ObjectiveTo summarize the application of pressure support ventilation (PSV) on cervical spinal cord injured patients with respiratory dysfunction.MethodSixteen patients were studied.Respiratory rate (RR),tidal volume (VT), minute ventilation (VE),peak inspiration pressure (PIP), dynamic lung conpliance (Cdyn), blood pH value, PaO2 and PaCO2 were measured under the different pressure levels of PSV. ResultAll parameters correlated with the level of PSV. Conclusion Appropriate PSV levels can make the respiratory parameters close to the reasonable level and respiratory functional status for the cervical cord injured patients with respiratory dysfunction.

ObjectiveTo observe the difference between pressure support ventilation(PSV) and synchronized intermittent mandatory ventilation(SIMV) in cervical spinal cord injury patients with respiratory failure.MethodsThe blood gas analysis,respiratory rate,heart rate,blood pressure and subjective feelings were observed in the same patient under different ventilation(PSV or SIMV).ResultsThere was no significant difference in blood pressure when patients underwent PSV and SIMV.Otherwise,There was significant difference in respiratory rate,heart rate,pH,PaO2,PaCO2 and subjective feelings when patients underwent PSV and SIMV,which showed that of PSV were better.ConclusionThe effect of PSV was better than that of SIMV on respiratory failure after cervical spinal cord injury.

Objective To approach the involved position and regulation as well as the clinical characteristics of hereditary multiple exostoses(HME).Methods One HME pedigrees including men and women 7 cases respectively confirmed clinically and pathologically was analysed.Results The most common location of exostoses was metaphysis of long bones.No exostoses was found in craniofacial bone.Conclusion There is no sex difference in the incidence of HME and the location of exostoses is mostly at metaphysis of long bones in this family.

Metabolic regulation is an important mechanism by which organisms adapt to changes in the internal and external environment. Metabolic small molecules function as versatile messengers involved in signaling networks and organ crosstalk, which carries great implications for understanding physiological processes, revealing disease mechanisms and discovering drug targets. In this review, we present an overview of the main progresses in metabolic regulation and drug target discovery researches in China, and look forward to its future direction, which may provide a reference for the drug development endeavor based on metabolic regulation.

AIM: To study the pharmacokinetics of phenolic acids from Mailuoning injection in rats. METHODS: SD rats were given a single i.v. administration dose of Mailuoning injection 10 mL/kg, plasma and urine were collected before and after injection. Phenolic acid components in plasma and urine were measured by LC/MS. Pharmacokinetic parameters were determined from the plasma concentration-time data and urinary excretion-time data with the DAS software package. RESULTS: After i.v. of Mailuoning injection, chlorogenic acid (CGA), 1, 5-dicaffeylquinic acid (1,5-DCQA), 3, 4-dicaffeylquinic acid (3,4-DCQA), 3, 5-dicaffeylquinic acid (3,5-DCQA) and caffeic acid (CA) were quickly excrectioned. The t1/2 of CGA, 1,5-DCQA, 3,4-DCQA, 3,5-DCQA and CA were 0.649, 0.334, 0.479, 0.486 and 0.330 h, respectively. AUC0-∞ were (22.522±2.716), (0.353±0.062), (3.620±1.246), (5.287±1.627) and (2.257±0.360) mg·L-1·h, respectively. After i.v. of Mailuoning injection, CGA, 1,5-DCQA, 3,4-DCQA, 3,5-DCQA and CA can all be detected in the urine. The amounts of CGA, 1,5-DCQA, 3,4-DCQA, 3,5-DCQA and CA excreted from urine during 0-24 h were (122.22±26.49)%, (3.30±1.26)%, (0.24±0.11)%, (1.93±0.77)% and (18.61±4.99)% of dose given in rats, respectively. CONCLUSION: After i.v. of Mailuoning injection, phenolic acids can be excreted quickly. Only a small quantity of 1,5-DCQA, 3,4-DCQA, 3,5-DCQA and CA were excreted from urine. 3,4-DCQA and 3,5-DCQA may be metabolized into CGA in the rat plasma.

Aim Drug repositioning is to find new indications for existing drugs,however,potential drug-disease relationships are often hidden in millions of unknown relationship.With the analyzing of medical big data,we predict the potential drug-dis-ease relationships.Methods Based on the assumption that similar drugs tend to have similar indications,we applied a rec-ommendation-based strategy to drug repositioning.First,we col-lected the information of known drug-disease therapeutic effect, side effect,drug characters and disease characters;second,we calculated the drug-drug similarity measurements and disease-disease similarity measurements;last,we used a collaborative filtering (CF)method to predict unknown drug-disease relation-ships based on the known drug-disease relationships by integra-ting the similarity measurements,and built a ranking list of pre-diction results.Results The experiments demonstrated that a-mong the TOP 500 of the list,1 2.8% were supported by clinical experiments or review,and 20% were supported by model or-ganism or cell experiments.Conclusion Compared to the clas-sification model and random sampling results,the CF model can effectively reduce the false positives.

This paper analyses overall situation of the national quality inspection for medical devices in recent 13 years. The statistics cover the inspected varieties, sampling quantity and quality status. The achievements and suggestions are provided, which are helpful for future work.
Equipment and Supplies ; standards ; Humans

Objective To explore the pathogenesis mechanism of hyperoxic lung injury and the effective means for its clinical treatment,the difference of the gene expressions between lung tissues of hyperoxic lung injury and normal lung was compared.Methods The differentially expressed genes between lung tissues of hyperoxic lung injury and normal lung were obtained from PubMed.The dysregulated genes in lung tissues of hyperoxic lung injury were analyzed by a series of bioinformatics methods,including pathways,gene ontology and functional annotation clustering analysis.Results 467 lines of differentially expressed genes were found and genes more than 2-fold regulated were 189.We sought the mapping of genes in the KEGG databases through functional annotation tools,and we discovered there were 5 lines of pathways with difference having outstangding statistical significance through metabolic pathways enrichment degree analysis.It reflected the pathways were closely related to hyperoxic lung injury (the 2-fold upregulated genes were 14,the 2-fold down-regulated genes were 6).GO analysis revealed that these genes were involved in hematopietic cell lineage,axon guidance,adherens junction,T cell receptor signaling pathway and focal adhesion.Conclusions Therefore,it is believed that the above-mentioned 20 lines of gnes are the major ones for the hyperoxic lung injury and the research on them will provide effective means for revealing the molecular mechanism of hyperoxic lung injury and identifying the targeted therapy.

In order to explore the scientific connotation of "Fangzhengduiying (formula corresponding to pattern types)", "Qiyinliangxuzheng (Qi and Yin deficiency pattern)" of myocardial ischemia rat model and GC-TOF/MS based metabonomic method were used for comparing the effects of Sheng-mai injection, Salvia injection and propranolol in the present study. After data processing and pattern recognition, Sheng-mai injection showed better efficacy than the other two drugs in accordance with not only visual observation from PLS-DA scores plots but also the number of abnormal endogenous compounds restored to the normal level. Further studies showed that Sheng-mai injection could normalize the level of plasma endothelin-1, the index related to cardiovascular diseases and sleep disorders, which verified the results of metabonomics. Finally, the regulated metabolites and related metabolic pathways were analyzed, and it was supposed that the effects of Sheng-mai injection involved in the alternation of energy metabolism, lipid metabolism, amino acids metabolism, and so on. These findings provided scientific evidence to Shengmai "Fang" used for "Qi and Yin deficiency pattern" correspondingly, indicating that metabonomics has great potential in traditional Chinese medical research, which provides a novel approach and way to modernization of traditional Chinese medicine.