Objective To investigate the effect of hydrogen peroxide (H_2O_2) on apoptosis and calcium ion concentration of skeletal muscle satellite cells (SMSCs) in rats, and to explore the protective effect of erythropoietin (EPO).Methods The cultured SMSCs were divided into five groups: control group,H_2O_2 group, 10, 20 and 40 U/ml EPO intervention groups.Apoptosis rates and calcium ion concentration of SMSCs were analyzed by flow cytometry, and the morphology of apoptotic cells was observed by Hoechst33258 staining.Results The apoptosis rates showed significant differences (all P<0.05) among (1.93±0.57)% in control group, (22.13±1.79)% in H_2O_2 group, (16.47±2.53)%, (4.97±0.55)% and (2.93±0.47)% in 10, 20 and 40 U/ml EPO intervention groups, respectively.And calcium ion concentrations in SMSCs were 12.67 ±0.32, 27.90±0.06 and 44.53±0.93 in 10, 20 and 40 U/ml EPO intervention groups, respectively.There was significant difference in calcium ion concentration between H_2O_2 group and control group (9.70±0.09 vs.51.37± 0.64, P< 0.05).Morphology of apoptosis was observed by Hoeehst33258 dye stains in 10, 20 U/ml EPO intervention group and H_2O_2 group, while there were less apoptotic bodies in 40 U/ml EPO intervention group and control group.Conclusions EPO might have protective effects on SMSCs injured by H_2O_2 through inhibiting apoptosis and calcium ion releasing from SMSCs.

Establishment of quality management system (QMS) plays a critical role in the clinical data management (CDM). The objectives of CDM are to ensure the quality and integrity of the trial data. Thus, every stage or element that may impact the quality outcomes of clinical studies should be in the controlled manner, which is referred to the full life cycle of CDM associated with the data collection, handling and statistical analysis of trial data. Based on the QMS, this paper provides consensus on how to develop a compliant clinical data management plan (CDMP). According to the essential requirements of the CDM, the CDMP should encompass each process of data collection, data capture and cleaning, medical coding, data verification and reconciliation, database monitoring and management, external data transmission and integration, data documentation and data quality assurance and so on. Creating and following up data management plan in each designed data management steps, dynamically record systems used, actions taken, parties involved will build and confirm regulated data management processes, standard operational procedures and effective quality metrics in all data management activities. CDMP is one of most important data management documents that is the solid foundation for clinical data quality.