Medicine and Health Sciences Commons^™

Mettl3-Mediated Chromatin Contacts Promote Stress Granule Phase Separation Through Metabolic Reprogramming During Senescence, Chen Wang, Hideki Tanizawa, Connor Hill, Aaron Havas, Qiang Zhang, Liping Liao, Xue Hao, Xue Lei, Lu Wang, Hao Nie, Yuan Qi, Bin Tian, Alessandro Gardini, Andrew V Kossenkov, Aaron Goldman, Shelley L Berger, Ken-Ichi Noma, Peter D Adams, Rugang Zhang

Faculty, Staff and Student Publications

METTL3 is the catalytic subunit of the methyltransferase complex, which mediates m6A modification to regulate gene expression. In addition, METTL3 regulates transcription in an enzymatic activity-independent manner by driving changes in high-order chromatin structure. However, how these functions of the methyltransferase complex are coordinated remains unknown. Here we show that the methyltransferase complex coordinates its enzymatic activity-dependent and independent functions to regulate cellular senescence, a state of stable cell growth arrest. Specifically, METTL3-mediated chromatin loops induce Hexokinase 2 expression through the three-dimensional chromatin organization during senescence. Elevated Hexokinase 2 expression subsequently promotes liquid-liquid phase separation, manifesting as stress granule phase …

Contribution Of Matrix Metalloproteinase-2 And Matrix Metalloproteinase-9 To Upper Tract Urothelial Cancer Risk In Taiwan, Bo-Ren Wang, Hung-Huan Ma, Chao-Hsiang Chang, Cheng-Hsi Liao, Wen-Shin Chang, Mei-Chin Mong, Ya-Chen Yang, Jian Gu, Da-Tian Bau, Chia-Wen Tsai

Faculty, Staff and Student Publications

Matrix metalloproteinase (MMP)-2 and -9, which degrade type IV collagen, are linked to cancer invasion and metastasis. Gene polymorphisms in MMP-2 and MMP-9 can influence their function, impacting cancer development and progression. This study analyzed the association between polymorphisms MMP-2 rs243865 (C-1306T), rs2285053 (C-735T), and MMP-9 rs3918242 (C-1562T) with serum concentrations of these enzymes in upper tract urothelial cancer (UTUC) patients. We conducted a case-control study with 218 UTUC patients and 580 healthy individuals in Taiwan. Genotyping was performed using PCR/RFLP on DNA from blood samples, and MMP-2 and MMP-9 serum levels and mRNA expressions in 30 UTUC patients were …

Cross-Sectional Analysis Of The Association Between Household Food Insecurity And Mental Health Conditions In Children Aged 5–11 Years In Canada, Justin Thielman, Sarah Orr, Saranya Naraentheraraja, Daniel Harrington, Sarah Carsley

Faculty, Staff and Student Publications

BACKGROUND: Children living in food insecure households have poorer mental health outcomes compared with their food-secure peers; however, the relationship between the severity of food insecurity and diagnosed mental health conditions in young children remains unknown. This study examined the association between household food insecurity and reported diagnosed mental health conditions among children aged 5-11 years in Canada.

METHODS: This study included 16 216 children aged 5-11 years living in Canada, from the 2019 Canadian Health Survey on Children and Youth. We measured household food insecurity using the Household Food Security Survey Module. We measured diagnosed mental health conditions by …

Car T-Cell Expansion: Harmful Or Helpful?, Anath C Lionel, Sattva S Neelapu

Faculty, Staff and Student Publications

No abstract provided.

Hypoxia Inducible Factor 2Α Promotes Tolerogenic Macrophage Development During Cardiac Transplantation Through Transcriptional Regulation Of Colony Stimulating Factor 1 Receptor, Matthew Deberge, Samantha Schroth, Fanfan Du, Xin Yi Yeap, Jiao-Jing Wang, Zheng Jenny Zhang, Mohammed Javeed Ansari, Evan A Scott, Edward B Thorp

Faculty, Staff and Student Publications

Solid organ transplantation mobilizes myeloid cells, including monocytes and macrophages, which are central protagonists of allograft rejection. However, myeloid cells can also be functionally reprogrammed by perioperative costimulatory blockade to promote a state of transplantation tolerance. Transplantation tolerance holds promise to reduce complications from chronic immunosuppression and promote long-term survival in transplant recipients. We sought to identify different mediators of transplantation tolerance by performing single-cell RNA sequencing of acute rejecting or tolerized cardiac allografts. This led to the unbiased identification of the transcription factor, hypoxia inducible factor (HIF)-2α, in a subset of tolerogenic monocytes. Using flow cytometric analyses and mice …

