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Biology subjects

Pereira, F. B.

Publications and source records attributed to Pereira, F. B..

2 recordsLinked to original sources

The effect of estradiol during the early stages of osteoclast differentiation is associated with the accumulation of phosphorylated p53 in mitochondria and the inhibition of mitochondrial metabolism.

Estrogen deficiency increases bone resorption and is a major contributor to osteoporosis. However, the molecular mechanisms mediating the effects of estrogen on osteoclasts remain unclear. This study aimed at elucidating the early metabolic effects of RANKL - the essential cytokine for osteoclastogenesis - and 17-beta-estradiol (E2) on osteoclast progenitor cells, using RAW 264.7 macrophage cell line and bone marrow-derived macrophages as biological models. RANKL stimulated complex I activity, oxidative phosphorylation (OXPHOS), and mitochondria-derived ATP production, as early as 3 to 6 h. This up-regulation of mitochondrial bioenergetics was associated with an increased capacity to oxidize TCA cycle substrates, fatty acids, and amino-acids. E2 inhibited all effects of RANKL on mitochondria metabolism. In the presence of RANKL, E2 also decreased cell number and stimulated the mitochondrial-mediated apoptotic pathway, detected as early as 3h. Surprisingly, the pro-apoptotic effects of E2 were associated with an accumulation of p392S-p53 in mitochondria. These findings elucidate early effects of RANKL on osteoclast progenitor metabolism and suggest novel p53-mediated mechanisms that contribute to postmenopausal osteoporosis.

cell biology↗

Quantitative analysis of neuronal mitochondrial movement reveals patterns resulting from neurotoxicity of rotenone and 6-hydroxydopamine

Alterations in mitochondrial dynamics, including their trafficking, can present early manifestation of neuronal degeneration. However, current methodologies used to study mitochondrial trafficking events rely on parameters that are mostly altered in later stages of neurodegeneration. Our objective was to establish a reliable computational methodology to detect early alterations in neuronal mitochondrial trafficking. We propose a novel quantitative analysis of mitochondria trajectories based on innovative movement descriptors, including straightness, efficiency, anisotropy, and kurtosis. Using biological data from differentiated SH-SY5Y cells treated with mitochondrial toxicants 6-hydroxydopamine and rotenone, we evaluated time and dose-dependent alterations in trajectory descriptors. Mitochondrial movement was analyzed by total internal reflection fluorescence microscopy followed by computer modelling to describe the process. The stacks of individual images were analyzed by an open source MATLAB algorithm (www.github.com/kandelj/MitoSPT) and to characterize mitochondria trajectories, we used the Python package trajpy (https://github.com/ocbe-uio/trajpy/). Our results confirm that this computational approach is effective and accurate in order to study mitochondrial motility and trajectories in the context of healthy and diseased neurons in different stages.

bioinformatics↗