Digestive System Commons^™

Dietary Intake Of Micro- And Nanoplastics: Potential Adverse Gi Effects On Microbiome, Inflammation, And Neoplasia, Michael Saadeh, Gordon Hong, Sana Rabeeah, Priyata Dutta, Edward C. Oldfield, Iv, David A. Johnson

Department of Medicine Faculty Publications

Micro- and nanoplastics (MNPs) are pervasive in food-contact environments and the human diet, positioning the gastrointestinal (GI) tract as the primary portal of entry and a plausible site of early biological effects. Human exposure is supported by detection of microplastics in stool and colon tissue, and emerging clinical studies report associations between fecal microplastic burden and GI disease states, including inflammatory bowel disease (IBD) and colorectal cancer (CRC). Preclinical studies provide mechanistic plausibility, reporting that ingested MNPs can modulate microbial ecology, alter mucus membrane integrity, increase intestinal permeability through changes in cellular tight junction biology, and induce inflammatory gene expression. …

Comparison Of Fully Covered Self-Expandable Metal Biliary Stents With Or Without Anchoring Double-Pigtail Plastic Stents: A Systematic Review And Meta-Analysis, Samuel Tanner, Fadi Hawa, Alejandra Vargas, Priyata Dutta, Antonio Facciorusso, Jean M. Chalhoub, Jorge D. Machicado

Department of Medicine Faculty Publications

Background and AIMS

Fully covered self-expandable metal stents (FcSEMSs) have become the mainstay of treatment for a variety of biliary pathologies. However, FcSEMSs have been associated with a greater rate of stent migration than other types of stents. A technique of anchoring double-pigtail plastic stents (DPPSs) has been proposed to minimize migration of biliary FcSEMSs. Herein, we evaluated the efficacy of anchoring DPPSs among patients treated with biliary FcSEMSs.

Methods

We performed a systematic review using PubMed, EMBASE, and Web of Science from database inception through August 2023. Full-text articles comparing FcSEMSs with or without anchoring DPPSs were included. We …

Pilot Study On The Use Of Multimorbidity Index In Patients Receiving Home Parenteral Nutrition, Michael M. Rothkopf, Mohan Pant, Zachary Rothkopf, Rebecca Brown Rdn, Jaime Haselhorst Rdn, Debbie L. Stevenson Rdn, Andrew Depalma Mba, Michael Saracco

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background

Home parenteral nutrition (HPN) patients often have multiple comorbidities. A validated multimorbidity index (MMI) could help determine resource needs and risks with HPN. We evaluated MMI scoring to determine if it predicted HPN resource use and outcomes.

Methods

We performed a secondary analysis of 60 HPN patients from a previous study based on Cumulative Illness Rating Scale (CIRS) scoring. We examined three variables: PN formula changes, hospitalizations, and hospital length of stay (LOS). Density plots were produced to select a CIRS score cutoff value. Spearman correlations among the three variables of interest were computed. The data were then subjected …

Surgical Management Of Gastroenteropancreatic Neuroendocrine Tumors, Lisa M. Kenney, Marybeth Hughes

Department Surgery Faculty Publications

Background/Objectives: Neuroendocrine tumors (NETs) are heterogeneous malignancies arising from enterochromaffin cells that can arise from the gastrointestinal (GI) tract and pancreas. Surgical management is the cornerstone of treatment, with the optimal approach tailored by tumor grade, size, location, and presence of metastasis. This review discusses the current strategies for the surgical management of NETs of the gastroenteropancreatic tract. Methods: A review of the available literature was conducted to evaluate surgical approaches to NETs. Consensus guidelines were incorporated to synthesize evidence-based recommendations. Results: For gastric NETs, surgical approach depends on Rindi Classification, WHO grade, and tumor size, with endoscopic approaches favored …

Effects Of Food Bar Chewing Duration On The Physiologic, Metabolic, And Perceptual Responses To Moderate-Intensity Running, Thomas R. Geaney, Zachary A. Sievert, J. David Branch, Patrick B. Wilson

Exercise Science Faculty Publications

Purpose

Chewing duration can affect food particle size, gastric processing, and postprandial glycemia, but these effects have not been investigated with exercise. This study examined how the chewing duration of a food bar impacts glycemic and metabolic responses, gastrointestinal (GI) symptoms, psychological affect, and performance during endurance running.

