Objective:By analyzing the concentration distribution and hydrophilic/hydrophobic proportion differences of 15 bile acid subtypes in the serum of patients with hepatitis B virus（HBV）infection complicated with liver cirrhosis and primary biliary cholangitis（PBC）complicated with liver cirrhosis，this study aims to explore the potential associations between bile acid metabolism and these diseases，providing a reference basis for identifying disease-specific metabolic fingerprints in the diagnosis，treatment，and prognosis of liver diseases. Furthermore，building on the pharmacological mechanisms of ursodeoxycholic acid（UDCA）in the treatment of PBC，this research investigates potential therapeutic applications of bile acid drugs in HBV infection.Methods:A retrospective analysis method was adopted. We enrolled 27 HBV infection complicated with liver cirrhosis patients and 59 PBC complicated with liver cirrhosis patients who received outpatient or inpatient treatment at the Fifth Medical Center of PLA General Hospital from November 2024 to April 2025. The general data and routine clinical laboratory data of the two groups of patients were collected and analyzed. Using the ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UHPLC-QqQ-MS/MS）platform，precise quantification and differential analysis of 15 bile acid subtypes were performed in serum samples. Partial least squares discriminant analysis（PLS-DA）was employed to perform discriminant analysis on serum bile acid profiles data between the two groups，and variable importance in projection（VIP）values were calculated to identify key bile acid subtypes that could differentiate the two diseases. Box plots were constructed to analyze proportion differences in serum hydrophilic and hydrophobic bile acids between the two groups，aiming to explore potential associations between bile acid metabolism and the diseases.Results:The HBV infection group and the PBC group exhibited similar impairment of routine liver function parameters. The HBV infection group had higher serum concentrations of cholic acid（CA），chenodeoxycholic acid（CDCA）and deoxycholic acid（DCA），but lower concentrations of UDCA，glycoursodeoxycholic acid（GUDCA）and tauroursodeoxycholic acid（TUDCA）. The score plot generated by the PLS-DA model demonstrated significant differences in bile acid profile characteristics between the two diseases，with VIP values for UDCA，CDCA，GUDCA，TUDCA，and DCA all greater than 1. Box plots demonstrated a higher proportion of hydrophobic bile acids in the bile acid profile of the HBV infection group compared to the PBC group.Conclusion:This study found significant differences in serum bile acid profile characteristics between patients with HBV infection complicated with liver cirrhosis and those with PBC complicated with liver cirrhosis，specific bile acid subtypes such as CDCA and DCA have the potential to become specific metabolic fingerprints for these two diseases. HBV infection group exhibited higher proportion of hydrophobic bile acids in their bile acid profiles compared to PBC group. The characteristic changes in bile acid profiles can reflect the pathological characteristics of liver diseases，and their differences in hydrophilic/hydrophobic bile acids proportion represents a novel dimension independent of traditional liver function indicators，with potential value for disease prognosis assessment. UDCA or its derivatives may hold therapeutic potential for HBV infection patients with liver cirrhosis who exhibit accumulation of hydrophobic bile acids.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

OBJECTIVE To explore the diagnostic value of combined detection of microRNA(miRNA)and alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)in ascites and serum ex-tracellular vesicles(EVs)for hepatitis B virus(HBV)-related primary hepatocellular carcinoma(HCC).METHODS From Nov.2023 to Nov.2024,41 patients with liver cancer and 26 patients with liver cirrhosis who underwent ascites placement or ascites concentration and reinfusion procedures at the Fifth Medical Center of Chi-nese PLA General Hospital were selected as study subjects.Ascites and serum samples were collected.Real-time quantitative reverse transcription polymerase chain reaction(qRT-PCR)was used to detect the expression levels of miR-21,miR-125a,miR-150 and miR-200a in EVs.Chemiluminescence was used to measure the levels of AFP and PIVKA-Ⅱ in ascites,serum and EVs from ascites and serum.An artificial neural network was utilized to con-struct a combined diagnostic model of serum and ascites markers.RESULTS The area under the curve(AUC)for distinguishing HCC from liver cirrhosis using a combination of serum and other indicators was 0.933.The AUC for distinguishing HCC from liver cirrhosis using a combination of ascites and other indicators was 0.912.By screening all detected indicators using an artificial neural network and incorporating indicators with a relative im-portance＞0.5 into the diagnostic model,the model included four indicators:ascites AFP,ascites EVs miR-21,ascites EVs miR-200a and serum EVs miR-200a.This model had a sensitivity of 80.77％,a specificity of 87.80％and an AUC of 0.960 for distinguishing HCC from liver cirrhosis patients.CONCLUSION The combined diagnos-tic markers of miRNA,AFP and PIVKA-Ⅱ in ascites and serum-derived EVs have good application value in the diagnosis of HCC.

