This work aims to determine the metabolic profile of athletes, relating metabolites present in the human body to variables such as age, gender and physical effort to which they were submitted. Chromatographic and spectrometric methods (such as GC-MS and HPLC-MS) are used to separate, identify and quantify metabolites in serum and plasma samples. The obtained data are analyzed using multivariate statistics, using principal component analysis (PCA) and partial least squares regression for discriminant analysis (PLS-DA). In this way, the metabolites identified in the samples can be correlated with the studied variables, such as age, gender and physical effort. The results show the potential of metabolomics as an important tool to be used in the study of a variety of unknowns that may interfere in athlete's performance. ResumoEste trabalho procura determinar o perfil metabólico de atletas, relacionando metabólitos presentes no corpo humano a variáveis como idade, sexo e esforço físico a que foram submetidos. Métodos cromatográficos e espectrométricos (como CG-EM e CLAE-EM) são usados para separar, identificar e quantificar metabólitos em amostras de soro sanguíneo e plasma. Os dados obtidos são analisados por meio de estatística multivariada, usando análise de componentes principais (PCA) e mínimos quadrados parciais para análises de discriminantes (PLS-DA). Dessa forma, pode-se correlacionar os metabólitos identificados nas amostras às variáveis estudadas, como a idade, o sexo e o esforço físico dos atletas. Os resultados mostram o potencial da metabolômica como uma importante ferramenta a ser usada no estudo de uma variedade de incógnitas que podem interferir no desempenho dos atletas.
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