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1.
Int J Nanomedicine ; 6: 2133-41, 2011.
Article in English | MEDLINE | ID: mdl-22114477

ABSTRACT

BACKGROUND AND METHODS: In this study, gelatin was blended with polyglycolic acid (PGA) at different ratios (0, 10, 30, and 50 wt%) and electrospun. The morphology and structure of the scaffolds were characterized by scanning electron microscopy, Fourier transform infrared spectroscopy, and differential scanning calorimetry. The mechanical properties were also measured by the tensile test. Furthermore, for biocompatibility assessment, human umbilical vein endothelial cells and human umbilical artery smooth muscle cells were cultured on these scaffolds, and cell attachment and viability were evaluated. RESULTS: PGA with 10 wt% gelatin enhanced the endothelial cells whilst PGA with 30 wt% gelatin increased smooth muscle cell adhesion, penetration, and viability compared with the other scaffold blends. Additionally, with the increase in gelatin content, the mechanical properties of the scaffolds were improved due to interaction between PGA and gelatin, as revealed by Fourier transform infrared spectroscopy and differential scanning calorimetry. CONCLUSION: Incorporation of gelatin improves the biological and mechanical properties of PGA, making promising scaffolds for vascular tissue engineering.


Subject(s)
Gelatin/chemistry , Human Umbilical Vein Endothelial Cells/cytology , Nanofibers/chemistry , Polyglycolic Acid/chemistry , Tissue Scaffolds/chemistry , Biocompatible Materials/chemistry , Calorimetry, Differential Scanning , Cell Adhesion/drug effects , Cell Survival/drug effects , Cells, Cultured , Elastic Modulus , Gelatin/pharmacology , Humans , Nanotechnology , Polyglycolic Acid/pharmacology , Spectroscopy, Fourier Transform Infrared , Tensile Strength , Tissue Engineering , Umbilical Arteries/cytology
2.
Arch Iran Med ; 9(1): 53-7, 2006 Jan.
Article in English | MEDLINE | ID: mdl-16649379

ABSTRACT

BACKGROUND: Mycobacterium tuberculosis-specific CD8+ and CD4+ T lymphocyte responses restrict the spread of extracellular pathogens by limiting M.tuberculosis replication. Alterations in cytolytic function, inappropriate maturation/differentiation, and limited proliferation could reduce their ability to control M.tuberculosis replication. METHODS: In an attempt to further characterize the immune responses during M.tuberculosis infection, we enumerated gamma-delta and alpha-beta receptor-bearing T cells expressing CD8 or CD4 phenotype and analyzed the differentiation phenotypes of CD8+ and CD4+ T lymphocyte subpopulations in 47 cases (23 new cases and 24 multidrug resistant patients) and 20 control subjects, using flowcytometry. RESULTS: We found that the CD4/CD8 ratio was significantly lower in newly-diagnosed M.tuberculosis patients compared to multidrug resistant and control subjects (P < 0.003). Also, we found that a large proportion of CD8+ T lymphocytes in newly-diagnosed patients was defined by increased surface expression of CD57 as compared to the two other settings (P < 0.002). This increase was more profound in patients with an inverted CD4/CD8 ratio. Analysis of the late activation antigen revealed that this was predominantly HLA-DR+ (P < 0.003). No significant changes were observed in the percentages of CD8+CD57+ T cells between the different settings. Moreover, the co-stimulatory molecule CD28+ tended to be underexpressed by CD8+ T cells in multidrug resistant patients when compared to newly-diagnosed subjects (P < 0.002), but not to the control subjects. In contrast, the frequency of CD28+ marker on CD4+ T cells was higher in the setting of multidrug resistant compared with those of new cases (P < 0.0001). No significant changes were observed in percentages of gamma-delta receptor-bearing T cells between different groups. CONCLUSION: We suggest that the increase in the proportion of CD57+ within CD8+ T cells in newly-diagnosed patients results from M.tuberculosis antigenic stimulation, which is a hallmark of many infections and that the protracted accumulation of CD57+ T lymphocytes might reflect an end-stage differentiation phenotype.


Subject(s)
CD28 Antigens/analysis , CD4-Positive T-Lymphocytes/immunology , CD57 Antigens/analysis , CD8 Antigens/analysis , CD8-Positive T-Lymphocytes/immunology , Mycobacterium tuberculosis/immunology , Regression Analysis , T-Lymphocyte Subsets/immunology , Antigens, Surface , CD28 Antigens/immunology , CD57 Antigens/immunology , CD8 Antigens/immunology , Cell Differentiation , Coculture Techniques , Flow Cytometry , HLA-DR Antigens , Humans , Immunologic Memory , Lymphocyte Activation , Phenotype , Tuberculosis, Multidrug-Resistant/immunology
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