047 ± 0 004 (newborn), 0 046 ± 0 004 (10 days),

047 ± 0.004 (newborn), 0.046 ± 0.004 (10 days), ABT-263 cell line 0.051 ± 0.004 (20 days) and 0.049 ± 0.004 (30 days). No statistically significant difference was detected between the groups (F = 1.68, P > 0.05, Fig. 7A, Table 1). Mean inverse difference moment of MDC chromatin structures was: 0.458 ± 0.007 (newborn), 0.453 ± 0.012 (10 days), 0.457 ± 0.009 (20 days) and 0.448 ± 0.010

(30 days). Similarly as with ASM, no statistically significant difference was detected between the groups (F = 1.78, P > 0.05, Fig. 7B, Table 1). The results for GLCM parameters indicate that textural properties of MCD chromatin structure does not change in postnatal development and is not related to complexity loss determined by reduction of chromatin fractal dimensions. The results of our study indicate that chromatin of macula densa cells undergoes age-related loss of structural complexity that is most pronounced immediately after birth and remains during the first month of mouse postnatal life. The detected

complexity reduction is not followed by similar changes in chromatin textural homogeneity (measured primarily by the values of inverse difference moment) suggesting that in MDC, chromatin textural patterns are not related with fractal features. These findings also indicate that intrinsic nuclear click here factors, such as changes in chromatin epigenetic regulation, may have an important role in development and aging of macula densa. One of the possible explanations

for the detected reduction of chromatin complexity may be the relationship between the fractal dimension and lacunarity within nuclear structures. In contrast to fractal dimension, lacunarity significantly increased in mice aged 10 days compared with newborns and remained increased in older animals. Also, in all age groups fractal dimension was strongly correlated (negative correlation) with lacunarity. Although simple correlation does not necessarily implicate causal relationship, we may speculate that the increase of number and size of gaps in chromatin structure (measured by lacunarity) led to the reduction of chromatin complexity in our Tangeritin experiment. Fractal analysis is a commonly used method for evaluation of structural and organizational complexity in biological systems. It has so far been successfully applied in various biological and medical research areas, including cell biology[17, 25] and clinical practice.[26] In this study, we demonstrate age-related decrease of chromatin complexity of macula densa cells measured by fractal dimension. This result is in accordance with findings of other authors, which show generalized and sustained loss of both tissue and cell complexity during aging.[27-30] Our study, however, is the first to demonstrate this loss of complexity on kidney macula densa cells, as well as to combine fractal and GLCM approach in quantification of chromatin structure in kidney.

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