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The Interplay Between Neoantigens And Immune Cells In Sarcomas Treated With Checkpoint Inhibition, Irantzu Anzar, Brandon Malone, Pubudu Samarakoon, Ioannis Vardaxis, Boris Simovski, Hugues Fontenelle, Leonardo A Meza-Zepeda, Richard Stratford, Emily Z Keung, Melissa Burgess, Hussein A Tawbi, Ola Myklebost, Trevor Clancy Jan 2023

The Interplay Between Neoantigens And Immune Cells In Sarcomas Treated With Checkpoint Inhibition, Irantzu Anzar, Brandon Malone, Pubudu Samarakoon, Ioannis Vardaxis, Boris Simovski, Hugues Fontenelle, Leonardo A Meza-Zepeda, Richard Stratford, Emily Z Keung, Melissa Burgess, Hussein A Tawbi, Ola Myklebost, Trevor Clancy

Faculty, Staff and Student Publications

INTRODUCTION: Sarcomas are comprised of diverse bone and connective tissue tumors with few effective therapeutic options for locally advanced unresectable and/or metastatic disease. Recent advances in immunotherapy, in particular immune checkpoint inhibition (ICI), have shown promising outcomes in several cancer indications. Unfortunately, ICI therapy has provided only modest clinical responses and seems moderately effective in a subset of the diverse subtypes.

METHODS: To explore the immune parameters governing ICI therapy resistance or immune escape, we performed whole exome sequencing (WES) on tumors and their matched normal blood, in addition to RNA-seq from tumors of 31 sarcoma patients treated with pembrolizumab. …


Severe Radiation-Induced Lymphopenia During Concurrent Chemoradiotherapy For Stage Iii Non-Small Cell Lung Cancer: External Validation Of Two Prediction Models, Peter S N Van Rossum, Celia Juan-Cruz, Barbara Stam, Maddalena M G Rossi, Steven H Lin, Azadeh Abravan, José S A Belderbos, Jan-Jakob Sonke Jan 2023

Severe Radiation-Induced Lymphopenia During Concurrent Chemoradiotherapy For Stage Iii Non-Small Cell Lung Cancer: External Validation Of Two Prediction Models, Peter S N Van Rossum, Celia Juan-Cruz, Barbara Stam, Maddalena M G Rossi, Steven H Lin, Azadeh Abravan, José S A Belderbos, Jan-Jakob Sonke

Faculty, Staff and Student Publications

BACKGROUND: Severe radiation-induced lymphopenia (RIL) in patients undergoing chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is associated with decreased immunotherapy efficacy and survival. At The Christie and MD Anderson Cancer Center (MDACC), prediction models for lymphopenia were developed in lung and esophageal cancer patients, respectively. The aim of this study was to externally validate both models in patients with stage III NSCLC.

METHODS: Patients who underwent concurrent CRT for stage III NSCLC in 2019-2021 were studied. Outcomes were grade ≥3 and grade 4 lymphopenia during CRT. The Christie model predictors for grade ≥3 lymphopenia included age, baseline lymphocyte count, …


The Cx3cl1-Cx3cr1 Chemokine Axis Can Contribute To Tumor Immune Evasion And Blockade With A Novel Cx3cr1 Monoclonal Antibody Enhances Response To Anti-Pd-1 Immunotherapy, Apoorvi Chaudhri, Xia Bu, Yunfei Wang, Michael Gomez, James A Torchia, Ping Hua, Shao-Hsi Hung, Michael A Davies, Gregory A Lizee, Ulrich Von Andrian, Patrick Hwu, Gordon J Freeman Jan 2023

The Cx3cl1-Cx3cr1 Chemokine Axis Can Contribute To Tumor Immune Evasion And Blockade With A Novel Cx3cr1 Monoclonal Antibody Enhances Response To Anti-Pd-1 Immunotherapy, Apoorvi Chaudhri, Xia Bu, Yunfei Wang, Michael Gomez, James A Torchia, Ping Hua, Shao-Hsi Hung, Michael A Davies, Gregory A Lizee, Ulrich Von Andrian, Patrick Hwu, Gordon J Freeman