Methods

This randomized, unblinded, crossover study had 15 males (35.2 ± 7.4 years, VO_2peak: 56.1 ± 5.2 ml/kg/min) attend three laboratory visits. Visit 1 required a VO_2peak test, 10 min familiarization run at 60% VO2peak, and familiarization time-to-exhaustion (TTE) test (10 min at 90% VO_2peak, followed by …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …

Socioeconomic Status And Health Disparities Drive Differences In Accelerometer-Derived Physical Activity In Fatty Liver Disease And Significant Fibrosis, Lucia Tabacu, Sajag Swami, Mark Ledbetter, Mohamad S. Siddiqui, Ekaterina Smirnova

Mathematics & Statistics Faculty Publications

Background and aims

The cornerstone of clinical management of patients with nonalcoholic fatty liver disease (NAFLD) are lifestyle changes such as increasing physical activity (PA) aimed at improving cardiometabolic risk. To inform NAFLD prevention and treatment guidelines we aimed to: (i) quantify the role of PA on lowering the risk for NAFLD and fibrosis; (ii) characterize NAFLD and fibrosis association with PA in the context of socioeconomic environment.

Methods

A sample of 2648 participants from the NHANES 2003–2006 was selected to develop survey weighted multivariable logistic regression models for predicting NAFLD and significant fibrosis, diagnosed non-invasively via fatty liver index …

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 …

Prevalence Of Gastrointestinal Symptoms Among Autistic Individuals, With And Without Co-Occurring Intellectual Disability, Calliope Holingue, Danika Pfeiffer, Natasha N. Ludwig, Rachel Reetzke, Ji Su Hong, Luther G. Kalb, Rebecca Landa

Communication Disorders & Special Education Faculty Publications

Gastrointestinal symptoms (GI) are very common among individuals on the autism spectrum. Prior research reports mixed findings regarding whether individuals with autism and co-occurring intellectual disability (ID) have elevated risk of gastrointestinal symptoms relative to individuals with autism alone. GI symptoms can be challenging to assess in individuals with autism spectrum disorder (ASD) and/or ID given challenges with language, communication, and interoception. Prior research has tended to only include individuals with documented presence or absence of GI symptoms or conditions, that is, to exclude observations in which there is uncertainty regarding presence of GI symptoms. Therefore, none of the prior …

Identifying The Serious Clinical Outcomes Of Adverse Reactions To Drugs By A Multi-Task Deep Learning Framework, Haochen Zhao, Peng Ni, Qichang Zhao, Xiao Liang, Di Ai, Shannon Erhardt, Jun Wang, Yaohang Li, Jiianxin Wang

Computer Science Faculty Publications

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance and drug monitoring prove to be costly and time-consuming, computational methods have emerged as promising alternatives. However, most existing computational methods primarily focus on predicting whether or not the drug is associated with an adverse reaction and do not consider the core issue of drug benefit-risk assessment-whether the treatment outcome is serious when adverse drug reactions occur. To this end, we categorize serious clinical outcomes caused by adverse reactions to drugs into seven distinct classes and present a deep learning framework, so-called GCAP, for predicting the …

Perspective On Macroscale Complexity In The National Transplant System, Morgan Stuart, Andrew Placona, Gabe Vece, Kelsi Lindblad, Saikou Diallo, Bob Carrico

VMASC Publications

We present a perspective of the national transplant program based on organizational theory and complexity theory, framing the system’s allocation of donor organs as an interorganizational directed multiplex of agents with diverse belief formation in a cooperative-competitive environment. Simulation and analysis of this macroscale complexity may help explain known behavioural variations across member organizations. However, the transplant community still relies on system-scale simulations since effective macroscale methodologies are not well established. Therefore, we offer this perspective of the national transplant program as a means to stimulate new methods that capture macroscale impacts of policy development for deceased donor organ allocation.

Associations Between Sleep And In-Race Gastrointestinal Symptoms: An Observational Study Of Running And Triathlon Race Competitors, Patrick Benjamin Wilson

Human Movement Studies & Special Education Faculty Publications

OBJECTIVE: It remains unstudied whether poor sleep is involved in the etiology of gastrointestinal (GI) problems in athletes.

METHODS: Eighty-seven running and triathlon/duathlon race (>60 minutes) participants completed questionnaires to quantify the Sleep Problems Index-(SPI)-I and sleep parameters from the night before races. For GI symptoms, participants reported the severity (0-10 scale) of four upper and three lower symptoms during races. Spearman's correlations examined whether sleep measures were associated with in-race GI symptoms. Partial correlations were calculated to control for age, resting GI symptoms, and anxiety.

