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Persistently activated signal transducer and activator of transcription 3 (STAT3) plays an important role in the development of multiple cancers, and therefore it is a potential therapeutic target for cancer treatment.

Hepatocellular carcinoma (HCC) is the terminal phase of multiple chronic liver diseases, and evidence supports chronic uncontrollable inflammation being one of the potential mechanisms leading to HCC formation. The dysregulation of bile acid homeostasis in the enterohepatic circulation has become a hot research issue concerning revealing the pathogenesis of the inflammatory-cancerous transformation process. We reproduced the development of HCC through an N-nitrosodiethylamine (DEN)-induced rat model in 20 weeks. We achieved the monitoring of the bile acid profile in the plasma, liver, and intestine during the evolution of “hepatitis-cirrhosis-HCC” by using an ultra-performance liquid chromatography-tandem mass spectrometer for absolute quantification of bile acids. We observed differences in the level of primary and secondary bile acids both in plasma, liver, and intestine when compared to controls, particularly a sustained reduction of intestine taurine-conjugated bile acid level. Moreover, we identified chenodeoxycholic acid, lithocholic acid, ursodeoxycholic acid, and glycolithocholic acid in plasma as biomarkers for early diagnosis of HCC. We also identified bile acid-CoA:amino acid N-acyltransferase (BAAT) by gene set enrichment analysis, which dominates the final step in the synthesis of conjugated bile acids associated with the inflammatory-cancer transformation process. In conclusion, our study provided comprehensive bile acid metabolic fingerprinting in the liver–gut axis during the inflammation-cancer transformation process, laying the foundation for providing a new perspective for the diagnosis, prevention, and treatment of HCC.

ATR kinase is essential to the viability of replicating cells responding to the accumulation of single-strand breaks in DNA, which is an attractive anticancer drug target based on synthetic lethality. Herein we design, synthesize, and evaluate a novel series of fused pyrimidine derivatives as ATR inhibitors. As a result, compound 48f, with an IC

The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of arsM needs more attention. Comamonadaceae is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of Vicinamibacteraceae, Nocardioidaceae, and Flavobacteriacea. The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health.

Objective: To analyze the factors affecting the early prognosis of patients undergoing repeat tricuspid valve surgery due to severe tricuspid regurgitation after left-sided valvular surgery. Method: We retrospectively analyzed 76 patients undergoing repeat tricuspid valve surgery due to severe tricuspid regurgitation after left-sided valvular surgery at Peking University International Hospital between October 2017 and February 2021. Patients were divided into two groups, according to preoperative weight control and whether the adjusted diuretic dose exceeded 40 mg of furosemide (or the equivalent dose). The factors affecting the early prognosis were analyzed through postoperative follow up. Results: Thirty-five male patients (46.1%), aged 57±13 years, were enrolled in the study. For the patients who received a preoperative same dose of furosemide ≥40 mg/day and a same dose of furosemide

The pharmacological inhibition of soluble epoxide hydrolase (sEH) was shown to reduce inflammation and pain. Herein, we described a series of newly synthesized sEH inhibitors with the trident-shaped skeleton. Intensive structural modifications led to the identification of compound B15 as a potent sEH inhibitor with an IC

The elevation of epoxy-fatty acids through inhibition of soluble epoxide hydrolase (sEH) is efficient for the treatment of inflammatory and pain-related diseases. Herein, we reported the discovery of a series of benzamide derivatives containing urea moiety as sEH inhibitors. Intensive structural modifications led to the identification of compound A34 as a potent sEH inhibitor with good physicochemical properties. Molecular docking revealed an additional hydrogen-bonding interaction between the unique amide scaffold and Phe497, contributing to sEH inhibition potency enhancement. Compound A34 exhibited outstanding inhibitory activity against human sEH, with an IC

The unavailability of adequate lipid reference standards is a major challenge for accurate quantitative analysis of lipidomics. Based on the discovery of regularity and predictability for lipids in chromatography-mass spectrometry behaviors, "target compound-structure correlation-analytical parameter database" protocol and "modeling-prediction" strategy were carried out to calculate the relative coefficients of analytical parameters within each subclass. Then the relevant LC-tandem-MS parameters of unknown lipids were predicted and a quantification parameter database for 4081 lipids was established and validated. Reference standards-independent accurate determination for lipidomics was achieved with the parameter's database and applied to monitor the change of lipid metabolism in the plasma of whole course of health-hepatitis-cirrhosis-hepatocellular carcinoma (HCC). Combined Student's t test, orthogonal partial least squares discrimination analysis (OPLS-DA) and binary logistic regression-ROC analysis, lipid biomarkers for differentiating health from each disease and differentiating different stages of disease were identified and the pathogenesis of HCC was preliminarily clarified. The established methodology would shed light on comprehensive and accurate quantitative lipidomics and exploring the pathomechanism and potential therapeutic targets of HCC.

Recent studies have shown that dysregulation of carboxyl submetabolome homeostasis is closely related to the occurrence and development of hepatocellular carcinoma (HCC). However, it is still a challenge to quantify carboxyl metabolites with high efficiency by conventional methods due to their species diversity and nature differences. Moreover, there are few studies on carboxyl submetabolome profiling during the whole progression of HCC. In this study, a convenient and efficient workflow for absolute quantification of carboxyl submetabolome was established based on the 4-(diethylamino)-butylamine (DEABA)-labeled polarity-response-homodispersed strategy. After optimizing derivation conditions with response surface methodology (RSM), the reaction only needed 1 min at room temperature, which radically simplified the labeling process. Compared with nonderivatization, the gaps of polarities and responses of the analytes were narrowed by DEABA labeling, realizing the polarity-response-homodispersion. Then resolution and sensitivity in HPLC-MS/MS were improved significantly. Ultimately, the workflow was applied to monitor carboxyl metabolic profile in human plasma of the whole progressive course of hepatocellular carcinoma. Combined with analysis of variance (ANOVA), orthogonal partial least squares discrimination analysis (OPLS-DA), Bayesian linear discriminant analysis (BLDA) and other data mining methods, the biomarkers of "health-hepatitis-cirrhosis-HCC" were screened out, and the diagnostic model was established. Furthermore, the relevancy between carboxyl submetabolome disorders and the pathogenesis of HCC was investigated. The developed method has the characteristics of high sensitivity, high coverage and high practicability, which is suitable for the study of biomarkers of carboxyl submetabolome in the whole progression of HCC.