Digital Commons Network^™

Human And Mouse Alzheimer's Seeds Differentially Affect Amyloid Deposition And Microglia-Dependent Plaque Response In Aged Mice, Juana Andreo-Lopez, Cristina Nuñez-Diaz, Kelly Do Huynh, Marie Minh Thu Nguyen, Celia Da Cunha, Francisco J Cantero-Molina, Cynthia Campos-Moreno, Stefania Zimbone, Francesco Bellia, Maria Laura Giuffrida, Laura Trujillo-Estrada, Juan Antonio Garcia-Leon, Miriam Bettinetti-Luque, Nazaret Gamez, Catalina Valdes, Rodrigo Morales, Stefania Forner, Alessandra C Martini, Antonia Gutierrez, Frank M Laferla, David Baglietto-Vargas

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a complex neurodegenerative proteinopathy in which Aβ and tau misfold and aggregate into entities that structurally unsettle native proteins, mimicking a prion-like or "seeding" process. These Aβ and tau "seeds" can arrange in different conformations or strains that might display distinct pathogenic properties. Furthermore, recent evidence suggests that microglia play a key role in the amyloidogenic event and can modulate the propagation and aggregation processes. Here, we employed histological and molecular approaches to determine whether seeds from human AD brains compared to those from transgenic mice (3xTg-AD) are more prone to induce Aβ and tau aggregates …

The Glycosyltransferase Poglut1 Regulates Muscle Stem Cell Development And Maintenance In Mice, Soomin Cho, Emilia Servián-Morilla, Victoria Navarro, Beatriz Rodriguez-Gonzalez, Youxi Yuan, Raquel Cano, Arjun A Rambhiya, Radbod Darabi, Robert S Haltiwanger, Carmen Paradas, Hamed Jafar-Nejad

Faculty, Staff and Students Publications

Mutations in protein O-glucosyltransferase 1 (POGLUT1) cause a recessive limb-girdle muscular dystrophy (LGMDR21) with reduced satellite cell number and NOTCH1 signaling in adult patient muscles and impaired myogenic capacity of patient-derived muscle progenitors. However, the in vivo roles of POGLUT1 in the development, function, and maintenance of satellite cells are not well understood. Here, we show that conditional deletion of mouse Poglut1 in myogenic progenitors leads to early lethality, postnatal muscle growth defects, reduced Pax7 expression, abnormality in muscle extracellular matrix, and impaired muscle repair. Poglut1-deficient muscle progenitors exhibit reduced proliferation, enhanced differentiation, and accelerated fusion into myofibers. Inducible loss …

Inhibition Of Methylthioadenosine Phosphorylase Protects From Experimental Acute Kidney Injury, Afaf Saliba, Yidong Chen, Jonathan W Nelson, Abhinav Vetcha, Wei Wei Wang, Li Kang, Nagarjunachary Ragi, Soumya Maity, Hamid Rabb, W Brian Reeves, Kumar Sharma

Faculty, Staff and Student Publications

Methylthioadenosine phosphorylase (MTAP) is a key enzyme in purine metabolism that may influence cellular responses to injury. We evaluated the effects of prophylactic MTAP inhibition in mouse models of ischemia-reperfusion and cisplatin-induced acute kidney injury (AKI). MTAP inhibition was confirmed by accumulation of methylthioadenosine (MTA). Treated mice showed reduced renal injury and decreased tubular damage. Transcriptomic analysis revealed protection from inflammatory and stress pathways, while maintaining oxidative phosphorylation, fatty acid metabolism, and epithelial integrity-related genes. Analysis of human single-cell RNA-seq data from the Kidney Precision Medicine Project indicated that MTAP is highly expressed in kidney injury marker-positive adaptive proximal tubule …

Associative Coding Of Conditioned Fear In The Thalamic Nucleus Reuniens In Rodents And Humans, Tuğçe Tuna, Michael S Totty, Muhammad Badarnee, Flávio Afonso Gonçalves Mourão, Shaun Peters, Mohammad R Milad, Stephen Maren