Faculty, Staff and Student Publications

CX3CL1 secreted in the tumor microenvironment serves as a chemoattractant playing a critical role in metastasis of CX3CR1 expressing cancer cells. CX3CR1 can be expressed in both cancer and immune-inhibitory myeloid cells to facilitate their migration. We generated a novel monoclonal antibody against mouse CX3CR1 that binds to CX3CR1 and blocks the CX3CL1-CX3CR1 interaction. We next explored the immune evasion strategies implemented by the CX3CL1-CX3CR1 axis and find that it initiates a resistance program in cancer cells that results in 1) facilitation of tumor cell migration, 2) secretion of soluble mediators to generate a pro-metastatic niche, 3) secretion of soluble …


Small Molecule Inhibitor Of Tau Self-Association In A Mouse Model Of Tauopathy: A Preventive Study In P301l Tau Jnpl3 Mice, Eliot J Davidowitz, Patricia Lopez, Heidy Jimenez, Leslie Adrien, Peter Davies, James G Moe Jan 2023

Small Molecule Inhibitor Of Tau Self-Association In A Mouse Model Of Tauopathy: A Preventive Study In P301l Tau Jnpl3 Mice, Eliot J Davidowitz, Patricia Lopez, Heidy Jimenez, Leslie Adrien, Peter Davies, James G Moe

Faculty, Staff and Student Publications

Advances in tau biology and the difficulties of amyloid-directed immunotherapeutics have heightened interest in tau as a target for small molecule drug discovery for neurodegenerative diseases. Here, we evaluated OLX-07010, a small molecule inhibitor of tau self-association, for the prevention of tau aggregation. The primary endpoint of the study was statistically significant reduction of insoluble tau aggregates in treated JNPL3 mice compared with Vehicle-control mice. Secondary endpoints were dose-dependent reduction of insoluble tau aggregates, reduction of phosphorylated tau, and reduction of soluble tau. This study was performed in JNPL3 mice, which are representative of inherited forms of 4-repeat tauopathies with …


Artificial Intelligence-Driven Meta-Analysis Of Brain Gene Expression Identifies Novel Gene Candidates And A Role For Mitochondria In Alzheimer’S Disease, Caitlin A Finney, Fabien Delerue, Wendy A Gold, David A Brown, Artur Shvetcov Jan 2023

Artificial Intelligence-Driven Meta-Analysis Of Brain Gene Expression Identifies Novel Gene Candidates And A Role For Mitochondria In Alzheimer’S Disease, Caitlin A Finney, Fabien Delerue, Wendy A Gold, David A Brown, Artur Shvetcov

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the most common form of dementia. There is no treatment and AD models have focused on a small subset of genes identified in familial AD. Microarray studies have identified thousands of dysregulated genes in the brains of patients with AD yet identifying the best gene candidates to both model and treat AD remains a challenge. We performed a meta-analysis of microarray data from the frontal cortex (n = 697) and cerebellum (n = 230) of AD patients and healthy controls. A two-stage artificial intelligence approach, with both unsupervised and supervised machine learning, combined with a functional …


A Unified Mediation Analysis Framework For Integrative Cancer Proteogenomics With Clinical Outcomes, Licai Huang, James P Long, Ehsan Irajizad, James D Doecke, Kim-Anh Do, Min Jin Ha Jan 2023

A Unified Mediation Analysis Framework For Integrative Cancer Proteogenomics With Clinical Outcomes, Licai Huang, James P Long, Ehsan Irajizad, James D Doecke, Kim-Anh Do, Min Jin Ha

Faculty, Staff and Student Publications

MOTIVATION: Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify the intermediate mechanisms by which a gene affects an outcome. However, existing methods lack a unified approach to handle various types of outcome variables, making them unsuitable for high-throughput molecular profiling data with highly interconnected variables.

RESULTS: We develop a general mediation analysis framework for proteogenomic data that include multiple exposures, multivariate mediators on various scales of effects as appropriate for continuous, binary and survival outcomes. …


Sparse Tree-Based Clustering Of Microbiome Data To Characterize Microbiome Heterogeneity In Pancreatic Cancer, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson Jan 2023

Sparse Tree-Based Clustering Of Microbiome Data To Characterize Microbiome Heterogeneity In Pancreatic Cancer, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson

Faculty, Staff and Student Publications

There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with similar microbiome profiles. We propose a novel unsupervised clustering approach in the Bayesian framework that innovates over existing model-based clustering approaches, such as the Dirichlet multinomial mixture model, in three key respects: we incorporate feature selection, learn the appropriate number of clusters from the data, and integrate information on the tree structure relating the observed features. We compare the performance of our proposed method to …


Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu Jan 2023

Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu

Faculty, Staff and Student Publications

In the original Figure 7E of our article, the authors mistakenly reused the GFAP immunostaining representative image of the Vehi+Sham group for the anti-CXCL12+Sham group. This is because an error occurred in converting the original purple fluorescence of GFAP for each group to red fluorescence during preparation of representative pictures of Figure 7E. Unfortunately, this error was not found in multiple revisions. The correct version of Figure 7E is shown below. The correction made in this Erratum does not affect the results and conclusions in this study. The authors apologize for any inconvenience the errors may have caused.


