Influência do tempo e dose de heparina em modelo de peritonite aguda

In the last years, heparin has become target of many studies related to inflammation due its ability of biding to proteins involved on immune response. Recently, it was demonstrated, at our laboratory, using a thIoglycollate-induced peritonitis model, heparin s capacity of reduce cellular influx into the peritoneal cavity, 3 hours after the inflammatory stimulus. Once neutrophilic infiltration is highest around 8 hours after the inflammatory stimulus, at the present work, using the same peritonitis model, it was assessed heparin s ability of keeping the interference on leukocyte infiltration, 8 hours after inflammation induction. Moreover, using cellular differential count, it was evaluated how the cellular populations involved in the inflammatory process would be affected by the treatment. Eight hours after the inflammatory stimulus, only heparin dosage of 1 μg/Kg was able to reduce the cellular influx to peritoneum, 62.8% of reduction when compared to positive control (p < 0.001). Furthermore, heparin dosage of 15 μg/Kg presented a pro-inflammatory effect in whole blood verified by the increase of 60.9% (p < 0.001) and 117.8% (p < 0.001) on neutrophils and monocytes proportion, respectively, when compared to positive control. In addition, this dosage also presented a neutrophilic proportion on peritoneal fluid 27.3% higher than positive control (p < 0.05). This duality between anti- and pro-inflammatory effects at different times corroborates studies that attribute a pleiotropic immunomodulator role to heparin.

Influência do tempo e dose de heparina em modelo de peritonite aguda

In the last years, heparin has become target of many studies related to inflammation due its ability of biding to proteins involved on immune response. Recently, it was demonstrated, at our laboratory, using a thIoglycollate-induced peritonitis model, heparin s capacity of reduce cellular influx into the peritoneal cavity, 3 hours after the inflammatory stimulus. Once neutrophilic infiltration is highest around 8 hours after the inflammatory stimulus, at the present work, using the same peritonitis model, it was assessed heparin s ability of keeping the interference on leukocyte infiltration, 8 hours after inflammation induction. Moreover, using cellular differential count, it was evaluated how the cellular populations involved in the inflammatory process would be affected by the treatment. Eight hours after the inflammatory stimulus, only heparin dosage of 1 μg/Kg was able to reduce the cellular influx to peritoneum, 62.8% of reduction when compared to positive control (p < 0.001). Furthermore, heparin dosage of 15 μg/Kg presented a pro-inflammatory effect in whole blood verified by the increase of 60.9% (p < 0.001) and 117.8% (p < 0.001) on neutrophils and monocytes proportion, respectively, when compared to positive control. In addition, this dosage also presented a neutrophilic proportion on peritoneal fluid 27.3% higher than positive control (p < 0.05). This duality between anti- and pro-inflammatory effects at different times corroborates studies that attribute a pleiotropic immunomodulator role to heparin.

Técnica para segmentação automática de imagens microscópicas de componentes sanguíneos e classificação diferencial de leucócitos baseada em lógica fuzzy

Automatic detection of blood components is an important topic in the field of hematology. The segmentation is an important stage because it allows components to be grouped into common areas and processed separately and leukocyte differential classification enables them to be analyzed separately. With the auto-segmentation and differential classification, this work is contributing to the analysis process of blood components by providing tools that reduce the manual labor and increasing its accuracy and efficiency. Using techniques of digital image processing associated with a generic and automatic fuzzy approach, this work proposes two Fuzzy Inference Systems, defined as I and II, for autosegmentation of blood components and leukocyte differential classification, respectively, in microscopic images smears. Using the Fuzzy Inference System I, the proposed technique performs the segmentation of the image in four regions: the leukocyte’s nucleus and cytoplasm, erythrocyte and plasma area and using the Fuzzy Inference System II and the segmented leukocyte (nucleus and cytoplasm) classify them differentially in five types: basophils, eosinophils, lymphocytes, monocytes and neutrophils. Were used for testing 530 images containing microscopic samples of blood smears with different methods. The images were processed and its accuracy indices and Gold Standards were calculated and compared with the manual results and other results found at literature for the same problems. Regarding segmentation, a technique developed showed percentages of accuracy of 97.31% for leukocytes, 95.39% to erythrocytes and 95.06% for blood plasma. As for the differential classification, the percentage varied between 92.98% and 98.39% for the different leukocyte types. In addition to promoting auto-segmentation and differential classification, the proposed technique also contributes to the definition of new descriptors and the construction of an image database using various processes hematological staining