Digital Commons Network^™

Allied Dental Students' Perceived Knowledge, Confidence, And Attitudes Regarding Disaster Victim Identification Topics, Samantha C. Vest, Brenda T. Bradshaw, Marsha A. Voelker, Ann M. Bruhn, Tara L. Newcomb, Sinjini Sikdar

Dental Hygiene Faculty Publications

Purpose Disaster victim identification (DVI) service requires knowledge, confidence, and an attitude (KCA) of readiness. The purpose of this study was to assess allied dental students’ perceived KCA regarding DVI skills and topics.

Methods A convenience sample of senior dental hygiene students (n=27) and senior dental assistant students (n=14) were recruited by email then presented mismatched simulated antemortem (AM) and postmortem (PM) bitewing radiographs and asked to indicate correct matches. Collectively, participants made 205 radiographic matches and indicated 205 degrees of certainty binarily as “positive” or “possible” (one per match). Participants also completed a researcher designed pretest/posttest electronic survey with …

Sillyputty: Improved Clustering By Optimizing The Silhouette Width, Polina Bombina, Dwayne Tally, Zachary B. Abrams, Kevin R. Coombes

2020-Current year OA Pubs

Clustering is an important task in biomedical science, and it is widely believed that different data sets are best clustered using different algorithms. When choosing between clustering algorithms on the same data set, reseachers typically rely on global measures of quality, such as the mean silhouette width, and overlook the fine details of clustering. However, the silhouette width actually computes scores that describe how well each individual element is clustered. Inspired by this observation, we developed a novel clustering method, called SillyPutty. Unlike existing methods, SillyPutty uses the silhouette width for individual elements as a tool to optimize the mean …

Adjusting For Covariates Representing Potential Confounders, Mediators, Or Competing Predictors In The Presence Of Measurement Error: Dispelling A Potential Misapprehension And Insights For Optimal Study Design With Nutritional Epidemiology Examples, Roger S Zoh, Diana M Thomas, Carmen D Tekwe, Xiaoxin Yu, Colby J Vorland, Nikhil V Dhurandhar, David M Klurfeld, David B Allison

Children’s Nutrition Research Center Staff Publications

Background: Variables such as dietary intake are measured with error yet frequently used in observational epidemiology. Although this limitation is sometimes noted, these variables are still often modeled as covariates without formal correction or sincere dialogue about measurement unreliability potentially weakening the validity of statistical conclusions. Further, larger sample sizes increase power (bias) to detect spurious correlations. Counterintuitively, recent work suggested a non-monotonic relationship between confounder unreliability and how much controlling for the confounder reduces (or induces) bias when testing for an exposure-outcome association. If true, such non-monotonicity would be especially concerning for applications such as nutrition, where measurement reliability …

Trio Rvemvs: A Bayesian Framework For Rare Variant Association Analysis With Expectation-Maximization Variable Selection Using Family Trio Data, Duo Yu, Matthew Koslovsky, Margaret C Steiner, Kusha Mohammadi, Chenguang Zhang, Michael D Swartz

Faculty, Staff and Student Publications

It is commonly reported that rare variants may be more functionally related to complex diseases than common variants. However, individual rare variant association tests remain challenging due to low minor allele frequency in the available samples. This paper proposes an expectation maximization variable selection (EMVS) method to simultaneously detect common and rare variants at the individual variant level using family trio data. TRIO_RVEMVS was assessed in both large (1500 families) and small (350 families) datasets based on simulation. The performance of TRIO_RVEMVS was compared with gene-level kernel and burden association tests that use pedigree data (PedGene) and rare-variant extensions of …

An Objective Assessment Of Neuromotor Control Using A Smartphone App After Repeated Subconcussive Blast Exposure, Charlend K. Howard, Masahiro Yamada, Marcia Dovel, Rie Leverett, Alexander Hill, Kenneth A. Manlapaz, David O. Keyser, Rene S. Hernandez, Sheilah S. Rowe, Walter S. Carr, Michael S. Roy, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast …

