Enrichment of plasma extracellular vesicles for reliable quantification of their size and concentration for biomarker discovery.

Human plasma is a complex fluid, increasingly used for extracellular vesicle (EV) biomarker studies. Our aim was to find a simple EV-enrichment method for reliable quantification of EVs in plasma to be used as biomarker of disease. Plasma of ten healthy subjects was processed using sedimentation rate- (sucrose cushion ultracentrifugation-sUC) and size- (size exclusion chromatography-SEC) based methods. According to nanoparticle tracking analysis (NTA), asymmetrical flow field-flow fractionation coupled to detectors (AF4-UV-MALS), miRNA quantification, transmission electron microscopy and enzyme-linked immunosorbent assay, enrichment of EVs from plasma with sUC method lead to high purity of EVs in the samples. High nanoparticle concentrations after SEC resulted from substantial contamination with lipoproteins and other aggregates of EV-like sizes that importantly affect downstream EV quantification. Additionally, sUC EV-enrichment method linked to quantification with NTA or AF4-UV-MALS is repeatable, as the relative standard deviation of EV size measured in independently processed samples from the same plasma source was 5.4% and 2.1% when analyzed by NTA or AF4-UV-MALS, respectively. In conclusion, the sUC EV-enrichment method is compatible with reliable measurement of concentration and size of EVs from plasma and should in the future be tested on larger cohorts in relation to different diseases. This is one of the first studies using AF4-UV-MALS to quantify EVs in blood plasma, which opens new possible clinical utility for the technique.

Viral protein Nef is detected in plasma of half of HIV-infected adults with undetectable plasma HIV RNA.

OBJECTIVE: To address the role of translationally active HIV reservoir in chronic inflammation and non-AIDS related disorders, we first need a simple and accurate assay to evaluate viral protein expression in virally suppressed subjects. DESIGN: We optimized an HIV Nef enzyme-linked immunosorbent assay (ELISA) and used it to quantify plasma Nef levels as an indicator of the leaky HIV reservoir in an HIV-infected cohort. METHODS: This study accessed 134 plasma samples from a well-characterized cohort study of HIV-infected and uninfected adults in San Francisco (the SCOPE cohort). We optimized an ELISA for detection of plasma Nef in HIV-negative subjects and HIV-infected non-controllers, and evaluated its utility to quantify plasma Nef levels in a cross-sectional study of ART-suppressed and elite controller HIV-infected subjects. RESULTS: Here, we describe the performance of an optimized HIV Nef ELISA. When we applied this assay to the study cohort we found that plasma Nef levels were correlated with plasma HIV RNA levels in untreated disease. However, we were able to detect Nef in plasma of approximately half of subjects on ART or with elite control, despite the lack of detectable plasma HIV RNA levels using standard assays. Plasma Nef levels were not consistently associated with CD4+ T-cell count, CD8+ T-cell count, self-reported nadir CD4+ T-cell count or the CD4+/CD8+ T-cell ratio in HIV-infected subjects. CONCLUSION: Since plasma HIV RNA levels are undetectable in virally suppressed subjects, it is reasonable to assume that viral protein expression in leaky reservoir, and not plasma virions, is the source of Nef accumulating in plasma. To examine this further, improvements of the assay sensitivity, by lowering the background through improvements in the quality of Nef antibodies, and detailed characterization of the HIV reservoirs are needed.

Trans-Activation Response Element RNA is Detectable in the Plasma of a Subset of Aviremic HIV-1-Infected Patients.

Determining the HIV-1 reservoir size in infected individuals is of great importance for improvement of their treatment. Plasma trans-activation response element (TAR) RNA has been suggested as one of the possible biomarkers. TAR RNA is produced during non-processive transcription in HIV-1 productively infected and latent T cells. Here, plasma samples and paired exosome samples of 55 subjects from the observational SCOPE cohort were analysed for the presence of TAR RNA. First, a PCR-based assay was optimized, which provided 100% specificity and 100% sensitivity in differentiating HIV-1 infected non-controllers from uninfected individuals. Next, TAR RNA was detected in the plasma of 63% of aviremic HIV-1-infected patients, who were either treated with antiretroviral therapy or were elite controllers. Although TAR RNA levels did not correlate with patient gender, age, CD4 levels, CD8 levels, they tended to correlate with CD4/CD8 ratio (P = 0.047). This study is the first to investigate plasma TAR RNA in a relatively large cohort of HIV-1-infected patients. We additionally show that the TAR RNA molecules in the plasma of aviremic patients are not limited to exosomes.

