Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans

Diagnosis of drug-induced liver injury (DILI) and its distinction from other liver diseases are significant challenges in drug development and clinical practice. We used Tandem Mass Tag-labeled quantitative proteomics detecting 2323 proteins in a cohort comprising patients with DILI [at onset (DO) and follow-up (DF)], acute non-DILI [at onset (NDO) and follow-up (NDF)], and healthy volunteers (HV) to identify novel serum biomarkers. Thirteen candidates selected based on differential expression, liver-specific expression, and mechanistic relevance to liver pathology, were assessed in confirmatory and replication cohorts of HV (n=94), DO (n=123), DF (n=110), NDO (n=58) and NDF (n=37) using a targeted label-free SureQuant assay. Area under the receiver operating characteristic curve (AUC) ranging between 0.94 and 0.99 across cohorts for five of these biomarkers, reflected differentiation between DO and HV with high sensitivity and specificity. In addition, fructose-1,6-bisphosphatase 1 distinguished NDO from DO (AUC: 0.75 and 0.65) on its own or in combination with glutathione S-transferase A1 and leukocyte cell derived chemotaxin 2 (AUC: 0.78 and 0.68). These can potentially differentiate DILI and acute liver injury from non-drug etiologies

Tandem mass tag-based quantitative proteomic profiling identifies novel serum biomarkers of drug-induced liver injury in humans

Diagnosis of drug-induced liver injury (DILI) and its distinction from other liver diseases are significant challenges in drug development and clinical practice. We used Tandem Mass Tag-labeled quantitative proteomics detecting 2323 proteins in a cohort comprising patients with DILI [at onset (DO) and follow-up (DF)], acute non-DILI [at onset (NDO) and 5 follow-up (NDF)], and healthy volunteers (HV) to identify novel serum biomarkers. Thirteen candidates selected based on differential expression, liver-specific expression, and mechanistic relevance to liver pathology, were assessed in confirmatory and replication cohorts of HV (n=94), DO (n=123), DF (n=110), NDO (n=58) and NDF (n=37) using a targeted label-free SureQuant assay. Area under the receiver operating characteristic curve (AUC) ranging between 0.94 and 0.99 across cohorts for five of these biomarkers, reflected differentiation between DO and HV with high sensitivity and specificity. In addition, fructose-1,6-bisphosphatase distinguished NDO from DO (AUC: 13 0.75 and 0.65) on its own or in combination with glutathione S-transferase A1 and leukocyte cell derived chemotaxin 2 (AUC: 0.78 and 0.68). These can potentially differentiate DILI and acute liver injury from non-drug etiologies

Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans.

Diagnosis of drug-induced liver injury (DILI) and its distinction from other liver diseases are significant challenges in drug development and clinical practice. Here, we identify, confirm, and replicate the biomarker performance characteristics of candidate proteins in patients with DILI at onset (DO; n = 133) and follow-up (n = 120), acute non-DILI at onset (NDO; n = 63) and follow-up (n = 42), and healthy volunteers (HV; n = 104). Area under the receiver operating characteristic curve (AUC) for cytoplasmic aconitate hydratase, argininosuccinate synthase, carbamoylphosphate synthase, fumarylacetoacetase, fructose-1,6-bisphosphatase 1 (FBP1) across cohorts achieved near complete separation (range: 0.94-0.99) of DO and HV. In addition, we show that FBP1, alone or in combination with glutathione S-transferase A1 and leukocyte cell-derived chemotaxin 2, could potentially assist in clinical diagnosis by distinguishing NDO from DO (AUC range: 0.65-0.78), but further technical and clinical validation of these candidate biomarkers is needed

Tandem mass tag-based quantitative proteomic profiling identifies candidate serum biomarkers of drug-induced liver injury in humans.

Diagnosis of drug-induced liver injury (DILI) and its distinction from other liver diseases are significant challenges in drug development and clinical practice. Here, we identify, confirm, and replicate the biomarker performance characteristics of candidate proteins in patients with DILI at onset (DO; n = 133) and follow-up (n = 120), acute non-DILI at onset (NDO; n = 63) and follow-up (n = 42), and healthy volunteers (HV; n = 104). Area under the receiver operating characteristic curve (AUC) for cytoplasmic aconitate hydratase, argininosuccinate synthase, carbamoylphosphate synthase, fumarylacetoacetase, fructose-1,6-bisphosphatase 1 (FBP1) across cohorts achieved near complete separation (range: 0.94-0.99) of DO and HV. In addition, we show that FBP1, alone or in combination with glutathione S-transferase A1 and leukocyte cell-derived chemotaxin 2, could potentially assist in clinical diagnosis by distinguishing NDO from DO (AUC range: 0.65-0.78), but further technical and clinical validation of these candidate biomarkers is needed