Medicine and Health Sciences Commons^™

Insulin-Like Growth Factor Binding Protein-3 (Igfbp-3): A Biomarker Of Coronary Artery Disease Induced Myocardial Ischaemia, Jacqui A Lee, Jessika Wise, Sara D Raudsepp, Louise N Paton, Jan Powell, Kieran Jina, Sally Aldous, Richard W Troughton, Philip D Adamson, A Mark Richards, W Frank Peacock, James L Januzzi, Noah Erceg, Luca Koechlin, Jasper Boeddinghaus, Pedro Lopez-Ayala, Christian Mueller, Martin P Than, John W Pickering, Chris J Pemberton

Faculty, Staff and Students Publications

Aims: Among individuals presenting to the emergency department (ED) with chest pain, clinical uncertainty surrounds the appropriate identification of non-myocardial infarction (MI) individuals who would most benefit from objective functional/anatomical testing (e.g. imaging). We applied a proteomic biomarker discovery approach to identify novel candidates reflecting coronary artery disease (CAD) induced ischaemia that could translate to measurement in clinical samples.

Methods and results: Mass spectroscopy (MS) of perfusate from an isolated rat heart model of cardiac ischaemia identified >100 novel protein biomarkers. A prominent candidate, insulin-like growth factor binding protein (IGFBP-3), was then interrogated for its ability to identify CAD-related ischaemia …

Should All Pediatric Patients With Type 1 Autoimmune Hepatitis Be Screened For Inflammatory Bowel Disease?, Richard Kellermayer

Faculty, Staff and Students Publications

No abstract provided.

Effects Of Amoxicillin Dosage On Cure Rate, Gut Microbiota, And Antibiotic Resistome In Vonoprazan And Amoxicillin Dual Therapy For Helicobacter Pylori: A Multicentre, Open-Label, Non-Inferiority Randomised Controlled Trial, Yi Hu, Zhen-Yu Zhang, Fen Wang, Kun Zhuang, Xin Xu, Dong-Sheng Liu, Hui-Zhen Fan, Li Yang, Kui Jiang, De-Kui Zhang, Long Xu, Jian-Hua Tang, Xue-Mei Liu, Cong He, Xu Shu, Yong Xie, James Y W Lau, Yin Zhu, Yi-Qi Du, David Y Graham, Nong-Hua Lu

Faculty, Staff and Students Publications

Background: Vonoprazan and amoxicillin (VA) dual therapy as a mainstream Helicobacter pylori regimen has gained momentum worldwide, but the optimum dosages remain unclear. We aimed to compare the efficacy and safety of VA dual therapy with 2 g amoxicillin or 3 g amoxicillin, and to assess the short-term effects of therapy on the gut microbiota and antibiotic resistome.

Methods: We conducted an open-label, non-inferiority randomised controlled trial at 12 centres in China. Individuals infected with H pylori, aged 18-70 years, and without previous eradication therapy were recruited. Participants were randomly assigned at a 1:1 ratio (block size of six) to …

Neuro-Ophthalmic Complications Following Eighth Cranial Nerve Microvascularx Decompression, Stanley M Saju, Patrick J Hunt, Pamela Davila-Siliezar, Noor Laylani, Andrew G Lee

Faculty, Staff and Students Publications

Purpose: To discuss a novel diagnosis of post-surgical iatrogenic AICA vasospasm following eighth cranial nerve microvascular decompression as the most likely etiology for a lateral pontine infarct.

Observations: A 49-year-old male presented with tinnitus, vertigo, binocular and monocular diplopia following left occipital decompressive craniectomy and microvascular decompression of cranial nerve VIII. Magnetic resonance imaging demonstrated patent vasculature with evolution of a subacute infarct of the left lateral pons and middle cerebellar peduncle in the territory of the left AICA.

