First trimester Doppler velocimetry of the uterine artery ipsilateral to the placenta improves ability to predict early-onset preeclampsia.

This study sought to investigate the effects of placental laterality on the measurements of uterine artery (UtA) Doppler velocimetry and their application in predicting early-onset preeclampsia (PE).We conducted a prospective cohort study on all women with singleton, uncomplicated pregnancies scheduled for first-trimester nuchal translucency at our institution. Pulsatility index (PI) for both UtAs was measured by Doppler velocimetry, and placental laterality was determined. Additionally, pregnancy outcome data were abstracted from the medical records. Receiver operating characteristic curves (ROCs) were plotted.Of the 304 patients enrolled, 247 met the inclusion criteria. Among these patients, 240 had uncomplicated delivery, while 7 had early delivery at <34 weeks due to PE. For the uncomplicated pregnancies, PI measurements of the UtA ipsilateral to the placenta were similar (left versus right UtA: 1.06 ±â€Š0.38 vs. 1.04 ±â€Š0.40; P = .745). However, PI measurements of the UtA contralateral to the placenta differed significantly (left versus right UtA: 1.45 ±â€Š0.51 vs. 1.3 ±â€Š0.47; P = .027). In predicting early-onset PE, the ideal cut-off value for the placental side PI was 1.91, with sensitivity 100% and specificity 96.3%. For nonplacental side PI, the ideal cut-off value for PI was 1.975, with sensitivity 57.1% and specificity 79.2%. Using the mean of the left and right UtA PI, the ideal cut-off value was 1.63, with sensitivity 100% and specificity 74.2%.ROC analysis confirmed that PI measurements of the UtA on the placental side were significantly lower than those on the contralateral side, PI measurements of the UtA ipsilateral to the placenta were similar.

Preparation of novel cisplatin-conjugated hollow gold nanospheres for targeting cervical cancer.

Cervical cancer is a deadly gynecological malignancy in need of innovative treatment strategies. Emerging preclinical data has suggested the benefits of nanocarriers over the traditional chemotherapy for cancer treatment. In particular, gold nanoparticles are gaining popularity due to gold's inert nature, limited side effects, good cytocompatibility, and flexibility in preparation/modification. We conjugated polyethylene glycol (PEG) with hollow gold nanospheres (HGNs) and loaded the pegylated HGNs with an anticancer drug, cisplatin to target cervical cancer. HGNs were irradiated with noninfrared laser to increase the penetration of drug into tumor tissue and improve the delivery of cisplatin. We investigated the comparative characterization studies of prepared cisplatin loaded pegylated HGNs (cis PEG-HGNs), free cisplatin, cisplatin loaded HGNs (cis-HGNs), cis PEG-HGNs without laser, and cis PEG-HGNs with laser and its effects over cervical cancer cells. Transmission electron microscopy photomicrographs confirmed the integrity of prepared HGNs. While no significant difference was observed between encapsulation efficiency and drug loading of cis-HGNs (84.6%) and cis PEG-HGNs (86.7%), the encapsulation efficiency increased almost twice in HGNs, compared with control gold nanoparticles (GNs) because of the hollow cavity in HGNs. In-vitro cytotoxicity was measured by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay using HeLa cells. With irradiation, HGNs induced much elevated cytotoxicity. Not only HGNs were internalized by HeLa cells, they were retained in the cellular compartment. We also tested formulations in vivo and observed that the irradiated cis-HGNs and cis PEG-HGNs were most effective in regressing tumors in mice.

Identification of skin-related lncRNAs as potential biomarkers that involved in Wnt pathways in keloids.

