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An end-modified 2′-O-methyl molecular beacon (eMB) with unique nuclease resistance was designed and prepared. The eMB can resist the enzymatic digestion by DNase I, which would otherwise occur upon the hybridization of the eMB with a complementary sequence. As a result, the coupling use of eMBs and DNase I allows highly sensitive detection of miRNA with a limit of detection (LOD) of 2.5 pM. The analytical strategy was further used for detection of tumor exosomal microRNA-21, and down to 0.86 μg mL−1 A375 exosomes were detected. Overall, the present method can effectively quantify tumor-derived exosomes for cancer diagnosis.

This study aims to explore the mechanism of glioblastoma multiforme (GBM) in hypoxia through metabolomic and proteomic analysis. We showed that the migration and invasiveness of LN18 cells was significantly enhanced after 24 h of hypoxia treatment. The metabolomic and proteomic profiling were conducted in LN18 cells cultured under hypoxia condition. Correlation analysis between significant differential metabolites and proteins revealed seven proteins and ten metabolites, of which metabolite L-Arg was negatively correlated with P4HA1 protein. Meanwhile, the expression of HIF1α, nNOS and P4HA1 was up-regulated, and the concentration of L-Arg and NO was decreased and increased respectively. Knockdown of HIF1α reduced the expression of nNOS and P4HA1, the concentration of NO and the invasiveness of cells, while increased the concentration of L-Arg. Similar changes on P4HA1 expression, the concentration of L-Arg and NO were observed when the expression of nNOS was disrupted. Lastly, knockdown of P4HA1 impaired the invasion of LN18 and T98G cells, probably through regulating the expression of Vimentin, MMP2, MMP9, Snail and E-cadherin. Consistent trends on both the overexpression of these relevant genes, as well as the concentration of L-Arg and NO were also observed in all our overexpression experiments. Besides, we investigated the relationship between P4HA1 expression and prognosis by MTA, CGGA and TCGA databases. Increased P4HA1 level was correlated poor prognosis with advanced histological grade. In summary, we found that hypoxia promotes the migration and invasion of GBM via the L-Arg/P4HA1 axis which maybe an effective molecular marker or predictor of clinical outcome in GBM patients.

As an anticoagulant, Rivaroxaban has recently been reported to be protective in cardiac injury. Based on those previous research results, we detected the roles of Rivaroxaban in Angiotensin II (AngII)-induced cardiac remodeling with KKAy mice and unraveled the underlying mechanisms. Rivaroxaban inhibited cardiac fibrosis and hypertrophy in AngII-infused KKAy mice. In addition, it also inhibited mitochondrial dysfunction. Noteworthily, Rivaroxaban altered the expression of many genes associated with mitochondrial function. Rivaroxaban inhibited the expression of thioredoxin binding protein (TXNIP) as well as the activation of apoptosis stimulating kinase 1 (ASK1). In H9c2 cells treated with AngII and high glucose, Rivaroxaban inhibited TXNIP/thioredoxin2 (Trx2) interaction. Moreover, TXNIP knockout abolished AngII-induced cardiac fibrosis and hypertrophy. Thus, Rivaroxaban ameliorates AngII-induced cardiac remodeling via the suppression of TXNIP signaling in KKAy mice, providing novel mechanism underlying the protective roles of Rivaroxaban against cardiac damage.

Many tumors, especially gliomas, contain an isocitrate dehydrogenase (IDH) mutation that can be used for clinical diagnosis and prognosis. Our study aimed to develop a new reliable detection assay for IDH1 and IDH2 mutations for clinical diagnosis based on the allele-specific (AS) coamplification with lower denaturing-polymerase chain reaction (COLD-PCR) and probe melting curve analysis (PMCA). The method includes 3 elements allowing for the sensitive detection of low-abundance mutations: (1) PCR amplification of the target fragments with AS primers; (2) COLD-PCR; and (3) PMCA for differentiating the different mutations after amplification. We conducted a blinded study with 45 paraffin-embedded gliomas specimens and 13 fresh specimens screened for IDH mutations using Sanger sequencing. Concordance between the results of our AS-COLD-PCR/PMCA assay and Sanger sequencing was 100%. Our assay appeared to be superior to direct sequencing with a much higher sensitivity of 0.4% mutations. In summary, our assay is a cost-effective, convenient, and sensitive method for detecting IDH mutations and could be applied in the clinical setting to assess small brain biopsies.

