Facile preparation of porphyrin-based porous organic polymers for specific enrichment and isolation of phosphopeptides and phosphorylated exosomes.

Exosomes, which can be used to investigate various disease processes, are novel disease markers that have been extensively studied in recent years. In this work, zirconium-rich porphyrin-based porous organic polymers (Imi-Pops-Zr) were synthesized by a facile and low-cost strategy for specific enrichment and isolation of phosphorylated peptides and exosomes. The proposed material demonstrates a low detection limit (0.5 fmol), a high selectivity (bovine serum albumin (BSA): ß-casein = 1000:1), and a loading capability of 100 mg/g for phosphopeptides. For complex practical samples, after enrichment with Imi-Pops-Zr, 4 characteristic phosphopeptides from human serum, 20 and 12 phosphopeptides from human saliva and defatted milk were detected, respectively. Besides, 74 phosphorylated peptides with 67 phosphorylation sites belonging to 61 phosphoproteins and 67 phosphorylated peptides with 63 phosphorylation sites belonging to 65 phosphoproteins were detected from the serum of normal controls and uremic patients, respectively. Biological processes, cellular components and molecular functions revealed that interleukin-6, tumor necrosis factor, high density lipoprotein and proteases binding may be associated with uremia. Furthermore, Imi-Pops-Zr was successfully used to enrich and isolate exosomes from human serum. The experimental results show that Imi-Pops-Zr has promising application in the specific enrichment of phosphorylated peptides and exosomes in complex bio-samples.

SLC12A5 as a novel potential biomarker of glioblastoma multiforme.

BACKGROUND: Glioblastoma multiforme (GBM) is the most prevalent and malignant intracranial tumor with significant features of dismal prognosis and limited therapeutic solutions. Consequently, the present studies are committed to exploring potential biomarkers through bioinformatics analysis, which may serve as valuable prognostic predictors or novel therapeutic targets and provide new insights into the pathogenesis of GBM. METHODS: We filtered overlapping differentially expressed genes (DEGs) based on expression profilings from three GBM microarray datasets (GSE116520, GSE4290 and GSE68848) and combined RNA sequencing data from The Cancer Genome Atlas and the Genotype-Tissue Expression databases. Hub genes were prioritized from DEGs after performing protein-protein interaction (PPI) network analysis and weighted gene co-expression network analysis (WGCNA). This was followed by survival analysis to identify potential biomarkers among hub genes. Ultimately, the distributions of gene expressions, genetic alterations, upstream regulatory mechanisms and enrichments of gene functions of the identified biomarkers were analysed on public databases. QRT-PCR, immunohistochemical staining and western blotting was also used to confirm the gene expression patterns in GBM and normal brain tissues. CCK-8 assay clarified the effects of the genes on GBM cells. RESULTS: A total of 322 common DEGs were determined and nine genes were subsequently considered as hub genes by the combination of PPI network analysis and WGCNA. Only SLC12A5 had prognostic significance, which was deficient in GBM whereas especially enriched in normal neural tissues. SLC12A5 overexpression would inhibit cell proliferation of U251MG. Genetic alterations of SLC12A5 were rarely seen in GBM patients, and there was no apparent association existed between SLC12A5 expression and DNA methylation. SLC12A5 was prominently involved in ion transport, synapse and neurotransmitter. CONCLUSION: SLC12A5 shows promise to function as a novel effective biomarker for GBM and deserves further systematic research.

Anlotinib combined with temozolomide suppresses glioblastoma growth via mediation of JAK2/STAT3 signaling pathway.