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

Explainable Suicide Phenotyping From Initial Psychiatric Evaluation Notes Using Reasoning Large Language Models, Zehan Li, Wanjing Wang, Lokesh Shahani, Rodrigo M Vieira, Salih Selek, Jair Soares, Hongfang Liu, Ming Huang

Faculty, Staff and Student Publications

Clinical phenotyping is the process of extracting patient's observable symptoms and traits to better understand their disease condition. Suicide phenotyping focuses more on behavioral and cognitive characteristics, such as suicide ideation, attempt, and self-injury, to identify suicide risks and improve interventions. In this study, we leveraged the latest reasoning models, namely 4o, o1, and o3-mini, to perform note-level multi-label classification and reasoning generation tasks using previously annotated psychiatric evaluation notes from a safety-net psychiatric inpatient hospital in Harris County, Texas. Compared with the previously finetuned GPT-3.5 model, the out-of-box reasoning models prompted with in-context learning achieved comparable and better performance, …

Computer-Aided Craniofacial Superimposition Validation Study: The Identification Of The Leaders And Participants Of The Polish-Lithuanian January Uprising (1863–1864), Rubén Martos, Rosario Guerra, Fernando Navarro, Michela Peruch, Kevin Neuwirth, Andrea Valsecchi, Rimantas Jankauskas, Oscar Ibáñez

Faculty, Staff and Student Publications

In 2017, a series of human remains corresponding to the executed leaders of the "January Uprising" of 1863-1864 were uncovered at the Upper Castle of Vilnius (Lithuania). During the archeological excavations, 14 inhumation pits with the human remains of 21 individuals were found at the site. The subsequent identification process was carried out, including the analysis and cross-comparison of post-mortem data obtained in situ and in the lab with ante-mortem data obtained from historical archives. In parallel, three anthropologists with diverse backgrounds in craniofacial identification and two students without previous experience attempted to identify 11 of these 21 individuals using …

Combining Neuroimaging And Brain Stimulation To Test Alternative Causal Pathways For Nicotine Addiction In Schizophrenia, Xiaoming Du, Fow-Sen Choa, Joshua Chiappelli, Heather Bruce, Mark Kvarta, Ann Summerfelt, Yizhou Ma, William T Regenold, Kevin Walton, George F Wittenberg, Stephanie Hare, Si Gao, Andrew Van Der Vaart, Zhiwei Zhao, Shuo Chen, Peter Kochunov, L Elliot Hong

Faculty, Staff and Student Publications

The smoking rate is high in patients with schizophrenia. Brain stimulation targeting conventional brain circuits associated with nicotine addiction has also yielded mixed results. We aimed to identify alternative circuitries associated with nicotine addiction in both the general population and schizophrenia, and then test whether modulation of such circuitries may alter nicotine addiction behaviors in schizophrenia. In Study I of 40 schizophrenia smokers and 51 non-psychiatric smokers, cross-sectional neuroimaging analysis identified resting state functional connectivity (rsFC) between the dorsomedial prefrontal cortex (dmPFC) and multiple extended amygdala regions to be most robustly associated with nicotine addiction severity in healthy controls and …

Early-Phase Insulin Secretion During Mixed-Meal Tolerance Testing Predicts Β-Cell Function And Secretory Capacity In Cystic Fibrosis, Saba Sheikh, Darko Stefanovski, Marissa J Kilberg, Denis Hadjiliadis, Ronald C Rubenstein, Michael R Rickels, Andrea Kelly

2020-Current year OA Pubs

UNLABELLED: Insulin secretion within 30 minutes of nutrient ingestion is reduced in people with cystic fibrosis (PwCF) and pancreatic insufficiency and declines with worsening glucose tolerance. The glucose potentiated arginine (GPA) test is validated for quantifying β-cell secretory capacity as an estimate of functional β-cell mass but requires technical expertise and is burdensome. This study sought to compare insulin secretion during mixed-meal tolerance testing (MMTT) to GPA-derived parameters in PwCF.

