Cardiovascular diseases ( CVDs ) are the leading cause of death worldwide and pose a serious threat to human health. Silent information regulator 5 ( SIRT5 ) , which is widely distributed in cardiac myocytes, vascular smooth muscle cells and endothelial cells,as a novel deacylation-modifying enzyme,plays an important role in CVDs through deacetylation, desuccinylation and demalonylation. This review summarizes the pathophysiolog-ical mechanism of SIRT5 from the aspects of energy metabolism, regulation of inflammatory response and oxidative stress, apart from the role of SIRT5 in CVDs such as myocardial infarction, myocardial hypertrophy, arrhythmia, atherosclerosis and heart failure. This review also figures out the current research progress of SIRT5 -related inhibitors and agonists, so as to provide strategies for targeting SIRT5 to prevent and treat CVDs.

To investigate the expression of serine metabolism related genes and inflammatory relat-ed genes in CD4+T cells of healthy and cows with ketosis.Firstly,CD4+T cells in peripheral blood of dairy cows were isolated by magnetic bead sorting.Second,expression of serine metabolism re-lated genes PHGDH,PAST1,PSPH,SHMT1,SHMT2,SDS,SFXN1 and inflammation related genes IL-6,IFN-γ,IL-17A,FOXP3,IL-10,TGF-β in CD4+T cells in healthy and ketosis cows was detected by fluorescence quantitative PCR.The transcription levels of PHGDH,PAST1 and PSPH in CD4+T cells of ketosis cows were significantly increased compared with healthy cows(P＜0.01),the transcription level and translation level of SDS were significantly increased(P＜0.01).The transcription levels of SHMT2 were significantly decreased(P＜0.05).Transcription and translation levels of SFXN1 were significantly decreased(P＜0.05).The transcription level of SHMT1 was decreased but not significantly.Compared with healthy cows,the transcription levels of IL-6,IFN-γ and IL-17A in CD4+T cells of ketosis cows were significantly increased(P＜0.01),the transcription levels of IL-10,TGF-β and FOXP3 were significantly decreased(P＜0.05).The results showed that the expression of genes related to serine synthesis increased,the expression of genes related to serine decomposition decreased,the expression of pro-inflammatory factors increased,and the expression of anti-inflammatory factors decreased,suggesting that serine metab-olism plays an important role in the inflammatory process of dairy cows.

Liver ischemia-reperfusion injury (IRI) is a significant factor contributing to liver dysfunction following surgical procedures such as liver transplantation and hepatectomy, and its pathogenesis is closely associated with oxidative stress and immune responses. However, effective prevention and therapeutic strategies are still lacking. Short-chain fatty acids (SCFAs), primarily produced by the fermentation of gut microbiota, are the major source of these acids in the human body. Research has indicated that SCFAs play a significant role in oxidative stress and immune response. This review primarily focuses on the advancements on the role of SCFAs, the main metabolic byproducts of gut microbiota, in liver IRI, with a view to provide insights for the development of prevention and treatment strategies for liver IRI.

The review focuses upon the mechanism of exosome derived from mesenchymal stem cells in hepatic ischemia-reperfusion injury(IRI)to provide references for clinical application of exosomes in alleviating hepatic IRI.

Ligustrum lucidum is a woody perennial plant of genus Ligustrum in family Oleaceae. Its dried fruit has high medicinal value. In this study, the authors evaluated the variability and species identification efficiency of three specific DAN barcodes(rbcL-accD, ycf1a, ycf1b) and four general DAN barcodes(matK, rbcL, trnH-psbA, ITS2) for a rapid and accurate molecular identification of Ligustrum species. The results revealed that matK, rbcL, trnH-psbA, ITS2 and ycf1a were inefficient for identifying the Ligustrum species, and a large number of insertions and deletions were observed in rbcL-accD sequence, which was thus unsuitable for development as specific barcode. The ycf1b-2 barcode had DNA barcoding gap and high success rate of PCR amplification and DNA sequencing, which was the most suitable DNA barcode for L. lucidum identification and achieved an accurate result. In addition, to optimize the DNA extraction experiment, the authors extracted and analyzed the DNA of the exocarp, mesocarp, endocarp and seed of L. lucidum fruit. It was found that seed was the most effective part for DNA extraction, where DNAs of high concentration and quality were obtained, meeting the needs of species identification. In this study, the experimental method for DNA extraction of L. lucidum was optimized, and the seed was determined as the optimal part for DNA extraction and ycf1b-2 was the specific DNA barcode for L. lucidum identification. This study laid a foundation for the market regulation of L. lucidum.
Ligustrum/genetics* ; Seeds ; Fruit ; Polymerase Chain Reaction ; Research Design

Ultra-performance liquid chromatography-quadrupole time of fight/mass spectrometry(UPLC-Q-TOF-MS) and UNIFI were employed to rapidly determine the content of the components in Liangxue Tuizi Mixture. The targets of the active components and Henoch-Schönlein purpura(HSP) were obtained from SwissTargetPrediction, Online Mendelian Inheritance in Man(OMIM), and GeneCards. A "component-target-disease" network and a protein-protein interaction(PPI) network were constructed. Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed for the targets by Omishare. The interactions between the potential active components and the core targets were verified by molecular docking. Furthermore, rats were randomly assigned into a normal group, a model group, and low-, medium-, and high-dose Liangxue Tuizi Mixture groups. Non-targeted metabolomics was employed to screen the differential metabolites in the serum, analyze possible metabolic pathways, and construct the "component-target-differential metabolite" network. A total of 45 components of Liangxue Tuizi Mixture were identified, and 145 potential targets for the treatment of HSP were predicted. The main signaling pathways enriched included resistance to epidermal growth factor receptor tyrosine kinase inhibitors, phosphatidylinositol 3-kinase/protein kinase B(PI3K-AKT), and T cell receptor. The results of molecular docking showed that the active components in Liangxue Tuizi Mixture had strong binding ability with the key target proteins. A total of 13 differential metabolites in the serum were screened out, which shared 27 common targets with active components. The progression of HSP was related to metabolic abnormalities of glycerophospholipid and sphingolipid. The results indicate that the components in Liangxue Tuizi Mixture mainly treats HSP by regulating inflammation and immunity, providing a scientific basis for rational drug use in clinical practice.
Animals ; Rats ; IgA Vasculitis/drug therapy* ; Network Pharmacology ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Metabolomics