Chronic Kidney Disease Prediction Using Boosting Techniques Based On Clinical Parameters, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao Jan 2023

Chronic Kidney Disease Prediction Using Boosting Techniques Based On Clinical Parameters, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of yearly deaths. Predicting the possibility of a person being affected by the disease will allow timely diagnosis and precautionary measures leading to preventive strategies for health. Machine learning techniques have been popularly applied in various disease diagnoses and predictions. Ensemble learning approaches have become useful for predicting many complex diseases. In this paper, we utilise the boosting method, one of the popular ensemble learnings, to achieve a higher prediction accuracy for CKD. Five boosting algorithms are employed: XGBoost, CatBoost, LightGBM, AdaBoost, and gradient boosting. We experimented …


Optimal Ranking And Directional Signature Classification Using The Integral Strategy Of Multi-Objective Optimization-Based Association Rule Mining Of Multi-Omics Data, Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao Jan 2023

Optimal Ranking And Directional Signature Classification Using The Integral Strategy Of Multi-Objective Optimization-Based Association Rule Mining Of Multi-Omics Data, Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao

Faculty, Staff and Student Publications

No abstract provided.


Predictive Modeling Using Shape Statistics For Interpretable And Robust Quality Assurance Of Automated Contours In Radiation Treatment Planning, Zachary T Wooten, Cenji Yu, Laurence E Court, Christine B Peterson Jan 2023

Predictive Modeling Using Shape Statistics For Interpretable And Robust Quality Assurance Of Automated Contours In Radiation Treatment Planning, Zachary T Wooten, Cenji Yu, Laurence E Court, Christine B Peterson

Faculty, Staff and Student Publications

Deep learning methods for image segmentation and contouring are gaining prominence as an automated approach for delineating anatomical structures in medical images during radiation treatment planning. These contours are used to guide radiotherapy treatment planning, so it is important that contouring errors are flagged before they are used for planning. This creates a need for effective quality assurance methods to enable the clinical use of automated contours in radiotherapy. We propose a novel method for contour quality assurance that requires only shape features, making it independent of the platform used to obtain the images. Our method uses a random forest …


Grid Cells, Border Cells, And Discrete Complex Analysis, Yuri Dabaghian Jan 2023

Grid Cells, Border Cells, And Discrete Complex Analysis, Yuri Dabaghian

Faculty, Staff and Student Publications

We propose a mechanism enabling the appearance of border cells-neurons firing at the boundaries of the navigated enclosures. The approach is based on the recent discovery of discrete complex analysis on a triangular lattice, which allows constructing discrete epitomes of complex-analytic functions and making use of their inherent ability to attain maximal values at the boundaries of generic lattice domains. As it turns out, certain elements of the discrete-complex framework readily appear in the oscillatory models of grid cells. We demonstrate that these models can extend further, producing cells that increase their activity toward the frontiers of the navigated environments. …


Cytological Diagnosis Of Pilomatrixoma And Its Diagnostic Pitfalls, Sabina Khan, Inara Abeer, Musharraf Husain, Sujata Jetley Jan 2023

Cytological Diagnosis Of Pilomatrixoma And Its Diagnostic Pitfalls, Sabina Khan, Inara Abeer, Musharraf Husain, Sujata Jetley

Faculty, Staff and Student Publications

BACKGROUND: Pilomatrixoma (PMX) is a relatively uncommon benign cutaneous neoplasm arising from skin adnexa. It presents as a subcutaneous asymptomatic nodule mostly in the head and neck region and is frequently misdiagnosed by the clinicians. Although easily diagnosed on histopathology, the cytologic features of PMX are less distinctive, depending on the stage and evolution of disease and may mimic other benign or even malignant lesions.

AIM: To study the cyto-morphological features of this uncommon neoplasm and identify its potential diagnostic pitfalls on fine needle aspiration cytology (FNAC).

