Some issues of time-correlated single-photon counting technology for detection for optical properties of biological tissue are discussed,including its basic principle,components and conventional methods applying the technology.

Foreign student education is an important task in medical colleges and universities.Clinical neurology teaching is very difficult because of its complex discipline.Neurologists in the First Affiliated Hospital of Chongqing Medical University summarized and analyzed the common problems including the training of teachers' ability to use language,teaching of basic subjects,clinical skills training,promotion of patients' compliance and implementation of regular tests so as to provide references for improving the quality of neurology teaching.

BACKGROUND: Metoprolol is a selective β1-Blocker commonly used in essential hypertension. It is metabolized by CYP2D6. CYP2D6*10, which was identified to decrease activity of CYP2D6, is the main variance in Chinese population. β1-adrenergic receptor, with Ser49Gly and Gly389Arg polymorphisms, is the target of metoprolol. It was still unknown that whether the CYP2D6 and β1-adrenergic receptor had a synergic effect on metoprolol antihypertension therapy. AIM: To clarify the genetic polymorphism associated with metoprolol pharmacokinetics and pharmacodynamics in antihypertension therapy. METHODS: 125 mild-to-med essential hypertension patients were enrolled in this study. Patients were mono-therapied with metoprolol for 12 weeks. Blood pressure was monitored every 4 weeks. PCR-RFLP method was use to identify CYP2D6*10 and β1-adrenergic receptor Ser49Gly and Gly389Arg polymorphisms. Plasma metoprolol concentration was measured by HPLC- fluorescence detection. RESULTS: Trough blood level (C0) of metoprolol was associated with CYP2D6*10 variance in a gene-dose-effect manner, whereas the extent of blood pressure decrease was not significant different in CYP2D6*1*1, *1*10 and CYP2D6*10*10 patients. After 12 weeks metoprolol therapy, Gly49 carriers had stronger decrease in systolic and diastolic blood pressure than that of Ser49 homozygotes. Similarly, subjects homozygous for Arg389 had stronger decrease in blood pressure than that of Gly389 carriers. CONCLUSION: CYP2D6*10 variance significantly change the pharmacokinetics of metoprolol, and the genetic polymorphisms of β1-adrenergic receptor were associated with the pharmacodynamics of metopolol in antihypertension therapy.

BACKGROUND: There is a growing recognition that the adipose tissue is an endocrine organ that secretes signaling molecules such as adiponectin and resistin. The peroxisome proliferator activated receptor γ (PPARγ) is expressed in high levels in the adipose tissue. Thiazolidinediones are selective PPARγ agonists with insulin-sensitizing properties. It has been postulated that thiazolidinediones such as rosiglitazone exert their pharmacodynamic effects in part through modulation of resistin (implicated in insulin resistance) and adiponectin (an insulin-sensitizing molecule) expression subsequent to activation of PPARγ. There are conflicting data, however, on the biological direction in which resistin expression is modulated by PPARγ agonists and whether an increase in adiponectin expression can occur in the face of an upregulation of resistin. METHODS: Using the murine 3T3-L1 adipocytes as a model, we evaluated the changes in resistin and adiponectin gene expression after vehicle, rosiglitazone (10 μmol/L, a PPARγ agonist), GW9662 (5 μmol/L, a selective PPARγ antagonist) or GW662 and rosiglitazone co-treatment.RESULTS: In comparison to vehicle treatment, rosiglitazone increased the average adiponectin and resistin mRNA expression by 1.66- and 1.55-fold, respectively (P＜0.05). Importantly, GW9662 also upregulated adiponectin expression (by 1.57-fold, P＜0.05) but did not influence resistin expression (P＞0.05). Co-treatment with rosiglitazone and GW9662 maintained the adiponectin upregulation (1.87-fold increase from vehicle, P＜0.05) while attenuating resistin upregulation (1.31-fold increase from vehicle, P＜0.05) induced by rosiglitazone alone (1.55-fold increase from vehicle, P＜0.05). CONCLUSION: This study presents new evidence that adiponectin transcript is upregulated with both a PPARγ agonist (rosiglitazone) and antagonist (GW9662), while GW9662 co-treatment does not block rosiglitazone-induced adiponectin upregulation. These data collectively suggest that biological mechanisms independent from PPARγ may underlie thiazolidinedione pharmacodynamics on adiponectin expression. Moreover, increased adiponectin expression by GW9662, in the absence of an upregulation of resistin expression, lends further support on the emerging clinical potential of PPARγ antagonists in treatment of insulin resistance. Decreased resistin expression may not be crucial for the insulin-sensitizing effect of rosiglitazone. These findings may serve as a foundation for future dose-ranging and time-course studies of thiazolidinedione pharmacodynamics on adipocytokine expression in human adipocytes.