Evaluation of hepatotoxic effects of acetaminophen on HepG2 cells by parallel real-time monitoring in a multi-sensor analysis platform for automated cell-based assays

Autor

DOI:

https://doi.org/10.26124/bec:2022-0006

Słowa kluczowe:

Label-free cell-based assays, oxygen consumption, extracellular acidification, cellular impedance, imaging, automation, hepatotoxicity, acetaminophen

Abstrakt

The CYRIS® analysis platform is a multi-sensory approach to extract a large amount of information from a single cell-based assay automatically and in real-time. To demonstrate its capabilities, we performed an in vitro hepatotoxicity assay with acetaminophen and HepG2, with simultaneous monitoring of the key parameters oxygen consumption rate (OCR), extracellular acidification rate (ECAR), impedance, and microscopic imaging. After 12 hours prior treatment measurement, different concentrations of acetaminophen were tested over 24 hours, followed by 12 hours washout. The metabolic results showed a strong time- and dose-dependent change of OCR and ECAR through acetaminophen. Morphologic changes monitored by impedance and microscopic imaging underpin these metabolic effects. The washout of acetaminophen results in cellular regeneration in all parameters up to a concentration of 10 mM. The continuous measurement of OCR, ECAR, impedance, and microscopic imaging enables multiparametric monitoring of cellular metabolic responses due to acetaminophen in a single assay and provides an overall picture of its hepatotoxic effects.

Cite:

Heichler C, Nagy M, Wolf P (2022) Evaluation of hepatotoxic effects of acetaminophen on HepG2 cells by parallel real-time monitoring in a multi-sensor analysis platform for automated cell-based assays. Bioenerg Commun 2022.6. https://doi.org/10.26124/bec:2022-0006

Opublikowane

2022-07-06

Numer

Dział

Living Communications

Kategorie

Jak cytować

Heichler, C., Nagy, M., & Wolf, P. (2022). Evaluation of hepatotoxic effects of acetaminophen on HepG2 cells by parallel real-time monitoring in a multi-sensor analysis platform for automated cell-based assays. Bioenergetics Communications, 2022, 6. https://doi.org/10.26124/bec:2022-0006