave Ablation Therapy For Liver Cancer, Amirreza Heshmat, Caleb S O'Connor, Jessica Albuquerque Marques Silva, Iwan Paolucci, Aaron Kyle Jones, Bruno C Odisio, Kristy K Brock

Faculty, Staff and Student Publications

Microwave ablation (MWA) of liver tumors presents challenges like under- and over-ablation, potentially leading to inadequate tumor destruction and damage to healthy tissue. This study aims to develop personalized three-dimensional (3D) models to simulate MWA for liver tumors, incorporating patient-specific characteristics. The primary objective is to validate the predicted ablation zones compared to clinical outcomes, offering insights into MWA before therapy to facilitate accurate treatment planning. Contrast-enhanced CT images from three patients were used to create 3D models. The simulations used coupled electromagnetic wave propagation and bioheat transfer to estimate the temperature distribution, predicting tumor destruction and ablation margins. The …

Nivolumab Plus Relatlimab In Patients With Previously Treated Microsatellite Instability-High/Mismatch Repair-Deficient Metastatic Colorectal Cancer: The Phase Ii Checkmate 142 Study, Michael J Overman, Fabio Gelsomino, Massimo Aglietta, Mark Wong, Maria Luisa Limon Miron, Gregory Leonard, Pilar García-Alfonso, Andrew G Hill, Antonio Cubillo Gracian, Eric Van Cutsem, Bassel El-Rayes, Stephen M Mccraith, Beilei He, Ming Lei, Sara Lonardi

Faculty, Staff and Student Publications

BACKGROUND: Programmed death-1 (PD-1) inhibitors, including nivolumab, have demonstrated long-term survival benefit in previously treated patients with microsatellite instability-high/mismatch repair-deficient (MSI-H/dMMR) metastatic colorectal cancer (CRC). PD-1 and lymphocyte-activation gene 3 (LAG-3) are distinct immune checkpoints that are often co-expressed on tumor-infiltrating lymphocytes and contribute to tumor-mediated T-cell dysfunction. Relatlimab is a LAG-3 inhibitor that has demonstrated efficacy in combination with nivolumab in patients with melanoma. Here, we present the results from patients with MSI-H/dMMR metastatic CRC treated with nivolumab plus relatlimab in the CheckMate 142 study.

METHODS: In this open-label, phase II study, previously treated patients with MSI-H/dMMR metastatic CRC …

Molecular Classification And Biomarkers Of Outcome With Immunotherapy In Extensive-Stage Small-Cell Lung Cancer: Analyses Of The Caspian Phase 3 Study, Mingchao Xie, Miljenka Vuko, Jaime Rodriguez-Canales, Johannes Zimmermann, Markus Schick, Cathy O'Brien, Luis Paz-Ares, Jonathan W Goldman, Marina Chiara Garassino, Carl M Gay, John V Heymach, Haiyi Jiang, J Carl Barrett, Ross A Stewart, Zhongwu Lai, Lauren A Byers, Charles M Rudin, Yashaswi Shrestha

Faculty, Staff and Student Publications

BACKGROUND: We explored potential predictive biomarkers of immunotherapy response in patients with extensive-stage small-cell lung cancer (ES-SCLC) treated with durvalumab (D) + tremelimumab (T) + etoposide-platinum (EP), D + EP, or EP in the randomized phase 3 CASPIAN trial.

METHODS: 805 treatment-naïve patients with ES-SCLC were randomized (1:1:1) to receive D + T + EP, D + EP, or EP. The primary endpoint was overall survival (OS). Patients were required to provide an archived tumor tissue block (or ≥ 15 newly cut unstained slides) at screening, if these samples existed. After assessment for programmed cell death ligand-1 expression and tissue …

Exploring The Tradeoff Between Data Privacy And Utility With A Clinical Data Analysis Use Case, Eunyoung Im, Hyeoneui Kim, Hyungbok Lee, Xiaoqian Jiang, Ju Han Kim

Faculty, Staff and Student Publications

BACKGROUND: Securing adequate data privacy is critical for the productive utilization of data. De-identification, involving masking or replacing specific values in a dataset, could damage the dataset's utility. However, finding a reasonable balance between data privacy and utility is not straightforward. Nonetheless, few studies investigated how data de-identification efforts affect data analysis results. This study aimed to demonstrate the effect of different de-identification methods on a dataset's utility with a clinical analytic use case and assess the feasibility of finding a workable tradeoff between data privacy and utility.

