Baseline metabolites could predict responders with hepatitis B virus-related liver fibrosis for entecavir or combined with FuzhengHuayu tablet

BACKGROUND After receiving entecavir or combined with FuzhengHuayu tablet(FZHY)treatment,some sufferers with hepatitis B virus(HBV)-related liver fibrosis could achieve a histological improvement while the others may fail to improve even worsen.Serum metabolomics at baseline in these patients who were effective in treatment remain unclear.AIM To explore baseline serum metabolites characteristics in responders.METHODS A total of 132 patients with HBV-related liver fibrosis and 18 volunteers as healthy controls were recruited.First,all subjects were divided into training set and validation set.Second,the included patients were subdivided into entecavir responders(E-R),entecavir no-responders(E-N),FZHY+entecavir responders(FR),and FZHY+entecavir no-responders(F-N)following the pathological histological changes after 48 wk’treatments.Then,Serum samples of all subjects before treatment were tested by high performance liquid chromatographytandem mass spectrometry(LC-MS)high-performance LC-MS.Data processing was conducted using multivariate principal component analysis and orthogonal partial least squares discriminant analysis.Diagnostic tests of selected differential metabolites were used for Boruta analyses and logistic regression.RESULTS As for the intersection about differential metabolic pathways between the groups E-R vs E-N and F-R vs F-N,results showed that 4 pathways including linoleic acid metabolism,aminoacyl-tRNA biosynthesis,cyanoamino acid metabolism,alanine,aspartate and glutamate metabolism were screened out.As for the differential metabolites,these 7 intersected metabolites including hydroxypropionic acid,tyrosine,citric acid,taurochenodeoxycholic acid,benzoic acid,2-Furoic acid,and propionic acid were selected.CONCLUSION Our findings showed that 4 metabolic pathways and 7 differential metabolites had potential usefulness in clinical prediction of the response of entecavir or combined with FZHY on HBV fibrotic liver.

Impact of Fuzheng Huayu tablet on antiviral effect of entecavir in patients with hepatitis B cirrhosis

Background:Fuzheng Huayu tablet is a traditional Chinese medicine(TCM)used for the treatment of liver fibrosis and cirrhosis.However,whether the combination with Fuzheng Huayu tablet could affect the antiviral efflcacy of nucleos(t)ide remains a concern.The objective of this trial was to explore the impact of Fuzheng Huayu tablet on antiviral effect of entecavir in patients with hepatitis B cirrhosis.Methods:A prospective,randomized control trial was conducted.Patients with compensated hepatitis B cirrhosis were randomly divided into the treatment group(entecavir capsule plus Fuzheng Huayu tablet)and the control group(entecavir capsule plus simulant of Fuzheng Huayu),and followed up for 48 weeks.The dynamic changes of HBV DNA load,the rate of serological conversion of HBeAg,liver function,renal function and liver stiffness measurement(LSM)were monitored.The general clinical data and adverse events were also recorded.Results:There was no significant difference in the rate of virological response and cumulative virological response between the treatment group and the control group(P>0.05).After 48 weeks of treatment,the HBeAg seroconversion rate,biochemical response rate and LSM value were 21.05%and 4.76%(P=0.164),86.96%and 65.96%(P=0.017),9.5 kpa and 10.6 kpa(P=0.827)in the treatment group and the control group,respectively.No serious adverse events related to the study therapy occurred during the trial.Conclusions:The antiviral entecavir combined with Fuzheng Huayu tablet did not affect the antiviral efflcacy of entecavir,but could improve the rate of biochemical response,and had a tendency to improve the rate of serological conversion of HBeAg and liver fibrosis in patients with hepatitis B cirrhosis.Fuzheng Huayu tablet is clinically safe for patients with hepatitis B cirrhosis.

Study of blood fat concentration based on serum ultraviolet absorption spectra and neural network

Blood plays an important role in the clinical di-agnosis and treatment, the analysis of blood will be of very important practical significance. The experiment shows that the absorption spectra of blood are of serious noise in the wave band of 200 to 300 nm, which hides the useful spectral characteristics. The effective separation of the noise was achieved by db4 wavelet transform, and the signals of reconstruction have been obviously improved in the noise serious wave band, reflecting some useful information. The absorption peaks of different samples are displaced to some degrees. The correlation between absorbance at 278nm and blood fat concentration is no significant and random. Based on the evident correlation between serum absorption spectrum and blood fat con-centration in the wave band of 265 to 282nm, a neural network model was built to forecast the blood fat concentration, bringing a relatively good prediction. This provides a new spectral test method of blood fat concentration.