Faculty, Staff and Student Publications

The nucleus reuniens (RE) is a midline thalamic structure interconnecting the medial prefrontal cortex (mPFC) and the hippocampus (HPC). Recent work in both rodents and humans implicates the RE in the adaptive regulation of emotional memories, including the suppression of learned fear. However, the neural correlates of aversive learning in the RE of rodents and humans remain unclear. To address this, we recorded RE activity in humans (BOLD fMRI) and rats (fiber photometry) during Pavlovian fear conditioning and extinction. In both rats and humans, we found that conditioned stimulus (CS)-evoked activity in RE reflects the associative value of the CS. …

Associations Between Prostate Cancer And Dementia: A Nationwide Study In Sweden, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Jingkai Wei, Weiva Sieh, Kristina Sundquist

Faculty, Staff and Student Publications

Background and objective: Prostate cancer (PC) and dementia may commonly co-occur; yet, prior evidence for bidirectional associations is inconsistent. This study aims to determine the associations between PC and dementia in large population-based studies, which may further inform clinical care.

Methods: To assess the dementia risk in men with PC, a national cohort study was conducted in 178 746 men diagnosed with PC in 1998-2017 and 1 787 460 age-matched control men in Sweden without prior dementia. Cox regression was used to estimate hazard ratios (HRs) for Alzheimer's disease (AD) and vascular dementia (VaD) through 2018. Subanalyses explored differences by …

Master Protocol Design With Hybrid Control For Efficient Early-Phase Trial Consolidation, Alexander M Kaizer, Xiaojiang Zhan, Eric Baron, Rui Sammi Tang, David S Hong, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Master protocols represent transformations, enabling multiple therapies or diseases under a single protocol. These designs streamline therapeutic development by reducing redundancies. Suited for evolving fields such as oncology and global emergencies such as the COVID-19 pandemic, master protocols have been exemplified by studies such as RECOVERY, Solidarity, and I-SPY 2, which accelerated effective treatment identification (with I-SPY 2 focused on molecular subtypes). Recent oncology examples, such as MORPHEUS, evaluate immunotherapy combinations with shared controls. Despite advantages, their application in early-phase oncology remains underutilized amid growing regulatory emphasis on randomization for robust evidence.

Methods: US Food and Drug Administration (FDA) …

White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

Nanotechnology For Immuno-Oncology, Adam J Grippin, Daeyong Lee, Eileen E Parkes, Wen Jiang, Betty Y S Kim

Faculty, Staff and Student Publications

Although the first generation of cancer immunotherapeutics produced unprecedented improvements in clinical outcomes for individuals with cancer, novel strategies to increase treatment specificity, delivery efficiency and pharmacokinetics are still needed. In this Review, we describe the potential advantages and current limitations of nanomaterials for cancer immunotherapy and highlight rational uses of nanosystems to generate potent and durable antitumor immune responses. We close with a review of the current state of clinical development of nanomedicine for cancer immunotherapy.

The Significance Of Detecting An Unusual Myeloblast Immunophenotype In A Presumptive Clinical Diagnosis Of Myelodysplastic Syndromes, Fnu Sameeta, Wei Wang, Fatima Zahra Jelloul, Okechukwu V Nwogbo, Beenu Thakral, Jie Xu, Shaoying Li, Chi Young Ok, Guilin Tang, Fuli Jia, L Jeffrey Medeiros, Sanam Loghavi, Jeffrey L Jorgensen, Sa A Wang

Faculty, Staff and Student Publications

Context.—: Blasts in myelodysplastic syndromes (MDSs) typically have a primitive myeloid immunophenotype (CD34+CD117+CD13+CD33+HLA-DR+). On rare occasions, blasts were found to be CD34 negative or minimally expressed in a presumptive MDS.

Objective.—: To investigate the occurrence of these cases, and to examine any unique molecular genetic features, and clinical relevance.

Design.—: More than 2000 flow cytometry immunophenotyping tests for MDS performed during a 5-year period were retrospectively reviewed. Chronic myelomonocytic leukemia and overt acute myeloid leukemia (AML) (≥20% blasts) were excluded.

