Endocrinology, Diabetes, and Metabolism Commons^™

Predicting The Pathway Involvement Of Compounds Annotated In The Reactome Knowledgebase, Erik D. Huckvale, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

Background/Objectives: Pathway annotations of non-macromolecular (relatively small) biomolecules facilitate biological and biomedical interpretation of metabolomics datasets. However, low pathway annotation levels of detected biomolecules hinder this type of interpretation. Thus, predicting the pathway involvement of detected but unannotated biomolecules has a high potential to improve metabolomics data analysis and omics integration. Past publications have only made use of the Kyoto Encyclopedia of Genes and Genomes-derived datasets to develop machine learning models to predict pathway involvement. However, to our knowledge, the Reactome knowledgebase has not been utilized to develop these types of predictive models.

Methods: We created a dataset ready for …

Bilirubin Bioconversion To Urobilin In The Gut-Liver-Kidney Axis: A Biomarker For Insulin Resistance In The Cardiovascular-Kidney-Metabolic (Ckm) Syndrome, Zachary A. Kipp, Olufunto O. Badmus, David E. Stec, Brantley Hall, Terry D. Hinds Jr.

Markey Cancer Center Faculty Publications

The rising rates of obesity worldwide have increased the incidence of cardiovascular disease (CVD), making it the number one cause of death. Higher plasma bilirubin levels have been shown to prevent metabolic dysfunction and CVD. However, reducing levels leads to deleterious outcomes, possibly due to reduced bilirubin half-life that escalates the production of its catabolized product, urobilinogen, produced by gut bacteria and naturally oxidized to urobilin. Recent findings suggest that the involvement of the microbiome catabolism of bilirubin to urobilin and its absorption via the hepatic portal vein contributes to CVD, suggesting a liver-gut axis involvement. We discuss the studies …

Impact Of Gut Microbiota And Its Metabolites On Immunometabolism In Colorectal Cancer, Madison Flory, Paloma Bravo, Asfaqul Alam

Markey Cancer Center Faculty Publications

Colorectal cancer (CRC) is highly prevalent, accounting for approximately one-tenth of cancer cases and deaths globally. It stands as the second most deadly and third most common cancer type. Although the gut microbiota has been implicated in CRC carcinogenesis for the last several decades, it remains one of the least understood risk factors for CRC development, as the gut microbiota is highly diverse and variable. Many studies have uncovered unique microbial signatures in CRC patients compared with healthy matched controls, with variations dependent on patient age, disease stage, and location. In addition, mechanistic studies revealed that tumor-associated bacteria produce diverse …

Predicting The Pathway Involvement Of All Pathway And Associated Compound Entries Defined In The Kyoto Encyclopedia Of Genes And Genomes, Erik D. Huckvale, Hunter Moseley

Markey Cancer Center Faculty Publications

Background/Objectives: Predicting the biochemical pathway involvement of a compound could facilitate the interpretation of biological and biomedical research. Prior prediction approaches have largely focused on metabolism, training machine learning models to solely predict based on metabolic pathways. However, there are many other types of pathways in cells and organisms that are of interest to biologists. Methods: While several publications have made use of the metabolites and metabolic pathways available in the Kyoto Encyclopedia of Genes and Genomes (KEGG), we downloaded all the compound entries with pathway annotations available in the KEGG. From these data, we constructed a dataset where each …

Predicting The Association Of Metabolites With Both Pathway Categories And Individual Pathways, Erik D. Huckvale, Hunter Moseley

Markey Cancer Center Faculty Publications

Metabolism is a network of chemical reactions that sustain cellular life. Parts of this metabolic network are defined as metabolic pathways containing specific biochemical reactions. Products and reactants of these reactions are called metabolites, which are associated with certain human-defined metabolic pathways. Metabolic knowledgebases, such as the Kyoto Encyclopedia of Gene and Genomes (KEGG) contain metabolites, reactions, and pathway annotations; however, such resources are incomplete due to current limits of metabolic knowledge. To fill in missing metabolite pathway annotations, past machine learning models showed some success at predicting the KEGG Level 2 pathway category involvement of metabolites based on their …

Predicting The Pathway Involvement Of Metabolites Based On Combined Metabolite And Pathway Features, Erik D. Huckvale, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

