ABSTRACT
Background and purpose:Adenosine triphosphate-binding cassette superfamily G member 2 (ABCG2), which has been found over-expressed in a variety of cancer cells, takes part in the drug resistance of cancer through effux of anticancer drugs. The purpose of this study was to investigate the mechanisms of human glioblastoma cells sensitivity to pyropheophorbide-a methyl ester (MPPa)-mediated photodynamic therapy (PDT) eradicating tumour cells and its relationship to ABCG2.Methods:U87 and A172 glioma cell lines in the logarithmic growth phase were selected and exposed to the treatment of MPPa-PDT and MPPa-PDT+fumitremorgin C (FTC) respectively. The cell viability was measured with the use of CCK-8 assay. The expression of ABCG2 was detected by Western blot. The intracellular contents of MPPa in each group without illumination were tested by lfow cytometry. Flow cytometry with AnnexinⅤ-FITC/PI double staining was used to detect the cell apoptotic rate. DCFH-DA staining was used to assess the generation of intracellular reactive oxygen species (ROS).Results:The MPPa-mediated PDT could eradicate A172 and U87 cancer cells in an energy-dependent manner. The light energy density in A172 was 8 times of that in U87 when the cell viability reached median lethal dose after MPPa-mediated PDT. The high expression of ABCG2 in A172 cells affected the accumulation of intracellular MPPa. Inhibition of ABCG2, not only could enhance the eradicating effect of MPPa-PDT on A172 cells, but also could increase the yield of ROS triggered by MPPa-PDT and the accumulation of intracellular MPPa.Conclusion:The human glioblastoma cell line A172 is insensitive to MPPa-mediated PDT. The mechanism may relate to ABCG2, which decreases the MPPa content in cancer cells through effux of MPPa, resulting in decline of cytotoxicity.
ABSTRACT
According to characteristics of gait-assisted training, exoskeleton-based lower limb rehabilitation robot can be classified into treadmill-based exoskeleton robot and over-ground exoskeleton robot. Both kinds of exoskeleton-based lower limb rehabilitation robot have been applied in stroke rehabilitation, both in subacute and chronic stages, that may do something in gait training, balance improvement and lower limb motor function recovery.
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The practice of general practice emphasizes that the general practitioner is the backbone, and the primary health institution is the main body, which solves the main health problems of the commu-nity and meets the basic health service needs of the residents. Rehabilitation medicine occupies a prominent position in the community health service, and its related knowledge and skills are the important part of the whole medical education. However, rehabilitation medicine has more teaching contents, less training time and out-of-date teaching model, which have made the effect of rehabilitation medicine teaching not good. In the rehabilitation medicine teaching for training general practitioners, by strengthening the concept of reha-bilitation, elaborating teaching content, optimizing teaching ward-round, and outstanding ability as well as reforming evaluation way, we try to exercise the students' clinical thinking and improve clinical skills, to cultivate outstanding qualified general medical practitioners for community rehabilitation ultimately.
ABSTRACT
Objective To evaluate the effects of robot-assisted gait training on the lower limb motor functions of in hemiplegic stroke patients.Methods Forty stroke patients with hemiplegia were randomly divided into a treatment group and a control group.Both groups were treated with routine rehabilitation therapies for 60 min daily in 6 weeks.The patients in the treatment group were given robot-assisted gait training for 30 min daily for 6 weeks.The lower limb part of Fugl-Meyer assessment (FMA) , the Ueda Satoshi standardized hemiplegic function scale and the functional ambulation categories (FAC) were used to evaluate the lower limb motor function before and after the sixweeks of therapies.Results There were no significant difference between the two groups before treatment with regard to all the three assessment measurements.After 6 weeks of treatment, both groups significantly improved in terms of the scores with FMA, the grade of Ueda Satoshi standardized hemiplegic function scale and the FAC (P ＜0.05).But the treatment group had significantly greater improvement than the control group (P ＜ 0.05).Conclusions The robot-assisted gait training can supplement the routine rehabilitation therapies in improving lower limb motor function in stroke patients.
ABSTRACT
From among the patients who visited the Dept. of Rehabilitation of West China Hospital for arthalgia in the period from Aug. 2003 to Dec. 2005, we recruited 566 male patients who were over 40 years of age and did not have hyperostosis in the lumbar spine, and whose T scores were each less than--1. Their ages ranged from 40 to 93 years, and the average age was 62.93 +/- 13.50. The dual-energy X-ray absorptiometry from DMS Company in France was used to measure the bone density of the L2-4 anterior-posterior. The basic data about the subjects, containing the age, height, weight, diabetes mellitus, exercise and smoking or not, were recorded. Then the body mass index were calculated. In accordance to the T score, the subjects were separated into two groups: osteopenia group and osteoporosis group. In comparison of the basic data between groups, BMI of osteoporosis group was significantly higher than that of the osteopenia group, but the number of the subjects who exercised was smaller (P < 0.05). Multiple linear regression analysis revealed that in the case BMI increased by 1 kg/m2, BMD significantly decreased by 0.003 g/cm2 (P = 0.002), and the age negatively correlated with BMD (B = -0.001, P = 0.035). "Exercise or not" was positively related to BMD (B = 0.028, P = 0.000). "Smoking or not" and BMD were not significantly correlated (P = 0.837). In conclusion, increase of BMI, or we may say, increase of fat, would decrease the lumbar spine average BMD in the patients of osteoporosis or osteopenia. Some reports have pointed out that only by increasing BMI with increased amount of muscles, but not with increased amount of fat, would be beneficial to the prevention of osteoporosis. So we concluded that the muscle amount in the subjects should be taken into account when we probe into the relation between BMI and BMD.