Conclusions: We report a unique case of lateral pontine infarction without vascular occlusion acutely following surgical microvascular decompression of CN VIII, …

Learning Soft Tissue Deformation From Incremental Simulations, Nathan Lampen, Daeseung Kim, Xuanang Xu, Xi Fang, Jungwook Lee, Tianshu Kuang, Hannah H Deng, Michael A K Liebschner, Jaime Gateno, Pingkun Yan

Faculty, Staff and Students Publications

Background: Surgical planning for orthognathic procedures demands swift and accurate biomechanical modeling of facial soft tissues. Efficient simulations are vital in the clinical pipeline, as surgeons may iterate through multiple plans. Biomechanical simulations typically use the finite element method (FEM). Prior works divide FEM simulations into increments to enhance convergence and accuracy. However, this practice elongates simulation time, thereby impeding clinical integration. To accelerate simulations, deep learning (DL) models have been explored. Yet, previous efforts either perform simulations in a single step or neglect the temporal aspects in incremental simulations.

Purpose: This study investigates the use of spatiotemporal incremental modeling …

Tuberculosis In Adult Migrants In Europe: A Tbnet Consensus Statement, Heinke Kunst, Berit Lange, Olga Hovardovska, Annabelle Bockey, Dominik Zenner, Aase B Andersen, Sally Hargreaves, Manish Pareek, Jon S Friedland, Christian Wejse, Graham Bothamley, Lorenzo Guglielmetti, Dumitru Chesov, Simon Tiberi, Alberto Matteelli, Anna M Mandalakas, Jan Heyckendorf, Johannes Eimer, Akanksha Malhotra, Javier Zamora, Anca Vasiliu, Christoph Lange, Tbnet

Faculty, Staff and Students Publications

INTRODUCTION: Global migration has increased in recent decades owing to war, conflict, persecution and natural disasters, but also secondary to increased opportunities related to work or study. Migrants' risk of tuberculosis (TB) differs depending on migration, socioeconomic status, mode of travel and TB risk in transit, TB incidence and healthcare provision in country of origin. Despite advances in TB care for migrants and new treatment strategies, decisions for managing migrants at risk of TB often rely on expert opinions, rather than clinical evidence.

METHODS: A systematic literature search was conducted, studies were mapped to different recommendation groups and included studies …

A Multicenter Training And Interrater Reliability Study Of The Based Score For Infantile Epileptic Spasms Syndrome, John R Mytinger, Dara V F Albert, Shawn C Aylward, Christopher W Beatty, Sonam Bhalla, Sonal Bhatia, Guy N Brock, Micheal A Ciliberto, Purva R Choudhari, Daniel J Clark, Jennifer Madan Cohen, Theresa M Czech, Megan M Fredwall, Ernesto Gonzalez-Giraldo, Chellamani Harini, Senyene E Hunter, Amanda G Sandoval Karamian, Akshat Katyayan, Isaac Kistler, Neil Kulkarni, Virginia B Liu, Corinne Mccabe, Thomas Murray, Kerri Neville, Shital H Patel, Spriha Pavuluri, Donald J Phillips, Debopam Samanta, Deepa Sirsi, Emily M Spelbrink, Carl E Stafstrom, Maija Steenari, Danielle S Takacs, Tyler Terrill, Linh Tran, Jorge Vidaurre, Daniel W Shrey

Faculty, Staff and Students Publications

PURPOSE: The best possible outcomes in infantile epileptic spasms syndrome require electroclinical remission; however, determining electrographic remission is not straightforward. Although the determination of hypsarrhythmia has inadequate interrater reliability (IRR), the Burden of AmplitudeS and Epileptiform Discharges (BASED) score has shown promise for the reliable interictal assessment of infantile epileptic spasms syndrome. Our aim was to develop a BASED training program and assess the IRR among learners. We hypothesized moderate or better IRR for the final BASED score and the presence or absence of epileptic encephalopathy (+/-EE).

