AIMS: We assessed the inter-relationship that exists between variations of different biochemical and hematological parameters following strenuous endurance exercise in Ironmen by using multiple factor analysis (MFA). MFA was used to estimate the associations among groups of parameters in order to identify concurrent changes in many different biochemical variables. MATERIALS & METHODS: In total, 14 Ironman athletes were followed before and early after a race. MFA was applied to the parameters that showed a significant variation after the race, as we previously described in detail. Specifically, MFA standardizes data in each group and calculates the global axes (GAs), which are the linear combination of original parameters that maximize the global data variance. RESULTS: MFA identified three global axes (GAs) as significant, explaining approximately 62% of the global data variance. The first GA contained NT-proBNP, IL-1ra, IL-6, IL-8 and the oxidative index. The second and third GAs included calcium, creatinine, potassium, uric acid, hemoglobin, hematocrit and glucose. Analysis of the first two GAs showed that changes in the oxidative index were associated with variations in IL-8 and NT-proBNP. CONCLUSION: Among all the variables considered, MFA evidenced a close relationship between variations in oxidative stress, IL-8 and NT-proBNP, which may have a meaning in the mechanisms related to the physiological response after strenuous acute exercise.
AIMS: We assessed the inter-relationship that exists between variations of different biochemical and hematological parameters following strenuous endurance exercise in Ironmen by using multiple factor analysis (MFA). MFA was used to estimate the associations among groups of parameters in order to identify concurrent changes in many different biochemical variables. MATERIALS & METHODS: In total, 14 Ironman athletes were followed before and early after a race. MFA was applied to the parameters that showed a significant variation after the race, as we previously described in detail. Specifically, MFA standardizes data in each group and calculates the global axes (GAs), which are the linear combination of original parameters that maximize the global data variance. RESULTS: MFA identified three global axes (GAs) as significant, explaining approximately 62% of the global data variance. The first GA contained NT-proBNP, IL-1ra, IL-6, IL-8 and the oxidative index. The second and third GAs included calcium, creatinine, potassium, uric acid, hemoglobin, hematocrit and glucose. Analysis of the first two GAs showed that changes in the oxidative index were associated with variations in IL-8 and NT-proBNP. CONCLUSION: Among all the variables considered, MFA evidenced a close relationship between variations in oxidative stress, IL-8 and NT-proBNP, which may have a meaning in the mechanisms related to the physiological response after strenuous acute exercise.
Authors: Benoit Mauvieux; Corentin Hingrand; Joffrey Drigny; Amir Hodzic; Pauline Baron; Rémy Hurdiel; Romain Jouffroy; Jean-Charles Vauthier; Mathias Pessiglione; Antonius Wiehler; Francis Degache; Sébastien Pavailler; Elsa Heyman; Mathilde Plard; Philippe Noirez; Blaise Dubois; Jean François Esculier; Anh Phong Nguyen; Joachim Van Cant; Olivier Roy Baillargeon; Benoit Pairot de Fontenay; Pierre Louis Delaunay; Stéphane Besnard Journal: JMIR Res Protoc Date: 2022-06-15
Authors: Fabrizio Ricci; Giovanni Donato Aquaro; Carlo De Innocentiis; Serena Rossi; Cesare Mantini; Francesca Longo; Mohammed Y Khanji; Sabina Gallina; Alessandro Pingitore Journal: Front Cardiovasc Med Date: 2022-08-02