Extracellular Vesicles Secreted by Astroglial Cells Transport Apolipoprotein D to Neurons and Mediate Neuronal Survival Upon Oxidative Stress

Extracellular vesicle (EV)-mediated glia-to-neuron communication has been recognized in a growing number of physiological and pathological situations. They transport complex sets of molecules that can be beneficial or detrimental for the receiving cell. As in other areas of biology, their analysis is revolutionizing the field of neuroscience, since fundamental signaling processes are being re-evaluated, and applications for neurodegenerative disease therapies have emerged. Using human astrocytic and differentiated neuronal cell lines, we demonstrate that a classical neuroprotective protein, Apolipoprotein D (ApoD), expressed by glial cells and known to promote functional integrity and survival of neurons, is exclusively transported by EVs from astrocytes to neurons, where it gets internalized. Indeed, we demonstrate that conditioned media derived from ApoD-knock-out (KO) astrocytes exert only a partial autocrine protection from oxidative stress (OS) challenges, and that EVs are required for ApoD-positive astrocytic cell line derived medium to exert full neuroprotection. When subfractionation of EVs is performed, ApoD is revealed as a very specific marker of the exosome-containing fractions. These discoveries help us reframe our understanding of the neuroprotective role of this lipid binding protein and open up new research avenues to explore the use of systemically administered ApoD-loaded exosomes that can cross the blood-brain barrier to treat neurodegenerative diseases

ISG15 Is a Novel Regulator of Lipid Metabolism during Vaccinia Virus Infection.

Interferon-stimulated gene 15 (ISG15) is a 15-kDa ubiquitin-like modifier that binds to target proteins in a process termed ISGylation. ISG15, first described as an antiviral molecule against many viruses, participates in numerous cellular processes, from immune modulation to the regulation of genome stability. Interestingly, the role of ISG15 as a regulator of cell metabolism has recently gained strength. We previously described ISG15 as a regulator of mitochondrial functions in bone marrow-derived macrophages (BMDMs) in the context of Vaccinia virus (VACV) infection. Here, we demonstrate that ISG15 regulates lipid metabolism in BMDMs and that ISG15 is necessary to modulate the impact of VACV infection on lipid metabolism. We show that Isg15-/- BMDMs demonstrate alterations in the levels of several key proteins of lipid metabolism that result in differences in the lipid profile compared with Isg15+/+ (wild-type [WT]) BMDMs. Specifically, Isg15-/- BMDMs present reduced levels of neutral lipids, reflected by decreased lipid droplet number. These alterations are linked to increased levels of lipases and are independent of enhanced fatty acid oxidation (FAO). Moreover, we demonstrate that VACV causes a dysregulation in the proteomes of BMDMs and alterations in the lipid content of these cells, which appear exacerbated in Isg15-/- BMDMs. Such metabolic changes are likely caused by increased expression of the metabolic regulators peroxisome proliferator-activated receptor-γ (PPARγ) and PPARγ coactivator-1α (PGC-1α). In summary, our results highlight that ISG15 controls BMDM lipid metabolism during viral infections, suggesting that ISG15 is an important host factor to restrain VACV impact on cell metabolism. IMPORTANCE The functions of ISG15 are continuously expanding, and growing evidence supports its role as a relevant modulator of cell metabolism. In this work, we highlight how the absence of ISG15 impacts macrophage lipid metabolism in the context of viral infections and how poxviruses modulate metabolism to ensure successful replication. Our results open the door to new advances in the comprehension of macrophage immunometabolism and the interaction between VACV and the host.We thank the expert technical assistance of Sara Sandoval. We are grateful to Miguel Sánchez-Álvarez who has kindly provided several commercial reagents. We would like to thank the Spanish National Plan for Scientific and Technical Research and Innovation (Plan Estatal de Investigación Científica y Técnica y de Innovación), (Ministry of Health of Spain, State Secretary of R1D and FEDER/FSE).S

