35 research outputs found

    Whole genome identification of Mycobacterium tuberculosis vaccine candidates by comprehensive data mining and bioinformatic analyses

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    <p>Abstract</p> <p>Background</p> <p><it>Mycobacterium tuberculosis</it>, the causative agent of tuberculosis (TB), infects ~8 million annually culminating in ~2 million deaths. Moreover, about one third of the population is latently infected, 10% of which develop disease during lifetime. Current approved prophylactic TB vaccines (BCG and derivatives thereof) are of variable efficiency in adult protection against pulmonary TB (0%–80%), and directed essentially against early phase infection.</p> <p>Methods</p> <p>A genome-scale dataset was constructed by analyzing published data of: (1) global gene expression studies under conditions which simulate intra-macrophage stress, dormancy, persistence and/or reactivation; (2) cellular and humoral immunity, and vaccine potential. This information was compiled along with revised annotation/bioinformatic characterization of selected gene products and <it>in silico </it>mapping of T-cell epitopes. Protocols for scoring, ranking and prioritization of the antigens were developed and applied.</p> <p>Results</p> <p>Cross-matching of literature and <it>in silico</it>-derived data, in conjunction with the prioritization scheme and biological rationale, allowed for selection of 189 putative vaccine candidates from the entire genome. Within the 189 set, the relative distribution of antigens in 3 functional categories differs significantly from their distribution in the whole genome, with reduction in the Conserved hypothetical category (due to improved annotation) and enrichment in Lipid and in Virulence categories. Other prominent representatives in the 189 set are the PE/PPE proteins; iron sequestration, nitroreductases and proteases, all within the Intermediary metabolism and respiration category; ESX secretion systems, resuscitation promoting factors and lipoproteins, all within the Cell wall category. Application of a ranking scheme based on qualitative and quantitative scores, resulted in a list of 45 best-scoring antigens, of which: 74% belong to the dormancy/reactivation/resuscitation classes; 30% belong to the Cell wall category; 13% are classical vaccine candidates; 9% are categorized Conserved hypotheticals, all potentially very potent T-cell antigens.</p> <p>Conclusion</p> <p>The comprehensive literature and <it>in silico</it>-based analyses allowed for the selection of a repertoire of 189 vaccine candidates, out of the whole-genome 3989 ORF products. This repertoire, which was ranked to generate a list of 45 top-hits antigens, is a platform for selection of genes covering all stages of <it>M. tuberculosis </it>infection, to be incorporated in rBCG or subunit-based vaccines.</p

    Vaccines and Autoimmunity

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    Conjugation of antisense oligonucleotides to PEGylated carbon Nanotubes enables efficient knockdown of PTPN22 in T lymphocytes

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    PEGylated-carbon nanotubes (PNTs) were evaluated as nanocarriers of antisense oligonucleotides into T-cells using protein tyrosine phosphatase N22 (PTPN22) as a model target gene. PTPN22 is an important predisposing gene and drug target in type 1 diabetes and several other human autoimmune diseases. Here, we generated the first anti-PTPN22 20-mer antisense oligonucleotides (ASOs) and tethered them to PNTs through a cleavable disulfide bond. Spectroscopic and atomic force microscopy analyses were used to determine the loading of ASO onto PNTs, whereas the cleavable nature of the disulfide bond connecting the oligonucleotide to the nanocarrier was confirmed by incubation with dithiothreitol followed by agarose gel electrophoresis. PNT-conjugated ASOs achieved efficient (>50%) knockdown of PTPN22 expression in T-lymphocytes in culture at the mRNA and protein level, as measured by quantitative real-time PCR and Western blotting, respectively. Considering the high biocompatibility and low in vivo toxicity of PNTs, we expect that our approach will be easily translated to achieve in vivo knockdown of PTPN22 and other T lymphocyte targets, thus enabling novel ASO-mediated immunotherapies for type 1 diabetes and other autoimmune diseases

    Natalizumab inhibits the expression of human endogenous retroviruses of the W family in multiple sclerosis patients: a longitudinal cohort study

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    Background: Several viruses were reported as co-factors triggering the pathogenesis of multiple sclerosis (MS), including the endogenous retroviruses of the HERV-W family, that were also proposed as biomarkers of disease progression and therapy outcome. Objective: The objective of this article is to clarify whether in MS patients treatment with natalizumab has effects on MSRV/syncytin-1/HERV-W expression and the possible relationship with disease outcome. Methods: Peripheral blood mononuclear cells were collected from 22 patients with relapsing-remitting disease, at entry and after three, six and 12 months of treatment with natalizumab. The cell subpopulations and the expression of MSRVenv/syncytin-1/HERV-Wenv were analyzed by flow cytometry and by discriminatory env-specific RT-PCR assays. Results: By flow cytometry the relative amounts of T, NK and monocyte subpopulations were shown to remain fairly constant. A relative increase of B lymphocytes was observed at three to six months (p = 0.033). The MSRVenv and syncitin-1 transcripts were reduced at six to 12 months of therapy (p = 0.0001). Accordingly, at month 12, the plasmamembrane levels of the HERV-Wenv protein were reduced (p = 0.0001). B cells, NK and monocytes but not T cells expressed the HERV-Wenv protein. None of the patients relapsed during therapy. Conclusion: Effective therapy with natalizumab downregulates MSRV/syncytin-1/HERV-W expression

    Carbon nanotube-based nanocarriers: the importance of keeping it clean.

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    Nanotechnology-introduced materials have promising applications as nanocarriers for drugs, peptides, proteins and nucleic acids. Several studies showed that the geometry (shape and size) and chemical properties of nanoparticles affect the kinetics and pathways of cellular uptake and their intracellular trafficking and signaling. Accurate physico-chemical characterization of nanoparticles customarily precedes their use in cell biology and in vivo experiments. However, a fact that is easily overlooked is that nanomaterials decorated with organic matter or resuspended in aqueous buffers can be theoretically contaminated by fungal and bacterial microorganisms. While investigating the effects of extensively characterized PEGylated carbon nanotubes (PNTs) on T lymphocyte activation, we demonstrated bacterial contamination of PNTs, which correlated with low reproducibility and artifacts in cell signaling assays. Contamination and artifacts were easily eliminated by preparing the materials in sterile conditions. We propose that simple sterile preparation procedures should be adopted and sterility evaluation of nanoparticles should be customarily performed, prior to assessing nanoparticle intracellular internalization, trafficking and their effects on cells and entire organisms
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