Bashir, Mustafa R.

Background: Statins have been associated with a reduced risk of primary liver cancer (PLC), primarily hepatocellular carcinoma (HCC). However, the optimal use for effective protection and whether benefits vary by patient characteristics remain unclear. We evaluated the association between statin use and PLC risk in metabolic-dysfunction-associated steatotic liver disease (MASLD), considering cumulative exposure and potential effect modifiers. Methods: We conducted a retrospective cohort study using the Veteran Affairs electronic health records. Patients with chronically elevated liver enzymes and metabolic dysfunction, without other chronic liver diseases, were identified between 2007 and 2009 and followed through 2019 for incident PLC. Statin exposure was assessed at baseline and during the follow-up, with dose standardization by LDL-lowering potency (simvastatin-equivalent units). Time to PLC was analyzed using Cox models adjusted for covariates, considering potential interactions. Results: Among 329,577 patients (92% male; median age 62 years), 0.82% developed PLC (median follow-up of 9.7 years). Baseline statin use showed a significantly lower PLC risk (adjusted hazard ratio 0.64; 95% CI, 0.57–0.71; p < 0.0001). No significant interaction was observed with age, sex, metabolic syndrome, or cirrhosis. Higher cumulative statin exposure demonstrated a dose-dependent risk reduction, remaining significant at simvastatin-equivalent doses > 15,561 mg annually after accounting for incident cirrhosis. Atorvastatin/rosuvastatin use provided comparable protection, despite different lipophilicity, and demonstrated stronger effects than others. Conclusions: In MASLD, statin therapy was associated with a dose-dependent PLC risk reduction. High-intensity therapy (simvastatin-equivalent > 40 mg daily) conferred substantial protection regardless of age, sex, insulin resistance, or cirrhosis, supporting a potential statin-based PLC chemoprevention in MASLD.

Background: Tobacco smoking during pregnancy is associated with metabolic dysfunction in children, but mechanistic insights remain limited. Hypomethylation of cg05575921 in the aryl hydrocarbon receptor repressor (AHRR) gene is associated with in utero tobacco smoke exposure. In this study, we evaluated whether AHRR hypomethylation mediates the association between maternal smoking and metabolic dysfunction in children. Methods: We assessed metabolic dysfunction using liver fat content (LFC), serum, and clinical data in children aged 7–12 years (n=78) followed since birth. Maternal smoking was self-reported at 12 weeks gestation. Methylation was measured by means of pyrosequencing at 3 sequential CpG sites, including cg05575921, at birth and at ages 7–12. Regression models were used to evaluate whether AHRR methylation mediated the association between maternal smoking and child metabolic dysfunction. Results: Average AHRR methylation at birth was significantly higher among children of nonsmoking mothers compared with children of mothers who smoked (69.8% ± 4.4% vs. 63.5% ± 5.5, p=0.0006). AHRR hypomethylation at birth was associated with higher liver fat content (p=0.01), triglycerides (p=0.01), and alanine aminotransferase levels (p=0.03), and lower HDL cholesterol (p=0.01) in childhood. AHRR hypomethylation significantly mediated associations between maternal smoking and liver fat content (indirect effect=0.213, p=0.018), triglycerides (indirect effect=0.297, p=0.044), and HDL cholesterol (indirect effect = -0.413, p=0.007). AHRR methylation in childhood (n=78) was no longer significantly associated with prenatal smoke exposure or child metabolic parameters (p>0.05). Conclusions: AHRR hypomethylation significantly mediates the association between prenatal tobacco smoke exposure and features of childhood metabolic dysfunction, despite the lack of persistent hypomethylation of AHRR into childhood. Further studies are needed to replicate these findings and to explore their causal and long-term significance.

