Clinical profiles and mortality rates are similar for metabolic dysfunction-associated steatotic liver disease and non-alcoholic fatty liver disease

Impact of cardiometabolic risk factors for metabolic dysfunction-associated steatotic liver disease on mortality

BACKGROUND AND AIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a potential independent risk factor for cardiovascular disease (CVD)-associated and all-cause mortalities as they share common risk factors. We investigated the association between cardiometabolic risk factors for MASLD and CVD-associated and all-cause mortality risks in middle-aged and older Korean adults.

METHODS AND RESULTS

We used data from the Korean Genome and Epidemiology Study, a population-based prospective cohort study. Five cardiometabolic risk factors were assessed. MASLD was defined as liver steatosis with a fatty liver index (FLI) ≥60 and at least one cardiometabolic risk factor. The non-MASLD group included individuals with a FLI <60 or FLI ≥60 without cardiometabolic risk factors. The primary outcomes were CVD-associated and all-cause mortalities. Cox proportional hazard models were used to evaluate the association between cardiometabolic risk factors for MASLD and mortalities, adjusting for covariates. Multivariable Cox regression analysis revealed that the MASLD group had increased CVD-associated and all-cause mortality risks compared to the non-MASLD group. The presence of three or more and one or more cardiometabolic risk factors significantly increased the CVD-associated and all-cause mortality rate, respectively. The combination of hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), and high glucose concentrations significantly increased both CVD-associated (hazard ratio [HR] 3.64; 95 % confidence interval [CI] 1.44-9.22; p = 0.006) and all-cause (HR 4.57; 95 % CI: 1.74-12.05; p = 0.002) mortality risks.

CONCLUSION

Cardiometabolic risk factors for MASLD are strongly associated with higher CVD-associated and all-cause mortality risks, highlighting the need to manage hypertriglyceridemia, low HDL-C, and high glucose concentrations.

Vascular endothelial growth factor A, a potential non-invasive biomarker for metabolic dysfunction-associated steatotic liver disease progression

INTRODUCTION AND OBJECTIVES

Liver fibrosis is the primary predictor of complications in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). However, there are currently no non-invasive prognostic tests to stratify patients at risk for hepatic fibrosis progression. This study aimed to explore whether plasma proteins could serve as non-invasive biomarkers for monitoring MASLD disease progression.

MATERIALS AND METHODS

Blood plasma protein analysis was performed on samples from a long-term follow-up study of patients with MASLD with repeated liver biopsies. Over 1100 proteins covering a broad range of biological processes were analyzed using 13 Olink® Target 96 panels. Protein level changes were compared between the different time points and between patients with or without an increase in the liver fibrosis stage between the two biopsies.

RESULTS

Increased vascular endothelial growth factor A (VEGFA) plasma levels were significantly associated with liver fibrosis progression in patients with a histologically assessed increase in the fibrosis stage.

CONCLUSIONS

These findings suggest that the plasma protein VEGFA may be an effective biomarker for monitoring fibrosis progression in patients with MASLD.

Dietary fiber intake, genetic predisposition of gut microbiota, and the risk of metabolic dysfunction-associated steatotic liver disease

This study aimed to explore the association between dietary fiber intake and the risk of metabolic dysfunction-associated steatotic liver disease (MASLD), as well as liver fat content, while considering genetic predispositions of MASLD, gut microbial abundance, and butyrate levels. This study analyzed data from 190,276 participants in the UK Biobank. Dietary fiber intake was assessed using 24-h dietary recall. MASLD cases were diagnosed through hospital admission records and death registries, and liver fat content was measured via magnetic resonance imaging. The genetic predispositions of MASLD, gut microbial abundance, and butyrate levels were evaluated using single nucleotide polymorphisms. Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs). Over a median follow-up of 10.49 years, 1423 MASLD cases were recorded. Elevated dietary fiber intake was associated with a reduced risk of MASLD (HR: 0.72; 95 % CI: 0.58, 0.90) and a lower level of liver fat content (β: -0.97; 95 % CI: -1.21, -0.73) (all P for trend <0.05). Restricted cubic spline analyses further confirmed the linear inverse associations between fiber intake and the risk of MASLD. Notably, the negative associations between dietary fiber intake and both MASLD and liver fat content were consistent across different genetic predispositions of gut microbial abundance and butyrate levels. Moreover, the inverse association between dietary fiber intake and liver fat was strengthened by high genetic susceptibility of MASLD and elevated body mass index (both P for interaction <0.05). Overall, increased dietary fiber consumption was associated with a lower MASLD risk and decreased liver fat content regardless of genetic predispositions of gut microbial abundance and butyrate levels.