Nef is secreted in exosomes from Nef.GFP-expressing and HIV-1-infected human astrocytes.

HIV-1 infection of the central nervous system causes HIV-associated neurocognitive disorders, even in aviremic patients. Although astrocyte malfunction was associated to these disorders, their implication is overshadowed by contributions of microglia and macrophages. Astrocytes are infected with HIV-1 in vivo and express a relevant amount of viral protein Nef. Nef was shown to stimulate its own release in exosomes from diverse cell types, which in turn have damaging effects on neighboring cells. Using immunoblotting and electron microscopy, we showed that human astrocytes expressing Nef.GFP similarly release Nef in exosomes. Importantly, Nef.GFP expression increases the secretion of exosomes from human astrocytes up to 5.5-fold, as determined by total protein content and nanoparticle tracking analysis. Protein analysis of exosomes and viruses separated on iodixanol gradient further showed that native or pseudotyped HIV-1-infected human astrocytes release exosomes, which contain Nef. Our results provide the basis for future studies of the damaging role of Nef-exosomes produced by HIV-infected astrocytes on the central nervous system.

N-BLR, a primate-specific non-coding transcript leads to colorectal cancer invasion and migration.

BACKGROUND: Non-coding RNAs have been drawing increasing attention in recent years as functional data suggest that they play important roles in key cellular processes. N-BLR is a primate-specific long non-coding RNA that modulates the epithelial-to-mesenchymal transition, facilitates cell migration, and increases colorectal cancer invasion. RESULTS: We performed multivariate analyses of data from two independent cohorts of colorectal cancer patients and show that the abundance of N-BLR is associated with tumor stage, invasion potential, and overall patient survival. Through in vitro and in vivo experiments we found that N-BLR facilitates migration primarily via crosstalk with E-cadherin and ZEB1. We showed that this crosstalk is mediated by a pyknon, a short ~20 nucleotide-long DNA motif contained in the N-BLR transcript and is targeted by members of the miR-200 family. In light of these findings, we used a microarray to investigate the expression patterns of other pyknon-containing genomic loci. We found multiple such loci that are differentially transcribed between healthy and diseased tissues in colorectal cancer and chronic lymphocytic leukemia. Moreover, we identified several new loci whose expression correlates with the colorectal cancer patients' overall survival. CONCLUSIONS: The primate-specific N-BLR is a novel molecular contributor to the complex mechanisms that underlie metastasis in colorectal cancer and a potential novel biomarker for this disease. The presence of a functional pyknon within N-BLR and the related finding that many more pyknon-containing genomic loci in the human genome exhibit tissue-specific and disease-specific expression suggests the possibility of an alternative class of biomarkers and therapeutic targets that are primate-specific.

MicroRNAs in body fluids--the mix of hormones and biomarkers.

Since the discovery of microRNAs (miRNAs), the study of these small noncoding RNAs has steadily increased and more than 10,000 papers have already been published. The great interest in miRNAs reflects their central role in gene-expression regulation and the implication of miRNA-specific aberrant expression in the pathogenesis of cancer, cardiac, immune-related and other diseases. Another avenue of current research is the study of circulating miRNAs in serum, plasma, and other body fluids--miRNAs may act not only within cells, but also at other sites within the body. The presence of miRNAs in body fluids may represent a gold mine of noninvasive biomarkers in cancer. Since deregulated miRNA expression is an early event in tumorigenesis, measuring circulating miRNA levels may also be useful for early cancer detection, which can contribute greatly to the success of treatment. In this Review, we discuss the role of fluid-expressed miRNAs as reliable cancer biomarkers and treatment-response predictors as well as potential new patient selection criteria for clinical trials. In addition, we explore the concept that miRNAs could function as hormones.

