Medical Specialties Commons^™

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 …

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 …

In Vivo Evaluation Of Novel Nanoparticles And Repurposed Pharmaceuticals To Combat Antimicrobial Resistance, Sarah E. Evans

Theses, Dissertations and Capstones

In a 2019 report by the Centers for Disease Control and Prevention (CDC), infections resistant to antibiotic treatment amount to about three million infections and 48,000 deaths. Antimicrobial resistance is an escalating global threat as existing antibiotics lose efficacy over time. The project described is focused on partnering with pharmaceutical researchers and producers to test new nanoparticle-based or repurposed compounds. The central hypothesis of this thesis is that pharmaceutical formulations such as nanoparticles may provide a cost-effective means of combating the emerging antimicrobial resistance. The nanoparticle compounds allowed for a wide range of customization for the pharmaceutical design, since the …

Glutamatergic Lateral Habenula Neurons Modulate Consolidation Of Associative Memories, Snigdha Srivastava, I-Ching Wang, Mikhail Y Kochukov, Jessica L Swanson, Mauro Costa-Mattioli, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

INTRODUCTION: Despite the rise in psychiatric disorders worldwide, the underlying brain circuits responsible for these devastating conditions remain elusive. The lateral habenula (LHb) has emerged as a key brain structure in depression studies due to its hyperactive state in both patients and animal models. While this aligns with known roles in driving aversive states and regulating serotonin release, it is still unclear how acute and transient activity changes in the LHb can influence higher order cognitive processes such as learning, memory, and behavioral adaptation. Given the importance of these processes to psychiatric conditions, understanding how LHb activity impacts cognitive function …

Survey And Improvement Strategies For Gene Prioritization With Large Language Models, Matthew B Neeley, Guantong Qi, Guanchu Wang, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, Fan Xia, Pengfei Liu, Zhandong Liu, Xia Hu

Duncan NRI Faculty and Staff Publications

Motivation: Rare diseases remain difficult to diagnose due to limited patient data and genetic diversity, with many cases remaining undiagnosed despite advances in variant prioritization tools. While large language models have shown promise in medical applications, their optimal application for trustworthy and accurate gene prioritization downstream of modern prioritization tools has not been systematically evaluated.

Results: We benchmarked various language models for gene prioritization using multi-agent and Human Phenotype Ontology classification approaches to categorize patient cases by phenotype-based solvability levels. To address language model limitations in ranking large gene sets, we implemented a divide-and-conquer strategy with mini-batching and token limiting …

Ancestry-Dependent Immunologic And Prognostic Effects Characterize The Prostate Cancer Urinary Proteome, Annie Ha, Jaron Arbet, Zhuyu Qiu, Amanda Khoo, Brian P. Main, Meinusha Govindarajan, Matthew Waas, Stanley K. Liu, O. John Semmes, Julius O. Nyalwidhe, Paul C. Boutros, Thomas Kislinger

Leroy T. Canoles Jr. Cancer Research Center Faculty Publications

Urine is an attractive biomarker analyte for non-invasive longitudinal monitoring of health and disease, particularly for diseases of the genitourinary tract, like prostate and bladder cancer. The composition of an individual's urine reflects both genetic and lifestyle characteristics that differ across geographies and populations, like diet, hydration and other socio-economic factors. While men of African ancestry have elevated prostate cancer risk, it is unclear to what extent this influences urinary biomarkers. We therefore quantified the urinary proteomes of 329 localized prostate cancer patients: 135 self-identifying as White and 194 self-identifying as Black. We identified 110 proteins that significantly differed between …

Implementing A Chatbot To Promote Hereditary Breast & Ovarian Cancer Genetic Screening In Women's Health: Identifying Barriers And Facilitators To Screening Adoption, Easton N. Wollney, Shireen Madani Sims, Luisel J. Ricks-Santi, Elizabeth Eddy, Daniel Wiesman, Carla L. Fisher

Department of Biomedical and Translational Sciences Faculty Publications

Background

To promote genetic screening among women at risk for hereditary breast and ovarian cancer (HBOC), the American College of Obstetricians and Gynecologists recommends that risk assessment be integrated into practice. Chatbots like the Genetic Information Assistant (Gia®) are increasingly implemented to expand access to hereditary genetic screening. Factors that impact chatbot implementation for HBOC risk screening and women's uptake are not fully realized. To refine implementation strategies prior to full scale implementation, we sought to identify women's perceived facilitators/barriers to adopting Gia screening in a rural population within a large healthcare system in the southern United States.