MATERIAL AND METHODS: Archival records of histopathologically diagnosed Pilomatrixoma were analyzed during study …


Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Diana T Mosa, Amena Mahmoud, John Zaki, Shaymaa E Sorour, Shaker El-Sappagh, Tamer Abuhmed Jan 2023

Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Diana T Mosa, Amena Mahmoud, John Zaki, Shaymaa E Sorour, Shaker El-Sappagh, Tamer Abuhmed

Faculty, Staff and Student Publications

This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several algorithms are utilized such as k-nearest neighbor, Random Forest (RF), C4.5, Artificial Neural Network, and Support Vector Machine (SVM). Their performance is assessed using anonymous patients' data. Then, a proposed double classifier based on Henry Gas Solubility Optimization (HGSO) is developed with Aquila optimizer (AQO). It is implemented for feature selection to classify patients' outcome status into four states. Those are mortality, morbidity, …


Retinal Alpha-Synuclein Accumulation Correlates With Retinal Dysfunction And Structural Thinning In The A53t Mouse Model Of Parkinson’S Disease, Katie K N Tran, Vickie H Y Wong, Anh Hoang, David I Finkelstein, Bang V Bui, Christine T O Nguyen Jan 2023

Retinal Alpha-Synuclein Accumulation Correlates With Retinal Dysfunction And Structural Thinning In The A53t Mouse Model Of Parkinson’S Disease, Katie K N Tran, Vickie H Y Wong, Anh Hoang, David I Finkelstein, Bang V Bui, Christine T O Nguyen

Faculty, Staff and Student Publications

Abnormal alpha-synuclein (α-SYN) protein deposition has long been recognized as one of the pathological hallmarks of Parkinson's disease's (PD). This study considers the potential utility of PD retinal biomarkers by investigating retinal changes in a well characterized PD model of α-SYN overexpression and how these correspond to the presence of retinal α-SYN. Transgenic A53T homozygous (HOM) mice overexpressing human α-SYN and wildtype (WT) control littermates were assessed at 4, 6, and 14  months of age (male and female,


Adrenal Venous Sampling In Primary Aldosteronism: Single-Centre Experience From Western India, Krantikumar Rathod, Saba S Memon, Punit Mahajan, Anurag Lila, Dhaval Thakkar, Hemant Deshmukh, Tushar Bandgar Jan 2023

Adrenal Venous Sampling In Primary Aldosteronism: Single-Centre Experience From Western India, Krantikumar Rathod, Saba S Memon, Punit Mahajan, Anurag Lila, Dhaval Thakkar, Hemant Deshmukh, Tushar Bandgar

Faculty, Staff and Student Publications

INTRODUCTION: The protocols and criteria used for adrenal venous sampling (AVS) differ across centres. There are no studies from the Indian subcontinent describing AVS-based outcomes in primary aldosteronism (PA). We aim to describe our experience from a single centre.

METHODS: Retrospective records from 2018 to 2020 of patients with confirmed PA who underwent AVS were reviewed. Clinical, imaging, AVS data and outcomes (as per PASO criteria) were recorded. AVS was performed by sequential sampling with cosyntropin stimulation with intraprocedural cortisol and cut-off of selectivity >5 and lateralization >4 by a single radiologist.

RESULTS: Fifteen patients with median age of 50 …


Effect Of Concurrent Mitral Valve Surgery For Secondary Mitral Regurgitation Upon Mortality After Aortic Valve Replacement Or Coronary Artery Bypass Surgery, Shyamal R Asher, Chin Siang Ong, Raymond J Malapero, Mahyar Heydarpour, Gregory W Malzberg, Jasmine T Shahram, Thy B Nguyen, Douglas C Shook, Stanton K Shernan, Prem Shekar, Tsuyoshi Kaneko, Rodolfo Citro, Jochen D Muehlschlegel, Simon C Body Jan 2023

Effect Of Concurrent Mitral Valve Surgery For Secondary Mitral Regurgitation Upon Mortality After Aortic Valve Replacement Or Coronary Artery Bypass Surgery, Shyamal R Asher, Chin Siang Ong, Raymond J Malapero, Mahyar Heydarpour, Gregory W Malzberg, Jasmine T Shahram, Thy B Nguyen, Douglas C Shook, Stanton K Shernan, Prem Shekar, Tsuyoshi Kaneko, Rodolfo Citro, Jochen D Muehlschlegel, Simon C Body

Faculty, Staff and Student Publications

OBJECTIVES: It is uncertain whether concurrent mitral valve repair or replacement for moderate or greater secondary mitral regurgitation at the time of coronary artery bypass graft or aortic valve replacement surgery improves long-term survival.