PURPOSE: Anlotinib protects against carcinogenesis through the induction of autophagy and apoptosis. The current study evaluated the role and molecular mechanisms of anlotinib in glioblastoma, and the effects of anlotinib in combination with temozolomide (TMZ). METHODS: Cell Counting Kit-8 and colony-forming assays were used to evaluate cell viability. Cell migration and invasion were assessed by wound-healing, Transwell migration, and Matrigel invasion assays. Cellular apoptosis and cell cycle analysis were determined by flow cytometry. Angiogenesis was assessed using human umbilical vein endothelial cells (HUVECs). Vascular endothelial growth factor A (VEGFA) was measured by enzyme-linked immunosorbent assay. Protein expression was determined by western blotting or immunofluorescence staining. The in vivo anti-glioblastoma effect was assessed with live imaging of tumor xenografts in nude mice. RESULTS: Anlotinib restricted the proliferation, migration, and invasion of glioblastoma cells in a dose-dependent manner. Tumor supernatant from glioblastoma cells treated with anlotinib inhibited angiogenesis in HUVECs. Anlotinib induced autophagy in glioblastoma cells by increasing Beclin-1 and microtubule-associated protein 1 light chain 3B (LC3B) levels. Mechanistically, anlotinib inhibited the Janus kinase 2 (JAK2)/signal transducer and activator of transcription 3 (STAT3)/VEGFA signaling pathway. STAT3 inhibition by S3I-201 decreased VEGFA and suppressed cellular proliferation and movement. TMZ enhanced the anti-glioblastoma ability of anlotinib. Finally, anlotinib inhibited tumor growth and JAK2/STAT3/VEGFA signaling in xenografts. CONCLUSION: Anlotinib exerts anti-glioblastoma activity possibly through the JAK2/STAT3/VEGFA signaling pathway. TMZ potentiated the anti-glioblastoma effect of anlotinib via the same signaling pathway, indicating the potential application of anlotinib as a treatment option for glioblastoma.

LncRNA NEAT1 Enhances Glioma Progression via Regulating the miR-128-3p/ITGA5 Axis.

Accumulating evidences indicate that long non-coding RNA nuclear paraspeckle assembly transcript 1 (NEAT1) promotes the progression of glioma. In this study, we postulated that NEAT1 may act as a miR-128-3p sponge. Relative levels of NEAT1 and miR-128-3p expression in human glioma samples and GBM cells were detected using quantitative real-time PCR. By means of CCK-8 assays, transwell assays, and flow cytometric analysis, the biological functions of miR-128-3p and NEAT1 were investigated in U87MG and U251MG human GBM cell lines with stable miR-128-3p and NEAT1 knockdown or overexpression. The luciferase reports, RNA pull-down assay, and RNA immunoprecipitation assay were conducted to determine the relevance of NEAT1 and miR-128-3p in glioma. As a result, high expression of NEAT1 and lack of miR-128-3p were observed in glioma specimens and cells. By binding to anti-oncogene miR-128-3p in the nucleus, NEAT1 enhanced tumorigenesis and glioma development. Further experiments suggested that ITGA5 expression was increased in glioma tissues and was found to be connected with miR-128-3p. Additionally, NEAT1 facilitated ITGA5 expression via competitively binding to miR-128-3p. For this reason, ITGA5 would not be decomposed by miR-128-3p and could activate FAK signaling pathway, thereby promoting cell growth. Collectively, these results indicated that the NEAT1/miR-128-3p/ITGA5 axis was involved in glioma initiation and progression, and might offer a potential novel strategy for treatment of glioma.

[Breeding and identification of estrogen receptor beta gene knock-out mice].

OBJECTIVE: To breed estrogen receptor beta (ERbeta) gene knock-out female mice for studying postmenopausal osteoporotic fracture. METHODS: Three pairs of ERbeta gene knock-out mice were bred for 3 months, and 14 2-month-old female wild-type C57BL/6J mice with the same genetic background were paired at the ratio of 2:1 and mated with the male ERbeta gene knock-out homozygote mice. After further breeding to obtain sufficient number of mice, the genome DNA was extracted from the tail of the mice for genotyping by PCR. Ten 4-month-old female filial mice with ERbeta gene knock-out and 10 wild-type female mice were randomly selected and sacrificed, and the right proximal tibiae were removed and subjected to micro CT for measuring the parameters of trabecular bone histomorphometry. RESULTS: A total of 340 filial generation mice were reproduced in 2 months and genotypic identification revealed a proportion of ERbeta+ or + mice of 23.5%, ERbeta+ or - mice of 48.27 percent; and homozygous mutant (ERbeta- or -) mice of 28.3% (in which 54 were female). The MicroCT data revealed that the micro-architecture of the proximal tibiae was significantly different between ERbeta gene knock-out mice selected from the filial generation and wild type mice (P<0.05). CONCLUSION: It is feasible to breed ERbeta knock-out female mice by introducing female wild-type mice to pair and mate with ERbeta knock-out homozygote male mice. This approach allows breeding of sufficient number of female ERbeta knock-out mice as the animal models for studying the role of ERbeta.