METHODS: Using a web-based application, 31 learners assessed 12 unmarked EEGs (length 1-6 …

Thalamic Deep Brain Stimulation Improves Movement In A Cerebellar Model Of Lesion-Based Status Dystonicus, Megan X Nguyen, Amanda M Brown, Tao Lin, Roy V Sillitoe, Jason S Gill

Faculty, Staff and Students Publications

Dystonia is the third most common movement disorder and an incapacitating co-morbidity in a variety of neurologic conditions. Dystonia can be caused by genetic, degenerative, idiopathic, and acquired etiologies, which are hypothesized to converge on a "dystonia network" consisting of the basal ganglia, thalamus, cerebellum, and cerebral cortex. In acquired dystonia, focal lesions to subcortical network regions lead to dystonia that can be difficult to manage with canonical treatments, including deep brain stimulation (DBS). While studies in animal models have begun to parse the contribution of individual nodes in the dystonia network, how acquired injury to the cerebellar outflow tracts …

Targeting The Mycn-Mdm2 Pathways For Cancer Therapy: Are They Druggable?, Wei Wang, Yi Du, Sayantap Datta, Josef F Fowler, Hannah T Sang, Najah Albadari, Wei Li, Jennifer Foster, Ruiwen Zhang

Faculty, Staff and Students Publications

Targeting oncogenes and their interactive partners is an effective approach to developing novel targeted therapies for cancer and other chronic diseases. We and others have long suggested the MDM2 oncogene being an excellent target for cancer therapy, based on its p53-dependent and -independent oncogenic activities in a variety of cancers. The MYC family proteins are transcription factors that also regulate diverse biological functions. Dysregulation of MYC, such as amplification of MYCN, is associated with tumorigenesis, especially for neuroblastoma. Although the general survival rate of neuroblastoma patients has significantly improved over the past few decades, high-risk neuroblastoma still presents a …

Long Covid Illness: Disparities In Understanding And Receipt Of Care In Emergency Department Populations, Robert M Rodriguez, Karen Reyes, Vijaya Arun Kumar, Brian Chinnock, Stephanie A Eucker, Kristin L Rising, Zubaid Rafique, Michael Gottlieb, Graham Nichol, Dana Morse, Melanie Molina, Mireya I Arreguin, Lindsey Shughart, Christopher Conn, Svea Eckstrand, Heba Mesbah, Lauren Chakraborty, Robert D Welch

Faculty, Staff and Students Publications

Study objective: Most long coronavirus disease (long COVID) studies rely on traditional surveillance methods that miss underserved populations who use emergency departments (EDs) as their primary health care source. In medically underserved ED populations, we sought to determine (1) whether there are gaps in awareness and self-declared understanding about long COVID illness, and (2) the prevalence, impact on school/work attendance, and receipt of care for long COVID symptoms.

Methods: This study was a cross-sectional, convenience sample survey study of adult patients at 11 geographically representative US EDs from December 2022 to October 2023. Awareness and self-declared understanding about long COVID …

Optimizing Long-Term Outcomes In Cystinosis With Comprehensive Patient-Centered Care, Ewa Elenberg

Faculty, Staff and Students Publications

No abstract provided.

Cost-Effectiveness Of An Outreach Program For Hcc Screening In Patients With Cirrhosis: A Microsimulation Modeling Study, Tami Gurley, Ruben Hernaez, Vanessa Cerda, Tynaje Thomas, Manasa Narasimman, Sukul Mittal, Mohammed Al-Hasan, Darine Daher, Amit G Singal

Faculty, Staff and Students Publications

Background: Patients with cirrhosis are at high risk for hepatocellular carcinoma (HCC), but few undergo guideline-recommended semi-annual screening. Randomized clinical trials (RCTs) demonstrate that mailed outreach can increase screening versus visit-based screening. We estimated the costs and cost-effectiveness of an outreach strategy versus usual care.

