UNLABELLED: Although biopsy has been considered mandatory in diagnosing liver fibrosis, there is a high demand for alternative effective and noninvasive methods. In this study we aimed to develop a noninvasive and effective method using the plasma amino acid profiles for the diagnosis of liver fibrosis. MATERIALS AND METHODS: Fifty-three patients with chronic hepatitis C infection were included in the study. Plasma amino acid concentration was analyzed and severity of fibrosis was staged based on biopsy. We employed a previously published amino acid-based approach to develop a discriminator (designated as an "amino-index") for the diagnosis of patients with advanced liver fibrosis. The area under the receiver operating characteristic curve (AUC) was used for evaluation of the diagnosis. RESULTS: (Phe)/(Val)+(Thr+Met+Orn)/(Pro+Gly) was derived as the optimal amino index. The AUCs were 0.92+/-0.04 (SE) and 0.99+/-0.01 for discriminating advanced fibrosis (fibrosis stages F3 and F4) and for discriminating cirrhosis, respectively. By use of the optimal cut-off values, both the sensitivity and specificity achieved a score over 0.88. CONCLUSION: Fibrosis index based on amino acid concentration could be applied to diagnose liver fibrosis as a convenient noninvasive approach.
UNLABELLED: Although biopsy has been considered mandatory in diagnosing liver fibrosis, there is a high demand for alternative effective and noninvasive methods. In this study we aimed to develop a noninvasive and effective method using the plasma amino acid profiles for the diagnosis of liver fibrosis. MATERIALS AND METHODS: Fifty-three patients with chronic hepatitis C infection were included in the study. Plasma amino acid concentration was analyzed and severity of fibrosis was staged based on biopsy. We employed a previously published amino acid-based approach to develop a discriminator (designated as an "amino-index") for the diagnosis of patients with advanced liver fibrosis. The area under the receiver operating characteristic curve (AUC) was used for evaluation of the diagnosis. RESULTS: (Phe)/(Val)+(Thr+Met+Orn)/(Pro+Gly) was derived as the optimal amino index. The AUCs were 0.92+/-0.04 (SE) and 0.99+/-0.01 for discriminating advanced fibrosis (fibrosis stages F3 and F4) and for discriminating cirrhosis, respectively. By use of the optimal cut-off values, both the sensitivity and specificity achieved a score over 0.88. CONCLUSION:Fibrosis index based on amino acid concentration could be applied to diagnose liver fibrosis as a convenient noninvasive approach.