Gas generation-based measurement is an attractive alternative approach for POC (Point-of-care) testing, which relies on the amount of generated gas to detect the corresponding target concentrations. In gas generation-based POC testing, the integration of a target recognition component and a catalyzed gas-generating reaction initiated by the target introduction can lead to greatly amplified signals, which can be highly sensitive measured via distance readout or simple hand-held devices. More importantly, numerous gas-generating reactions are environment-friendly since their products such as oxygen and nitrogen are nontoxic and odourless, which makes gas generation-based POC testing safe and secure for inexperienced staff. Researchers have demonstrated that gas generation-based measurements enable the rapid and highly sensitive POC detection of a variety of analytes. In this review, we focus on the recent developments in gas generation-based POC testing systems. The common types of gas-generating reactions are first listed and the translation of gas signals to different signal readouts for POC testing are then summarized, including distance readouts and hand-held devices. Moreover, we introduce gas bubbles as actuators to power microfluidic devices. We finally provide the applications and future perspective of gas generation-based POC testing systems.

Enzyme-linked immunosorbent assay (ELISA) is a popular laboratory technique for detection of disease-specific protein biomarkers with high specificity and sensitivity. However, ELISA requires labor-intensive and time-consuming procedures with skilled operators and spectroscopic instrumentation. Simplification of the procedures and miniaturization of the devices are crucial for ELISA-based point-of-care (POC) testing in resource-limited settings. Here, we present a fully integrated, instrument-free, low-cost and portable POC platform which integrates the process of ELISA and the distance readout into a single microfluidic chip. Based on manipulation using a permanent magnet, the process is initiated by moving magnetic beads with capture antibody through different aqueous phases containing ELISA reagents to form bead/antibody/antigen/antibody sandwich structure, and finally converts the molecular recognition signal into a highly sensitive distance readout for visual quantitative bioanalysis. Without additional equipment and complicated operations, our integrated ELISA-Chip with distance readout allows ultrasensitive quantitation of disease biomarkers within 2h. The ELISA-Chip method also showed high specificity, good precision and great accuracy. Furthermore, the ELISA-Chip system is highly applicable as a sandwich-based platform for the detection of a variety of protein biomarkers. With the advantages of visual analysis, easy operation, high sensitivity, and low cost, the integrated sample-in-answer-out ELISA-Chip with distance readout shows great potential for quantitative POCT in resource-limited settings.

Point-of-care testing (POCT) with the advantages of speed, simplicity, and low cost, as well as no need for instrumentation, is critical for the measurement of analytes in a variety of environments lacking access to laboratory infrastructure. In the present study, a hydrogel pressure-based assay for quantitative POCT was developed by integrating a target-responsive hydrogel with pressuremeter readout. The target-responsive hydrogels were constructed with DNA grafted linear polyacrylamide and the cross-linking DNA for selective target recognition. The hydrogel response to the target substance allows release of the preloaded Pt nanoparticles, which have good stability and excellent catalytic ability for decomposing H2O2 to O2. Then, the generated O2 in a sealed environment leads to significant pressure increase, which can be easily read out by a handheld pressuremeter. Using this target-responsive hydrogel pressure-based assay, portable and highly sensitive detection of cocaine, ochratoxin A, and lead ion w...

Gastric cancer (GC) is one of the most malignant tumors with a poor prognosis. Alterations in metabolic pathways are inextricably linked to GC progression. However, the underlying molecular mechanisms remain elusive. We performed NMR-based metabolomic analysis of sera derived from a rat model of gastric carcinogenesis, revealed significantly altered metabolic pathways correlated with the progression of gastric carcinogenesis. Rats were histologically classified into four pathological groups (gastritis, GS; low-grade gastric dysplasia, LGD; high-grade gastric dysplasia, HGD; GC) and the normal control group (CON). The metabolic profiles of the five groups were clearly distinguished from each other. Furthermore, significant inter-metabolite correlations were extracted and used to reconstruct perturbed metabolic networks associated with the four pathological stages compared with the normal stage. Then, significantly altered metabolic pathways were identified by pathway analysis. Our results showed that oxidative stress-related metabolic pathways, choline phosphorylation and fatty acid degradation were continually disturbed during gastric carcinogenesis. Moreover, amino acid metabolism was perturbed dramatically in gastric dysplasia and GC. The GC stage showed more changed metabolite levels and more altered metabolic pathways. Two activated pathways (glycolysis; glycine, serine and threonine metabolism) substantially contributed to the metabolic alterations in GC. These results lay the basis for addressing the molecular mechanisms underlying gastric carcinogenesis and extend our understanding of GC progression.

