Digital Commons Network^™

Trends In The National Resident Matching Program: Shifting Applicant Priorities In The Setting Of Application Limits And Pass/Fail Step 1 Grading, Joshua Morrow, Siena Blackwell, Zibi Gugala, Atul Maheshwari, Peter Boedeker

Faculty, Staff and Students Publications

Purpose: This study evaluated differences in expected and observed proportions of activities, average Step 2 scores, and abstracts, publications, and presentations since the adoption of a 10-experience maximum for residency applications and pass/fail Step 1 grading.

Method: The authors queried National Resident Matching Program data for MD senior applicants from 2016 to 2024 across 22 specialties. Data included average Step 2 scores; research, work, and volunteer experiences; and number of research products for matched and unmatched students by specialty. Repeated-measures multilevel models were used to estimate the difference in observed outcome in 2024 and expected outcome based on trends from …

Lotilaner Ophthalmic Solution 0.25% In The Treatment Of Demodex Blepharitis: A Case Report, Paul Karpecki, Brandon Ayres, Eric Donnenfeld, Marjan Farid, Ian Benjamin Gaddie, Preeya K Gupta, Cecelia Koetting, Richard Lindstrom, Selina Mcgee, Kelly K Nichols, Laura M Periman, Stephen Pflugfelder, Christopher Starr, Nandini Venkateswaran, Elizabeth Yeu

Faculty, Staff and Students Publications

Demodex blepharitis is a chronic inflammatory ocular condition caused by Demodex mite infestation of the eyelid that can negatively impact quality of life. Currently, lotilaner ophthalmic solution 0.25% is the only FDA-approved treatment for Demodex blepharitis. The Demodex Expert Panel on Treatment and Eyelid Health has established consensus that lotilaner ophthalmic solution 0.25% should be considered the preferred first-line treatment for Demodex blepharitis. We report a patient who presented with collarettes, the pathognomonic sign of Demodex blepharitis, meibomian gland dysfunction, and poor visual acuity. The patient also had a history of neovascular age-related macular degeneration. Consistent with the Demodex Expert …

Conserved Post-Odor Dynamics In The Olfactory Systems Of Mice And Locusts, Elizabeth H Moss, Doris Ling, Cameron L Smith, Feiyang Deng, Ryan Kroeger, Jacob Reimer, Baranidharan Raman, Benjamin R Arenkiel

Faculty, Staff and Students Publications

Interpreting chemical information and translating it into ethologically relevant output is a shared challenge of olfactory systems across species, but are olfactory computations conserved across species to overcome these common challenges? To investigate this, we compared neural activity in the locust antennal lobe (AL) and mouse olfactory bulb (OB) both during and after odor presentations. We found that odors activated nearly mutually exclusive neural ensembles during odor presentations ("ON response") and after the termination of the odor stimulus ("OFF response"). ON and OFF responses evoked by a single odor were anticorrelated with each other. Inverted OFF responses persisted long after …

Prmt5 Inhibition Impairs Fanconi Anemia Pathway-Mediated Homologous Recombination And Enhances The Antitumor Efficacy Of Temozolomide In Glioblastoma, Shumpei Onishi, Sridharan Jayamohan, Ashis Chowdhury, Sarah Rivas, Yoshihiro Otani, Celine Ertekin, Jean-Paul Bryant, Sara A Murphy, Kimberly A Rivera-Caraballo, Stuart Walbridge, Bayu Sisay, Dragan Maric, Abdel Elkahloun, Kory Johnson, Desmond A Brown, John D Heiss, Ashish H Shah, Tae Jin Lee, Sangamesh G Kumbar, Ji Young Yoo, Andrew J Brenner, Balveen Kaur, Gangadhara R Sareddy, Yeshavanth Kumar Banasavadi-Siddegowda