As the incidence of hepatocellular carcinoma (HCC) and subsequent treatments with liver‐directed therapies rise, the complexity of assessing lesion response has also increased. The Liver Imaging Reporting and Data Systems (LI‐RADS) treatment response algorithm (LI‐RADS TRA) was created to standardize the assessment of response after locoregional therapy (LRT) on contrast‐enhanced CT or MRI. Originally created based on expert opinion, these guidelines are currently undergoing revision based on emerging evidence. While many studies support the use of LR‐TRA for evaluation of HCC response after thermal ablation and intra‐arterial embolic therapy, data suggest a need for refinements to improve assessment after radiation therapy. In this manuscript, we review expected MR imaging findings after different forms of LRT, clarify how to apply the current LI‐RADS TRA by type of LRT, explore emerging literature on LI‐RADS TRA, and highlight future updates to the algorithm.Evidence Level3.Technical EfficacyStage 2.

PurposeChemical shift‐encoded MRI (CSE‐MRI) is well‐established to quantify proton density fat fraction (PDFF) as a quantitative biomarker of hepatic steatosis. However, temperature is known to bias PDFF estimation in phantom studies. In this study, strategies were developed and evaluated to correct for the effects of temperature on PDFF estimation through simulations, temperature‐controlled experiments, and a multi‐center, multi‐vendor phantom study.Theory and MethodsA technical solution that assumes and automatically estimates a uniform, global temperature throughout the phantom is proposed. Computer simulations modeled the effect of temperature on PDFF estimation using magnitude‐, complex‐, and hybrid‐based CSE‐MRI methods. Phantom experiments were performed to assess the temperature correction on PDFF estimation at controlled phantom temperatures. To assess the temperature correction method on a larger scale, the proposed method was applied to data acquired as part of a nine‐site multi‐vendor phantom study and compared to temperature‐corrected PDFF estimation using an a priori guess for ambient room temperature.ResultsSimulations and temperature‐controlled experiments show that as temperature deviates further from the assumed temperature, PDFF bias increases. Using the proposed correction method and a reasonable a priori guess for ambient temperature, PDFF bias and variability were reduced using magnitude‐based CSE‐MRI, across MRI systems, field strengths, protocols, and varying phantom temperature. Complex and hybrid methods showed little PDFF bias and variability both before and after correction.ConclusionCorrection for temperature reduces temperature‐related PDFF bias and variability in phantoms across MRI vendors, sites, field strengths, and protocols for magnitude‐based CSE‐MRI, even without a priori information about the temperature.

Loss of muscle mass and function, or sarcopenia, is a common feature of cirrhosis and contributes significantly to morbidity and mortality in this population. Sarcopenia is a main indicator of adverse outcomes in this population, including poor quality of life, hepatic decompensation, mortality in patients with cirrhosis evaluated for liver transplantation (LT), longer hospital and intensive care unit stay, higher incidence of infection following LT, and higher overall health care cost. Although it is clear that muscle mass is an important predictor of LT outcomes, many questions remain, including the best modality for assessing muscle mass, the optimal cut‐off values for sarcopenia, the ideal timing and frequency of muscle mass assessment, and how to best incorporate the concept of sarcopenia into clinical decision making. For these reasons, we assembled a group of experts to form the North American Working Group on Sarcopenia in Liver Transplantation to use evidence from the medical literature to address these outstanding questions regarding sarcopenia in LT. We believe sarcopenia assessment should be considered in all patients with cirrhosis evaluated for liver transplantation. Skeletal muscle index (SMI) assessed by computed tomography constitutes the best‐studied technique for assessing sarcopenia in patients with cirrhosis. Cut‐off values for sarcopenia, defined as SMI < 50 cm 2 /m 2 in male and < 39 cm 2 /m 2 in female patients, constitute the validated definition for sarcopenia in patients with cirrhosis. Conclusion: The management of sarcopenia requires a multipronged approach including nutrition, exercise, and additional pharmacological therapy as deemed necessary. Future studies should evaluate whether recovery of sarcopenia with nutritional management in combination with an exercise program is sustainable as well as how improvement in muscle mass might be associated with improvement in clinical outcomes.