Dengue Protease-Mediated Activation and Polarization of Macrophages
Misra, R.; Mukherjee, K.; Karmakar, J.; Pal, U.; Maiti, N. C.
Show abstract
Controlled activation of macrophages to achieve desired phenotypes in vivo and in vitro could lead to possible treatments for several inflammatory and proliferative diseases. This investigation uniquely established that dengue protease enhances the polarization and activation of human and murine macrophages following extracellular exposure. It was observed that macrophages have a robust response to extracellularly administered purified dengue NS2B/NS3 protease; it stimulated the macrophages in classical M1 directions and enhanced both the mitogen-activated protein kinases (MAPK) and c-Jun N-terminal kinases (JNK). The cells exhibited an increase in the intracellular levels of proinflammatory cytokines such as IL-2, IL-6, IL-12, and IFN-{gamma} and an elevation of phosphorylated versions of Akt, P38 MARK, SAPK, and ERK. In tandem, this investigation also established that the heightened responses of stimulated cells were associated with an increase in the cellular reactive oxygen species (ROS) level and the nuclear translocation of the NF-{kappa}B (P65) protein. The cell viability assay showed that NS2B/NS3 protease exerts no major toxic effect on macrophages after 24 hours of treatment, even at a dosage (20 g/ml) which was four times higher than the effective dose (5 g/ml). Remarkably, we also observed that the native form of the viral protease, which drives its enzyme activities, had no bearing on the antigenic qualities of the enzyme. Thus, our study highlighted the efficacy of dengue viral NS2B/NS3 protease as a non-toxic ex vivo macrophage activating/polarizing agent and may serve a vital role in macrophage-based cell therapy in the near future. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/624958v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@d29cd1org.highwire.dtl.DTLVardef@1357e96org.highwire.dtl.DTLVardef@109cc52org.highwire.dtl.DTLVardef@45536b_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 16 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Novel Peptide Inhibitor of Human Tumor Necrosis Factor-α has Antiarthritic Activity 96%
- Antiviral activity of lambda-carrageenan against influenza viruses in mice and severe acute respiratory syndrome coronavirus 2 in vitro 94%
- The combination of lipopolysaccharide and D-galactosamine administration show positive genotoxic effect in mice liver 94%
Similar papers in this journal
- Effect of high-frequency low-intensity pulsed electric field on protecting SH-SY5Y cells against hydrogen peroxide and β-amyloid-induced cell injury via ERK pathway 95%
- In silico analysis and in planta production of recombinant ccl21/IL1β protein and characterization of its in vitro anti-tumor and immunogenic activity 95%
- Thermal cycling protects SH-SY5Y cells against hydrogen peroxide and -amyloid-induced cell injury through stress response mechanisms involving Akt pathway 94%
Similar papers in this journal
Similar papers in this journal
- Differential TLR-ERK1/2 activity promotes viral ssRNA and dsRNA mimic-induced dysregulated immunity in macrophages 93%
- In-vitro virucidal activity of hypothiocyanite and hypothiocyanite/lactoferrin mix against SARS-CoV-2 93%
- Aggregatibacter actinomycetemcomitans LtxA hijacks endocytic trafficking pathways in human lymphocytes 92%
Similar papers in this journal
- COVID-19 ORF3a Viroporin Influenced Common and Unique Cellular Signalling Cascades in Lung, Heart and Brain Choroid Plexus Organoids with Additional Enriched MicroRNA Network Analyses for Lung and Brain Tissues 94%
- Designing BH3-mimetic Peptide Inhibitors for the Viral Bcl-2 Homologs A179L and BHRF1: Importance of long-range electrostatic interactions 92%
- Signal Peptide of Human Serum Albumin (residues 1-18) Forms Amyloid-like Aggregates 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.