Faculty, Staff and Student Publications

Despite multimodal therapy of surgical resection, radiation, and chemotherapy, glioblastoma patients show a dismal prognosis. Protein Arginine Methyltransferase 5 (PRMT5) is overexpressed in glioblastoma, and its inhibition imparts an anti-tumor effect. Tumor cells invariably develop resistance to Temozolomide (TMZ), the standard chemotherapeutic agent for glioblastoma. However, the mechanistic role of PRMT5 in treatment-resistant glioblastoma is unknown. Patient-derived glioma stem-like cells (GSCs), treated with PRMT5 inhibitor (LLY-283) or transfected with PRMT5-target-specific siRNA, were treated with TMZ and subjected to in vitro functional and mechanistic studies. The intracranial mouse xenograft model was used to test the in vivo antitumor efficacy of combination …

Single-Nucleus Brain Transcriptomics Reveals Microglia Dysfunction In Multiple System Atrophy, Rasmus Rydbirk, Frederik Nørby Friis Sørensen, Jonas Folke, Henriette Haukedal, Andrea Asenjo Martinez, Irene Lisa Vargas, Simone Mcgarry, Oline Chantell Hollmann, Camila Gherardelli, Sofia Sepulveda, Adam T Szafran, Michael A Mancini, Sanne Simone Kaalund, Tomasz Brudek, Lisette Salvesen, Sara Bech, Justyna Okarmus, Peter Kharchenko, Morten Meyer, Claudio Soto, Kristine Freude, Abhisek Mukherjee, Susana Aznar, Konstantin Khodosevich

Faculty, Staff and Student Publications

Multiple system atrophy (MSA) is a rare, age-related neurodegenerative disease that shares clinical and pathological features with Parkinson's disease (PD) but presents a more devastating disease course. To elucidate the distinct cellular pathophysiology, we performed single-nucleus RNA sequencing on postmortem striatal brain tissue from 7 MSA and 12 PD patients, and 10 non-neurological cases. Here, we show significant compositional differences in astroglia and microglia subtypes, while oligodendroglia and neurons are comparable. PD brains show abundant microglia expressing MHC class II HLA haplotypes, indicative of a proinflammatory state, alongside more homeostatic astrocytes. In contrast, MSA lack activated microglia but has more …

Decoding Immunotherapy Response Through Computational Modeling, Bingrui Li, Ruihan Luo, Kexin Huang, Jiajia Liu, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

Immunotherapy has seen success in treating patients with cancer, but variable responses underscore the need for effective patient stratification and therapy planning. Computational tools integrating multi-omics, imaging and machine learning have advanced, yet reliable personalized predictions remain challenging. This review analyzes the field through four converging paradigms: classical machine learning, deep learning, graph and network modeling, and mechanistic systems biology. We examine the evolution from correlational features to representation learning, relational inference, and causal simulation of tumor-immune dynamics, highlighting the shift towards multi-modal fusion and interpretable, clinically deployable models. By providing an integrated review of these computational tools, we hope …

Inflammation- And Resolution-Programmed Myeloid Circuits Govern Therapeutic Resistance In Epithelial And Mesenchymal Triple-Negative Breast Cancer, Liqun Yu, Charlotte Rivas, Fengshuo Liu, Yichao Shen, Ling Wu, Zhan Xu, Yunfeng Ding, Xiaoxin Hao, Weijie Zhang, Hilda L Chan, Jun Liu, Bo Wei, Yang Gao, Luis Becerra-Dominguez, Yi-Hsuan Wu, Siyue Wang, Tobie D Lee, Xuan Li, Xiang Chen, David G Edwards, Xiang H-F Zhang

Faculty, Staff and Students Publications

Single-cell analysis of human triple-negative breast cancer revealed heterogeneous macrophage populations with opposing phenotypes - proinflammatory and proresolution of inflammation. Paradoxically, both subsets accumulated in therapy-refractory residual tumors but showed inverse correlations across patients, suggesting mutually exclusive resistance mechanisms. Inflammatory macrophages localized preferentially to epithelial-like tumors, whereas proresolution macrophages were enriched in mesenchymal-like tumors. Mouse models faithfully recapitulated these patterns. After chemoimmunotherapy, mesenchymal-like tumors expanded proresolution macrophages through phagocytosis/efferocytosis, ω-3 fatty acid uptake, and resolvin production. Macrophage-secreted C1q emerged as a principal antagonist of T cell function by targeting mitochondria and inducing metabolic dysfunction. By contrast, epithelial-like tumors accumulated inflammatory …