Cracd Loss Induces Neuroendocrine Cell Plasticity Of Lung Adenocarcinoma, Bongjun Kim, Shengzhe Zhang, Yuanjian Huang, Kyung-Pil Ko, Youn-Sang Jung, Jinho Jang, Gengyi Zou, Jie Zhang, Sohee Jun, Kee-Beom Kim, Kwon-Sik Park, Jae-Il Park

Faculty, Staff and Student Publications

Tumor cell plasticity contributes to intratumoral heterogeneity and therapy resistance. Through cell plasticity, some lung adenocarcinoma (LUAD) cells transform into neuroendocrine (NE) tumor cells. However, the mechanisms of NE cell plasticity remain unclear. CRACD (capping protein inhibiting regulator of actin dynamics), a capping protein inhibitor, is frequently inactivated in cancers. CRACD knockout (KO) is sufficient to de-repress NE-related gene expression in the pulmonary epithelium and LUAD cells. In LUAD mouse models, Cracd KO increases intratumoral heterogeneity with NE gene expression. Single-cell transcriptomic analysis showed that Cracd KO-induced NE cell plasticity is associated with cell de-differentiation and stemness-related pathway activation. The …

A Spatiotemporal Map Of Co-Receptor Signaling Networks Underlying B Cell Activation, Katherine J Susa, Gary A Bradshaw, Robyn J Eisert, Charlotte M Schilling, Marian Kalocsay, Stephen C Blacklow, Andrew C Kruse

Faculty, Staff and Student Publications

The B cell receptor (BCR) signals together with a multi-component co-receptor complex to initiate B cell activation in response to antigen binding. Here, we take advantage of peroxidase-catalyzed proximity labeling combined with quantitative mass spectrometry to track co-receptor signaling dynamics in Raji cells from 10 s to 2 h after BCR stimulation. This approach enables tracking of 2,814 proximity-labeled proteins and 1,394 phosphosites and provides an unbiased and quantitative molecular map of proteins recruited to the vicinity of CD19, the signaling subunit of the co-receptor complex. We detail the recruitment kinetics of signaling effectors to CD19 and identify previously uncharacterized …

Facebook’S Shared Articles On Hpv Vaccination: Analysis Of Persuasive Strategies, Ashley Hedrick Mckenzie, Elaine Avshman, Ross Shegog, Lara S Savas, L Aubree Shay

Faculty, Staff and Student Publications

Background: The current study analyzed articles shared on Facebook between 2019 and 2021 that discuss the HPV vaccine. Results address a gap in knowledge about the persuasive strategies used in HPV vaccine discourse on Facebook.

Methods: Using Buzzsumo.com, we collected 138 articles, shared on Facebook between 2019 and 2021, with the highest "engagement scores," or total number of reactions, comments, and shares. Using a content analysis methodology, three independent coders were trained in using the study codebook, achieved acceptable inter-rater reliability (Krippendorf's alpha = 0.811), and coded each article in Atlas.ti.

Results: Seventy-two articles had a positive valence toward the …

Achieving Fairness Across Local And Global Models In Federated Learning, Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim

Faculty, Staff and Student Publications

Achieving fairness across diverse clients in Federated Learning (FL) remains a significant challenge due to the heterogeneity of the data and the inaccessibility of sensitive attributes from clients' private datasets. This study addresses this issue by introducing \texttt{EquiFL}, a novel approach designed to enhance both local and global fairness in federated learning environments. \texttt{EquiFL} incorporates a fairness term into the local optimization objective, effectively balancing local performance and fairness. The proposed coordination mechanism also prevents bias from propagating across clients during the collaboration phase. Through extensive experiments across multiple benchmarks, we demonstrate that \texttt{EquiFL} not only strikes a better balance …

An Improved Method For Diagnosis Of Parkinson’S Disease Using Deep Learning Models Enhanced With Metaheuristic Algorithm, Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao

Faculty, Staff and Student Publications

Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early stages. Quantitative measures of brain health can be obtained safely and non-invasively using medical imaging techniques like magnetic resonance imaging (MRI) and single photon emission computed tomography (SPECT). For accurate diagnosis of PD, powerful machine learning and deep learning models as well as the effectiveness of medical imaging tools for assessing neurological health are required. This study proposes four deep learning models with a hybrid model for the early detection of PD. For the simulation study, two standard datasets are chosen. Further to improve the performance of …