Methods: We built a 10-year Markov chain Monte Carlo microsimulation model to conduct a cost-effectiveness analysis comparing a mailed outreach program versus usual care for HCC screening in a cohort of 10,000 patients with cirrhosis. Model inputs were based on literature review (2005-current), and costs were based on inflation-adjusted estimates from Surveillance, Epidemiology, and End …

County-Level Association Between Modifiable Health Behaviors And Premature Mortality In The United States, Abdul Mannan Khan Minhas, Kashvi Gupta, Erin D Michos, Andrew J Sauer, Laurence Sperling, Vijay Nambi, Layla Abushamat, Christie M Ballantyne, Dmitry Abramov

Faculty, Staff and Students Publications

Objective: Unhealthy lifestyle habits are associated with increased morbidity and mortality. This study aims to examine the county-level association of physical inactivity, insufficient sleep, and current smoking, three elements of the American Heart Association's Life's Essential 8, with premature mortality.

Methods: Premature country-level age-adjusted death rate (AADR) in 2018-2020 were obtained from National Center for Health Statistics Mortality Files. County-level data were included from County Health Rankings data set for 2022. Counties were divided into deciles based on the percentage of adults with physical inactivity, insufficient sleep, and current smoking (separate decile for each metric) from Behavioral Risk Factor Surveillance …

Rising Mortality Rates Linked To Type-2 Diabetes And Obesity In The United States: An Observational Analysis From 1999 To 2022, Mushood Ahmed, Abdullah Nofal, Aimen Shafiq, Hira Javaid, Areeba Ahsan, Zain Ali Nadeem, Raheel Ahmed, Mahboob Alam, Mamas A Mamas, Marat Fudim, Gregg C Fonarow

Faculty, Staff and Students Publications

Background: The prevalence of type 2 diabetes (T2D) and obesity are increasing in the United States. However, population-level data for mortality trends due to T2D and obesity are limited. This study aims to assess these death trends among adults in the United States categorized by sex, race, and geographical location.

Methods: We queried the CDC-WONDER database for multiple cause of death data of adults aged ≥25 years. The crude mortality rates (CMR), age-adjusted mortality rates (AAMRs), annual percent change (APC), and the average APC (AAPC) along with a 95% confidence interval (CI) were analyzed.

Results: From 1999 to 2022, a …

Altered Thermal Preference By Preoptic Estrogen Receptor Alpha Neurons In Postpartum Females, Nan Zhang, Meng Yu, Qianru Zhao, Bing Feng, Yue Deng, Jonathan C Bean, Qingzhuo Liu, Benjamin P Eappen, Yang He, Kristine M Conde, Hailan Liu, Yongjie Yang, Longlong Tu, Mengjie Wang, Yongxiang Li, Na Yin, Hesong Liu, Junying Han, Darah Ave Threat, Nathan Xu, Taylor Smiley, Pingwen Xu, Lulu Chen, Tianshu Zeng, Yanlin He, Chunmei Wang

Faculty, Staff and Students Publications

OBJECTIVE: This study aims to investigate how reproductive experience (RE) alters thermal preference and thermoregulation in female mice, with a focus on estrogen receptor alpha (ERα)-expressing neurons in the preoptic area (POA).

METHODS: Thermal preference and body temperature were measured in female mice with and without RE, and virgin female mice with selective deletion of ERα from the POA (ERα

RESULTS: We showed that female mice prefer a cooler environment starting from late pregnancy and persisting long term postpartum. Female mice with RE (>4 weeks post-weaning) displayed lower body temperature and a lower thermal preferred temperature, and lost preference …

Multiscale 3d Spatial Analysis Of The Tumor Microenvironment Using Whole-Tissue Digital Histopathology, Daniel Shafiee Kermany, Ju Young Ahn, Matthew Vasquez, Weijie Zhang, Lin Wang, Kai Liu, Zhan Xu, Min Soon Cho, Wendolyn Carlos-Alcalde, Hani Lee, Raksha Raghunathan, Jianting Sheng, Xiaoxin Hao, Hong Zhao, Vahid Afshar-Kharghan, Xiang Hong-Fei Zhang, Stephen Tin Chi Wong

Faculty, Staff and Students Publications

No abstract provided.