RESULTS: SPI-I scores correlated with in-race upper GI symptoms (rho=0.26, p=0.013). Controlling for …

Non-Canonicaly Recruited Tcrαβcd8Αα Iels Recognize Microbial Antigens, Lukasz Wojciech, Edyta Szurek, Michal Kuczma, Anna Cebula, Wessam R. Elhefnawy, Maciej Pietrzak, Grzegorz Rempala, Leszek Ignatowicz

Computer Science Faculty Publications

In the gut, various subsets of intraepithelial T cells (IELs) respond to self or non-self-antigens derived from the body, diet, commensal and pathogenic microbiota. Dominant subset of IELs in the small intestine are TCRαβCD8αα⁺ cells, which are derived from immature thymocytes that express self-reactive TCRs. Although most of TCRαβCD8αα⁺ IELs are thymus-derived, their repertoire adapts to microbial flora. Here, using high throughput TCR sequencing we examined how clonal diversity of TCRαβCD8αα⁺ IELs changes upon exposure to commensal-derived antigens. We found that fraction of CD8αα⁺ IELs and CD4⁺ T cells express identical …

Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara

Electrical & Computer Engineering Faculty Publications

We evaluate and improve an existing curvature-based region growing algorithm for colonic polyp detection for our CT colonography (CTC) computer-aided detection (CAD) system by using Pareto fronts. The performance of a polyp detection algorithm involves two conflicting objectives, minimizing both false negative (FN) and false positive (FP) detection rates. This problem does not produce a single optimal solution but a set of solutions known as a Pareto front. Any solution in a Pareto front can only outperform other solutions in one of the two competing objectives. Using evolutionary algorithms to find the Pareto fronts for multi-objective optimization problems has been …

Validating Pareto Optimal Operation Parameters Of Polyp Detection Algorithms For Ct Colonography, Jiang Li, Adam Huang, Nicholas Petrick, Jianhua Yao, Ronald M. Summers, Maryellen L. Giger (Ed.), Nico Karssemeijer (Ed.)

Electrical & Computer Engineering Faculty Publications

We evaluated a Pareto front-based multi-objective evolutionary algorithm for optimizing our CT colonography (CTC) computer-aided detection (CAD) system. The system identifies colonic polyps based on curvature and volumetric based features, where a set of thresholds for these features was optimized by the evolutionary algorithm. We utilized a two-fold cross-validation (CV) method to test if the optimized thresholds can be generalized to new data sets. We performed the CV method on 133 patients; each patient had a prone and a supine scan. There were 103 colonoscopically confirmed polyps resulting in 188 positive detections in CTC reading from either the prone or …

Wavelet Analysis In Virtual Colonoscopy, Sharon Greenblum, Jiang Li, Adam Huang, Ronald M. Summers, Armando Manduca (Ed.), Amir A. Amini (Ed.)

Electrical & Computer Engineering Faculty Publications

The computed tomographic colonography (CTC) computer aided detection (CAD) program is a new method in development to detect colon polyps in virtual colonoscopy. While high sensitivity is consistently achieved, additional features are desired to increase specificity. In this paper, a wavelet analysis was applied to CTCCAD outputs in an attempt to filter out false positive detections. 52 CTCCAD detection images were obtained using a screen capture application. 26 of these images were real polyps, confirmed by optical colonoscopy and 26 were false positive detections. A discrete wavelet transform of each image was computed with the MATLAB wavelet toolbox using the …

Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Techniques, Jiang Li, Adam Huang, Jianhua Yao, Ingmar Bitter, Nicholas Petrick, Ronald M. Summers, Perry J. Pickhardt, J. Richard Choi

Electrical & Computer Engineering Faculty Publications

Colonie polyps appear like elliptical protrusions on the inner wall of the colon. Curvature based features for colonie polyp detection have proved to be successful in several computer-aided diagnostic CT colonography (CTC) systems. Some simple thresholds are set for those features for creating initial polyp candidates, sophisticated classification scheme are then applied on these polyp candidates to reduce false positives. There are two objective functions, the number of missed polyps and false positive rate, that need to be minimized when setting those thresholds. These two objectives conflict and it is usually difficult to optimize them both by a gradient search. …

Hybrid Committee Classifier For A Computerized Colonic Polyp Detection System, Jiang Li, Jianhua Yao, Nicholas Petrick, Ronald M. Summers, Amy K. Hara, Joseph M. Reinhardt (Ed.), Josien P.W. Pluim (Ed.)

Electrical & Computer Engineering Faculty Publications

We present a hybrid committee classifier for computer-aided detection (CAD) of colonic polyps in CT colonography (CTC). The classifier involved an ensemble of support vector machines (SVM) and neural networks (NN) for classification, a progressive search algorithm for selecting a set of features used by the SVMs and a floating search algorithm for selecting features used by the NNs. A total of 102 quantitative features were calculated for each polyp candidate found by a prototype CAD system. 3 features were selected for each of 7 SVM classifiers which were then combined to form a committee of SVMs classifier. Similarly, features …