What's New in Hepatic Steatosis

Therapeutic effects of blue mussel-derived peptides (PIISVYWK and FSVVPSPK) on non-alcoholic fatty liver disease by modulating lipid metabolism and inflammation in high-fat diet-induced mice

Non-alcoholic fatty liver disease (NAFLD) is a progressive condition, advancing from simple hepatic lipid accumulation to inflammation, fibrosis, and increased risk of mortality. This study explores the therapeutic efficacy of bioactive peptides PIISVYWK (P1) and FSVVPSPK (P2) in ameliorating NAFLD in both oleic acid-treated HepG2 cells and high-fat diet (HFD)-induced mice. Our findings demonstrated that P1 and P2 significantly reduced hepatic fat deposition, enhanced lipolysis by promoting the release of free glycerol and free fatty acids, and suppressed key de novo lipogenesis-related proteins, including peroxisome proliferator-activated receptor γ (PPARγ), CCAAT-enhancer-binding protein α (C/EBPα), sterol regulatory element-binding protein 1 (SREBP-1), and fatty acid synthase (FAS). Furthermore, both peptides stimulated fatty acid oxidation via phosphorylation of AMP-activated protein kinase (AMPK) and hormone-sensitive lipase (HSL). Notably, reductions in body and liver weight, along with improved cholesterol profiles and liver function markers (alanine transaminase and aspartate aminotransferase), were observed in HFD mice. Additionally, P1 and P2 significantly attenuated the production of pro-inflammatory cytokines, such as tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) in both in vitro and in vivo models. Collectively, these results highlight the potent therapeutic potential of P1 and P2 in mitigating NAFLD progression, offering a promising intervention for this increasingly prevalent metabolic disorder.

Evaluation of hepatosteatosis and gallstone disease in patients with chronic kidney disease

INTRODUCTION

The prevalence rates of hepatosteatosis and gallstones are increasing owing to the multifactorial causes of chronic kidney disease, and the prevalence may change with the availability of different forms of renal replacement therapy. We aimed to determine the incidence or prevalence rates of hepatosteatosis, cholelithiasis, and acute cholecystitis in patients with chronic kidney disease and compare them between renal replacement therapy modalities.

METHODS

A total of 270 patients (90 with chronic kidney disease stages III-V, 90 undergoing peritoneal dialysis, and 90 undergoing hemodialysis) were included and categorized into the pre-dialysis, hemodialysis, and peritoneal dialysis groups. The patients were questioned about previous gallbladder surgeries and chronic diseases. The results of abdominal ultrasonography, tomography, and magnetic resonance imaging were retrospectively evaluated with respect to the findings on the hepatobiliary system. Hepatosteatosis and cholelithiasis were diagnosed by expert radiologists on the basis of abdominal ultrasonography, tomography, and magnetic resonance imaging findings. The prevalence rates of hepatosteatosis, cholelithiasis, and other liver findings were compared between the groups.

FINDINGS

Hepatosteatosis and cholelithiasis were detected in 16.7% and 21.5% of the 270 cases, respectively. Hepatosteatosis was present in 17.8%, 25.6%, and 6.7% of patients in the pre-dialysis, hemodialysis, and peritoneal dialysis groups, respectively. The prevalence of hepatosteatosis was significantly higher in patients undergoing hemodialysis than in patients undergoing peritoneal dialysis (p = 0.002). However, no statistically significant difference was found between the peritoneal dialysis and pre-dialysis groups or between the hemodialysis and pre-dialysis groups (p >0.05). The prevalence rates of cholelithiasis were 15.6%, 28.9%, and 20.0%, in the pre-dialysis, hemodialysis, and peritoneal dialysis groups, respectively, and there were no statistically significant differences among the groups. The incidence of acute cholecystitis was significantly higher in the hemodialysis group than in the pre-dialysis group (p = 0.006).

DISCUSSION

Our study showed that the hepatobiliary system is frequently affected in chronic kidney disease and that the findings may differ depending on the renal replacement therapy modality.

Fatty liver index (FLI): more than a marker of hepatic steatosis

Fatty liver index (FLI) was developed as a simple and accurate marker of hepatic steatosis. FLI is derived from an algorithm based on body mass index, waist circumference, and levels of triglycerides and gamma-glutamyltransferase, and it is widely used in clinical and epidemiological studies as a screening tool for discriminating between healthy and nonalcoholic fatty liver disease (NAFLD) subjects. However, a systematic review of the literature regarding FLI revealed that this index has more extensive relationships with biochemical and physiological parameters. FLI is associated with key parameters of lipid, protein and carbohydrate metabolism, hormones, vitamins and markers of inflammation, or oxidative stress. FLI can be a predictor or risk factor for a number of metabolic and nonmetabolic diseases and mortality. FLI is also used as an indicator for determining the effects of health-related prevention interventions, medications, and toxic substances on humans. Although in most cases, the exact mechanisms underlying these associations have not been fully elucidated, they are most often assumed to be mediated by insulin resistance, inflammation, and oxidative stress. Thus, FLI may be a promising marker of metabolic health due to its multiple associations with parameters of physiological and pathological processes. In this context, the present review summarizes the data from currently available literature on the associations between FLI and biochemical variables and physiological functions. We believe that this review will be of interest to researchers working in this area and can provide new perspectives and directions for future studies on FLI.

