ISEL - Engenharia Biomédica - Dissertações de Mestrado
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Browsing ISEL - Engenharia Biomédica - Dissertações de Mestrado by Author "Araújo, Rúben Alexandre Dinis"
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- Impact of Epigallocatechin-3-gallate (EGCG) on the molecular profile of plasma and serumPublication . Araújo, Rúben Alexandre Dinis; Calado, Cecília Ribeiro da Cruz; Ribeiro, EdnaBackground and Goals: Epigallocatechin-3-gallate (EGCG) is the major catechin present in green tea and it is known to display diverse biological activities as antioxidation, antiinflammation, antiproliferation, antimicrobial, antiviral, among others. The present work aimed to evaluate the impact of consumption of EGCG on the molecular profile of human serum and plasma. Methods: The effect of the consumption of a daily intact of 225 mg for 90 days of EGCG on healthy human volunteers (n = 30), on the plasma and serum molecular profile was evaluated by mid-infrared spectroscopy (MIRS). A method to search for biomarkers in human plasma and serum was developed based on MIRS and machine learning methods. Results: It was observed through different unsupervised pattern search methods and classification supervised methods, e.g. Principal Component Analysis (PCA), Partial Least Squares Regression (PLSR), Discriminant Analysis (DA), Hierarchical Cluster Analysis (HCA) that, both plasma and serum samples presented a significantly different molecular profile after the 90 days of EGCG consumption. Based on loadings, the regions of the spectra with the most impact into cluster separation between 90 days were analysed and it was observed that EGCG consumption affected the profile of major molecules as proteins and lipids. Diverse absorbance ratios were identified as being statistically different (p < 0.01) after EGCG consumption, revealing a high impact of EGCG on human general metabolism. Conclusions: MIRS enabled to monitor the drastic change of the molecular profile of serum and plasma after 90 days of EGCG consumption. MIRS allowed to attain the molecular profile of the sample in a sensitive and specific mode, but also in an economic, simple, rapid and high throughput way. The technique, when combined with automatic methods of pattern recognition, classification and biomarkers search, results in a highly innovative and promising method to acquire information in large-scale epidemiological studies towards a better understanding of the in vivo effect of EGCG.