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The metabolic signature of cardiorespiratory fitness: a systematic review

Guerini, Chiara. The metabolic signature of cardiorespiratory fitness: a systematic review. 2021, Master Thesis, University of Basel, Faculty of Medicine.

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Official URL: https://edoc.unibas.ch/85546/

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Abstract

Background: Cardiorespiratory fitness (CRF) is a potent health marker, improvement of which leads to reduced incidence of non-communicable diseases and all-cause mortality. Identifying metabolic signatures associated with CRF could reveal how CRF fosters human health and lead to the development of novel health-monitoring strategies. This study systematically reviewed reported associations between CRF and metabolites measured in human tissues and body fluids.
Methods: PubMed, EMBASE and Web of Science were searched from database inception to June 3, 2021. Metabolomics studies reporting metabolites associated with CRF, measured by means of cardiopulmonary exercise test, were deemed eligible. Backward and forward citation tracking on eligible records were used to complement the results of database searching. Risk of bias at the study level was assessed using QUADOMICS
Results: Twenty-two studies were included and 667 metabolites, measured in plasma (n=619), serum (n=18), skeletal muscle (n=16), urine (n=11) or sweat (n=3), were identified. Lipids were the metabolites most commonly positively (n=174) and negatively (n=274) associated with CRF. Specific circulating glycerophospholipids (n=85) and cholesterol esters (n=17) were positively associated with CRF, while circulating glycerolipids (n=152), glycerophospholipids (n=42), acylcarnitines (n=14) and ceramides (n=12) were negatively associated with CRF. Interestingly, muscle acylcarnitines were positively correlated to CRF (n=15).
Conclusion: CRF was associated with circulating and muscle lipidome composition. Causality of the revealed associations at the molecular species level remains to be investigated further. Finally, included studies were heterogenous in terms of participants’ characteristics, analytical and statistical approaches
PROSPERO registration number: CRD42020214375
Advisors:Carrard, Justin and Schmidt-Trucksäss, Arno
Faculties and Departments:03 Faculty of Medicine > Departement Sport, Bewegung und Gesundheit > Bereich Sport- und Bewegungsmedizin > Sportmedizin (Schmidt-Trucksäss)
UniBasel Contributors:Guerini, Chiara and Carrard, Justin and Schmidt-Trucksäss, Arno
Item Type:Thesis
Thesis Subtype:Master Thesis
Thesis no:1
Thesis status:Complete
Last Modified:14 Dec 2021 05:30
Deposited On:13 Dec 2021 10:02

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