METHODS: Predictive modeling of emergency department length of stay was used as …

Risk Factors For Pediatric Ischemic Stroke And Intracranial Hemorrhage: A National Electronic Health Record Based Study, Stuart Fraser, Samantha M Levy, Amee Moreno, Gen Zhu, Sean Savitz, Alicia Zha, Hulin Wu

Faculty, Staff and Student Publications

BACKGROUND: Stroke is an important cause of morbidity in pediatrics. Large studies are needed to better understand the epidemiology, pathogenesis and risk factors associated with pediatric stroke. Large administrative datasets can provide information on risk factors in perinatal and childhood stroke at low cost. The aim of this hypothesis-generating study was to use a large administrative dataset to assess for prevalence and odds-ratios of rare exposures associated with pediatric stroke.

METHODS: The data for patients aged 0-18 with a diagnosis of either ischemic stroke or intracranial hemorrhage were extracted from the Cerner Health Facts EMR Database from 2000 to 2018. …

Multiomics Analysis Of The Phlda Gene Family In Different Cancers And Their Clinical Prognostic Value, Safia Iqbal, Md Rezaul Karim, Shahnawaz Mohammad, Ramya Mathiyalagan, Md Niaj Morshed, Deok-Chun Yang, Hyocheol Bae, Esrat Jahan Rupa, Dong Uk Yang

Faculty, Staff and Student Publications

The PHLDA (pleckstrin homology-like domain family) gene family is popularly known as a potential biomarker for cancer identification, and members of the PHLDA family have become considered potentially viable targets for cancer treatments. The PHLDA gene family consists of PHLDA1, PHLDA2, and PHLDA3. The predictive significance of PHLDA genes in cancer remains unclear. To determine the role of pleckstrin as a prognostic biomarker in human cancers, we conducted a systematic multiomics investigation. Through various survival analyses, pleckstrin expression was evaluated, and their predictive significance in human tumors was discovered using a variety of online platforms. By analyzing the protein-protein interactions, …

Machine Learning Models For Predicting Blood Pressure Phenotypes By Combining Multiple Polygenic Risk Scores, Yana Hrytsenko, Benjamin Shea, Michael Elgart, Nuzulul Kurniansyah, Genevieve Lyons, Alanna C Morrison, April P Carson, Bernhard Haring, Braxton D Mitchell, Bruce M Psaty, Byron C Jaeger, C Charles Gu, Charles Kooperberg, Daniel Levy, Donald Lloyd-Jones, Eunhee Choi, Jennifer A Brody, Jennifer A Smith, Jerome I Rotter, Matthew Moll, Myriam Fornage, Noah Simon, Peter Castaldi, Ramon Casanova, Ren-Hua Chung, Robert Kaplan, Ruth J F Loos, Sharon L R Kardia, Stephen S Rich, Susan Redline, Tanika Kelly, Timothy O'Connor, Wei Zhao, Wonji Kim, Xiuqing Guo, Yii-Der Ida Chen, Trans-Omics In Precision Medicine Consortium, Tamar Sofer

Faculty, Staff and Student Publications

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model's performance as percentage variance explained (PVE) on a held-out test …

Innovation In Bioinformatics: Recent Tools, Database And Involvement Of Artificial Intelligence, Aziz Ahmed, Mohd Shuaib, Abdulbasid Banga, Rizwan Ahmad

Indonesian Journal of Medical Chemistry and Bioinformatics

Bioinformatics has evolved in recent years into a crucial subject and a well-liked research area that is interconnected with many approaches and disciplines. The capacity of bioinformatics and its approaches to tackle challenging biological problems and promote research and development. There are various tools and database which are used in bioinformatics. AI is the capacity of a computational system to carry out various activities associated with intellectual beings and as a computer system's imitation of human intelligence processes. The bioinformatics applications with artificial intelligence have the capacity to annotate the data in the direction of logical conclusions. By combining AI …