MicroRNA: Genomic Association with Cancer Predisposition.

Small non-coding microRNA (miRNA) molecules are 19- to 24-nucleotide RNA molecules that regulate post-transcriptional gene expression. Chromosome alterations, including genome deletions, point mutations, and amplifications, may determine whether miRNAs behave as tumor suppressor genes or oncogenes in human cancers. MiRNA profiling has become a successful tool for characterizing diversified solid tumors. This review will discuss the general mechanism of miRNA function and how their function is affected by cytogenetic alterations. Genomic regions that are frequently deleted or amplified in cancer often code for miRNA. A PubMed database search for expression studies linking miRNA genes with cancer development revealed clusters of as few as three miRNAs that had been previously associated with cancer in several expression studies. The genomic locations most frequently associated with miRNA:cancer "interactions" were distributed among all chromosomes but more often among seven separate chromosomes (some with two locations per chromosome). Some of the miRNAs were associated with up to 12 different human cancers. According to the chromosomal locations of the miRNA genes, some chromosome locations are more often associated with cancer development and its progression. In conclusion, miRNAs likely work in concert with other genes to contribute to the development and progression of complex diseases such as cancer.

Epigenetic regulation of microRNAs in cancer: an integrated review of literature.

MicroRNAs (miRNAs) belong to the heterogeneous class of non-coding RNAs (ncRNAs) that regulate the translation and degradation of target mRNAs, and control approximately 30% of human genes. MiRNA genes might be silenced in human tumors (oncomiRs) by aberrant hypermethylation of CpG islands that encompass or lie adjacent to miRNA genes and/or by histone modifications. We performed literature search for research articles describing epigenetically regulated miRNAs in cancer and identified 45 studies that were published between 2006 and 7/2010. The data from those papers are fragmented and methodologically heterogeneous and our work represents first systematic review towards to integration of diverse sets of information. We reviewed the methods used for detection of miRNA epigenetic regulation, which comprise bisulfite genomic sequencing PCR (BSP), bisulfite pyrosequencing, methylation specific PCR (MSP), combined bisulfite restriction analysis (COBRA), methylation sensitive single nucleotide primer extension (Ms-SNuPE), MassARRAY technique and some modifications of those methods. This integrative study revealed 122 miRNAs that were reported to be epigenetically regulated in 23 cancer types. Compared to protein coding genes, human oncomiRs showed an order of magnitude higher methylation frequency (11.6%; 122/1048 known miRNAs). Nearly half, (45%; 55/122) epigenetically regulated miRNAs were associated with different cancer types, but other 55% (67/122) miRNAs were present in only one cancer type and therefore representing cancer-specific biomarker potential. The data integration revealed miRNA epigenomic hot spots on the chromosomes 1q, 7q, 11q, 14q and 19q. CpG island analysis of corresponding miRNA precursors (pre-miRNAs) revealed that 20% (26/133) of epigenetically regulated miRNAs had a CpG island within the range of 5kb upstream, among them 14% (19/133) of miRNAs resided within the CpG island. Our integrative survey and analyses revealed candidate cancer-specific miRNA epigenetic signatures which provide the basis for new therapeutic strategies in cancer by targeting the epigenetic regulation of miRNAs.

Evaluation of real-time PCR targeting hbb gene for Borrelia species identification.

