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  • Hindawi Limited  (5)
  • 1
    Online Resource
    Online Resource
    An Herbal Galactagogue Mixture Increases Milk Production and Aquaporin Protein Expression in the Mammary Glands of Lactating Rats
    Hindawi Limited ; 2015
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2015 ( 2015), p. 1-6
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2015 ( 2015), p. 1-6
    Abstract: Background . Herbal galactagogues have been increasingly used to treat postpartum hypogalactia. The mechanism of action of herbal galactagogues remains unclear. The purpose of this study was to investigate the effect of an herbal galactagogue mixture on milk production and aquaporin (AQP) expression in lactating rats. Methods . Thirty female Sprague Dawley rats were randomized into virgin, lactating + H 2 O, and lactating + galactagogue groups ( n = 10 per group). Lactating rats were administered the decoction of an herbal galactagogue mixture by oral gavage or the same amount of distilled water. Results . The herbal decoction significantly increased milk production in lactating rats ( P 〈 0.05 ) . Both immunohistochemical staining and western blot showed that protein levels of AQP-3 and AQP-5 were significantly increased during lactation compared with virgin stage and the herbal decoction further elevated their expression ( P 〈 0.05 ) . AQP-1 was predominantly expressed in the capillaries whereas AQP-3 and AQP-5 were mainly detected in the epithelial cells and ducts of the mammary glands. Conclusion . The expression of AQPs in the mammary glands of rats was developmentally regulated. Herbal galactagogues might have increased milk secretion by regulating the expression and function of AQPs in the mammary glands.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2015/760585
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2148302-4
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  • 2
    Online Resource
    Online Resource
    A Five-Genes-Based Prognostic Signature for Cervical Cancer Overall Survival Prediction
    Hindawi Limited ; 2020
    In:  International Journal of Genomics Vol. 2020 ( 2020-03-26), p. 1-13
    Details
    In: International Journal of Genomics, Hindawi Limited, Vol. 2020 ( 2020-03-26), p. 1-13
    Abstract: Aims . This study is aimed at identifying a prognostic signature for cervical cancer. Main Methods . The gene expression data and clinical information of cervical cancer and normal cervical tissues were acquired from The Cancer Genome Atlas and from three datasets of the Gene Expression Omnibus database. DESeq2 and Limma were employed to screen differentially expressed genes (DEGs). The overlapping DEGs among all datasets were considered the final DEGs. Then, the functional enrichment analysis was performed. Moreover, the Cox proportional hazards regression was performed to establish a prognostic signature of the DEGs. The Kaplan-Meier analysis was applied to test the model. Relationships between gene expression and clinicopathological parameters in cervical cancer, including age, HPV status, histology, stage, and lymph node metastasis, were analysed by the chi-square test. The somatic mutations of these prognostic genes were assessed through cBioPortal. The robustness of the model was verified in another two independent validation cohorts. Key Findings . In total, 169 overlapping upregulated genes and 29 overlapping downregulated genes were identified in cervical cancer compared with normal cervical tissues. Functional enrichment analysis indicated that the DEGs were mainly enriched in DNA replication, the cell cycle, and the p53 signalling pathway. Finally, a 5-gene- (ITM2A, DSG2, SPP1, EFNA1, and MMP1) based prognostic signature was built. According to this model, each patient was given a prognostic-related risk value. The Kaplan-Meier analysis showed that a higher risk was related to worse overall survival in cervical cancer, with an area under the receiver operating characteristic curve of 0.811 for 15 years. The validity of this model in the prediction of cervical cancer outcome was verified in another two independent datasets. In addition, our study also found that the low expression of ITM2A was associated with cervical adenocarcinoma. Interestingly, DSG2 was associated with the HPV status of cervical cancer. Significance . Our study constructed a prognostic model in cervical cancer and discovered two novel genes, ITM2A and DSG2, associated with cervical carcinogenesis and survival.