Validation Of A Blood-Based Protein Biomarker Panel For A Risk Assessment Of Lethal Lung Cancer In The Physicians' Health Study, Lulu Song, Ehsan Irajizad, Andrew Rundle, Howard D Sesso, John Michael Gaziano, Jody V Vykoukal, Kim-Anh Do, Jennifer B Dennison, Edwin J Ostrin, Johannes F Fahrmann, Frederica Perera, Samir Hanash

Faculty, Staff and Student Publications

This study aimed to assess a four-marker protein panel (4MP)'s performance, including the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19, for predicting lung cancer in a cohort enriched with never- and ever-smokers. Blinded pre-diagnostic plasma samples collected within 2 years prior to a lung cancer diagnosis from 25 cases and 100 sex-, age-, and smoking-matched controls were obtained from the Physicians' Health Study (PHS). The 4MP yielded AUC performance estimates of 0.76 (95% CI: 0.61-0.92) and 0.69 (95% CI: 0.56-0.82) for predicting lung cancer within one year and within two years of diagnosis, respectively. …

Efficacy And Safety Of Atezolizumab And Bevacizumab In Appendiceal Adenocarcinoma, Nicholas J Hornstein, Mohammad A Zeineddine, Betul B Gunes, Andrew J Pellatt, Mark Knafl, Haifeng Zhu, Anneleis F Willett, Abdelrahman Yousef, Suyu Liu, Ryan Sun, Andrew Futreal, Scott E Woodman, Melissa W Taggart, Michael J Overman, Daniel M Halperin, Kanwal P Raghav, John Paul Shen

Faculty, Staff and Student Publications

PURPOSE: Appendiceal adenocarcinoma (AA) remains an orphan disease with limited treatment options for patients unable to undergo surgical resection. Evidence supporting the efficacy of combined VEGF and PD-1 inhibition in other tumor types provided a compelling rationale for investigating this combination in AA, where immune checkpoint inhibitors have not been explored previously.

EXPERIMENTAL DESIGN: We conducted a prospective, single-arm phase II study evaluating efficacy and safety of atezolizumab in conjunction with bevacizumab (Atezo+Bev) in advanced, unresectable AA.

RESULTS: Patients treated with the Atezo+Bev combination had 100% disease control rate (1 partial response, 15 stable disease) with progression-free survival (PFS) of …

Metabolic Alterations And Cellular Responses To Β-Hydroxybutyrate Treatment In Breast Cancer Cells, Hadas Fulman-Levy, Raichel Cohen-Harazi, Bar Levi, Lital Argaev-Frenkel, Ifat Abramovich, Eyal Gottlieb, Sarah Hofmann, Igor Koman, Elimelech Nesher

Faculty, Staff and Student Publications

BACKGROUND: The ketogenic diet (KD), based on high fat (over 70% of daily calories), low carbohydrate, and adequate protein intake, has become popular due to its potential therapeutic benefits for several diseases including cancer. Under KD and starvation conditions, the lack of carbohydrates promotes the production of ketone bodies (KB) from fats by the liver as an alternative source of metabolic energy. KD and starvation may affect the metabolism in cancer cells, as well as tumor characteristics. The aim of this study is to evaluate the effect of KD conditions on a wide variety of aspects of breast cancer cells …

An International Phantom Study Of Inter-Site Variability In Technetium-99m Image Quantification: Analyses From The Target Radioembolization Study, Grace Keane, Rob Van Rooij, Marnix Lam, S Cheenu Kappadath, Bilal Kovan, Stephanie Leon, Matthew Dreher, Kirk Fowers, Hugo De Jong

