Glutamyl-Valine

Vancomycin is the preferred treatment for Clostridioides difficile infection (CDI) but has been associated with a high recurrence rate of CDI in treated patients. Fecal microbiota transplantation (FMT) has emerged as a remarkably successful treatment for recurrent CDI (rCDI). Herein, we present a mouse model of CDI to further define the changes in intestinal inflammation, flora, and metabolites following FMT versus vancomycin treatment and to find the potential therapy to restore colonization resistance. Both FMT and vancomycin treatment could ameliorate CDI-induced clinical features and intestinal tissue damage, with decrease in the levels of inflammatory mediators like IL-1β, IL-6, TNF-α, G-CSF, and MCP-1 in the colon and plasma. Observing the fecal gut microbiome profile revealed that unlike vancomycin, FMT could replenish intestinal microbiota by augmenting the relative abundance of the phylum Bacteroidetes and eliminating the abundance of the phylum Proteobacteria. FMT also reduced the levels of several carbohydrates, such as raffinose and fructose-6-phosphate, and amino acids, including tryptophan and glutamyl-valine, in the gut metabolome, thus suppressing C. difficile germination and growth. Our results suggest that the FMT-induced reconstruction of a specific gut community structure and restoration of metabolites promote the recovery of colonization resistance in mice better than vancomycin, thus offering new insights for the prevention of rCDI. KEY POINTS: · Both FMT and vancomycin ameliorate CDI-induced inflammatory response. · FMT restores a specific community structure and gut metabolites. · Mice treated with FMT may promote the recovery of colonization resistance and has a better outcome.

The present study analyzed the transepithelial transport of the dietary anti-inflammatory peptide, γ-glutamyl valine (γ-EV). γ-EV is naturally found in dry edible beans. Our previous study demonstrated the anti-inflammatory potency of γ-EV against vascular inflammation at a concentration of 1mM, and that it can transport with the apparent permeability coefficient (Papp) of 1.56 × 10-6 ± 0.7 × 10-6 cm/s across the intestinal Caco-2 cells. The purpose of the current study was to explore whether the permeability of the peptide could be enhanced and to elucidate the mechanism of transport of γ-EV across Caco-2 cells. The initial results indicated that γ-EV was nontoxic to the Caco-2 cells up to 5 mM concentration and could be transported across the intestinal cells intact. During apical-to-basolateral transport, a higher peptide dose (5 mM) significantly (p < 0.01) enhanced the transport rate to 2.5 × 10-6 ± 0.6 × 10-6 cm/s. Cytochalasin-D disintegrated the tight-junction proteins of the Caco-2 monolayer and increased the Papp of γ-EV to 4.36 × 10-6 ± 0.16 × 10-6 cm/s (p < 0.001), while theaflavin 3'-gallate and Gly-Sar significantly decreased the Papp (p < 0.05), with wortmannin having no effects on the peptide transport, indicating that the transport route of γ-EV could be via both PepT1-mediated and paracellular.

Purpose: Metabolomics has attracted attention as a new method for understanding the molecular mechanisms of psychiatric disorders. Current metabolomics technology allows us to measure over hundreds of metabolites at a time and is a useful indicator of the consequences of complex and continuous changes in metabolic profiles due to the execution of genomic information and external factors of biological activity. Therefore, metabolomics is imperative to the discovery of biomarkers and mechanisms associated with pathophysiological processes. In this study, we investigated metabolites changes in hospitalized patients with chronic schizophrenia compared to that in healthy controls, and examined the correlations between the metabolites and psychiatric symptoms. Patients and Methods: Thirty patients with schizophrenia and ten healthy controls participated in this study between September 2019 and June 2020. The mean duration of disease in patients with schizophrenia was 26 years. Clinical and neuropsychiatric symptoms of patients with schizophrenia were assessed using the Positive and Negative Syndrome Scale (PANSS). Metabolomics was conducted using Capillary Electrophoresis Fourier Transform Mass Spectrometry (CE-FTMS), using serum samples from patients with schizophrenia and healthy controls. Metabolomics assigned a candidate compound to the 446 (cation 279, anion 167) peaks. Hierarchical cluster analysis (HCA), principal component analysis (PCA), logistic regression analysis, receiver operating characteristic (ROC) analysis, and linear regression analysis were used to analyze the metabolites changes, identifying the disease and the relationship between metabolites and psychiatric symptoms. Results: HCA showed that approximately 60% of metabolites had lower peak values in patients with schizophrenia than in healthy controls. Glutamate metabolism and the urea cycle had the highest proportions in the metabolic pathway, which decreased in patients with schizophrenia. PCA showed a clear separation between patients with schizophrenia and healthy controls in the first principal component (the contribution ratio of the first principal component was 15.9%). Logistic regression analysis suggested that the first principal component was a predictor of disease (odds = 1.36, 95%CI = 1.11-1.67, p = 0.0032). ROC analysis showed a sensitivity of 93% and a specificity of 100% for the diagnosis of schizophrenia with a cut-off value of the first principal component; -3.33 (AUC = 0.95). We extracted the high factor loading for the first principal component. Gamma-glutamyl-valine (γ-Glu-Val) was significantly negatively correlated with PANSS total scores (r = -0.45, p = 0.012) and PANSS general scores (r = -0.49, p = 0.0055). Gamma-glutamyl-phenylalanine (γ-Glu-Phe) was significantly negatively correlated with PANSS total score (r = -0.40, p = 0.031) and PANSS general score (r = -0.41, p = 0.025). Tetrahydrouridine was significantly positively correlated with PANSS negative scores (r = 0.53, p = 0.0061). Conclusion: Metabolites changes in hospitalized patients with chronic schizophrenia showed extensive and generalized declines. Glutamate metabolism and the urea cycle had the highest proportions in the metabolic pathway, which decreased in the schizophrenia group. Metabolomic analysis was useful to identify chronic schizophrenia. Some glutamate compound metabolites had a relationship with psychiatric symptoms.