RESUMO
Objective:To investigate the effects of ursolic acid (UA) on proliferation, migration and iron death of ectopic endometrial stromal cells (EESCs) and its mechanism.Methods:Mouse model of endometriosis was established and the primary EESCs were isolated. The cells were treated with UA at different concentrations (0, 2.5, 5, 10, 20, 40, 50, 80, 100, 200 μmol/L). The cells were divided into Control group (normal culture), 2.5 μmol/L UA group (2.5 μmol/L UA treatment), 5.0 μmol/L UA group (5.0 μmol/L UA treatment), 10.0 μmol/L UA group (10 μmol/L UA treatment), and UA+DUSP19 group (10 μmol/L UA+50 μmol/L JAK2/STAT3 signal pathway activator DUSP19 treatment). Cell survival rate was detected by CCK-8 method. Cell proliferation was detected by plate cloning method. Transwell chamber assay was used to detect cell migration. The levels of Fe 2+ and the contents of malondialdehyde (MDA), reactive oxygen species (ROS) and superoxide dismutase (SOD) were detected by kit. Protein expression levels of Ki67, PCNA, CyclinD1, p-JAK2, p-STAT3, JAK2 and STAT3 were detected by western blot. Results:The number of clones in Control, 2.5 μmol/L UA, 5.0 μmol/L UA and 10.0 μmol/L UA groups were as follows: 152.22±15.47, 121.22±11.54, 92.00±5.54, 66.44±6.88; Ki67 protein expression was 1.08±0.10, 0.73±0.07, 0.61±0.06, 0.45±0.02, respectively; The expression of PCNA protein was 0.85±0.07, 0.64±0.05, 0.41±0.03, 0.31±0.05, respectively; CyclinD1 protein expression levels were 0.98±0.11, 0.65±0.06, 0.51±0.05, 0.42±0.07, respectively. The migration numbers were 92.78±6.27, 62.22±2.20, 50.22±4.59 and 39.11±4.33, respectively; Fe 2+ levels were (1.06±0.07) μmol/g, (1.21±0.11) μmol/g, (1.33±0.08) μmol/g, (1.47±0.09) μmol/g, respectively; MDA content was (0.48±0.06) μmol/g, (0.65±0.07) μmol/g, (0.85±0.08) μmol/g, (1.03±0.11) μmol/g, respectively; ROS contents were (19.85±1.21) %, (24.83±2.79) %, (29.04±1.86) %, (33.87±2.45) %, respectively; SOD content were (36.41±3.56) U/mg, (31.03±2.81) U/mg, (25.63±2.84) U/mg, (19.62±1.67) U/mg, respectively; p-JAK2 protein expression was 0.85±0.10, 0.75±0.06, 0.53±0.05, 0.31±0.03, respectively; p-STAT3 protein expression was 1.08±0.11, 0.79±0.06, 0.63±0.07, 0.42±0.03, respectively. The p-JAK2 protein content in UA group and UA+DUSP19 group was 0.38±0.05 and 0.75±0.08, respectively; p-STAT3 protein expression was 0.46±0.04 and 0.80±0.03, respectively; The cell survival rates were (52.55±2.44) % and (82.18±4.72) %, respectively; Fe 2+ levels were (1.57±0.06) μmol/g and (1.21±0.13) μmol/g, respectively. The differences in the above indicators between the Control group and the 2.5 μmol/L UA group, 5.0 μmol/L UA group and 10.0 μmol/L UA group were statistically significant ( P<0.05). There were statistically significant differences among 2.5 μmol/L UA group, 5.0 μmol/L UA group and 10.0 μmol/L UA group ( P<0.05). There were statistically significant differences in p-JAK2, p-STAT3, cell survival rate and Fe 2+ levels between UA group and UA+DUSP19 group ( P<0.05) . Conclusion:Ursolic acid can inhibit the proliferation and migration of EESCs cells and induce iron death by regulating JAK2/STAT3 signaling pathway, thus playing a protective role in endometriosis.
RESUMO
Objective:To investigate the effect of single nucleotide variation of osteoprotegerin (OPG) gene on the occurrence of osteoporosis (OP) in patients with gestational diabetes mellitus (GDM) .Methods:From Apr. 2018 to Apr. 2022, 276 pregnant women with GDM who underwent prenatal examination and gave birth in Linyi People’s Hospital were collected for analysis, general data were collected and bone mineral density was tested. According to the bone mineral density test results, they were divided into normal group and OP group. The OPG genotype was tested, and the general information, OPG genotype and allele frequency of the two groups were compared. The differences in bone mineral density among different genotypes of OPG were compared, and the genotypes affecting the risk of OP in GDM patients were analyzed.Results:There was no significant difference in the general data of the two groups of patients (all P>0.05). The allelic distribution of the rs3134069 and rs2073618 loci of the OPG gene in the two groups of patients conformed to the Hardy-Weinberg equilibrium law (all P>0.05). There was a statistically significant difference in the frequency of the AC genotype at rs3134069 between the two groups ( χ2=7.75, P=0.005). Taking patients with the AA genotype as a reference, patients with the AC genotype had a lower risk of developing OP ( OR=0.15, 95% CI: 0.03-0.59). There was a statistically significant difference in the frequency of CC genotype at rs2073618 between the two groups ( χ2=11.30, P=0.001). Taking patients with GG genotype as a reference, patients with CC genotype had a higher risk of developing OP ( OR=7.42, 95% CI: 2.19-27.18). Comparing rs3134069 and rs2073618 loci, there was no significant difference in bone mineral density at each part of the three genotypes (all P>0.05). The multivariate Logistic regression model showed that the AC genotype of rs3134069 ( OR=0.18, 95% CI: 0.03-0.70, P=0.029) was a protective factor for the induction of OP, while GC genotype of rs2073618 ( OR=6.86, 95% CI: 1.57-27.15, P=0.007) were the risk factors for OP in GDM patients. Conclusion:The CC genotype of rs2073618 is significantly positively correlated with the susceptibility to OP in GDM patients.