METHODS: Patients undergoing coronary artery bypass graft and/or aortic valve replacement surgery with moderate or greater secondary mitral regurgitation were reviewed. The effect of concurrent mitral valve repair or replacement upon long-term mortality was assessed while accounting for patient and operative characteristics and mitral regurgitation severity.

RESULTS: Of 1,515 patients, 938 underwent coronary artery bypass graft or aortic valve replacement surgery alone and 577 underwent concurrent …


Antimicrobial Activity Of Plasma Rich In Platelets (Prp) On The Ocular Microbiota Of Healthy Horses From Minas Gerais, Luis E C Torres, Camilo O Florez, Jéssica G Oliveira, Giovanna D Vieira, Ilza S Ribeiro, Kelly M Keller, Fabíola O P Leme, Priscila Fantini, Renata P A Maranhão Jan 2023

Antimicrobial Activity Of Plasma Rich In Platelets (Prp) On The Ocular Microbiota Of Healthy Horses From Minas Gerais, Luis E C Torres, Camilo O Florez, Jéssica G Oliveira, Giovanna D Vieira, Ilza S Ribeiro, Kelly M Keller, Fabíola O P Leme, Priscila Fantini, Renata P A Maranhão

Faculty, Staff and Student Publications

In equine ophthalmology, ulcerative keratitis is among the most common conditions and, in general, arises as a consequence of some trauma suffered. Secondarily, subsequent contamination by pathogenic or resident bacteria of the horse's ocular microbiota may have undesirable consequences. Under physiological conditions, the normal microbiota coexists with the immune status of the host, serving as a barrier, ensuring the health of the ocular surface, and inhibiting the proliferation of pathogens. However, in the imbalance of immune barriers, the normal microbiota can become pathogenic and lead to infection, acting as an opportunistic agent. The present study aims to demonstrate the antimicrobial …


Exosomal Lipid Biomarkers Of Oligodendrocyte Pathology To Predict Scoliosis In Children With Cerebral Palsy, Nune Darbinian, Emily C Sparks, Armine Darbinyan, Nana Merabova, Tamara Tatevosian-Geller, Katie Calaku, Sarah Bachman, Huaqing Zhao, Shohreh Amini, Laura Goetzl, Solomon P Samuel, Amer Samdani, Michael E Selzer Jan 2023

Exosomal Lipid Biomarkers Of Oligodendrocyte Pathology To Predict Scoliosis In Children With Cerebral Palsy, Nune Darbinian, Emily C Sparks, Armine Darbinyan, Nana Merabova, Tamara Tatevosian-Geller, Katie Calaku, Sarah Bachman, Huaqing Zhao, Shohreh Amini, Laura Goetzl, Solomon P Samuel, Amer Samdani, Michael E Selzer

Faculty, Staff and Student Publications

INTRODUCTION: Cerebral Palsy (CP), the most common cause of disability in children, is phenotypically heterogeneous. Approximately 20% of cases develop severe scoliosis. A pathological hallmark of CP is periventricular leukomalacia (PVL), which is due to dysmyelination, suggesting the possibility of a lipidomic abnormality. Risk factors for CP include perinatal hypoxia, prematurity, multiple gestation, ischemia, infection, and maternal alcohol consumption. There is evidence for low serum levels of omega-3 (ω-3) fatty acids in CP patients, and separately in idiopathic scoliosis. Many effects of free fatty acids (FFAs) are mediated via specific G protein-coupled free fatty acid receptors (FFARs), which play essential …


Maternal Blood Lipid Biomarkers Of Oligodendrocyte Pathology To Predict Fetal Alcohol Spectrum Disorders, Nune Darbinian, Emily C Sparks, Armine Darbinyan, Nana Merabova, Gabriel Tatevosian, Ekaterina Vadachkoria, Huaqing Zhao, Shohreh Amini, Laura Goetzl, Michael E Selzer Jan 2023

Maternal Blood Lipid Biomarkers Of Oligodendrocyte Pathology To Predict Fetal Alcohol Spectrum Disorders, Nune Darbinian, Emily C Sparks, Armine Darbinyan, Nana Merabova, Gabriel Tatevosian, Ekaterina Vadachkoria, Huaqing Zhao, Shohreh Amini, Laura Goetzl, Michael E Selzer

