mitochondrial toxicity
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2022 ◽  
Author(s):  
Srijit Seal ◽  
Jordi Carreras-Puigvert ◽  
Maria-Anna Trapotsi ◽  
Hongbin Yang ◽  
Ola Spjuth ◽  
...  

Mitochondrial toxicity is an important safety endpoint in drug discovery. Models based solely on chemical structure for predicting mitochondrial toxicity are currently limited in accuracy and applicability domain to the chemical space of the training compounds. In this work, we aimed to utilize both -omics and chemical data to push beyond the state-of-the-art. We combined Cell Painting and Gene Expression data with chemical structural information from Morgan fingerprints for 382 chemical perturbants tested in the Tox21 mitochondrial membrane depolarization assay. We observed that mitochondrial toxicants significantly differ from non-toxic compounds in morphological space and identified compound clusters having similar mechanisms of mitochondrial toxicity, thereby indicating that morphological space provides biological insights related to mechanisms of action of this endpoint. We further showed that models combining Cell Painting, Gene Expression features and Morgan fingerprints improved model performance on an external test set of 236 compounds by 60% (in terms of F1 score) and improved extrapolation to new chemical space. The performance of our combined models was comparable with dedicated in vitro assays for mitochondrial toxicity; and they were able to detect mitochondrial toxicity where Tox21 assays outcomes were inconclusive because of cytotoxicity. Our results suggest that combining chemical descriptors with different levels of biological readouts enhances the detection of mitochondrial toxicants, with practical implications for use in drug discovery.


2022 ◽  
Vol 47 (1) ◽  
pp. 13-18
Author(s):  
Chika Yamamoto ◽  
Akinori Takemura ◽  
Sanae Ishii ◽  
Atsushi Doi ◽  
Isao Saito ◽  
...  

Cells ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 110
Author(s):  
Carolina Duarte-Hospital ◽  
Arnaud Tête ◽  
François Brial ◽  
Louise Benoit ◽  
Meriem Koual ◽  
...  

Environmental factors including diet, sedentary lifestyle and exposure to pollutants largely influence human health throughout life. Cellular and molecular events triggered by an exposure to environmental pollutants are extremely variable and depend on the age, the chronicity and the doses of exposure. Only a fraction of all relevant mechanisms involved in the onset and progression of pathologies in response to toxicants has probably been identified. Mitochondria are central hubs of metabolic and cell signaling responsible for a large variety of biochemical processes, including oxidative stress, metabolite production, energy transduction, hormone synthesis, and apoptosis. Growing evidence highlights mitochondrial dysfunction as a major hallmark of environmental insults. Here, we present mitochondria as crucial organelles for healthy metabolic homeostasis and whose dysfunction induces critical adverse effects. Then, we review the multiple mechanisms of action of pollutants causing mitochondrial toxicity in link with chronic diseases. We propose the Aryl hydrocarbon Receptor (AhR) as a model of “exposome receptor”, whose activation by environmental pollutants leads to various toxic events through mitochondrial dysfunction. Finally, we provide some remarks related to mitotoxicity and risk assessment.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Eliezer Bose ◽  
Elijah Paintsil ◽  
Musie Ghebremichael

Abstract Background We previously identified differentially expressed genes on the basis of false discovery rate adjusted P value using empirical Bayes moderated tests. However, that approach yielded a subset of differentially expressed genes without accounting for redundancy between the selected genes. Methods This study is a secondary analysis of a case–control study of the effect of antiretroviral therapy on apoptosis pathway genes comprising of 16 cases (HIV infected with mitochondrial toxicity) and 16 controls (uninfected). We applied the maximum relevance minimum redundancy (mRMR) algorithm on the genes that were differentially expressed between the cases and controls. The mRMR algorithm iteratively selects features (genes) that are maximally relevant for class prediction and minimally redundant. We implemented several machine learning classifiers and tested the prediction accuracy of the two mRMR genes. We next used network analysis to estimate and visualize the association among the differentially expressed genes. We employed Markov Random Field or undirected network models to identify gene networks related to mitochondrial toxicity. The Spinglass model was used to identify clusters of gene communities. Results The mRMR algorithm ranked DFFA and TNFRSF1A, two of the upregulated proapoptotic genes, on the top. The overall prediction accuracy was 86%, the two mRMR genes correctly classified 86% of the participants into their respective groups. The estimated network models showed different patterns of gene networks. In the network of the cases, FASLG was the most central gene. However, instead of FASLG, ABL1 and LTBR had the highest centrality in controls. Conclusion The mRMR algorithm and network analysis revealed a new correlation of genes associated with mitochondrial toxicity.


2021 ◽  
Vol 20 ◽  
pp. 100183
Author(s):  
Charles Gong ◽  
Katarzyna R. Przybylak ◽  
Jonathan M. Goodman

2021 ◽  
pp. 096032712110532
Author(s):  
A Salimi ◽  
S Atashbar ◽  
M Shabani

Background: Mitochondria are the main target organelles through which drugs and chemicals exert their toxic effect on cardiomyocytes. The mitochondria-related mechanisms of celecoxib-induced cardiotoxicity have been extensively studied. Accumulated evidence shows natural molecules targeting mitochondria have proven to be effective in preventing cardiotoxicity. Purpose: In the present study, we examined the ameliorative effect of gallic acid (GA) against celecoxib-induced cellular and mitochondrial toxicity in isolated cardiomyocytes and mitochondria. Research Design: The isolated cardiomyocytes and mitochondria were divided into various group, namely, control, celecoxib, celecoxib + GA (10, 50, and 100 µM). Several cellular and mitochondrial parameters such as cell viability, lipid peroxidation, succinate dehydrogenase (SDH) activity, reactive oxygen species (ROS) formation, mitochondrial membrane potential (MMP) collapse, and mitochondrial swelling were assessed in isolated cardiomyocytes and mitochondria. Results: Our results showed that administration of celecoxib (16 µg/ml) induced cytotoxicity and mitochondrial dysfunction at 6 h and 1 h, respectively, which is associated with lipid peroxidation intact cardiomyocytes, mitochondrial ROS formation, MMP collapse, and mitochondrial swelling. The cardiomyocytes and mitochondria treated with celecoxib + GA (10, 50, and 100 µM) significantly and dose-dependently restore the altered levels of cellular and mitochondrial parameters. Conclusions: We concluded that GA through antioxidant potential and inhibition of mitochondrial permeability transition (MPT) pore exerted ameliorative role in celecoxib-induced toxicity in isolated cardiomyocytes and mitochondria. The data of the current study suggested that GA supplementation may reduce celecoxib-induced cellular and mitochondrial toxicity during exposure and may provide a potential prophylactic and defensive candidate for coxibs-induced mitochondrial dysfunction, oxidative stress, and cardiotoxicity.


2021 ◽  
Vol 350 ◽  
pp. S28
Author(s):  
F.Y Bois ◽  
C Tebby ◽  
W Gao ◽  
J Johannes Delp ◽  
G Carta ◽  
...  

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