Methods

We …

A Serum Biomarker Panel And Miniarray Detection System For Tracking Disease Activity And Flare Risk In Lupus Nephritis, Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Weihang Zhu, Richard Williams, Jing Ning, Ramesh Saxena, Tianfu Wu

Faculty, Staff and Student Publications

Introduction: Lupus nephritis (LN) leads to end stage renal disease (ESRD), and early diagnosis and disease monitoring of LN could significantly reduce the risk. however, there is not such a system clinically. In this study we aim to develop a biomarker-panel based point-of-care system for LN.

Methods: Immunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. A quantitative biomarker-panel mini-array (BPMA) system was developed and the sensitivity, specificity, reproducibility, and stability of the were examined. The performance of BPMA in disease monitoring was validated with machine models using a …

Effect Of Digital Health Coaching On Self-Efficacy And Patient-Reported Outcomes In Individuals With Acute Myeloid And Chronic Lymphocytic Leukemia: A Pilot Randomized Controlled Trial, Jennifer Marvin-Peek, Valerie Shelton, Kelly Brassil, Bryan Fellman, Austin Barr, Kelly Sharon Chien, Danielle Hammond, Mahesh Swaminathan, Nitin Jain, William Wierda, Alessandra Ferrajoli, Courtney Dinardo

Faculty, Staff and Student Publications

Introduction: Promotion of self-efficacy can enhance engagement with health care and treatment adherence in patients with cancer. We report the outcomes of a pilot trial of a digital health coach intervention in patients with leukemia with the aim of improving self-efficacy.

Methods: Adult patients with newly diagnosed acute myeloid leukemia (AML) and chronic lymphocytic leukemia (CLL) were randomized 1:1 to a digital health coach intervention or standard of care. The primary outcome of self-efficacy was measured by the Cancer Behavior Inventory (CBI) score.

Results: A total of 147 patients (37 AML, 110 CLL) were enrolled from July 2020 to December …

Enhancing Clinical Trial Matching In Molecular Diagnostics: Using Natural Language Processing And Clustering Approaches In Hematological Malignancies, Gillian Fanning

Theses and Dissertations

Clinical trial matching is a critical component of personalized medicine, particularly in the management of hematologic malignancies. At Virginia Commonwealth University (VCU) Health, the Molecular Diagnostics (MDX) Lab produces somatic variant reports and recommends clinical trials based on the presence of clinically significant mutations. However, the current manual trial recommendation process is time-intensive and lacks scalability.

This study introduces a computational framework to streamline and standardize clinical trial matching using natural language processing (NLP) and unsupervised clustering. Trial brief descriptions were analyzed to extract frequent terms, and trials were grouped based on term similarity using joint dimensionality reduction and clustering. …

Rare Variant Analysis Of Electronic Health Record-Defined Major Depressive Disorder In The All Of Us Research Program, Stephen Emil Vieno

Theses and Dissertations

The underlying pathogenesis of MDD remains poorly understood, with multiple competing hypotheses regarding its exact etiology. As a heterogeneous disorder with relatively low heritability, large-scale genome-wide association studies of MDD have relied on increasingly large sample sizes to identify common genetic variants associated with the disorder. However, the rare variant genetic architecture of MDD is still largely unknown. The aim of the present analysis was to use the AoU—a United States-based biobank that integrates healthcare records from over 50 healthcare systems and possesses whole genome sequencing data for participants—to perform a gene set–based analysis of MDD. This analysis presented several …

Rethinking Parkinson's Disease Genetics In The Precision Medicine Era: Why Genomic Diversity Matters?, Camilla Teixeira Pinheiro Gusmão, Giselli Scaini, Everton Ferreira De Souza, Rafael Antônio Vicente Lacerda, Matheus De Almeida Costa, Raja Mehanna, João Quevedo, Howard Lopes Ribeiro Junior

Faculty, Staff and Student Publications

No abstract provided.