OBJECTIVE To analyze a strain of multidrug-resistant Pseudomonas fulva by whole genome sequencing,investigate the genomic characteristics and analyze the significance in phyletic evolution.METHODS A strain of P.fulva,NY4814,was isolated from the Chinese PLA General Hospital in 2014.The genome sequence data of the strain were obtained after the purification,preservation and whole genome sequencing.The specie of the strain was identified by comparing with average nucleotide identity(ANI);the minimum inhibitory concentra-tions(MIC)of the strains were determined by VITEK2 system.All of the data regarding to the genomic se-quences of P.fulva were downloaded from RefSeq database of National Center of Biotechnology Information(NCBI)to construct the phylogenetic tree.RESULTS The P.fulva NY4814 was resistant to carbapenems and quinolones.The chromosome carried a newly discovered Tn7675 unit transposon,which mediated resistance to aminoglycosides and chloramphenicol.Simultaneously,the plasmid pNY4814-IMP drove the wide dissemination of the blaIMP resistance gene across Pseudomonas species via a highly conserved conjugative and transfer mechanism,and the Tn6485i unit transposon carried by the chromosome mediated the resistance to β-lactams.CONCLUSIONS As one of the potential carriers for the transmission of carbapenems resistance genes and other types of drug re-sistance genes,the P.fulva leads to the infection as a seldom opportunistic pathogen.The genetic structure of NY4814 and its association with genetic evolution of the species are observed in the study,which intensify the un-derstanding of the species and provide theoretical bases for prevention and monitoring of bacterial infections.

OBJECTIVE To analyze a strain of multidrug-resistant Pseudomonas fulva by whole genome sequencing,investigate the genomic characteristics and analyze the significance in phyletic evolution.METHODS A strain of P.fulva,NY4814,was isolated from the Chinese PLA General Hospital in 2014.The genome sequence data of the strain were obtained after the purification,preservation and whole genome sequencing.The specie of the strain was identified by comparing with average nucleotide identity(ANI);the minimum inhibitory concentra-tions(MIC)of the strains were determined by VITEK2 system.All of the data regarding to the genomic se-quences of P.fulva were downloaded from RefSeq database of National Center of Biotechnology Information(NCBI)to construct the phylogenetic tree.RESULTS The P.fulva NY4814 was resistant to carbapenems and quinolones.The chromosome carried a newly discovered Tn7675 unit transposon,which mediated resistance to aminoglycosides and chloramphenicol.Simultaneously,the plasmid pNY4814-IMP drove the wide dissemination of the blaIMP resistance gene across Pseudomonas species via a highly conserved conjugative and transfer mechanism,and the Tn6485i unit transposon carried by the chromosome mediated the resistance to β-lactams.CONCLUSIONS As one of the potential carriers for the transmission of carbapenems resistance genes and other types of drug re-sistance genes,the P.fulva leads to the infection as a seldom opportunistic pathogen.The genetic structure of NY4814 and its association with genetic evolution of the species are observed in the study,which intensify the un-derstanding of the species and provide theoretical bases for prevention and monitoring of bacterial infections.

Objective:By analyzing the concentration distribution and hydrophilic/hydrophobic proportion differences of 15 bile acid subtypes in the serum of patients with hepatitis B virus（HBV）infection complicated with liver cirrhosis and primary biliary cholangitis（PBC）complicated with liver cirrhosis，this study aims to explore the potential associations between bile acid metabolism and these diseases，providing a reference basis for identifying disease-specific metabolic fingerprints in the diagnosis，treatment，and prognosis of liver diseases. Furthermore，building on the pharmacological mechanisms of ursodeoxycholic acid（UDCA）in the treatment of PBC，this research investigates potential therapeutic applications of bile acid drugs in HBV infection.Methods:A retrospective analysis method was adopted. We enrolled 27 HBV infection complicated with liver cirrhosis patients and 59 PBC complicated with liver cirrhosis patients who received outpatient or inpatient treatment at the Fifth Medical Center of PLA General Hospital from November 2024 to April 2025. The general data and routine clinical laboratory data of the two groups of patients were collected and analyzed. Using the ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UHPLC-QqQ-MS/MS）platform，precise quantification and differential analysis of 15 bile acid subtypes were performed in serum samples. Partial least squares discriminant analysis（PLS-DA）was employed to perform discriminant analysis on serum bile acid profiles data between the two groups，and variable importance in projection（VIP）values were calculated to identify key bile acid subtypes that could differentiate the two diseases. Box plots were constructed to analyze proportion differences in serum hydrophilic and hydrophobic bile acids between the two groups，aiming to explore potential associations between bile acid metabolism and the diseases.Results:The HBV infection group and the PBC group exhibited similar impairment of routine liver function parameters. The HBV infection group had higher serum concentrations of cholic acid（CA），chenodeoxycholic acid（CDCA）and deoxycholic acid（DCA），but lower concentrations of UDCA，glycoursodeoxycholic acid（GUDCA）and tauroursodeoxycholic acid（TUDCA）. The score plot generated by the PLS-DA model demonstrated significant differences in bile acid profile characteristics between the two diseases，with VIP values for UDCA，CDCA，GUDCA，TUDCA，and DCA all greater than 1. Box plots demonstrated a higher proportion of hydrophobic bile acids in the bile acid profile of the HBV infection group compared to the PBC group.Conclusion:This study found significant differences in serum bile acid profile characteristics between patients with HBV infection complicated with liver cirrhosis and those with PBC complicated with liver cirrhosis，specific bile acid subtypes such as CDCA and DCA have the potential to become specific metabolic fingerprints for these two diseases. HBV infection group exhibited higher proportion of hydrophobic bile acids in their bile acid profiles compared to PBC group. The characteristic changes in bile acid profiles can reflect the pathological characteristics of liver diseases，and their differences in hydrophilic/hydrophobic bile acids proportion represents a novel dimension independent of traditional liver function indicators，with potential value for disease prognosis assessment. UDCA or its derivatives may hold therapeutic potential for HBV infection patients with liver cirrhosis who exhibit accumulation of hydrophobic bile acids.

