Objective To elucidate the biological basis of liver-gallbladder damp-heat syndrome(LGDHS)within the framework of traditional Chinese medicine(TCM)as a complementary diagnostic and therapeutic approach in chronic hepa...Objective To elucidate the biological basis of liver-gallbladder damp-heat syndrome(LGDHS)within the framework of traditional Chinese medicine(TCM)as a complementary diagnostic and therapeutic approach in chronic hepatitis B(CHB).Methods CHB patients and healthy volunteers were enrolled from Shuguang Hospital Affili-ated to Shanghai University of Traditional Chinese Medicine between August 21,2018 and December 31,2020.They were divided into three groups:healthy group,LGDHS group,and latent syndrome(LP)group.Proteomic analysis using isobaric tags for relative and absolute quantitation(iTRAQ)was performed to identify differentially expressed proteins(DEPs).Metabolomic profiling via ultra-performance liquid chromatography-tandem mass spec-trometry(UPLC-MS/MS)was applied to serum samples to detect differentially regulated metabolites(DMs).Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment were employed to explore dysregulated pathways.Principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)were utilized to visualize group separation and identify key metabolites and proteins contributing to LGDHS differentiation.Receiver operating characteristic(ROC)curve analysis evaluated the diagnostic performance of key biomarkers,while logistic regression models assessed their predictive accuracy.P values were corrected for multiple tests using the Benjamini-Hochberg method to control the false discovery rate(FDR).Validation of potential biomarkers was con-ducted using independent microarray data and real-time quantitative polymerase chain reac-tion(RT-qPCR).Results A total of 150 participants were enrolled,including healthy group(n=45),LGDHS group(n=60),and LP group(n=45).254 DEPs from proteomics data and 72 DMs from metabolomic profiling were identified by PCA and OPLS-DA.DEPs were mainly enriched in immune and complement pathways,while DMs involved in amino acid and energy metabolism.The integrated analysis identified seven key biomarkers:α1-acid glycoprotein(ORM1),asparagine synthetase(ASNS),solute carrier family 27 member 5(SLC27A5),glu-cosidase II alpha subunit(GANAB),hexokinase 2(HK2),5-methyltetrahydrofolate-homocys-teine methyltransferase(MTR),and maltase-glucoamylase(MGAM).Microarray validation confirmed the diagnostic potential of these genes,with area under the curve(AUC)values for ROC analysis ranging from 0.536 to 0.759.Among these,ORM1,ASNS,and SLC27A5 showed significant differential ability in differentiating LGDHS patients(P=0.016,P=0.035,and P<0.001,respectively),with corresponding AUC of 0.749,0.743,and 0.759,respectively.A logis-tic regression model incorporating these three genes demonstrated an AUC of 0.939,indicat-ing a high discriminatory power for LGDHS.RT-qPCR further validated the differential ex-pression of ORM1 and SLC27A5 between LGDHS and LP groups(P=0.011 and P=0.034,re-spectively),with ASNS showing a consistent trend in expression(P=0.928).Conclusion This study integrates multi-omics approaches to uncover the molecular mecha-nisms underlying LGDHS in CHB.The identification of biomarkers ORM1,ASNS,and SLC27A5 offers a solid basis for the objective diagnosis of LGDHS,contributing to the stan-dardization and modernization of TCM diagnostic practices.展开更多
基金National Natural Science Foundation of China(82274183)Shanghai Municipal Health Commission’s special clinical research project in the health industry(202240243)Science and Technology Innovation Program of Science and Technology Commission of Shanghai Municipality(STCSM)(20ZR1453700).
文摘Objective To elucidate the biological basis of liver-gallbladder damp-heat syndrome(LGDHS)within the framework of traditional Chinese medicine(TCM)as a complementary diagnostic and therapeutic approach in chronic hepatitis B(CHB).Methods CHB patients and healthy volunteers were enrolled from Shuguang Hospital Affili-ated to Shanghai University of Traditional Chinese Medicine between August 21,2018 and December 31,2020.They were divided into three groups:healthy group,LGDHS group,and latent syndrome(LP)group.Proteomic analysis using isobaric tags for relative and absolute quantitation(iTRAQ)was performed to identify differentially expressed proteins(DEPs).Metabolomic profiling via ultra-performance liquid chromatography-tandem mass spec-trometry(UPLC-MS/MS)was applied to serum samples to detect differentially regulated metabolites(DMs).Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment were employed to explore dysregulated pathways.Principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA)were utilized to visualize group separation and identify key metabolites and proteins contributing to LGDHS differentiation.Receiver operating characteristic(ROC)curve analysis evaluated the diagnostic performance of key biomarkers,while logistic regression models assessed their predictive accuracy.P values were corrected for multiple tests using the Benjamini-Hochberg method to control the false discovery rate(FDR).Validation of potential biomarkers was con-ducted using independent microarray data and real-time quantitative polymerase chain reac-tion(RT-qPCR).Results A total of 150 participants were enrolled,including healthy group(n=45),LGDHS group(n=60),and LP group(n=45).254 DEPs from proteomics data and 72 DMs from metabolomic profiling were identified by PCA and OPLS-DA.DEPs were mainly enriched in immune and complement pathways,while DMs involved in amino acid and energy metabolism.The integrated analysis identified seven key biomarkers:α1-acid glycoprotein(ORM1),asparagine synthetase(ASNS),solute carrier family 27 member 5(SLC27A5),glu-cosidase II alpha subunit(GANAB),hexokinase 2(HK2),5-methyltetrahydrofolate-homocys-teine methyltransferase(MTR),and maltase-glucoamylase(MGAM).Microarray validation confirmed the diagnostic potential of these genes,with area under the curve(AUC)values for ROC analysis ranging from 0.536 to 0.759.Among these,ORM1,ASNS,and SLC27A5 showed significant differential ability in differentiating LGDHS patients(P=0.016,P=0.035,and P<0.001,respectively),with corresponding AUC of 0.749,0.743,and 0.759,respectively.A logis-tic regression model incorporating these three genes demonstrated an AUC of 0.939,indicat-ing a high discriminatory power for LGDHS.RT-qPCR further validated the differential ex-pression of ORM1 and SLC27A5 between LGDHS and LP groups(P=0.011 and P=0.034,re-spectively),with ASNS showing a consistent trend in expression(P=0.928).Conclusion This study integrates multi-omics approaches to uncover the molecular mecha-nisms underlying LGDHS in CHB.The identification of biomarkers ORM1,ASNS,and SLC27A5 offers a solid basis for the objective diagnosis of LGDHS,contributing to the stan-dardization and modernization of TCM diagnostic practices.