Several molecular methods have been employed for Borrelia species identification. Newly developed technology, real-time polymerase chain reaction (RT-PCR), combines simultaneous amplification, detection and differentiation of strains in one PCR run. The aim of the study was to perform and evaluate RT-PCR for Borreliaburgdorferi sensu lato species identification. Borrelia species identification was accomplished on 374 Borrelia strains using two approaches: 1.) MluI restriction of entire borrelial chromosome (MluI-large restriction fragment patterns, LRFP), and 2.) RT-PCR targeting hbb gene and specific melting temperature (Tm) detection. The results of the two molecular methods were compared. With MluI-RFLP we were able to differentiate all Borrelia species and their subtypes within particular species. RT-PCR based on Tm determination identified unique strains within the species Borreliaafzelii (Tm 66.11 degrees C), B. burgdorferi sensu stricto (Tm 68.18 degrees C), Borreliaspielmanii (Tm 59.45 degrees C) and Borreliavalaisiana (Tm 59.62 degrees C). We were not able to distinguish the last two species that shared almost identical Tm. The large majority of Borreliagarinii strains shared Tm 51.42 degrees C, while subtype Mlg4 was characterized by Tm 56.87 degrees C. Strains of Borrelialusitaniae species also were heterogeneous; human isolate had Tm 63.47 degrees C while two tick isolates shared Tm 61.77 degrees C. Differences inside hbb gene enabled differentiation of the majority of Borrelia species, and revealed two clusters within B. garinii and B. lusitaniae species, respectively, but it was not possible to distinguish B. spielmanii form B. valaisiana. The major advantage of RT-PCR was that it was easy to perform and that the results were obtained within a few hours.

Non-coding RNAs: identification of cancer-associated microRNAs by gene profiling.

MicroRNAs (miRNAs) belong to the heterogeneous class of non-coding RNAs (ncRNAs), which are by definition RNA molecules that do not encode for proteins, but have instead important structural, catalytic or regulatory functions. In this review we first provide an overview of the different ncRNA families, focusing in particular on miRNAs and their relevance in tumour development and progression. Second we shortly describe the available ncRNA expression profiling methods, which comprise microarray, bead-based hybridization methods, in situ hybridization, quantitative real-time polymerase chain reaction, cloning and deep sequencing methods. Finally, we used the PubMed database to perform an extensive literature search for miRNA expression profiling research articles in cancer and identified 58 studies that were published between 2004 and 2009; we identified 70 miRNAs that were reported in at least five studies as being either up- or downregulated, depending on the type of cancer, and 192 miRNAs that were reported to be up- or downregulated in at least two reports. MiRNA expression profiling of human tumours has identified signatures associated with diagnosis, staging, progression, prognosis, and response to treatment. Based on the most important findings we discuss the possible use of miRNAs as clinical biomarkers in the management of cancer patients for diagnosis, prognosis, and response to therapy.

Single-nucleotide polymorphisms inside microRNA target sites influence tumor susceptibility.

Single-nucleotide polymorphisms (SNP) associated with polygenetic disorders, such as breast cancer (BC), can create, destroy, or modify microRNA (miRNA) binding sites; however, the extent to which SNPs interfere with miRNA gene regulation and affect cancer susceptibility remains largely unknown. We hypothesize that disruption of miRNA target binding by SNPs is a widespread mechanism relevant to cancer susceptibility. To test this, we analyzed SNPs known to be associated with BC risk, in silico and in vitro, for their ability to modify miRNA binding sites and miRNA gene regulation and referred to these as target SNPs. We identified rs1982073-TGFB1 and rs1799782-XRCC1 as target SNPs, whose alleles could modulate gene expression by differential interaction with miR-187 and miR-138, respectively. Genome-wide bioinformatics analysis predicted approximately 64% of transcribed SNPs as target SNPs that can modify (increase/decrease) the binding energy of putative miRNA::mRNA duplexes by >90%. To assess whether target SNPs are implicated in BC susceptibility, we conducted a case-control population study and observed that germline occurrence of rs799917-BRCA1 and rs334348-TGFR1 significantly varies among populations with different risks of developing BC. Luciferase activity of target SNPs, allelic variants, and protein levels in cancer cell lines with different genotypes showed differential regulation of target genes following overexpression of the two interacting miRNAs (miR-638 and miR-628-5p). Therefore, we propose that transcribed target SNPs alter miRNA gene regulation and, consequently, protein expression, contributing to the likelihood of cancer susceptibility, by a novel mechanism of subtle gene regulation.