Faculty, Staff and Student Publications

INTRODUCTION: Up to 9.9% of children have fetal alcohol spectrum disorders (FASD), the most frequent cause of intellectual disability in the US. FASD may involve abnormal brain development, including dysmyelination, suggesting abnormal development of oligodendrocytes (OLs), which make myelin and are rich in lipids. Indeed, low serum levels of omega-3 fatty acids (ω-3) have been reported in FASD. Free fatty acids bind to specific receptors (FFARs). We have isolated cell type-specific fetal brain-derived exosomes (FB-E) from maternal blood and sampled their contents to search for lipid-related biomarkers that predict FASD.

METHODS: Blood samples were collected from two groups of pregnant …


Research On Cloud Manufacturing Service Recommendation Based On Graph Neural Network, Minghui Li, Xiaoqiu Shi, Yuqiang Shi, Yong Cai, Xuewen Dong Jan 2023

Research On Cloud Manufacturing Service Recommendation Based On Graph Neural Network, Minghui Li, Xiaoqiu Shi, Yuqiang Shi, Yong Cai, Xuewen Dong

Faculty, Staff and Student Publications

There are an increasing number of manufacturing service resources appeared on the cloud manufacturing (CMfg) service platform recently, which leads to a serious information overloading problem to the enterprises that need these resources. To tackle this problem, a graph neural network-based recommendation method for CMfg service resources is proposed, which effectively overcomes some limitations of the traditional recommendation methods. Specifically, we first use different similarity calculation methods (e.g., Cosine similarity, Pearson correlation coefficient, etc.) to calculate the similarities between different resources based on the feature information of CMfg service resources. A resource graph dataset is accordingly established. A graph neural …


Interpersonal Violence Against Women With Spinal Cord Injury: Adding Insult To Injury, Susan Robinson-Whelen, Rosemary B Hughes, Kimberley Aguillard, Diana Gonzalez, Heather B Taylor Jan 2023

Interpersonal Violence Against Women With Spinal Cord Injury: Adding Insult To Injury, Susan Robinson-Whelen, Rosemary B Hughes, Kimberley Aguillard, Diana Gonzalez, Heather B Taylor

Faculty, Staff and Student Publications

BACKGROUND: Mounting empirical evidence suggests that, compared to women without disabilities, women with disabilities are more likely to experience interpersonal violence (IPV). However, there is extremely limited research attention on IPV against women with spinal cord injury (SCI), a particularly understudied and underserved population.

OBJECTIVES: To conduct the first known examination of lifetime IPV experience in women with SCI, to explore demographic and disability-related correlates of IPV, and to examine the health impacts of IPV.

METHODS: The sample included 175 women with traumatic SCI from across the United States who enrolled in a randomized controlled trial of an online psychological …


Association Between Brain Similarity To Severe Mental Illnesses And Comorbid Cerebral, Physical, And Cognitive Impairments, Yizhou Ma, Mark D Kvarta, Bhim M Adhikari, Joshua Chiappelli, Xiaoming Du, Andrew Van Der Vaart, Eric L Goldwaser, Heather Bruce, Kathryn S Hatch, Si Gao, Ann Summerfelt, Neda Jahanshad, Paul M Thompson, Thomas E Nichols, L Elliot Hong, Peter Kochunov Jan 2023

Association Between Brain Similarity To Severe Mental Illnesses And Comorbid Cerebral, Physical, And Cognitive Impairments, Yizhou Ma, Mark D Kvarta, Bhim M Adhikari, Joshua Chiappelli, Xiaoming Du, Andrew Van Der Vaart, Eric L Goldwaser, Heather Bruce, Kathryn S Hatch, Si Gao, Ann Summerfelt, Neda Jahanshad, Paul M Thompson, Thomas E Nichols, L Elliot Hong, Peter Kochunov

Faculty, Staff and Student Publications

Severe mental illnesses (SMIs) are often associated with compromised brain health, physical comorbidities, and cognitive deficits, but it is incompletely understood whether these comorbidities are intrinsic to SMI pathophysiology or secondary to having SMIs. We tested the hypothesis that cerebral, cardiometabolic, and cognitive impairments commonly observed in SMIs can be observed in non-psychiatric individuals with SMI-like brain patterns of deviation as seen on magnetic resonance imaging. 22,883 participants free of common neuropsychiatric conditions from the UK Biobank (age = 63.4 ± 7.5 years, range = 45–82 years, 50.9% female) were split into discovery and replication samples. The regional vulnerability index …