There is considerable demand for sensitive, selective, and portable detection of disease-associated proteins, particularly in clinical practice and diagnostic applications. Portable devices are highly desired for detection of disease biomarkers in daily life due to the advantages of being simple, rapid, user-friendly, and low-cost. Herein we report an enzyme-encapsulated liposome-linked immunosorbent assay for sensitive detection of proteins using personal glucose meters (PGM) for portable quantitative readout. Liposomes encapsulating a large amount of amyloglucosidase or invertase are surface-coated with recognition elements such as aptamers or antibodies for target recognition. By translating molecular recognition signal into a large amount of glucose with the encapsulated enzyme, disease biomarkers such as thrombin or C-reactive protein (CRP) can be quantitatively detected by a PGM with a high detection limit of 1.8 or 0.30 nM, respectively. With the advantages of portability, ease of use, and low-cost, the method reported here has potential for portable and quantitative detection of various targets for different POC testing scenarios, such as rapid diagnosis in clinic offices, health monitoring at the bedside, and chemical/biochemical safety control in the field.

A high serum HER-2 extracellular domain (sHER-2 ECD) level has a reverse association with tumor behaviors. In this study, a portable platform for the disease biomarker sHER-2 ECD detection has been established using a pressure-based bioassay. The pressure bioassay consists of a monoclonal antibody immobilized on an eight-well strip, the analyte HER-2, and another monoclonal antibody labeled with the Pt nanoparticles (PtNPs), which have the catalytic ability to decompose H2O2 into H2O and O2(g). The increased pressure due to O2(g) generation is measured by a hand-held pressure meter. A total of 34 serum samples were collected to validate the performance of the pressure bioassay. The results showed that the pressure bioassay platform of HER-2 had a dynamic range from 2 to 50 ng/mL with a limit of detection (LOD) of 2 ng/mL, which was consistent with the ELISA result. In the real serum samples, there was a significant correlation between sHER-2 ECD level and several clinicopathological parameters, especially tissue HER-2 status. Furthermore, the sHER-2 ECD level was found to decrease after targeted therapy in a patient with tHER-2 positive. Overall, this bioassay can facilitate breast cancer diagnosis and prognosis in clinical scenarios and resource-limited areas.

The general control of nucleotide synthesis 5 (GCN5), which is one kind of lysine acetyltransferases, regulates a number of cellular processes, such as cell proliferation, differentiation, cell cycle and DNA damage repair. However, its biological role in human glioma development remains elusive. In the present study, we firstly reported that GCN5 was frequently overexpressed in human glioma tissues and GCN5 was positively correlated with proliferation of cell nuclear antigen PCNA and matrix metallopeptidase MMP9. Meanwhile, down-regulation of GCN5 by siRNA interfering inhibited glioma cell proliferation and invasion. In addition, GCN5 knockdown reduced expression of p-STAT3, p-AKT, PCNA and MMP9 and increased the expression of p21 in glioma cells. In conclusion, GCN5 exhibited critical roles in glioma development by regulating cell proliferation and invasion, which suggested that GCN5 might be a potential molecular target for glioma treatment.

Sirtuin7 (Sirt7) is a member of the Sir2 histone deacetylase family that functions in a number of physiological processes, including cellular metabolism, ageing and apoptosis. Several studies have indicated that Sirt7 may serve a vital role in promoting the development of cancer. However, to the best of our knowledge, its function in glioma progression has not been demonstrated. The present study revealed that Sirt7 expression was upregulated in human glioma tissues and that the high expression level of Sirt7 was positively associated with glioma malignancy. Further results indicated that the suppression of Sirt7 expression could inhibit the activation of phosphorylated extracellular signal-regulated kinase (p-ERK) concomitantly with decreased expression of cyclin-dependent kinase 2 in glioma cells. Phosphorylation of signal transducer and activator of transcription 3 (STAT3) inhibited when Sirt7 was downregulated by siRNA interference in glioma cell lines. The findings of the present study indicated that Sirt7 affects the malignancy of glioma cells mainly in promoting glioma proliferation and invasion through ERK and STAT3 signaling. Thus, Sirt7 may function as a valuable target for the treatment of human glioma.

