Characteristics of LED light-induced geometrical isomerization and degradation of astaxanthin and improvement of the color value and crystallinity of astaxanthin utilizing the photoisomerization.

The effects of light-emitting diode (LED) irradiation characterized by different emission wavelengths on the E/Z-isomerization and degradation of astaxanthin were investigated. LED irradiation slightly promoted Z-isomerization of astaxanthin, whereas the all-E-isomerization was highly efficiently promoted at specific wavelengths, especially at 365 nm. Astaxanthin isomers did not degrade significantly when dissolved in ethanol and subjected to LED irradiation conditions for 300 min. However, significant degradation was achieved when ethyl acetate was used for dissolution, and the samples were irradiated at the wavelength of 405 nm. The addition of α-tocopherol suppressed the photodegradation of astaxanthin. LED irradiation significantly affected the physical properties of astaxanthin Z-isomers. Irradiation with 365, 405, and 470 nm LEDs enhanced the color value (redness) and crystallinity of the Z-isomers via an all-E-isomerization reaction. These findings can contribute to the development of technologies that can arbitrarily control the E/Z-isomer ratio and physical properties of astaxanthin.

Drug Delivery with Hyaluronic Acid-Coated Polymeric Micelles in Liver Fibrosis Therapy.

Developing delivery vehicles that achieve drug accumulation in the liver and transferability into hepatic stellate cells (HSCs) across the liver sinusoidal endothelium is essential to establish a treatment for hepatic fibrosis. We previously developed hyaluronic acid (HA)-coated polymeric micelles that exhibited affinity to liver sinusoidal endothelial cells. HA-coated micelles possess a core-shell structure of self-assembled biodegradable poly(l-lysine)-b-poly(lactic acid) AB-diblock copolymer (PLys+-b-PLLA), and its exterior is coated with HA through polyion complex formation via electrostatic interaction between anionic HAs and cationic PLys segments. In this study, we prepared HA-coated micelles entrapping olmesartan medoxomil (OLM), an anti-fibrotic drug, and evaluated their possibility as drug delivery vehicles. HA-coated micelles exhibited specific cellular uptake into LX-2 cells (human HSC line) in vitro. In vivo imaging analysis after intravenous (i.v.) injection of HA-coated micelles into mice revealed that the micelles exhibited high accumulation in the liver. Observation of mouse liver tissue sections suggested that HA-coated micelles were distributed in liver tissue. Furthermore, i.v. injection of HA-coated micelles entrapping OLM showed a remarkable anti-fibrotic effect against the liver cirrhosis mouse model. Therefore, HA-coated micelles are promising candidates as drug delivery vehicles for the clinical management of liver fibrosis.

Determination and prediction of permeability across intestinal epithelial cell monolayer of a diverse range of industrial chemicals/drugs for estimation of oral absorption as a putative marker of hepatotoxicity.

Apparent permeability coefficients (P app) across a human intestinal epithelial Caco-2 cell monolayer were measured for a range of industrial/drug chemicals. A predictive equation for determining in vitro P app values of fifty-six substances was set up using multivariate regression analysis based on in silico-estimated physicochemical properties (molecular weights and water distribution coefficients for apical and basal pH environments) (r = 0.77, p <  0.01). Predicted logP app values of a secondary set of 34 compounds were correlated with the measured values. Under the medicinal logP app values associated with their reported fraction absorbed, a significant inverse non-linear correlation was found between the logarithmic transformed values of observed P app values and reported hepatic no-observed-effect levels of industrial chemicals (r = -0.55, p <  0.01, n = 29). In vitro determination and/or in silico prediction of permeability across intestinal cells could be effective for estimating oral absorption as a putative indicator for hepatotoxicity.

Plasma and Hepatic Concentrations of Chemicals after Virtual Oral Administrations Extrapolated Using Rat Plasma Data and Simple Physiologically Based Pharmacokinetic Models.

Only a small fraction of chemicals possesses adequate in vivo toxicokinetic data for assessing potential hazards. The aim of the present study was to model the plasma and hepatic pharmacokinetics of more than 50 disparate types of chemicals and drugs after virtual oral administrations in rats. The models were based on reported pharmacokinetics determined after oral administration to rats. An inverse relationship was observed between no-observed-effect levels after oral administration and chemical absorbance rates evaluated for cell permeability ( r = -0.98, p < 0.001, n = 17). For a varied selection of more than 30 chemicals, the plasma concentration curves and the maximum concentrations obtained using a simple one-compartment model (recently recommended as a high-throughput toxicokinetic model) and a simple physiologically based pharmacokinetic (PBPK) model (consisting of chemical receptor, metabolizing, and central compartments) were highly consistent. The hepatic and plasma concentrations and the hepatic and plasma areas under the concentration-time curves of more than 50 chemicals were roughly correlated; however, differences were evident between the PBPK-modeled values in livers and empirically obtained values in plasma. Of the compounds selected for analysis, only seven had the lowest observed effect level (LOEL) values for hepatoxicity listed in the Hazard Evaluation Support System Integrated Platform in Japan. For these seven compounds, the LOEL values and the areas under the hepatic concentration-time curves estimated using PBPK modeling were inversely correlated ( r = -0.78, p < 0.05, n = 7). This study provides important information to help simulate the high hepatic levels of potent hepatotoxic compounds. Using suitable PBPK parameters, the present models could estimate the plasma/hepatic concentrations of chemicals and drugs after oral doses using both PBPK forward and reverse dosimetry, thereby indicating the potential value of this modeling approach in predicting hepatic toxicity as a part of risk assessments of chemicals absorbed in the human body.