METHODS: Secondary data analysis of CF-focused prospective studies was performed in PwCF categorized as 1) pancreatic insufficient [PI-CF] or 2) pancreatic sufficient [PS-CF] and in 3) non-CF controls. MMTT: insulin …

The Ithildin Library For Efficient Numerical Solution Of Anisotropic Reaction-Diffusion Problems In Excitable Media, Desmond Kabus, Marie Cloet, Christian Zemlin, Olivier Bernus, Hans Dierckx

2020-Current year OA Pubs

Ithildin is an open-source library and framework for efficient parallelized simulations of excitable media, written in the C++ programming language. It uses parallelization on multiple CPU processors via the message passing interface (MPI). We demonstrate the library's versatility through a series of simulations in the context of the monodomain description of cardiac electrophysiology, including the S1S2 protocol, spiral break-up, and spiral waves in ventricular geometry. Our work demonstrates the power of Ithildin as a tool for studying complex wave patterns in cardiac tissue and its potential to inform future experimental and theoretical studies. We publish our full code with this …

A Neural Mechanism For Conserved Value Computations Integrating Information And Rewards, Ethan S Bromberg-Martin, Yang-Yang Feng, Takaya Ogasawara, J Kael White, Kaining Zhang, Ilya E Monosov

2020-Current year OA Pubs

Behavioral and economic theory dictate that we decide between options based on their values. However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is unknown. Here, we show that human and monkey value judgements obey strikingly conserved computational principles during multi-attribute decisions trading off information and extrinsic reward. We then identify a neural substrate in a highly conserved ancient structure, the lateral habenula (LHb). LHb …

Incidence Of Diabetes After Sars-Cov-2 Infection In England And The Implications Of Covid-19 Vaccination: A Retrospective Cohort Study Of 16 Million People, Kurt Taylor, Sophie Eastwood, Venexia M. Walker, Genevieve Cezard, Rochelle Knight, Marwa Al Arab, Yinghui Wei, Elsie M.F. Horne, Lucy Teece, Harriet Forbes, Alex Walker, Louis Fisher, Jon Massey, Lisa Hopcraft, Tom Palmer, Jose Ignacio Cuitun Coronado, Samantha Ip, Simon Davy, Iain Dillingham, Caroline Morton, Felix Greaves, John Macleod, Ben Goldacre, Angela Wood, Nishi Chaturvedi, Jonathan A.C. Sterne, Rachel Denholm, The Opensafely Collaborative

School of Engineering, Computing and Mathematics

Background: Some studies have shown that the incidence of type 2 diabetes increases after a diagnosis of COVID-19, although the evidence is not conclusive. However, the effects of the COVID-19 vaccine on this association, or the effect on other diabetes subtypes, are not clear. We aimed to investigate the association between COVID-19 and incidence of type 2, type 1, gestational and non-specific diabetes, and the effect of COVID- 19 vaccination, up to 52 weeks after diagnosis. Methods: In this retrospective cohort study, we investigated the diagnoses of incident diabetes following COVID-19 diagnosis in England in a pre-vaccination, vaccinated, and unvaccinated …

Double Testing With Lateral Flow Antigen Test Devices For Covid-19: Does A Second Test In Quick Succession Add Value?, Matthias E Futschik, Sarah A Tunkel, Elena Turek, David Chapman, Zareen Thorlu-Bangura, Raghavendran Kulasegaran-Shylini, Edward Blandford, Andrew Dodgson, Paul E Klapper, Malur Sudhanva, Derrick Crook, John Bell, Susan Hopkins, Tim Peto, Tom Fowler

School of Biomedical Sciences

BACKGROUND/OBJECTIVES: We investigated if performing two lateral flow device (LFD) tests, LFD2 immediately after LFD1, could improve diagnostic sensitivity or specificity for detecting severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) antigen.

