Background： Bovine milk contains not only a variety of nutritional ingredients but also microRNAs （miRNAs） that are thought to be secreted by the bovine mammary epithelial cells （BMECs）. The objective of this stu...Background： Bovine milk contains not only a variety of nutritional ingredients but also microRNAs （miRNAs） that are thought to be secreted by the bovine mammary epithelial cells （BMECs）. The objective of this study was to elucidate the production of milk-related miRNAs in BMECs under the influence of lactogenic hormones. Results： According to a microarray result of milk exosomal miRNAs prior to cellular analyses, a total of 257 miRNAs were detected in a Holstein cow milk. Of these, 18 major miRNAs of interest in the milk were selected for an expression analysis in BMEC culture that was treated with or without dexamethasone, insulin, and prolactin （DIP） to induce a lactogenic differentiation. Quantitative polymerase chain reaction （qPCR） results showed that the expressions of miR-21-Sp （P = 0.005）, miR-26a （P = 0.016）, and miR-320a （P = 0.011） were lower in the DIP-treated cells than in the untreated cells. In contrast, the expression of miR-339a （P-- 0.017） in the cell culture medium were lower in the DiP-treated culture than in the untreated culture. Intriguingly, the miR-148a expression in cell culture medium was elevated by DIP treatment of BMEC culture （P = 0.018）. The medium-to-cell expression ratios of miR- 103 （P = 0.025）, miR-148a （P 〈 0.001）, and miR-223 （P = 0.013） were elevated in the DIP-treated BMECs, suggesting that the lactogenic differentiation-induced secretion of these three miRNAs in BMECs. A bioinformatic analysis showed that the miRNAs down-regulated in the BMECs were associated with the suppression of genes related to transcriptional regulation, protein phosphorylation, and tube development. Conclusion： The results suggest that the miRNAs changed by lactogenic hormones are associated with milk protein synthesis, and mammary gland development and maturation. The elevated miR-148a level in DIP-treated BMECs may be associated with its increase in milk during the lactation period of cows.展开更多
目的探讨晚孕期多普勒超声技术测定多血管血流参数联合胎盘功能标评估胎儿生长受限(FGR)的价值。方法选择FGR孕妇42例作为FGR组,年龄23~35岁,平均年龄28.8岁(标准差3.35岁);孕周28~37+4周,平均孕周32+6.5周(标准差2+4.5周);孕前身体质...目的探讨晚孕期多普勒超声技术测定多血管血流参数联合胎盘功能标评估胎儿生长受限(FGR)的价值。方法选择FGR孕妇42例作为FGR组,年龄23~35岁,平均年龄28.8岁(标准差3.35岁);孕周28~37+4周,平均孕周32+6.5周(标准差2+4.5周);孕前身体质量指数(BMI)18.6~23.8 kg/m^(2),平均BMI 21.5 kg/m^(2)(标准差1.43 kg/m^(2))。产前检查正常孕妇61例作为对照组,年龄23~36岁,平均年龄29.3岁(标准差3.49岁);孕周28^(+2)~38周,平均孕周31^(+4.5)周(标准差3^(+2.7)周);孕前BMI 18.2~23.6 kg/m^(2),平均BMI 21.4 kg/m^(2)(标准差1.39 kg/m^(2))。通过多普勒超声检测各组多血管参数,包括脐动脉(UA)、大脑中动脉(MCA)、子宫动脉(UtA)的搏动指数(PI)、阻力指数(RI)及收缩期最大血流速度与舒张末期血流速度之比(S/D),计算脑-胎盘比(CPR)。定量检测母体血清雌三醇(E3)、胎盘泌乳素(HPL),评估胎盘功能,分析多血管血流参数及母体血指标与FGR的相关性,采用受试者工作特性(ROC)曲线评价不同指标对FGR的诊断预测价值。结果FGR组不良妊娠结局的发生率显著高于对照组(61.9%vs 11.5%。P<0.001)。FGR组UA-PI高于对照组(1.06±0.33 vs 0.94±0.19。P<0.05),而两组UA-S/D及RI比较,差异无统计学意义(P>0.05);FGR组MCA各参数[(PI:1.53±0.33 vs 1.75±0.32;S/D:4.26(3.43~5.24)vs 5.12(4.25~6.72);RI:0.76±0.07 vs 0.81±0.06]、CPR(1.59±0.59 vs 1.91±0.44)及母体血清E3[7.79(4.91~11.30)ng/mL vs 12.00(10.20~13.95)ng/mL]和HPL[(9.00±2.80)mg/L vs(11.91±2.27)mg/L]水平低于对照组,FGR组UtA各参数高于对照组[PI:0.75(0.66~1.07)vs 0.56(0.50~0.67);S/D:2.11(1.80~2.78)vs 1.86(1.70~2.19);RI:0.55±0.12 vs 0.47±0.08。均P<0.05]。多普勒超声检测单一血管参数预测FGR的诊断效能普遍较低(AUC<0.7),多普勒超声检测多血管参数联合母体血指标评估FRG(AUC=0.883),可显著提高诊断效能。结论单一血管的多普勒血流参数预测FGR的准确性较低,联合多血管血流参数与胎盘功能综合评估,可提高预测FGR的准确度,避免不良妊娠结局的发生。展开更多
基金supported by the Japan Society for the Promotion of Science (JSPS KAKENHI 25660220) to S.M.
