From the Journals

Novel liquid biopsy may identify NASH, fibrosis


 

FROM GUT

A novel liquid biopsy test, which uses two circulating proteins, appears to be effective for diagnosing two major liver conditions, according to a new study published in Gut.

The test could allow clinicians to determine the staging of both liver fibrosis and nonalcoholic steatohepatitis, wrote the researchers led by Giulia Angelini, PhD, a postdoctoral fellow focused on nonalcoholic fatty liver disease pathophysiology at the Catholic University of the Sacred Heart in Rome.

Blood is drawn from a patient ftwitty/E+

“The diagnosis of nonalcoholic steatohepatitis (NASH) currently relies on invasive liver biopsy,” they wrote. “There is, therefore, an urgent need to find noninvasive biomarkers for NASH diagnosis, disease progression, and intervention response monitoring.”

The research team sought to identify a biomarker and algorithm able to predict the presence and severity of nonalcoholic steatohepatitis (NASH) or liver fibrosis. The study evaluated two proteins found in circulating monocytes, which are a type of white blood cell: PLIN2 as a predictor of histological NASH and RAB14 levels as a predictor of liver fibrosis.

The multicenter study included 250 patients, with 100 subjects in the discovery cohort from the Bariatric Surgery Versus Nonalcoholic Steatohepatitis trial, or BRAVES, and 150 subjects in the validation cohort from the Liquid Biopsy for NASH and Liver Fibrosis trial, or LIBRA. The patients had histologically proven nonalcoholic fatty liver disease or NASH with or without fibrosis.

After careful molecular analysis, the research team used neural network classifiers to predict the presence of NASH and NASH stages. The analysis for the prediction of the presence of NASH produced an accuracy of 93% in the discovery cohort and 92% in the validation cohort. Sensitivity and specificity were 95% and 90% in the discovery group and 88% and 100% in the validation group, respectively. The research team also used a neural network analysis to predict the stages of NASH, which showed an accuracy of 85% in the discovery group and 85.2% in the validation cohort.

RAB14 was used to predict liver fibrosis with a logistic model that included waist circumference, age, plasma glucose, high-density lipoprotein, and alanine aminotransferase. In the discovery group, accuracy was 99.2%, sensitivity was 100%, and specificity was 95.8%. In the validation group, accuracy was 97.6%, sensitivity was 99%, and specificity was 89.6%.

When RAB14 was used as the only variable in the model, the accuracy, sensitivity, and specificity in the discovery cohort were 86.4%, 96%, and 45.8%, respectively. In the validation cohort, they were 92.4%, 96.9%, and 34.5%, respectively. In both cohorts, half of the subjects without fibrosis were erroneously predicted as having fibrosis, but the diagnosis of fibrosis was correctly predicted in nearly all subjects.

A limitation of the study is that only White subjects were enrolled, which limits the generalizability to other racial/ethnic groups, the investigators wrote, although they don’t expect differences would be seen in other groups.

“PLIN2 and RAB14 may permit diagnosis of NASH and/or liver fibrosis with a simple blood test,” they wrote. “Our biomarkers can be used in community and population studies permitting to investigate the real prevalence of NASH and liver fibrosis. Moreover, since it requires only blood sampling, they are potentially valuable tools for population-based and prevention studies in children.”

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