RESUMEN
BACKGROUND: Tenuigenin (TEN), a major active component of the Chinese herb Polygala tenuifolia root, has been used to improve memory and cognitive function in Traditional Chinese Medicine for centuries. PURPOSE: The present study was designed to explore the possible neuroprotective effect of TEN on the streptozotocin (STZ)-induced rat model of sporadic Alzheimer's disease (sAD). METHODS: STZ was injected twice intracerebroventrically (3 mg/kg, ICV) on alternate days (day 1 and day 3) in Rats. Daily treatment with TEN (2, 4, and 8 mg/kg) starting from the first dose of STZ for 28 days. Memory-related behaviors were evaluated using the Morris water maze test. Hyperphosphorylation of tau proteins in hippocampus were measured by western blot assay. Superoxide dismutase activities, malondialdehyde, glutathione peroxidase and 4-hydroxy-2-nonenal adducts contents were also measured in the hippocampus. RESULTS: Treatment with TEN significantly improved STZ-induced cognitive damage, markedly reduced changes in malondialdehyde and 4-hydroxy-2-nonenal adducts, and significantly inhibited STZ-induced reduction in superoxide dismutase and glutathione peroxidase activities in the hippocampus. In addition, TEN decreased hyperphosphorylation of tau resulting from intracerebroventricular STZ (ICV-STZ) injection, and Nissl staining results showed that TEN has protective effects on hippocampal neurons. CONCLUSION: These results provide experimental evidence demonstrating preventive effect of TEN on cognitive dysfunction, oxidative stress, and hyperphosphorylation of tau in ICV-STZ rats. This study indicates that TEN may have beneficial effects in the treatment of neurodegenerative disorders such as AD.
RESUMEN
Background. We illustrated an example of structure equation modelling (SEM) in the research on SHS to explore the diagnosis of the Sub optimal health status (SHS) and provide evidence for the standardization of traditional Chinese medicine (TCM) patterns in SHS. And the diagnosis of 4 TCM patterns in SHS was evaluated in this analysis. Methods. This study assessed data on 2807 adults (aged 18 to 49) with SHS from 6 clinical centres. SEM was used to analyze the patterns of SHS in TCM. Parameters in the introduced model were estimated by the maximum likelihood method. Results. The discussed model fits the SHS data well with CFI = 0.851 and RMSEA = 0.075. The direct effect of Qi deficiency pattern on dampness pattern had the highest magnitude (value of estimate is 0.822). With regard to the construct of "Qi deficiency pattern", "fire pattern", "stagnation pattern" and "dampness pattern", the indicators with the highest load were myasthenia of limbs, vexation, deprementia, and dizziness, respectively. It had been shown that estimate factor should indicate the important degree of different symptoms in pattern. Conclusions. The weights of symptoms in the respective pattern can be statistical significant and theoretical meaningful for the 4 TCM patterns identification in SHS research. The study contributed to a theoretical framework, which has implications for the diagnosis points of SHS.