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PubMed | Wenzhou University, Wenzhou Chinese Medicine Hospital Wenzhou 325005 and Wenzhou Central Hospital Wenzhou 325000
Type: Journal Article | Journal: International journal of clinical and experimental medicine | Year: 2015

In order to investigate the effects of Zhu-tan Tong-luo decoction on the metabolic capacity of cytochrome P450 (CYP) enzymes, a cocktail method was employed to evaluate the activities of CYP2B6, CYP2C19, CYP1A2, CYP3A4, CYP2C9, CYP2D6. The rats were randomly divided into acute Zhu-Tan Tong-Luo decoction group (Low, High), chronic Zhu-Tan Tong-Luo decoction group (Low, High) and control group. The acute group rats were given 0.6, 1.2 g/kg (Low, High) Zhu-tan Tong-luo decoction by intragastric administration for 1 day, and the chronic group for 14 days. Six probe drugs bupropion, omeprazole, phenacetin, testosterone, tolbutamide, and metroprolol were given to rats through intragastric administration, and the plasma concentrations were determined by UPLC-MS/MS. There statistical pharmacokinetics differences for omeprazole, phenacetin, testosterone, tolbutamide, and metroprolol in rats were observed by comparing acute Zhu-tan Tong-luo decoction group with control group; and statistical pharmacokinetics differences for bupropion, omeprazole, phenacetin, testosterone, tolbutamide, and metroprolol were observed by comparing chronic Zhu-Tan Tong-Luo decoction group with control group. After intragastric administration of Zhu-Tan Tong-Luo decoction may slightly induce the activities of CYP2B6, CYP2C19, CYP1A2, CYP3A4, CYP2C9, CYP2D6 of rats. Induction of drug metabolizing enzyme by Zhu-Tan Tong-Luo decoction would reduce the efficacy of other drug. Additional, there no statistical difference for biochemical results after 1 or 14 intragastric administration of Zhu-Tan Tong-Luo decoction.


PubMed | Wenzhou University, Taizhou Cancer Hospital Zhejiang Province and Wenzhou Central Hospital Wenzhou 325000
Type: Journal Article | Journal: International journal of clinical and experimental medicine | Year: 2016

In order to develop pharmacokinetic model, a well-known multilayer feed-forward algorithm back-propagation artificial neural networks (BP-ANN) was applied to the pharmacokinetics of losartan in rabbit. The plasma concentrations of losartan in twelve rabbits, which were divided into two groups and given losartan 2 mg/kg by intravenous (Iv) and intragastrical (Ig) administration, were determined by LC-MS. The BP-ANN model included one input layer, hidden layers, and one output layer was constructed and compared with curve estimation based on the time-concentration data of losartan. The results showed the BP-ANN model had high goodness of fit index and good coherence (R > 0.99) between forecasted concentration and measured concentration both in Iv and Ig administration. The residuals of each concentrations generated by BP-ANN model were all smaller than Curve estimation. The pharmacokinetic result showed there was no significant difference between measured and simulated pharmacokinetic parameters including AUC(0-t), AUC(0-), MRT(0-t), MRT(0-), T1/2 V and Cmax (P > 0.05). In conclusion, the BP-ANN model has remarkably accurate predictions ability, which better than Curve estimation, and can be used as a utility tool in pharmacokinetic experiment.


PubMed | Guangxi Medical University and Wenzhou Central Hospital Wenzhou 325000
Type: Journal Article | Journal: International journal of clinical and experimental pathology | Year: 2016

A new diagnostic and prognostic biomarker may be of value in cancer diseases. Our study aimed to evaluate the CDKN1A/p21 and TGFBR2 level measurable in a cohort of patients with breast cancer after mastectomy, and to confirm their suitability to serve as prognostic biomarkers of the cancer.The expression levels of CDKN1A/p21 and TGFBR2 were detected by reverse transcription-PCR (RT-PCR), western blot assay and immunohistochemical staining for 65 primary tumor samples and paired adjacent noncancerous breast tissues. Their relations to clinicopathologic parameters and to the prognosis of patients with breast cancer were analyzed.We found the mRNA and protein expression levels of CDKN1A/p21 were significantly upregulated in breast cancer tissues compared with adjacent nontumorous breast tissues. Increased CDKN1A/p21 expression showed a significant correlation with larger tumor size (P=0.014), higher tumor dedifferentiation grade (P=0.021), lymph node metastasis (P=0.019) and a shorter disease-free survival (P=0.044). Contrarily, the expression levels of TGFBR2 mRNA and protein were significantly decreased in breast cancer tissues compared with adjacent nontumorous breast tissues. Underexpression of TGFBR2 in breast cancer was correlated with larger tumor size (P=0.034), lymph node metastasis (P=0.039) and a shorter disease-free survival (P=0.035). Statistical analysis suggested that there was no significant association between CDKN1A/p21 and TGFBR2 expression.in summary, our results suggested that high CDKN1A/p21 and low TGFBR2 expression was closely correlated with adverse pathological parameters and poor prognosis in breast cancer. Both CDKN1A/p21 and TGFBR2 are presented as possible candidates for breast cancer biomarkers.


PubMed | Wenzhou Central Hospital Wenzhou 325000
Type: Journal Article | Journal: International journal of clinical and experimental medicine | Year: 2016

Previous studies suggest that the RAD51 gene 135G/C polymorphism could be potentially associated with the risk of ovarian cancer. However, results from observational studies are conflicting rather than conclusive. We performed a meta-analysis of the literature aiming to clarify the relationship between the polymorphism of RAD51 gene 135G/C polymorphism and the risk of ovarian cancer. Summary odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. We identified five eligible articles, 2336 ovarian cancer cases and 3548 controls. Meta-analysis results showed no significant association between 135G/C polymorphism in the RAD51 gene and ovarian cancer risk (GG vs CC: OR=0.42, 95% CI 0.16-1.06; GC vs CC: OR=0.37, 95% CI 0.12-1.16; Dominant model: OR=0.38, 95% CI 0.13-1.06; Recessive model: OR=1.20, 95% CI 0.91-1.58). No publication bias was found in the present study. This meta-analysis suggests that the RAD51 gene 135G/C polymorphism was not associated with risk of ovarian cancer. Further large and well-designed studies are needed to confirm this conclusion.

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