Determination of Active Components of Lamiophlomis rotata(Benth.)Kudo by Ultra-performance Convergence Chromatography

[Objectives]To determine active components of Lamiophlomis rotata(Benth.)Kudo.[Methods]A new method was developed for the quantitative determination of L.rotata by using Ultra-performance convergence chromatography.The separation of active components of L.rotata was successfully achieved on Waters ACQUITY UPC column,with gradient elution carbon dioxide and methanol solvent at flow rate of 0.7 mL/min.The separation gradient elution rate was as follows:15%methanol 0-1 min,18%methanol 1-5 min,20%methanol 5-6 min,25%methanol 6-7 min,30%methanol 7-8 min,30%methanol 8-9 min,15%methanol 9-10 min.The conditions used in the separation process was as follows:column temperature 30℃;injection volume 2μL.Under the abovementioned conditions,the content of methyl glucoside was measured by 3D-full wavelength scanning.The validity of the method was tested by analyzing the precision,reproducibility,stability and accuracy.[Results]The results indicated that in terms of extraction and separation of compounds,supercritical CO2 not only has the diffusion property of gas,but also has the density and fluidity of liquid.[Conclusions]The ultra-high performance chromatography is a new technique for drug analysis.

Testing the role of genetic variation of the MC4R gene in Chinese population in antipsychotic-induced metabolic disturbance

Antipsychotic-induced metabolic disturbance(AIMD) is a common adverse effect of antipsychotics with genetics partly underpinning variation in susceptibility among schizophrenia patients. Melanocortin4 receptor(MC4 R) gene, one of the candidate genes for AIMD, has been under-studied in the Chinese patients. We conducted a pharmacogenetic study in a large cohort of Chinese patients with schizophrenia. In this study, we investigated the genetic variation of MC4 R in Chinese population by genotyping two SNPs(rs489693 and rs17782313) in 1,991 Chinese patients and examined association of these variants with the metabolic effects that were often observed to be related to AIMD. Metabolic measures, including body mass index(BMI), waist circumference(WC), glucose, triglyceride, high-density lipoprotein(HDL), and low-density lipoprotein(LDL) levels were assessed at baseline and after 6-week antipsychotic treatment. We found that interaction of SNP×medication status(drug-na?ve/medicated) was significantly associated with BMI, WC, and HDL change %, respectively. Both SNPs were significantly associated with baseline BMI and WC in the medicated group. Moderate association of rs489693 with WC, Triglyceride, and HDL change % were observed in the whole sample. In the drug-na?ve group, we found recessive effects of rs489693 on BMI gain more than 7%, WC and Triglyceride change %, with AA incurring more metabolic adverse effects. In conclusion, the association between rs489693 and the metabolic measures is ubiquitous but moderate. Rs17782313 is less involved in AIMD. Two SNPs confer risk of AIMD to patients treated with different antipsychotics in a similar way.

Interaction Between Variations in Dopamine D2 and Serotonin 2A Receptor is Associated with Short-Term Response to Antipsychotics in Schizophrenia

Dear Editor,Schizophrenia is a chronic and debilitating brain disorder,which has a strong genetic component with heritability ranging from 66%to 85%[1,2].Currently,antipsychotic drugs remain the most effective treatment for the psychotic symptoms of schizophrenia[3].Because of the severe sideeffects of first-generation antipsychotics(FGAs),secondgeneration antipsychotics(SGAs)have become more widely used in the treatment of schizophrenia.