[Protective effect of sodium pyruvate on ischemia/reperfusion injury of rats subjected to hemorrhagic shock].

AIM: To study the protective effect of sodium pyruvate on ischemia/reperfusion injury following hemorrhagic shock. METHODS: Rat models of hemorrhagic shock were built up. When the shed blood was infused, the rats were also randomly provided by one of normal saline, glutathione and sodium pyruvate. Rats were killed 3 hours after the reperfusion, the activity of plasma lactate dehydrogenase (LDH) and glutamic-oxaloacetic transaminase (GOT), the level of tissue malondialdehyde (MDA) and the activity of tissue myeloperoxidase (MPO) were detected. Biopsy specimens were obtained to investigate morphological changes of the myocardial, hepatic, lung and renal tissue. RESULTS: The activity of plasma LDH and GOT, the level of MDA of hepatic, lung and renal tissue and the activity of MPO of myocardial, lung and renal tissue decreased remarkably in group given sodium pyruvate compared with group given normal saline, and the effect of group given sodium pyruvate was more remarkable than group given glutathione. CONCLUSION: These data support the view that sodium pyruvate shows protective effect on ischemia/reperfusion injury following hemorrhagic shock. It is possibly relevant to scavenging of oxygen free radicals, reduction of neutrophil, and anti-inflammatory response.

[Gene prediction and function research of SARS-CoV(BJ01)].

Through reading the articles, this study points out the shortage of gene prediction and function research about SARS-CoV, and predict it again for developing effective drugs and future vaccines. Using twelve gene prediction methods to predict coronavirus known genes, we select four better methods including Heuristic models, Gene Identification, ZCURVE_CoV and ORF FINDER to predict SARS-CoV(BJ01), and use ATGpr for analyzing probability of initiation codon and Kozak rule, search transcription regulating sequence(TRS) in order to improve the accuracy of predicted genes. Twenty-one probable new genes with more than 50 amino acids have been obtained excluding 13 ORFs which are similar to the genes of NCBI and relative articles. For predicted proteins, we use ProtParam to analyse physical and chemical features; SignalP to analyse signal peptide; BLAST, FASTA to search similar sequences; TMPred, TMHMM, PFAM and HMMTOP to analyse domain and motif in order to improve reliability of gene function prediction. At the same time, we separate the 21 ORFs into four classes using codition of four gene prediction methods, match score, match expection and match length between predicted gene and Coronavirus known gene. In the end, we discuss the results and analyse the reasons.