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The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis

INTRODUCTION: A low cardiorespiratory fitness (CRF) is a strong and independent predictor of cardiometabolic, cancer and all-cause mortality. To date, the mechanisms linking CRF with reduced mortality remain largely unknown. Metabolomics, which is a powerful metabolic phenotyping technology to unrav...

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Autores principales: Carrard, Justin, Guerini, Chiara, Appenzeller-Herzog, Christian, Infanger, Denis, Königstein, Karsten, Streese, Lukas, Hinrichs, Timo, Hanssen, Henner, Gallart-Ayala, Hector, Ivanisevic, Julijana, Schmidt-Trucksäss, Arno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898858/
https://www.ncbi.nlm.nih.gov/pubmed/33680500
http://dx.doi.org/10.1136/bmjsem-2020-001008
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author Carrard, Justin
Guerini, Chiara
Appenzeller-Herzog, Christian
Infanger, Denis
Königstein, Karsten
Streese, Lukas
Hinrichs, Timo
Hanssen, Henner
Gallart-Ayala, Hector
Ivanisevic, Julijana
Schmidt-Trucksäss, Arno
author_facet Carrard, Justin
Guerini, Chiara
Appenzeller-Herzog, Christian
Infanger, Denis
Königstein, Karsten
Streese, Lukas
Hinrichs, Timo
Hanssen, Henner
Gallart-Ayala, Hector
Ivanisevic, Julijana
Schmidt-Trucksäss, Arno
author_sort Carrard, Justin
collection PubMed
description INTRODUCTION: A low cardiorespiratory fitness (CRF) is a strong and independent predictor of cardiometabolic, cancer and all-cause mortality. To date, the mechanisms linking CRF with reduced mortality remain largely unknown. Metabolomics, which is a powerful metabolic phenotyping technology to unravel molecular mechanisms underlying complex phenotypes, could elucidate how CRF fosters human health. METHODS AND ANALYSIS: This study aims at systematically reviewing and meta-analysing the literature on metabolites of any human tissue sample, which are positively or negatively associated with CRF. Studies reporting estimated CRF will not be considered. No restrictions will be placed on the metabolomics technology used to measure metabolites. PubMed, Web of Science and EMBASE will be searched for relevant articles published until the date of the last search. Two authors will independently screen full texts of selected abstracts. References and citing articles of included articles will be screened for additional relevant publications. Data regarding study population, tissue samples, analytical technique, quality control, data processing, metabolites associated to CRF, cardiopulmonary exercise test protocol and exercise exhaustion criteria will be extracted. Methodological quality will be assessed using a modified version of QUADOMICS. Narrative synthesis as well as tabular/charted presentation of the extracted data will be included. If feasible, meta-analyses will be used to investigate the associations between identified metabolites and CRF. Potential sources of heterogeneity will be explored in meta-regressions. ETHICS AND DISSEMINATION: No ethics approval is required. The results will be published in a peer-reviewed journal and as conference presentation. PROSPERO REGISTRATION NUMBER: CRD42020214375.
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spelling pubmed-78988582021-03-05 The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis Carrard, Justin Guerini, Chiara Appenzeller-Herzog, Christian Infanger, Denis Königstein, Karsten Streese, Lukas Hinrichs, Timo Hanssen, Henner Gallart-Ayala, Hector Ivanisevic, Julijana Schmidt-Trucksäss, Arno BMJ Open Sport Exerc Med Protocol INTRODUCTION: A low cardiorespiratory fitness (CRF) is a strong and independent predictor of cardiometabolic, cancer and all-cause mortality. To date, the mechanisms linking CRF with reduced mortality remain largely unknown. Metabolomics, which is a powerful metabolic phenotyping technology to unravel molecular mechanisms underlying complex phenotypes, could elucidate how CRF fosters human health. METHODS AND ANALYSIS: This study aims at systematically reviewing and meta-analysing the literature on metabolites of any human tissue sample, which are positively or negatively associated with CRF. Studies reporting estimated CRF will not be considered. No restrictions will be placed on the metabolomics technology used to measure metabolites. PubMed, Web of Science and EMBASE will be searched for relevant articles published until the date of the last search. Two authors will independently screen full texts of selected abstracts. References and citing articles of included articles will be screened for additional relevant publications. Data regarding study population, tissue samples, analytical technique, quality control, data processing, metabolites associated to CRF, cardiopulmonary exercise test protocol and exercise exhaustion criteria will be extracted. Methodological quality will be assessed using a modified version of QUADOMICS. Narrative synthesis as well as tabular/charted presentation of the extracted data will be included. If feasible, meta-analyses will be used to investigate the associations between identified metabolites and CRF. Potential sources of heterogeneity will be explored in meta-regressions. ETHICS AND DISSEMINATION: No ethics approval is required. The results will be published in a peer-reviewed journal and as conference presentation. PROSPERO REGISTRATION NUMBER: CRD42020214375. BMJ Publishing Group 2021-02-19 /pmc/articles/PMC7898858/ /pubmed/33680500 http://dx.doi.org/10.1136/bmjsem-2020-001008 Text en © Author(s) (or their employer(s)) [year]. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Protocol
Carrard, Justin
Guerini, Chiara
Appenzeller-Herzog, Christian
Infanger, Denis
Königstein, Karsten
Streese, Lukas
Hinrichs, Timo
Hanssen, Henner
Gallart-Ayala, Hector
Ivanisevic, Julijana
Schmidt-Trucksäss, Arno
The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title_full The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title_fullStr The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title_full_unstemmed The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title_short The metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
title_sort metabolic signature of cardiorespiratory fitness: a protocol for a systematic review and meta-analysis
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898858/
https://www.ncbi.nlm.nih.gov/pubmed/33680500
http://dx.doi.org/10.1136/bmjsem-2020-001008
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