A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression

The immune function is closely related to iron (Fe) homeostasis and allostasis. The aim of this bioinformatics-assisted review was twofold; (i) to update the current knowledge of Fe metabolism and its relationship to the immune system, and (ii) to perform a prediction analysis of regulatory network...

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Main Authors: Diego A. Bonilla, Yurany Moreno, Jorge L. Petro, Diego A. Forero, Salvador Vargas-Molina, Adrián Odriozola-Martínez, Carlos A. Orozco, Jeffrey R. Stout, Eric S. Rawson, Richard B. Kreider
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Biomedicines
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Online Access:https://www.mdpi.com/2227-9059/10/3/724
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author Diego A. Bonilla
Yurany Moreno
Jorge L. Petro
Diego A. Forero
Salvador Vargas-Molina
Adrián Odriozola-Martínez
Carlos A. Orozco
Jeffrey R. Stout
Eric S. Rawson
Richard B. Kreider
author_facet Diego A. Bonilla
Yurany Moreno
Jorge L. Petro
Diego A. Forero
Salvador Vargas-Molina
Adrián Odriozola-Martínez
Carlos A. Orozco
Jeffrey R. Stout
Eric S. Rawson
Richard B. Kreider
author_sort Diego A. Bonilla
collection DOAJ
description The immune function is closely related to iron (Fe) homeostasis and allostasis. The aim of this bioinformatics-assisted review was twofold; (i) to update the current knowledge of Fe metabolism and its relationship to the immune system, and (ii) to perform a prediction analysis of regulatory network hubs that might serve as potential biomarkers during stress-induced immunosuppression. Several literature and bioinformatics databases/repositories were utilized to review Fe metabolism and complement the molecular description of prioritized proteins. The Search Tool for the Retrieval of Interacting Genes (STRING) was used to build a protein-protein interactions network for subsequent network topology analysis. Importantly, Fe is a sensitive double-edged sword where two extremes of its nutritional status may have harmful effects on innate and adaptive immunity. We identified clearly connected important hubs that belong to two clusters: (i) presentation of peptide antigens to the immune system with the involvement of redox reactions of Fe, heme, and Fe trafficking/transport; and (ii) ubiquitination, endocytosis, and degradation processes of proteins related to Fe metabolism in immune cells (e.g., macrophages). The identified potential biomarkers were in agreement with the current experimental evidence, are included in several immunological/biomarkers databases, and/or are emerging genetic markers for different stressful conditions. Although further validation is warranted, this hybrid method (human-machine collaboration) to extract meaningful biological applications using available data in literature and bioinformatics tools should be highlighted.
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spelling doaj.art-9fb4f40efd23453cb506acf7ded93b322023-11-30T20:53:37ZengMDPI AGBiomedicines2227-90592022-03-0110372410.3390/biomedicines10030724A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced ImmunosuppressionDiego A. Bonilla0Yurany Moreno1Jorge L. Petro2Diego A. Forero3Salvador Vargas-Molina4Adrián Odriozola-Martínez5Carlos A. Orozco6Jeffrey R. Stout7Eric S. Rawson8Richard B. Kreider9Research Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, ColombiaResearch Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, ColombiaResearch Division, Dynamical Business & Science Society—DBSS International SAS, Bogota 110311, ColombiaHealth and Sport Sciences Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá 111221, ColombiaFaculty of Sport Sciences, EADE-University of Wales Trinity Saint David, 29018 Málaga, SpainSport Genomics Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940 Leioa, SpainHealth and Sport Sciences Research Group, School of Health and Sport Sciences, Fundación Universitaria del Área Andina, Bogotá 111221, ColombiaPhysiology of Work and Exercise Response (POWER) Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL 32816, USADepartment of Health, Nutrition and Exercise Science, Messiah University, Mechanicsburg, PA 17055, USAExercise & Sport Nutrition Laboratory, Human Clinical Research Facility, Department of Health & Kinesiology, Texas A&M University, College Station, TX 77843, USAThe immune function is closely related to iron (Fe) homeostasis and allostasis. The aim of this bioinformatics-assisted review was twofold; (i) to update the current knowledge of Fe metabolism and its relationship to the immune system, and (ii) to perform a prediction analysis of regulatory network hubs that might serve as potential biomarkers during stress-induced immunosuppression. Several literature and bioinformatics databases/repositories were utilized to review Fe metabolism and complement the molecular description of prioritized proteins. The Search Tool for the Retrieval of Interacting Genes (STRING) was used to build a protein-protein interactions network for subsequent network topology analysis. Importantly, Fe is a sensitive double-edged sword where two extremes of its nutritional status may have harmful effects on innate and adaptive immunity. We identified clearly connected important hubs that belong to two clusters: (i) presentation of peptide antigens to the immune system with the involvement of redox reactions of Fe, heme, and Fe trafficking/transport; and (ii) ubiquitination, endocytosis, and degradation processes of proteins related to Fe metabolism in immune cells (e.g., macrophages). The identified potential biomarkers were in agreement with the current experimental evidence, are included in several immunological/biomarkers databases, and/or are emerging genetic markers for different stressful conditions. Although further validation is warranted, this hybrid method (human-machine collaboration) to extract meaningful biological applications using available data in literature and bioinformatics tools should be highlighted.https://www.mdpi.com/2227-9059/10/3/724ferritinshemeproteinstransferrin receptormetabolic networks and pathwaysimmune systemphysiological stress response
spellingShingle Diego A. Bonilla
Yurany Moreno
Jorge L. Petro
Diego A. Forero
Salvador Vargas-Molina
Adrián Odriozola-Martínez
Carlos A. Orozco
Jeffrey R. Stout
Eric S. Rawson
Richard B. Kreider
A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
Biomedicines
ferritins
hemeproteins
transferrin receptor
metabolic networks and pathways
immune system
physiological stress response
title A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
title_full A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
title_fullStr A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
title_full_unstemmed A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
title_short A Bioinformatics-Assisted Review on Iron Metabolism and Immune System to Identify Potential Biomarkers of Exercise Stress-Induced Immunosuppression
title_sort bioinformatics assisted review on iron metabolism and immune system to identify potential biomarkers of exercise stress induced immunosuppression
topic ferritins
hemeproteins
transferrin receptor
metabolic networks and pathways
immune system
physiological stress response
url https://www.mdpi.com/2227-9059/10/3/724
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