Identification of new biomarkers may help in the early diagnosis of inflammatory bowel disease (IBD). In this study, ultrahigh-performance liquid chromatography equipped with quadrupole time-of-flight mass spectrometry (UPLC−QTOF-MS) was used to analyze the untargeted lipidomics and compare plasma lipid profiles between IBD patients and control subjects. The principal component analysis and partial least-squares-discriminant analysis were carried out to distinguish IBD patients from control subjects. Using univariate and multivariate analysis, 55 significantly different metabolites from five lipid classes, fatty acyls (n = 19), glycerophospholipids (n = 5), prenol lipids (n = 10), sphingolipids (n = 2), and sterol lipids (n = 19) were identified. Forty-four of the 55 metabolites were analyzed by receiver operating characteristic (ROC) curve and area under curve (AUC) of >0.80. After validation in an independent cohort, IBD patients were differentiated from the control subjects by significantly altered plasma level of palmitic acid, 7alpha, 25-dihydroxycholesterol, 20-hydroxyeicosatetraenoic (HETE)-d6, (+/−)5,6-epoxyeicosatrienoic acid (EpETrE), docosahexaenoic acid (DHA), 9-heptadecylenic acid, lactucaxanthin, α-carotene, traumatic acid, and neoquassin with both sensitivity and specificity above 80%. Pathway analysis suggested that IBD dysregulation was related to the biosynthesis of primary bile acid, the metabolism of arachidonic acid, the metabolism of sphingolipid, fatty acid elongation, and glycerophospholipid metabolism. Our results suggest that the lipidomic profiling of patients plasma could be a potential method for IBD diagnosis.
This study aims to identify biomarkers for evaluating the therapeutic efficacy of mesalazine on ulcerative colitis by metabolomics and lipidomics. A dextran sulfate sodium-induced mouse model was used. The disease status was assessed by a disease activity index, the TNF-α level of colon was measured by an enzyme-linked immunosorbent assay, and the pathological changes of colon tissue was examined by hematoxylin−eosin staining. Serum metabolomics and lipidomics analysis based on ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry were applied to decipher the metabolic profile changes. Multivariate analysis was applied to differentiate the metabolites of controls, models, and mesalazine-treated mice. By the receiver operating characteristic (ROC) analysis, 40 differential metabolites with an area under curve (AUC) >0.80 were screened out between control and model groups. Among them, four potential biomarkers (palmitoyl glucuronide, isobutyrylglycine, PC (20:3 (5Z, 8Z, 11Z)/15:0) and L-arginine) had a signficantly reversed level of peak areas in the mesalazine group, and three of them were closely correlated with mesalazine efficacy by linear regression analysis. Furthermore, metabolic pathway analysis revealed several dysregulated pathways in colitis mice, including glycerophospholipid metabolism, pyrimidine metabolism, linoleic acid metabolism, arginine biosynthesis, etc. This study indicates that serum metabolomics is a useful approach that can noninvasively evaluate the therapeutic effect and provide unique insights into the underlying mechanism of mesalazine.
Vortioxetine is a multimodal antidepressant that has been recently utilized globally. Vortioxetine hemi‐hydrochloride is a novel salt that was previously reported in our research. However, the pharmacokinetics of this salt and the metabolites of Vortioxetine in vivo remain unknown. In this study, the pharmacokinetics of the Vortioxetine hemi‐hydrochloride salt is explored in rats through a newly developed ultra‐performance liquid chromatography with tandem mass spectrometry method. In addition, ultra‐performance liquid chromatography coupled with quadrupole time of flight mass spectrometry was used to identify the metabolites of Vortioxetine in vivo. The results demonstrate that after a single, 3 mg/kg oral dose, the maximum concentration for the Vortioxetine hemi‐hydrochloride salt is 14.63 ± 4.00 ng/mL, and is attained in 1.00∼4.00 h. The area under the plasma concentration‐time curve from time 0 to 24 h is 67.30 ± 23.78 ng·h·mL−1. Additionally, 29 metabolites were identified after the oral administration of 10 mg/kg, including 17 metabolites in the plasma, nine in the urine, and 12 in the feces. Eleven metabolites were novel. The major metabolic pathways include methylation, hydroxylation, oxidation, and glucuronidation. In conclusion, this study provides insight for further development of the Vortioxetine hemi‐hydrochloride salt.
Two azilsartan–piperazine salt solvates and a monohydrate feature crystal structural diversity and improve the azilsartan solubility over that of the free Az form. Az–Pz·EtOH and Az–Pz·H2O improve the plasma azilsartan concentration Cmax and AUC over the free Az form.
A potent xanthine oxidoreductase inhibitor (LS087) was recently proved to exhibit a similar hypouricemic potency to febuxostat. A hyperuricemia model induced by potassium oxonate and hypoxanthine was proposed in specific pathogen‐free male Kunming mice, and the serum urea nitrogen, creatinine and uric acid levels were measured after oral administration of LS087. Furthermore, renal histopathology was conducted by staining with hematoxylin and eosin, periodic acid–Schiff and Masson's trichrome stains, respectively. The results showed that the levels of serum urea nitrogen and uric acid significantly decreased compared with the model group, but the level of creatinine showed no significant changes. The pathological abnormalities in kidney tubules were improved after LS087 administration. Ten metabolites (M1–M10) of LS087 were identified after a single oral dosing of 10 mg/kg in rats. M6 was the primary LS087 metabolite in vivo with a pathway of methylation. The toxicity and potential risks of LS087 and its metabolites were predicted using the ProTox‐II software. LS087 and the major metabolites (M2, M3, M5, M6, M7 and M8) were predicted to have no potential hepatotoxicity, but some metabolites with a total rate of <1% (M1, M4, M9, and M10) showed potential hepatotoxicity. M1 and M8 showed potential carcinogenicity. The LS087 biotransformation pathway in rat was well characterized.
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