STUDY DESIGN: Individuals aged ≥16 years attending UK community testing sites (February-May 2021) performed two successive LFD tests and provided a nose-and-throat sample for a polymerase chain reaction (PCR) test. Using the PCR result as the reference diagnosis, we assessed whether improvements could be achieved in sensitivity (by counting a positive result in either LFD as a positive overall test result) or specificity (by using LFD2 as confirmatory test). …

A Comprehensive Meta-Analysis Of Tissue Resident Memory T Cells And Their Roles In Shaping Immune Microenvironment And Patient Prognosis In Non-Small Cell Lung Cancer, Aidan Shen, Aliesha Garrett, Cheng-Chi Chao, Dongliang Liu, Chao Cheng, Zhaohui Wang, Chen Qian, Yangzhi Zhu, Junhua Mai, Chongming Jiang

Faculty, Staff and Students Publications

Tissue-resident memory T cells (TRM) are a specialized subset of long-lived memory T cells that reside in peripheral tissues. However, the impact of TRM-related immunosurveillance on the tumor-immune microenvironment (TIME) and tumor progression across various non-small-cell lung cancer (NSCLC) patient populations is yet to be elucidated. Our comprehensive analysis of multiple independent single-cell and bulk RNA-seq datasets of patient NSCLC samples generated reliable, unique TRM signatures, through which we inferred the abundance of TRM in NSCLC. We discovered that TRM abundance is consistently positively correlated with CD4+ T helper 1 cells, M1 macrophages, and resting dendritic cells in the TIME. …

Diagnostic Value Of Soluble Urokinase-Type Plasminogen Activator Receptor In Patients With Acute Coronary Syndrome: A Systematic Review And Meta-Analysis, Michal Pruc, Iwona Jannasz, Damian Swieczkowski, Grzegorz Procyk, Aleksandra Gasecka, Zubaid Rafique, Francesco Chirico, Nicola Luigi Bragazzi, Milosz J Jaguszewski, Jaroslaw Wysocki, Lukasz Szarpak

Faculty, Staff and Students Publications

BACKGROUND: In contemporary clinical practice, there is an increasing need for new clinically relevant biomarkers potentially optimizing management strategies in patients with suspected acute coronary syndrome (ACS). This study aimed to determine the diagnostic utility of soluble urokinase-type plasminogen activator receptor (suPAR) levels in individuals with suspected ACS.

METHODS: A literature search was performed in Web of Science, PubMed, Scopus, and the Cochrane Central Register of Controlled Trials databases, for studies comparing suPAR levels among patients with and without ACS groups. The methodological quality of the included papers was assessed using the Newcastle-Ottawa Scale (NOS). A fixed-effects model was used …

Advances In Nanoprobes For Molecular Mri Of Alzheimer’S Disease, Parag Parekh, Andrew A Badachhape, Eric A Tanifum, Ananth V Annapragada, Ketan B Ghaghada

Faculty, Staff and Students Publications

Alzheimer's disease is the most common cause of dementia and a leading cause of mortality in the elderly population. Diagnosis of Alzheimer's disease has traditionally relied on evaluation of clinical symptoms for cognitive impairment with a definitive diagnosis requiring post-mortem demonstration of neuropathology. However, advances in disease pathogenesis have revealed that patients exhibit Alzheimer's disease pathology several decades before the manifestation of clinical symptoms. Magnetic resonance imaging (MRI) plays an important role in the management of patients with Alzheimer's disease. The clinical availability of molecular MRI (mMRI) contrast agents can revolutionize the diagnosis of Alzheimer's disease. In this article, we …

Recent Trends In The Incidence Of Gastric Cancer In The United States, Kyle S Liu, Syed Ahsan Raza, Hashem B El-Serag, Aaron P Thrift

Faculty, Staff and Students Publications

BACKGROUND: Gastric cancer (GC) incidence rates overall in the United States have declined over recent decades and are predicted to continue declining. However, there have been mixed recent findings regarding the potential stabilization of rates and potential divergent trends by age group. We used the most recent cancer data for the United States and examined trends in GC between 1992 and 2019, overall and in important subgroups of the population.