Global Impact Of Germline Structural Variation On The Cancer Proteome, Fengju Chen, Yiqun Zhang, Luis F Paulin, Darshan S Chandrashekar, Sooryanarayana Varambally, Fritz J Sedlazeck, Chad J Creighton

Faculty, Staff and Students Publications

Proteome and transcriptome data combined can help assess the relevance of non-coding germline variants. Here, we combine germline Structural Variants (SVs) with mass spectrometry-based proteomics on tumors from 1637 cancer patients spanning various tumor tissues of origin to determine the extent SV breakpoint patterns involve differential protein expression of nearby genes. Rare and singleton SVs disrupting protein expression of known cancer susceptibility genes collectively involve 6% of patients. About 24% of the hundreds of genes with SV-associated non-coding cis-regulatory alterations at the mRNA level are similarly associated at the protein level. Both rare and common SVs may associate with differential …

Dapk2 Regulates Pkm2 Phosphorylation At Threonine 45 To Facilitate Disturbed Flow-Induced Atherosclerosis, Shuai Guo, Long Xu, Yixin Chen, Yuan Zhao, Yuting Zhang, Runfa Yu, Kaixiang Cao, Litao Wang, Wenjia Ai, Jiang-Yun Luo, Lu Lu, Jun He, Yuan Zhou, Li Wang, Andrew H Baker, Yuqing Huo, Yiming Xu

Faculty, Staff and Students Publications

Background: Oscillatory shear stress (OSS), resulting from disturbed blood flow, is implicated in atherosclerotic plaque formation by incompletely understood mechanisms. This study aims to elucidate the involvement of death-associated protein kinase (DAPK) 2 in OSS-induced endothelial cell (EC) activation and atherosclerosis.

Methods: Publicly available resources, including genome-wide microarray, RNA sequencing, and single-cell RNA sequencing, were utilized to identify key OSS-sensitive regulatory factors. Techniques such as mass spectrometry, immunoprecipitation, proximity ligation assay, and RNA sequencing were employed to identify pyruvate kinase M2 (PKM2) as the binding protein of DAPK2 and determine the specific site of PKM2 phosphorylation by DAPK2. To assess …

Adoptive Cell Therapies For Glioblastoma: A Quest For Cures From Within, Jia-Shiun Leu, Xin Ge, Charles Robin Yu, Guang Peng, Jiyong Liang

The Brown Foundation: Institute of Molecular Medicine

Glioblastomas (GBMs) are the most aggressive form of brain cancer recalcitrant to both current standard-of-care and immune checkpoint therapies that benefit other cancer patients. Adoptive cell therapies (ACT) using patients' own immune cells have long been explored as a treatment strategy, including the historically studied lymphokine-activated killer (LAK) cells, the evolving chimeric antigen receptor (CAR) directed immune cells, the newly emerging tumor-infiltrating T lymphocyte (TIL) therapies, and others. Preclinical and clinical studies have shown promise but also highlighted significant challenges. In this review, we summarize these findings, highlight recent developments, discuss current limitations, and emphasize how ACT may benefit from …

Therapeutic Potential Of Glp-1 Receptor Agonists For Smoking Cessation, Christian S Hendershot, W Kyle Simmons, Manish K Jha, Sherry A Mckee, Luba Yammine

Faculty, Staff and Student Publications

Glucagon-like peptide-1 (GLP-1) therapies are under investigation for a growing number of neuropsychiatric conditions, including substance use disorders. Cigarette smoking accounts for the largest proportion of substance use-related morbidity and mortality, in part reflecting increased risk for cardiometabolic disease among people who smoke. Given modest quit rates with approved smoking cessation therapies, medications with novel mechanisms of action are needed to expand the available monotherapy and combination treatment options. Treatments that prevent post-cessation weight gain could further reduce relapse and cardiometabolic risks following smoking cessation. Preclinical findings show that GLP-1 receptor agonists (GLP-1RA) modulate nicotine reward, reduce nicotine self-administration, and …