Faculty, Staff and Student Publications

BACKGROUND: Personalised multi-compartment dosimetry based on [

RESULTS: Regarding the LSF, inter-site variation with planar site-specific protocols was minimal, as determined by comparing computed LSF between sites (interquartile range 9.6-10.1%). A standardised protocol did not improve variation (interquartile range 8.4-9.0%) but did improve mean accuracy compared to the site-specific protocols (5.0% error for standardised protocol vs 8.8% error for site-specific protocols). Regarding the CRC, inter-system variation was notable for site-specific SPECT protocols and could not be improved by the standardised protocol (CRC interquartile range for 37 mm sphere 0.5-0.7 and 0.6-0.8 respectively), however the standardised protocol did improve accuracy of …

A Multicenter Study Of Venetoclax-Based Treatment For Patients With Richter Transformation Of Chronic Lymphocytic Leukemia, Paul J Hampel, Mahesh Swaminathan, Kerry A Rogers, Erin M Parry, Jan A Burger, Matthew S Davids, Wei Ding, Alessandra Ferrajoli, Jonathan M Hyak, Nitin Jain, Saad S Kenderian, Yucai Wang, William G Wierda, Jennifer A Woyach, Sameer A Parikh, Philip A Thompson

Faculty, Staff and Student Publications

Patients with chronic lymphocytic leukemia (CLL) who develop Richter transformation (RT) have a poor prognosis when treated with chemoimmunotherapy regimens used for de novo diffuse large B-cell lymphoma. Venetoclax, a BCL2 inhibitor, has single-agent efficacy in patients with RT and is potentially synergistic with chemoimmunotherapy. In this multicenter, retrospective study, we evaluated 62 patients with RT who received venetoclax-based treatment outside of a clinical trial, in combination with a Bruton tyrosine kinase inhibitor (BTKi; n=28), rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone (R-CHOP) (n=13), or intensive chemoimmunotherapy other than R-CHOP (n=21). The best overall and complete response rates were 36%/25%, 54%/46%, and …

Loss Of Lpar6 And Cab39l Dysregulates The Basal-To-Luminal Urothelial Differentiation Program, Contributing To Bladder Carcinogenesis, Sangkyou Lee, Jolanta Bondaruk, Yishan Wang, Huiqin Chen, June Goo Lee, Tadeusz Majewski, Rachel D Mullen, David Cogdell, Jiansong Chen, Ziqiao Wang, Hui Yao, Pawel Kus, Joon Jeong, Ilkyun Lee, Woonyoung Choi, Neema Navai, Charles Guo, Colin Dinney, Keith Baggerly, Cathy Mendelsohn, David Mcconkey, Richard R Behringer, Marek Kimmel, Peng Wei, Bogdan Czerniak

Faculty, Staff and Student Publications

We describe a strategy that combines histologic and molecular mapping that permits interrogation of the chronology of changes associated with cancer development on a whole-organ scale. Using this approach, we present the sequence of alterations around RB1 in the development of bladder cancer. We show that RB1 is not involved in initial expansion of the preneoplastic clone. Instead, we found a set of contiguous genes that we term "forerunner" genes whose silencing is associated with the development of plaque-like field effects initiating carcinogenesis. Specifically, we identified five candidate forerunner genes (ITM2B, LPAR6, MLNR, CAB39L, and ARL11) mapping near RB1. Two …

Smoking Cessation After Initial Treatment Failure With Varenicline Or Nicotine Replacement: A Randomized Clinical Trial, Paul M Cinciripini, Charles E Green, Sanjay Shete, Jennifer A Minnix, Jason D Robinson, Yong Cui, Seokhun Kim, George Kypriotakis, Diane Beneventi, Janice A Blalock, Francesco Versace, Maher Karam-Hage

Faculty, Staff and Student Publications

Importance: Most people who smoke do not quit on their initial attempt.

Objective: To determine the best subsequent strategy for nonabstinence following initial treatment with varenicline or combined nicotine replacement therapy (CNRT).

Design, setting, and participants: Using a double-blind, placebo-controlled, sequential multiple assignment randomized trial, 490 volunteers were randomized to receive 6 weeks of varenicline or CNRT. After 6 weeks, nonabstainers were rerandomized to continue, switch, or increase medication dosage for 6 additional weeks. The study was conducted from June 2015 through October 2019 in a Texas tobacco treatment clinic.