METHODS: Age-adjusted GC incidence rates and trends in adults 20 years or older were calculated using data from the Surveillance, Epidemiology, and End Results (SEER) 12 program. Secular trends were …

Role Of Apolipoprotein B In The Clinical Management Of Cardiovascular Risk In Adults: An Expert Clinical Consensus From The National Lipid Association, Daniel E Soffer, Nicholas A Marston, Kevin C Maki, Terry A Jacobson, Vera A Bittner, Jessica M Peña, George Thanassoulis, Seth S Martin, Carol F Kirkpatrick, Salim S Virani, Dave L Dixon, Christie M Ballantyne, Alan T Remaley

Faculty, Staff and Students Publications

This National Lipid Association (NLA) Expert Clinical Consensus provides an overview of the physiologic and clinical considerations regarding the role of apolipoprotein B (apoB) measurement to guide clinical care based on the available scientific evidence and expert opinion. ApoB represents the total concentration of atherogenic lipoprotein particles in the circulation and more accurately reflects the atherogenic burden of lipoproteins when compared to low-density lipoprotein cholesterol (LDL-C). ApoB is a validated clinical measurement that augments the information found in a standard lipoprotein lipid panel; therefore, there is clinical value in using apoB in conjunction with a standard lipoprotein lipid profile when …

Efficacy Of Etripamil Nasal Spray For Acute Conversion Of Supraventricular Tachycardia: A Network Meta-Analysis, Adam Macech, Nicola Luigi Bragazzi, Francesco Chirico, Basar Cander, Michal Pruc, Zubaid Rafique, William Frank Peacock, Arash Ziapour, Lukasz Szarpak, Anna Salak, Milosz J Jaguszewski

Faculty, Staff and Students Publications

No abstract provided.

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Identifying New Cancer Genes Based On The Integration Of Annotated Gene Sets Via Hypergraph Neural Networks, Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation

Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited.

Results

Here, we present the DIsease-Specific Hypergraph neural network (DISHyper), a hypergraph-based computational method that integrates the knowledge from multiple types of annotated gene sets to predict cancer genes. First, our benchmark results demonstrate that DISHyper outperforms the existing state-of-the-art methods and highlight the advantages of …

Hite: A Fast And Accurate Dynamic Boundary Adjustment Approach For Full-Length Transposable Element Detection And Annotation, Kang Hu, Peng Ning, Minghua Xu, You Zou, Jianye Chang, Xin Gao, Yaohang Li, Jue Ruan, Bin Hu, Jianxin Wang

Computer Science Faculty Publications

Recent advancements in genome assembly have greatly improved the prospects for comprehensive annotation of Transposable Elements (TEs). However, existing methods for TE annotation using genome assemblies suffer from limited accuracy and robustness, requiring extensive manual editing. In addition, the currently available gold-standard TE databases are not comprehensive, even for extensively studied species, highlighting the critical need for an automated TE detection method to supplement existing repositories. In this study, we introduce HiTE, a fast and accurate dynamic boundary adjustment approach designed to detect full-length TEs. The experimental results demonstrate that HiTE outperforms RepeatModeler2, the state-of-the-art tool, across various species. Furthermore, …

Siglec15, Negatively Correlated With Pd-L1 In Hcc, Could Induce Cd8+ T Cell Apoptosis To Promote Immune Evasion, Zheng Chen, Mincheng Yu, Bo Zhang, Lei Jin, Qiang Yu, Shuang Liu, Binghai Zhou, Jiuliang Yan, Wentao Zhang, Xiaoqiang Li, Yongfeng Xu, Yongsheng Xiao, Jian Zhou, Jia Fan, Mien-Chie Hung, Qinghai Ye, Hui Li, Lei Guo

Faculty, Staff and Student Publications

Functional roles of SIGLEC15 in hepatocellular carcinoma (HCC) were not clear, which was recently found to be an immune inhibitor with similar structure of inhibitory B7 family members. SIGLEC15 expression in HCC was explored in public databases and further examined by PCR analysis. SIGLEC15 and PD-L1 expression patterns were examined in HCC samples through immunohistochemistry. SIGLEC15 expression was knocked-down or over-expressed in HCC cell lines, and CCK8 tests were used to examine cell proliferative ability in vitro. Influences of SIGLEC15 expression on tumor growth were examined in immune deficient and immunocompetent mice respectively. Co-culture system of HCC cell lines and …

Twenty Years Of Epithelial-Mesenchymal Transition: A State Of The Field From Temtia X, Pierre Savagner, Thomas Brabletz, Chonghui Cheng, Christine Gilles, Tian Hong, Myriam Polette, Guojun Sheng, Marc P Stemmler, Erik W Thompson

