Nomogram for cirrhosis in patients with chronic hepatitis B: A simple self-assessed scale for individual risk of cirrhosis

Mucosal-Associated Invariant T Cell Dysregulation Correlates With Conjugated Bilirubin Level in Chronic HBV Infection

BACKGROUND AND AIMS

Mucosal-associated invariant T (MAIT) cells are nonconventional T cells restricted to major histocompatibility complex class I-related protein 1 (MR1). They are highly abundant in human liver and activated by T-cell receptor (TCR)-dependent and TCR-independent mechanisms to exhibit rapid, innate-like effector responses. However, the roles of MAIT cells in chronic HBV infection are still open for study. This study aims to test their antiviral potential and investigate their dynamic changes and regulating factors during chronic HBV infection.

APPROACH AND RESULTS

Blood samples from 257 chronic HBV-infected patients were enrolled, and nontumor liver specimens were collected from 58 HBV-infected HCC patients. Combining cell-culture experiments and human data, we showed that MAIT cells had strong cytotoxicity against HBV-transfected hepatocytes in an MR1-dependent way. However, circulating and hepatic MAIT cells in HBV-infected patients decreased significantly compared to controls. Correlation analysis suggested that MAIT cell frequency was associated with disease progression and inversely correlated with serum-conjugated bilirubin level. In particular, conjugated bilirubin not only directly promoted MAIT cell activation and apoptosis, but also impaired TCR-induced proliferation and expansion of MAIT cells, which could be partially rescued by IL-2 in the absence of conjugated bilirubin. Despite that MAIT cells from patients with high conjugated bilirubin levels showed decreased cytokine-producing capacity, the increased TCR-dependent antiviral cytokine production suggested MAIT cells as an important guardian of chronic HBV with high conjugated bilirubin.

CONCLUSIONS

We reveal the MR1-dependent, anti-HBV potential of MAIT cells and identify conjugated bilirubin as a major factor dysregulating its frequency and function in chronic HBV-infected patients, suggesting a therapeutic target for MAIT-cell-based immunity against chronic HBV infection.

A nomogram for discrimination of non-alcoholic fatty liver disease in patients with chronic hepatitis B

OBJECTIVES

Comorbid of non-alcoholic fatty liver disease (NAFLD) in chronic hepatitis B (CHB) patients is common but no simple noninvasive diagnostic methods are available for the identification. This study aims to develop a noninvasive nomogram for accurate detection of NAFLD in CHB patients.

PATIENTS AND METHODS

This study included 535 liver biopsy-proven CHB patients with or without comorbid NAFLD. Independent risk factors of NAFLD were identified by multivariate logistic regression analysis. The risk factors identified were then incorporated into the nomogram. Performance of the nomogram was assessed by calibration, receiver operating characteristic (ROC) curve and decision curve analysis.

RESULTS

Of the 535 patients, 100 patients (18.69%) were diagnosed as CHB/NAFLD and 435 patients (81.31%) as simple CHB. Body mass index, serum uric acid and low-density lipoprotein cholesterol levels and diabetes mellitus were independent risk factors of NAFLD. The nomogram incorporating these 4 factors had an area under ROC curve (AUC) of 0.864, achieved good concordance index of 0.864 (95% confidence interval: 0.832-0.892) for predicting NAFLD in the patients and had well-fitted calibration curves. The nomogram had a significantly higher AUC than some previously reported models. The decision curve analysis yielded larger net benefit.

CONCLUSION

This study developed a simple, noninvasive, effective and convenient nomogram that achieved an optimal detection of NAFLD in CHB patients. Using this nomogram, the risk for an individual patient to have NAFLD could be discriminated, leading to a rational clinical management.

Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis

BACKGROUND

Preoperative discrimination between nonmuscle-invasive bladder carcinomas (NMIBC) and the muscle-invasive ones (MIBC) is very crucial in the management of patients with bladder cancer (BC).

PURPOSE

To evaluate the discriminative performance of multiparametric MRI radiomics features for precise differentiation of NMIBC from MIBC, preoperatively.

STUDY TYPE

Retrospective, radiomics.

POPULATION

Fifty-four patients with postoperative pathologically proven BC lesions (24 in NMIBC and 30 in MIBC groups) were included.

FIELD STRENGTH/SEQUENCE

3.0T MRI/T₂ -weighted (T₂ W) and multi-b-value diffusion-weighted (DW) sequences.

ASSESSMENT

A total of 1104 radiomics features were extracted from carcinomatous regions of interest on T₂ W and DW images, and the apparent diffusion coefficient maps. Support vector machine with recursive feature elimination (SVM-RFE) and synthetic minority oversampling technique (SMOTE) were used to construct an optimal discriminative model, and its performance was evaluated and compared with that of using visual diagnoses by experts.

STATISTICAL TESTS

Chi-square test and Student's t-test were applied on clinical characteristics to analyze the significant differences between patient groups.

RESULTS

Of the 1104 features, an optimal subset involving 19 features was selected from T₂ W and DW sequences, which outperformed the other two subsets selected from T₂ W or DW sequence in muscle invasion discrimination. The best performance for the differentiation task was achieved by the SVM-RFE+SMOTE classifier, with averaged sensitivity, specificity, accuracy, and area under the curve of receiver operating characteristic of 92.60%, 100%, 96.30%, and 0.9857, respectively, which outperformed the diagnostic accuracy by experts.

DATA CONCLUSION

The proposed radiomics approach has potential for the accurate differentiation of muscle invasion in BC, preoperatively. The optimal feature subset selected from multiparametric MR images demonstrated better performance in identifying muscle invasiveness when compared with that from T₂ W sequence or DW sequence only.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1489-1498.