    Type of Medium: Online Resource
    ISSN: 2314-436X , 2314-4378
    URL: Article
    DOI: 10.1155/2020/8347639
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2711883-6
    SSG: 12
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  • 3
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    Online Resource
    The Effects of Guizhi Fuling Capsule Drug Serum on Uterine Leiomyoma Cells and Its Mechanism
    Hindawi Limited ; 2016
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2016 ( 2016), p. 1-9
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2016 ( 2016), p. 1-9
    Abstract: Aims. To observe the effects of Guizhi Fuling Capsule (GZFLC) drug serum on uterine leiomyoma cells and explore its mechanism. Main Methods . Sixty Sprague Dawley rats were randomly divided into two groups (normal saline lavage group and GZFLC lavage group), then, respectively, blank serum and GZFLC drug serum were collected, and finally human uterine leiomyoma cells were treated. Human leiomyoma tissues were collected from 20 patients who underwent uterine leiomyomas operations, and leiomyoma cells were primary cultured. The leiomyoma cells were treated by GZFLC drug serum in different concentrations (10%, 20%, and 30%) and variable treatment time (12 h, 24 h, 36 h, 48 h, and 72 h). Cell proliferation was observed using CCK8 assay. Flow cytometry and Annexin V/PI were used to assay the effects of GZFLC drug serum on cell apoptosis. Western blot analysis was used to assay the effects of GZFLC drug serum on TSC2, FOXO, and 14-3-3 γ expression in uterine leiomyoma cells. Key Findings . In the concentrations of 10% ～ 30%, GZFLC drug serum could inhibit proliferation of leiomyoma cells in dose-dependent manner; at the time of 36 h, cell inhibition rate was at the peak; GZFLC drug serum could induce apoptosis of leiomyoma also in a dose-dependent manner, and apoptosis rate quickly achieved maximum at 12 h time points, and then second apoptosis peak appeared at 36 h. Compared to nontreatment group, TSC2, FOXO, and 14-3-3 γ expressions in drug serum group were significantly changed after 12 h treatment. Significance . GZFLC drug serum can efficiently inhibit the proliferation and induce apoptosis of leiomyoma cells, which is related to the 14-3-3 γ pathway.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2016/2393640
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2148302-4
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  • 4
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    Online Resource
    Edge Computing Server Placement Strategy Based on SPEA2 in Power Internet of Things
    Hindawi Limited ; 2022
    In:  Security and Communication Networks Vol. 2022 ( 2022-8-24), p. 1-11
    Details
    In: Security and Communication Networks, Hindawi Limited, Vol. 2022 ( 2022-8-24), p. 1-11
    Abstract: In order to meet the edge services placement demand for multiobjective optimization of Power Internet of Things, an edge services placement strategy based on an improved strength Pareto evolutionary algorithm (SPEA2) is proposed in this paper. Firstly, we model the delay, resource utilization, and energy consumption. Then, a multiobjective optimization is proposed. Finally, an enhanced genetic algorithm is used to derive the decision candidate set. Moreover, the optimal solution in the candidate set is selected to be utilized in the iteration of the multicriteria decision and the superior-inferior solution distance method. Numerical results and analysis show that the proposed strategy is more effective in reducing system delay, improving resource utilization, and saving energy consumption than the other two benchmark algorithms.
    Type of Medium: Online Resource
    ISSN: 1939-0122 , 1939-0114
    URL: Article
    DOI: 10.1155/2022/3810670
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2415104-X
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  • 5
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    Online Resource
    Prognostic Values of Transforming Growth Factor-Beta Subtypes in Ovarian Cancer
    Hindawi Limited ; 2020
    In:  BioMed Research International Vol. 2020 ( 2020-04-13), p. 1-12
    Details
    In: BioMed Research International, Hindawi Limited, Vol. 2020 ( 2020-04-13), p. 1-12
    Abstract: Purpose . To explore the potential role of the transforming growth factor-beta (TGF- β ) subtypes in the prognosis of ovarian cancer patients. Materials and Methods . The prognostic roles of individual TGF- β subtypes in women with ovarian cancer were retrieved from the Kaplan-Meier plotter (KM plotter) database. In addition, the Oncomine database and immunohistochemistry were used to observe the mRNA and protein expression of TGF- β subtypes between human ovarian carcinoma and normal ovarian samples, respectively. Results . TGF- β 1 and TGF- β 4 were totally uncorrelated with survival outcomes in women with ovarian cancer. Increased TGF- β 2 and TGF- β 3 mRNA expression was markedly related to unfavorable prognosis, especially in women with serous, poorly differentiated, and late-stage ovarian carcinoma. High expression levels of TGF- β 2 were related to worse progression-free survival (PFS) while TGF- β 3 was linked to unfavorable overall survival (OS) and PFS in women with TP53-mutated ovarian cancer. TGF- β 2 was associated with poor OS and PFS from treatment with chemotherapy with platins, Taxol, or a platin+Taxol. However, overexpression of TGF- β 3 was associated with poor OS from the use of platins and poor PFS of Taxol or a platin+Taxol in women with ovarian carcinoma. Furthermore, the expression of TGF- β 2 mRNA and protein was higher but only TGF- β 3 mRNA expression was higher in cancerous tissues than in normal ovarian samples. Conclusion . Higher expression of TGF- β 2 functioned as a significant predictor of poor prognosis in women with ovarian cancer, especially those with TP53 mutations or who were undergoing chemotherapy with platins, Taxol, or a platin+Taxol.
    Type of Medium: Online Resource
    ISSN: 2314-6133 , 2314-6141
    URL: Article
    DOI: 10.1155/2020/2170606
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2698540-8
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