Qualitative and quantitative characterization of exosomes secreted by rat hepatocytes

Comunicaciones a congreso

Aprendizaje autónomo en Matemáticas aplicadas a la edificación: simbiosis entre WebCT y software matemático

En el presente artículo analizamos el proceso de adaptación a enseñanza virtual de las asignaturas del área de Matemática Aplicada en las titulaciones de Arquitectura Técnica e Ingeniería en Edificación, mostrando aquellos aspectos que creemos conveniente mejorar

Interplay between Genome, Metabolome and Microbiome in Colorectal Cancer

Background Colorectal cancer (CRC), a major health concern, is developed depending on environmental, genetic and microbial factors. The microbiome and metabolome have been analyzed to study their role in CRC. However, the interplay of host genetics with those layers in CRC remains unclear. Methods 120 individuals were sequenced and association analyses were carried out for adenoma and CRC risk, and for selected components of the microbiome and metabolome. The epistasis between genes located in cholesterol pathways was analyzed; modifiable risk factors were studied using Mendelian randomization; and the three omic layers were used to integrate their data and to build risk prediction models. Results We detected genetic variants that were associated to components of metabolome or microbiome and adenoma or CRC risk (e.g., in LINC01605, PROKR2 and CCSER1 genes). In addition, we found interactions between genes of cholesterol metabolism, and HDL cholesterol levels affected adenoma (p = 0.0448) and CRC (p = 0.0148) risk. The combination of the three omic layers to build risk prediction models reached high AUC values (>0.91). Conclusions The use of the three omic layers allowed for the finding of biological mechanisms related to the development of adenoma and CRC, and each layer provided complementary information to build risk prediction models

Proteomics analysis of vesicles isolated from plasma and urine of prostate cancer patients using a multiplex, aptamer-based protein array

Proteomics analysis of biofluid-derived vesicles holds enormous potential for discovering non-invasive disease markers. Obtaining vesicles of sufficient quality and quantity for profiling studies has, however, been a major problem, as samples are often replete with co-isolated material that can interfere with the identification of genuine low abundance, vesicle components. Here, we used a combination of ultracentrifugation and size-exclusion chromatography to isolate and analyse vesicles of plasma or urine origin. We describe a sample-handling workflow that gives reproducible, quality vesicle isolations sufficient for subsequent protein profiling. Using a semi-quantitative aptamer-based protein array, we identified around 1,000 proteins, of which almost 400 were present at comparable quantities in plasma versus urine vesicles. Significant differences were, however, apparent with elements like HSP90, integrin αVβ5 and Contactin-1 more prevalent in urinary vesicles, while hepatocyte growth factor activator, prostate-specific antigen–antichymotrypsin complex and many others were more abundant in plasma vesicles. This was also applied to a small set of specimens collected from men with metastatic prostate cancer, highlighting several proteins with the potential to indicate treatment refractory disease. The study provides a practical platform for furthering protein profiling of vesicles in prostate cancer, and, hopefully, many other disease scenarios

Tetraspanin-decorated extracellular vesicle-mimetics as a novel adaptable reference material

Features like small size, low refractive index and polydispersity pose challenges to the currently available detection methods for Extracellular Vesicles (EVs). In addition, the lack of appropriate standards to set up the experimental conditions makes it difficult to compare analyses obtained by different technical approaches. By modifying synthetic nanovesicles with recombinant antigenic regions of EV-enriched tetraspanins, we aimed to construct an EV-mimetic that can be used as a suitable standard for EV analyses. To this end, the sequences of the large extracellular loops of the tetraspanins CD9, CD63 and CD81 were tagged with a target sequence for the biotin ligase BirA, and co-transformed with a BirA expression plasmid into Escherichia coli. GST fusion proteins were then isolated by affinity chromatography and released using thrombin. Biotinylated recombinant tetraspanin-loops were then coupled to (strept)avidin-coated synthetic nanovesicles and analysed and characterised by Dot-blot, Western-blot, Nanoparticle Tracking Analysis, Flow Cytometry and Transmission Electron Microscopy. With this method, we were able to efficiently produce tetraspanin-domain decorated nanovesicles that share biophysical properties with natural EVs, can be detected using specific antibodies against common EV markers such as tetraspanins, and can be used as robust reference materials for detection techniques that are often used in the EV field.This research was supported by grants from Fundación Ramón Areces and Ministerio de Economía y Competitividad (BFU2014-55478-R, REDIEX. SAF2015-71231-REDT, BIO201786500-R) cofounded by FEDER funds. E.L-A. was supported by the European Social Fund, GEIVEX Mobility and Universidad Autónoma de Madrid STS fellow ships,as well as by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.72214