The Association Between Gulf War Illness And Suicidal Thoughts And Behaviors Among Gulf War Era Veterans, Rachele K Lipsky, Drew A Helmer, Jean C Beckham, Patrick S Calhoun, Mary Jo Pugh, Nathan A Kimbrel

Faculty, Staff and Students Publications

The rate of death by suicide is elevated among Veterans of all eras. Chronic symptoms of pain, depression, and sleep disturbances are also common among Veterans, and these symptoms are associated with suicidal thoughts and behaviors. About 25% of the 697,000 Gulf War Era Veterans deployed to the Persian Gulf theater in 1990-1991 remain afflicted with chronic, unexplained symptoms known as Gulf War Illness (GWI). This study used data from a national sample of Gulf War Veterans (N = 1142) who completed a survey of demographic, military, and health information. Multivariable logistic regression models, controlling for confounding variables, tested for …

Evaluation Of Enzyme Activity Predictions For Variants Of Unknown Significance In Arylsulfatase A, Shantanu Jain, Marena Trinidad, Thanh Binh Nguyen, Kaiya Jones, Santiago Diaz Neto, Fang Ge, Ailin Glagovsky, Cameron Jones, Giankaleb Moran, Boqi Wang, Kobra Rahimi, Sümeyra Zeynep Çalıcı, Luis R Cedillo, Silvia Berardelli, Buse Özden, Ken Chen, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Sadhna Rana, Swatantra Pradhan, Rajgopal Srinivasan, Rakshanda Sajeed, Dinesh Joshi, Eshel Faraggi, Robert Jernigan, Andrzej Kloczkowski, Jierui Xu, Zigang Song, Selen Özkan, Natàlia Padilla, Xavier De La Cruz, Rocio Acuna-Hidalgo, Andrea Grafmüller, Laura T Jiménez Barrón, Matteo Manfredi, Castrense Savojardo, Giulia Babbi, Pier Luigi Martelli, Rita Casadio, Yuanfei Sun, Shaowen Zhu, Yang Shen, Fabrizio Pucci, Marianne Rooman, Gabriel Cia, Daniele Raimondi, Pauline Hermans, Sofia Kwee, Ella Chen, Courtney Astore, Akash Kamandula, Vikas Pejaver, Rashika Ramola, Michelle Velyunskiy, Daniel Zeiberg, Reet Mishra, Teague Sterling, Jennifer L Goldstein, Jose Lugo-Martinez, Sufyan Kazi, Sindy Li, Kinsey Long, Steven E Brenner, Constantina Bakolitsa, Predrag Radivojac, Dean Suhr, Teryn Suhr, Wyatt T Clark

Faculty, Staff and Students Publications

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfatase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning …

Evaluating Predictors Of Kinase Activity Of Stk11 Variants Identified In Primary Human Non-Small Cell Lung Cancers, Yile Chen, Kyoungyeul Lee, Junwoo Woo, Dong-Wook Kim, Changwon Keum, Giulia Babbi, Rita Casadio, Pier Luigi Martelli, Castrense Savojardo, Matteo Manfredi, Yang Shen, Yuanfei Sun, Panagiotis Katsonis, Olivier Lichtarge, Vikas Pejaver, David J Seward, Akash Kamandula, Constantina Bakolitsa, Steven E Brenner, Predrag Radivojac, Anne O'Donnell-Luria, Sean D Mooney, Shantanu Jain

Faculty, Staff and Students Publications

Critical evaluation of computational tools for predicting variant effects is important considering their increased use in disease diagnosis and driving molecular discoveries. In the sixth edition of the Critical Assessment of Genome Interpretation (CAGI) challenge, a dataset of 28 STK11 rare variants (27 missense, 1 single amino acid deletion), identified in primary non-small cell lung cancer biopsies, was experimentally assayed to characterize computational methods from four participating teams and five publicly available tools. Predictors demonstrated a high level of performance on key evaluation metrics, measuring correlation with the assay outputs and separating loss-of-function (LoF) variants from wildtype-like (WT-like) variants. The …

