Exosome-like nanoparticles derived from Allium tuberosum prevent neuroinflammation in microglia-like cells.

OBJECTIVE: Exosome-like nanoparticles (ELNs), which are plant-derived extracellular membrane vesicles, can regulate mammalian gene expression. ELNs can cross the blood-brain barrier, making them potential therapeutic agents or drug-delivery carriers for neuroinflammation-related diseases. Here, we investigated the anti-neuroinflammatory potential of ELNs extracted from Allium tuberosum (A-ELNs). METHODS: A-ELNs were extracted, and their miRNA profile was characterized. A-ELNs were also applied to BV-2 microglial and MG-6 cells derived from C57/BL6 mice stimulated with lipopolysaccharide (LPS), followed by an examination of levels of inflammatory-related factors. To test their drug-carrying potential, A-ELNs were mixed with dexamethasone, an anti-inflammatory drug, to prepare dexamethasone-incorporated A-ELNs (Dex-A-ELNs). KEY FINDINGS: A-ELNs showed a particle size of 145 ± 2 nm and characteristic miRNAs. A-ELNs significantly decreased the LPS-induced nitric oxide (NO) and inflammatory cytokines levels in BV-2 and MG-6 cells. The mRNA expression of heme oxygenase-1 was significantly increased, and that of inducible NO synthase and inflammatory cytokines was significantly decreased by A-ELNs in BV-2 cells. Dex-A-ELNs inhibited NO production in BV-2 cells more potently than either A-ELNs or dexamethasone alone. CONCLUSION: A-ELNs can alleviate microglial inflammation. Their effects can be potentiated by incorporating anti-inflammatory drugs, such as dexamethasone, making them potential therapeutic agents or drug-delivery carriers for neuroinflammation.

Association of Aggression and Antiepileptic Drugs: Analysis Using the Japanese Adverse Drug Event Report (JADER) Database.

Aggression is the most common adverse effect of antiepileptic drugs (AEDs). This study aimed to investigate the association of aggression with AED use. The reporting odds ratio (ROR) from adverse event reports, submitted to the Japanese Adverse Drug Event Report database between 2004 and 2020, was used to calculate and investigate the association between AEDs and aggression. We also analyzed the association of aggression with the combined use of AEDs and the relationship between AED-associated aggression and patient characteristics. A total of 433 patients developed aggression. Significant aggression signals were detected for perampanel (crude ROR: 325.04, 95% confidence interval (CI): 118.48-752.58, p < 0.01), levetiracetam (crude ROR: 17.14, 95% CI: 10.33-26.90, p < 0.01), lacosamide (crude ROR: 16.90, 95% CI: 2.02-62.51, p < 0.01), lamotrigine (crude ROR: 15.98, 95% CI: 9.99-24.39, p < 0.01), valproate (crude ROR: 6.68, 95% CI: 4.27-10.02, p < 0.01), and carbamazepine (crude ROR: 2.47, 95% CI: 1.17-4.59, p < 0.01). The combined therapy with perampanel and levetiracetam had a significant aggression signal (adjusted ROR: 25.90, 95% CI: 1.14-59.10, p < 0.01). In addition, we found that aggression frequently occurred in patients <60 year (adjusted ROR: 2.88, 95% CI: 1.49-5.56, p < 0.01) treated with levetiracetam. These results may be useful for minimizing the risk of aggression during the treatment of AEDs.

Analysis of Drug-Induced Liver Injury from Bofutsushosan Administration Using Japanese Adverse Drug Event Report (JADER) Database.