The long non-coding RNAs (lncRNAs) regulating encoding transcripts/genes involved in Wnt signalling pathway in keloids is largely unclear. We used a pathway-focused lncRNA microarray to detect the differentiated expression profiles of both lncRNAs and genes involved in Wnt pathway, thus a total of 116 Wnt-targeted genes and 69 Wnt-related lncRNAs aberrantly expressed in keloids were initially identified. A stepwise bioinformatics was further performed to find skin-related lncRNA/gene pairs in Wnt pathway in keloids. Firstly, an lncRNA/gene co-expression network with clustered functional modules was constructed; simultaneously, 114 Wnt-genes regarding to dermis were online enriched using Phenotype Enrichment. Secondly, 17 skin-related keloid-aberrant Wnt-genes were acquired by overlapping the 114 skin-related Wnt-genes with the 116 keloid-aberrant Wnt-genes. Thirdly, after co-expression coefficient of each lncRNA/gene profile being ranked respectively, 11 top co-expressed lncRNAs characterized with the highest co-expression coefficients to the 17 genes were identified. Fourthly, seven of the 11 top co-expressed lncRNAs exhibiting array-detected aberrant expression in keloids, together with their 12 most interactive Wnt-genes, were selected to undergo in-pair intracellularly quantitative PCR validation in keloids. As a result, four lncRNAs including CACNA1G-AS1, HOXA11-AS, LINC00312 and RP11-91I11.1 with their six paired Wnt-genes undergoing both array-and-qPCR as well as lncRNA-and-gene double validation were finally identified as skin-related lncRNA/gene pairs that involved in Wnt signalling pathway in keloids. In conclusion, in-depth exploration on these easily-accessible lncRNAs in keloids might aid to find the novel target on how to maintain highly recurrent tumours benign via Wnt-involved network regulation.

Gene expression profiling analysis of ovarian cancer.

As a gynecological oncology, ovarian cancer has high incidence and mortality. To study the mechanisms of ovarian cancer, the present study analyzed the GSE37582 microarray. GSE37582 was downloaded from Gene Expression Omnibus and included data from 74 ovarian cancer cases and 47 healthy controls. The differentially-expressed genes (DEGs) were screened using linear models for microarray data package in R and were further screened for functional annotation. Next, Gene Ontology and pathway enrichment analysis of the DEGs was conducted. The interaction associations of the proteins encoded by the DEGs were searched using the Search Tool for the Retrieval of Interacting Genes, and the protein-protein interaction (PPI) network was visualized by Cytoscape. Moreover, module analysis of the PPI network was performed using the BioNet analysis tool in R. A total of 284 DEGs were screened, consisting of 145 upregulated genes and 139 downregulated genes. In particular, downregulated FBJ murine osteosarcoma viral oncogene homolog (FOS) was an oncogene, while downregulated cyclin-dependent kinase inhibitor 1A (CDKN1A) was a tumor suppressor gene and upregulated cluster of differentiation 44 (CD44) was classed as an 'other' gene. The enriched functions included collagen catabolic process, stress-activated mitogen-activated protein kinases cascade and insulin receptor signaling pathway. Meanwhile, FOS (degree, 15), CD44 (degree, 9), B-cell CLL/lymphoma 2 (BCL2; degree, 7), CDKN1A (degree, 7) and matrix metallopeptidase 3 (MMP3; degree, 6) had higher connectivity degrees in the PPI network for the DEGs. These genes may be involved in ovarian cancer by interacting with other genes in the module of the PPI network (e.g., BCL2-FOS, BCL2-CDKN1A, FOS-CDKN1A, FOS-CD44, MMP3-MMP7 and MMP7-CD44). Overall, BCL2, FOS, CDKN1A, CD44, MMP3 and MMP7 may be correlated with ovarian cancer.

[Screening for relevant proteins involved in adhesion of Cryptosporidium parvum sporozoites to host cells].

The Cryptosporidium parvum T7 phage display library was screened by using Caco-2 cells. Five specific gene fragments were identified by blasting sequences in GenBank, one of which encoding the CP2 protein was previously identified as a surface molecule of sporozoites and involved in parasite invasion. The others are hypothetic proteins with unknown functions. Bioinformatic analysis of these proteins indicated that they may be involved in the host-parasite interactions.