UPLC/Q-TOF-MS-based metabolomics and molecular docking analysis of Bifidobacterium adolescentis exposure to levofloxacin.

Antibiotic-associated diarrhea is a common adverse reaction caused by the widespread use of antibiotics. The decrease in probiotics is one of the reasons why antibiotics cause drug-induced diarrhea. However, few studies have addressed the intrinsic mechanism of antibiotics inhibiting probiotics. To investigate the underlying mechanism of levofloxacin against Bifidobacterium adolescentis, we used a metabolomics mass spectrometry-based approach and molecular docking analysis for a levofloxacin-induced B. adolescentis injury model. The results showed that levofloxacin reduced the survival rate of B. adolescentis and decreased the number of B. adolescentis. The untargeted metabolomics analysis identified 27 potential biomarkers, and many of these metabolites are involved in energy metabolism, amino acid metabolism and the lipid metabolism pathway. Molecular docking showed that levofloxacin can bind with aminoacyl-tRNA synthetase and lactic acid dehydrogenase. This result provides a novel insight into the mechanism of the adverse reactions of levofloxacin.

Metabolomics and molecular docking analysis of antibiotic exposure in Bifidobacterium adolescentis.

Bifidobacterium adolescentis is a probiotic. This research aimed to investigate the mechanism of antibiotics led to decrease in the number of B. adolescentis. The metabolomics approach was employed to explore the effects of amoxicillin on metabolism of B.adolescentis, while MTT assay and scanning electron microscopy were applied to analyse changes in viability and morphology of bacteria. Molecular docking was used to illuminate the mechanism by which amoxicillin acts on a complex molecular network. The results showed that increasing the concentration of amoxicillin led to a gradual decrease in the number of live bacteria. Untargeted metabolomics analysis identified 11 metabolites that change as a result of amoxicillin exposure. Many of these metabolites are involved in arginine and proline metabolism, glutathione metabolism, arginine biosynthesis, cysteine, and methionine metabolism, and tyrosine and phenylalanine metabolism. Molecular docking revealed that amoxicillin had a good binding effect on the proteins AGR1, ODC1, GPX1, GSH, MAT2A, and CBS. Overall, this research provides potential targets for screening probiotic regulatory factors and lays a theoretical foundation for the elucidation of its mechanisms.

Risk factors for linezolid - induced haematological toxicity in patients: a retrospective study.

INTRODUCTION: This single-center, observational cohort study aimed to investigate the risk factors associated with linezolid-induced hematological toxicity by analyzing the linezolid trough concentration (Cmin) obtained from patients undergoing treatment between January 2020 and December 2021. METHODOLOGY: A total of 111 eligible individuals were included in the study, of which 47 were diagnosed with linezolid-induced thrombocytopenia and 18 were diagnosed with linezolid-induced hemoglobin decrease. RESULTS: Binary logistic regression analysis revealed that creatinine clearance level (Ccr) < 50 mL/min/1.73 m2 (OR, 5.463; 95% CI, 1.249-23.888, p = 0.024) and Cmin > 7 mg/L (OR, 62.660; 95% CI, 14.293-274.708, p = 0.001) were risk factors associated with linezolid-induced thrombocytopenia. Area under the ROC curve for Cmin was 0.955, with a maximum Youden index of 0.837. The corresponding critical value was 6.94 mg/L (sensitivity 91.5%; specificity 92.2%). Ccr < 50 mL/min/1.73 m2 (OR, 7.282; 95% CI, 1.765-30.048, p = 0.006) and Cmin > 7mg/L (OR, 6.364; 95% CI, 1.937-20.910, p = 0.020) were found to be associated with linezolid-induced hemoglobin reduction. The area under the ROC curve for Cmin was 0.755, Youden index was 0.477 at the maximum, and the corresponding critical value was 7.53 mg/L (sensitivity 77.8%; specificity 69.9%). CONCLUSIONS: Renal insufficiency is a related risk factor for linezolid-induced hematological toxicity. Patients receiving linezolid treatment should be closely monitored with blood routine and plasma concentration, particularly in patients with moderate or severe renal insufficiency. The plasma trough concentration of linezolid could be a suitable predictor for linezolid-induced thrombocytopenia and anemia.

Integrated Gut Microbiota and Urine Metabolite Analyses of T2DM with NAFLD Rat Model.

