The application of organoids derived from animal tissues and human-induced pluripotent stem cells to safety assessments of environmental chemicals has been introduced over the last decade. One of the objectives of this approach is to develop an alternative method for animal toxicological studies, while another is to focus on the local reactions of chemicals in each organ/tissue. One of the most important goals is bridging the toxicological properties of chemicals between animals and humans, which may be compared on a level playing field using healthy organoids derived from both animals and humans in vitro, excluding species difference in the absorption, distribution, metabolism, and excretion properties of chemicals in vivo. An overview of the application of organoid systems to safety assessments of environmental chemicals, including general toxicology, developmental toxicology, carcinogenicity, and mutagenicity, was provided herein, and bridging strategies using both animal and human organoids are proposed as a future perspective.

Background: Neuroinflammation plays a critical role in various neurological disorders. Oxycodone has anti-inflammatory properties. The purpose of this work was to look into the effect of oxycodone in controlling lipopolysaccharide (LPS)-induced neuroinflammation in microglia. Methods: LPS-induced HMC3 cells were subjected to oxycodone (2.5, 5, 10 and 20 μg/mL). The mRNA and protein expressions were examined by qRT-PCR and western blotting. TNF-α, IL-1β, IL-6, and IL-8 levels were assessed by ELISA. MTT assay was adopted to measure cell viability. The interactions between CREB, miR-181c and PDCD4 were analyzed by dual-luciferase reporter assay, ChIP and/or RIP assays. Results: Oxycodone treatment alleviated LPS-induced inflammation in HMC3 cells and increased p-CREB level, but reduced PDCD4 and iNOS levels in LPS-treated cells. Mechanistically, oxycodone mitigated LPS-induced neuroinflammation by upregulating miR-181c. In addition, CREB promoted miR-181c expression by directly binding to the MIR181C promoter, and miR-181c inhibited PDCD4 expression by directly binding to PDCD4 3’UTR. As expected, oxycodone alleviated LPS-induced neuroinflammation by regulating the CREB/miR-181c/PDCD4 axis. Conclusion: Oxycodone attenuated LPS-induced neuroinflammation in microglia by regulating the CREB/miR-181c/PDCD4 axis. These findings proved that oxycodone is a potential drug for treating neuroinflammation and elucidate the mechanisms involved.

Caffeine (CFF) is efficiently absorbed after ingestion, and approximately 80% of ingested CFF is metabolized to paraxanthine (PXT). Although PXT has approximately twice the adenosine receptor antagonist activity of CFF, there are few reports measuring the metabolite concentrations during CFF intoxication. Furthermore, no studies have examined the efficacy of hemodialysis (HD) on PXT or the indicators that contribute to treatment strategies for patients with acute CFF intoxication. This study analyzed the association between CFF and PXT blood levels, the blood biochemical data, and the vital signs of 27 cases with information on CFF intake and elapsed time data. It was found that HD was not as effective as CFF against PXT in CFF intoxication; however, HD was effective in cases with relatively high PXT concentrations (>10 μg/mL). Simultaneous analysis of CFF and PXT would make it possible to estimate the time elapsed from CFF intake and the risk of hyperCKemia, which may develop in cases left untreated for a prolonged period after ingestion. Therefore, the measurement of PXT, in addition to CFF, is expected to provide useful information for understanding the pathogenesis of CFF intoxication and the development of treatment strategies of acute CFF intoxication.

The octanol/water partition coefficient, P (logP), is a hydrophobicity index and is one of the determining factors of the pharmacokinetics of chemical compounds. LogP values obtained from in silico software, open chemistry databases, and in vitro liquid chromatography retention factors may vary. Some chemicals (boscalid, etoxazole, and permethrin) have up to four-order-magnitude differences in in silico/in vitro P values. This study aimed to evaluate the effects of logP values of these three compounds, along with bisphenol A, 1,2-dibromobenzene, tetrabromobisphenol A, trazodone, and triazolam, on the input parameters and output plasma/hepatic concentration–time profiles of simple physiologically based pharmacokinetic (PBPK) models. Although the blood-to-plasma concentration ratios (~0.9–0.6) were slightly affected by variations in logP values, logarithmic plasma unbound fraction values and liver-to-plasma partition coefficients (K_p,h) were, respectively, inversely and linearly correlated with logP values (K_p,h was stable at ~6.7 for logP > 4). LogP was among the input parameters for previously established machine learning systems; consequently, the resulting logarithmic intrinsic clearance values were correlated with logP values in the range 2–8. However, the bioavailability, absorption rate constants, and volumes of distribution were not affected. PBPK-modeled plasma and hepatic maximum concentrations and areas under the concentration–time curves after virtual oral doses were mostly within ~0.5- to ~2-fold ranges, except for substances with low in vitro logP values, e.g., etoxazole and permethrin. These results suggest that in silico logP values are generally suitable for pharmacokinetic modeling; nevertheless, caution is needed for compounds with low in vitro logP values of ~2.