Digital Commons Network^™

Improved Overall Survival In An Anti-Pd-L1 Treated Cohort Of Newly Diagnosed Glioblastoma Patients Is Associated With Distinct Immune, Mutation, And Gut Microbiome Features: A Single Arm Prospective Phase I/Ii Trial, Shiao-Pei Weathers, Xiqi Li, Haifeng Zhu, Ashish V Damania, Mark Knafl, Brian Mckinley, Heather Lin, Rebecca A Harrison, Nazanin K Majd, Barbara J O'Brien, Marta Penas-Prado, Monica Loghin, Carlos Kamiya-Matsuoka, W K Alfred Yung, Luisa M Solis Soto, Dipen M Maru, Ignacio Wistuba, Edwin R Parra Cuentas, Sharia Hernandez, Andrew Futreal, Jennifer A Wargo, Katja Schulze, Walter C Darbonne, Nadim J Ajami, Scott E Woodman, John F De Groot

Faculty, Staff and Student Publications

This phase I/II trial aims to evaluate the efficacy of concurrent atezolizumab with radiation therapy and temozolomide (TMZ) followed by adjuvant atezolizumab and TMZ in newly diagnosed glioblastoma (GBM) patients and to identify pre-treatment correlates with outcome (N = 60). Trial number: NCT03174197. The primary outcome was overall survival (OS) whereas secondary outcomes were retrospective global-omics analyses to identify pre-treatment immune and genetic tumor features that correlated with survival. Concurrent use of atezolizumab with radiation and TMZ demonstrated OS in line with published trials for newly diagnosed GBM. Tumor genomic (WES and/or targeted NGS panel), transcriptomic (RNAseq) and tissue microenvironment …

Building A Pre-Surgical Multiparametric-Mri-Based Morphologic, Qualitative, Semiquantitative, First And High-Order Radiomic Predictive Treatment Response Model For Undifferentiated Pleomorphic Sarcoma To Replace Recist, Raul F Valenzuela, Elvis Duran-Sierra, Mathew Antony, Behrang Amini, Sam Lo, Keila E Torres, Robert S Benjamin, Jingfei Ma, Ken-Pin Hwang, R Jason Stafford, Dejka Araujo, Andrew J Bishop, Ravin Ratan, Wei-Lien Wang, Jossue Espinoza, Pia V Valenzuela, Chengyue Wu, John E Madewell, William A Murphy, Colleen M Costelloe

Faculty, Staff and Student Publications

Background: Undifferentiated pleomorphic sarcoma (UPS) is the largest subgroup of soft-tissue sarcomas. It demonstrates post-therapeutic hemosiderin deposition, granulation tissue formation, fibrosis, and calcification. Our research aims to establish the multiparametric MRI (mp-MRI) value for predicting UPS treatment response.

Methods: An IRB-approved retrospective study included 33 extremity UPS patients with pre-operative mp-MRI, including diffusion-weighted imaging (DWI), contrast-enhanced susceptibility-weighted imaging (CE-SWI), and perfusion-weighted imaging with dynamic contrast-enhancement (PWI/DCE), and surgical resection between February 2021 and May 2023. Lesions were visually classified on CE-SWI into one of 6 morphology patterns. On PWI/DCE, lesions were classified into one of 6 patterns, and time-intensity curves …

Correction: A Mapping Review And Critique Of The Literature On Translation, Dissemination, And Implementation Capacity Building Initiatives For Different Audiences, Ana A Baumann, Danielle R Adams, Laura-Mae Baldwin, Rachel G Tabak, Sara Malone, Maura M Kepper, Anita D Misra-Hebert, Kathleen R Stevens, Maria E Fernandez, Sunil Kripalani

Faculty, Staff and Student Publications

This corrects the article "A mapping review and critique of the literature on translation, dissemination, and implementation capacity building initiatives for different audiences", 34.