A major limitation of most metabolomics datasets is the sparsity of pathway annotations for detected metabolites. It is common for less than half of the identified metabolites in these datasets to have a known metabolic pathway involvement. Trying to address this limitation, machine learning models have been developed to predict the association of a metabolite with a “pathway category”, as defined by a metabolic knowledge base like KEGG. Past models were implemented as a single binary classifier specific to a single pathway category, requiring a set of binary classifiers for generating the predictions for multiple pathway categories. This past approach …

The Potential Beneficial Role Of Anti-Platelet/Anti-Coagulant Medications On Diabetic Retinopathy: A Scoping Review Protocol, Sarah Draud, Qingjun Wang, Lauren E. Robinson

Markey Cancer Center Faculty Publications

Diabetic retinopathy (DR) is a prevalent microvascular complication of diabetes mellitus (DM, both types 1 and 2), affecting millions of individuals worldwide. DM is known to induce changes in platelet function and hemostasis, thereby elevating the risk of thrombotic incidents. The hyperglycemic environment in DM can trigger platelet hyperactivity, potentially exacerbating the onset and progression of DR. Despite the intricate pathophysiology of DR, which involves oxidative stress, inflammation, retinal neovascularization, and the disruption of the blood-retina barrier, the specific mechanisms underlying platelet hyperactivity in the microvasculature of DM patients remain inadequately explored. Antiplatelet and anticoagulation medications have proven beneficial in …

Md_Harmonize: A Python Package For Atom-Level Harmonization Of Public Metabolic Databases, Huan Jin, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

A major challenge to integrating public metabolic resources is the use of different nomenclatures by individual databases. This paper presents md_harmonize, an open-source Python package for harmonizing compounds and metabolic reactions across various metabolic databases. The md_harmonize package utilizes a neighborhood-specific graph coloring method for generating a unique identifier for each compound via atom identifiers based on a compound’s chemical structure. The resulting harmonized compounds and reactions can be used for various downstream analyses, including the construction of atom-resolved metabolic networks and models for metabolic flux analysis. Parts of the md_harmonize package have been optimized using a variety of computational …

Benchmark Dataset For Training Machine Learning Models To Predict The Pathway Involvement Of Metabolites, Erik D. Huckvale, Christian D. Powell, Huan Jin, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

Metabolic pathways are a human-defined grouping of life sustaining biochemical reactions, metabolites being both the reactants and products of these reactions. But many public datasets include identified metabolites whose pathway involvement is unknown, hindering metabolic interpretation. To address these shortcomings, various machine learning models, including those trained on data from the Kyoto Encyclopedia of Genes and Genomes (KEGG), have been developed to predict the pathway involvement of metabolites based on their chemical descriptions; however, these prior models are based on old metabolite KEGG-based datasets, including one benchmark dataset that is invalid due to the presence of over 1500 duplicate entries. …

Asparagine Restriction Enhances Cd8+ T Cell Metabolic Fitness And Antitumoral Functionality Through An Nrf2-Dependent Stress Response, J. N. Rashida Gnanaprakasam, Bhavana Kushwaha, Lingling Liu, Xuyong Chen, Siwen Kang, Tingting Wang, Teresa A. Cassel, Christopher M. Adams, Richard M. Higashi, David A. Scott, Gang Xin, Zihai Li, Jun Yang, Andrew N. Lane, Teresa Whei-Mei Fan, Ji Zhang, Ruoning Wang

Markey Cancer Center Faculty Publications

Robust and effective T cell immune surveillance and cancer immunotherapy require proper allocation of metabolic resources to sustain energetically costly processes, including growth and cytokine production. Here, we show that asparagine (Asn) restriction on CD8+ T cells exerted opposing effects during activation (early phase) and differentiation (late phase) following T cell activation. Asn restriction suppressed activation and cell cycle entry in the early phase while rapidly engaging the nuclear factor erythroid 2-related factor 2 (NRF2)-dependent stress response, conferring robust proliferation and effector function on CD8+ T cells during differentiation. Mechanistically, NRF2 activation in CD8+ T cells conferred by Asn restriction …

Messes: Software For Transforming Messy Research Datasets Into Clean Submissions To Metabolomics Workbench For Public Sharing, P. Travis Thompson, Hunter N. B. Moseley