Loss Of Znrf3/Rnf43 Unleashes Egrfr In Cancer, Fei Yue, Amy T Ku, Payton D Stevens, Megan N Michalski, Weiyu Jiang, Jianghua Tu, Zhongcheng Shi, Yongchao Dou, Yi Wang, Xin-Hua Feng, Galen Hostetter, Xiangwei Wu, Shixia Huang, Noah F Shroyer, Bing Zhang, Bart O Williams, Qingyun Liu, Xia Lin, Yi Li

Faculty, Staff and Students Publications

ZNRF3 and RNF43 are closely related transmembrane E3 ubiquitin ligases with significant roles in development and cancer. Conventionally, their biological functions have been associated with regulating WNT signaling receptor ubiquitination and degradation. However, our proteogenomic studies have revealed EGFR as the protein most negatively correlated with ZNRF3/RNF43 mRNA levels in multiple human cancers. Through biochemical investigations, we demonstrate that ZNRF3/RNF43 interact with EGFR via their extracellular domains, leading to EGFR ubiquitination and subsequent degradation facilitated by the E3 ligase RING domain. Overexpression of ZNRF3 reduces EGFR levels and suppresses cancer cell growth in vitro and in vivo, whereas knockout of …

Constitutive Ampk Activation Prevents Hepatocellular Carcinoma Development Through Inhibition Of Hnf4Α Activity, Zhen Sun, Bernard Linares, Cassidy Urdiales, Fiyad Alsarmi, Boyuan Sang, Nagireddy Putluri, Jeanine L Van Nostrand

Faculty, Staff and Students Publications

Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality and is largely driven by metabolic disorders such as obesity and type 2 diabetes. The AMP-activated protein kinase (AMPK) is a master regulator of metabolism, and its activation has been proposed as a therapeutic strategy for treating metabolic disorders. However, although AMPK activity is down-regulated in HCC, the precise role of AMPK in HCC development has not been clearly delineated. Here, we investigated the ability of constitutive AMPK activation to prevent HCC development using a constitutively active AMPK transgenic mouse model and a pharmacological AMPK activator. We observed that AMPK …

Single-Cell Tcr Mapping Reveals Spatially Coordinated T Cell States In Head And Neck Cancer, Kelli A Mccord, Emerald Kan, Sean Hyslop, Amanda Y Xia, Colby J Hofferek, James S Lewis, Andreas Wieland, David J Hernandez, Vlad C Sandulache, William H Hudson

Faculty, Staff and Students Publications

Current spatial T cell receptor (TCR) profiling approaches lack the resolution needed to link clonal identity, transcriptional state, and spatial positioning of individual T cells in the tumor microenvironment. Here, we introduce a spatial TCR profiling strategy that resolves individual T cell clones together with their transcriptional states at single-cell resolution and applied the method to human head and neck squamous cell carcinoma. Presumed tumor-specific T cells were broadly dispersed throughout the tumor microenvironment, and cells of the same clone occupied distinct transcriptional states in different locations: Immune-rich regions contained more plastic or progenitor cells, whereas tumor-dense regions were enriched …

Evaluating The Utility Of Rnaseq In Prenatal Diagnostics: Expression Profiles Of Cultured Chorionic Villus And Amniotic Fluid Samples, Maria C Vladoiu, Sen Zhao, Roni Zemet, Christian M Parobek, Jefferson Cruz Sinson, Stacy Tankersley, Ignatia B Van Den Veyver, Pengfei Liu

Duncan NRI Faculty and Staff Publications

Objective: While RNAseq has enhanced variant interpretation in postnatal cases, its potential in the prenatal setting remains underexplored. This study investigates the utility of RNAseq in prenatal diagnostics by analyzing the expression profiles of cultured chorionic villus samples (cCVS) and amniotic fluid (cAF) samples.

Methods: We performed RNAseq on 25 prenatal samples (10 cCVS and 15 cAF) and compared their expression profiles with those of postnatal tissues-blood and skin fibroblasts.

