We have demonstrated that neural progenitor cells (NPCs) protect endothelial cells (ECs) from oxidative stress. Since exosomes (EXs) can convey the benefit of parent cells through their carried microRNAs (miRs) and miR‐210 is ubiquitously expressed with versatile functions, we investigated the role of miR‐210 in the effects of NPC‐EXs on oxidative stress and dysfunction in ECs. NPCs were transfected with control and miR‐210 scramble/inhibitor/mimic to generate NPC‐EXs^con, NPC‐EXs^sc, NPC‐EXs^anti-miR-210, and NPC‐EXs^miR-210. The effects of various NPC‐EXs on angiotensin II‐ (Ang II‐) induced reactive oxygen species (ROS) overproduction, apoptosis, and dysfunction, as well as dysregulation of Nox2, ephrin A3, VEGF, and p‐VEGFR2/VEGFR2 in ECs were evaluated. Results showed (1) Ang II‐induced ROS overproduction, increase in apoptosis, and decrease in tube formation ability, accompanied with Nox2 upregulation and reduction of p‐VEGFR2/VEGFR2 in ECs. (2) Compared to NPC‐EXs^con or NPC‐EXs^sc, NPC‐EXs^anti-miR-210 were less whereas NPC‐EXs^miR-210 were more effective on attenuating these detrimental effects induced by Ang II in ECs. (3) These effects of NPC‐EXs^anti-miR-210 and NPC‐EXs^miR-210 were associated with the changes of miR‐210, ephrin A3, VEGF, and p‐VEGFR2/VEGFR2 ratio in ECs. Altogether, the protective effects of NPC‐EXs on Ang II‐induced endothelial injury through miR‐210 which controls Nox2/ROS and VEGF/VEGFR2 signals were studied.

Functional Movement Screen (FMS) is used to evaluate the movement quality of an individual. However, the FMS composite score used to predict sports injuries is currently ambiguous. Further refinement of the FMS scoring method may be required to more accurately predict sports injuries. To investigate whether FMS scores could accurately predict sports injuries in college students with different levels of physical activity (PA) and sports performance (SP). One hundred eighty-seven college students aged 18 to 22 were prospectively screened by the FMS test and grouped by the levels of PA and SP. Sports injury occurrences were monitored and collected 12 months later. Spearman's rank coefficients and binary logistic regression were used to identify the risk factors for sports injuries. The receiver operating characteristic (ROC) curve and the total area under the curve (AUC) value were used to determine the optimal FMS cut-off point for sports injuries. The FMS composite score (sum of the seven FMS tests) exhibited a fair association with sports injuries (r = -0.434, P < 0.001). Those with an FMS cut-off point of 17.5 were more likely to acquire sports injuries. The AUC value of the ROC curves was 0.764 (95% CI: 0.618-0.909) in the low PA students, 0.781 (95% CI: 0.729-0.936) in the moderate PA students, and 0.721 (95% CI: 0.613-0.879) in the high PA students. Furthermore, students stratified by SP level showed an AUC value of 0.730 (95% CI 0.607-0.853) in the low SP group and 0.778 (95% CI 0.662-0.894) in the moderate SP group, while it declined to 0.705 (95% CI 0.511-0.800) in the high SP group. The FMS cut-off score successfully identified individuals who reported sports injuries at a higher rate in the low (PA, 84.62%; SP, 90.48%) and moderate (PA, 93.75%; SP, 77.78%) groups than in the high groups (PA, 65.52%; SP, 57.89%). The FMS composite score could be used to predict sports injuries in college students with an FMS cut-off value of 17.5. Population stratification by the levels of PA and SP seems to influence the predictive accuracy of the FMS.

Background: Balance ability is the basis of human actions. Improving the accuracy of dynamic balance assessment can increase the efficiency of sports injury prediction.Objectives: This study aimed to investigate how physical activity and sports performance affect the dynamic balance ability of lower limbs and validate whether the Lower Quarter Y-Balance Test (YBT-LQ) is a reliable predictor of sports injury risk among Chinese physical education college students.Materials and Methods: In total, 169 voluntary participants completed the YBT-LQ at the beginning of a semester and provided some physiological information and an injury report at the end of the semester. The correlation between YBT-LQ performance and selected factors that can affect the dynamic balance control was analyzed based on data statistics. The receiver operating characteristic (ROC) and the area under curve (AUC) of the composite scores of the YBT-LQ were calculated to explore an optimal cutoff value for predicting sports injury risk.Results: The composite scores of the YBT-LQ exhibited strong correlations with both the sports performance level and sports injury, as well as a moderate correlation with physical activity level, age (negative), and metabolic equivalent (MET). In the entire study population, the area under the receiver operating characteristic (ROC) curves for the binary classification of composite YBT-LQ scores of the left and right legs to predict sports injury risk were 0.78 and 0.74, respectively. Stratifying the study participants based on their levels of physical activity and sports performance had an effect on the AUC values of ROC curves. The optimal cutoff scores of the YBT-LQ for predicting sports injury risk were variable, with values more or less than 95%. Specifically, the cutoff scores for participants with the highest level of sports performance were notably higher, reaching up to 106.5% (left) and 107.2% (right).Conclusion: Physical activity and sports performance can influence human dynamic balance control. Composite scores of the YBT-LQ can be used with acceptable efficiency to predict sports injury. Stratifying participants based on their levels of physical activity and sports performance leads to different optimal cutoff values of the YBT-LQ composite scores in predicting sports injury. This approach is preferable to relying solely on a uniform 95% cutoff. It is recommended to analyze individuals with higher levels of sports performance, such as elite athletes, separately from those with lower levels. This is because the former group has a higher optimal cutoff value compared to the latter.

The occurrence of sports injury has been proven to be highly associated with injury history. (1) Background: This study aimed to validate the feasibility and effectiveness of the Functional Movement Screen (FMS) as a predictor of sports injury risk for Chinese police staff by exploring the optimal cut-off value of the FMS total score for the identification of previous injury. (2) Methods: More than 160 Chinese police staff were recruited and completed the FMS and interviews. The recorders of 148 (79 females and 69 males) participants met the data analysis requirements. For the goal of evaluating the total score of the FMS as a predictor of sports injury risk, all data underwent statistical analysis, calculation of ROC and AUC, evaluation of threshold validity, and so on. (3) Results: The total score frequency distribution of participants’ FMS presented the shape of a normal distribution. The statistical results of the study showed that the FMS composite scores (10.6 ± 2.28) of the police staff with a sports injury history were indeed less than those without an injury history (12.4 ± 2.26). The threshold of a total score of the FMS test that warned of a sports injury risk in Chinese police staff on the basis of a previous injury history was 13.5, with an acceptable AUC value (0.701). In accord with the real social environment and the rule of natural human physiological change, the FMS results of this study showed a distinct deterioration trend with increasing age. (4) Conclusions: The FMS deserves consideration by trainers and clinicians as a pre-exercise physical examination for Chinese police staff to avoid sports injury.