Topss: Tolerability Of Transcranial Direct Current Stimulation In Pediatric Stroke Survivors, Stuart Fraser, Anna Clearman, Melika Abrahams, Bernadette Gillick, Tia Lal, Sean Savitz, Nuray Yozbatiran

Faculty, Staff and Student Publications

Background: Transcranial direct current stimulation is a non-invasive neuromodulation technique with emerging therapeutic potential in neurodevelopmental conditions. While childhood-onset stroke survivors frequently experience long-term motor impairment, there are very few studies examining the safety and feasibility of transcranial direct current stimulation in this population.

Objective: To evaluate the safety, feasibility, and tolerability of bihemispheric transcranial direct current stimulation paired with occupational therapy in children and adolescents with chronic hemiparesis following childhood-onset arterial ischemic stroke or intracranial hemorrhage.

Methods: In this single-arm, open-label pilot study, five participants aged 6-19 years of age received five daily sessions of transcranial direct current stimulation …

Smoking Habit And Long-Term Colorectal Cancer Incidence By Exome-Wide Mutational And Neoantigen Loads: Evidence Based On The Prospective Cohort Incident-Tumour Biobank Method, Tsuyoshi Hamada, Tomotaka Ugai, Carino Gurjao, Satoko Ugai, Xuehong Zhang, Koichiro Haruki, Yasutoshi Takashima, Naohiko Akimoto, Mai Chan Lau, Kosuke Matsuda, Nobuhiro Nakazawa, Mayu Higashioka, Satoshi Miyahara, Keisuke Kosumi, Yohei Masugi, Li Liu, Yin Cao, Daniel Nevo, Molin Wang, Reiko Nishihara, Sachet A Shukla, Catherine J Wu, Levi A Garraway, Jeffrey A Meyerhardt, Edward L Giovannucci, Jonathan A Nowak, Charles S Fuchs, Andrew T Chan, Mingyang Song, Marios Giannakis, Shuji Ogino

Faculty, Staff and Student Publications

Objective: To test the hypothesis that the association of smoking with long-term colorectal cancer incidence may be stronger for tumours with higher mutational and neoantigen loads.

Methods and analysis: In the Nurses' Health Study (1980-2012) and the Health Professionals Follow-up Study (1986-2012), our novel prospective cohort incident-tumour biobank method (PCIBM) used 3053 incident colorectal carcinoma cases including 752 cases with whole-exome sequencing data. Using the multivariable duplication-method Cox regression model with the inverse probability weighting to adjust for the selection bias due to tissue availability, we assessed a differential association of cigarette smoking with colorectal carcinoma incidence by an exome-wide …

Delayed Tooth Eruption As An Early Clinical Indicator Of Genetical Tooth Agenesis: A Family-Based Study Of Cases With Whole-Exome Sequencing, Yu-Chen Jeng, I-Ting Chen, Hui-Ching Cheng, Hsin-Yu Huang, Chao-Kai Hsu, Yu-Fen Yen

Journal of Dental Sciences

Delayed tooth eruption is frequently considered a benign developmental variation but may represent an early sign of genetically driven tooth agenesis. We evaluated a 22-month-old female presenting with markedly delayed eruption (only eight primary teeth) and a positive family history of ectodermal features. Given the inconclusive early radiographic findings, whole-exome sequencing (WES) was utilized. WES revealed the proband carried a heterozygous EDARADD variant (NM_080738:c.328G>T; p.Asp110Tyr). Subsequent familial segregation analysis identified an additional heterozygous WNT10A variant (NM_025216:c.637G>A; p.Gly213Ser) within the broader family. The EDARADD variant alone was associated with varying presentations from normal dentition to delayed eruption. Furthermore, the …

Resort Enhances Reference-Based Cell Type Deconvolution For Spatial Transcriptomics Through Regional Information Integration, Linhua Wang, Ling Wu, Guantong Qi, Chaozhong Liu, Wanli Wang, Xiang H-F Zhang, Zhandong Liu

Duncan NRI Faculty and Staff Publications

Motivation: Spatial transcriptomics (ST) captures positional gene expression within tissues but lacks single-cell resolution. Reference-based cell type deconvolution methods were developed to understand cell type distributions for ST. However, batch/platform discrepancies between references and ST impact their accuracy.