A portable method for the rapid detection of the disease biomarker C-reactive protein (CRP) with a hand-held pressuremeter was developed. The method allows an ultrasensitive quantitation of CRP within the entire clinical range. The pressure-based method could facilitate CRP measurements in point-of-care testing (POCT) scenarios, such as clinical offices, emergency departments, and community service centers.

Herein, we demonstrate that a very familiar, yet underutilized, physical parameter—gas pressure—can serve as signal readout for highly sensitive bioanalysis. Integration of a catalyzed gas-generation reaction with a molecular recognition component leads to significant pressure changes, which can be measured with high sensitivity using a low-cost and portable pressure meter. This new signaling strategy opens up a new way for simple, portable, yet highly sensitive biomedical analysis in a variety of settings.

Metastasis, the capability of tumor cells to spread and grow at distant sites, is the primary factor in cancer mortality. Because metastasis in sentinel lymph nodes suggests the original spread of tumors from a primary site, the detection of lymph node involvement with cancer serves as an important prognostic and treatment parameter. Here we have developed a panel of DNA aptamers specifically binding to colon cancer cell SW620 derived from metastatic site lymph node, with high affinity after 14 rounds of selection by the cell-SELEX (systematic evolution of ligands by exponential enrichment) method. The binding affinities of selected aptamers were evaluated by flow cytometry. Aptamer XL-33 with the best binding affinity (0.7 nM) and its truncated sequence XL-33-1 with 45 nt showed excellent selectivity for recognizing target cell SW620. The binding entity of the selected aptamer has been preliminarily determined as a membrane protein on the cell surface. Tissue imaging results showed that XL-33-1 was highly specific to the metastatic tumor tissue or lymph node tissue with corresponding cancer metastasis and displayed an 81.7% detection rate against colon cancer tissue with metastasis in regional lymph nodes. These results suggest that XL-33-1 has great potential to become a molecular imaging agent for early detection of lymph node tissue with colon cancer metastasis. More importantly, this study clearly demonstrates that DNA ligands selectively recognizing metastatic cancer cells can be readily generated by metastatic-cell-based SELEX for potential applications in metastatic cancer diagnosis and treatment.

Background Ambiguity in malignant transformation of glioma has made prognostic diagnosis very challenging. Tumor malignant transformation is closely correlated with specific alterations of the metabolic profile. Exploration of the underlying metabolic alterations in glioma cells of different malignant degree is therefore vital to develop metabolic biomarkers for prognosis monitoring. Methods We conducted 1H nuclear magnetic resonance (NMR)-based metabolic analysis on cell lines (CHG5, SHG44, U87, U118, U251) developed from gliomas of different malignant grades (WHO II and WHO IV). Several methods were applied to analyze the 1H-NMR spectral data of polar extracts of cell lines and to identify characteristic metabolites, including principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), fuzzy c-means clustering (FCM) analysis and orthogonal projection to latent structure with discriminant analysis (OPLS-DA). The expression analyses of glial fibrillary acidic protein (GFAP) and matrix metal proteinases (MMP-9) were used to assess malignant behaviors of cell lines. GeneGo pathway analysis was used to associate characteristic metabolites with malignant behavior protein markers GFAP and MMP-9. Results Stable and distinct metabolic profiles of the five cell lines were obtained. The metabolic profiles of the low malignancy grade group (CHG5, SHG44) were clearly distinguished from those of the high malignancy grade group (U87, U118, U251). Seventeen characteristic metabolites were identified that could distinguish the metabolic profiles of the two groups, nine of which were mapped to processes related to GFAP and MMP-9. Furthermore, the results from both quantitative comparison and metabolic correlation analysis indicated that the significantly altered metabolites were primarily involved in perturbation of metabolic pathways of tricarboxylic acid (TCA) cycle anaplerotic flux, amino acid metabolism, anti-oxidant mechanism and choline metabolism, which could be correlated with the changes in the glioma cells’ malignant behaviors. Conclusions Our results reveal the metabolic heterogeneity of glioma cell lines with different degrees of malignancy. The obtained metabolic profiles and characteristic metabolites are closely associated with the malignant features of glioma cells, which may lay the basis for both determining the molecular mechanisms underlying glioma malignant transformation and exploiting non-invasive biomarkers for prognosis monitoring. Electronic supplementary material The online version of this article (doi:10.1186/1476-4598-13-197) contains supplementary material, which is available to authorized users.

