Asiri Abutaleb, Tasleem Munazzah, Al Said Muwadah, Asiri Abdulaziz, Al Qarni Ali Ahmed, Bakillah Ahmed
King Abdullah International Medical Research Center (KAIMRC), Eastern Region, Al Ahsa 36428, Saudi Arabia.
Biomedical Research Core, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Al Ahsa 36428, Saudi Arabia.
Methods Protoc. 2025 Aug 10;8(4):93. doi: 10.3390/mps8040093.
Accurate assessment of drug cytotoxicity in vitro is essential for preclinical evaluation of anticancer agents. Methodological parameters such as cell density and solvent concentrations can significantly influence the reproducibility and reliability of cell-based assay results. This study aims to optimize cell seeding density and evaluate the cytotoxic effects of common solvents (DMSO and ethanol) on different cancer cell lines, complemented by in silico analysis to elucidate underlying mechanisms. Six cancer cell lines (HepG2, Huh7, HT29, SW480, MCF-7, and MDA-MB-231) were seeded at different densities to determine the optimal cell seeding number ideal for cell viability assay at 24, 48, and 72 h. The cytotoxicity of DMSO and ethanol was assessed in these cell lines using an MTT assay at multiple time points. In silico docking studies were conducted to investigate the interactions between solvents and key proteins involved in apoptosis, membrane function, and metabolism. A cell density of 2000 cells per well yielded consistent linear viability across cell lines and time points. DMSO at 0.3125% showed minimal cytotoxicity across all cell lines (except MCF-7) and time points; the cytotoxic effect at higher concentrations is variable depending on cell type and exposure duration. Ethanol exhibited rapid and concentration-dependent cytotoxicity, reducing viability by more than 30% at as low as 0.3125% concentration after 24 h. Docking analyses revealed that DMSO binds specifically to apoptotic and membrane proteins, suggesting a role in inducing apoptosis. In contrast, ethanol primarily interacts with metabolic proteins, consistent with its effect on membrane disruption and rapid cell death. DMSO at 0.3125% is a good choice as a solvent since it has low toxicity in most tested cell lines; however, the safe concentration limit is dependent on cell type and exposure duration. Ethanol exhibited higher cytotoxicity, necessitating careful concentration management. The in silico analysis supports these findings, indicating that DMSO interacts with apoptosis-related proteins, whereas ethanol primarily affects metabolic processes. These results highlight the importance of precise cell density optimization and solvents for reliable cytotoxicity assessment in cell-based assays.
准确评估体外药物细胞毒性对于抗癌药物的临床前评估至关重要。细胞密度和溶剂浓度等方法学参数会显著影响基于细胞的检测结果的可重复性和可靠性。本研究旨在优化细胞接种密度,并评估常见溶剂(二甲基亚砜和乙醇)对不同癌细胞系的细胞毒性作用,并通过计算机模拟分析来阐明潜在机制。将六种癌细胞系(HepG2、Huh7、HT29、SW480、MCF-7和MDA-MB-231)以不同密度接种,以确定在24、48和72小时进行细胞活力检测的理想最佳细胞接种数量。在多个时间点使用MTT法评估这些细胞系中二甲基亚砜和乙醇的细胞毒性。进行计算机模拟对接研究,以研究溶剂与参与细胞凋亡、膜功能和代谢的关键蛋白之间的相互作用。每孔2000个细胞的细胞密度在所有细胞系和时间点均产生一致的线性活力。0.3125%的二甲基亚砜在所有细胞系(MCF-7除外)和时间点均显示出最小的细胞毒性;较高浓度下的细胞毒性作用因细胞类型和暴露持续时间而异。乙醇表现出快速且浓度依赖性的细胞毒性,在24小时后,低至0.3125%的浓度即可使活力降低超过30%。对接分析表明,二甲基亚砜特异性结合凋亡蛋白和膜蛋白,提示其在诱导细胞凋亡中起作用。相比之下,乙醇主要与代谢蛋白相互作用,与其对膜破坏和细胞快速死亡的作用一致。0.3125%的二甲基亚砜是一种很好的溶剂选择,因为它在大多数测试细胞系中毒性较低;然而,安全浓度极限取决于细胞类型和暴露持续时间。乙醇表现出较高的细胞毒性,需要仔细控制浓度。计算机模拟分析支持了这些发现,表明二甲基亚砜与凋亡相关蛋白相互作用,而乙醇主要影响代谢过程。这些结果突出了精确的细胞密度优化和溶剂对于基于细胞的检测中可靠的细胞毒性评估的重要性。
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