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Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine
Mitochondria are the “gatekeeper” in a wide range of cellular functions, signaling events, cell homeostasis, proliferation, and apoptosis. Consequently, mitochondrial injury is linked to systemic effects compromising multi-organ functionality. Although mitochondrial stress is common for many pathome...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096339/ https://www.ncbi.nlm.nih.gov/pubmed/35578648 http://dx.doi.org/10.1007/s13167-022-00281-6 |
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author | Koklesova, Lenka Mazurakova, Alena Samec, Marek Kudela, Erik Biringer, Kamil Kubatka, Peter Golubnitschaja, Olga |
author_facet | Koklesova, Lenka Mazurakova, Alena Samec, Marek Kudela, Erik Biringer, Kamil Kubatka, Peter Golubnitschaja, Olga |
author_sort | Koklesova, Lenka |
collection | PubMed |
description | Mitochondria are the “gatekeeper” in a wide range of cellular functions, signaling events, cell homeostasis, proliferation, and apoptosis. Consequently, mitochondrial injury is linked to systemic effects compromising multi-organ functionality. Although mitochondrial stress is common for many pathomechanisms, individual outcomes differ significantly comprising a spectrum of associated pathologies and their severity grade. Consequently, a highly ambitious task in the paradigm shift from reactive to predictive, preventive, and personalized medicine (PPPM/3PM) is to distinguish between individual disease predisposition and progression under circumstances, resulting in compromised mitochondrial health followed by mitigating measures tailored to the individualized patient profile. For the successful implementation of PPPM concepts, robust parameters are essential to quantify mitochondrial health sustainability. The current article analyses added value of Mitochondrial Health Index (MHI) and Bioenergetic Health Index (BHI) as potential systems to quantify mitochondrial health relevant for the disease development and its severity grade. Based on the pathomechanisms related to the compromised mitochondrial health and in the context of primary, secondary, and tertiary care, a broad spectrum of conditions can significantly benefit from robust quantification systems using MHI/BHI as a prototype to be further improved. Following health conditions can benefit from that: planned pregnancies (improved outcomes for mother and offspring health), suboptimal health conditions with reversible health damage, suboptimal life-style patterns and metabolic syndrome(s) predisposition, multi-factorial stress conditions, genotoxic environment, ischemic stroke of unclear aetiology, phenotypic predisposition to aggressive cancer subtypes, pathologies associated with premature aging and neuro/degeneration, acute infectious diseases such as COVID-19 pandemics, among others. |
format | Online Article Text |
id | pubmed-9096339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90963392022-05-12 Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine Koklesova, Lenka Mazurakova, Alena Samec, Marek Kudela, Erik Biringer, Kamil Kubatka, Peter Golubnitschaja, Olga EPMA J Review Mitochondria are the “gatekeeper” in a wide range of cellular functions, signaling events, cell homeostasis, proliferation, and apoptosis. Consequently, mitochondrial injury is linked to systemic effects compromising multi-organ functionality. Although mitochondrial stress is common for many pathomechanisms, individual outcomes differ significantly comprising a spectrum of associated pathologies and their severity grade. Consequently, a highly ambitious task in the paradigm shift from reactive to predictive, preventive, and personalized medicine (PPPM/3PM) is to distinguish between individual disease predisposition and progression under circumstances, resulting in compromised mitochondrial health followed by mitigating measures tailored to the individualized patient profile. For the successful implementation of PPPM concepts, robust parameters are essential to quantify mitochondrial health sustainability. The current article analyses added value of Mitochondrial Health Index (MHI) and Bioenergetic Health Index (BHI) as potential systems to quantify mitochondrial health relevant for the disease development and its severity grade. Based on the pathomechanisms related to the compromised mitochondrial health and in the context of primary, secondary, and tertiary care, a broad spectrum of conditions can significantly benefit from robust quantification systems using MHI/BHI as a prototype to be further improved. Following health conditions can benefit from that: planned pregnancies (improved outcomes for mother and offspring health), suboptimal health conditions with reversible health damage, suboptimal life-style patterns and metabolic syndrome(s) predisposition, multi-factorial stress conditions, genotoxic environment, ischemic stroke of unclear aetiology, phenotypic predisposition to aggressive cancer subtypes, pathologies associated with premature aging and neuro/degeneration, acute infectious diseases such as COVID-19 pandemics, among others. Springer International Publishing 2022-05-12 /pmc/articles/PMC9096339/ /pubmed/35578648 http://dx.doi.org/10.1007/s13167-022-00281-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Koklesova, Lenka Mazurakova, Alena Samec, Marek Kudela, Erik Biringer, Kamil Kubatka, Peter Golubnitschaja, Olga Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title | Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title_full | Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title_fullStr | Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title_full_unstemmed | Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title_short | Mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
title_sort | mitochondrial health quality control: measurements and interpretation in the framework of predictive, preventive, and personalized medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096339/ https://www.ncbi.nlm.nih.gov/pubmed/35578648 http://dx.doi.org/10.1007/s13167-022-00281-6 |
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