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Rheumatoid arthritis (RA) is a persistent autoimmune condition with no identified cure currently. Recently, scientists have applied metabolomics to investigate altered metabolic profiles and unique diseases-associated metabolic signatures. Herein, we applied metabolomics approach to analyze serum samples of 41 RA patients and 42 healthy controls (HC) with the aim to characterize RA patients' metabolic profile, investigate related underlying pathological processes, and identify target metabolites. By utilizing ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry, we found 168 proposed metabolites and 45 vital metabolic pathways. Our analysis revealed that deoxyinosine (DI), a metabolite of the purine metabolic pathway, was the most significant reduced metabolite in RA patients. Furthermore, through targeted detection, we confirmed lower concentration of DI in RA patients' peripheral blood. Moreover, DI inhibited lipopolysaccharide-induced inflammation both in vitro and in vivo. We further assessed DI's therapeutic potential in a collagen-induced arthritis (CIA) murine model. The results revealed that DI attenuated CIA, as evidenced by significantly lowered clinical scores of arthritis, alleviated joint swelling, and mitigated bone destruction. Moreover, we elucidated the underlying mechanism by which DI increased the population of myeloid-derived suppressor cells (MDSCs) and suppressed the proliferation of induced T cells. Collectively, these findings suggested that DI potentially ameliorated RA by inducing immunosuppressive MDSCs. The study provides key observations on RA pathogenesis and may contribute to developing novel therapeutic strategies for this debilitating condition.
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Objective: To assess the key factors influencing the effectiveness of nirmatrelvir/ritonavir in treating elderly patients with COVID-19. Methods: This study was conducted on patients aged ≥60 who were admitted to the Second Affiliated Hospital of Soochow University for COVID-19 infection and were treated with nirmatrelvir/ritonavir. Clinical information was collected from patients and steady-state blood concentrations of nirmatrelvir and ritonavir were measured. Factors associated with treatment effects were searched by univariate and multivariate analysis. Results: A total of 68 (51 males and 17 females) patients had a median age of 80 (73.0-84.8) years were enrolled in this study. The blood concentration measurements (trough concentrations) of nirmatrelvir and ritonavir were 5.1 (2.6-7.1) and 0.4 (0.2-0.9) µg/mL, respectively. Adverse drug reaction was reported in 4 (5.9%) patients. Univariate analysis showed that age, clinical classification, APACHE II score, total bilirubin (TBil), aspartate transaminase (AST), lactate dehydrogenase (LDH), and total cholesterol (TC) were significantly associated with the effectiveness of treatment (P value <0.05). Concentration of nirmatrelvir was also associated with treatment outcome (P value <0.1). Based on the results of univariate analysis, the above factors were introduced into the multiple linear regression equation as independent variables, and the results showed that clinical classification was included in the regression equation model and was the most important factor affecting the treatment outcome. By receiver operating characteristic curve analysis, the area under curve of age + biochemical indicators + APACHE II score + clinical classification was 0.968 (95% CI = 0.919-1.000; P <0.0001). Among the 68 patients included in the study, 4 cases experienced adverse drug reactions. Conclusion: Age, clinical classification, APACHE II score, TBil, AST, LDH, and TC were significantly associated with the effectiveness of treatment in elderly patients with COVID-19.
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Background: Chidamide (CHI) is a subtype-selective histone deacetylase inhibitor (HDACI) developed in China and approved as a second-line treatment combined with the aromatase inhibitor for hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer. However, drug resistance is commonly occurred after a long period of medication. This study aimed to investigate the characterization of induced resistance to CHI and explore the potential cross-resistance to chemotherapeutic agents. Methods: CHI with gradually increasing concentrations was added to breast cancer MCF7 cells to establish a CHI-resistant MCF7 (MCF7-CHI-R) cell line. Cell counting kit-8 (CCK-8) assays were performed to detect half-maximal inhibitory concentration (IC50) of CHI. Colony formation was used to determine the proliferation inhibition rate. Western blot analysis was conducted to detect expressions of protein related with cell cycle, apoptosis, ferroptosis, and histone deacetylase (HDAC). Flow cytometry was used to analyze apoptosis and cell cycle. Results: The IC50 value of CHI of MCF7-CHI-R cells was increased in comparison with MCF7 cells. And CHI led to cell cycle arrest and ferroptosis, which were not exhibited in MCF7-CHI-R cells. Moreover, HDAC activity decreased in MCF7-CHI-R cells in comparison with MCF7 cells, and HDAC1 and HDAC10 might be involved in the resistance to CHI. In addition, MCF7-CHI-R cells were resistant to gemcitabine (GEM), doxorubicin (ADM), docetaxel (DXT), albumin-bound paclitaxel (nab-PTX) and paclitaxel (PTX). Conclusions: The MCF7-CHI-R was established and the anti-ferroptosis pathway activation was involved in the resistance of MCF-CHI-R cells. Also, MCF7-CHI-R cells were resistant to GEM, ADM, DXT, nab-PTX and PTX.
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Abstract Fluoroquinolones are an important class of antimicrobial agents to manage infectious diseases. However, knowledge about how host bile acids are modified by fluoroquinolones is limited. We investigated and compared the impact of fluoroquinolones on circulating bile acid profiles and gut microbiota from in vivo studies. We administered ciprofloxacin (100 mg/kg/day) or moxifloxacin (40 mg/kg/day) orally to male Wistar rats for seven days. Fifteen bile acids (BAs) from the serum and large intestine were quantified by HPLC-MS/MS. The diversity of gut microbiota after ciprofloxacin and moxifloxacin treatment was analyzed using high-throughput, next-generation sequencing technology. The two fluoroquinolone-treated groups had different BA profiles. Ciprofloxacin significantly reduced the hydrophobicity index of the BA pool, reduced secondary BAs, and increased taurine-conjugated primary BAs in both the serum and large intestine as compared with moxifloxacin. Besides, ciprofloxacin treatment altered intestinal microbiota with a remarkable increase in Firmicutes to Bacteroidetes ratio, while moxifloxacin exerted no effect. What we found suggests that different fluoroquinolones have a distinct effect on the host BAs metabolism and intestinal bacteria, and therefore provide guidance on the selection of fluoroquinolones to treat infectious diseases.