Depression And Insomnia Among Healthcare Professionals During Covid-19 Pandemic In Ethiopia: A Systematic Review And Meta-Analysis, Aragaw Asfaw Hasen, Abubeker Alebachew Seid, Ahmed Adem Mohammed Jan 2023

Depression And Insomnia Among Healthcare Professionals During Covid-19 Pandemic In Ethiopia: A Systematic Review And Meta-Analysis, Aragaw Asfaw Hasen, Abubeker Alebachew Seid, Ahmed Adem Mohammed

Faculty, Staff and Student Publications

INTRODUCTION: Healthcare professionals play a great role in the struggle against COVID-19. They are highly susceptible to COVID-19 due to their responsibilities. This susceptibility directly affects their mental health status. Comprehensive evidence on prevalence of depression and insomnia during this pandemic is vital. Thus, this study aims to provide the pooled prevalence of depression and insomnia, and their associated factors during the COVID-19 pandemic.

MATERIALS AND METHODS: This systematic review and meta-analysis follow the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Studies were searched from PubMed, Cochrane Library, CrossRef, African Journals Online and Google Scholar databases from …


Interventional Gastroenterology In Oncology, Vaibhav Wadhwa, Nicole Patel, Dheera Grover, Faisal S Ali, Nirav Thosani Jan 2023

Interventional Gastroenterology In Oncology, Vaibhav Wadhwa, Nicole Patel, Dheera Grover, Faisal S Ali, Nirav Thosani

Faculty, Staff and Student Publications

Cancer is one of the foremost health problems worldwide and is among the leading causes of death in the United States. Gastrointestinal tract cancers account for almost one third of the cancer-related mortality globally, making it one of the deadliest groups of cancers. Early diagnosis and prompt management are key to preventing cancer-related morbidity and mortality. With advancements in technology and endoscopic techniques, endoscopy has become the core in diagnosis and management of gastrointestinal tract cancers. In this extensive review, the authors discuss the role endoscopy plays in early detection, diagnosis, and management of esophageal, gastric, colorectal, pancreatic, ampullary, biliary …


Within Subject Cross-Tissue Analyzes Of Epigenetic Clocks In Substance Use Disorder Postmortem Brain And Blood, Brenda Cabrera-Mendoza, Laura Stertz, Katherine Najera, Sudhakar Selvaraj, Antonio L Teixeira, Thomas D Meyer, Gabriel R Fries, Consuelo Walss-Bass Jan 2023

Within Subject Cross-Tissue Analyzes Of Epigenetic Clocks In Substance Use Disorder Postmortem Brain And Blood, Brenda Cabrera-Mendoza, Laura Stertz, Katherine Najera, Sudhakar Selvaraj, Antonio L Teixeira, Thomas D Meyer, Gabriel R Fries, Consuelo Walss-Bass

Faculty, Staff and Student Publications

There is a possible accelerated biological aging in patients with substance use disorders (SUD). The evaluation of epigenetic clocks, which are accurate estimators of biological aging based on DNA methylation changes, has been limited to blood tissue in patients with SUD. Consequently, the impact of biological aging in the brain of individuals with SUD remains unknown. In this study, we evaluated multiple epigenetic clocks (DNAmAge, DNAmAgeHannum, DNAmAgeSkinBlood, DNAmPhenoAge, DNAmGrimAge, and DNAmTL) in individuals with SUD (n = 42), including alcohol (n = 10), opioid (n = 19), and stimulant use disorder (n = 13), and controls (n = 10) in …


A Deep Residual Model For Characterization Of 5d Spatiotemporal Network Dynamics Reveals Widespread Spatiodynamic Changes In Schizophrenia, Behnam Kazemivash, Theo G M Van Erp, Peter Kochunov, Vince D Calhoun Jan 2023

A Deep Residual Model For Characterization Of 5d Spatiotemporal Network Dynamics Reveals Widespread Spatiodynamic Changes In Schizophrenia, Behnam Kazemivash, Theo G M Van Erp, Peter Kochunov, Vince D Calhoun

