Distinct Effects of Chemical Toxicity and Radioactivity on Metabolic Heat of Cultured Cells Revealed by "Isotope-Editing".
Jana OertelSusanne SachsKatrin FlemmingMuhammad Hassan ObeidKarim FahmyPublished in: Microorganisms (2023)
Studying the toxicity of chemical compounds using isothermal microcalorimetry (IMC), which monitors the metabolic heat from living microorganisms, is a rapidly expanding field. The unprecedented sensitivity of IMC is particularly attractive for studies at low levels of stressors, where lethality-based data are inadequate. We have revealed via IMC the effect of low dose rates from radioactive β - -decay on bacterial metabolism. The low dose rate regime (<400 µGyh -1 ) is typical of radioactively contaminated environmental sites, where chemical toxicity and radioactivity-mediated effects coexist without a predominance or specific characteristic of either of them. We found that IMC allows distinguishing the two sources of metabolic interference on the basis of "isotope-editing" and advanced thermogram analyses. The stable and radioactive europium isotopes 153 Eu and 152 Eu, respectively, were employed in monitoring Lactococcus lactis cultures via IMC. β - -emission (electrons) was found to increase initial culture growth by increased nutrient uptake efficiency, which compensates for a reduced maximal cell division rate. Direct adsorption of the radionuclide to the biomass, revealed by mass spectrometry, is critical for both the initial stress response and the "dilution" of radioactivity-mediated damage at later culture stages, which are dominated by the chemical toxicity of Eu.
Keyphrases
- low dose
- oxidative stress
- crispr cas
- mass spectrometry
- gas chromatography
- induced apoptosis
- single cell
- liquid chromatography
- drinking water
- oxide nanoparticles
- endothelial cells
- heat stress
- high resolution
- heart rate
- stem cells
- big data
- cell cycle arrest
- climate change
- liquid chromatography tandem mass spectrometry
- machine learning
- body composition
- cell death
- cell proliferation
- pi k akt
- endoplasmic reticulum stress
- deep learning
- anaerobic digestion
- high intensity
- solid phase extraction