Clinical And Genomic Profile Of Primary Cranial Neurolymphomatosis, Emily B Wolf, Robin Imperial, Liuyan Jiang, Amit K Agarwal, Han W Tun

Faculty, Staff and Student Publications

Primary cranial neurolymphomatosis (PCNL) is a rare subtype of primary CNS lymphoma (PCNSL) in which infiltrative lymphomatous involvement is confined to cranial nerves. Here, we report a case of PCNL with successful genomic profiling. A 57-year-old male had a lengthy prediagnostic phase spanning approximately 30 months, characterized by multiple episodes of cranial neuropathies managed by steroids. At the time of diagnosis, the patient had right-sided cranial neuropathies involving cranial nerves (CN) V, VI, and VII. Pathological findings of the right cavernous lesion biopsy were consistent with large B-cell lymphoma-infiltrating nerve fibers. The clinical course was aggressive and refractory, characterized by …

Anti-Acetylated-Tau Immunotherapy Is Neuroprotective In Tauopathy And Brain Injury, Celeste Parra Bravo, Karen Krukowski, Sarah Barker, Chao Wang, Yaqiao Li, Li Fan, Edwin Vázquez-Rosa, Min-Kyoo Shin, Man Ying Wong, Louise D Mccullough, Ryan S Kitagawa, H Alex Choi, Angela Cacace, Subhash C Sinha, Andrew A Pieper, Susanna Rosi, Xu Chen, Li Gan

Faculty, Staff and Student Publications

BACKGROUND: Tau is aberrantly acetylated in various neurodegenerative conditions, including Alzheimer's disease, frontotemporal lobar degeneration (FTLD), and traumatic brain injury (TBI). Previously, we reported that reducing acetylated tau by pharmacologically inhibiting p300-mediated tau acetylation at lysine 174 reduces tau pathology and improves cognitive function in animal models.

METHODS: We investigated the therapeutic efficacy of two different antibodies that specifically target acetylated lysine 174 on tau (ac-tauK174). We treated PS19 mice, which harbor the P301S tauopathy mutation that causes FTLD, with anti-ac-tauK174 and measured effects on tau pathology, neurodegeneration, and neurobehavioral outcomes. Furthermore, PS19 mice received treatment post-TBI to evaluate the …

Tumor Biomechanical Stiffness By Magnetic Resonance Elastography Predicts Surgical Outcomes And Identifies Biomarkers In Vestibular Schwannoma And Meningioma, Bailey H Duhon, Kristin Thompson, Melanie Fisher, Vivian F Kaul, Han Tn Nguyen, Michael S Harris, Varun Varadarajan, Oliver F Adunka, Daniel M Prevedello, Arunark Kolipaka, Yin Ren

Faculty, Staff and Student Publications

Variations in the biomechanical stiffness of brain tumors can not only influence the difficulty of surgical resection but also impact postoperative outcomes. In a prospective, single-blinded study, we utilize pre-operative magnetic resonance elastography (MRE) to predict the stiffness of intracranial tumors intraoperatively and assess the impact of increased tumor stiffness on clinical outcomes following microsurgical resection of vestibular schwannomas (VS) and meningiomas. MRE measurements significantly correlated with intraoperative tumor stiffness and baseline hearing status of VS patients. Additionally, MRE stiffness was elevated in patients that underwent sub-total tumor resection compared to gross total resection and those with worse postoperative facial …

Integration Of Electrospun Scaffolds And Biological Polymers For Enhancing The Delivery And Efficacy Of Mesenchymal Stem/Stromal Cell Therapies, Allan John R Barcena, Archana Mishra, Dominic Karl M Bolinas, Benjamin M Martin, Marites P Melancon

Faculty, Staff and Student Publications

Mesenchymal stem/stromal cells (MSCs) have emerged as a promising therapeutic approach for a variety of diseases due to their immunomodulatory and tissue regeneration capabilities. Despite their potential, the clinical application of MSC therapies is hindered by limited cell retention and engraftment at the target sites. Electrospun scaffolds, with their high surface area-to-volume ratio and tunable physicochemical properties, can be used as platforms for MSC delivery. However, synthetic polymers often lack the bioactive cues necessary for optimal cell-scaffold interactions. Integrating electrospun scaffolds and biological polymers, such as polysaccharides, proteins, and composites, combines the mechanical integrity of synthetic materials with the bioactivity …

The Relationship Between Medication Beliefs, Patient Activation, And Self-Rated Health In Patients Taking Oral Anticancer Agents, Misun Hwang, Youmin Cho, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Purpose: Patients on oral anticancer agent (OAA) therapies have the autonomy to manage their cancer treatments in home settings. However, patients may not have adequate knowledge, confidence, or ability to effectively manage OAA-related consequences, which can significantly impact their treatment and health outcomes. This study aims to identify the associations between medication beliefs, patient activation, and self-rated health (SRH) among oncology patients taking OAAs and explore the potential mediation effects of patient activation on the relationship between medication beliefs and SRH.

