[In vivo anti-tumor effect and in vitro anti-angiogenic effect of alcohol extract from Euphorbia prostrata].

The study was designed to investigate the anti-tumor and anti-angiogenic effects of alcohol extract from Euphorbia prostrata. The alcohol extract of E. prostrata was prepared, and the tolerated dosage was determined in mice by the test for acute toxicity. Then, MTT method was used to study the anti-proliferation effect of E. prostrata on normal cells and tumor cells. The rat aortic endothelial cells(RAECs) were primarily cultured. Subsequently, in vitro cell proliferation, migration and tubule formation assays were performed to detect the effect of alcohol extract of E. prostrata on proliferation, migration and angiogenesis. Western blot analysis was performed to detect the protein expressions of Akt, p-Akt, eNOS, p-eNOS, TGF-ß1 and Smad3 in RAECs treated with E. prostrata. In addition, an in vivo transplanted hepatocellular carcinoma model in nude mice was established to detect nude mass, tumor volume and tumor weight. The contents of vascular endothelial growth factor(VEGF) and the platelet-derived growth factor-BB(PDGF-BB) in blood serum were detected by using ELISA kits. HE staining was performed to study the morphology of tumor tissues. The tolerated dosage of alcohol extract of E. prostrata in mice was 94.29 g•kg⁻¹. Alcohol extract of E. prostrata showed no inhibitory effect on L6 cells, but significantly inhibited the proliferations of HepG-2, PC12, A549, and Hela cells with the following order： HepG-2>Hela>PC12>A549. Meanwhile, alcohol extract of E. prostrata markedly inhibited the proliferation, migration and tube formation of RAECs, and enhanced the expressions of phosphorylated Akt and eNOS and increased the expressions of TGF-ß1 and Smad3. In addition, E. prostrata notably inhibited the tumor growth in mice, and decreased the amount of VEGF, but increased the amount of PDGF-BB factor in serum of nude mice. The alcohol extract of E. prostrata may show an inhibitory effect on tumor growth and angiogenesis, which may contribute to its anti-tumor effect.

Robust joint analysis with data fusion in two-stage quantitative trait genome-wide association studies.

Genome-wide association studies (GWASs) in identifying the disease-associated genetic variants have been proved to be a great pioneering work. Two-stage design and analysis are often adopted in GWASs. Considering the genetic model uncertainty, many robust procedures have been proposed and applied in GWASs. However, the existing approaches mostly focused on binary traits, and few work has been done on continuous (quantitative) traits, since the statistical significance of these robust tests is difficult to calculate. In this paper, we develop a powerful F-statistic-based robust joint analysis method for quantitative traits using the combined raw data from both stages in the framework of two-staged GWASs. Explicit expressions are obtained to calculate the statistical significance and power. We show using simulations that the proposed method is substantially more robust than the F-test based on the additive model when the underlying genetic model is unknown. An example for rheumatic arthritis (RA) is used for illustration.

[Study on relationships between seven microsatellite loci and somatic cell score in Beijing Holstein cows].

Genetic variation of seven microsatellite loci BM1818, BM1258, BM1443, BM1905, BM302, BM4505 and CYP21 which were closely linked to somatic cell score (SCS) was analyzed in 240 Beijing Holstein cows with nondenaturing polyacrylamide gel electrophoresis. Allele frequencies, heterozygosity, polymorphic information content, the effective number of alleles of seven microsatellite loci were calculated. Relationships between seven microsatellite loci and somatic cell score in Beijing Holstein cows were primarily analyzed by least squares linear model. Least squares means of SCS for BM1818 (284 bp/284 bp), BM1258 (106 bp/92 bp), BM1443 (166 bp/160 bp), BM1905 (187 bp/187 bp), BM302 (142 bp/140 bp), BM4505 (240 bp/236 bp) and CYP21 (215 bp/198 bp) were relatively lower,and their genotypes were the most favorable genotypes in respective locus for mastitis resistance. Least squares means of SCS for BM1818 (286 bp/286 bp), BM1258 (102 bp/102 bp), BM1443 (170 bp/160 bp), BM1905 (197 bp/195 bp), BM302 (154 bp/145 bp), BM4505 (240 bp/238 bp) and CYP21 (204 bp/192 bp) were relatively higher,and their genotypes were the most unfavorable genotypes in respective locus for mastitis resistance. The information found in the present study would be very important for improving mastitis resistance in dairy cattle by marker assisted selection.

Association of genetic polymorphism in GH gene with milk production traits in Beijing Holstein cows.

Associations were analysed between polymorphisms of the growth hormone gene (GH-MspI) (localized in intron 3) and milk production traits of Beijing Holstein cows (a total of 543 cows). Polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method was used for identification of various genotypes. Frequencies of genotypes were 0.77, 0.21 and 0.02 for A/A, A/B and B/B, respectively. The frequency of the GH A allele is 0.875. The results of the least squares means show that in all three lactations, the GH A/A cows yielded more milk (P less than 0.01 for lactation I and P less than 0.05 for lactations II and III), whereas A/B cows showed higher milk fat content than A/A individuals (P less than 0.05 for lactations I and II, and P less than 0.01 for lactation III). The A/A cows yielded more fat than A/B individuals (P less than 0.01 only in lactation I). The A/A cows yielded more milk protein than A/B individuals (P less than 0.01 for lactations I, II, and III). The A/A cows produced milk of higher protein content than of A/B individuals (P less than 0.05 only in lactation II).