搜索结果: 'megacult cytokines cfu'

Megakaryocytopoiesis gives rise to platelets by proliferation and differentiation of lineage-specific progenitors,identified in vitro as Colony Forming Unit-Megakaryocytes (CFU-Mk). The aim of this study was to refine and optimize the in vitro Standard Operating Procedure (SOP) of the CFU-Mk assay for detecting drug-induced thrombocytopenia and to prevalidate a model for predicting the acute exposure levels that cause maximum tolerated decreases in the platelets count,based on the correlation with the maximal plasma concentrations (C max) in vivo. The assay was linear under the SOP conditions,and the in vitro endpoints (percentage of colonies growing) were reproducible within and across laboratories. The protocol performance phase was carried out testing 10 drugs (selected on the base of their recognised or potential in vivo haematotoxicity,according to the literature). Results showed that a relationship can be established between the maximal concentration in plasma (C max) and the in vitro concentrations that inhibited the 10-50-90 percent of colonies growth (ICs). When C max is lower than IC10,it is possible to predict that the chemicals have no direct toxicity effect on CFU-Mk and could not induce thrombocytopenia due to bone marrow damage. When the C max is higher than IC90 and/or IC50,thrombocytopenia can occur due to direct toxicity of chemicals on CFU-Mk progenitors. View Publication

Because of the wide use of pesticides for domestic and industrial purposes,the evaluation of their potential effects is of major concern for public health. The myelotoxicity of the herbicide propanil (3,4-dichloroproprioanilide) and its metabolite 3,4-dichloroaniline (DCA) is well documented in mice,but evidence that pesticides may severely compromise hematopoiesis in humans is lacking. In this study,an interspecies comparison of in vitro toxicity of these two compounds on murine and human burst- and colony-forming unit-erythrocyte (BFU-E,CFU-E) and colony-forming unit-granulocyte/macrophage (CFU-GM) progenitors,has been carried out. Murine bone marrow progenitors and human cord blood cells were exposed to propanil or DCA in doses ranging from 10 micro M to 1000 micro M,and the toxic effect was detected by a clonogenic assay with continuous exposure to the compounds. The results on murine cells indicate that the erythrocytic lineage is the most sensitive target for propanil and DCA. On the other hand,human progenitors seem to be less sensitive to the toxic effects of both compounds than murine progenitors at the same concentrations (IC(50) values are 305.2 +/- 22.6 micro M [total erythroid colonies] and textgreater500 micro M [CFU-GM] for propanil). Propanil was significantly more toxic to human erythroid progenitors than to human CFU-GM progenitors,as was found for the murine cells,emphasizing the role of the heme pathway as the target for propanil. These data confirm the evidence that the compounds investigated interfere with erythroid colony formation at different stages of the differentiation pathway and have different effects according to the dose. View Publication

In a previous study of prevalidation,a standard operating procedure (SOP) for two independent in vitro tests (human and mouse) had been developed,to evaluate the potential hematotoxicity of xenobiotics from their direct and the adverse effects on granulocyte-macrophages (CFU-GM). A predictive model to calculate the human maximum tolerated dose (MTD) was set up,by adjusting a mouse-derived MTD for the differential interspecies sensitivity. In this paper,we describe an international blind trial designed to apply this model to the clinical neutropenia,by testing 20 drugs,including 14 antineoplastics (Cytosar-U,5-Fluorouracil,Myleran,Thioguanine,Fludarabine,Bleomycin,Methotrexate,Gemcitabine,Carmustine,Etoposide,Teniposide,Cytoxan,Taxol,Adriamycin); two antivirals (Retrovir,Zovirax,); three drugs for other therapeutic indications (Cyclosporin,Thorazine,Indocin); and one pesticide (Lindane). The results confirmed that the SOP developed generates reproducible IC90 values with both human and murine GM-CFU. For 10 drugs (Adriamycin,Bleomycin,Etoposide,Fludarabine,5-Fluorouracil,Myleran,Taxol,Teniposide,Thioguanine,and Thorazine),IC90 values were found within the range of the actual drug doses tested (defined as the actual IC90). For the other 10 drugs (Carmustine,Cyclosporin,Cytosar-U,Cytoxan,Gemcitabine,Indocin,Lindane,Methotrexate,Retrovir,and Zovirax) extrapolation on the regression curve out of the range of the actual doses tested was required to derive IC90 values (extrapolated IC90). The model correctly predicted the human MTD for 10 drugs out of 10 that had actual IC90 values" and 7 drugs out of 10 for those having only an extrapolated IC90. Two of the incorrect predictions (Gemcitabine and Zovirax) were within 6-fold of the correct MTD� View Publication

OBJECTIVE: In vitro models of hematopoiesis used in investigative hematopathology and in safety studies on candidate drugs,involve clonogenic assays on colony-forming unit granulocyte macrophage (CFU-GM). These assays require live and unstained colonies to be counted. Most laboratories still rely on visual scoring,which is time-consuming and error-prone. As a consequence,automated scoring is highly desired. An algorithm that recognizes and scores CFU-GM colonies by data fusion has been developed. Some preliminary results are presented in this article. METHODS: CFU-GM assays were carried out on hematopoietic progenitors (human umbilical cord blood cells) grown in methylcellulose. Colony images were acquired by a digital camera and stored. RESULTS: The classifier was designed to process images of layers sampled from a three-dimensional (3D) domain and forming a stack. Structure and texture information was extracted from each image. Classifier training was based on a 3D colony model applied to the image stack. The number of scored colonies (assigned class) was required to match the count supplied by the human expert (class of belonging). The trained classifier was validated on one more stack and then applied to a stack with overlapping colonies. Scoring in distortion- and caustic-affected border areas was also successfully demonstrated. Because of hardware limitations,compact colonies in some cases were missed. CONCLUSIONS: The industry's scoring methods all rely on structure alone and process 2D data. Instead,the classifier here fuses data from a whole stack and is capable,in principle,of high-throughput screening. View Publication