Predicting The Impact Of Rare Variants On Rna Splicing In Cagi6, Jenny Lord, Carolina Jaramillo Oquendo, Htoo A Wai, Andrew G L Douglas, David J Bunyan, Yaqiong Wang, Zhiqiang Hu, Zishuo Zeng, Daniel Danis, Panagiotis Katsonis, Amanda Williams, Olivier Lichtarge, Yuchen Chang, Richard D Bagnall, Stephen M Mount, Brynja Matthiasardottir, Chiaofeng Lin, Thomas Van Overeem Hansen, Raphael Leman, Alexandra Martins, Claude Houdayer, Sophie Krieger, Constantina Bakolitsa, Yisu Peng, Akash Kamandula, Predrag Radivojac, Diana Baralle

Faculty, Staff and Students Publications

Variants which disrupt splicing are a frequent cause of rare disease that have been under-ascertained clinically. Accurate and efficient methods to predict a variant's impact on splicing are needed to interpret the growing number of variants of unknown significance (VUS) identified by exome and genome sequencing. Here, we present the results of the CAGI6 Splicing VUS challenge, which invited predictions of the splicing impact of 56 variants ascertained clinically and functionally validated to determine splicing impact. The performance of 12 prediction methods, along with SpliceAI and CADD, was compared on the 56 functionally validated variants. The maximum accuracy achieved was …

Self-Collection For Primary Hpv Testing: Acceptability In A Large Urban Emergency Department, Itunu O Sokale, Dick C Kuo, Claire M Hoppenot, Lorraine R Reitzel, Luis H Juarez, Katherine J Hernandez, Susan L Parker, Chris Amos, Maria Daheri, Kelly R Keene, Jane R Montealegre, Aaron P Thrift

Faculty, Staff and Students Publications

Study objective: Overdue cervical cancer screening increases the risk of invasive cervical cancer. It is important to identify settings where self-collection for primary human papillomavirus (HPV) testing can be implemented to have high effect on cervical cancer screening among hard-to-reach women with overdue screening. Herein, we examined the acceptability of HPV self-collection, including completion rates, attitudes, and experiences among women seeking noncritical care at a high-volume urban safety-net hospital emergency department (ED) in Houston, Texas, United States.

Methods: In this single-arm intervention pilot study, we recruited women overdue for cervical cancer screening in the waiting areas of a safety-net hospital …

Phase 3 Validation Of Paam For Hepatocellular Carcinoma Risk Stratification In Cirrhosis, Naoto Fujiwara, Camden Lopez, Tracey L Marsh, Indu Raman, Cesia A Marquez, Subhojit Paul, Sumit K Mishra, Naoto Kubota, Courtney Katz, Hiroaki Kanzaki, Michael Gonzalez, Lisa Quirk, Sneha Deodhar, Pratibha Selvakumar, Prithvi Raj, Neehar D Parikh, Lewis R Roberts, Myron E Schwartz, Mindie H Nguyen, Alex S Befeler, Stephanie Page-Lester, Sudhir Srivastava, Ziding Feng, K Rajender Reddy, Saira Khaderi, Sumeet K Asrani, Fasiha Kanwal, Hashem B El-Serag, Jorge A Marrero, Amit G Singal, Yujin Hoshida

Faculty, Staff and Students Publications

Background & aims: Hepatocellular carcinoma (HCC) risk stratification is an urgent unmet need for cost-effective HCC screening and early detection in patients with cirrhosis to improve poor HCC prognosis.

Methods: Molecular (prognostic liver secretome signature with α-fetoprotein) and clinical (aMAP [age, male sex, albumin-bilirubin, and platelets] score) variable-based scores were integrated into PAaM (prognostic liver secretome signature with α-fetoprotein plus age, male sex, albumin-bilirubin, and platelets), which was subsequently validated in 2 phase 3 biomarker validation studies: the statewide Texas HCC Consortium and nationwide HCC Early Detection Strategy prospective cohorts, following the prospective specimen collection, retrospective blinded evaluation design. The …

Anesthetic Management For Proximal Aortic Repair, Thomas R Powell, Emily B Shah, Ali Khalifa, Vicente Orozco-Sevilla, Daniel A Tolpin

Faculty, Staff and Students Publications

Surgical repair of the proximal aorta is a complex endeavor, requiring cardiopulmonary bypass (CPB) and often the use of hypothermic circulatory arrest (HCA). In addition to the normal considerations for patients undergoing cardiopulmonary bypass, additional challenges include cerebral and end-organ protection during periods of circulatory arrest. This review aims to provide an up-to-date, evidence-based review on anesthetic management for proximal aortic repair.

