| Literature DB >> 35746350 |
Maria Maddalena Calabretta1,2, Denise Gregucci1,2, Tiziana Guarnieri3,4, Marina Bonini5, Elisa Neri5, Martina Zangheri1, Elisa Michelini1,2,4.
Abstract
The development of predictive in vitro sensing tools able to provide rapid information on the different bioactivities of a sample is of pivotal importance, not only to monitor environmental toxicants, but also to understand their mechanisms of action on diverse molecular pathways. This mechanistic understanding is highly important for the characterization of toxicological hazards, and for the risk assessment of chemicals and environmental samples such as surface waters and effluents. Prompted by this need, we developed and optimized a straightforward bioluminescent multiplexed assay which enables the measurement of four bioactivities, selected for their relevance from a toxicological perspective, in bioluminescent microtissues. The assay was developed to monitor inflammatory, antioxidant, and toxic activity, and the presence of heavy metals, and was successfully applied to the analysis of river water samples, showing potential applicability for environmental analyses. The assay, which does not require advanced equipment, can be easily implemented in general laboratories equipped with basic cell culture facilities and a luminometer.Entities:
Keywords: 3D cell models; anti-oxidant activity; bioluminescence; heavy metals; inflammatory activity; microtissue; toxicity
Mesh:
Substances:
Year: 2022 PMID: 35746350 PMCID: PMC9229012 DOI: 10.3390/s22124568
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.847
Figure 1Schematic representation of the bioluminescence sensing platform relying on 3D spherical microtissues for multiple bioactivity analysis.
Figure 2Schematic representation of the acquisition of the BL 3D spherical microtissues for monitoring inflammatory and antioxidant bioactivities, presence of heavy metals, and toxicity.
Figure 3Growth monitoring of 3D spherical microtissues in 10% v/v FBS and 0.5% v/v charcoal stripped FBS. Brightfield images were acquired with Thermo Scientific Invitrogen Evos M5000 Imaging Systems using a 4× objective.
Figure 4Dose-response curves obtained for 2D (solid line) and 3D cultures (dotted line) incubated with TNF-α at 5 h (a) and 24 h (b); with t-BHQ at 5 h (c) and 24 h (d); and with ZnSO4 at 5 h (e) and 24 h (f).
Figure 5Toxicity curves obtained for 2D and 3D cell cultures grown in FBS 10% v/v medium and transfected with pCDNALuc2P. 2D cell cultures (a) and 3D microtissues (b) incubated with ZnSO4 solutions (concentration range from 0.01 to 100 µM) for 5 h and 24 h. 2D cell cultures (c) and 3D spherical microtissues (d) incubated for 5 h and 24 h with t-BHQ solutions (concentration range from 0.01 to 100 µM). 2D cell cultures (e) and 3D microtissues (f) incubated with TNFα (from 0.1 to 20 ng/mL) for 5 h and 24 h.
Figure 6Antioxidant (ANTIOX) and inflammatory (INF) bioactivities, heavy metals presence (HM) and toxicity (TOX) of (a) superficial (BS1, BS2, and BS3) and spiked superficial (S1, S2, and S3) river samples; (b) transitional (BT1, BT2, and BT3) and spiked transitional (T1, T2, and T3) river samples, tested at 5 h in 3D spherical microtissues transfected with pGL4.37[luc2P/ARE/Hygro], pGL4.32[luc2P/NF-κB-RE/Hygro], pGL4.40[luc2P/MRE/Hygro], and pCDNALuc2P, respectively. One-tailed t-test was used to calculate statistical significance for the presence of heavy metals: ns = not significant (p > 0.05); ** = p ≤ 0.01; *** = p ≤ 0.001; **** = p ≤ 0.0001; for antioxidant activity: ns = not significant (p > 0.05); ° = p ≤ 0.05; and for inflammatory activity: ns = not significant (p > 0.05); §§ = p ≤ 0.01; §§§ = p ≤ 0.001.