Bofutsushosan is a traditional Japanese Kampo medicine. In recent years, it has been reported to be effective in the treatment of lifestyle-related diseases, and its use is increasing. However, side effects from bofutsushosan administration are common, with drug-induced liver injury being the most frequently reported complication. In this study, we analyzed the Japanese Adverse Drug Event Report (JADER) database regarding the occurrence of liver injury after bofutsushosan administration. The results showed that bofutsushosan presented a significant reporting odds ratio (ROR) signal [crude ROR 14, 95% confidence interval (CI) 12-17; p < 0.001], indicating liver injury. Furthermore, the incidents of adverse events following bofutsushosan administration, as recorded in the JADER database, were higher in women aged between 30 and 59 years. The results of logistic regression analysis in patients taking this agent showed that females in the aforementioned age range had higher odds of developing drug-induced liver injury (adjusted ROR 5.5, 95% CI 2.8-11; p < 0.001). Therefore, although bofutsushosan is a useful drug for lifestyle-related diseases, it may be necessary to refrain from its overuse, and caution should be taken during its occasional use to avoid severe adverse events.

Yokukansan suppresses neuroinflammation in the hippocampus of mice and decreases the duration of lipopolysaccharide- and diazepam-mediated loss of righting reflex induced by pentobarbital.

Neuroinflammation is associated with the development of hypoactive delirium, which results in poor clinical outcomes. Drugs effective against hypoactive sur have not yet been established. Yokukansan has an anti-neuroinflammatory effect, making it potentially effective against hypoactive delirium. This study aimed to examine the effect of Yokukansan on the pentobarbital-induced loss of righting reflex duration extended with lipopolysaccharide (LPS)-induced neuroinflammation and diazepam-induced gamma-aminobutyric acid receptor stimulation in a mouse model. The active ingredients in Yokukansan and its anti-neuroinflammatory effect on the hippocampus were also investigated. Furthermore, we examined the in vitro anti-inflammatory effects of Yokukansan on LPS-stimulated BV2 cells, a murine microglial cell line. Findings revealed that treatment with Yokukansan significantly decreased the duration of pentobarbital-induced loss of righting reflex by attenuating the LPS-induced increase in interleukin-6 and tumor necrosis factor-alpha levels in the hippocampus. Moreover, treatment with Yokukansan significantly decreased the number of ionized calcium-binding adapter molecule-1-positive cells in the hippocampal dentate gyrus after 24 h of LPS administration. In addition, glycyrrhizic acid, an active ingredient in Yokukansan, partially decreased the duration of pentobarbital-induced loss of righting reflex. Treatment with Yokukansan also suppressed the expression of inducible nitric oxide, interleukin-6, and tumor necrosis factor mRNA in LPS-stimulated BV2 cells. Thus, these findings suggest that Yokukansan and glycyrrhizic acid may be effective therapeutic agents for treating neuroinflammation-induced hypoactive delirium.

Impact of Gut Microbiota on the Pharmacokinetics of Glycyrrhizic Acid in Yokukansan, a Kampo Medicine.

Individual differences in gut microbiota can affect the pharmacokinetics of drugs. Yokukansan is a traditional Japanese kampo medicine used to treat peripheral symptoms of dementia and delirium. A study examining the pharmacokinetics of the components of yokukansan reported large individual differences in the pharmacokinetics of glycyrrhizic acid (GL). It is known that GL is metabolized by intestinal bacteria to glycyrrhetinic acid (GA), which is absorbed in the gastrointestinal tract. Thus, the gut microbiota may affect GL pharmacokinetics. We aimed to clarify the relationship between the gut microbiota composition and pharmacokinetics of GL in yokukansan. Mice were orally administered yokukansan, following the administration of various antibiotics, and the plasma concentration of GA and composition of gut microbiota were measured. The GA plasma concentration was low in mice treated with amoxicillin and vancomycin. The composition of gut microbiota revealed a different pattern from that of the control group. Mice with low plasma levels of GA had lower levels of the phylum Bacteroides and Firmicutes. Additionally, bacteria, such as those belonging to the genera Parabaceroides, Bacteroides, Ruminococcus and an unknown genus in families Lachnospiraceae and Ruminococcaceae, exerted positive correlations between the gene copies and plasma GA levels. These bacteria may contribute to the absorption of GA in the gastrointestinal tract, and multiple bacteria may be involved in GL pharmacokinetics. The pharmacokinetics of GL may be predicted by evaluating the composition of gut bacteria, rather than by evaluating the amount of a single bacterium.