Oestrogen is essential for maintaining bone mass, and it has been demonstrated to induce osteoblast proliferation and bone formation.In this study, complementary DNA（cDNA） microarrays were used to identify and study...Oestrogen is essential for maintaining bone mass, and it has been demonstrated to induce osteoblast proliferation and bone formation.In this study, complementary DNA（cDNA） microarrays were used to identify and study the expression of novel genes that may be involved in MC3T3-E1 cells’ response to 17-b estradiol. MC3T3-E1 cells were inoculated in minimum essential media alpha（a-MEM）cell culture supplemented with 17-b estradiol at different concentrations and for different time periods. MC3T3-E1 cells treated with1028mol？L2117-b estradiol for 5 days exhibited the highest proliferation and alkaline phosphatase（ALP） activity; thus, this group was chosen for microarray analysis. The harvested RNA was used for microarray hybridisation and subsequent real-time reverse transcription polymerase chain reaction（RT-PCR） to validate the expression levels for selected genes. The microarray results were analysed using both functional and pathway analysis. In this study, microarray analysis detected 5 403 differentially expressed genes,of which 1 996 genes were upregulated and 3 407 genes were downregulated, 1 553 different functional classifications were identified by gene ontology（GO） analysis and 53 different pathways were involved based on pathway analysis. Among the differentially expressed genes, a portion not previously reported to be associated with the osteoblast response to oestrogen was identified. These findings clearly demonstrate that the expression of genes related to osteoblast proliferation, cell differentiation, collagens and transforming growth factor beta（TGF-b）-related cytokines increases, while the expression of genes related to apoptosis and osteoclast differentiation decreases, following the exposure of MC3T3-E1 cells to a-MEM supplemented with 17-b estradiol. Microarray analysis with functional gene classification is critical for a complete understanding of complementary intracellular processes. This microarray analysis provides large-scale gene expression data that require further confirmatory studies.展开更多
Objective:To determine the correlation of different serum estradiol levels on the trigger day with the clinical and laboratory outcomes of in-vitro fertilization(IVF)cycles comprising a single fresh top-quality blasto...Objective:To determine the correlation of different serum estradiol levels on the trigger day with the clinical and laboratory outcomes of in-vitro fertilization(IVF)cycles comprising a single fresh top-quality blastocyst transfer.Methods:This was a retrospective observational study performed in Morula IVF Clinic Jakarta.Five hundred forty-two women were recruited and grouped according to their serum estradiol levels on the trigger day of follicular maturation as follows:<2000 pg/mL,2000-2999 pg/mL,3000-3999 pg/mL,and≥4000 pg/mL.Clinical pregnancy and miscarriage rates were evaluated as the primary outcomes and embryology laboratory results as the secondary outcomes which consisted of the number of retrieved,mature,and fertilized oocytes,the total sum of derived embryos,and top-quality embryos at cleavage and blastocyst stage.Results:Clinical pregnancy and miscarriage rates did not differ among the groups(P>0.05).Nonetheless,the study demonstrated a positive correlation of the serum estradiol levels with the overall laboratory outcomes including the number of retrieved,mature,and fertilized oocytes,the total sum of derived embryos,and top-quality embryos at cleavage and blastocyst stage(P<0.001).The subject group with estradiol level of≥4000 pg/mL was superior to the other groups in its respective median number of retrieved,mature,fertilized oocytes,total derived embryos,and top-quality cleavage-and blastocyst-stage embryos.Conclusions:Although an apparent positive correlation is observed between estradiol levels and laboratory outcomes,serum estradiol level on hCG trigger day is not associated with the clinical outcomes of IVF.展开更多
17-β-estradiol (estrogen) is a steroid hormone important to human development;however, high levels of this molecule are associated with increased risk of breast cancer primarily due to estrogen’s ability to bind and...17-β-estradiol (estrogen) is a steroid hormone important to human development;however, high levels of this molecule are associated with increased risk of breast cancer primarily due to estrogen’s ability to bind and activate the estrogen receptor (ER) and initiate gene transcription. Currently, estrogen mechanisms of action are classified as genomic and non-genomic and occur in an ER-dependent and ER-independent manner. In this study, we examine estrogen signaling pathways, by measuring changes in protein expression as a function of time of exposure to estrogen in both ER-positive (MCF-7) and ER-negative (MDA-MB-231) cell lines. Using a robust experimental design utilizing isotopic labeling, two-dimensional