ABSTRACT
An alternative model that reliably predicts human-specific toxicity is necessary because the translatability of effects on animal models for human disease is limited to context. Previously, we developed a method that accurately predicts developmental toxicity based on the gene networks of undifferentiated human embryonic stem (ES) cells. Here, we advanced this method to predict adult toxicities of 24 chemicals in six categories (neurotoxins, cardiotoxins, hepatotoxins, two types of nephrotoxins, and non-genotoxic carcinogens) and achieved high predictability (AUC = 0.90-1.00) in all categories. Moreover, we screened for an induced pluripotent stem (iPS) cell line to predict the toxicities based on the gene networks of iPS cells using transfer learning of the gene networks of ES cells, and predicted toxicities in four categories (neurotoxins, hepatotoxins, glomerular nephrotoxins, and non-genotoxic carcinogens) with high performance (AUC = 0.82-0.99). This method holds promise for tailor-made safety evaluations using personalized iPS cells.
ABSTRACT
We investigated the effect of benidipine, a calcium antagonist, against sodium azide (NaN(3))-induced cell death in cultured neonatal rat cardiac myocytes with increase of LDH release, depletion of cellular ATP contents, and collapse of mitochondrial membrane potential (DeltaPsi) as indicators. Cells were treated with 1 mmol/L NaN(3) for 18 h. Benidipine concentration-dependently inhibited NaN(3)-induced cell death. The protective effect of benidipine was compared with those of amlodipine, nifedipine, candesartan, and captopril. Calcium antagonists exhibited a protective effect and the IC(50) values of benidipine, amlodipine, and nifedipine were 0.65, 90, and 65 nmol/L, respectively. NaN(3)-induced cell death was inhibited completely with the calpain inhibitor. It was considered that the sustained elevation of [Ca(2+)](i) might be implicated in NaN(3)-induced cell death. Benidipine, moreover, concentration-dependently preserved cellular ATP contents and maintained DeltaPsi the extent of the control level. In conclusion, benidipine exhibited the protective effect at an approximately 100-fold lower concentration than those of amlodipine and nifedipine in the NaN(3)-induced cardiac cell death model. It was considered that both the inhibition of Ca(2+) influx and the preservation of cellular ATP contents might play an important role in the protective effect of benidipine.