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation

BACKGROUND

Most forms of obesity are associated with chronic diseases that remain a global public health challenge.

AIMS

Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation.

MATERIALS AND METHODS

This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood.

RESULTS

The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies.

DISCUSSION

The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity.

CONCLUSION

This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.

Nanoplastics disrupt hepatic lipid metabolism via the inhibition of PPARγ: a study based on digestive system exposure

Nanoplastics (NPs) are emerging environmental contaminants capable of crossing biological barriers and accumulating in organs such as the liver, raising growing concerns about their potential contribution to nonalcoholic fatty liver disease (NAFLD). Notably, bottled water has been recognised as a major daily source of NP exposure. However, the associations between NP exposure and NAFLD onset, as well as the mechanistic basis, remain unclear. To investigate this, we analysed data from the NHANES 2013-2016 cycles, using daily bottled water intake to estimate NP exposure and the hepatic steatosis index (HSI) as an indicator of liver fat accumulation. Animal and cellular experiments were conducted to evaluate NP-induced hepatic alterations. Additionally, transcriptomic analysis of liver tissues was performed, and integration with DisGeNET and the Comparative Toxicogenomics Database (CTD) enabled bioinformatic analyses and identification of key regulatory pathways. Epidemiological results revealed a significant positive correlation between bottled water consumption and HSI. Experimental findings demonstrated that NP exposure induced liver vacuolisation, oxidative damage, metabolic disruption, and inflammation in both in vivo and in vitro models. Transcriptomic and database integration revealed that NP exposure suppressed the PPAR signalling pathway, particularly by downregulating PPARγ expression, with excessive ROS generation likely contributing to this inhibition. These results were summarised in an adverse outcome pathway (AOP) framework, illustrating how NP exposure may impair PPARγ signalling and promote hepatic lipid accumulation. In conclusion, this study provides evidence that environmental NP exposure may be a contributing factor to NAFLD development and highlights the potential public health impact of the intake of NPs from bottled water.

Liver cirrhosis in metabolic dysfunction-associated steatohepatitis

In the present narrative review, we have summarized the current evidence on the natural progression of metabolic dysfunction-associated steatohepatitis (MASH) cirrhosis observed through the placebo arm in clinical trials and observational studies. The outcomes scrutinized throughout our review were histology-related changes, non-invasive fibrosis markers, indicators of decompensation, end-stage hepatic complications, and mortality reported during the different clinical trials. Given the short duration of clinical trials, observational studies were included to obtain better insight into the long-term progression and prognosis of MASH cirrhosis. Lastly, new updates about MASH cirrhosis treatments were listed, and the results of these randomized clinical trials were described to enhance our understanding of our current standing in the treatment of MASH cirrhosis.

Clinical Insights on Resmetirom: Clinical Indications, Patient Selection, and Monitoring Response to Therapy

The recent conditional approval by the Food and Drug Administration of resmetirom for treating metabolic dysfunction-associated steatohepatitis (MASH) with significant or advanced fibrosis represents a pivotal milestone in the history of metabolic dysfunction-associated steatotic liver disease (MASLD) treatment. As the first liver-directed pharmacological therapy option for MASLD, resmetirom offers a novel approach that specifically targets liver pathology, marking a transformative step forward in managing this widespread and challenging condition. For initiating therapy with resmetirom, a liver biopsy is not required. Consequently, accurately excluding patients with less severe liver histology or cirrhosis using noninvasive tests (NITs) is essential. In addition, monitoring the therapy response should be conducted using NITs. Given the recent approval, our current clinical understanding of resmetirom is primarily informed by phase 3 clinical trials. The long-term effects of the drug should be evaluated in further studies by encouraging the use of the drug in eligible patients. This review highlights key aspects of clinical resmetirom use, including identifying the target population, monitoring therapeutic response, determining appropriate discontinuation criteria, and strategies to prevent unnecessary treatment interruptions.

Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy

Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of various diseases. The main pathogenic mechanisms include impaired intestinal mucosal barrier function, inflammation activation, immune dysregulation, and metabolic abnormalities. These mechanisms involve dysfunctions in the gut-brain axis, gut-liver axis, and others to cause broader effects. Although the association between diseases caused by dysbiosis has been extensively studied, many questions remain regarding the specific pathogenic mechanisms and treatment strategies. This review begins by examining the causes of gut microbiota dysbiosis and summarizes the potential mechanisms of representative diseases caused by microbiota imbalance. It integrates clinical evidence to explore preventive and therapeutic strategies targeting gut microbiota dysregulation, emphasizing the importance of understanding gut microbiota dysbiosis. Finally, we summarized the development of artificial intelligence (AI) in the gut microbiota research and suggested that it will play a critical role in future studies on gut dysbiosis. The research combining multiomics technologies and AI will further uncover the complex mechanisms of gut microbiota dysbiosis. It will drive the development of personalized treatment strategies.

Μetabolic dysfunction-associated steatotic liver disease: a condition of heterogeneous metabolic risk factors, mechanisms and comorbidities requiring holistic treatment

Μetabolic dysfunction-associated steatotic liver disease (MASLD) comprises a heterogeneous condition in the presence of steatotic liver. There can be a hierarchy of metabolic risk factors contributing to the severity of metabolic dysfunction and, thereby, the associated risk of both liver and extrahepatic outcomes, but the precise ranking and combination of metabolic syndrome (MetS) traits that convey the highest risk of major adverse liver outcomes and extrahepatic disease complications remains uncertain. Insulin resistance, low-grade inflammation, atherogenic dyslipidaemia and hypertension are key to the mechanisms of liver and extrahepatic complications. The liver is pivotal in MetS progression as it regulates lipoprotein metabolism and secretes substances that affect insulin sensitivity and inflammation. MASLD affects the kidneys, heart and the vascular system, contributing to hypertension and oxidative stress. To address the global health burden of MASLD, intensified by obesity and type 2 diabetes mellitus epidemics, a holistic, multidisciplinary approach is essential. This approach should focus on both liver disease management and cardiometabolic risk factors. This Review examines the link between metabolic dysfunction and liver dysfunction and extrahepatic disease outcomes, the diverse mechanisms in MASLD due to metabolic dysfunction, and a comprehensive, personalized management model for patients with MASLD.

Nocturnal hypertension represents an uncontrolled burden in patients with metabolic dysfunction-associated steatotic liver disease

BACKGROUNDAIMS

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for cardiovascular morbidity and mortality. Another critical risk factor in these patients is arterial hypertension (AH). Although it is estimated that 50% of MASLD patients are suffering from AH, 24-h ambulatory blood pressure monitoring (24-h-ABPM), the gold standard for diagnosing hypertension, is often neglected. However, only 24-h-ABPM can identify hypertension subtypes, particularly nocturnal hypertension (NH), which is a stronger predictor of cardiovascular mortality than daytime or 24-h blood pressure. The aim of this study was to investigate the prevalence of NH in MASLD patients and to identify associated risk factors.

METHODS

To this end, 226 MASLD patients with or without known AH were prospectively recruited in an outpatient liver department and underwent 24-h-ABPM together with repeated office-blood-pressure measurements.

RESULTS

24-h-ABPM datasets from 218 patients were included in the final analysis. NH was observed in 112 patients (51.3%), of whom 54 (48.2%) were receiving antihypertensive treatment (uncontrolled hypertension). Univariable regression analysis showed that age, increased waist-to-hip ratio, a waist-to-height ratio ≥0.5, type 2 diabetes mellitus (T2DM), dyslipidemia, a lower estimated glomerular filtration rate and increased liver stiffness were significantly associated with a higher risk of NH. In multivariable regression analysis, T2DM [odds ratio (OR) 2.56; 95% confidence interval (CI) 1.09-6.23; P  = 0.033], dyslipidemia (OR 3.30; 95% CI, 1.67-6.73; P  = 0.001) and liver stiffness (OR 1.09; 95% CI, 1.02-1.18; P  = 0.021) were identified as independent risk factors.

