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The potential of exosomes as biomarker resources for diagnostics, prognostics and even for therapeutics is an area of intense research. Despite the various approaches available, there is no consensus with respect to the best methodology for isolating exosomes and to provide substantial yields with reliable quality. Differential centrifugation is the most commonly used method but it is time-consuming and requires large sample volumes, thus alternative methods are urgently needed. In this study two precipitation-based methods and one column-based approach were compared for exosome isolation from distinct biofluids (serum, plasma and cerebrospinal fluid). Exosome characterization included morphological analyses, determination of particle concentration, stability and exosome preparations' purity, using different complementary approaches such as Nanoparticle Tracking Analysis, Electrophoretic Light Scattering, Transmission Electron Microscopy, EXOCET colorimetric assay, protein quantification methods and western blotting. The three commercial kits tested successfully isolated exosomes from the biofluids under study, although ExoS showed the best performance in terms of exosome yield and purity. Data shows that methods other than differential centrifugation can be applied to quickly and efficiently isolate exosomes from reduced biofluid volumes. The possibility to use small volumes is fundamental in the context of translational and clinical research, thus the results here presented contribute significantly in this respect.

The study had the goal to study the relationship between resilience, stress and injuries in the sport context. Eight female athletes, part of the Rhythmic Gymnastics Brazilian Team along the Olympic Cycle 2015-2016 participated in the study, with a mean age of 20.4±2.5 years. The following instruments were used: RESTQ-76 Sport, CD-RISC 10, documental analysis of physical therapy records, and structured questionnaire. Data was analyzed by descriptive statistics (frequency, mean and standard deviation); Repeated Measured ANOVA with Bonferroni's post-hoc, Student's "t" test, Friedman test, Pearson Correlation Coefficient, Cohen's d, and inductive thematic analysis. We found relatively stable levels of stress and recovery across the season; total recovery levels were higher than stress at all four measured timepoints (p