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …

The Dynamic Immune Behavior Of Primary And Metastatic Ovarian Carcinoma, Elaine Stur, Fuduan Peng, Pang-Ning Teng, Emine Bayraktar, Min Hu, Sara Corvigno, David J Brown, Sanghoon Lee, Kathleen N Moore, Nicholas W Bateman, Kathleen M Darcy, George L Maxwell, Thomas P Conrads, Nidhi Sahni, Ignacio Vázquez-García, Sohrab P Shah, Joseph Celestino, Nicole D Fleming, Nicholas E Navin, Linghua Wang, Anil K Sood

Faculty, Staff and Student Publications

Patients with high-grade serous ovarian carcinoma (HGSC) are usually diagnosed with advanced-stage disease, and the tumors often have immunosuppressive characteristics. Together, these factors are important for disease progression, drug resistance, and mortality. In this study, we used a combination of single-cell sequencing and spatial transcriptomics to identify the molecular mechanisms that lead to immunosuppression in HGSC. Primary tumors consistently showed a more active immune microenvironment than did omental tumors. In addition, we found that untreated primary tumors were mostly populated by dysfunctional CD4 and CD8 T cells in later stages of differentiation; this, in turn, was correlated with expression changes …

Distinct Adipose Progenitor Cells Emerging With Age Drive Active Adipogenesis, Guan Wang, Gaoyan Li, Anying Song, Yutian Zhao, Jiayu Yu, Yifan Wang, Wenting Dai, Martha Salas, Hanjun Qin, Leonard Medrano, Joan Dow, Aimin Li, Brian Armstrong, Patrick T Fueger, Hua Yu, Yi Zhu, Mengle Shao, Xiwei Wu, Lei Jiang, Judith Campisi, Xia Yang, Qiong A Wang

Children’s Nutrition Research Center Staff Publications

Starting at middle age, adults often suffer from visceral adiposity and associated adverse metabolic disorders. Lineage tracing in mice revealed that adipose progenitor cells (APCs) in visceral fat undergo extensive adipogenesis during middle age. Thus, despite the low turnover rate of adipocytes in young adults, adipogenesis is unlocked during middle age. Transplantations quantitatively showed that APCs in middle-aged mice exhibited high adipogenic capacity cell-autonomously. Single-cell RNA sequencing identified a distinct APC population, the committed preadipocyte, age-enriched (CP-A), emerging at this age. CP-As demonstrated elevated proliferation and adipogenesis activity. Pharmacological and genetic manipulations indicated that leukemia inhibitory factor receptor signaling was …

High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti, Sherise D Ferguson

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). Characterized by molecular alterations in CDKN2A/B, NF1, BRAF, FGFR1, and ATRX, they may be located anywhere in the CNS but show a predilection for the posterior fossa. Reports are limited to retrospective case series, and the standard of care is not yet established. We performed a retrospective review of electronic medical records of all patients with HGAP at our institution. Records were queried …

Differences In Hepatocellular Carcinoma Incidence Trends Across Us Census Divisions, 2001 To 2021, Itunu O Sokale, Omar Rosales, Aaron P Thrift, Hashem B El-Serag, Elyse Burgess, Abiodun O Oluyomi

Faculty, Staff and Students Publications

Background/Objectives: Hepatocellular carcinoma (HCC) is a leading cause of cancer diagnoses and deaths in the United States. This study serves as an update on secular trends in national HCC incidence rates while exploring potential geographic and racial/ethnic differences across all nine US census divisions.

Methods: We analyzed HCC incidence data reported to the United States Cancer Statistics (USCS) database from 2001 to 2021 (excluding 2020 data, based on the Centers for Disease Control and Prevention's cautionary recommendations for COVID-19 pandemic data usage for trend analysis). We performed trend analyses of age-adjusted incidence rates in the US overall, by census …

Development And Validation Of A Dynamic Real-Time Risk Prediction Model For Intensive Care Units Patients Based On Longitudinal Irregular Data: Multicenter Retrospective Study, Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

Faculty, Staff and Student Publications

Background: Timely and accurate prediction of short-term mortality is critical in intensive care units (ICUs), where patients' conditions change rapidly. Traditional scoring systems, such as the Simplified Acute Physiology Score and Acute Physiology and Chronic Health Evaluation, rely on static variables collected within the first 24 hours of admission and do not account for continuously evolving clinical states. These systems lack real-time adaptability, interpretability, and generalizability. With the increasing availability of high-frequency electronic medical record (EMR) data, machine learning (ML) approaches have emerged as powerful tools to model complex temporal patterns and support dynamic clinical decision-making. However, existing models are …

Dual Implants For Geriatric Distal Femur Fractures Results In Greater Healthy Days At Home, Makoa Mau, Tyler Thorne, Cole Payne, Kaleb Roach, Reese Svetgoff, Patrick J Kellam, Graham J Dekeyser, Stephen J Warner, Lucas S Marchand, Justin Haller

Faculty, Staff and Student Publications

Objectives: To compare Healthy Days At Home (HDAH90) within 90 days of hospital discharge after single implant (SI) or dual implant (DI) fixation in geriatric distal femur fractures.