Interventions: The initial treatment was 2 mg/d of varenicline or …

Differentiation Syndrome Associated With Treatment With Idh2 Inhibitor Enasidenib: Pooled Analysis From Clinical Trials, Pau Montesinos, Amir T Fathi, Stéphane De Botton, Eytan M Stein, Amer M Zeidan, Yue Zhu, Thomas Prebet, Carlos E Vigil, Iryna Bluemmert, Xin Yu, Courtney D Dinardo

Faculty, Staff and Student Publications

Treatment with enasidenib, a selective mutant isocitrate dehydrogenase isoform 2 (IDH2) inhibitor, has been associated with the development of differentiation syndrome (DS) in patients with acute myeloid leukemia (AML). Studies on the incidence and clinical features of DS are limited in this setting, and diagnosis is challenging because of nonspecific symptoms. This study assessed the incidence, diagnostic criteria, risk factors, and correlation with clinical response of DS based on the pooled analysis of 4 clinical trials in patients with IDH2-mutated AML treated with enasidenib as monotherapy, or in combination with azacitidine or with chemotherapy. Across the total AML population, 67 …

Astrocytic Slc4a4 Regulates Blood-Brain Barrier Integrity In Healthy And Stroke Brains Via A Ccl2-Ccr2 Pathway And No Dysregulation, Qi Ye, Juyeon Jo, Chih-Yen Wang, Heavin Oh, Jiangshan Zhan, Tiffany J Choy, Kyoung In Kim, Angelo D'Alessandro, Yana K Reshetnyak, Sung Yun Jung, Zheng Chen, Sean P Marrelli, Hyun Kyoung Lee

Faculty, Staff and Student Publications

Astrocytes play vital roles in blood-brain barrier (BBB) maintenance, yet how they support BBB integrity under normal or pathological conditions remains poorly defined. Recent evidence suggests that ion homeostasis is a cellular mechanism important for BBB integrity. In the current study, we investigated the function of an astrocyte-specific pH regulator, Slc4a4, in BBB maintenance and repair. We show that astrocytic Slc4a4 is required for normal astrocyte morphological complexity and BBB function. Multi-omics analyses identified increased astrocytic secretion of CCL2 coupled with dysregulated arginine-NO metabolism after Slc4a4 deletion. Using a model of ischemic stroke, we found that loss of Slc4a4 exacerbates …

Dynamic Hydrogel-Metal-Organic Framework System Promotes Bone Regeneration In Periodontitis Through Controlled Drug Delivery, Qipei Luo, Yuxin Yang, Chingchun Ho, Zongtai Li, Weicheng Chiu, Anqi Li, Yulin Dai, Weichang Li, Xinchun Zhang

Faculty, Staff and Student Publications

Periodontitis is a prevalent chronic inflammatory disease, which leads to gradual degradation of alveolar bone. The challenges persist in achieving effective alveolar bone repair due to the unique bacterial microenvironment's impact on immune responses. This study explores a novel approach utilizing Metal-Organic Frameworks (MOFs) (comprising magnesium and gallic acid) for promoting bone regeneration in periodontitis, which focuses on the physiological roles of magnesium ions in bone repair and gallic acid's antioxidant and immunomodulatory properties. However, the dynamic oral environment and irregular periodontal pockets pose challenges for sustained drug delivery. A smart responsive hydrogel system, integrating Carboxymethyl Chitosan (CMCS), Dextran (DEX) …

Outcomes And Pattern Of Care For Spinal Myxopapillary Ependymoma In The Modern Era-A Population-Based Observational Study, Chenyang Wang, Michael K Rooney, Christopher Alvarez-Breckenridge, Thomas H Beckham, Caroline Chung, Brian S De, Amol J Ghia, David Grosshans, Nazanin K Majd, Mary F Mcaleer, Susan L Mcgovern, Robert Y North, Arnold C Paulino, Subha Perni, Jay P Reddy, Laurence D Rhines, Todd A Swanson, Claudio E Tatsui, Martin C Tom, Debra N Yeboa, Jing Li