Results: To evaluate the clinical relevance of gene expression in these samples, we curated a list of genes associated with fetal-onset genetic disorders (n = 375). Using this curated list …

The Use Of Radiofrequency In The Treatment Of Erectile Dysfunction, Sarah Ponce, Nikola Rakic, Beatriz Hernandez, Mohit Khera

Faculty, Staff and Students Publications

No abstract provided.

Multi-Trait Polygenic Scores For Copd And Copd Exacerbations Implicate Druggable Proteins, Chengyue Zhang, Iain R Konigsberg, Yixuan He, Jingzhou Zhang, Tinashe Chikowore, William B Feldman, Xiaowei Hu, Yi Ding, Bogdan Pasaniuc, Diana Chang, Qingwen Chen, Jessica A Lasky-Su, Julian Hecker, Martin D Tobin, Jing Chen, Sean Kalra, Katherine A Pratte, Hae Kyung Im, Emily S Wan, Ani Manichaikul, Edwin K Silverman, Russell P Bowler, Leslie A Lange, Victor E Ortega, Alicia R Martin, Michael H Cho, Matthew R Moll

Faculty, Staff and Student Publications

BACKGROUND

We constructed multi-trait polygenic risk scores (PRSs) predicting chronic obstructive pulmonary disease (COPD) and exacerbations, validated their performance in diverse cohorts, and identified PRS-related proteins for potential therapeutic targeting.

METHODS

PRSmix+, a multi-trait PRS framework, is used to train a composite PRS (PRSmulti) in COPDGene non-Hispanic White participants (n = 6,647). Associations of PRSmulti with COPD status (GOLD 2–4 vs. GOLD 0 or ICD) and exacerbation frequency were tested in COPDGene African American (n = 2,466), ECLIPSE (n = 1,858), Mass General Brigham Biobank (n = 15,152), and All of Us (n = 118,566). …

An Artificial Intelligence Optimized Hepatic Differentiation Unveils Nr5a2 And Ap-1 Transcriptional Regulation In Hepatic Maturation, Zijun Huo, Jian Tu, Wei-Lei Yang, Mo-Fan Huang, Ruoyu Wang, Chih-Wei Chu, An Xu, Yao Yu, Tara N Tavakol, Mikal Kizilbash, Megan E Fisher, Yu-Wen Huang, Dandan Zhu, Trinh T T Phan, Rachel Shoemaker, Ya-Wen Chen, Yang Zhang, Chad D Huff, Shih-Yu Chen, Tien-Jen Liu, Haipeng Xiao, Dung-Fang Lee, Ruiying Zhao

Faculty, Staff and Student Publications

The generation of hepatocyte-like cells (HLCs) from human pluripotent stem cells (hPSCs) holds great promise for drug discovery and cell-based therapy for liver disease. However, current differentiation protocols are complicated and unstable, and the underlying gene regulatory mechanisms of hepatic differentiation remain incompletely defined. Here, we developed a machine learning-based artificial intelligence (AI) tool using phase-contrast images of hepatic progenitor cells (HPCs), which are essential for generating HLCs. The AI tool significantly improves the success rate of hepatic differentiation without the need for immunostaining or lineage tracing. By optimizing the methodology, we achieved an impressive purity of 90-95% for HLCs …

The Effects Of Orexin Receptor Antagonism During Early Withdrawal In Stimulant Use Disorder: Protocol For A Proof-Of-Concept Study, Heather Webber, Nikky Tran, Rita Blake, Sarah Goldman, Trevor George, Bill Bailey, Robert Suchting, Jin Yoon, Jessica Vincent, Michael Weaver, Joy Schmitz, Scott Lane

Faculty, Staff and Student Publications

Background: Stimulant use disorders (StimUDs), including cocaine and methamphetamine use disorders, remain a major public health concern in the United States with no US Food and Drug Administration (FDA)-approved pharmacological treatments. The early recovery period following stimulant use is marked by sleep disturbances, heightened stress reactivity, and dysregulated reward processing, contributing to high rates of resumption of use. Evidence from animal and human studies supports the orexin neuropeptide system as a promising therapeutic target for minimizing these disruptive mechanisms. Suvorexant, an FDA-approved dual orexin receptor antagonist for insomnia, has previously been shown to improve sleep, reduce stress, and attenuate craving …