Results.—: Approximately 800 cases had abnormal myeloblasts consistent with myeloid neoplasms; 96% of cases showed a typical primitive phenotype, but …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Gd3 Synthase Drives Resistance To P53-Induced Apoptosis In Breast Cancer By Modulating Mitochondrial Function, Vivek Anand, Fouad El-Dana, Natalia Baran, Jenny Borgman, Zheng Yin, Hong Zhao, Stephen T Wong, Michael Andreeff, V Lokesh Battula

Faculty, Staff and Student Publications

TP53 mutations are common in breast cancer (BC) and are associated with poor prognosis. GD3 synthase (GD3S/ST8SIA1), a gene associated with breast cancer stem cells, is upregulated in tumors with p53 mutations. However, the functional relationship between GD3S and p53 is unknown. Here, we show that GD3S levels are highest in breast tumors with specific p53 mutations. Functional studies revealed that wild-type (WT) p53 inhibits GD3S expression, whereas mutation in p53 enhances GD3S expression by upregulating GD3S promoter activity. Moreover, we found that GD3S inhibits wild-type p53-induced apoptosis in BC cells, while BC cells harboring gain-of-function p53 mutations are dependent …

Dynamic Long-Term Prediction With Intermediate Event Information: A Flexible Model With Bivariate Time-Varying Coefficients, Yunyi Wang, Wen Li, Ruosha Li, Jing Ning

Faculty, Staff and Student Publications

The integration of time-to-intermediate event data and the evolving characteristics of patients to enhance long-term prediction has garnered significant interest, driven by the wealth of data generated from longitudinal cohorts. In this paper, we propose sequential/dynamic prediction rules by using regression models with time-varying coefficients. We introduce a class of dynamic models that not only incorporates intermediate event information but also leverages information across different landmark times. To address the challenge of right-censoring, we employ an inverse weighting technique in the estimation process. We establish the asymptotic properties of the estimated parameters and conduct extensive simulations to assess the finite …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

Patient, Physician, And Assessor Blinding In Phase Iii Randomized Trials In Oncology: A Meta-Epidemiological Analysis, Gabrielle Brown, Pavlos Msaouel, Avital M Miller, Ramez Kouzy, Timothy A Lin, Joseph Abi Jaoude, Ethan B Ludmir, Alexander D Sherry

Faculty, Staff and Student Publications

Background: Blinding mitigates bias in randomized trials and may be especially crucial for surrogate endpoints, such as progression-free survival (PFS). Here, we characterize utilization of and factors associated with blinding in Phase III oncology trials with PFS primary endpoints.

Methods: Two-arm, superiority-design trials investigating systemic therapy were identified in May 2024 from ClinicalTrials.gov with no date limitation. Trials were required to have a PFS primary endpoint. The study outcomes were the presence of double-blind designs and blinded independent central review (BICR) for the primary endpoint. Ninety-five percent credible intervals for binary outcomes were estimated from beta distributions, and multivariable logistic …

Tert Promoter Mutations And Survival Outcomes In Adult-Type Granulosa Cell Tumors, Allison L Brodsky, Alejandra Flores Legarreta, Bryan M Fellman, Deanna Glassman, Jeffrey How, Veena Vuttaradhi, Anil K Sood, Lois Michelle Ramondetta, David Gershenson, R Tyler Hillman

Faculty, Staff and Student Publications

Objectives: To evaluate survival outcomes among patients with adult-type granulosa cell tumors who have telomerase reverse transcriptase (TERT) promoter mutations.

Methods: This is a retrospective cohort study using the MD Anderson Rare Gynecologic Malignancy Registry. Patients with adult granulosa cell tumors who underwent molecular testing for TERT promoter and FOXL2 c.C402G mutations were included. We used descriptive statistics to compare demographic and clinical variables and estimated progression-free and overall survival with Kaplan-Meier curves. Cox proportional hazards regression and log-rank tests were employed for comparisons, with multivariable analyses adjusting for various factors.

Results: Among 70 patients, 28 (40%) had TERT+ tumors. …

Nature-Inspired Metaheuristics For Optimizing Dose-Finding And Computationally Challenging Clinical Trial Designs, Weng Kee Wong, Yevgen Ryeznik, Oleksandr Sverdlov, Ping-Yang Chen, Xinying Fang, Ray-Bing Chen, Shouhao Zhou, J Jack Lee

Faculty, Staff and Student Publications

Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters …

Optimization Of Mhealth Behavioral Interventions For Patients With Chronic Lymphocytic Leukemia: The Health4cll Study, Che Young Lee, Max J Gordon, Melissa M Markofski, Emily C Lavoy, Susan K Peterson, Liang Li, Sara Fares, Miranda Baum, Margaret Pace, Danielle Walsh, Alessandra Ferrajoli, Karen Basen-Engquist

Faculty, Staff and Student Publications

Purpose: This pilot study of a diet and physical activity intervention (HEALTH4CLL) was conducted to reduce fatigue and improve physical function (PF) in patients with chronic lymphocytic leukemia (CLL).

