A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data

In [1], the authors proposed a framework for automated clustering and visualization of biological data sets named AUTO-HDS. This letter is intended to complement that framework by showing that it is possible to get rid of a user-defined parameter in a way that the clustering stage can be implemented more accurately while having reduced computational complexity

N-Acetylcysteine protects the peritoneum from the injury induced by hypertonic dialysis solution

Background: Oxidative stress has been implicated in the development of peritoneal damage. The aim of this study was to evaluate the effects of N-acetylcysteine (NAC) in a rat peritoneal infusion model. Methods: Eighteen male Wistar rats were divided in 3 groups: (i) control group; (ii) HDS group, receiving peritoneal dialysis solution (PDS); and (iii) HDS+NAC group, receiving PDS and oral NAC. Six weeks later they were evaluated for dialysate to plasma urea ratio (D/P), ratio of glucose concentration in peritoneal fluid (G1/G0), thiobarbituric acid reactive substances in plasma and urine and histology of peritoneal membrane. Results: The HDS+NAC group presented a lower increase in solute transport (D/P 0.51 +/- 0.1, and G1/GO 0.35 +/- 0.06) in comparison with the HDS group (D/P 0.67 +/- 0.1; p=0.03, and G1/G0 0.27 +/- 0.07; p=0.01). The HDS+NAC group showed lower thiobarbituric acid reactive substance concentrations compared with the HDS group. In the treated group, the peritoneal membrane presented lower thickness. Conclusions: Functional and histological peritoneal changes were significantly reduced by the treatment with NAC.