Methods: A secondary data analysis was conducted on cross-sectional data from 114 patients who were diagnosed with breast, colorectal, …

Discovery Of Runs-Of-Homozygosity Diplotype Clusters And Their Associations With Diseases In Uk Biobank, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number …

Multiple Omics Levels Of Chronic Lymphocytic Leukemia, Aleksander Turk, Eva Čeh, George A Calin, Tanja Kunej

Faculty, Staff and Student Publications

Chronic lymphocytic leukemia (CLL) is a lymphoproliferative malignancy characterized by the proliferation of functionally mature but incompetent B cells. It is the most prevalent type of leukemia in Western populations, accounting for approximately 25% of new leukemia cases. While recent advances, such as ibrutinib and venetoclax treatment have improved patient outlook, aggressive forms of CLL such as Richter transformation still pose a significant challenge. This discrepancy may be due to the heterogeneity of factors contributing to CLL development at multiple -omics levels. However, information on the omics of CLL is fragmented, hindering multi-omics-based research into potential treatment options. To address …

Study Of Prognostic Splicing Factors In Cancer Using Machine Learning Approaches, Mengyuan Yang, Jiajia Liu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Splicing factors (SFs) are the major RNA-binding proteins (RBPs) and key molecules that regulate the splicing of mRNA molecules through binding to mRNAs. The expression of splicing factors is frequently deregulated in different cancer types, causing the generation of oncogenic proteins involved in cancer hallmarks. In this study, we investigated the genes that encode RNA-binding proteins and identified potential splicing factors that contribute to the aberrant splicing applying a random forest classification model. The result suggested 56 splicing factors were related to the prognosis of 13 cancers, two SF complexes in liver hepatocellular carcinoma, and one SF complex in esophageal …

Protocol For Seahorse Analysis Of Ex Vivo Mouse Brown And White Adipose Tissues, Fenfen Wang, Phu M Huynh, Yu A An

Faculty, Staff and Student Publications

The mitochondrial stress test is a gold-standard approach for assessing adipose tissue physiological functions and pathological changes. Here, we present a protocol for conducting Seahorse assays using ex vivo mouse brown and white adipose depots. We describe steps for rehydrating the cartridge, preparing freshly harvested fat depots, placing them onto an islet capture plate, and incubating them in a non-CO2 incubator. We then detail procedures for adding mitochondrial stressor solutions and conducting the mitochondrial stress test using the Seahorse XFe24 Analyzer. For complete details on the use and execution of this protocol, please refer to An et al.1.

Elucidating Immune-Related Gene Transcriptional Programs Via Factorization Of Large-Scale Rna-Profiles, Shan He, Matthew M Gubin, Hind Rafei, Rafet Basar, Merve Dede, Xianli Jiang, Qingnan Liang, Yukun Tan, Kunhee Kim, Maura L Gillison, Katayoun Rezvani, Weiyi Peng, Cara Haymaker, Sharia Hernandez, Luisa M Solis, Vakul Mohanty, Ken Chen

Faculty, Staff and Student Publications

Recent developments in immunotherapy, including immune checkpoint blockade (ICB) and adoptive cell therapy (ACT), have encountered challenges such as immune-related adverse events and resistance, especially in solid tumors. To advance the field, a deeper understanding of the molecular mechanisms behind treatment responses and resistance is essential. However, the lack of functionally characterized immune-related gene sets has limited data-driven immunological research. To address this gap, we adopted non-negative matrix factorization on 83 human bulk RNA sequencing (RNA-seq) datasets and constructed 28 immune-specific gene sets. After rigorous immunologist-led manual annotations and orthogonal validations across immunological contexts and functional omics data, we demonstrated …

Association Between Obstructive Sleep Apnea And Risk Of Benign Vocal Fold Lesions: A Nationwide 9-Year Follow-Up Cohort Study, Yong Tae Hong, Min Gu Kang, Min Gyu Lee, Sang Woo Yeom, Jong Seung Kim

