Automated fibrosis phenotyping of liver tissue from non-tumor lesions of patients with and without hepatocellular carcinoma after liver transplantation for non-alcoholic fatty liver disease

BACKGROUND

Fibrosis is the most important pathological feature in predicting development of Hepatocellular carcinoma (HCC). However, the incidence rate of HCC in patients with non-alcoholic fatty liver disease (NAFLD) is relatively low. We evaluated phenotypic histological features to differentiate HCC from non-HCC in patients with non-tumor lesions of cirrhotic livers.

METHODS

Seventeen patients with NAFLD who underwent liver transplantation were enrolled. FibroNest was used to quantify histological phenotypes of non-tumor fibrosis lesions. Quantification included collagen content and structure traits, fiber morphometric traits, and fibrosis architecture traits. Each trait was described by up to seven quantitative fibrosis traits (qFTs). Among the qFTs measured in each specimen, those that described most of the variability between consecutive groups were automatically detected and combined into a normalized Phenotypic Composite Fibrosis Score (Ph-CFS). We trained FibroNest to identify the principal traits that differentiate HCC from non-HCC.

RESULTS

HCC was found in 8 cases and non-HCC in 9 cases. The Ph-CFS significantly differentiated HCC from non-HCC (4.6 vs. 5.9, p < 0.05). Individual qFTs for morphometric features including collagen fiber length, width, perimeter, and area denoted significant differences between HCC and non-HCC. The Ph-CFS could be used to distinguish HCC (Ph-FCS < 5.0) from non-HCC (Ph-FCS ≥ 5.0) with 75% sensitivity and 100% specificity.

CONCLUSION

In patients who underwent liver transplantation, fibrotic histological phenotypes in non-tumor lesions appeared to be different between HCC and non-HCC. Phenotypic analysis of collagen in non-tumor lesions might be an effective and automated method to distinguish HCC from non-HCC on histopathology imaging.

Blood carnitine profiling on tandem mass spectrometry in liver cirrhotic patients

BACKGROUND

The level and profiles of blood free carnitine and acylcarnitines, obtained by acylcarnitine analysis using tandem mass spectrometry, reflect various metabolic conditions. We aimed to examine the level of free carnitine and acylcarnitines in liver cirrhosis patients by acylcarnitine analysis and determine the clinical and subjective factors associated with blood carnitine fraction levels in liver cirrhosis.

METHODS

We compared blood carnitine fractions in 54 liver cirrhotic patients to other laboratory test results and questionnaire answers.

RESULTS

In almost all patients, the blood levels of free carnitine (C0) and acetylcarnitine (C2) were within the normal reference range. However, in some patients, the levels of long-chain acylcarnitines, such as C16 and C18:1-acylcarnitine, were higher than the normal reference range. Liver function, assessed by Child-Pugh score, was significantly correlated with the blood level of each carnitine fraction measured (C0, C2, C3, C4, C6, C10, C12, C12:1, C14:1, C16, C18:1, and C18:2-acylcarnitine). Cirrhotic symptom score was significantly correlated with C0, C2, C3, C16, and C18-1-acylcarnitine blood levels. Among the 36-item short-form health survey (SF-36) items, the physical component summary was significantly associated with C0, C2, and C18-1-acylcarnitine blood levels.

CONCLUSIONS

Carnitine fraction levels were positively correlated with liver cirrhosis stage, particularly, long-chain acylcarnitines. Moreover, carnitine fraction levels were associated with various subjective physical symptoms in liver cirrhosis patients.