Clingen Api Platform For Classification Of Human Genetic Variants, Neethu Shah, Tierra Farris, Arturo Alejandro Zuniga, Andrew R Jackson, Jessie Arce, Kevin Riehle, Christine G Preston, Mark E Mandell, Bryan Wulf, Gloria Cheung, Keyang Yu, Deborah I Ritter, Dubravka Jevtic, Miroslav Milinkov, Novak Martinovic, Nevena Vucinic, Aleksandar Mihajlovic, Alan F Rubin, Melissa S Cline, Marina Distefano, Malachi Griffith, Obi L Griffith, Matt W Wright, Teri E Klein, Sharon E Plon, Aleksandar Milosavljevic

Faculty, Staff and Students Publications

In this commentary, we describe how the Clinical Genome Resource's (ClinGen's) application programming interface-based microservices accelerate growth and dissemination of knowledge about human genetic variation. By exposing findable, accessible, interoperable, reusable, and AI-ready variant data, ClinGen lays a foundation for next-generation software applications, AI systems, and variant classification workflows.

Integration Of Aged Brain Multi-Omics Reveals Cross-System Mechanisms Underlying Alzheimer’S Disease Heterogeneity, Lucas P Scheidemantel, Katia De Paiva Lopes, Chris Gaiteri, Vilas Menon, Philip L De Jager, Julie A Schneider, Aron S Buchman, Yanling Wang, Shinya Tasaki, Roberto T Raittz, David A Bennett, Ricardo A Vialle

Faculty, Staff and Student Publications

The molecular correlates of Alzheimer's disease (AD) are increasingly being defined by multi-omics. However, findings from different data types are often difficult to reconcile. Here, we apply a data-driven multi-omics framework integrating seven omics layers from up to 1,358 aged human brain samples from the Religious Orders Study and Rush Memory and Aging Project. We demonstrate sprawling cross-omics biological factors relating to AD phenotypes. The strongest AD-associated factor (factor 8) is characterized by elevated immune activity at the epigenetic level, decreased heat shock gene expression in the transcriptome, and disrupted energy metabolism and cytoskeletal dynamics in the proteome. Unsupervised clustering …

Multi-Organ Physiologic Deficits During Exercise Identify Clinical And Molecular Predisposition To Heart Failure With Preserved Ejection Fraction, Isabela Landsteiner, Lindsey K Stolze, Tess E Peterson, Andrew Perry, Phillip Lin, Quanhu Sheng, Shilin Zhao, Kaushik Amancherla, Michael Y Mi, Takenori Ikoma, Laura P Cohen, Ilya Giverts, Joseph Campain, Joao A C Lima, Wendy S Post, Kent D Taylor, Robert Gerszten, Stephen S Rich, Russell Tracy, Peter Durda, Alexis C Wood, Rajeev Malhotra, Jerome I Rotter, Clary Clish, Matthew Nayor, Eric R Gamazon, Ravi V Shah, Gregory D Lewis

Faculty, Staff and Students Publications

Background: Exercise unmasks limitations in multi-organ system reserve capacity characteristic of heart failure with preserved ejection fraction (HFpEF). However, the metabolic and genetic underpinnings of exercise deficits, and their cumulative contribution to HFpEF severity and prognosis, remain incompletely understood.

Methods: We used invasive cardiopulmonary exercise testing (iCPET), metabolite profiling, and genomics to simultaneously characterize seven exercise physiologic deficits in HFpEF patients: reduced exercise stroke volume and heart rate, steep pulmonary capillary wedge pressure/cardiac output (PCWP/CO) slope, elevated pulmonary vascular resistance, pulmonary mechanical limitation to exercise, impaired peripheral oxygen extraction, and obesity-related exaggerated metabolic cost of initiating exercise. We first mapped …

Structure-Preserving Multivariate Hypothesis Testing For Mass Spectrometry Imaging And Single-Cell Data, Keziah E Liebenberg, Erin Craig, Robert Tibshirani, Livia S Eberlin

Faculty, Staff and Students Publications

Motivation: Mass spectrometry imaging (MSI) and single-cell RNA sequencing (scRNA-seq) offer high-resolution views into tissue and cellular heterogeneity. However, conventional statistical analyses often treat sub-measurements (pixels or cells) as independent, ignoring their nested origin from individual samples. This assumption inflates the effective sample size, increases false discoveries, and undermines biological interpretation. Pixel- or cell-level averaging avoids this but sacrifices spatial or cellular resolution.