Methods: Design: Retrospective Review.

Setting: Three Level I Trauma Centers.

Patient selection criteria: Geriatric (age ≥ 60 years) distal femur fracture patients (OTA/AO 33 A, C) operatively treated with SI (lateral plate or retrograde intramedullary nail (IMN)) or DI (two plates or plate and IMN) between January 2018-January 2024 were included.

Outcome measures and comparisons: The primary outcome was HDAH90, which was calculated from date of surgery to 90 days follow-up and …

Impact Of Antidiabetic Medication Type On A New Episode Of Depression: A Retrospective Cohort Study In Texas, Usa, Lin-Na Chou, Mukaila A Raji, Holly M Holmes, Yong-Fang Kuo

Faculty, Staff and Student Publications

Objectives: To examine the associations between antidiabetic medication type and a new episode of depression using 100% Texas Medicare database during 2009 and 2018.

Design: A retrospective cohort study.

Setting: A population-based study using the Texas Medicare data.

Interventions: 11 common antihyperglycaemic medication types, alone and in combinations: metformin-only, five non-metformin-containing regimens (dipeptidyl peptidase-4 inhibitor (DPP4i) only, sulfonylureas (SU) only, thiazolidinediones (TZD) only, SU/DPP4i and SU/TZD) and five metformin-containing combination treatments (metformin/DPP4i, metformin/SU, metformin/TZD, metformin/SU/DPP4i and metformin/SU/TZD).

Participants: This study included 59 057 type 2 diabetes (T2D) patients from a cohort of Texas Medicare beneficiaries who were aged ≥66 years, …

Retrospective Analysis Of Cement Extravasation Rates In Vertebroplasty, Kyphoplasty, And Bone Tumor Radiofrequency Ablation, Soun Sheen, Prit Hasan, Xiaowen Sun, Jian Wang, Claudio Tatsui, Kent Nouri, Saba Javed

Faculty, Staff and Student Publications

Background: Percutaneous vertebral augmentation techniques, including vertebroplasty, kyphoplasty, and bone tumor radiofrequency ablation (BT-RFA), are commonly used to treat painful vertebral compression fractures (VCFs). While generally safe and effective, they carry risks, including cement extravasation, which can lead to pulmonary embolism or spinal cord compression. This study aims to compare the rate of cement extravasation across different vertebral augmentation techniques and identify potential risk factors.

Methods: A retrospective cohort study was conducted at a comprehensive cancer center on 1002 procedure encounters in 888 patients who underwent vertebral augmentation for painful VCFs. Data were collected on patient demographics, fracture pathology, procedure …

Is There Evidence For Changes In Antibiotic Resistance Of Microorganisms Causing Postcataract Surgery Endophthalmitis: A Systematic Review, Christina J Flaxel, Justine R Smith, Nieraj Jain, Leo A Kim, Stephen Jae Kim, Maureen G Maguire, Christina Y Weng, Steven Yeh

Faculty, Staff and Students Publications

Background/aims: To review the evidence for changes in antibiotic resistance patterns before and after cataract surgery since the advent of routine use of intracameral (IC) antibiotic prophylaxis and development of newer topical fluoroquinolones pre- and postcataract surgery.

Methods: Literature searches in the National Library of Medicine PubMed database were conducted between 2019 and 2021 and updated in 2024. There were no date restrictions, and the search was limited to high-quality studies published in English. The initial combined searches yielded 583 articles, and the search update in 2024 yielded 9 articles. Of these 592 articles, 26 presented original research that met …

Inhibition Of Soluble Epoxide Hydrolase Confers Neuroprotection And Restores Microglial Homeostasis In A Tauopathy Mouse Model, Shuo Wang, Chuangye Qi, Chetan Rajpurohit, Baijayanti Ghosh, Wen Xiong, Baiping Wang, Yanyan Qi, Sung Hee Hwang, Bruce D Hammock, Hongjie Li, Li Gan, Hui Zheng

Center on Aging Staff Publications

Background: The epoxyeicosatrienoic acids (EETs) are derivatives of the arachidonic acid metabolism with anti-inflammatory activities. However, their efficacy is limited due to the rapid hydrolysis by soluble epoxide hydrolase (sEH). Inhibition of sEH has been shown to stabilize the EETs and reduce neuroinflammation in Aβ mouse models of Alzheimer's disease (AD). However, the role of the sEH-EET signaling pathway in other CNS cell types and neurodegenerative conditions are less understood.