Markey Cancer Center Faculty Publications

In recent years, the FAIR guiding principles and the broader concept of open science has grown in importance in academic research, especially as funding entities have aggressively promoted public sharing of research products. Key to public research sharing is deposition of datasets into online data repositories, but it can be a chore to transform messy unstructured data into the forms required by these repositories. To help generate Metabolomics Workbench depositions, we have developed the MESSES (Metadata from Experimental SpreadSheets Extraction System) software package, implemented in the Python 3 programming language and supported on Linux, Windows, and Mac operating systems. MESSES …

Exposure To Pcb126 During The Nursing Period Reversibly Impacts Early-Life Glucose Tolerance, Brittany Breon Rice, Keegan W. Sammons, Sara Y. Ngo Tenlep, Madeline T. Weltzer, Leryn J. Reynolds, Cetewayo S. Rashid, Hollie I. Swanson, Kevin J. Pearson

Markey Cancer Center Faculty Publications

Polychlorinated biphenyls (PCBs) are persistent environmental organic pollutants known to have detrimental health effects. Using a mouse model, we previously demonstrated that PCB126 exposure before and during pregnancy and throughout the perinatal period adversely affected offspring glucose tolerance and/or body composition profiles. The purpose of this study was to investigate the glucose tolerance and body composition of offspring born to dams exposed to PCB126 during the nursing period only. Female ICR mice were bred, and half of the dams were exposed to either vehicle (safflower oil) or 1 μmole PCB126 per kg of body weight via oral gavage on postnatal …

Bilirubin Nanoparticle Treatment In Obese Mice Inhibits Hepatic Ceramide Production And Remodels Liver Fat Content, Zachary A. Kipp, Genesee J. Martinez, Evelyn A. Bates, Agil B. Maharramov, Robert M. Flight, Hunter N. B. Moseley, Andrew J. Morris, David E. Stec, Terry D. Hinds Jr.

Markey Cancer Center Faculty Publications

Studies have indicated that increasing plasma bilirubin levels might be useful for preventing and treating hepatic lipid accumulation that occurs with metabolic diseases such as obesity and diabetes. We have previously demonstrated that mice with hyperbilirubinemia had significantly less lipid accumulation in a diet-induced non-alcoholic fatty liver disease (NAFLD) model. However, bilirubin’s effects on individual lipid species are currently unknown. Therefore, we used liquid chromatography-mass spectroscopy (LC-MS) to determine the hepatic lipid composition of obese mice with NAFLD treated with bilirubin nanoparticles or vehicle control. We placed the mice on a high-fat diet (HFD) for 24 weeks and then treated …

Kinase Suppressor Of Ras 1 And Exo70 Promote Fatty Acid-Stimulated Neurotensin Secretion Through Erk1/2 Signaling, Stephanie Rock, Xian Li, Jun Song, Courtney M. Townsend, Heidi L. Weiss, Piotr G. Rychahou, Tianyan Gao, Jing Li, B. Mark Evers

Markey Cancer Center Faculty Publications

Neurotensin is a peptide hormone released from enteroendocrine cells in the small intestine in response to fat ingestion. Although the mechanisms regulating neurotensin secretion are still incompletely understood, our recent findings implicate a role for extracellular signal–regulated kinase 1 and 2 as positive regulators of free fatty acid-stimulated neurotensin secretion. Previous studies have shown that kinase suppressor of Ras 1 acts as a molecular scaffold of the Raf/MEK/extracellular signal–regulated kinase 1 and 2 kinase cascade and regulates intensity and duration of extracellular signal–regulated kinase 1 and 2 signaling. Here, we demonstrate that inhibition of kinase suppressor of Ras 1 attenuates …

No Association Of Obesity And Type 2 Diabetes Mellitus Related Genetic Variants With Colon Cancer, Cheryl L. Thompson, Sarah J. Plummer, Thomas C. Tucker, Graham Casey, Li Li

Markey Cancer Center Faculty Publications

Background: Obesity and type 2 diabetes mellitus (T2D) are known risk factors for colon cancer. Recent reports from a number of genome wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with obesity and T2D. Here we tested the hypothesis that these SNPs may also be associated with risk of colon cancer.

Methods: We genotyped nine SNPs reported in GWAS of obesity and/or T2D, including SNPs in HHEX, KCNJ11, SLC30A8, FTO, CDKN2, CDKAL1, TCF2, and the rs9300039 SNP in an intergenic region, in 561 colon cancer cases and 721 population controls.

Results: None of these SNPs were …