文摘Background： Bovine milk contains not only a variety of nutritional ingredients but also microRNAs （miRNAs） that are thought to be secreted by the bovine mammary epithelial cells （BMECs）. The objective of this study was to elucidate the production of milk-related miRNAs in BMECs under the influence of lactogenic hormones. Results： According to a microarray result of milk exosomal miRNAs prior to cellular analyses, a total of 257 miRNAs were detected in a Holstein cow milk. Of these, 18 major miRNAs of interest in the milk were selected for an expression analysis in BMEC culture that was treated with or without dexamethasone, insulin, and prolactin （DIP） to induce a lactogenic differentiation. Quantitative polymerase chain reaction （qPCR） results showed that the expressions of miR-21-Sp （P = 0.005）, miR-26a （P = 0.016）, and miR-320a （P = 0.011） were lower in the DIP-treated cells than in the untreated cells. In contrast, the expression of miR-339a （P-- 0.017） in the cell culture medium were lower in the DiP-treated culture than in the untreated culture. Intriguingly, the miR-148a expression in cell culture medium was elevated by DIP treatment of BMEC culture （P = 0.018）. The medium-to-cell expression ratios of miR- 103 （P = 0.025）, miR-148a （P 〈 0.001）, and miR-223 （P = 0.013） were elevated in the DIP-treated BMECs, suggesting that the lactogenic differentiation-induced secretion of these three miRNAs in BMECs. A bioinformatic analysis showed that the miRNAs down-regulated in the BMECs were associated with the suppression of genes related to transcriptional regulation, protein phosphorylation, and tube development. Conclusion： The results suggest that the miRNAs changed by lactogenic hormones are associated with milk protein synthesis, and mammary gland development and maturation. The elevated miR-148a level in DIP-treated BMECs may be associated with its increase in milk during the lactation period of cows.
文摘目的探讨晚孕期多普勒超声技术测定多血管血流参数联合胎盘功能标评估胎儿生长受限(FGR)的价值。方法选择FGR孕妇42例作为FGR组,年龄23~35岁,平均年龄28.8岁(标准差3.35岁);孕周28~37+4周,平均孕周32+6.5周(标准差2+4.5周);孕前身体质量指数(BMI)18.6~23.8 kg/m^(2),平均BMI 21.5 kg/m^(2)(标准差1.43 kg/m^(2))。产前检查正常孕妇61例作为对照组,年龄23~36岁,平均年龄29.3岁(标准差3.49岁);孕周28^(+2)~38周,平均孕周31^(+4.5)周(标准差3^(+2.7)周);孕前BMI 18.2~23.6 kg/m^(2),平均BMI 21.4 kg/m^(2)(标准差1.39 kg/m^(2))。通过多普勒超声检测各组多血管参数,包括脐动脉(UA)、大脑中动脉(MCA)、子宫动脉(UtA)的搏动指数(PI)、阻力指数(RI)及收缩期最大血流速度与舒张末期血流速度之比(S/D),计算脑-胎盘比(CPR)。定量检测母体血清雌三醇(E3)、胎盘泌乳素(HPL),评估胎盘功能,分析多血管血流参数及母体血指标与FGR的相关性,采用受试者工作特性(ROC)曲线评价不同指标对FGR的诊断预测价值。结果FGR组不良妊娠结局的发生率显著高于对照组(61.9%vs 11.5%。P<0.001)。FGR组UA-PI高于对照组(1.06±0.33 vs 0.94±0.19。P<0.05),而两组UA-S/D及RI比较,差异无统计学意义(P>0.05);FGR组MCA各参数[(PI:1.53±0.33 vs 1.75±0.32;S/D:4.26(3.43~5.24)vs 5.12(4.25~6.72);RI:0.76±0.07 vs 0.81±0.06]、CPR(1.59±0.59 vs 1.91±0.44)及母体血清E3[7.79(4.91~11.30)ng/mL vs 12.00(10.20~13.95)ng/mL]和HPL[(9.00±2.80)mg/L vs(11.91±2.27)mg/L]水平低于对照组,FGR组UtA各参数高于对照组[PI:0.75(0.66~1.07)vs 0.56(0.50~0.67);S/D:2.11(1.80~2.78)vs 1.86(1.70~2.19);RI:0.55±0.12 vs 0.47±0.08。均P<0.05]。多普勒超声检测单一血管参数预测FGR的诊断效能普遍较低(AUC<0.7),多普勒超声检测多血管参数联合母体血指标评估FRG(AUC=0.883),可显著提高诊断效能。结论单一血管的多普勒血流参数预测FGR的准确性较低,联合多血管血流参数与胎盘功能综合评估,可提高预测FGR的准确度,避免不良妊娠结局的发生。
