A number of scoring systems, such as the FibroTest [4], the aspartate transaminase/alanine transaminase (AST/ALT) ratio [5], the AST/Platelet Ratio Index (APRI) [6], FIB-4 (patient age, AST, ALT, and platelet) [7], Wisteria floribunda agglutinin-positive Mac-2 binding protein (WFA+-M2BP) [8], and machine learning-based clinical predictive models [9], have recently been used to stage CLD and predict the development of liver fibrosis and cirrhosis. This evidence concerns the gene GPT and congenital secretory chloride diarrhea 1.