Methods: The HEALTH4CLL study used a randomized factorial design based on the multiphase optimization strategy (MOST). Patients received diet, exercise, and body weight management instructional materials plus a Fitbit and were randomized to undergo one of 16 combinations of 4 evidence-based mHealth intervention strategies over 16 weeks. Patients' fatigue, PF, health-related quality of life, behavior changes, and program satisfaction and retention were assessed. Paired t-tests were used to examine changes in …

Acquired Resistance In Cancer: Towards Targeted Therapeutic Strategies, Alice Soragni, Erik S Knudsen, Thomas N O'Connor, Cristina E Tognon, Jeffrey W Tyner, Beatrice Gini, Donghwa Kim, Trever G Bivona, Xingxing Zang, Agnieszka K Witkiewicz, David W Goodrich, Dadi Jiang, Seth T Gammon, Christopher D Willey, Paul C Boutros, Vlad C Sandulache, Abdullah A Osman, Jeffrey N Myers, Kamiya Mehla, Pankaj K Singh, Keith S Chan, Hongbo Gao, Himangi Marathe

Faculty, Staff and Student Publications

Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incompletely understood. Novel strategies that address and overcome the various and complex resistance mechanisms necessitate a deep understanding of the underlying dynamics. We are at a crucial time when innovative technologies applied to patient-relevant tumour models have the potential to bridge the gap between fundamental research into mechanisms and timing of acquired resistance and clinical applications that translate these findings into actionable strategies to extend therapy efficacy. …

Computed Tomography Radiomics-Based Cross-Sectional Detection Of Mandibular Osteoradionecrosis In Head And Neck Cancer Survivors, Serageldin Kamel, Laia Humbert-Vidan, Zaphanlene Kaffey, Sarah Mirbahaeddin, Abdulrahman Abusaif, David T A Fuentes, Kareem Wahid, Cem Dede, Mohamed A Naser, Renjie He, Ahmed W Moawad, Khaled M Elsayes, Melissa M Chen, Adegbenga O Otun, Jillian Rigert, Mark S Chambers, Andrew Hope, Erin Watson, Kristy K Brock, Katherine Hutcheson, Lisanne Van Dijk, Amy C Moreno, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed, Md Anderson Head And Neck Cancer Symptom Working Group

Faculty, Staff and Student Publications

Purpose: This study aims to identify radiomic features from contrast-enhanced CT (CECT) scans that differentiate osteoradionecrosis (ORN) from normal mandibular bone in head and neck cancer (HNC) patients treated with radiotherapy (RT).

Materials and methods: CECT images from 150 patients with confirmed ORN diagnosis (2008-2018) at MD Anderson Cancer Center (MDACC) were analyzed (80 % train, 20 % test). Radiomic features were extracted using PyRadiomics from manually segmented ORN regions and automated contralateral healthy mandible regions. Correlation analysis (r > 0.95) reduced features for model training. A random Forest (RF) classifier with Recursive Feature Elimination identified discriminative features. Explainability was assessed …

Mitophagy’S Impacts On Cancer And Neurodegenerative Diseases: Implications For Future Therapies, Jason Huang, Vincent Truong Pham, Shaozi Fu, Gang Huang, Ya-Guang Liu, Lei Zheng

Faculty, Staff and Student Publications

Substantial evidence supports an inverse relationship between cancer and neurodegenerative diseases (NDDs), but few studies investigate the biological mechanisms underlying this phenomenon. While previous explanations-such as inflammation, reactive oxygen species (ROS), genetic mutations, and cell death-remain significant, they ultimately converge on mitophagy. This review identifies mitophagy as a pivotal factor in the development of both cancer and NDDs, while also evaluating specific mechanisms and processes to clarify how mitophagy connects these opposing disease trajectories. By examining these factors, we aim to uncover the underlying mechanisms that explain the inverse relationship between cancer and NDDs, which will help develop therapeutic strategies …

