1,735,887 research outputs found
2021 Author Author Invite
No full texthttps://scholarlycommons.baptisthealth.net/author-author-archive-files/1183/thumbnail.jp
Glücksmarke Frida Friederike 1183
No full textGLÜCKSMARKE FRIDA FRIEDERIKE 1183
Glücksmarke Frida Friederike 1183 ( -
Analysis of miR-1183 Expression Level and Its role in Preeclampsia Pathogenesis via the Regulation of Its Target Gene CHURC1
No full textObjective: Preeclampsia (PE) is a multi-systemic disease in pregnancy and a leading cause of maternal and fetal mortality and morbidity worldwide. Elevated expression levels of certain circulating microRNAs (miRs) can be considered potential biomarkers, and have been reported in maternal plasma of pregnant women. We aimed to evaluate the expression profiles of circulating miR-1183 and its putative target mRNA in preeclampsia and their utility for prenatal diagnosis of preeclampsia.
Methods: Plasma samples were obtained from pregnant women between 26 and 32 weeks of gestation. Circulating miR-1183 and its target mRNA expression levels were determined by qRT-PCR in maternal plasma of 31 patients with preeclampsia and 22 normotensive pregnancies patient as control. Bioinformatics tools were used to predict the target gene of miR-1183.
Results: The expression level of circulating miR-1183 was significantly increased in plasma of preeclampsia patients compared to controls (P = .002). The expression level of CHURC1 gene, the target gene of miR-1183, is dramatically decreased in PE cases compared to controls (P < .001). Spearman’s correlation between miR-1183 and CHURC1 expression levels shows an r-value of −0.37, suggesting a moderate inverse relationship between the 2 parameters but it was not statistically significant (P = .08). By Receiver Operating Curve (ROC) analysis, miR-1183 and CHURC1 showed high accuracy in discriminating PE from controls. The area under the curve (AUC) was found in miR-1183 and CHURC1 at 0.79 (95% CI, 0.62-0.91) and 0.96 (95% CI, 0.78-0.99), respectively.
Conclusion: Circulating miR-1183 may be involved in the pathogenesis of preeclampsia via the regulation of its target mRNA, CHURC1
51. Saitō Sanemori (?-1183)
No full textIwao Seiichi, Iyanaga Teizō, Ishii Susumu, Yoshida Shōichirō, Fujimura Jun'ichirō, Fujimura Michio, Yoshikawa Itsuji, Akiyama Terukazu, Iyanaga Shōkichi, Matsubara Hideichi. 51. Saitō Sanemori (?-1183). In: Dictionnaire historique du Japon, volume 17, 1991. Lettres R (2) et S (1) p. 87
51. Saitō Sanemori (?-1183)
No full textIwao Seiichi, Iyanaga Teizō, Ishii Susumu, Yoshida Shōichirō, Fujimura Jun'ichirō, Fujimura Michio, Yoshikawa Itsuji, Akiyama Terukazu, Iyanaga Shōkichi, Matsubara Hideichi. 51. Saitō Sanemori (?-1183). In: Dictionnaire historique du Japon, volume 17, 1991. Lettres R (2) et S (1) p. 87
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