CONCLUSIONS

In conclusion, particularly MASLD patients with accompanying T2DM, dyslipidemia, and increased liver stiffness should undergo 24-h-ABPM to detect and treat NH, as they are at the highest risk of adverse cardiovascular events.

CLINICAL TRIAL

NCT-04543721.

Impact of healthy lifestyles on the risk of metabolic dysfunction-associated steatotic liver disease among adults with comorbid hypertension and diabetes: Novel insight from a largely middle-aged and elderly cohort in South China

AIMS

The association between lifestyle and metabolic dysfunction-associated steatotic liver disease (MASLD) has been well documented. However, evidence is still limited from vulnerable populations, especially middle-aged and elderly adults with comorbid hypertension and diabetes, who are at higher risk of developing MASLD than the general population. We aimed to examine the potential causal links of a healthy lifestyle with the risk of MASLD in this vulnerable population.

MATERIALS AND METHODS

A total of 41,964 middle-aged and elderly participants with comorbid hypertension and diabetes were included in a longitudinal cohort from 2010 to 2023. Weighted scores for lifestyle were evaluated by exercise frequency, alcohol consumption, smoking status and salt intake. Marginal structural models were used to estimate the single lifestyle-MASLD associations, which were further risk stratified by quartile ranges of weighted scores.

RESULTS

A mean follow-up period of 5.2 years (217 972 person-years) revealed that 21 697 participants developed MASLD. The hazard ratio (HR) of daily exercise, never consuming alcohol, never smoking and low salt intake for the risk of MASLD was 0.617 (95% confidence interval: 0.365 ~ 1.042), 0.237 (0.093 ~ 0.603), 0.153 (0.097 ~ 0.240) and 0.945 (0.919 ~ 0.971), respectively. Compared with weighted scores that were below the 25th percentile, the HR was 0.952 (0.902 ~ 1.005), 0.747 (0.694 ~ 0.803) and 0.097 (0.065 ~ 0.144) for the 25th, 50th and 75th percentiles, respectively.

CONCLUSIONS

In this vulnerable population, daily exercise, abstinence from alcohol and smoking and a low-salt diet may reduce the risk of MASLD, and the most stringent combination of healthy lifestyles could reduce the risk of MASLD by over 90%.

Association between metabolic dysfunction-associated steatotic liver disease, metabolic dysfunction subtypes and risk of colorectal cancer: A prospective cohort study

BACKGROUND

To evaluate the association between a new definition of metabolic dysfunction-associated steatotic liver disease (MASLD), different metabolic dysfunction subtypes and risk of colorectal cancer(CRC).

METHODS

A total of 99,979 participants who met the criteria were included from the Kailuan Study. Participants were categorized into three groups based on fatty liver disease and metabolic status: Non-SLD with metabolic normal group(NMN), Non-SLD with metabolic abnormal group(NMA) and MASLD group. Incident of CRC were confirmed by review of medical records. The Cox proportional hazard regression models were used to assess the association MASLD with the risk of CRC by calculating the hazard ratios (HR) and 95 % confidence interval (CI).

RESULTS

During a mean 13.54 ± 2.78 years of follow-up, we documented 669 CRC. Multivariate Cox regression analysis showed that compared with the NMN group, MASLD participants demonstrated an increased risk of developing CRC (HR 1.54 95 %CI 1.12-2.13). The greater the number of metabolic dysfunctions, the greater the risks of CRC (P < 0.05). The HR for CRC was 1.93 (95 % CI 1.27-2.92) in MASLD participants with 4-5 items of metabolic dysfunctions. In the subtype analysis, the HR for CRC was 1.97 (95 % CI 1.13-3.45) in lean-MASLD participants and 1.55(95 %CI 1.12-2.15) in diabetes-MASLD participants.