Objective:To assess the performance of machine learning(ML),and integrate the clinical parameters with coronary artery calcium(CAC)score of computed tomography(CT)and quantification of automated epicardial adipose tissue(EAT),so as to predict the long-term risk of myocardial infarction(MI)and cardiogenic death in asymptomatic patients.Methods:A total of 1 058 subjects with cardiovascular risk factors and without symptoms of coronary heart disease who underwent physical examination at the Fifth Medical Center of Chinese PLA General Hospital from January 2013 to October 2015 were selected as this study subjects.A long-term follow-up was conducted on them after CAC score.EAT volume and density were quantified using a fully automated deep learning method.ML extreme gradient boosting was trained by using clinical data,risk score of atherosclerotic cardiovascular disease,CAC score and automated EAT measure,and the repeated 10-fold cross validation was used to verify the model.Results:During the 8-year follow-up period,61 cases of 1 058 subjects occurred events of MI and(or)cardiac death.The area under curve(AUC)value of ML was significantly higher than that of the atherosclerotic cardiovascular disease(ASCVD)risk and the predicting events of CAC score(ML:0.82,ASCVD:0.77,CAC:0.77).Compared with ML with only clinical variable,machine learning based on ASCVD,CAC and EAT had more predictive ability for MI and cardiac death[AUC 0.82(95%CI:77-87)vs.0.78(95%CI:0.72-0.84),P=0.02].The survival rate of subjects with high ML scores had a greater decline degree with the increasing of time,therefore,the subjects with higher ML scores were more likely to experience events.Conclusion:ML,which integrated clinical and quantitative imaging variables,can provide long-term risk prediction for patients with cardiovascular risk factors.

Objective To compare the changes of the medical animal resources(MAR)in Sichuan based on the data of the 3rd Chinese Materia Medica Resource Inventory(CMMRI,1983-1986)and the 4th CMMRI(2020-2022).Methods After field investigation and identification of the photos of the animals,the data of the MAR in Sichuan found in the 4th CMMRI were analyzed and compared with the data of 3rd CMMRI.Results 745 species of MAR were found in Sichuan during the 4th CMMRI,including 212 families and 468 genera.Compared with the 108 species found in 3rd CMMRI,the number of MAR in Sichuan had greatly increased,The Aves was found to have 243 species of MAR,which is the most plenty one among the 7 classes.There were 14 families which have more than 10 species of MAR.The family,Cyprinidae had 48 species of MAR.There were 33 common Chinese medicinal herbs and 3 genuine medicinal materials including Cordyceps sinensis,musk and Venenum bufonis were found in this investigation.The new distributions of Liangshan Cordyceps and Cordyceps gunnii were found in the investigation,and the new resources of Atypus heterothecus was found in Mountain Emei.There were 140 species of key protection of wild medicinal animals,including 44 species of animals under first-class protection and 96 species of animals under second-class protection.There were 230 species of animals which had important ecological,scientific,and social values,too.Conclusion Sichuan was plenty of medical animal resources and the protection of the forest musk deer,the Cordyceps sinensis and the pangolin was need to be strengthened.