Molecular Profiling of Decompensated Cirrhosis by a Novel MicroRNA Signature

Noninvasive staging of decompensated cirrhosis is an unmet clinical need. The aims of this study were to characterize and validate a novel microRNA (miRNA) signature to stage decompensated cirrhosis and predict the portal pressure and systolic cardiac response to nonselective beta-blockers (NSBBs). Serum samples from patients with decompensated cirrhosis (n = 36) and healthy controls (n = 36) were tested for a novel signature of five miRNAs (miR-452-5p, miR-429, miR-885-5p, miR-181b-5p, and miR-122-5p) identified in the secretome of primary human hepatocytes and for three miRNAs (miR-192-5p, miR-34a-5p, and miR-29a-5p) previously discovered as biomarkers of chronic liver disease. All patients had ascites, which was refractory in 18 (50%), and were placed on NSBBs for variceal bleeding prophylaxis. In all patients, serum miRNAs, hepatic venous pressure gradient, and an echocardiogram study were performed before and 1 month after NSBBs. Patients with cirrhosis had lower serum levels of miR-429, miR-885-5p, miR-181b-5p, miR-122-5p, miR-192-5p, and miR-29a-5p (P < 0.05). Baseline serum miR-452-5p and miR-429 levels were lower in NSBB responders (P = 0.006). miR-181b-5p levels were greater in refractory ascites than in diuretic-sensitive ascites (P = 0.008) and correlated with serum creatinine. miR-452-5p and miR-885-5p were inversely correlated with baseline systemic vascular resistance (ρ = −0.46, P = 0.007; and ρ = −0.41, P = 0.01, respectively) and with diminished systolic contractility (ρ = −0.55, P = 0.02; and ρ = −0.55, P = 0.02, respectively) in patients with refractory ascites after NSBBs. Conclusion: Analysis of a miRNA signature in serum discriminates between patients with decompensated cirrhosis who show more severe systemic circulatory dysfunction and compromised systolic function after beta-blockade and those more likely to benefit from NSBBs

miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments

Next-generation sequencing allows now the sequencing of small RNA molecules and the estimation of their expression levels. Consequently, there will be a high demand of bioinformatics tools to cope with the several gigabytes of sequence data generated in each single deep-sequencing experiment. Given this scene, we developed miRanalyzer, a web server tool for the analysis of deep-sequencing experiments for small RNAs. The web server tool requires a simple input file containing a list of unique reads and its copy numbers (expression levels). Using these data, miRanalyzer (i) detects all known microRNA sequences annotated in miRBase, (ii) finds all perfect matches against other libraries of transcribed sequences and (iii) predicts new microRNAs. The prediction of new microRNAs is an especially important point as there are many species with very few known microRNAs. Therefore, we implemented a highly accurate machine learning algorithm for the prediction of new microRNAs that reaches AUC values of 97.9% and recall values of up to 75% on unseen data. The web tool summarizes all the described steps in a single output page, which provides a comprehensive overview of the analysis, adding links to more detailed output pages for each analysis module. miRanalyzer is available at http://web.bioinformatics.cicbiogune.es/microRNA/