Serum alanine aminotransferase (ALT) activity, the variable most commonly measured to assess hepatic disease, fails to identify many patients with hepatic injury. Current standards for “normal” ALT level were defined by using populations that included persons with subclinical liver disease. To update definitions of healthy ranges for serum ALT level. Retrospective cohort study. A university hospital in Milan, Italy. 6835 persons who were first-time blood donors from 1995 through 1999, were negative for anti–hepatitis C virus (HCV), and had no contraindications to donation and 209 persons who attempted to donate blood from 1990 through 1999 but were found to have anti–HCV antibodies. Of the latter group, 131 had HCV viremia. Univariate and multivariate analyses examined associations between clinical and laboratory factors and ALT levels. Healthy ranges for ALT were computed from the population at lowest risk for liver disease. Sensitivity and specificity of healthy ALT ranges were evaluated in the donors with HCV antibodies, of whom 133 had liver biopsy. Serum ALT activity was independently related to body mass index and to laboratory indicators of abnormal lipid or carbohydrate metabolism. Updated upper limits (for men, 500 nkat/L [30 U/L]; for women, 317 nkat/L [19 U/L]) were lower than current limits (for men, 667 nkat/L [40 U/L]; for women, 500 nkat/L [30 U/L]) and, during 6-month follow-up, showed superior sensitivity in identifying participants with HCV viremia (sensitivity, 76.3% [95 % CI, 69.1% to 83.6%] vs. 55% [CI, 46.4% to 63.5%]). The related tradeoff in specificity was acceptable (88.5% [CI, 79.2% to 94.6%] vs. 97.4% [91% to 99.7%]). The increased sensitivity targeted patients with minimal to mild histologic lesions. In patients with chronic HCV infection or nonalcoholic fatty liver disease, revision of normal limits for ALT level is advisable.

Hepatocellular carcinoma (HCC) risk stratification in individuals with dysmetabolism is a major unmet need. Genetic predisposition contributes to non-alcoholic fatty liver disease (NAFLD). We aimed to exploit robust polygenic risk scores (PRS) that can be evaluated in the clinic to gain insight into the causal relationship between NAFLD and HCC, and to improve HCC risk stratification. We examined at-risk individuals (NAFLD cohort, n = 2,566; 226 with HCC; and a replication cohort of 427 German patients with NAFLD) and the general population (UK Biobank [UKBB] cohort, n = 364,048; 202 with HCC). Variants in PNPLA3-TM6SF2-GCKR-MBOAT7 were combined in a hepatic fat PRS (PRS-HFC), and then adjusted for HSD17B13 (PRS-5). In the NAFLD cohort, the adjusted impact of genetic risk variants on HCC was proportional to the predisposition to fatty liver (p = 0.002) with some heterogeneity in the effect. PRS predicted HCC more robustly than single variants (p <10^-13). The association between PRS and HCC was mainly mediated through severe fibrosis, but was independent of fibrosis in clinically relevant subgroups, and was also observed in those without severe fibrosis (p <0.05). In the UKBB cohort, PRS predicted HCC independently of classical risk factors and cirrhosis (p <10^-7). In the NAFLD cohort, we identified high PRS cut-offs (≥0.532/0.495 for PRS-HFC/PRS-5) that in the UKBB cohort detected HCC with ~90% specificity but limited sensitivity; PRS predicted HCC both in individuals with (p <10^-5) and without cirrhosis (p <0.05). Our results are consistent with a causal relationship between hepatic fat and HCC. PRS improved the accuracy of HCC detection and may help stratify HCC risk in individuals with dysmetabolism, including those without severe liver fibrosis. Further studies are needed to validate our findings. By analyzing variations in genes that contribute to fatty liver disease, we developed two risk scores to help predict liver cancer in individuals with obesity-related metabolic complications. These risk scores can be easily tested in the clinic. We showed that the risk scores helped to identify the risk of liver cancer both in high-risk individuals and in the general population.

The prevalence and natural course of chronic hepatitis C virus (HCV) infection was evaluated in 15,250 consecutive pregnant women. The rate of HCV vertical and perinatal transmission was also assessed. The presence of anti-HCV was tested by means of EIA III and confirmed by recombinant immunoblot assay III. Alanine transaminase (ALT), anti-human immunodeficiency virus (HIV), and HCV-RNA were tested during the first month and third trimester of pregnancy, and 6 months after delivery; the same tests were made in all of the newborns of anti-HCV-positive mothers at birth (on cord blood samples) and then at 4-month intervals. Anti-HCV positivity was found in 370 cases (2.4%), 72% of whom were also HCV-RNA-positive. The proportion of women with hypertransaminases decreased from 56.4% at the first examination during the first month of pregnancy to 7.4% in the last trimester, and then increased again after delivery (54.5%), without any concomitant changes in the proportion of those with viremia. The proportion of anti-HCV- and HCV-RNA-positive newborns was 5.1% after 1 year (8 of 155), all of whom had the same genotype as their mother. The rate of HCV transmission was not affected by the type of delivery or feeding, or the HIV status of the mother. The results of this large-scale study confirm previous data in smaller series concerning the prevalence of HCV infection in pregnant women, and strongly support the hypothesis of a favorable (possibly immunomediated) effect of pregnancy on liver cell necrosis in anti-HCV-positive women.

Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (P_combined<5 × 10⁻⁸) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine–cytokine pathways, for which relevant therapies exist.