The invention relates to a method for analyzing a biological sample for changes in signatures of key metabolites in a hepatic
disease, comprising (a) isolating erythrocytes from the biological sample, (b) identifying and optionally quantifying lipids from the erythrocytes as the key metabolites for a hepatic and infectious
disease, including the lipids PC (28:0), PC (30:0), PC (30:1), PC (32:0), PC (32:1), PC (34:0), PC (34:1), PC (34:2), PC (36:0), PC (36:1), PC (36:2), PC (36:3), PC (36:4), PC (38:0), PC (38:1), PC (38:2), PC (38:3) and PC (38:4); SM (17:0), SM (12:0), SM (14:0), SM (16:0), SM (18:0), SM (18:1), SM (20:0), SM (22:0), SM (24:0), SM (24:1), SM (26:0) and SM (26:1); LPE (16:0), LPE (16:1), LPE (18:0), LPE (18:1), LPE (18:2) and LPE (20:4); Cer (15:0), Cer (12:0), Cer (14:0), Cer (16:0), Cer (18:0), Cer (18:1), Cer (20:0), Cer (22:0), Cer (24:0) and Cer (24:1); LPC (16:0), LPC (16:1), LPC (17:0), LPC (18:0), LPC (18:1), LPC (18:2), LPC (20:0), LPC (20:1), LPC (20:3) and LPC (20:4), and LPE (16:0), LPE (16:1), LPE (17:1), LPE (18:0), LPE (18:1), LPE (18:2) and LPE (20:4); (c) carrying out
principal component analysis of the samples and clustering according to subgroups; (d) identifying key metabolites by means of XGBoost
algorithm; (e) detecting the changes in the key signatures of the key metabolites of the hepatic
disease identified in step (d), and (f) diagnosing a hepatic disease. The invention further relates to the use of the results of this method in
personalized medicine.