ABSTRACT
Poly(lactic-co-glycolic acid) (PLGA) based nano/micro particles were investigated as a potential vaccine platform for pertussis antigen. Presentation of pertussis toxoid as nano/micro particles (NP/MP) gave similar antigen-specific IgG responses in mice compared to soluble antigen. Notably, in cell line based assays, it was found that PLGA based nano/micro particles enhanced the phagocytosis of fluorescent antigen-nano/micro particles by J774.2 murine monocyte/macrophage cells compared to soluble antigen. More importantly, when mice were immunised with the antigen-nano/micro particles they significantly increased antigen-specific Th1 cytokines INF-γ and IL-17 secretion in splenocytes after in vitro re-stimulation with heat killed Bordetalla pertussis, indicating the induction of a Th1/Th17 response. Also, presentation of pertussis antigen in a NP/MP formulation is able to provide protection against respiratory infection in a murine model. Thus, the NP/MP formulation may provide an alternative to conventional acellular vaccines to achieve a more balanced Th1/Th2 immune response.
Subject(s)
Lactic Acid/chemistry , Polyglycolic Acid/chemistry , Th1 Cells/immunology , Th17 Cells/immunology , Toxoids/administration & dosage , Animals , Antigens, Bacterial/immunology , Bordetella pertussis/immunology , Cell Line , Female , Immunoglobulin G/immunology , Interferon-gamma/immunology , Interleukin-17/immunology , Macrophages/immunology , Mice , Microspheres , Monocytes/immunology , Nanoparticles , Phagocytosis/immunology , Polylactic Acid-Polyglycolic Acid Copolymer , Spleen/cytology , Spleen/immunology , Toxoids/immunology , Whooping Cough/prevention & controlABSTRACT
AIMS: Slide digitalization has brought pathology to a new era, including powerful image analysis possibilities. However, while being a powerful prognostic tool, immunostaining automated analysis on digital images is still not implemented worldwide in routine clinical practice. METHODS AND RESULTS: Digitalized biopsy sections from two independent cohorts of patients, immunostained for membrane or nuclear markers, were quantified with two automated methods. The first was based on stained cell counting through tissue segmentation, while the second relied upon stained area proportion within tissue sections. Different steps of image preparation, such as automated tissue detection, folds exclusion and scanning magnification, were also assessed and validated. Quantification of either stained cells or the stained area was found to be correlated highly for all tested markers. Both methods were also correlated with visual scoring performed by a pathologist. For an equivalent reliability, quantification of the stained area is, however, faster and easier to fine-tune and is therefore more compatible with time constraints for prognosis. CONCLUSIONS: This work provides an incentive for the implementation of automated immunostaining analysis with a stained area method in routine laboratory practice.