LC-MS, and bioinformatics analysis, we report genomic and non-genomic ER regulated estrogen responsive proteins. We find a little over 200 proteins differentially expressed after estrogen treatment. Cell proliferation, transcription, actin filament capping and cell to cell signaling are significantly enriched in the MCF-7 cell line alone. Translational elongation and proteolysis are enriched in both cell lines. Subsets of the proteins presented in this study are for the first time directly associated with estrogen signaling in mammary carcinoma cells. We find that estrogen affected the expression of proteins involved in numerous processes that are related to tumorigenesis such as increased cellular division and invasion in an ER-dependent manner. Moreover, we identified negative regulation of apoptosis as a non-genomic process of estrogen. This study complements gene expression studies and highlights the need for both genomic and proteomic analyses in unraveling the complex mechanisms by which estrogen affects progression of breast cancer.展开更多
A highly-controllable core-shell silica-MIPs absorbent by anchoring a MIPs layer to the surface of SiO2 nanoparticles via a surface molecular imprinting process was prepared. The templates were covalently modified wit...A highly-controllable core-shell silica-MIPs absorbent by anchoring a MIPs layer to the surface of SiO2 nanoparticles via a surface molecular imprinting process was prepared. The templates were covalently modified with functional monomers to form precursor EstSi. The latter together with coupling reagent KH-570, were grafted onto the surface of SiO2 nanoparticles before polymerization, to ensure the quantity and quality of imprinted sites on the surface of the covalently attached matrix. The as-synthesized core-shell nanomaterials (SiO2@MIP2) were then evaluated for selective adsorption of 17β-estradiol (E2) with Raman spectra as detection method. The results indicate that SiO2@MIP2 can fast and selectively adsorb E2 from structural analogues, with detection limit of 0.01 μmol/l.展开更多
It was supposed that lung and breast cancer risks significantly increased when the levels of serum immunoglobulins A antibodies against benzo[a]pyrene and estradiol increased together, but did not separately. However,...It was supposed that lung and breast cancer risks significantly increased when the levels of serum immunoglobulins A antibodies against benzo[a]pyrene and estradiol increased together, but did not separately. However, the cancer risks dramatically decreased when the levels of immunoglobulins A against progesterone elevated separately or together with immunoglobulins A against benzo[a]pyrene and estradiol. So, immunoglobulins A against benzo[a]pyrene and immunoglobulins A against estradiol acted as co-initiator and co-promoter in developing cancer scenario, but immunoglobulins A against progesterone acted along or conjointly with immunoglobulins A against benzo[a]pyrene and estradiol as strongly inhibitor in human carcinogenesis. Also it was suggested the precise mechanism of carcinogenesis modulation using anti-idiotypic antibodies against estradiol and progesterone through their membrane steroid receptors.展开更多
BACKGROUND Previous studies investigating the association between loss of estrogen at menopause and skeletal muscle mass came to contradictory conclusions.AIM To evaluate the association between serum estradiol level ...BACKGROUND Previous studies investigating the association between loss of estrogen at menopause and skeletal muscle mass came to contradictory conclusions.AIM To evaluate the association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women using population-based data.METHODS This study included 673 postmenopausal women,aged 40-59 years,from the National Health and Nutrition Examination Survey between 2013 and 2016.Weighted multivariable linear regression models were used to evaluate the association between serum E2 Level and appendicular lean mass index(ALMI).When non-linear associations were found by using weighted generalized additive model and smooth curve fitting,two-piecewise linear regression models were further applied to examine the threshold effects.RESULTS There was a positive association between serum E2 level and ALMI.Compared to individuals in quartile 1 group,those in other quartiles had higher ALMI levels.An inverted U-shaped curve relationship between serum E2 Level and ALMI was found on performing weighted generalized additive model and smooth curve fitting,and the inflection point was identified as a serum E2 level of 85 pg/mL.CONCLUSION Our results demonstrated an inverted U-shaped curve relationship between serum E2 levels and ALMI in middle-aged postmenopausal women,suggesting that low serum E2 levels play an important in the loss of muscle mass in middleaged postmenopausal women.展开更多