Results: We evaluated block-SAM on both simulated and real-world datasets. In DESI-MSI data from kidney, lung, and ovarian tumors, block-SAM consistently identified fewer-but more reliable-differential features compared to traditional-SAM. For example, in the kidney dataset, traditional-SAM identified …

Correction: The Formation Of Tau Pore-Like Structures Is Prevalent And Cell Specific: Possible Implications For The Disease Phenotypes, Cristian A Lasagna-Reeves, Urmi Sengupta, Diana Castillo-Carranza, Julia E Gerson, Marcos Guerrero-Munoz, Juan C Troncoso, George R Jackson, Rakez Kayed

Faculty, Staff and Students Publications

This corrects the article "The formation of tau pore-like structures is prevalent and cell specific: possible implications for the disease phenotypes" in volume 2, 56.

Relative Impact Of Multidomain Lifestyle Interventions On Deficit Accumulation Frailty Over 24 Months In The U.S. Pointer Trial, Mark A Espeland, Kayloni Olson, Christy C Tangney, Darren R Gitelman, Maryjo Cleveland, Amber A Thro, Yitbarek N Demesie, Heather M Snyder, Rachel A Whitmer, Pankaja Desai, Rifat Alam, Lucia Crivelli, Thomas M Holland, Olivia Preissle, Rema Raman, Michele K York, Laura D Baker

Faculty, Staff and Students Publications

Background: Multidomain lifestyle interventions hold promise as approaches to slow aging. Deficit accumulation frailty indices (FIs) are increasingly used to capture aging processes. Frailty is highly associated with increased mortality and chronic disease risk, but the degree to which multidomain lifestyle changes impact frailty is not clear.

Methods: The U.S. Study to Protect Brain Health through Lifestyle Intervention to Reduce Risk (U.S. POINTER) was a 2-year randomized clinical trial to compare two multidomain lifestyle interventions designed to increase exercise, improve diet, and promote social and cognitive stimulating activities and health monitoring. The Structured intervention incorporated greater structure, intensity, and accountability …

Versatile Smad2 And Smad3 Epitope-Tagged Mouse Models For Genomic Profiling Of Tgfβ Signaling: Uncovering Gdf9-Smad2/3 Targets, Zian Liao, Qian Zhang, Keisuke Shimada, Kaori Nozawa, Suni Tang, Masahito Ikawa, Diana Monsivais, Martin M Matzuk

Faculty, Staff and Students Publications

Transforming growth factor β (TGFβ) signaling pathways are integral for a plethora of biological processes. SMAD2 and SMAD3 are the principal transcriptional effectors of TGFβ superfamily ligands, yet quantitative, genome-wide mapping of their DNA-associated complexes under physiological contexts has remained limited due to the lack of specific, robust models. Here, we generated two versatile epitope-tagged mouse models in which endogenous SMAD2 and SMAD3 proteins are globally tagged with hemagglutinin (HA) and podoplanin (PA) sequences, respectively, enabling high-fidelity profiling of SMAD2 and SMAD3 binding across tissues. To demonstrate the broad application of our models, we exemplified the usage of our lines …

Lgr5: From Stem Cell Marker To Therapeutic Target, Peyton C High, Maya G Cappellino, Tiffani A Blackburn, Kendra S Carmon