Genomics And Multiomics In The Age Of Precision Medicine, Srinivasan Mani, Seema R Lalani, Mohan Pammi

Faculty, Staff and Students Publications

Precision medicine is a transformative healthcare model that utilizes an understanding of a person's genome, environment, lifestyle, and interplay to deliver customized healthcare. Precision medicine has the potential to improve the health and productivity of the population, enhance patient trust and satisfaction in healthcare, and accrue health cost-benefits both at an individual and population level. Through faster and cost-effective genomics data, next-generation sequencing has provided us the impetus to understand the nuances of complex interactions between genes, diet, and lifestyle that are heterogeneous across the population. The emergence of multiomics technologies, including transcriptomics, proteomics, epigenomics, metabolomics, and microbiomics, has enhanced …

Early Life Epigenetics And Childhood Outcomes: A Scoping Review, Srirupa Hari Gopal, Theresa Alenghat, Mohan Pammi

Faculty, Staff and Students Publications

Epigenetics is the study of changes in gene expression, without a change in the DNA sequence that are potentially heritable. Epigenetic mechanisms such as DNA methylation, histone modifications, and small non-coding RNA (sncRNA) changes have been studied in various childhood disorders. Causal links to maternal health and toxin exposures can introduce epigenetic modifications to the fetal DNA, which can be detected in the cord blood. Cord blood epigenetic modifications provide evidence of in-utero stressors and immediate postnatal changes, which can impact both short and long-term outcomes in children. The mechanisms of these epigenetic changes can be leveraged for prevention, early …

Androgen Receptor Ubiquitination Links Kctd13 To Genitourinary Tract Defects, Ahmed Chahdi, Carolina Jorgez, Jill A Rosenfeld, Neetu Neetu, Abhishek Seth

Faculty, Staff and Students Publications

The potassium channel tetramerization domain containing 13 (KCTD13) protein is a substrate-specific adapter for cullin3-based E3 ubiquitin ligase. Patients with copy number variants at this locus exhibit genitourinary tract anomalies. In this study, we show that decreased androgen receptor (AR) protein level correlated with increased AR ubiquitination in the testis of Kctd13-deficient mice, suggesting that KCTD13 inhibits AR ubiquitination. KCTD13 increased CUL3-dependent AR ubiquitination but had no effect on CUL3 binding to AR, confirming the role of KCTD13 as an adaptor of CUL3 ligase. Recombinant KCTD13 directly binds to recombinant AR, and the BTB domain of KCTD13 is critical for …

Biosocial Determinants Of Health Among Patients With Chronic Liver Disease And Liver Cancer, Tagari Samanta, Jun Hyoung Park, Benny Abraham Kaipparettu

Faculty, Staff and Students Publications

Background: Metabolic disorders and chronic liver disease (CLD) play crucial roles in the development and progression of liver cancer (LC). Since the ethnic minority population increasingly suffers from CLD and LC, it is vital to understand the biosocial factors contributing to CLD and LC. The 'All of Us' database, with significant participation from minority populations, provides a valuable tool for studies in different racial/ethnic groups. Using different databases, including the 'All of Us' and 'The Cancer Genome Atlas', this study aimed to understand the biosocial factors contributing to CLD and LC.

