BackgroundUp to now, numerous case-control studies have reported the associations between fat mass and obesity associated (FTO) gene rs9939609 A/T polymorphism and polycystic ovary syndrome (PCOS), however, without a consistent result. Hence we performed current systematic review and meta-analysis to clarify the controversial results.MethodsCase-control studies reporting the relationship of rs9939609 A/T polymorphism and PCOS published before April 2015 were searched in Pubmed database without language restriction. Data was analyzed by Review Manager 5.2.ResultsA total of five studies involving 5010 PCOS patients and 5300 controls were included for further meta-analysis. The results of meta-analysis showed that the FTO gene rs9939609 A/T polymorphism was significantly different between PCOS group and control group in different gene models (For AA + AT vs. TT: OR = 1.41, 95% CI = 1.28–1.55, P < 0.00001. For AA vs. AT + TT: OR = 1.54, 95% CI = 1.25–1.89, P < 0.0001. For AA vs. TT: OR = 1.74, 95% CI = 1.38–2.18, P < 0.00001. For A vs. T: OR = 1.36, 95% CI = 1.25–1.47, P < 0.00001, respectively) suggesting that A allele was a risk factor for PCOS susceptibility. Furthermore, subgroup analysis in Asian and Caucasian ethnicities also found significant association between rs9939609 A/T polymorphism and PCOS (In Asian subgroup: OR = 1.43, 95% CI = 1.29–1.59, P < 0.0001. In Caucasian subgroup: OR = 1.33, 95% CI = 1.08–1.64, P = 0.008)ConclusionThis meta-analysis suggests that rs9939609 A/T polymorphism of FTO gene is associated with PCOS risk, and that A allele is a risk factor for PCOS susceptibility simultaneously.

We investigated the association between single nucleotide polymorphisms (SNPs) in the fat mass and obesity associated (FTO) gene (rs9926289 A/G, rs79206939 A/G, rs9930506 A/G, rs8050136 A/C, and rs1588413 C/T) and polycystic ovary syndrome (PCOS), as well as outcomes of in vitro fertilization (IVF). A case-control study consisting of 147 PCOS patients and 120 healthy controls was conducted. FTO SNPs were genotyped by PCR to determine allelic frequencies, and IVF outcomes were analyzed. The results showed that FTO rs8050136 (p = .025) and rs1588413 (p = .042) were significantly associated with PCOS susceptibility, and women with risk alleles were often found to be obese (p < .05). For SNP rs8050136, women with AA + AC genotypes had higher body mass indexes (BMIs), oral glucose tolerance test/2 h (OGTT) levels and implantation rates but lower follicle-stimulating hormone (FSH) and human chorionic gonadotropin (hCG) day progesterone levels and ovulation numbers (all p < .05) than those with the CC genotype. For SNP rs1588413, women carrying risk alleles exhibited higher BMIs, implantation rate, and levels of luteinizing hormone (LH), estradiol, and OGTT/2 h (all p < .05) compared with those with non-risk genotypes. Therefore, these findings suggest that rs8050136 and rs1588413 are associated with PCOS susceptibility, and that women with risk alleles have less ovulation numbers but higher implantation rates than those with other genotypes.

Based on the Gurson-Tvergaard-Needleman micromechanical damage model, taking void growth ratioVGas the damage variable established acoustic emission (AE) quantitative evaluation model. Taking steel 20 notched bar specimens tensile process as example, get AE information from yield to fracture process. Using ABAQUS analyzed the meso-damage process during tensile process of the specimens, and get the numerical solution of meso-damage parameters. Based on AE testing and the results of Finite Element Simulation, established the quantitative evaluation formula ofVGand AE cumulative hitsNduring 20 steel notched specimens tensile process. Result shows that, 20 steel from yield to fracture damage, the relationship betweenNandVGis divided into two stage, namely linear damage stage and nonlinear damage stage. When theNreaches 61, the material is at the transition stage from linear damage stage to nonlinear damage stage.