Objective To investigate the differences of HCV infection rates among blood donors of different Chinese nationalities.Methods Anti-HCV results from more than 300000 blood donors of 41 nationalities from 8 provinces or autonomous regions were investigated and analyzed.Serum anti-HCV antibody was tested by ELISA.Results(1)The anti-HCV prevalence rate was 0.98%(676/68782) among first time blood donors;0.71%(1750/245137) among repeated donors;and the overall anti-HCV prevalence rate among all the blood donors was 0.77%(2426/313919).The anti-HCV prevalence rate was higher among first time donors,compared to repeated donors(P

Hepatic encephalopathy is a clinical syndrome of central nervous system dysfunction caused by liver insufficiency.It severely affects the quality of life of patients and may lead to death.Accurate prediction of the risk of developing hepatic encephalopathy is crucial for early intervention and treatment.In order to identify the risk of hepatic encephalopathy in patients in advance,many studies have been devoted to efforts to develop tools and methods to identify the risk of hepatic encephalopathy as early as possible,so as to develop preventive and early management strategies.Most conventional hepatic encephalopathy risk prediction models currently assess the prob-ability of a patient developing hepatic encephalopathy by analysing factors such as clinical data and biochemical indicators,however,their accuracy,sensitivity and positive predictive value are not high.The application of artificial intelligence to clinical predictive modelling is a very hot and promising area,which can use large amounts of data and complex algorithms to improve the accuracy and efficiency of diagnosis and prognosis.To date,there have been few studies using AI techniques to predict hepatic encephalopathy.Therefore,this paper reviews the research progress of hepatic encephalopathy risk prediction models,and also discusses the prospect of AI application in hepatic encephalopathy risk prediction models.It also points out the challenges and future research directions of AI in HE risk prediction model research in order to promote the development and clinical application of hepatic encephalopathy risk prediction models.

Objective:To explore the role and relationship between oxidative stress and immune infiltration in idiopathic pul-monary fibrosis(IPF),and to predict the relevant therapeutic herbal medicines and active ingredients.Methods:GSE10667 gene expression profiles were downloaded from GEO database to obtain differential expression genes,differential expression of oxidative stress genes(DEOSGs)were identified in combination with oxidative stress genes.GSEA was used to evaluate the pathways and biologi-cal processes in IPF,and GO,KEGG and PPI network analysis were performed on DEOSGs.Candidate central genes were derived from PPI results and CytoHubba,and GSE110147 was validated as an independent group to identify central genes;in addition,the immune microenvironment of samples was evaluated using CIBERSORTF,and correlation between central gene levels and relative proportion of immune cells was explored;finally,therapeutic herbal medicines and components were predicted by central genes,and mole-cular docking verification was carried out.Results:A total of 51 DEOSGs,four central genes(ICAM-1,APOE,MMP-1,TGF-β2)were obtained;DEOSGs were mainly related to oxidative stress,immune response,etc;four central gene levels were closely correlated with 8 relative proportions of immune cells;therapeutic herbal medicines included 4 flavors such as Huangqi and Chuanxiong,and the active ingredients included 8 kinds of β-carotene,etc,the molecular docking results were stable.Conclusion:Oxidative stress and immune firing are exist in IPF,and oxidative stress may be recognized by immune cells or directly activate immune cells.

Objective To explore basement membrane markers and potential drugs for treatment in idiopathic pulmona-ry fibrosis(IPF).Methods IPF-related datasets were downloaded from the Gene Expression Omnibus(GEO)database,processed to construct basement membrane gene expression matrices associated with IPF,and screened for differential basement membrane genes(DEBMs);DEBMs were enriched for function and pathways,and machine learning algorithms were used to ob-tain candidate signature genes,receiver operating characteristic(ROC)curves were used to identify signature genes and con-struct a nomogram.We performed ssGSEA analysis to explore the correlation between signature genes and immune cells and their functions and predicted the corresponding miRNAs and therapeutic drugs by signature genes.Results A total of 56 DEBMs were extracted;enrichment analysis showed that DEBMs were mainly enriched in"extracellular matrix tissue","extracellular structural tissue",etc.,and were closely related to"ECM-receptor interaction"and"local adhesion spot"pathways.The ma-chine learning has identified six candidate signature genes(TIMP3,P3H2,ITGA7,ITGA4,ADAMTS2,COL8A2),all of which meet the requirements of the signature genes by the ROC curve test,and the nomogram diagnostic value was outstanding(AUC=0.991 523);B cells and Macrophages in IPF were significantly different from the normal group.Finally,miRNAs were predicted to be dominated by miR-4305,miR-3684,progesterone,and tert-butyl hydroperoxide as therapeutic agents with strong relevance to IPF.Conclusion Signature genes and predictive miRNAs may serve as novel markers for IPF diagnosis,and pre-dictive drugs may be a potential source of drugs for treating IPF.