Faculty, Staff and Student Publications

Leucine-rich repeat-containing G protein-coupled receptor 5 (LGR5) is an established marker of normal and cancer stemlike cells. LGR5 has been implicated in promoting cancer cell plasticity that drives tumorigenesis, metastasis, and therapeutic resistance. LGR5 rapidly and constitutively internalizes and potentiates Wnt (Wingless/Int-1)/β-catenin and adhesion signaling pathways, though its precise mechanisms and interacting partners remain unresolved. An improved understanding of LGR5 signaling may provide invaluable insight into its intricate and important functions in cancer progression. Moreover, several LGR5-targeting therapies, including peptibody- and antibody-drug conjugates and bispecific antibodies, are showing promising efficacy and tolerability in colorectal cancer and other tumor types. This …

Claudins Interact With Lilrb Immune Inhibitory Receptors To Promote Myeloid Immunosuppression In Cancer, Xiaoye Liu, Ryan Huang, Zhiqiang Ku, Jingjing Xie, Heyu Chen, Yubo He, Qi Lou, Chengcheng Zhang, Xing Yang, Cheryl Lewis, Jade Homsi, Ankit Gupta, Lei Dong, Kenian Chen, Annabel Tu, Liming Du, Hailong Yu, Qing Hu, Meng Fang, Bufan Li, A E M Adan Khan, Caroline Simith, Samuel John, Lin Xu, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

The Brown Foundation: Institute of Molecular Medicine

The mechanisms underlying tumor cell-myeloid cell interactions in the tumor microenvironment (TME) remain unclear, and predictive biomarkers for patient response to myeloid checkpoint blockade are lacking. This study identified specific binding between tight junction claudins (CLDNs) and leukocyte immunoglobulin-like receptor subfamily B2 (LILRB2) and LILRB5. In multiple human cancer cohorts, the spatial proximity of LILRB2-positive macrophages to CLDN-expressing cancer cells correlated with clinical outcomes, highlighting this spatial relationship as a potential biomarker. In syngeneic LILRB2-transgenic and humanized mouse models, CLDN18.2-LILRB2 interactions triggered bidirectional signaling, enhanced the immunosuppressive activity of myeloid cells, and accelerated tumor progression. These effects were reversed by …

Bdcd: A Comprehensive Brain Disease Cell-Cell Communication Database, Xinyi Liu, Citu Citu, Wendao Liu, Nitesh Enduru, Andi Liu, Chia-Hao Tung, Zhongming Zhao

Faculty, Staff and Student Publications

Dysregulated cell–cell communication (CCC) is increasingly recognized as a driver of brain disease pathology, contributing to neuroinflammation, synaptic dysfunction, and neurodegeneration. Nevertheless, existing resources remain limited in brain specificity, regional coverage, and functional annotation. To address this gap, we develop the Brain Disease Cell-cell communication Database (BDCD), the first comprehensive resource focused on CCC networks across major brain diseases. BDCD integrates 38 manually curated datasets, comprising 8 519 425 single cells from single-cell RNA-seq studies and 140 744 spots from spatial transcriptomic maps, spanning 14 brain regions and 13 canonical cell types covering Alzheimer’s disease, Parkinson’s disease, schizophrenia, bipolar disorder, …

Instrumental Avoidance Promotes Safety Learning Across Distributed Neural Circuits, Zhenfu Wen, Lihan Cui, Muhammad Badarnee, Kai Zhang, Isabel Moallem, Hannah Mcmanus, Zakiya Atiyah, Joseph Borrelli, Wen Li, L Elliot Hong, Peter Kochunov, Mohammed R Milad

Faculty, Staff and Student Publications

Background: Instrumental avoidance is a coping strategy that plays a critical role in anxiety and trauma-related disorders. Yet, the neural mechanisms supporting instrumental avoidance and its interaction with extinction learning remain incompletely understood.

Methods: Fifty-nine healthy adults completed a two-day fMRI paradigm including Pavlovian threat conditioning, avoidance learning, extinction, and memory recall. Subjective reports measuring the 'fear ratings' for each CS were administered and analyzed across all experimental phases. Neural responses were analyzed using univariate general linear modeling and multivariate pattern analysis with a validated threat/safety decoder. To assess generalizability, the analysis pipeline was repeated in an independent cohort (n=59) …