Tumor necrosis factor-alpha (TNFα) induces vascular permeability and plays an important role in inflammation. In addition, TNFα-induced vascular leakage is involved in the increased extravasation of nanoparticle-formulated chemotherapeutic drugs, improving drug delivery and subsequent tumor response. Here, we uncovered a positive correlation between the presence of pericytes in the tumor-associated vasculature and TNFα-induced leakage and drug delivery, especially when drugs were encapsulated in nanoparticles.
View Article and Find Full Text PDFPurpose: To evaluate rates of achieving meaningful outcomes and clinical failure at 2 years after undergoing microfracture augmented with allograft cartilage with autologous platelet-rich plasma and to identify predictors of conversion to total hip arthroplasty (THA).
Methods: Data from a prospective series of consecutive patients with Outerbridge grade 4 chondromalacia of the acetabulum or femoral head who underwent hip microfracture augmented with allograft cartilage between January 2017 and June 2022 were analyzed. Patient-reported outcomes were collected preoperatively and at a minimum of 2 years postoperatively.
Microvascular inflammation (MVI) in kidney transplant biopsies is mainly associated with antibody-mediated rejection (AMR), sparking debate within the Banff Classification of Renal Allograft Pathology regarding its exclusivity. This study reviewed the literature on MVI in T cell-mediated rejection (TCMR) and analyzed MVI in our transplant population. We searched English publications in MEDLINE, Embase, Web of Science, Cochrane, and Google Scholar until June 2024, focusing on glomerulitis (g), peritubular capillaritis (ptc), or MVI in kidney transplant biopsies classified as TCMR.
View Article and Find Full Text PDFBackground: The Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) networks 'Seq4AMR' and 'B2B2B AMR Dx' were established to promote collaboration between microbial whole genome sequencing (WGS) and antimicrobial resistance (AMR) stakeholders. A key topic discussed was the frequent variability in results obtained between different microbial WGS-related AMR gene prediction workflows. Further, comparative benchmarking studies are difficult to perform due to differences in AMR gene prediction accuracy and a lack of agreement in the naming of AMR genes (semantic conformity) for the results obtained.
View Article and Find Full Text PDFMicrobial research generates vast and complex data from diverse omics technologies, necessitating innovative analytical solutions. microGalaxy (Galaxy for Microbiology) addresses these needs with a user-friendly platform that integrates >220 tool suites and >65 curated workflows for microbial analyses, including taxonomic profiling, assembly, annotation, and functional analysis. Hosted on the main EU Galaxy server (microgalaxy.
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