ABSTRACT
Objective To establish a method for simultaneous determination of 11 components of Solanum nigrum from different producing areas,and to evaluate the quality by chemometrics and entropy weight-technique for order preference by similarity to ideal solution(EW-TOPSIS).Methods The 17 batches of Solanum nigrum samples from 8 provinces were collected.The high performance liquid chromatography(HPLC)method was used to simultaneously determine the contents of medioresino,pinoresinol,quercetin,rutoside,solasonine,solamargine,khasianine,solasodine,desgalactotigonin,diosgenin and β-sitosterol,and the multi-components quantitative control mode of Solanum nigrum was established.The quality evaluation model of Solanum nigrum was established by using chemical recognition pattern and EW-TOPSIS method,and the overall quality was evaluated comprehensively.Results When the 11 components were in the 0.78-39.00,0.55-27.50,0.34-17.00,0.21-10.50,41.87-2 093.50,60.95-3 047.50,2.58-129.00,1.02-51.00,0.46-23.00,1.05-52.50 and 0.42-21.00 μg/mL(r＞0.999 0),their linear relationships were good.The average recovery was 96.81％-100.28％with the RSD＜2.0％(n=9).17 batches of samples clustered into 3 categories.Solamargine,solasonine,desgalactotigonin and medioresino may be the main potential markers affecting the quality of Solanum nigrum.The results of EW-TOPSIS method showed that,the quality evaluation closeness of 17 batches of Solanum nigrum were 0.433 6,0.416 8,0.624 2,0.500 8,0.479 1,0.636 1,0.568 3,0.250 0,0.190 9,0.222 1,0.170 7,0.720 0,0.698 3,0.744 7,0.717 9,0.720 9 and 0.718 3,respectively,indicating that the overall quality of Solanum nigrum from Liaoning,Jilin and Heilongjiang were better,followed by Jiangsu,Henan and Anhui.Conclusion The established HPLC method for simultaneous determination of 11 components in Solanum nigrum is convenient and accurate.Chemometrics and EW-TOPSIS method are objective and comprehensive,which can be used for the overall quality evaluation of Solanum nigrum.
ABSTRACT
Autoimmune diseases (ADs) arise from an abnormal immune response of the body against substances and tissues normally present in the body. More than a hundred of ADs have been described in the literature so far. Although their etiology remains largely unclear, various types of ADs tend to share more associated genes with other types of ADs than with non-AD types. Here we present GAAD, a gene and AD association database. In GAAD, we collected 44,762 associations between 49 ADs and 4249 genes from public databases and MEDLINE documents. We manually verified the associations to ensure the quality and credibility. We reconstructed and recapitulated the relationships among ADs using their shared genes, which further validated the quality of our data. We also provided a list of significantly co-occurring gene pairs among ADs; with embedded tools, users can query gene co-occurrences and construct customized co-occurrence network with genes of interest. To make GAAD more straightforward to experimental biologists and medical scientists, we extracted additional information describing the associations through text mining, including the putative diagnostic value of the associations, type and position of gene polymorphisms, expression changes of implicated genes, as well as the phenotypical consequences, and grouped the associations accordingly. GAAD is freely available at http://gaad.medgenius.info.
Subject(s)
Humans , Autoimmune Diseases , Genetics , Data Mining , Databases, Factual , Gene Regulatory Networks , Genetic Association StudiesABSTRACT
Objective To explore the changes of the level of serum HCY in patients with unstable angina pectoris(UAP). Methods A total of 44 UAP patients were selected in our hospital, 53 patients with AMI and 50 healthy people were selected as control group. 2 mL vein blood was collected and the serum level of HCY was measured. Diagnostic accuracies of HCY was evaluated by receiver operating characteristic (ROC)curve analysis. Results The level of HCY [(16.33±2.06)μmol/L] in UAP group was higher than HCY [(10.43±2.32)μmol/L] in the healthy control group, lower than AMI group [(18.52±3.29)μmol/L], and the differences were statistically significant(P<0.05).Using a cut-off value of 12.26 μmol/L,HCY had the sensitivity of 72.1%,specificity of 76.0%. Conclusion The sensitivity and specificity of HCY on the early diagnosis of UAP was well, which could be a useful predictor for UAP and is worthy of clinical appli-cation.