ABSTRACT
Tree shrew is a novel and high-quality experimental animal model. In this study, the real-time polymerase chain reaction methods were established to detect infection-related cytokines interleukin-6 (IL-6), IL-8, IL-10, IL-17A, interferon-γ (IFN-γ) and housekeeping gene glyceraldehyde-phosphate dehydrogenase ( ) of tree shrew. The results indicated that the establised methods had good specificity. The high point of the linear range of these reagents reached 1 × 10 copies, and the low points ranged from 10 copies (IL-6, IL-17A), 100 copies (IL-10, ) to 1 000 copies (IL-8, IFN-γ). In this interval, the linear correlation coefficient of each reagent was greater than 0.99. The lowest detectable values of IL-6, IL-8, IL-10, IL-17A, IFN-γ and were 8, 8, 4, 8, 128 and 4 copies, respectively. The results showed that the established detection methods had good specificity, sensitivity and wide linear range. The methods were suitable for detection of multiple concentration range samples, and could be used for the subsequent studies of tree shrew cytokines.
Subject(s)
Animals , Cytokines , Real-Time Polymerase Chain Reaction , ShrewsABSTRACT
Objective To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors and pulse pressure (PP) as well as the relationships between gene-gene interaction between PPARα/δ/γ genes and PP.Methods A total of 820 subjects,with 550 females and 270 males,were recruited from a cohort study of “Prevention of Metabolic Syndrome and Multi-metabolic Disorders in Jiangsu Province of China Study (PMMJS)”.Ten SNPs of PPARα/δ/γ genes were selected.GMDR software (version 1.0.1) was used to evaluate the gene-gene interactions among PPARs SNPs associated with PP.Results The mean levels of PP in people with mutant genotype of rs1805192 in PPARγ genes (PA+AA) showed a significant increase by 1.341 mmHg (95％CI:0.431-2.252 mmHg) when compared to the persons with wild genotype (PP).In the subgroup of subjects with more than 30 mmHg levels of PP,a six-locus model comprised rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγshowed a highest level of prediction accuracy (0.577) and displayed a better cross-validation consistency (10/10).In the subgroup of subjects with less than 40 mmHg levels of PP,a two-locus model was statistically associated with PP with 0.628 of prediction accuracy and 10/10 of cross-validation consistency.Conclusion PPARγrs1805192 was associated with the occurrence of PP.Gene-gene interactions among rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγ were all significantly related to PP.
ABSTRACT
Objective To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors and pulse pressure (PP) as well as the relationships between gene-gene interaction between PPARα/δ/γ genes and PP.Methods A total of 820 subjects,with 550 females and 270 males,were recruited from a cohort study of “Prevention of Metabolic Syndrome and Multi-metabolic Disorders in Jiangsu Province of China Study (PMMJS)”.Ten SNPs of PPARα/δ/γ genes were selected.GMDR software (version 1.0.1) was used to evaluate the gene-gene interactions among PPARs SNPs associated with PP.Results The mean levels of PP in people with mutant genotype of rs1805192 in PPARγ genes (PA+AA) showed a significant increase by 1.341 mmHg (95％CI:0.431-2.252 mmHg) when compared to the persons with wild genotype (PP).In the subgroup of subjects with more than 30 mmHg levels of PP,a six-locus model comprised rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγshowed a highest level of prediction accuracy (0.577) and displayed a better cross-validation consistency (10/10).In the subgroup of subjects with less than 40 mmHg levels of PP,a two-locus model was statistically associated with PP with 0.628 of prediction accuracy and 10/10 of cross-validation consistency.Conclusion PPARγrs1805192 was associated with the occurrence of PP.Gene-gene interactions among rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγ were all significantly related to PP.