Genetic Diversity And Expanded Phenotypes In Dystonia: Insights From Large-Scale Exome Sequencing, Mirja Thomsen, Fabian Ott, Sebastian Loens, Gamze Kilic-Berkmen, Ai Huey Tan, Shen-Yang Lim, Ebba Lohmann, Kaja M Schröder, Lea Ipsen, Lena A Nothacker, Linn Welzel, Alexandra S Rudnik, Frauke Hinrichs, Thorsten Odorfer, Kirsten E Zeuner, Friederike Schumann, Andrea A Kühn, Simone Zittel, Marius Moeller, Robert Pfister, Christoph Kamm, Anthony E Lang, Yi Wen Tay, Ana Luísa De Almeida Marcelino, Marie Vidailhet, Emmanuel Roze, Joel S Perlmutter, Jeanne S Feuerstein, Victor S C Fung, Florence Chang, Richard L Barbano, Steven Bellows, Aparna A Wagle Shukla, Alberto J Espay, Mark S Ledoux, Brian D Berman, Stephen Reich, Andres Deik, Andre Franke, Michael Wittig, Sören Franzenburg, Jens Volkmann, Norbert Brüggemann, H A Jinnah, Tobias Bäumer, Christine Klein, Hauke Busch, Katja Lohmann

Faculty, Staff and Students Publications

Objective: Dystonia is one of the most prevalent movement disorders, characterized by significant clinical and etiological heterogeneity. Despite considerable heritability (~25%), the etiology in most patients remains elusive. Moreover, understanding correlations between clinical manifestations and genetic variants has become increasingly complex.

Methods: Exome sequencing was conducted on 1924 genetically unsolved, mainly late-onset isolated dystonia patients, recruited primarily from two dystonia registries (DysTract and the Dystonia Coalition). Rare variants in genes previously linked to dystonia (n = 406) were examined, confirmed via Sanger sequencing, and analyzed for segregation when possible.

Results: We identified 137 distinct likely pathogenic/pathogenic variants (according to ACMG …

Insights Into The Molecular Mechanism Of Pulmonary Vein Stenosis In Pediatric Patients With Congenital Heart Disease, Alyssa B Kalustian, Pengfei Ji, Lalita Wadhwa, Christopher A Caldarone, Manish Bansal, Athar M Qureshi, Jeffrey S Heinle, Ravi K Birla

Faculty, Staff and Students Publications

Objective: Pediatric pulmonary vein stenosis (PVS) is associated with substantial morbidity and mortality for the subset of patients with recurrent or progressive disease. The molecular mechanisms underlying the development and trajectory of PVS remain unclear. This study characterizes the transcriptome of clinical and phenotypic subtypes of PVS.

Methods: Bulk RNA sequencing analysis was performed on human pulmonary vein tissue samples obtained from surgical interventions for pediatric patients with PVS. Transcriptomic profiles were compared for primary versus postrepair PVS as well as aggressive versus nonaggressive clinical phenotypes. Principal component analysis was performed, the differential gene expression quantified, and pathway analysis conducted …

The Microrna Mir-30a Blocks Adipose Tissue Fibrosis Accumulation In Obesity, Pradip K Saha, Robert Sharp, Aaron R Cox, Rabie Habib, Michael J Bolt, Jessica B Felix, Claudia E Ramirez Bustamante, Xin Li, Sung Yun Jung, Kang Ho Kim, Kai Sun, Huaizhu Wu, Samuel Klein, Sean M Hartig

Faculty, Staff and Student Publications

White adipose tissue (WAT) fibrosis occurring in obesity contributes to the inflammatory and metabolic comorbidities of insulin resistance and type 2 diabetes, yet the mechanisms involved remain poorly understood. Here, we report a role for the broadly conserved miRNA miR-30a as a regulator of WAT fibrosis and systemic glucose metabolism. Mice modified to express miR-30a at elevated levels in adipose tissues maintain insulin sensitivity coupled with reduced fatty liver disease when fed a high-fat diet. These effects were attributable to cell-autonomous functions of miR-30a that potently increase expression of adipocyte-specific genes. Proteomic screening revealed miR-30a limits profibrotic programs in subcutaneous …

