AIM:To study the association between genetic ancestry,non-alcoholic fatty liver disease(NAFLD) metabolic characteristics in two cohorts of patients,from Brazil and Portugal. METHODS:We included 131 subjects from Brazi...AIM:To study the association between genetic ancestry,non-alcoholic fatty liver disease(NAFLD) metabolic characteristics in two cohorts of patients,from Brazil and Portugal. METHODS:We included 131 subjects from Brazil [(n = 45 with simple steatosis(S. Steatosis) and n = 86 with nonalcoholic steatohepatitis(NASH)] and 90 patients from Portugal(n = 66,S. Steatosis; n = 24,NASH). All patients had biopsy-proven NAFLD. In histologic evaluation NAFLD activity score was used to assess histology and more than 5 points defined NASH in this study. Patients were divided into two groups according to histology diagnosis:simple steatosis or non-alcoholic statohepatitis. Genetic ancestry was assessed using real-time polymerase chain reaction. Seven ancestry informative markers(AT3-I/D,LPL,Sb19.3,APO,FYNull,PV92,and CKMM) with the greatest ethnicgeographical differential frequencies(≥ 48%) were used to define genetic ancestry. Data were analyzed using R PROJECTS software. Ancestry allele frequencies between groups were analyzed by GENEPOP onlineand the estimation of genetic ancestry contribution was evaluated by ADMIX-95 software. The 5% alpha-error was considered as significant(P < 0.05). RESULTS:In the Brazilian sample,NASH was significantly more frequent among the elderly patients with diabetes(NASH 56 ± 1.1 years old vs S. Steatosis 51 ± 1.5 years old,P = 3.7 x 10-9),dyslipidemia(NASH 63% vs S. Steatosis 37%,P = 0.009),higher fasting glucose levels(NASH 124 ± 5.2 vs S. Steatosis 106 ± 5.3,P = 0.001) and Homeostatic Model of Assessment index > 2.5 [NASH 5.3(70.8%) vs S. Steatosis 4.6(29.2%) P = 0.04]. In the Portuguese study population,dyslipidemia was present in all patients with NASH(P = 0.03) and hypertension was present in a larger percentage of subjects in the S. Steatosis group(P = 0.003,respectively). The genetic ancestry contribution among Brazilian and Portuguese individuals with NASH was similar to those with S. Steatosis from each cohort(Brazilian cohort:P = 0.75; Portuguese cohort:P = 0.97). Nonetheless,the genetic ancestry contribution of the Brazilian and Portuguese population were different,and a greater European and Amerindian ancestry contribution was detected in the Portuguese population while a higher African genetic ancestry contribution was observed in Brazilian population of both NASH and S. Steatosis groups.CONCLUSION:There was no difference between the genetic ancestry contribution among Brazilian and Portuguese individuals with NASH and S. Steatosis from each cohort.展开更多
Nonalcoholic steatohepatitis(NASH)has emerged as a major cause of liver failure and hepatocellular carcinoma.Investigation into the molecular mechanisms that underlie steatosis-to-NASH progression is key to understand...Nonalcoholic steatohepatitis(NASH)has emerged as a major cause of liver failure and hepatocellular carcinoma.Investigation into the molecular mechanisms that underlie steatosis-to-NASH progression is key to understanding the development of NASH pathophysiology.Here,we present comprehensive multi-omic profiles of preclinical animal models to identify genes,non-coding RNAs,proteins,and plasma metabolites involved in this progression.In particular,by transcriptomics analysis,we identified Growth Differentiation Factor 3(GDF3)as a candidate noninvasive biomarker in NASH.Plasma GDF3 levels are associated with hepatic pathological features in patients with NASH,and differences in these levels provide a high diagnostic accuracy of NASH diagnosis(AUROC=0.90;95%confidence interval:0.85−0.95)with a good sensitivity(90.7%)and specificity(86.4%).In addition,by developing integrated proteomic-metabolomic datasets and performing a subsequent pharmacological intervention in a mouse model of NASH,we show that ferroptosis may be a potential target to treat NASH.Moreover,by using competing endogenous RNAs network analysis,we found that several miRNAs,including miR-582-5p and miR-292a-3p,and lncRNAs,including XLOC-085738 and XLOC-041531,are associated with steatosis-to-NASH progression.Collectively,our data provide a valuable resource into the molecular characterization of NASH progression,leading to the novel insight that GDF3 may be a potential noninvasive diagnostic biomarker for NASH while further showing that ferroptosis is a therapeutic target for the disease.展开更多