Correlation between CT Abdominal Anthropometric Measurements and Liver Density in Individuals with Non-Alcoholic Fatty Liver Disease

Background: With a growing frequency, nonalcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. NAFLD has a strong correlation with other metabolic disorders, such as obesity, particularly abdominal obesity, even though the underlying causes or risk factors are not entirely understood. This study aims to investigate correlations between abdominal anthropometric measurements and the presence and intensity of liver steatosis as assessed by unenhanced computed tomography (CT). Methods: One hundred and nineteen patients (male/female, 66/53; mean age 54.54 +/− 12.90 years) underwent abdominal non–contrast-enhanced CT. CT images were examined to determine the attenuation of liver parenchyma, subcutaneous fat depth, and waist circumference (WC). Results: Among all patients, WC (r = −0.78, p < 0.0001), infraumbilical subcutaneous fat thicknesses (r = −0.51, p < 0.0001), right paraumbilical subcutaneous fat thicknesses (r = −0.62, p < 0.0001), and left paraumbilical subcutaneous fat thicknesses (r = −0.53, p < 0.0001) had a high inverse correlation with the liver attenuation values. The presence of T2D (OR: 2.40, p = 0.04), WC (OR: 11.45, p < 0.001), right paraumbilical (OR: 10.09, p < 0.001), left paraumbilical (OR: 2.81, p = 0.01), and infraumbilical (OR: 3.06, p = 0.007) were strongly independent predictors of NAFLD risk. Moreover, regarding the laboratory parameters, only the higher value of GGT (OR: 2.84, p = 0.009) is a predictor of NAFLD risk. Conclusions: Our data show that higher baseline values of all abdominal anthropometric measurements are correlated with liver attenuation and act as predictors of NAFLD risk.

Hepatic steatosis with mass effect: A case report

BACKGROUND

Hepatic steatosis is a common radiologic finding. Some imaging inklings are the absence of a mass effect, and there is currently no report of hepatic steatosis with mass effect.

CASE SUMMARY

A 23-year-old female was admitted due to a liver mass for half a month. No obvious abnormalities were found in physical and laboratory examinations. Ultrasound, computed tomography, and magnetic resonance imaging showed a huge mass between the liver and stomach with a significant mass effect, and the caudate lobe and left lobe of the liver were involved. The signal on T2- and T1- weighted fat-saturated images of the mass was significantly reduced, and the enhanced scan showed inhomogeneous enhancement. Surgical and pathological findings indicated the diagnosis of hepatic steatosis. The operation and re-review of the patient's images showed that the lesion was supplied by the branch of the hepatic artery. The signal on T1-weighted out-of-phase images of the lesion was lower than on in-phase images, and there was no black rim cancellation artifact around the hepatic steatosis area on T1-weighted out-of-phase images. The dynamic enhancement pattern of the lesion was similar to that of the adjacent normal liver parenchyma. The above characteristics suggested that the lesion was hepatic steatosis. However, in this case, the lesion showed exogenous growth and was mass-like, with an obvious mass effect, which has not been reported previously.

CONCLUSION

Hepatic steatosis could grow exogenously and has an obvious mass effect. It needs to be distinguished from fat-rich tumors. The T1-weighted in- and out-of-phase images and dynamic enhanced scanning are valuable for differential diagnosis of this lesion.

Computed Tomography Image Analysis of Body Fat Based on Multi-Image Information

Body fat assessment is required as part of an objective health assessment, both for nonobese and obese people. Image-based body fat assessment will enable faster diagnosis. Body fat analysis that accounts for age and sex will help in both diagnosis and correlating diseases and fat distribution. After evaluating computed tomography imaging algorithms to identify and segment human abdominal and subcutaneous fat, we present an improved region growing scale-invariant feature transform algorithm. It applies Naive Bayes image thresholding for key point selection and image matching. This method enables rapid and accurate comparison and matching of images from multiple databases and improves the efficiency of image processing.

Clinical evaluation of grayscale and linear scale hepatorenal indices for fatty liver quantification: a prospective study of a native Chinese population

BACKGROUND AND AIMS

Hepato-renal index (HRI) has been investigated extensively in various clinical studies. New linear scale HRI (LS-HRI) is proposed as an alternative to conventional grayscale HRI (GS-HRI) that suffers from lack of a widely accepted cut-off value for differentiation of fatty from normal livers. To investigate the diagnostic performance of conventional GS-HRI and new LS-HRI for a relatively large Chinese population with NAFLD using a well-established ultrasonographic fatty liver indicator (US-FLI) as the reference standard for steatosis grades.

MATERIALS AND METHODS

A total of 106 patients with various stages of NAFLD were prospectively enrolled. All ultrasound images for these patients were first acquired by a highly experienced ultrasound doctor and their US-FLI scores then obtained by the same doctor. Both GS-HRI and LS-HRI values were measured off-line by two additional ultrasound doctors. Four steatosis grades were determined from US-FLI scores for steatosis detection and staging.

RESULTS

Inter-observer agreements for both GS-HRI and LS-HRI were excellent with the respective concordance correlation coefficient (CCC) of 0.900 for GS-HRI and 0.822 for LS-HRI. A linear correlation to US-FLI for LS-HRI (R = 0.74) was substantially superior to that for GS-HRI (R = 0.46). LS-HRI had a sensitivity of 85.9% and a specificity of 96.3% to differentiate steatosis from the normal liver (AUROC: 95.5%) while GS-HRI had a sensitivity of 85.9% and a specificity of 92.6% to distinguish steatosis from the normal liver (AUROC: 94.7%).

CONCLUSIONS

Both GS-HRI and LS-HRI measurements are reproducible between two ultrasonographic clinicians and are evidently effective for steatosis detection.