The immunosuppressive capacity of human mesenchymal stromal cells derived from amnion and bone marrow

AbstractMesenchymal stromal cells derived from amnion (AM-MSCs) can be easily obtained in large quantity by less invasive method in comparison to bone marrow-derived MSCs (BM-MSCs). However, the biological and immunosuppressive properties of AM-MSCs are still poorly characterized. Previous studies demonstrated that BM-MSCs expressed indoleamine 2,3-dioxygenase (IDO) to suppress T-cell responses. This study was designed to address whether IDO contributes to the immunosuppressive function of AM-MSCs. MSCs isolated from amnion were cultured in complete medium similar to BM-MSCs. After culture, AM-MSCs exhibited spindle shape morphology and expressed MSC markers similar to that of BM-MSCs. In addition, AM-MSCs were able to differentiate into adipocytes and osteoblasts. Fascinatingly, AM-MSCs and BM-MSCs exhibited comparable degree of immunosuppressive effect when they were co-cultured with activated T-cells. In addition, IDO secreted by AM-MSCs was responsible for induction of immunosuppressive activities in the same manner as BM-MSCs. Taken together; the results of the present study demonstrate that while AM-MSCs and BM-MSCs show similar immunosuppressive effect, AM-MSCs may have additional advantage over the BM-MSCs in terms of availability. Therefore, AM-MSCs might be considered a potential source for therapeutic applications especially for treatment of immune related diseases

Prediction of anticancer peptides against MCF-7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions

Several reports have shown antimicrobial and anticancer activities of mucous glycoproteins extracted from the giant African snail Achatina fulica. Anticancer properties of the snail mucous peptides remain incompletely revealed. The aim of this study was to predict anticancer peptides from A. fulica mucus. Two of HPLC-separated mucous fractions (F2 and F5) showed in vitro cytotoxicity against the breast cancer cell line (MCF-7) and normal epithelium cell line (Vero). According to the mass spectrometric analysis, 404 and 424 peptides from the F2 and F5 fractions were identified. Our comprehensive bioinformatics workflow predicted 16 putative cationic and amphipathic anticancer peptides with diverse structures from these two peptidome data. These peptides would be promising molecules for new anti-breast cancer drug development