Faculty, Staff and Student Publications

Schizophrenia is a severe brain disorder with serious symptoms including delusions, disorganized speech, and hallucinations that can have a long-term detrimental impact on different aspects of a patient's life. It is still unclear what the main cause of schizophrenia is, but a combination of altered brain connectivity and structure may play a role. Neuroimaging data has been useful in characterizing schizophrenia, but there has been very little work focused on voxel-wise changes in multiple brain networks over time, despite evidence that functional networks exhibit complex spatiotemporal changes over time within individual subjects. Recent studies have primarily focused on static (average) …


Non-Canonical Pathways In The Pathophysiology And Therapeutics Of Bipolar Disorder, Rodrigo Machado-Vieira, Alan C Courtes, Carlos A Zarate, Ioline D Henter, Husseini K Manji Jan 2023

Non-Canonical Pathways In The Pathophysiology And Therapeutics Of Bipolar Disorder, Rodrigo Machado-Vieira, Alan C Courtes, Carlos A Zarate, Ioline D Henter, Husseini K Manji

Faculty, Staff and Student Publications

Bipolar disorder (BD) is characterized by extreme mood swings ranging from manic/hypomanic to depressive episodes. The severity, duration, and frequency of these episodes can vary widely between individuals, significantly impacting quality of life. Individuals with BD spend almost half their lives experiencing mood symptoms, especially depression, as well as associated clinical dimensions such as anhedonia, fatigue, suicidality, anxiety, and neurovegetative symptoms. Persistent mood symptoms have been associated with premature mortality, accelerated aging, and elevated prevalence of treatment-resistant depression. Recent efforts have expanded our understanding of the neurobiology of BD and the downstream targets that may help track clinical outcomes and …


Development And Internal Validation Of A Novel Nomogram For Predicting Lymph Node Invasion For Prostate Cancer Patients Undergoing Extended Pelvic Lymph Node Dissection, Zhen Li, Yixin Huang, Diwei Zhao, Xin Luo, Zeshen Wu, Xinyi Zheng, Ye Xie, Yixuan Liu, Jianwei Wu, Yulu Peng, Yonghong Li, Fangjian Zhou Jan 2023

Development And Internal Validation Of A Novel Nomogram For Predicting Lymph Node Invasion For Prostate Cancer Patients Undergoing Extended Pelvic Lymph Node Dissection, Zhen Li, Yixin Huang, Diwei Zhao, Xin Luo, Zeshen Wu, Xinyi Zheng, Ye Xie, Yixuan Liu, Jianwei Wu, Yulu Peng, Yonghong Li, Fangjian Zhou

Faculty, Staff and Student Publications

BACKGROUND: Few studies have focused on the performance of Briganti 2012, Briganti 2017 and MSKCC nomograms in the Chinese population in assessing the risk of lymph node invasion(LNI) in prostate cancer(PCa) patients and identifying patients suitable for extended pelvic lymph node dissection(ePLND). We aimed to develop and validate a novel nomogram based on Chinese PCa patients treated with radical prostatectomy(RP) and ePLND for predicting LNI.

METHODS: We retrospectively retrieved clinical data of 631 patients with localized PCa receiving RP and ePLND at a Chinese single tertiary referral center. All patients had detailed biopsy information from experienced uropathologist. Multivariate logistic-regression analyses …


Novel Compound Heterozygous Variants In The Ush2a Gene Associated With Autosomal Recessive Retinitis Pigmentosa Without Hearing Loss, Yanxia Huang, Lamei Yuan, Guiyun He, Yanna Cao, Xiong Deng, Hao Deng Jan 2023

Novel Compound Heterozygous Variants In The Ush2a Gene Associated With Autosomal Recessive Retinitis Pigmentosa Without Hearing Loss, Yanxia Huang, Lamei Yuan, Guiyun He, Yanna Cao, Xiong Deng, Hao Deng

Faculty, Staff and Student Publications

Background: Retinitis pigmentosa (RP) is a group of progressive inherited retinal dystrophies characterized by the primary degeneration of rod photoreceptors and the subsequent loss of cone photoreceptors because of cell death. It is caused by different mechanisms, including inflammation, apoptosis, necroptosis, pyroptosis, and autophagy. Variants in the usherin gene (USH2A) have been reported in autosomal recessive RP with or without hearing loss. In the present study, we aimed to identify causative variants in a Han-Chinese pedigree with autosomal recessive RP.

Methods: A six-member, three-generation Han-Chinese family with autosomal recessive RP was recruited. A full clinical examination, whole exome …