Based on the collected multiwavelength data, namely in the radio(NVSS, FIRST, RATAN-600), IR(WISE),optical(Pan-STARRS), UV(GALEX), and X-ray(ROSAT, Swift-XRT) ranges, we have performed a cluster analysis for the blaza...Based on the collected multiwavelength data, namely in the radio(NVSS, FIRST, RATAN-600), IR(WISE),optical(Pan-STARRS), UV(GALEX), and X-ray(ROSAT, Swift-XRT) ranges, we have performed a cluster analysis for the blazars of the Roma-BZCAT catalog. Using two machine learning methods, namely a combination of PCA with k-means clustering and Kohonen's self-organizing maps(SOMs), we have constructed an independent classification of the blazars(five classes) and compared the classes with the known Roma-BZCAT classification(FSRQs, BL Lacs, galaxy-dominated BL Lacs, and blazars of an uncertain type) as well as with the high synchrotron peaked(HSP) blazars from the 3HSP catalog and blazars from the TeVCat catalog. The obtained groups demonstrate concordance with the BL Lac/FSRQ classification along with a continuous character of the change in the properties. The group of HSP blazars stands out against the overall distribution. We examine the characteristics of the five groups and demonstrate distinctions in their spectral energy distribution shapes. The effectiveness of the clustering technique for objective analysis of multiparametric arrays of experimental data is demonstrated.展开更多
基金supported by grants from the Natural Science Fund (ZR2010HM035) of Shandong Provincethe Shandong Provincial Health Development Project Fund (2011WSB19002) in China
文摘Oestrogen is essential for maintaining bone mass, and it has been demonstrated to induce osteoblast proliferation and bone formation.In this study, complementary DNA（cDNA） microarrays were used to identify and study the expression of novel genes that may be involved in MC3T3-E1 cells’ response to 17-b estradiol. MC3T3-E1 cells were inoculated in minimum essential media alpha（a-MEM）cell culture supplemented with 17-b estradiol at different concentrations and for different time periods. MC3T3-E1 cells treated with1028mol？L2117-b estradiol for 5 days exhibited the highest proliferation and alkaline phosphatase（ALP） activity; thus, this group was chosen for microarray analysis. The harvested RNA was used for microarray hybridisation and subsequent real-time reverse transcription polymerase chain reaction（RT-PCR） to validate the expression levels for selected genes. The microarray results were analysed using both functional and pathway analysis. In this study, microarray analysis detected 5 403 differentially expressed genes,of which 1 996 genes were upregulated and 3 407 genes were downregulated, 1 553 different functional classifications were identified by gene ontology（GO） analysis and 53 different pathways were involved based on pathway analysis. Among the differentially expressed genes, a portion not previously reported to be associated with the osteoblast response to oestrogen was identified. These findings clearly demonstrate that the expression of genes related to osteoblast proliferation, cell differentiation, collagens and transforming growth factor beta（TGF-b）-related cytokines increases, while the expression of genes related to apoptosis and osteoclast differentiation decreases, following the exposure of MC3T3-E1 cells to a-MEM supplemented with 17-b estradiol. Microarray analysis with functional gene classification is critical for a complete understanding of complementary intracellular processes. This microarray analysis provides large-scale gene expression data that require further confirmatory studies.
文摘Objective:To determine the correlation of different serum estradiol levels on the trigger day with the clinical and laboratory outcomes of in-vitro fertilization(IVF)cycles comprising a single fresh top-quality blastocyst transfer.Methods:This was a retrospective observational study performed in Morula IVF Clinic Jakarta.Five hundred forty-two women were recruited and grouped according to their serum estradiol levels on the trigger day of follicular maturation as follows:<2000 pg/mL,2000-2999 pg/mL,3000-3999 pg/mL,and≥4000 pg/mL.Clinical pregnancy and miscarriage rates were evaluated as the primary outcomes and embryology laboratory results as the secondary outcomes which consisted of the number of retrieved,mature,and fertilized oocytes,the total sum of derived embryos,and top-quality embryos at cleavage and blastocyst stage.Results:Clinical pregnancy and miscarriage rates did not differ among the groups(P>0.05).Nonetheless,the study demonstrated a positive correlation of the serum estradiol levels with the overall laboratory outcomes including the number of retrieved,mature,and fertilized oocytes,the total sum of derived embryos,and top-quality embryos at cleavage and blastocyst stage(P<0.001).The subject group with estradiol level of≥4000 pg/mL was superior to the other groups in its respective median number of retrieved,mature,fertilized oocytes,total derived embryos,and top-quality cleavage-and blastocyst-stage embryos.Conclusions:Although an apparent positive correlation is observed between estradiol levels and laboratory outcomes,serum estradiol level on hCG trigger day is not associated with the clinical outcomes of IVF.