Objective:To evaluate the virulence levels of carbapenem-resistant Acinetobacter baumannii ST191, ST195, and ST208, and to analyze the differences in virulence factors among these epidemic clones. Methods:The study involved the genomic sequencing of 233 Acinetobacter baumannii strains that were isolated from the Fifth Medical Center of the Chinese People′s Liberation Army General Hospital (North Hospital) between 2011 and 2019. The genomic data was cross-referenced with the Virulence Factor Database (VFDB) to examine the presence of virulence genes in the strains. Furthermore, a Galleria mellonella infection survival model was used to evaluate the virulence levels of the strains, and the association between virulence levels and virulence genes was analyzed. Results:The study included 38 strains of the ST191 clone, 104 strains of the ST195 clone, and 91 strains of the ST208 clone. In the Galleria mellonella infection survival experiment, the average mortality rate for ST191 was 23.0%, with 3 (7.9%) highly virulent strains. For ST195, the average mortality rate was 53.0%, with 34 (32.7%) highly virulent strains. For ST208, the average mortality rate was 47.0%, with 20 (21.9%) highly virulent strains. There was a significant statistical difference in mortality rates between ST191 and ST195 ( χ 2=13.9, P<0.001) as well as between ST191 and ST208 ( χ2=15.2, P<0.001). A comparison of the strains with the VFDB revealed significant differences in the virulence genes carried by the clones. Specifically, the type Ⅵ secretion system-related genes ( clpV/tssH, hcp/tssD, tagX, tssA, tssB, tssC, tssE, tssF, tssG, tssK, ssL, tssM) and the sugar transferase gene ACICU_RS00475 were found to be universally absent in ST191 strains (0%) while being prevalent in ST195 (100.0%) and ST208 (>82.0%) strains. Statistical analysis revealed an association between the mortality rate of the clones and the presence of virulence genes( clpV/tssHP<0.001, hcp/tssDP=0.001, tagXP<0.001, tssAP<0.001, tssBP=0.001, tssCP=0.001, tssE P=0.001, tssF P=0.001, tssGP<0.001, tssKP<0.001, tssLP<0.001, tssMP=0.001, ACICU_RS00475 P=0.001). Conclusion:Among the carbapenem-resistant epidemic clones of Acinetobacter baumannii, the ST191 clone shows lower mortality rates in Galleria mellonella, possibly because of the lack of type Ⅵ secretion system and sugar transferase genes.

Objective:To evaluate the virulence levels of carbapenem-resistant Acinetobacter baumannii ST191, ST195, and ST208, and to analyze the differences in virulence factors among these epidemic clones. Methods:The study involved the genomic sequencing of 233 Acinetobacter baumannii strains that were isolated from the Fifth Medical Center of the Chinese People′s Liberation Army General Hospital (North Hospital) between 2011 and 2019. The genomic data was cross-referenced with the Virulence Factor Database (VFDB) to examine the presence of virulence genes in the strains. Furthermore, a Galleria mellonella infection survival model was used to evaluate the virulence levels of the strains, and the association between virulence levels and virulence genes was analyzed. Results:The study included 38 strains of the ST191 clone, 104 strains of the ST195 clone, and 91 strains of the ST208 clone. In the Galleria mellonella infection survival experiment, the average mortality rate for ST191 was 23.0%, with 3 (7.9%) highly virulent strains. For ST195, the average mortality rate was 53.0%, with 34 (32.7%) highly virulent strains. For ST208, the average mortality rate was 47.0%, with 20 (21.9%) highly virulent strains. There was a significant statistical difference in mortality rates between ST191 and ST195 ( χ 2=13.9, P<0.001) as well as between ST191 and ST208 ( χ2=15.2, P<0.001). A comparison of the strains with the VFDB revealed significant differences in the virulence genes carried by the clones. Specifically, the type Ⅵ secretion system-related genes ( clpV/tssH, hcp/tssD, tagX, tssA, tssB, tssC, tssE, tssF, tssG, tssK, ssL, tssM) and the sugar transferase gene ACICU_RS00475 were found to be universally absent in ST191 strains (0%) while being prevalent in ST195 (100.0%) and ST208 (>82.0%) strains. Statistical analysis revealed an association between the mortality rate of the clones and the presence of virulence genes( clpV/tssHP<0.001, hcp/tssDP=0.001, tagXP<0.001, tssAP<0.001, tssBP=0.001, tssCP=0.001, tssE P=0.001, tssF P=0.001, tssGP<0.001, tssKP<0.001, tssLP<0.001, tssMP=0.001, ACICU_RS00475 P=0.001). Conclusion:Among the carbapenem-resistant epidemic clones of Acinetobacter baumannii, the ST191 clone shows lower mortality rates in Galleria mellonella, possibly because of the lack of type Ⅵ secretion system and sugar transferase genes.