Globally 80% type 2 diabetes mellitus (T2DM) patients suffer nonalcoholic fatty liver disease (NAFLD). The interplay of gut microbiota and endogenous metabolic networks has not yet been reported in the setting of T2DM with NAFLD. As such, this study utilized 16S rRNA gene sequencing to assess the changes in intestinal flora and nuclear magnetic resonance spectroscopy (1H NMR) to identify potential metabolites in a T2DM with NAFLD rat model. Spearman correlation analysis was performed to explore the relationship between gut microbiota and metabolites. Results revealed that among T2DM with NAFLD rats, diversity indexes of intestinal microbiota were distinctly decreased while levels of 18 bacterial genera within the intestinal tract were significantly altered. In addition, levels of eight metabolites mainly involved in the synthesis and degradation of ketone bodies, the TCA cycle, and butanoate metabolism were altered. Correlation analysis revealed that gut bacteria such as Blautia, Ruminococcus torques group, Allobaculum, and Lachnoclostridium strongly associate with 3-hydroxybutyrate, acetone, acetoacetate, 2-oxoglutarate, citrate, creatinine, hippurate, and allantoin. Our findings can provide a basis for future development of targeted treatments.

Integrating metabonomics and metagenomics sequencing to study the anti-liver fibrosis effects of palmatine in Corydalis saxicola Bunting.

ETHNOPHARMACOLOGICAL RELEVANCE: Corydalis saxicola Bunting (CS), a traditional Chinese folk medicine, has been effectively used for treating liver disease in Zhuang nationality in South China. However, the main anti-liver fibrosis ingredients in CS are incompletely understood. AIM OF THE STUDY: To elucidate the main anti-liver fibrosis ingredients in CS and its underlying mechanism. MATERIAL AND METHODS: Firstly, spectrum-effect relationship (SER) strategy was applied to identify the major ingredients against liver fibrosis in CS. Subsequently, 1H NMR metabonomics and metagenomics sequencing techniques were used to clarify the intervention of palmatine (PAL) on liver fibrosis. Furthermore, the expression of tight junction proteins and the levels of liver inflammation factors were examined, the effect of PAL on microbiota was verified by FMT. RESULTS: The SER model revealed that PAL was the most important active ingredient in CS. 1H NMR fecal metabonomics showed that PAL could reserve the abnormal levels of gut microbial-mediated metabolites of liver fibrosis, such as isoleucine, taurine, butyrate, propionate, lactate, glucose, which mainly involved in amino acid metabolism, intestinal flora metabolism and energy metabolism. Metagenomics sequencing found that PAL could callback the abundance of s__Lactobacillus_murinus, s__Lactobacillus_reuteri, s__Lactobacillus_johnsonii, s__Lactobacillus_acidophilus and s__Faecalibaculum_rodentium to varying degree. Furthermore, the intestinal barrier function and the levels of hepatic inflammation factors were significantly ameliorated by PAL. FMT demonstrated that the therapeutic efficiency of PAL was closely associated with gut microbiota. CONCLUSION: The effects of CS on liver fibrosis were attributed in part to PAL by alleviating metabolic disorders and rebalancing gut microbiota. The SER strategy may be a useful method for the discovery of active constituents in natural plants.

Urinary metabonomics study of anti-depressive mechanisms of Millettia speciosa Champ on rats with chronic unpredictable mild stress-induced depression.

As a traditional Chinese medicine (TCM), Millettia speciosa Champ (MSC), exerts a wide range of pharmacological activities. Our research group previously found that MSC has antidepressant effects, but the specific antidepressant mechanisms remain unclear. Therefore, in this study, urine metabolomics based on ultra-performance liquid chromatography/quadrupole time of flight mass spectrometry (UPLC-Q-TOF/MS) combined with pharmacodynamics was used to explore the pathogenesis of depression and the antidepressant effects of MSC. The results showed that MSC treatment could significantly improve chronic unpredictable mild stress (CUMS)-induced depression. Urine metabolic showed that the profiles of the CUMS model group were significantly separated from the control group, while the drug-treated groups were closer to the control group, especially the MSC group treated with a 14 g/kg dose of MSC. Furthermore, 9 metabolites, including glutaric acid, L-isoleucine, L-Dopa, sebacic acid, 3-methylhistidine, allantoin, caprylic acid, tryptophol, and 2-phenylethanol glucuronide, were identified as potential biomarkers of depression. Metabolic pathway analysis showed that these potential biomarkers were mainly involved in valine, leucine, and isoleucine biosynthesis, aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine degradation, tyrosine metabolism, histidine metabolism, fatty acid biosynthesis, and pentose and glucuronate interconversions. Through Receiver operating characteristic (ROC) analysis and Pearson correlation analysis, the combination of L-isoleucine, sebacic acid, and allantoin, were further screened out as potential pharmacodynamic biomarkers associated with the efficacy of MSC. This study suggests that the integration of metabolomics with pharmacodynamics helps to further understand the pathogenesis of depression and provides novel insight into the efficacy of TCM.