26 research outputs found

    Advances in the field of nanooncology

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    Nanooncology, the application of nanobiotechnology to the management of cancer, is currently the most important chapter of nanomedicine. Nanobiotechnology has refined and extended the limits of molecular diagnosis of cancer, for example, through the use of gold nanoparticles and quantum dots. Nanobiotechnology has also improved the discovery of cancer biomarkers, one such example being the sensitive detection of multiple protein biomarkers by nanobiosensors. Magnetic nanoparticles can capture circulating tumor cells in the bloodstream followed by rapid photoacoustic detection. Nanoparticles enable targeted drug delivery in cancer that increases efficacy and decreases adverse effects through reducing the dosage of anticancer drugs administered. Nanoparticulate anticancer drugs can cross some of the biological barriers and achieve therapeutic concentrations in tumor and spare the surrounding normal tissues from toxic effects. Nanoparticle constructs facilitate the delivery of various forms of energy for noninvasive thermal destruction of surgically inaccessible malignant tumors. Nanoparticle-based optical imaging of tumors as well as contrast agents to enhance detection of tumors by magnetic resonance imaging can be combined with delivery of therapeutic agents for cancer. Monoclonal antibody nanoparticle complexes are under investigation for diagnosis as well as targeted delivery of cancer therapy. Nanoparticle-based chemotherapeutic agents are already on the market, and several are in clinical trials. Personalization of cancer therapies is based on a better understanding of the disease at the molecular level, which is facilitated by nanobiotechnology. Nanobiotechnology will facilitate the combination of diagnostics with therapeutics, which is an important feature of a personalized medicine approach to cancer

    Early Outcomes in Children with Antineutrophil Cytoplasmic Antibody (ANCA) Associated Vasculitis (AAV)

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    Objective: To characterize early disease course in childhood onset antineutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV) and 12-month outcomes. Methods: Eligible subjects were children diagnosed with GPA, MPA, EGPA, and ANCA-positive pauci-immune glomerulonephritis before their eighteenth birthday and entered into The Pediatric Vasculitis Initiative (PedVas) study. The primary outcome was remission (Pediatric Vasculitis Activity Score (PVAS) = 0 with corticosteroid dose (CS) <0.2mg/kg/day) at 12-months. Secondary outcomes included rates of inactive disease (PVAS 0, any CS dose) and improvement at post-induction (4-6 months after diagnosis) and at 12-months, damage at 12-months, and relapse rates. Results: 105 patients were included. Median age at diagnosis was 13.8 years (IQR 10.9 – 15.8 years); 42% achieved remission at 12-months, 49% had inactive disease at post-induction (4-6 months), and 61% had inactive disease at 12-months. The majority of patients improved even if they did not achieve inactive disease. An improvement in PVAS score of 50% from time-of-diagnosis to post-induction was seen in 92% of patients. Minor relapses occurred in 12 of 51 patients (24%) after achieving inactive disease at post-induction. The median damage score (measured by a modified pediatric vasculitis damage index (pVDI)) at 12-months was 1 (range 0-6). 63% of patients had ≥ 1 damage item scored at 12-months. Conclusion: This is the largest study to date reporting outcomes in pediatric AAV. Although a significant proportion of patients do not achieve remission, the majority of patients respond to treatment. Unfortunately, more than half of patients have damage early in their disease course.Medicine, Faculty ofNon UBCPediatrics, Department ofReviewedFacult

    Early outcomes in children with antineutrophil cytoplasmic antibody-associated vasculitis

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    Objective To characterize the early disease course in childhood-onset antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) and the 12-month outcomes in children with AAV. Methods Eligible subjects were children entered into the Pediatric Vasculitis Initiative study who were diagnosed before their eighteenth birthday as having granulomatosis with polyangiitis (Wegener’s), microscopic polyangiitis, eosinophilic granulomatosis with polyangiitis (Churg-Strauss), or ANCA-positive pauciimmune glomerulonephritis. The primary outcome measure was achievement of disease remission (Pediatric Vasculitis Activity Score [PVAS] of 0) at 12 months with a corticosteroid dosage of &lt;0.2 mg/kg/day. Secondary outcome measures included the rates of inactive disease (PVAS of 0, with any corticosteroid dosage) and rates of improvement at postinduction (4–6 months after diagnosis) and at 12 months, presence of damage at 12 months (measured by a modified Pediatric Vasculitis Damage Index [PVDI]; score 05no damage, score 15one damage item present), and relapse rates at 12 months. Results In total, 105 children with AAV were included in the study. The median age at diagnosis was 13.8 years (interquartile range 10.9–15.8 years). Among the study cohort, 42% of patients achieved remission at 12 months, 49% had inactive disease at postinduction (4–6 months), and 61% had inactive disease at 12 months. The majority of patients improved, even if they did not achieve inactive disease. An improvement in the PVAS score of at least 50% from time of diagnosis to postinduction was seen in 92% of patients. Minor relapses occurred in 12 (24%) of 51 patients after inactive disease had been achieved postinduction. The median PVDI damage score at 12 months was 1 (range 0–6), and 63% of patients had ≥1 PVDI damage item scored as present at 12 months. Conclusion This is the largest study to date to assess disease outcomes in pediatric AAV. Although the study showed that a significant proportion of patients did not achieve remission, the majority of patients responded to treatment. Unfortunately, more than one-half of this patient cohort experienced damage to various organ systems early in their disease course.</p

    Protein–protein interaction networks suggest different targets have different propensities for triggering drug resistance

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    Emergence of drug resistance is a major problem in the treatment of many diseases including tuberculosis. To tackle the problem from a wholistic perspective, it is essential to understand the molecular mechanisms by which bacteria acquire drug resistance using a systems approach. Availability of genome-scale data of expression profiles under different drug exposed conditions and protein–protein interactions, makes it feasible to reconstruct and analyze systems-level models. A number of proteins involved in different resistance mechanisms, referred to as the resistome are identified from literature. The interaction of the drug directly with the resistome is unable to explain most resistance processes adequately, including that of increased mutations in the target’s binding site. We recently hypothesized that some communication might exist from the drug environment to the resistome to trigger emergence of drug resistance. We report here a network based approach to identify most plausible paths of such communication in Mycobacterium tuberculosis. Networks capturing both structural and functional linkages among various proteins were weighted based on gene expression profiles upon exposure to specific drugs and betweenness centrality of the interactions. Our analysis suggests that different drug targets and hence different drugs could trigger the resistome to different extents and through different routes. The identified paths correlate well with the mechanisms known through experiment. Some examples of the top ranked hubs in multiple drug specific networks are PolA, FadD1, CydA, a monoxygenase and GltS, which could serve as co-targets, that could be inhibited in order to retard resistance related communication in the cell
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