Transport of PEGylated silica nanoparticles (PSiNPs) with diameters of 100, 50, and 25 nm across the blood–brain barrier (BBB) was evaluated using an in vitro BBB model based on mouse cerebral endothelial cells (bEnd.3) cultured on transwell inserts within a chamber. In vivo animal experiments were further performed by noninvasive in vivo imaging and ex vivo optical imaging after injection via carotid artery. Confocal fluorescence studies were carried out to evaluate the uptake of PSiNPs by brain endothelial cells. The results showed that PSiNPs can traverse the BBB in vitro and in vivo. The transport efficiency of PSiNPs across BBB was found to be size-dependent, with increased particle size resulting in decreased efficiency. This work points to the potential application of small sized silica nanoparticles in brain imaging or drug delivery.

Objective This study investigated the epigenetic role of PRL-3, a key metastasis gene in colorectal cancer (CRC), as a regulator of histone demethylation and the functions of Jumonji domain-containing protein 1B (JMJD1B) and JMJD2B in the progression of CRC. Methods PRL-3-associated proteins were analysed using functional distribution and category enrichment analysis. Western blotting and immunofluorescence were used to detect nuclear PRL-3. The relationship between PRL-3 and JMJD1B or JMJD2B and the roles of JMJD1B, JMJD2B and PRL-3 in histone demethylation were determined after these proteins were knocked down using RNA interference. Case–control studies on JMJD1B and JMJD2B in patients with CRC were performed using immunohistochemical analysis. The in vitro functional effects of JMJD2B and JMJD1B were examined further. Results JMJD1B and JMJD2B, two histone demethylases, were enriched among PRL-3-associated proteins. Nuclear PRL-3 was observed in CRC cells and clinical samples of CRC. The expression of nuclear PRL-3 was increased in patients with CRC at more advanced Dukes9 stages. PRL-3 was involved in the regulation of histone methylation by affecting the activities of JMJD1B and JMJD2B. A low expression of the JMJD1B protein was positively correlated with the lymph node status (p=0.032), Dukes9 classification (p=0.008) and TNM staging (p=0.022) of patients with CRC. A high expression of JMJD2B was positively correlated with the lymph node status (p=0.03), Dukes9 classification (p=0.036) and tumour invasion (p=0.003) of patients with CRC. A loss-of-function analysis confirmed that JMJD2B promoted the proliferation, colony formation and migration of human CRC cells. Conclusion Our data reveal a new role for PRL-3 as a key regulator of histone demethylation. JMJD1B seems to be a candidate tumour suppressor and JMJD2B seems to be a potential oncoprotein in the development and progression of CRC.

To study the correlation of expression implication of MDR genes (GST-pi and Topo II) and MDR gene-coded product (Pgp) with prognosis in laryngopharyngeal malignant melanoma.Using immunohistochemical S-P method,expression of GST-pi, Topo II and Pgp was detected in 28 cases of laryngopharyngeal malignant melanoma. The relationship between GST-pi, Topo II, Pgp and clinicopathological features, prognosis of the tumors were also analyzed.The positive rates of Pgp, GST-pi and Topo II were 35.7%, 57.1% and 46.4% respectively in 28 cases of laryngopharyngeal malignant melanoma, without significant difference (P0.05). The positive rates of Pgp, GST-pi and Topo II were not correlated with sex,age, size of tumor and Clark's grade, Breslow's grade (P0.05), but AJC grade and prognosis (P0.05).Expression of Pgp,GST-pi and Topo II may be the chief mechanism of multi-drug resistance. Detection of multi-drug resistance genes is of necessity and feasibility when predicting the effect of chemotherapy.

Background LATS1 is a tumor suppressor genes implicated in the pathogenesis of certain types of tumors, but its role is not known in human glioma. Methods Using real-time PCR and immunohistochemistry, we detected the mRNA and protein expression of LATS1 in glioma. The effect of LATS1 on cell growth and invasion were investigated. Results We found that mRNA and protein of LATS1 expression is significantly downregulated in glioma compared with normal control brain tissues. Furthermore, reduced LATS1 expression was markedly negatively correlated with WHO grade and KPS (p Conclusion These results indicate that LATS1 is an important candidate tumor suppressor and its downregulated expression may contribute to glioma progression.