Faculty, Staff and Student Publications

Since obstructive sleep apnea (OSA) affects various parts of the body, there has been little interest about the effect of OSA on voice. The objective of this study was to evaluate the risk of benign vocal fold lesions (BVFL) in OSA patients. This study used data from the National Health Insurance Service (NHIS) database. The study group was defined as the group diagnosed with OSA between 2008 and 2011. Non-OSA groups were selected based on propensity score (PS) matching. Incidence of BVFL among participants during the follow-up was analyzed. Cox proportional hazard regression analyses were performed to evaluate the association …

A Cocktail Nanovaccine Targeting Key Entry Glycoproteins Elicits High Neutralizing Antibody Levels Against Ebv Infection, Ling Zhong, Wanlin Zhang, Hong Liu, Xinyu Zhang, Zeyu Yang, Zhenfu Wen, Ling Chen, Haolin Chen, Yanran Luo, Yanhong Chen, Qisheng Feng, Mu-Sheng Zeng, Qinjian Zhao, Lixin Liu, Claude Krummenacher, Yi-Xin Zeng, Yongming Chen, Miao Xu, Xiao Zhang

Faculty, Staff and Student Publications

Epstein-Barr virus (EBV) infects more than 95% of adults worldwide and is closely associated with various malignancies. Considering the complex life cycle of EBV, developing vaccines targeting key entry glycoproteins to elicit robust and durable adaptive immune responses may provide better protection. EBV gHgL-, gB- and gp42-specific antibodies in healthy EBV carriers contributed to sera neutralizing abilities in vitro, indicating that they are potential antigen candidates. To enhance the immunogenicity of these antigens, we formulate three nanovaccines by co-delivering molecular adjuvants (CpG and MPLA) and antigens (gHgL, gB or gp42). These nanovaccines induce robust humoral and cellular responses through efficient …

Development Of An Effective Predictive Screening Tool For Prostate Cancer Using The Claritydx Machine Learning Platform, M Eric Hyndman, Robert J Paproski, Adam Kinnaird, Adrian Fairey, Leonard Marks, Christian P Pavlovich, Sean A Fletcher, Roman Zachoval, Vanda Adamcova, Jiri Stejskal, Armen Aprikian, Christopher J D Wallis, Desmond Pink, Catalina Vasquez, Perrin H Beatty, John D Lewis

Faculty, Staff and Student Publications

The current prostate cancer (PCa) screen test, prostate-specific antigen (PSA), has a high sensitivity for PCa but low specificity for high-risk, clinically significant PCa (csPCa), resulting in overdiagnosis and overtreatment of non-csPCa. Early identification of csPCa while avoiding unnecessary biopsies in men with non-csPCa is challenging. We built an optimized machine learning platform (ClarityDX) and showed its utility in generating models predicting csPCa. Integrating the ClarityDX platform with blood-based biomarkers for clinically significant PCa and clinical biomarker data from a 3448-patient cohort, we developed a test to stratify patients' risk of csPCa; called ClarityDX Prostate. When predicting high risk cancer …

A Taxonomy For Advancing Systematic Error Analysis In Multi-Site Electronic Health Record-Based Clinical Concept Extraction, Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn

Faculty, Staff and Student Publications

Background: Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic factors contributing to their occurrence, and the identification of underlying causes to refine the NLP model and improve its performance. Conducting error analysis can be complex, requiring a combination of NLP expertise and domain-specific knowledge. Due to the high heterogeneity of electronic health record (EHR) settings across different institutions, challenges may arise when attempting to standardize and reproduce the error analysis process.

Objectives: This study …

Elderly Mice With History Of Acetaminophen Intoxication Display Worsened Cognitive Impairment And Persistent Elevation Of Astrocyte And Microglia Burden, Celso S G Catumbela, Rodrigo Morales

Faculty, Staff and Student Publications

Acetaminophen (APAP) is a leading cause of acute liver failure. The effect of APAP metabolite's effects in the periphery are well characterized; however, associated consequences in the brain remain poorly understood. Animal studies on this subject are few and reveal that frequent APAP intake can trigger cerebral abnormalities that vary depending on the subject's age. Alarmingly, experimental efforts have yet to examine associated consequences in elderly hosts, who correspond to the highest risk of medication overload, impaired drug clearance, and cognitive deficits. Here, we interrogated the cerebral and peripheral pathology of elderly mice submitted to monthly episodes of APAP intoxication …