Faculty, Staff and Student Publications

(1) Background: Myxopapillary ependymoma (MPE) is a rare tumor of the spine, typically slow-growing and low-grade. Optimal management strategies remain unclear due to limited evidence given the low incidence of the disease. (2) Methods: We analyzed data from 1197 patients with spinal MPE from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2020). Patient demographics, treatment modalities, and survival outcomes were examined using statistical analyses. (3) Results: Most patients were White (89.9%) with a median age at diagnosis of 42 years. Surgical resection was performed in 95% of cases. The estimated 10-year overall survival was 91.4%. Younger age (hazard ratio …

Plasmonic Nano-Aperture Label-Free Imaging Of Single Small Extracellular Vesicles For Cancer Detection, Nareg Ohannesian, Mohammad Sadman Mallick, Jianzhong He, Yawei Qiao, Nan Li, Simona F Shaitelman, Chad Tang, Eileen H Shinn, Wayne L Hofstetter, Alexei Goltsov, Manal M Hassan, Kelly K Hunt, Steven H Lin, Wei-Chuan Shih

Faculty, Staff and Student Publications

BACKGROUND: Small extracellular vesicle (sEV) analysis can potentially improve cancer detection and diagnostics. However, this potential has been constrained by insufficient sensitivity, dynamic range, and the need for complex labeling.

METHODS: In this study, we demonstrate the combination of PANORAMA and fluorescence imaging for single sEV analysis. The co-acquisition of PANORAMA and fluorescence images enables label-free visualization, enumeration, size determination, and enables detection of cargo microRNAs (miRs).

RESULTS: An increased sEV count is observed in human plasma samples from patients with cancer, regardless of cancer type. The cargo miR-21 provides molecular specificity within the same sEV population at the single …

Ver-Net: A Hybrid Transfer Learning Model For Lung Cancer Detection Using Ct Scan Images, Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: Lung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow healthcare practitioners to handle it more effectively. The advancement of computer-aided detection systems significantly impacted clinical analysis and decision-making on human disease. Towards this, machine learning and deep learning techniques are successfully being applied. Due to several advantages, transfer learning has become popular for disease detection based on image data.

METHODS: In this work, we build a novel transfer learning model (VER-Net) by stacking three different transfer learning models to detect lung cancer using lung CT scan images. …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B Chhetri, Carla J Connelly, Margaret A Taub, Matthew P Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L Auer, Lucas Barwick, Lewis C Becker, John Blangero, Eugene R Bleecker, Jennifer A Brody, Brian E Cade, Juan C Celedon, Yi-Cheng Chang, L Adrienne Cupples, Brian Custer, Barry I Freedman, Mark T Gladwin, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Carmen R Isasi, Jill M Johnsen, Eimear E Kenny, Charles Kooperberg, Ryan L Minster, Take Naseri, Satupa'itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A Peyser, Kent D Taylor, Marilyn J Telen, Baojun Wu, Lisa R Yanek, Ivana V Yang, Christine Albert, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, Joshua C Bis, Thomas W Blackwell, Eric Boerwinkle, Esteban G Burchard, April P Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza De Andrade, Patrick T Ellinor, Myriam Fornage, Bruce D Gelb, Frank D Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L R Kardia, Shannon Kelly, Barbara A Konkle, Rajesh Kumar, Ruth J F Loos, Fernando D Martinez, Stephen T Mcgarvey, Deborah A Meyers, Braxton D Mitchell, Courtney G Montgomery, Kari E North, Nicholette D Palmer, Juan M Peralta, Benjamin A Raby, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M Benjamin Shoemaker, Edwin K Silverman, Moritz F Sinner, Nicholas L Smith, Albert V Smith, Hemant K Tiwari, Ramachandran S Vasan, Scott T Weiss, L Keoki Williams, Yingze Zhang, Elad Ziv, Laura M Raffield, Alexander P Reiner, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology And Hemostasis Working Group, Topmed Structural Variation Working Group, Marios Arvanitis, Carol W Greider, Rasika A Mathias, Alexis Battle