Results: We present Region-based Cell Sorting (ReSort), which utilizes ST's region-level data to lessen reliance on reference data and alleviate these technical issues. In simulation studies, ReSort enhances reference-based deconvolution methods. Applying ReSort to a mouse breast cancer model highlights macrophages M0 and M2 enrichment in the epithelial clone, revealing insights into epithelial-mesenchymal transition and immune infiltration.

Availability and implementation: Source codes …

Drosophila Models Uncover Substrate Channeling Effects On Phospholipids And Sphingolipids In Peroxisomal Biogenesis Disorders, Michael F Wangler, Yu-Hsin Chao, Mary Roth, Ruth Welti, James A Mcnew

Duncan NRI Faculty and Staff Publications

Peroxisomal Biogenesis Disorders Zellweger Spectrum (PBD-ZSD) disorders are a group of autosomal recessive defects in peroxisome formation that produce a multi-systemic disease presenting at birth or in childhood. Well documented clinical biomarkers such as elevated very long chain fatty acids (VLCFA) are key biochemical diagnostic findings in these conditions. Additional, secondary biochemical alterations such as elevated very long chain lysophosphatidylcholines are allowing newborn screening for peroxisomal disease. In addition, a more widespread impact on metabolism and lipids is increasingly being documented by metabolomic and lipidomic studies. Here we utilize Drosophila models of pex2 and pex16 as well as human plasma …

Recurrent Carotid Paragangliomas In A Syndromic Patient With A Heterozygous Missense Variant In Dna Methyltransferase 3 Alpha, Ryan J German, Blake Vuocolo, Liesbeth Vossaert, Lisa Saba, Robin Fletcher, Matthew L Tedder, Bekim Sadikovic, Jennifer Kerkhof, Michael Wangler, Carlos A Bacino

Duncan NRI Faculty and Staff Publications

We report a 40-year-old African American female with a novel variant in exon 8 of DNA methyltransferase 3 alpha (DNMT3A), (NM_022552.4: c.905G>C, p.G302A) who presented with a history of recurrent carotid paragangliomas, mediastinal mass, intellectual disability, dysarthria, cholelithiasis, diabetes mellitus, hypertension, and dysmorphic features. We interpret this novel variant as likely pathogenic and causative for the patient's syndromic features of Heyn-Sproul-Jackson syndrome. Heyn-Sproul-Jackson syndrome is a condition caused by gain-of-function genetic changes in DNMT3A. Paragangliomas have also been observed in non-syndromic patients with genetic alterations in DNMT3A. We describe a patient with clinical features of Heyn-Sproul-Jackson syndrome such as …

Upregulation Of Delta Opioid Receptor By Meningeal Interleukin-10 Prevents Relapsing Pain, Kufreobong E Inyang, Jaewon Sim, Kimberly B Clark, Matan Geron, Karli Monahan, Christine Evans, Patrick O'Connell, Sophie Laumet, Bo Peng, Jiacheng Ma, Cobi J Heijnen, Robert Dantzer, Grégory Scherrer, Annemieke Kavelaars, Matthew Bernard, Yasser A Aldhamen, Joseph K Folger, Alexis Bavencoffe, Geoffroy Laumet

Faculty, Staff and Student Publications

Chronic pain often includes periods of transient amelioration and even remission that alternate with severe relapsing pain. While most research on chronic pain has focused on pain development and maintenance, there is a critical unmet need to better understand the mechanisms that underlie pain remission and relapse. We found that interleukin (IL)-10, a pain resolving cytokine, is produced by resident macrophages in the spinal meninges during remission from pain and signaled to IL-10 receptor-expressing sensory neurons. Using unbiased RNA-sequencing, we identified that IL-10 upregulated expression and antinociceptive activity of δ-opioid receptor (δOR) in the dorsal root ganglion. Genetic or pharmacological …

Neutrophils Unveiled In Chronic Lymphocytic Leukemia, Sheighlah Mcmanus, Priyanka Khare, Maria Teresa S Bertilaccio

