الملخص
During the storage process, Chinese medicinal materials are susceptible to insect infestation due to their own nature and external storage factors. Infestation by insects can have varying impacts on the materials. In mild cases, it affects the appearance and reduces consumer purchasing power, while in severe cases, it affects the quality, reduces medicinal value, and introduces impurities such as insect bodies, excrement, and secretions, resulting in significant contamination of the medicinal materials. This study reviewed the rele-vant factors influencing insect infestation in Chinese medicinal materials and the compositional changes that occur after infestation and summarized maintenance measures for preventing insect infestation. Additionally, it provided an overview of detection techniques applicable to identifying insect infestation during the storage of Chinese medicinal materials. During the storage process, insect infestation is the result of the combined effects of biological factors(source, species, and population density of insects), intrinsic factors(moisture, chemical composition, and metabolism), and environmental factors(temperature, relative humidity, and oxygen content). After infestation, there are significant changes in the content of constituents in the medicinal materials. By implementing strict pre-storage inspections, regular maintenance after storage, and appropriate storage and maintenance methods, the occurrence of insect infestation can be reduced, and the preservation rate of Chinese medicinal materials can be improved. The storage and maintenance of Chinese medicinal materials are critical for ensuring their quality. Through scientifically standardized storage and strict adherence to operational management standards, the risk of insect infestation can be minimized, thus guaranteeing the quality of Chinese medicinal materials.
الموضوعات
Animals , Drug Contamination/prevention & control , Insecta , Preservation, Biological , Temperatureالملخص
BACKGROUND: Studies have shown that bone marrow mesenchymal stem cells (BMSCs) can treat central nervous system diseases. BMSCs have the function of self-renewal and differentiation into a variety of neural cell types. BMSCs with self-renewal and multi-directional differentiation abilities can successfully differentiate into dopaminergic neurons after transplantation into an animal model. OBJECTIVE: To observe the effect of transplanted BMSCs on behavior and dopaminergic neurons in rats with manganese poisoning. METHODS: Rat models of manganese poisoning were constructed by intraperitoneal injection of MnCl2?4H2O into Sprague-Dawley rats. The model rats were then randomly divided into two groups, BMSCs and phosphate buffered solution (PBS) control group, and 5 μL of passage 3 human BMSCs suspension or equivalent PBS was transplanted into the right striatum of the manganese poisoning rats. One month after transplantation, the rats were subjected to behavioral assessment. The differentiation of BMSCs was observed by immunofluorescence. The contents of dopamine, brain-derived neurotrophic factor, glial cell-derived neurotrophic factor in the right striatum of rats were detected by ELISA. RESULTS AND CONCLUSION: The behavioral score of the BMSCs treated group was significantly lower than that of the PBS control group after transplantation (P < 0.05). Double-labeled positive cells for human-specific nuclear antigen/tyrosine hydroxylase (hNUC/TH) and human-specific nuclear antigen/glial cell-derived acidic protein (hNUC/GFAP) were observed in the BMSCs treated group after transplantation. Meanwhile, hNUC/TH and hNUC/GFAP double-labeled positive cells were undetected in the PBS control group after transplantation. The expression levels of dopamine, brain-derived neurotrophic factor, glial cell-derived neurotrophic factor in the BMSCs treated group were higher than those in the PBS control group. This suggests that BMSCs can improve the behavior of manganese poisoning rats and can differentiate into dopaminergic neurons and astrocytes.
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Objective To investigate the current status and influencing factors regarding quality of life among patients with Alzheimer' s disease (AD).Methods Through stratified cluster sampling method,two hundred patients with AD and their caregivers were chosen and interviewed.AD patients were assessed by questionnaires,Montreal Cognitive Assessment,and Quality of LifeAlzheimer' s Disease (QOL-AD),in order to compare the reports from patients and caregivers on QOL-AD and to analyze related influencing factors.Descriptive analysis,paired t-test,analysis of variance (ANOVA),Pearson' s correlation and multiple linear regression were performed using the Statistical Package for Social Science (SPSS).Results The scores of reports from patients (28.78 ±4.30) were lower than that from the caregivers' (30.05 ± 6.05).The difference was statistically significant (t=2.122,P＜0.05) and was positively correlated (r=0.312,P＜0.001).Data from multivariate analysis showed that cognitive level (t=3.465,P=0.001),marriage relationship (t=3.062,P=0.003 ),having public activities (t =2.581,P=0.011 ),personal characters (t =2.254,P =0.026),restricted diet pattern (t=3.614,P＜0.001),regularly drinking tea (t=2.652,P=0.009) and doing housework (t=3.180,P=0.002) were predictive factors.Conclusion Scores from the caregiver' s report on QOL-AD were higher than that from the patients'.Many factors influenced the quality of life on AD patients.Strategies on improving the quality of life among AD patients can be developed based on the findings of this study.
الملخص
Objective The aim of this study was to introduce the multi-slate Markov model for the prediction of mild cognitive impairment (MCI) to Alzheimer' s disease (AD) and to find out the related factors for AD prevention and early intervention among the elderly.Methods MCI,moderate to severe cognitive impairment,and AD were defined as state 1,2 and 3,respectively.A three-state homogeneous model with discrete states and discrete times from data on six follow-up visits was constructed to explore factors for various progressive stages from MCI to AD.Transition probability and survival curve were made after the model fit assessment.Results At the level of 0.05,data from the multivariate analysis showed that gender (HR=I.23,95％CI:1.12-1.38),age (HR=I.37,95％ CI:1.07-1.72),hypertension (HR=l.54,95％ CI:1.31-2.19) were statistically significant for the transition from state 1 to state 2,while age (HR=0.78,95％ CI:0.69-0.98),education level (HR=1.35,95％ CI:1.09-1.86) and reading (HR=1.20,95％ CI:1.01-1.41 ) were statistically significant for transition from state 2 to state 1,and gender (HR=1.59,95％ CI:1.33-1.89),age (HR=1.33,95％ CI:1.02-1.64),hypertension (HR=l.22,95％ CI:1.11-1.43),diabetes (HR=1.52,95％CI:1.12-2.00),ApoEε4 (HR=1.44,95％CI:1.09-1.68) were statistically significant for transition from state 2 to state 3.Based on the fired model,the three-year transition probabilities during each state at average covariate level were estimated.Conclusion To delay the disease progression of MCI,phase by phase prevention measures could be adopted based on the main factors of each stage.Multi-state Markov model could imitate the natural history of disease and showed great advantage in dynamically evaluating the development of chronic diseases with multi-states and multi-faetors.