Successful Management Of Chromoblastomycosis Utilizing Conventional Antifungal Agents And Imiquimod Therapy, Jinjin Zheng, Shougang Liu, Zhenmou Xie, Yangxia Chen, Liyan Xi, Hongfang Liu, Yinghui Liu

Faculty, Staff and Student Publications

Chromoblastomycosis (CBM), a chronic fungal infection affecting the skin and subcutaneous tissues, is predominantly caused by dematiaceous fungi in tropical and subtropical areas. Characteristically, CBM presents as plaques and nodules, often leading to scarring post-healing. Besides traditional diagnostic methods such as fungal microscopy, culture, and histopathology, dermatoscopy and reflectance confocal microscopy can aid in diagnosis. The treatment of CBM is an extended and protracted process. Imiquimod, acting as an immune response modifier, boosts the host's immune response against CBM, and controls scar hyperplasia, thereby reducing the treatment duration. We present a case of CBM in Guangdong with characteristic reflectance confocal …

Erratum: Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Electronic Patient-Reported Outcome-Based Symptom Management Versus Usual Care After Lung Cancer Surgery: Long-Term Results Of A Multicenter, Randomized, Controlled Trial, Wei Dai, Yaqin Wang, Jia Liao, Xing Wei, Zhen Dai, Wei Xu, Yangjun Liu, Xin Shelley Wang, Cecilia Pompili, Hongfan Yu, Yang Pu, Yuqian Zhao, Bangrong Cao, Qifeng Wang, Wenhong Feng, Yuanqiang Zhang, Fang Liu, Yuanle Deng, Jin Zhou, Juan Li, Shaohua Xie, Run Xiang, Xiang Wang, Bo Tian, Xiaozun Yang, Bin Hu, Xiaoqin Liu, Tianpeng Xie, Xiaojun Yang, Xiang Zhuang, Guibin Qiao, Qiang Li, Qiuling Shi

Faculty, Staff and Student Publications

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported.We previously reported superior symptom control of electronic patient-reported outcome (ePRO)-based symptom management after lung cancer surgery for up to 1 month postdischarge. Here, we present the long-term results (1-12 months) of this multicenter, randomized trial, where …

Implementation Of A Health Information Technology Safety Classification System In The Veterans Health Administration’S Informatics Patient Safety Office, Danielle Kato, Joe Lucas, Dean F Sittig

Faculty, Staff and Student Publications

Objective: Implement the 5-type health information technology (HIT) patient safety concern classification system for HIT patient safety issues reported to the Veterans Health Administration's Informatics Patient Safety Office.

Materials and methods: A team of informatics safety analysts retrospectively classified 1 year of HIT patient safety issues by type of HIT patient safety concern using consensus discussions. The processes established during retrospective classification were then applied to incoming HIT safety issues moving forward.

Results: Of 140 issues retrospectively reviewed, 124 met the classification criteria. The majority were HIT failures (eg, software defects) (33.1%) or configuration and implementation problems (29.8%). Unmet user …

Sensory Asic3 Channel Exacerbates Psoriatic Inflammation Via A Neurogenic Pathway In Female Mice, Chen Huang, Pei-Yi Sun, Yiming Jiang, Yuandong Liu, Zhichao Liu, Shao-Ling Han, Bao-Shan Wang, Yong-Xin Huang, An-Ran Ren, Jian-Fei Lu, Qin Jiang, Ying Li, Michael X Zhu, Zhirong Yao, Yang Tian, Xin Qi, Wei-Guang Li, Tian-Le Xu

Faculty, Staff and Student Publications

Psoriasis is an immune-mediated skin disease associated with neurogenic inflammation, but the underlying molecular mechanism remains unclear. We demonstrate here that acid-sensing ion channel 3 (ASIC3) exacerbates psoriatic inflammation through a sensory neurogenic pathway. Global or nociceptor-specific Asic3 knockout (KO) in female mice alleviates imiquimod-induced psoriatic acanthosis and type 17 inflammation to the same extent as nociceptor ablation. However, ASIC3 is dispensable for IL-23-induced psoriatic inflammation that bypasses the need for nociceptors. Mechanistically, ASIC3 activation induces the activity-dependent release of calcitonin gene-related peptide (CGRP) from sensory neurons to promote neurogenic inflammation. Botulinum neurotoxin A and CGRP antagonists prevent sensory neuron-mediated …