Methods: Here we investigated the mechanisms and functional role of the sEH-EET axis in tauopathy by treating PS19 mice with a small molecule sEH inhibitor TPPU and by crossing the …

Vaccination Schedules Recommended By The Centers For Disease Control And Prevention: From Human-Readable To Machine-Processable, Xia Jing, Hua Min, Yang Gong, Mytchell A Ernst, Aneesa Weaver, Chloe Crozier, David Robinson, Dean F Sittig, Paul G Biondich, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D Boyce, Adam Wright, Christian Nøhr, Timothy D Law, Arild Faxvaag, Lior Rennert, Ronald W Gimbel

Faculty, Staff and Student Publications

Background: Reusable, machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces the process, results, challenges faced, and lessons learned while converting the United States of America Centers for Disease Control and Prevention (CDC)-recommended immunization schedules (2022) to machine-processable CDSS rules.

Methods: We converted the vaccination schedules into tabular, charts, MS Excel, and clinical quality language (CQL) formats. The CQL format can be automatically converted to a machine-processable format using existing tools. Therefore, it was regarded as a machine-processable format. The results were reviewed, verified, and tested.

Results: We have …

Liposomes As Imaging Agents Of Inflammation And Oxidative Stress In Bone Implants, Delia Danila, Patricia S Pardo, R Devesh Kumar Misra, Aladin M Boriek

Faculty, Staff and Students Publications

Liposomes are tiny, spherical vesicles made from cholesterol and natural phospholipids that are promising imaging agents for detecting medical complications. They can carry fluorescent markers or other imaging agents, making them effective for medical imaging. Furthermore, liposomes can target specific cells involved in inflammation, such as macrophages, and accumulate at inflammation sites when injected. Additionally, liposomes can be designed to respond to oxidative stress, which is often associated with bone implant complications. By detecting areas of stress, liposomes provide valuable information about implant health. However, challenges such as rapid clearance from the body, precise targeting, immune reactions, and high production …

Tobacco Smoking Functional Networks: A Whole-Brain Connectome Analysis In 24 539 Individuals, Yezhi Pan, Chuan Bi, Zhenyao Ye, Hwiyoung Lee, Jiaao Yu, Luba Yammine, Tianzhou Ma, Peter Kochunov, L Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

Introduction: Nicotine addiction, a multifaceted neuropsychiatric disorder, profoundly impacts brain functions through interactions with neural pathways. Despite its significance, the impact of tobacco smoking on the whole-brain functional connectome remains largely unexplored.

Aims and methods: We conducted a whole-brain analysis on 24 539 adults aged 40 and above from the United Kingdom Biobank cohort. Subjects were categorized into individuals who use nicotine and those who do not use nicotine based on current and chronic tobacco smoking information. Functional connectivity was assessed using resting-state functional magnetic resonance imaging. We employed a network analysis method to assess the systematic effects of tobacco …

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …

Can The Discovery Of High-Impact Diagnostics Be Improved By Matching The Sampling Rate Of Clinical Diagnostics To The Frequency Domain Of Diagnostic Information?, Steven W Millward, Peng Wei, David Piwnica-Worms, Seth T Gammon

Faculty, Staff and Student Publications

Over the past 30 years, academic and industrial research investigators have developed molecular reporters to visualize cell death in complex biological systems. In parallel, clinical researchers, chemists, biochemists, and molecular biologists have endeavored to translate these molecular tools into clinical imaging agents. Despite these efforts, there are no clinically approved imaging methodologies with which to image cell death consistently and quantitatively. One reason may reside in the intrinsic mismatch between the sampling frequency of translational molecular imaging and the biochemical kinetics that define cell death. Beyond cell death imaging, many active research programs are now attempting to create translational diagnostic …

Epidemiology Of Tourette Syndrome, Abdullah Yasir Yilmaz, Joseph Jankovic

Faculty, Staff and Students Publications

Background/Objectives: Tourette syndrome (TS) is a neurodevelopmental disorder, manifested by tics and a variety of behavioral comorbidities that cluster strongly within families, suggesting a combination of genetic and environmental risk factors. The underlying pathophysiology of TS remains to be elucidated. Understanding the incidence and prevalence across different populations provides valuable insights into the etiology and pathogenesis of the condition and aids in the development of effective treatment strategies.

