Mannose receptor-derived peptides neutralize pore-forming toxins and reduce inflammation and development of pneumococcal disease.

Cholesterol-dependent cytolysins (CDCs) are essential virulence factors for many human pathogens like Streptococcus pneumoniae (pneumolysin, PLY), Streptococcus pyogenes (streptolysin O, SLO), and Listeria monocytogenes (Listeriolysin, LLO) and induce cytolysis and inflammation. Recently, we identified that pneumococcal PLY interacts with the mannose receptor (MRC-1) on specific immune cells thereby evoking an anti-inflammatory response at sublytic doses. Here, we identified the interaction sites between MRC-1 and CDCs using computational docking. We designed peptides from the CTLD4 domain of MRC-1 that binds to PLY, SLO, and LLO, respectively. In vitro, the peptides blocked CDC-induced cytolysis and inflammatory cytokine production by human macrophages. Also, they reduced PLY-induced damage of the epithelial barrier integrity as well as blocked bacterial invasion into the epithelium in a 3D lung tissue model. Pre-treatment of human DCs with peptides blocked bacterial uptake via MRC-1 and reduced intracellular bacterial survival by targeting bacteria to autophagosomes. In order to use the peptides for treatment in vivo, we developed calcium phosphate nanoparticles (CaP NPs) as peptide nanocarriers for intranasal delivery of peptides and enhanced bioactivity. Co-administration of peptide-loaded CaP NPs during infection improved survival and bacterial clearance in both zebrafish and mice models of pneumococcal infection. We suggest that MRC-1 peptides can be employed as adjunctive therapeutics with antibiotics to treat bacterial infections by countering the action of CDCs.

Model-Based Nanoengineered Pharmacokinetics of Iron-Doped Copper Oxide for Nanomedical Applications.

The progress in nanomedicine (NM) using nanoparticles (NPs) is mainly based on drug carriers for the delivery of classical chemotherapeutics. As low NM delivery rates limit therapeutic efficacy, an entirely different approach was investigated. A homologous series of engineered CuO NPs was designed for dual purposes (carrier and drug) with a direct chemical composition-biological functionality relationship. Model-based dissolution kinetics of CuO NPs in the cellular interior at post-exposure conditions were controlled through Fe-doping for intra/extra cellular Cu2+ and biological outcome. Through controlled ion release and reactions taking place in the cellular interior, tumors could be treated selectively, in vitro and in vivo. Locally administered NPs enabled tumor cells apoptosis and stimulated systemic anti-cancer immune responses. We clearly show therapeutic effects without tumor cells relapse post-treatment with 6 % Fe-doped CuO NPs combined with myeloid-derived suppressor cell silencing.

Modeling Proteolytically Driven Tumor Lymphangiogenesis.

With the exception of a limited number of sites in the body, primary tumors infrequently lead to the demise of cancer patients. Instead, mortality and a significant degree of morbidity result from the growth of secondary tumors in distant organs. Tumor survival, growth and dissemination are associated with the formation of both new blood vessels (angiogenesis) and new lymph vessels (lymphagenesis or lymphangiogenesis). Although intensive research in tumor angiogenesis has been going on for the past four decades, experimental results in tumor lymphangiogenesis began to appear only in the last 10 years. In this chapter we expand the models proposed by Friedman, Lolas and Pepper on tumor lymphangiogenesis mediated by proteolytically and un-proteolytically processed growth factors (Friedman and Lolas G, Math Models Methods Appl Sci 15(01):95-107, 2005; Pepper and Lolas G, Selected topics in cancer modeling: genesis, evolution, immune competition, and therapy. In: The lymphatic vascular system in lymphangiogenesis invasion and metastasis a mathematical approach. Birkhäuser Boston, Boston, pp 1-22, 2008). The variables represent different cell densities and growth factors concentrations, and where possible the parameters are estimated from experimental and clinical data. The results obtained from computational simulations carried out on the model equations produce dynamic heterogeneous ("anarchic") spatio-temporal solutions. More specifically, we observed coherent masses of tumor clusters migrating around and within the lymphatic network. Our findings are in line with recent experimental evidence that associate cluster formation with the minimization of cell loss favoring high local extracellular matrix proteolysis and thus protecting cancer invading cells from an immunological assault driven by the lymphatic network.