文摘AIM:To study the association between genetic ancestry,non-alcoholic fatty liver disease(NAFLD) metabolic characteristics in two cohorts of patients,from Brazil and Portugal. METHODS:We included 131 subjects from Brazil [(n = 45 with simple steatosis(S. Steatosis) and n = 86 with nonalcoholic steatohepatitis(NASH)] and 90 patients from Portugal(n = 66,S. Steatosis; n = 24,NASH). All patients had biopsy-proven NAFLD. In histologic evaluation NAFLD activity score was used to assess histology and more than 5 points defined NASH in this study. Patients were divided into two groups according to histology diagnosis:simple steatosis or non-alcoholic statohepatitis. Genetic ancestry was assessed using real-time polymerase chain reaction. Seven ancestry informative markers(AT3-I/D,LPL,Sb19.3,APO,FYNull,PV92,and CKMM) with the greatest ethnicgeographical differential frequencies(≥ 48%) were used to define genetic ancestry. Data were analyzed using R PROJECTS software. Ancestry allele frequencies between groups were analyzed by GENEPOP onlineand the estimation of genetic ancestry contribution was evaluated by ADMIX-95 software. The 5% alpha-error was considered as significant(P < 0.05). RESULTS:In the Brazilian sample,NASH was significantly more frequent among the elderly patients with diabetes(NASH 56 ± 1.1 years old vs S. Steatosis 51 ± 1.5 years old,P = 3.7 x 10-9),dyslipidemia(NASH 63% vs S. Steatosis 37%,P = 0.009),higher fasting glucose levels(NASH 124 ± 5.2 vs S. Steatosis 106 ± 5.3,P = 0.001) and Homeostatic Model of Assessment index > 2.5 [NASH 5.3(70.8%) vs S. Steatosis 4.6(29.2%) P = 0.04]. In the Portuguese study population,dyslipidemia was present in all patients with NASH(P = 0.03) and hypertension was present in a larger percentage of subjects in the S. Steatosis group(P = 0.003,respectively). The genetic ancestry contribution among Brazilian and Portuguese individuals with NASH was similar to those with S. Steatosis from each cohort(Brazilian cohort:P = 0.75; Portuguese cohort:P = 0.97). Nonetheless,the genetic ancestry contribution of the Brazilian and Portuguese population were different,and a greater European and Amerindian ancestry contribution was detected in the Portuguese population while a higher African genetic ancestry contribution was observed in Brazilian population of both NASH and S. Steatosis groups.CONCLUSION:There was no difference between the genetic ancestry contribution among Brazilian and Portuguese individuals with NASH and S. Steatosis from each cohort.
基金This study was supported by the National Key Research and Development Program of China(2018YFA0800402)the National Natural Science Foundation of China(81974119,82070887 and 81900771)+2 种基金the Shanghai Outstanding Academic Leaders Projects and Basic Research of Science and Technology Innovation Action Plan by Shanghai Municipal Science and Technology Committee(21XD1423400 and 21JC1401300)Excellent Youth Cultivation Program of Shanghai Sixth People’s Hospital(ynjq202202)the Shenzhen Science and technology R&D Foundation(KCXFZ202002011010445).
文摘Nonalcoholic steatohepatitis(NASH)has emerged as a major cause of liver failure and hepatocellular carcinoma.Investigation into the molecular mechanisms that underlie steatosis-to-NASH progression is key to understanding the development of NASH pathophysiology.Here,we present comprehensive multi-omic profiles of preclinical animal models to identify genes,non-coding RNAs,proteins,and plasma metabolites involved in this progression.In particular,by transcriptomics analysis,we identified Growth Differentiation Factor 3(GDF3)as a candidate noninvasive biomarker in NASH.Plasma GDF3 levels are associated with hepatic pathological features in patients with NASH,and differences in these levels provide a high diagnostic accuracy of NASH diagnosis(AUROC=0.90;95%confidence interval:0.85−0.95)with a good sensitivity(90.7%)and specificity(86.4%).In addition,by developing integrated proteomic-metabolomic datasets and performing a subsequent pharmacological intervention in a mouse model of NASH,we show that ferroptosis may be a potential target to treat NASH.Moreover,by using competing endogenous RNAs network analysis,we found that several miRNAs,including miR-582-5p and miR-292a-3p,and lncRNAs,including XLOC-085738 and XLOC-041531,are associated with steatosis-to-NASH progression.Collectively,our data provide a valuable resource into the molecular characterization of NASH progression,leading to the novel insight that GDF3 may be a potential noninvasive diagnostic biomarker for NASH while further showing that ferroptosis is a therapeutic target for the disease.