Methods: A comprehensive literature search was conducted on PubMed covering the period from 1 January 2000 to 1 January 2025. The search used the terms "Tourette syndrome", "tics", "tic disorders", "epidemiology", "prevalence", …

The Combined Effect Of High-Intensity Interval Training And Time-Restricted Feeding On The Akt-Igf-1-Mtor Signaling Pathway In The Muscle Tissue Of Type 2 Diabetic Rats, Motahareh Mohebinejad, Fatemeh Kazeminasab, Mahtab Ghanbari Rad, Reza Bagheri, Mazdak Razi, Darryn Willoughby, Fred Dutheil

Faculty, Staff and Students Publications

Background/Objectives: High-intensity interval training (HIIT) and time-restricted feeding (TRF) have shown potential in enhancing glucose metabolism, increasing insulin sensitivity, and promoting muscle health. This study investigates the combined effects of HIIT and TRF on the AKT-IGF-1-mTOR signaling pathway in the muscle tissue of type 2 diabetic (T2D) rats.

Methods: 42 male Wistar rats (4-5 weeks of age) were included in the study. The animals were randomly divided into two groups: 1. Standard diet (SD) non-diabetic (n = 7) and 2. High-fat diet (HFD n = 35) for 4 weeks. T2D was induced by intraperitoneal injection (IP) of streptozotocin (STZ) …

The Havcr1-Centric Host Factor Network Drives Zika Virus Vertical Transmission, Wenzhe Yu, Jun Tao, Hongmin Cao, Wanshan Zheng, Beiang Zhang, Yue Zhang, Peiqun Xu, Yiwei Zhang, Xuan Liu, Yinan Wang, Han Cai, Gang Liu, Fan Liu, Haibin Wang, Haiyan Zhao, Indira U Mysorekar, Xiaoqian Hu, Bin Cao

Center on Aging Staff Publications

Zika virus (ZIKV) vertical transmission results in devastating congenital malformations and pregnancy complications; however, the specific receptor and host factors facilitating ZIKV maternal-fetal transmission remain elusive. Here, we employ a genome-wide CRISPR screening and identify multiple placenta-intrinsic factors modulating ZIKV infection. Our study unveils that hepatitis A virus cellular receptor 1 (HAVCR1) serves as a primary receptor governing ZIKV entry in placental trophoblasts. The GATA3-HAVCR1 axis regulates heterogeneous cell tropism in the placenta. Notably, placenta-specific Havcr1 deletion in mice significantly impairs ZIKV transplacental transmission and associated adverse pregnancy outcomes. Mechanistically, the immunoglobulin variable-like domain of HAVCR1 binds to ZIKV via …

Parapneumonic Empyema Complicating Community-Acquired Pneumonia: Etiology In The Era Of Pneumococcal Vaccination And Role Of Molecular Diagnosis, Antonio C Arrieta, Stephanie Osborne, Lindsay R Grant, Bradford D Gessner, Anne J Blaschke, Kristina G Hulten, Delma J Nieves, Ashley Miller, Cody Bender, Raul Isturiz, Ronika Alexander, Shannon M Nielsen, Linda B Lamberth, Alejandro Cane, Adriano Arguedas

Faculty, Staff and Students Publications

Background: Impact of pneumococcal conjugate vaccines (PCVs) on pneumococcal disease is well described; pneumococcus is infrequently identified by culture in pneumonia. Yield is higher when pleural fluid is cultured. Polymerase chain reaction (PCR) in pleural fluid samples improves pathogen identification, particularly in the case of S. pneumoniae.

Methods: Healthy children with empyema who underwent pleural fluid drainage were eligible. Demographics and PCV immunization status were collected. Blood/pleural fluid cultures were obtained. Pleural fluid samples were sent for PCR for pathogen. Serotyping was done by Neufeld-Quellung reaction on pneumococcus isolates, and PCR in culture negative cases.

