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Biology subjects

Guma, F. T. C. R.

Publications and source records attributed to Guma, F. T. C. R..

2 recordsLinked to original sources

LDL exposure disrupts mitochondrial function and dynamics in a hippocampal neuronal cell line

Hypercholesterolemia has been associated with cognitive dysfunction and neurodegenerative disease. Moreover, this metabolic condition disrupts the blood-brain barrier, allowing Low-Density Lipoprotein (LDL) to enter the Central Nervous System. Thus, we investigated the effects of LDL exposure on mitochondrial function in a mouse hippocampal neuronal cell line (HT-22). HT-22 cells were exposed to human LDL (50 and 300 g/mL) for 24 hours. After this, intracellular lipid droplet (LD) content, cell viability, cell death, and mitochondrial parameters were performed. We found that the higher LDL concentration LDL increases LD content compared to control. Both concentrations increased the number of Annexin V-positive cells, indicating apoptosis. Moreover, in mitochondrial parameters, the exposure of LDL on hippocampal neuronal cell line leads to a decrease in mitochondrial complexes I and II in both concentrations tested and a reduction in Mitotracker Red fluorescence and Mitotracker Red and Mitotracker Green ratio in the higher concentration, indicating dysfunction in the mitochondria. The LDL incubation induces mitochondrial superoxide production and a decrease in superoxide dismutase activity in the lower concentration in HT-22 cells. Finally, hippocampal neuronal cell line exposed to LDL exhibit an increase in the expression of genes associated with mitochondrial fusion (OPA1 and Mitofusin 2) in the lower concentration. In conclusion, our findings suggest that LDL exposure induces mitochondrial dysfunction and modulation in mitochondrial dynamics in the hippocampal neuronal cells.

biochemistry↗

PseudoCell: A collaborative network for in silico prediction of regulatory pathways

Premature cellular senescence is a pivotal process in aging and age-related diseases, triggered by various stressors. However, this is not a homogeneous phenotype, but a heterogeneous cellular state composed of multiple senescence programs with different compositions. Therefore, understanding the complex dynamics of senescence programs requires a systemic approach. We introduce PseudoCell, a multi-valued logical regulatory network designed to explore the molecular intricacies of premature senescence. PseudoCell integrates key senescence signaling pathways and molecular mechanisms, offering a versatile platform for investigating diverse premature senescence programs initiated by different stimuli. Validation through simulation of classical senescence programs, including oxidative stress-induced senescence (OSIS) and oncogene-induced senescence (OIS), demonstrates its ability to replicate molecular signatures consistent with empirical data. Additionally, we explore the role of CCL11, a novel senescence-associated molecule, through simulations that reveal potential pathways and mechanisms underlying CCL11-mediated senescence induction. In conclusion, PseudoCell provides a systematic approach to dissecting premature senescence programs and uncovering novel regulatory mechanisms.

bioinformatics↗