Nerve-To-Cancer Transfer Of Mitochondria During Cancer Metastasis, Gregory Hoover, Shila Gilbert, Olivia Curley, Clémence Obellianne, Mike T Lin, William Hixson, Terry W Pierce, Joel F Andrews, Mikhail F Alexeyev, Yi Ding, Ping Bu, Fariba Behbod, Daniel Medina, Jeffrey T Chang, Gustavo Ayala, Simon Grelet

Faculty, Staff and Students Publications

The nervous system has a pivotal role in cancer biology, and pathological investigations have linked intratumoural nerve density to metastasis1. However, the precise impact of cancer-associated neurons and the communication channels at the nerve–cancer interface remain poorly understood. Previous cancer denervation models in rodents and humans have highlighted robust cancer dependency on nerves, but the underlying mechanisms that drive nerve-mediated cancer aggressivity remain unknown2,3. Here we show that cancer-associated neurons enhance cancer metabolic plasticity by transferring mitochondria to cancer cells. Breast cancer denervation and nerve–cancer coculture models confirmed that neurons significantly improve tumour energetics. …

Effective Algorithm To Differentiate Nbs Mcadd Cases From Carriers And Non-Carriers And An Assessment Of The Utility Of The Second Newborn Screen For Mcadd, Matthew T Snyder, Kristian Divin, Ning Liu, Qin Sun, Yue Wang, Xi Luo, Yishay Ben-Moshe, Lindsay C Burrage, V Reid Sutton

Faculty, Staff and Students Publications

False positives are an inherent part of newborn screening that can increase both costs to the healthcare system and parental anxiety. Previous studies primarily examined presumptive positive rates for medium-chain acyl-CoA dehydrogenase deficiency (MCADD) in places conducting one newborn screen (NBS), with predominantly white, non-Hispanic subjects. Texas performs two NBSs and there is a majority Hispanic population in our region. This study aims to analyze biochemical and DNA data to more easily distinguish affected individuals from carriers or healthy non-carriers and identify benefits and challenges of a second NBS for MCADD. Biochemical and targeted DNA data from NBS dried blood …

Disruption Of The Cerebrospinal Fluid-Plasma Protein Balance In Cognitive Impairment And Aging, Amelia Farinas, Daniel Western, Jigyasha Timsina, Carlos Cruchaga, Et Al.

2020-Current year OA Pubs

The brain barrier system, including the choroid plexus, meninges and brain vasculature, regulates substrate transport and maintains differential protein concentrations between blood and cerebrospinal fluid (CSF). Aging and neurodegeneration disrupt brain barrier function, but proteomic studies of the effects on blood-CSF protein balance are limited. Here we used SomaScan proteomics to characterize paired CSF and plasma samples from 2,171 healthy or cognitively impaired older individuals from multiple cohorts, including the Global Neurodegeneration Proteomics Consortium. We identified proteins with correlated CSF and plasma levels that are produced primarily outside the brain and are enriched for structural domains that may enable their …

The Microrna Mir-30a Blocks Adipose Tissue Fibrosis Accumulation In Obesity, Pradip K Saha, Robert Sharp, Aaron R. Cox, Rabie Habib, Michael J. Bolt, Jessica B. Felix, Claudia E. Ramirez Bustamante, Xin Li, Sung Yun Jung, Kang Ho Kim, Kai Sun, Huaizhu Wu, Samuel Klein, Sean M. Hartig

2020-Current year OA Pubs

White adipose tissue (WAT) fibrosis occurring in obesity contributes to the inflammatory and metabolic comorbidities of insulin resistance and type 2 diabetes, yet the mechanisms involved remain poorly understood. Here, we report a role for the broadly conserved miRNA miR-30a as a regulator of WAT fibrosis and systemic glucose metabolism. Mice modified to express miR-30a at elevated levels in adipose tissues maintain insulin sensitivity coupled with reduced fatty liver disease when fed a high-fat diet. These effects were attributable to cell-autonomous functions of miR-30a that potently increase expression of adipocyte-specific genes. Proteomic screening revealed miR-30a limits profibrotic programs in subcutaneous …

Prevalence Of Fibrosis In Hepatic Explants And Biopsies From Individuals With Urea Cycle Disorders, Saima Ali, Aisha Nisar, Anqing Zhang, Sandesh Nagamani, Nathalie M Aceves-Ewing, Brandy Rawls, Thu Quan, Greg Enns, John Goss, Daniel H Leung, Benjamin L Shneider, Shilpa Jain, Florette K Hazard, Deborah Schady, Lindsay C Burrage

Faculty, Staff and Students Publications

Background: Various forms of liver disease have been increasingly reported in individuals with urea cycle disorders (UCDs). In this study, we performed the first systematic and standardized histopathological assessment of the prevalence of fibrosis and steatosis in a large sample of hepatic explants and biopsies from individuals with UCDs at two liver transplantation centers.