Faculty, Staff and Students Publications

This report summarizes the 10th biennial meeting of The Epithelial Mesenchymal Transition International Association (TEMTIA), that took place in Paris on November 7-10, 2022. It provides a short but comprehensive introduction to the presentations and discussions that took place during the 3-day meeting. Similarly to previous TEMTIA meetings, TEMTIA X reviewed the most recent aspects of the epithelial-mesenchymal transition (EMT), a cellular process involved during distinct stages of development but also during wound healing and fibrosis to some degree. EMT has also been associated at various levels during tumor cell progression and metastasis. The meeting emphasized the intermediate stages of …

One Hundred Years Of Eeg For Brain And Behaviour Research, Faisal Mushtaq, Dominik Welke, Anne Gallagher, Yuri G Pavlov, Layla Kouara, Jorge Bosch-Bayard, Jasper J F Van Den Bosch, Mahnaz Arvaneh, Amy R Bland, Maximilien Chaumon, Cornelius Borck, Xun He, Steven J Luck, Maro G Machizawa, Cyril Pernet, Aina Puce, Sidney J Segalowitz, Christine Rogers, Muhammad Awais, Claudio Babiloni, Neil W Bailey, Sylvain Baillet, Robert C A Bendall, Daniel Brady, Maria L Bringas-Vega, Niko A Busch, Ana Calzada-Reyes, Armand Chatard, Peter E Clayson, Michael X Cohen

School of Psychology

On the centenary of the first human EEG recording, more than 500 experts reflect on the impact that this discovery has had on our understanding of the brain and behaviour. We document their priorities and call for collective action focusing on validity, democratization and responsibility to realize the potential of EEG in science and society over the next 100 years.

Single-Pulse Electrical Stimulation Artifact Removal Using The Novel Matching Pursuit-Based Artifact Reconstruction And Removal Method (Mparrm), Tao Xie, Thomas J Foutz, Markus Adamek, James R Swift, Cory S Inman, Joseph R Manns, Eric C Leuthardt, Jon T Willie, Peter Brunner

2020-Current year OA Pubs

No abstract provided.

Genomic Loci Influence Patterns Of Structural Covariance In The Human Brain, Junhao Wen, Aristeidis Sotiras, Daniel S Marcus, Pamela Lamontagne, John C Morris, Et Al.

2020-Current year OA Pubs

Normal and pathologic neurobiological processes influence brain morphology in coordinated ways that give rise to patterns of structural covariance (PSC) across brain regions and individuals during brain aging and diseases. The genetic underpinnings of these patterns remain largely unknown. We apply a stochastic multivariate factorization method to a diverse population of 50,699 individuals (12 studies and 130 sites) and derive data-driven, multi-scale PSCs of regional brain size. PSCs were significantly correlated with 915 genomic loci in the discovery set, 617 of which are newly identified, and 72% were independently replicated. Key pathways influencing PSCs involve reelin signaling, apoptosis, neurogenesis, and …

Bacterial Outer Membrane Vesicles Provide An Alternative Pathway For Trafficking Of Escherichia Coli O157 Type Iii Secreted Effectors To Epithelial Cells, Natalie Sirisaengtaksin, Eloise J O'Donoghue, Sara Jabbari, Andrew J Roe, Anne Marie Krachler

Faculty, Staff and Student Publications

Outer membrane vesicles (OMVs) are proteoliposomes shed by Gram-negative bacteria. Their secretion is enhanced by the transition into the intra-host milieu, and OMVs play critical roles during pathogenesis. Enterohemorrhagic Escherichia coli O157 (EHEC) can cause diarrheal disease in humans, and soluble toxins including Shiga-like toxins that contribute to disease severity and clinical complications like hemolytic uremic syndrome have been shown to be OMV associated. In addition to Shiga-like toxins, EHEC produces a type III secretion system (T3SS), and T3SS effectors are associated with colonization and disease severity in vivo. Here, we show that type III secreted substrates including translocators …