A bibliometric and visualized analysis of liver fibrosis from 2002 to 2022.

Fibrosis of the liver is a degenerative alteration that occurs in the majority of chronic liver disorders. Further progression can lead to cirrhosis, liver failure, and hepatocellular carcinoma, which can seriously affect the health and lives of patients. The field of liver fibrosis research has flourished in the last 20 years, with approximately 9000 articles retrieved from the Web of Science Core Collection database alone. In order to identify future research hotspots and potential paths in a thorough and scientifically reliable manner, it is important to organize and visualize the research on this topic from a holistic and very general perspective. This study used bibliometric analysis with CiteSpace and VOSviewer software to provide a quantitative analysis, hotspot mining, and commentary of articles published in the field of liver fibrosis over the last 20 years. This bibliometric analysis contains a total of 8994 articles with 45667 authors from 6872 institutions in 97 countries, published in 1371 journals and citing 156 309 references. The literature volume has steadily increased over the last 20 years. Research has focused on gastroenterology and hepatology, pharmacology and pharmacy, and medicine, research, and experimental areas. We found that the pathological mechanisms, diagnostic and quantitative methods, etiology, and antifibrotic strategies constitute the knowledge structure of liver fibrosis. Finding mechanisms for liver fibrosis regression, identifying precise noninvasive diagnostic and prognostic biomarkers, and creating efficient liver fibrosis patient treatments are the main goals of current research.

A metabolomic study based on accurate mass and isotopic fine structures by dual mode combined-FT-ICR-MS to explore the effects of Rhodiola crenulata extract on Alzheimer disease in rats.

A metabolomic strategy based on accurate mass and isotopic fine structures (IFSs) by dual mode combined-Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) was established to explore the effects of Rhodiola crenulata extract (RCE) on Alzheimer disease (AD) in rats. Experimental AD model was induced in rats by bilateral hippocampal injection of Aß1-42, and Morris water maze task (MWM) was used to evaluate the effects of RCE on AD. Subsequently, the metabolomic study was performed using HPLC-FT-ICR-MS, fraction collector and direct infusion (DI)-FT-ICR-MS to screen and identify the potential biomarkers. A total of 20 metabolites contributing to AD progress were identified, and 17 metabolites of them were restored to the control-like levels after RCE treatment (daily dose: 2.24 g/kg). The metabolic pathway analysis revealed that the disturbed pathways including tryptophan metabolism, sphingolipid metabolism and glycerophospholipid metabolism in AD model rats were regulated after high dose RCE application. It is the first time that the dual mode combined-FT-ICR-MS based metabolomic strategy was applied to biochemically profile the serum metabolic pathways of AD rats affected by RCE. These outcomes provide reliable evidence to illuminate the biochemical mechanisms of AD and facilitate investigation of the therapeutic benefits of RCE in AD treatment. Notably, it indicated that the developed method based on accurate mass and IFSs has sufficient performance for identification of biomarkers in metabolomic studies.

Characterization of global metabolic profile of Rhodiola crenulata after oral administration in rat plasma, urine, bile and feces based on UHPLC-FT-ICR MS.

Rhodiola crenulata has been widely used as a health food, antifatigue and antidepressant in China and many other countries for centuries. However, to date the metabolism of it in vivo still remains unclear. In this study, UHPLC-FT-ICR MS was used to analyze the major components and their metabolites in rats after oral administration of Rhodiola crenulata for the first time. A total of 179 constituents, including 37 prototype compounds and 142 metabolites (89 phase I metabolites and 53 phase II metabolites) were tentatively identified. The metabolic pathways included hydroxylation, deglycosylation, dehydrogenation, glucuronidation and sulphate conjugation. In summary, this study showed an insight into the metabolism of Rhodiola crenulata in vivo, which may provide helpful chemical information for better understanding the multiple functions of it. And also, the developed method could be used as a reliable strategy to study the metabolic profile for other traditional chinese medicines.