Faculty, Staff and Student Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Evaluating Performance And Applications Of Sample-Wise Cell Deconvolution Methods On Human Brain Transcriptomic Data, Rujia Dai, Tianyao Chu, Ming Zhang, Xuan Wang, Alexandre Jourdon, Feinan Wu, Jessica Mariani, Flora M Vaccarino, Donghoon Lee, John F Fullard, Gabriel E Hoffman, Panos Roussos, Yue Wang, Xusheng Wang, Dalila Pinto, Sidney H Wang, Chunling Zhang, Psychencode Consortium, Chao Chen, Chunyu Liu

Faculty, Staff and Student Publications

Sample-wise deconvolution methods estimate cell-type proportions and gene expressions in bulk tissue samples, yet their performance and biological applications remain unexplored, particularly in human brain transcriptomic data. Here, nine deconvolution methods were evaluated with sample-matched data from bulk tissue RNA sequencing (RNA-seq), single-cell/nuclei (sc/sn) RNA-seq, and immunohistochemistry. A total of 1,130,767 nuclei per cells from 149 adult postmortem brains and 72 organoid samples were used. The results showed the best performance of dtangle for estimating cell proportions and bMIND for estimating sample-wise cell-type gene expressions. For eight brain cell types, 25,273 cell-type eQTLs were identified with deconvoluted expressions (decon-eQTLs). The …

Dynamic Cbct Imaging Using Prior Model-Free Spatiotemporal Implicit Neural Representation (Pmf-Stinr), Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective. Dynamic cone-beam computed tomography (CBCT) can capture high-spatial-resolution, time-varying images for motion monitoring, patient setup, and adaptive planning of radiotherapy. However, dynamic CBCT reconstruction is an extremely ill-posed spatiotemporal inverse problem, as each CBCT volume in the dynamic sequence is only captured by one or a few x-ray projections, due to the slow gantry rotation speed and the fast anatomical motion (e.g. breathing).Approach. We developed a machine learning-based technique, prior-model-free spatiotemporal implicit neural representation (PMF-STINR), to reconstruct dynamic CBCTs from sequentially acquired x-ray projections. PMF-STINR employs a joint image reconstruction and registration approach to address the …

Gte: A Graph Learning Framework For Prediction Of T-Cell Receptors And Epitopes Binding Specificity, Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Faculty, Staff and Student Publications

The interaction between T-cell receptors (TCRs) and peptides (epitopes) presented by major histocompatibility complex molecules (MHC) is fundamental to the immune response. Accurate prediction of TCR–epitope interactions is crucial for advancing the understanding of various diseases and their prevention and treatment. Existing methods primarily rely on sequence-based approaches, overlooking the inherent topology structure of TCR–epitope interaction networks. In this study, we present , a novel heterogeneous Graph neural network model based on inductive learning to capture the topological structure between TCRs and Epitopes. Furthermore, we address the challenge of constructing negative samples within the graph by proposing a dynamic edge …

Androgen Deprivation Induces Neuroendocrine Phenotypes In Prostate Cancer Cells Through Creb1/Ezh2-Mediated Downregulation Of Rest, Dayong Zheng, Yan Zhang, Sukjin Yang, Ning Su, Michael Bakhoum, Guoliang Zhang, Samira Naderinezhad, Zhengmei Mao, Zheng Wang, Ting Zhou, Wenliang Li

Faculty, Staff and Student Publications

Although effective initially, prolonged androgen deprivation therapy (ADT) promotes neuroendocrine differentiation (NED) and prostate cancer (PCa) progression. It is incompletely understood how ADT transcriptionally induces NE genes in PCa cells. CREB1 and REST are known to positively and negatively regulate neuronal gene expression in the brain, respectively. No direct link between these two master neuronal regulators has been elucidated in the NED of PCa. We show that REST mRNA is downregulated in NEPC cell and mouse models, as well as in patient samples. Phenotypically, REST overexpression increases ADT sensitivity, represses NE genes, inhibits colony formation in culture, and xenograft tumor …