文摘17-β-estradiol (estrogen) is a steroid hormone important to human development;however, high levels of this molecule are associated with increased risk of breast cancer primarily due to estrogen’s ability to bind and activate the estrogen receptor (ER) and initiate gene transcription. Currently, estrogen mechanisms of action are classified as genomic and non-genomic and occur in an ER-dependent and ER-independent manner. In this study, we examine estrogen signaling pathways, by measuring changes in protein expression as a function of time of exposure to estrogen in both ER-positive (MCF-7) and ER-negative (MDA-MB-231) cell lines. Using a robust experimental design utilizing isotopic labeling, two-dimensional LC-MS, and bioinformatics analysis, we report genomic and non-genomic ER regulated estrogen responsive proteins. We find a little over 200 proteins differentially expressed after estrogen treatment. Cell proliferation, transcription, actin filament capping and cell to cell signaling are significantly enriched in the MCF-7 cell line alone. Translational elongation and proteolysis are enriched in both cell lines. Subsets of the proteins presented in this study are for the first time directly associated with estrogen signaling in mammary carcinoma cells. We find that estrogen affected the expression of proteins involved in numerous processes that are related to tumorigenesis such as increased cellular division and invasion in an ER-dependent manner. Moreover, we identified negative regulation of apoptosis as a non-genomic process of estrogen. This study complements gene expression studies and highlights the need for both genomic and proteomic analyses in unraveling the complex mechanisms by which estrogen affects progression of breast cancer.
文摘A highly-controllable core-shell silica-MIPs absorbent by anchoring a MIPs layer to the surface of SiO2 nanoparticles via a surface molecular imprinting process was prepared. The templates were covalently modified with functional monomers to form precursor EstSi. The latter together with coupling reagent KH-570, were grafted onto the surface of SiO2 nanoparticles before polymerization, to ensure the quantity and quality of imprinted sites on the surface of the covalently attached matrix. The as-synthesized core-shell nanomaterials (SiO2@MIP2) were then evaluated for selective adsorption of 17β-estradiol (E2) with Raman spectra as detection method. The results indicate that SiO2@MIP2 can fast and selectively adsorb E2 from structural analogues, with detection limit of 0.01 μmol/l.
文摘It was supposed that lung and breast cancer risks significantly increased when the levels of serum immunoglobulins A antibodies against benzo[a]pyrene and estradiol increased together, but did not separately. However, the cancer risks dramatically decreased when the levels of immunoglobulins A against progesterone elevated separately or together with immunoglobulins A against benzo[a]pyrene and estradiol. So, immunoglobulins A against benzo[a]pyrene and immunoglobulins A against estradiol acted as co-initiator and co-promoter in developing cancer scenario, but immunoglobulins A against progesterone acted along or conjointly with immunoglobulins A against benzo[a]pyrene and estradiol as strongly inhibitor in human carcinogenesis. Also it was suggested the precise mechanism of carcinogenesis modulation using anti-idiotypic antibodies against estradiol and progesterone through their membrane steroid receptors.
基金The Institutional Review Board of the National Center for Health Statistics(NCHS)approved the survey protocols(Protocol#2011-17).
文摘BACKGROUND Previous studies investigating the association between loss of estrogen at menopause and skeletal muscle mass came to contradictory conclusions.AIM To evaluate the association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women using population-based data.METHODS This study included 673 postmenopausal women,aged 40-59 years,from the National Health and Nutrition Examination Survey between 2013 and 2016.Weighted multivariable linear regression models were used to evaluate the association between serum E2 Level and appendicular lean mass index(ALMI).When non-linear associations were found by using weighted generalized additive model and smooth curve fitting,two-piecewise linear regression models were further applied to examine the threshold effects.RESULTS There was a positive association between serum E2 level and ALMI.Compared to individuals in quartile 1 group,those in other quartiles had higher ALMI levels.An inverted U-shaped curve relationship between serum E2 Level and ALMI was found on performing weighted generalized additive model and smooth curve fitting,and the inflection point was identified as a serum E2 level of 85 pg/mL.CONCLUSION Our results demonstrated an inverted U-shaped curve relationship between serum E2 levels and ALMI in middle-aged postmenopausal women,suggesting that low serum E2 levels play an important in the loss of muscle mass in middleaged postmenopausal women.
文摘Based on the collected multiwavelength data, namely in the radio(NVSS, FIRST, RATAN-600), IR(WISE),optical(Pan-STARRS), UV(GALEX), and X-ray(ROSAT, Swift-XRT) ranges, we have performed a cluster analysis for the blazars of the Roma-BZCAT catalog. Using two machine learning methods, namely a combination of PCA with k-means clustering and Kohonen's self-organizing maps(SOMs), we have constructed an independent classification of the blazars(five classes) and compared the classes with the known Roma-BZCAT classification(FSRQs, BL Lacs, galaxy-dominated BL Lacs, and blazars of an uncertain type) as well as with the high synchrotron peaked(HSP) blazars from the 3HSP catalog and blazars from the TeVCat catalog. The obtained groups demonstrate concordance with the BL Lac/FSRQ classification along with a continuous character of the change in the properties. The group of HSP blazars stands out against the overall distribution. We examine the characteristics of the five groups and demonstrate distinctions in their spectral energy distribution shapes. The effectiveness of the clustering technique for objective analysis of multiparametric arrays of experimental data is demonstrated.