Methods: Using 'All of Us' data, confounding factors like …

Invasive Haemophilus Influenzae Disease At A Us Children's Hospital In The Sars-Cov-2 Era, J Chase Mcneil, David R Mcdonald, James J Dunn, Sheldon L Kaplan, Kristina G Hulten, Jesus G Vallejo

Faculty, Staff and Students Publications

Background: National data previously demonstrated an increase in invasive disease due to non-type b Haemophilus influenzae from the 2000s to the 2010s. Significant shifts in the epidemiology of respiratory pathogens in children have occurred in the post-SARS-CoV-2 era. We examined pediatric invasive H. influenzae disease in the pre- and post-SARS-CoV-2 years.

Methods: Invasive H. influenzae infections were identified from culture records of the Texas Children's Hospital microbiology laboratory from January 2011 to December 2023. Invasive cases were considered those with isolation of H. influenzae from a sterile site. The annual number of cases/1000 admissions was used as a surrogate for …

Interim Estimates Of 2024-2025 Seasonal Influenza Vaccine Effectiveness - Four Vaccine Effectiveness Networks, United States, October 2024-February 2025, Aaron M Frutos, Seana Cleary, Emily L Reeves, Haris M Ahmad, Ashley M Price, Wesley H Self, Yuwei Zhu, Basmah Safdar, Ithan D Peltan, Kevin W Gibbs, Matthew C Exline, Adam S Lauring, Sarah W Ball, Malini Desilva, Sara Y Tartof, Kristin Dascomb, Stephanie A Irving, Nicola P Klein, Brian E Dixon, Toan C Ong, Ivana A Vaughn, Stacey L House, Kiran A Faryar, Mary Patricia Nowalk, Manjusha Gaglani, Karen J Wernli, Vel Murugan, Olivia L Williams, Rangaraj Selvarangan, Geoffrey A Weinberg, Mary A Staat, Natasha B Halasa, Leila C Sahni, Marian G Michaels, Janet A Englund, Marie K Kirby, Diya Surie, Fatimah S Dawood, Benjamin R Clopper, Heidi L Moline, Ruth Link-Gelles, Amanda B Payne, Elizabeth Harker, Kristina Wielgosz, Zachary A Weber, Duck-Hye Yang, Nathaniel M Lewis, Jennifer Decuir, Samantha M Olson, Jessie R Chung, Brendan Flannery, Lisa A Grohskopf, Carrie Reed, Shikha Garg, Sascha Ellington, Cdc Influenza Vaccine Effectiveness Collaborators

Faculty, Staff and Students Publications

Annual influenza vaccination is recommended for all persons aged ≥6 months in the United States. Interim influenza vaccine effectiveness (VE) was calculated among patients with acute respiratory illness–associated outpatient visits and hospitalizations from four VE networks during the 2024–25 influenza season (October 2024–February 2025). Among children and adolescents aged <18 years, VE against any influenza was 32%, 59%, and 60% in the outpatient setting in three networks, and against influenza-associated hospitalization was 63% and 78% in two networks. Among adults aged ≥18 years, VE in the outpatient setting was 36% and 54% in two networks and was 41% and 55% against hospitalization in two networks. Preliminary estimates indicate that receipt of the 2024–2025 influenza vaccine reduced the likelihood of medically attended influenza and influenza-associated hospitalization. CDC recommends annual receipt of an age-appropriate influenza vaccine by all eligible persons aged ≥6 months as long as influenza viruses continue to circulate locally.

Tau Oligomers Resist Phase Separation, Lathan Lucas, Phoebe S Tsoi, Josephine C Ferreon, Allan Chris M Ferreon

Faculty, Staff and Students Publications

Tau is a microtubule-associated protein that undergoes liquid-liquid phase separation (LLPS) to form condensates under physiological conditions, facilitating microtubule stabilization and intracellular transport. LLPS has also been implicated in pathological Tau aggregation, which contributes to tauopathies such as Alzheimer's disease. While LLPS is known to promote Tau aggregation, the relationship between Tau's structural states and its phase separation behavior remains poorly defined. Here, we examine how oligomerization modulates Tau LLPS and uncover key distinctions between monomeric, oligomeric, and amyloidogenic Tau species. Using dynamic light scattering and fluorescence microscopy, we monitored oligomer formation over time and assessed oligomeric Tau's ability to …