ObjectiveThe lung mesenchymal stem cells （LMSCs） induced by D-galactose （D-gal） were intervened by Wenfei Huaxian decoction-containing serum to explore the mechanism of Wenfei Huaxian decoction in delaying the senescence of LMSCs through the nicotinamide phosphoribosyltransferase/silent information regulator 1 （NAMPT/SIRT1） signaling pathway. MethodWenfei Huaxian decoction-containing serum was prepared. LMSCs were isolated by gradient density centrifugation， and they were cultured and identified in vitro. The senescence model in vitro was established by stimulating cells via D-gal for 24 h. LMSCs cells were modeled after being treated with different volume fractions （5%， 10%， 20%， 40%， and 80%） of Wenfei Huaxian decoction-containing serum for 24 h， and the cell proliferation level was detected by methyl thiazolyl tetrazolium （MTT） method. The cells were randomly divided into blank serum group， model group， and high， medium， and low dose groups of Wenfei Huaxian decoction-containing serum. Senescence-associated β-galactosidase （SA-β-gal） staining was used to detect the senescence of LMSCs in each group. The content of NAD + was detected by colorimetry. The levels of senescence-associated factors （p16 and p53）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） in cell culture supernatant were detected by enzyme-linked immunosorbent assay （ELISA）. Western blot was used to detect the relative expression of senescence-associated proteins and NAMPT/SIRT1 signaling pathway-related proteins. ResultCompared with the blank serum group， the proliferation of LMSCs was significantly inhibited after D-gal stimulation for 24 h （P<0.01）. Compared with the model group， the proliferation of LMSCs could be promoted after intervention with the corresponding Wenfei Huaxian decoction-containing serum （P<0.05， P<0.01）. Compared with the blank serum group， the SA-β-gal staining of LMSCs in the model group after D-gal stimulation was enhanced， and the content of NAD⁺ was increased （P<0.01）. The expression levels of senescence factors p16 and p53， as well as SASP pro-inflammatory factors IL-6 and TNF-α in the cell culture supernatant， were significantly increased （P<0.01）. The expression of senescence-associated proteins p16， p21， and p53 increased （P<0.01）， and the protein expression of NAMPT， SIRT1， peroxisome proliferator-activated receptor γ coactivator 1α （PGC-1α）， and forkhead box family transcription factor O1 （FoxO1） decreased （P<0.01）. Compared with the model group， the SA-β-gal staining of LMSCs in each group of Wenfei Huaxian decoction-containing serum was significantly reduced， and the content of NAD⁺ was decreased （P<0.01）. The senescence factors （p16 and p53） and inflammatory factors （IL-6 and TNF-α） in the cell culture supernatant were significantly decreased （P<0.01）. The expression of senescence-associated proteins （P16， P21， and P53） decreased （P<0.05， P<0.01）. The protein expressions of NAMPT， SIRT1， PGC-1α， and FoxO1 were significantly up-regulated （P<0.05， P<0.01）. ConclusionWenfei Huaxian decoction can alleviate senescence and inflammatory response damage of D-gal-induced LMSCs， and its mechanism may be related to the regulation of the NAMPT/SIRT1 signaling pathway.

Idiopathic pulmonary fibrosis （IPF）， as a progressive lung disease， has a poor prognosis and no reliable and effective therapies. IPF is mainly treated by organ transplantation and administration of chemical drugs， which are ineffective and induce side effects， failing to meet the clinical needs. Therefore， developing safer and more effective drugs has become an urgent task， which necessitates clear understanding of the pathogenesis of IPF. The available studies about the pathogenesis of IPF mainly focus on macrophage polarization， epithelial-mesenchymal transition （EMT）， oxidative stress， and autophagy， while few studies systematically explain the principles and links of the pathogeneses. According to the traditional Chinese medicine theory， Qi deficiency and blood stasis and Qi-Yang deficiency are the key pathogeneses of IPF. Therefore， the Chinese medicines or compound prescriptions with the effects of replenishing Qi and activating blood， warming Yang and tonifying Qi， and eliminating stasis and resolving phlegm are often used to treat IPF. Modern pharmacological studies have shown that such medicines play a positive role in inhibiting macrophage polarization， restoring redox balance， inhibiting EMT， and regulating cell autophagy. However， few studies report how Chinese medicines regulate the pathways in the treatment of IPF. By reviewing the latest articles in this field， we elaborate on the pathogenesis of IPF and provide a comprehensive overview of the mechanism of the active ingredients or compound prescriptions of Chinese medicines in regulating IPF. Combining the pathogenesis of IPF with the modulating effects of Chinese medicines， we focus on exploring systemic treatment options for IPF， with a view to providing new ideas for the in-depth study of IPF and the research and development of related drugs.