Lineage-Negative Bone Marrow Cells Protect Against Chronic Renal Failure

Progressive renal failure continues to be a challenge. The use of bone marrow cells represents a means of meeting that challenge. We used lineage-negative (Lin(-)) cells to test the hypothesis that Lin(-) cell treatment decreases renal injury. Syngeneic Fischer 344 rats were divided into four groups: sham ( laparotomy only, untreated); Nx (five-sixth nephrectomy and untreated); NxLC1 (five-sixth nephrectomy and receiving 2 x 10(6) Lin(-) cells on postnephrectomy day 15); and NxLC3 (five-sixth nephrectomy and receiving 2 x 10(6) Lin(-) cells on postnephrectomy days 15, 30, and 45). On postoperative day 16, renal mRNA expression of interleukin (IL)-1 beta, tumor necrosis factor-alpha, and IL-6 was lower in NxLC rats than in Nx rats. On postnephrectomy day 60, NxLC rats presented less proteinuria, glomerulosclerosis, anemia, renal infiltration of immune cells, and protein expression of monocyte chemoattractant protein-1, as well as decreased interstitial area. Immunostaining for proliferating cell nuclear antigen showed that, in comparison with sham rats, Nx rats presented greater cell proliferation, whereas NxLC1 rats and NxLC3 rats presented less cell proliferation than did Nx rats. Protein expression of the cyclin-dependent kinase inhibitor p21 and of vascular endothelial growth factor increased after nephrectomy and decreased after Lin(-) cell treatment. On postnephrectomy day 120, renal function (inulin clearance) was significantly better in Lin(-) cell-treated rats than in untreated rats. Lin(-) cell treatment significantly improved survival. These data suggest that Lin(-) cell treatment protects against chronic renal failure. STEM CELLS 2009; 27: 682-692

Bayesian Analysis for the Generalized Lognormal Distribution Applied to Failure Time Analysis

There are several versions of the lognormal distribution in the statistical literature, one is based in the exponential transformation of generalized normal distribution (GN). This paper presents the Bayesian analysis for the generalized lognormal distribution (logGN) considering independent non-informative Jeffreys distributions for the parameters as well as the procedure for implementing the Gibbs sampler to obtain the posterior distributions of parameters. The results are used to analyze failure time models with right-censored and uncensored data. The proposed method is illustrated using actual failure time data of computers.

Identification of lift-off mechanism failure for salt drill-in drilling fluid containing polymer filter cake through adsorption/desorption studies

Drilling fluid`s contact with the productive zone of horizontal or complex wells can reduce well productivity by fluid invasion in the borehole wall. Salted drilling drill-in fluid containing polymers has often been applied in horizontal or complex petroleum wells in the poorly consolidated sandstone reservoirs of the Campos basin, Rio de Janeiro, Brazil. This fluid usually consists of natural polymers such as starch and xanthan gum, which are deposited as a filter cake on the wellbore wall during the drilling. Therefore, the identification of a lift-off mechanism failure, which can be detachment or blistering and pinholing, will enable formulation improvements. increasing the chances of success during filter cake removal in open hole operations. Likewise, knowledge of drill-in drilling fluid adsorption/desorption onto sand can help understand the filter cake-rock adhesion mechanism and consequently filter cake lift-off mechanism failures. The present study aimed to identify the lift-off failure mechanism for this type of fluid filter cake studying adsorption/desorption onto SiO(2) using solutions of natural polymers, lubricants, besides the fluid itself. Ellipsometry was employed to measure this process. The adsorption/desorption studies showed that the adsorbed layer of drilling fluid onto the walls of the rock pores is made up of clusters of polymers, linked by hydrogen bonds, which results in a force of lower cohesion compared to the electrostatic interaction between silica and polymers. Consequently, it was found that the most probable filter cake failure mechanism is rupture (blistering and pinholing), which results in the formation of ducts within the filter cake. (C) 2009 Elsevier B.V. All rights reserved.