Methods: Sixty-seven hepatic tissue samples from 66 individuals with UCDs were staged by two pathologists for hepatic fibrosis and steatosis using standard scoring systems at two large liver transplantation centers in the United States. Histopathological findings were correlated with clinical parameters, including UCD type, laboratory parameters, …

The 2024 Think Tank On Prevention Of Sudden Cardiac Death In The Young: Pathway To Survival A Report From The Cardiac Safety Research Consortium, Jordan E Ezekian, Charles C Anderson, Peter F Aziz, Samia Baluch, Stuart Berger, Martha Lopez-Anderson, Vincent Miller, Yoshihide Mitani, Silvana Molossi, Valarie Morrow, Victoria L Vetter, Elizabeth Vickers Saarel, Bhavya Trivedi, Salim F Idriss, 2024 Think Tank Participants

Faculty, Staff and Students Publications

Sudden cardiac arrest and death in the young is a critical public health issue. It occurs in children of any age, sex, racial or ethnic demographic, or socioeconomic status. Importantly, it can affect any individual-athlete and nonathlete alike. Prevention of sudden death in the young is of high importance not only because of the loss of a young life but also because of the substantial impact to families and to society at large. This White Paper summarizes the proceedings of a third national Think Tank on prevention of sudden cardiac death in the young. The Think Tank, which convened on …

Data-Driven Approach To Dynamic Resting State Functional Connectivity In Post-Traumatic Stress Disorder: An Enigma-Pgc Ptsd Study, Carissa W Tomas, Jacklynn M Fitzgerald, C Lexi Baird, Courtney C Haswell, Chadi G Abdallah, Michael Angstadt, Justin T Baker, Hannah Berg, Jennifer U Blackford, Josh Cisler, Andrew S Cotton, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Terri A Deroon-Cassini, Seth G Disner, Wissam El Hage, Negar Fani, Jessie L Frijling, Evan M Gordon, Daniel W Grupe, Xiaofu He, Ryan Herringa, David Hofmann, Ashley A Huggins, Ahmed Hussain, Jonathan Ipser, Neda Jahanshad, Tanja Jovanovic, Milissa L Kaufman, Yoojean Kim, Anthony King, Saskia B J Koch, Sheri Koopowitz, Amit Lazarov, Lauren A M Lebois, Isreal Liberzon, Shmuel Lissek, Antje Manthey, Geoffrey May, Katie A Mclaughlin, Laura Nawijn, Steven M Nelson, Yuval Neria, Jack B Nitschke, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, Yann Quidé, Orren Ravid, Kerry Ressler, Marisa Ross, Lauren E Salminen, Kelly Sambrook, Chiahao Shih, Anika Sierk, Scott R Sponheim, Dan J Stein, Jennifer Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Paul M Thompson, Nic J A Van Der Wee, Steven J A Van Der Werff, Sanne J H Van Rooij, Mirjam Van Zuiden, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Xin Wang, Hong Xie, Xi Zhu, Sigal Zilcha-Mano, Christine L Larson, Rajendra Morey

Faculty, Staff and Students Publications

Using functional magnetic resonance imaging (fMRI), symptoms of posttraumatic stress disorder (PTSD) have been associated with aberrations in brain networks in the absence of a given cognitive demand or task, called resting-state networks. Prior work has focused on disruption in the static functional connectivity (FC) among specific regions constrained by a priori hypotheses. However, dynamic FC, an approach that examines brain network characteristics over time, may provide a more sensitive measure to understand the network properties underlying dysfunction in PTSD. Further, using a data-driven analytic approach may reveal the contribution of other larger network disturbances beyond those revealed by hypothesis-driven …