Results: From December 2018 to …

Tips For Quality Publishing; Lessons From The Neuroscience Editorial Team, Francesca Cirulli, Rachael Dangarembezi, Victor De Lafuente, Anthony J Hannan, Amanda C Kentner, Tatsuya Mima, Laurel Morris, Sarah J Spencer, Long-Jun Wu, Chen Zhang

The Brown Foundation: Institute of Molecular Medicine

In pursuit of excellence in scholarly publishing, the Neuroscience editorial team shares valuable insights that are essential for authors, reviewers, and the broader scientific community. Firstly, we emphasize that impactful research is built on rigorous study design and execution. Beyond fundamental methodological safeguards such as randomization and blinded analysis, we highlight the importance of thoughtfully selecting study models, with deliberate attention to biological variables like sex and gender, as well as appropriate nomenclature. Secondly, as technological innovations reshape research landscapes, we advocate for combining methodological rigor with suitable analytical tools to ensure robust data collection and transparent reporting. Thirdly, for …

Mandibular Condylar Cartilage In Development And Diseases: A Pthrp-Centric View, Chiaki Tsutsumi-Arai, Amy Tran, Yuki Arai, Wanida Ono, Noriaki Ono

Faculty, Staff and Student Publications

The mandibular condylar cartilage (MCC) is a dual-function component of the temporomandibular joint (TMJ), acting as both articular cartilage for jaw movement and growth cartilage for vertical growth of the mandibular condyle. Parathyroid hormone-related protein (PTHrP) plays a critical role in orchestrating chondrogenesis in the long bone, and its importance is also highlighted in both MCC development and TMJ function. Here, we discuss the role of PTHrP in the development, growth and diseases of the MCC. PTHrP is a key morphogen in the MCC that regulates chondrogenesis by promoting chondrocyte proliferation and preventing premature hypertrophic differentiation. Exclusively expressed in the …

Trends In Celecoxib Prescribing: A Single Institution 16-Month Review, Ivo H Cerda, Helen Jung, Maria C Guerrero, Rodrigo Diez Tafur, Robert Jason Yong, Christopher L Robinson, Jamal J Hasoon

Faculty, Staff and Student Publications

Background/Objectives: Celecoxib, a COX-2 selective nonsteroidal anti-inflammatory drug (NSAID), is widely prescribed for pain management due to its efficacy and improved gastrointestinal safety profile compared to traditional NSAIDs. Understanding prescription trends and their comparison to other NSAIDs provides valuable insight into prescribing behaviors in clinical settings.

Methods: This retrospective study analyzed celecoxib prescriptions written by three pain management physicians in a single institution over a 16-month period from 1 January 2023 to 30 April 2024. Prescription data were collected and grouped into four 4-month intervals to assess temporal trends. Additionally, we compared celecoxib prescriptions to other commonly prescribed NSAIDs, including …

Incident Hearing Loss And Subsequent Risk Of Dementia: The Health And Retirement Study 2010-2018, Jingkai Wei, Youngran Kim, Yike Li, Donglan Zhang, Casey Crump

Faculty, Staff and Student Publications

Background and Objectives

Research Design and Methods

Correction: Toward Personalized Digital Experiences To Promote Diabetes Self-Management: Mixed Methods Social Computing Approach, Tavleen Singh, Kirk Roberts, Kayo Fujimoto, Jing Wang, Constance Johnson, Sahiti Myneni

Faculty, Staff and Student Publications

No abstract provided.

Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia

Faculty, Staff and Student Publications

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,

Mammonc-Db, An Integrative Breast Cancer Data Analysis Platform For Target Discovery, Santhosh Kumar Karthikeyan, Darshan S Chandrashekar, Snigdha Sahai, Sadeep Shrestha, Ritu Aneja, Rajesh Singh, Celina G Kleer, Sidharth Kumar, Zhaohui S Qin, Harikrishna Nakshatri, Upender Manne, Chad J Creighton, Sooryanarayana Varambally

Faculty, Staff and Students Publications

Breast cancer (BCa), a leading malignancy among women, is characterized by morphological and molecular heterogeneity. While early-stage, hormone receptor, and HER2-positive BCa are treatable, triple-negative BCa and metastatic BCa remains largely untreatable. Advances in sequencing and proteomic technologies have improved our understanding of the molecular alterations that occur during BCa initiation and progression and enabled identification of subclass-specific biomarkers and therapeutic targets. Despite the availability of abundant omics data in public repositories, user-friendly tools for multi-omics data analysis and integration are scarce. To address this, we developed a comprehensive BCa data analysis platform called MammOnc-DB ( http://resource.path.uab.edu/MammOnc-Home.html ), comprising data …