Faculty, Staff and Student Publications

This review explores neutrophils' roles in chronic lymphocytic leukemia (CLL), highlighting their functions within the immune system. While neutrophils are known for fighting infections, their altered behavior in CLL significantly impacts disease progression. This review notes the reduced phagocytic abilities of neutrophils and the increased formation of neutrophil extracellular traps (NETs) in patients with CLL. It also examines the effects of CLL treatments, including chemotherapy, immunotherapy and targeted therapies, on neutrophils' count and function, stressing the need for improved strategies to manage therapy-induced immune dysfunction. This review also provides detailed information about the interactions between neutrophils and other immune elements …

Microbial Imprints On Colorectal Cancer: The Epigenetic Silencing Of Phlpp1 As A Prognostic Nexus, Xiangsheng Huang, Faraz Bishehsari

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Protein Regulation By Lipids, Mikhail V Bogdanov, Elena G Govorunova

Faculty, Staff and Student Publications

No abstract provided.

Protecting Organs-At-Risk In Cancer Therapies Through Temporary Organ Displacement: A Comprehensive Review, Rance B Tino, Michael Li, Amirreza Heshmat, Ayush Suresh, Anasimone Guillaume, Kristy K Brock, Bruno C Odisio, Eugene J Koay

Faculty, Staff and Student Publications

Radiation therapy (RT) and locoregional ablation are cornerstones of modern oncology, yet their therapeutic potential is frequently limited by the challenge of sparing healthy organs-at-risk (OARs) from treatment-related complications. Temporary organ displacement (TOD) techniques directly address this issue by creating a physical separation using 'spacers' during treatment, thereby minimizing collateral damage while enhancing therapeutic precision. The clinical benefits, including improved tumor control, reduced morbidity, and enhanced survival, are documented across malignancies of the head and neck, thorax, abdomen, and pelvis. To create a unified framework for this evolving field, this comprehensive review provides a systematic classification of TOD techniques based …

Digital Twins In Healthcare: A Comprehensive Review And Future Directions, Hamid Khoshfekr Rudsari, Becky Tseng, Hongxu Zhu, Lulu Song, Chunhui Gu, Abhishikta Roy, Ehsan Irajizad, Joseph Butner, James Long, Kim-Anh Do

Faculty, Staff and Student Publications

Digital Twin (DT) technology has emerged as a transformative force in healthcare, offering unprecedented opportunities for personalized medicine, treatment optimization, and disease prevention. This comprehensive review examines the current state of DTs in healthcare, analyzing their implementation across different physiological levels-from cellular to whole-body systems. We systematically review the latest developments, methodologies, and applications while identifying challenges and opportunities. Our analysis encompasses technical frameworks for cardiovascular, neurological, respiratory, metabolic, hepatic, oncological, and cellular DTs, highlighting significant achievements such as population-scale cardiac modeling (3,461 patient cohort), reduced atrial fibrillation recurrence rates through patient-specific cardiac models, improved brain tumor radiotherapy planning, advanced …

Role Of Mir-204 In Controlling Metabolic Functions Of The Subretinal Microglia, Yan Chen, Sarah E Bounds, Neloy Kundu, James Regun Karmoker, Yin Liu, Dongin Kim, Jiyang Cai

Faculty, Staff and Student Publications

Rationale: MicroRNA-204 (miR-204) is one of the most abundant miRNA species in the retinal pigment epithelium (RPE) and RPE-derived extracellular vesicles (EVs). Knockout (KO) of miR-204 leads to dysfunction and degeneration of both the RPE and the retina. In addition to previously reported retinal pathologies, we observed the accumulation of lipid-laden subretinal microglia in miR-204 KO mice. This study aimed to identify potential molecular targets of miR-204 involved in microglia lipid processing and to determine whether RPE-derived EVs can improve the function of miR-204-deficient retinal microglia.

Methods: Lipid accumulation in microglia was detected by staining with LipidTox, a fluorescent dye …

Advancing Alzheimer's Research By Improving Disease Modeling Of Secondary Tauopathy, Ethan R Roy, Wei Cao

Faculty, Staff and Student Publications

Despite decades of mechanistic investigation of Alzheimer's disease (AD), wide gaps exist in disease modeling, particularly the pathobiological arm of tau pathology. Relying on transgenic models expressing mutated forms of tau has contributed much knowledge about primary tauopathy, yet with limited relevance to human AD. To eliminate blind spots for basic and translational research, we review recent developments in this area and discuss key refinements toward next-generation AD-relevant tauopathy modeling.