Evaluation of Antioxidant Defence Systems and Inflammatory Status in Basketball Elite Athletes
Author:
Gentile Alessandro1ORCID, Punziano Carolina1, Calvanese Mariella1, De Falco Renato2ORCID, Gentile Luca3, D’Alicandro Giovanni4, Miele Ciro156ORCID, Capasso Filomena5, Pero Raffaela17, Mazzaccara Cristina16ORCID, Lombardo Barbara16, Frisso Giulia16ORCID, Borrelli Paola8ORCID, Mennitti Cristina1ORCID, Scudiero Olga167ORCID, Faraonio Raffaella1ORCID
Affiliation:
1. Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy 2. Division of Laboratory Medicine, Istituto Nazionale Tumori—IRCCS Fondazione Pascale, 80129 Naples, Italy 3. Integrated Department of Laboratory and Transfusion Medicine, University of Naples Federico II, 80131 Naples, Italy 4. Department of Neuroscience and Rehabilitation, Center of Sports Medicine and Disability, AORN, Santobono-Pausillipon, 80122 Naples, Italy 5. UOC Laboratory Medicine, Hematology and Laboratory Haemostasis and Special Investigations, AOU Federico II University of Naples, 80131 Naples, Italy 6. CEINGE, Biotecnologie Avanzate s.c.ar.l., 80131 Naples, Italy 7. Task Force on Microbiome Studies, University of Naples Federico II, 80100 Naples, Italy 8. Department of Medical, Oral and Biotechnological Sciences, Laboratory of Biostatistics, University G. d’Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy
Abstract
Intense physical activity can induce metabolic changes that modify specific biochemical biomarkers. In this scenario, the purpose of our study was to evaluate how intense physical activity can affect oxidative metabolism. Following this, fifteen professional basketball players and fifteen sedentary controls were recruited and subjected to two samplings of serum and urine in the pre-season (September) and two months after the start of the competitive season (November). Our results have shown an increase in athletes compared to controls in CK and LDH in September (respectively, p-value 0.003 and p-value < 0.001) and in November (both p-value < 0.001), whereas ALT is increased only in November (p-value 0.09). GGT serum levels were decreased in athletes compared to controls in both months (in September p-value 0.001 and in November p-value < 0.001). A gene expression analysis, carried out using RT-PCR, has revealed that IL-2, IL-6, IL-8, xCT and GCLM are increased in athletes in both months (p-value < 0.0001), while IL-10 and CHAC1 are increased only in September if compared to the controls (respectively, p-value 0.040 and p-value < 0.001). In conclusion, physical activity creates an adaptation of the systems involved in oxidative metabolism but without causing damage to the liver or kidney. This information could be of help to sports doctors for the prevention of injuries and illnesses in professional athletes for the construction of the athlete’s passport.
Subject
Genetics (clinical),Genetics
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