CONCLUSION

MASLD was associated with increased risk of CRC. Moreover, MASLD individuals who complicated by lean or diabetes have an increased risk of developing CRC.

Are glyphosate or glyphosate-based herbicides linked to metabolic dysfunction-associated steatotic liver disease (MASLD)? The weight of current evidence

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects around 30 % of the world's population, increasing its prevalence by 50 % in the last three decades. MASLD pathogenesis is considered multiaxial, involving disturbances in the liver, adipose tissue (AT), and gut microbiome. In parallel with MASLD increasing trends, the total herbicide use has nearly tripled over the last three decades. Glyphosate (GLY) is the most used herbicide worldwide (825 mi kg/year). The intensive use of GLY-based herbicides (GBH) - largely driven by the adoption of glyphosate-tolerant genetically modified crops over the past two decades - has led to environmental (soil and water) and food contamination, resulting in continuous human exposure. Emerging (pre)clinical data highlights the significant implications of this herbicide on MASLD, marking a critical research area. Thus, this narrative review paper aimed at gathering and evaluating all epidemiological and (pre)clinical data on the implications of GLY or GBH on MASLD outcomes. Our work encompassed literature published between 2008-2025. Human urinary GLY levels are associated with different MASLD outcomes (steatosis risk, advanced fibrosis, increased transaminases) and comorbidities (higher risk for metabolic syndrome, diabetes, obesity and cardiovascular diseases) (6 studies). In vitro data indicate that GBH/GLY cause oxidative stress, genomic instability, apoptosis, and membrane disruption in hepatocytes, while promoting apoptosis and lipid peroxidation in (pre)adipocytes and cytokine production in monocytes (15 studies). In rodent studies (21 studies), GLY/GBH - in doses based on human exposure/toxicological limits - induces inflammatory and oxidative responses in the liver and AT, while causing dysbiosis and metabolic alterations in the gut microbiome axis. In the light of populational-, cell- and animal-based evidence, GLY/GBH disturbs key axis of MASLD pathogenesis and is hypothesized to be associated with its clinical outcomes.

Metabolic Syndrome and Liver Disease: Re-Appraisal of Screening, Diagnosis, and Treatment Through the Paradigm Shift from NAFLD to MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease (NAFLD), encompasses a spectrum of liver diseases characterized by hepatic steatosis, the presence of at least one cardiometabolic risk factor, and no other apparent cause. Metabolic syndrome (MetS) is a cluster of clinical conditions associated with increased risk of cardiovascular disease, type 2 diabetes, and overall morbidity and mortality. This narrative review summarizes the changes in the management of people with MetS and NAFLD/MASLD from screening to therapeutic strategies that have occurred in the last decades. Specifically, we underline the clinical importance of considering the different impacts of simple steatosis and advanced fibrosis and provide an up-to-date overview on non-invasive diagnostic tests (i.e., imaging and serum biomarkers), which now offer acceptable accuracy and are globally more accessible. Early detection of MetS and MASLD is a top priority as it allows for timely interventions, primarily through lifestyle modification. The liver and cardiovascular benefits of a global and multidimensional approach are not negligible. Therefore, a holistic approach to both conditions, MetS and related chronic liver disease, should be applied to improve overall health and longevity.

Understanding the Link Between Sterol Regulatory Element Binding Protein (SREBPs) and Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD)

PURPOSE OF THE REVIEW

This review aims to summarize the current scientific understanding on the complex interplay between sterol regulatory element-binding proteins (SREBPs) and metabolic dysfunction associated steatotic liver disease (MASLD) by critically examining a few significant molecular pathways. Additionally, the review explores the potential of both natural and synthetic SREBP inhibitors as promising therapeutic candidates for MASLD.

RECENT FINDINGS

SREBPs are central regulators of lipid homeostasis, with SREBP-1c primarily controlling fatty acid synthesis and SREBP-2 regulating cholesterol metabolism. Dysregulation of SREBP activity, often triggered by excessive caloric intake, insulin resistance, or endoplasmic reticulum (ER) stress, contributes to the development of metabolic syndrome and MASLD. SREBP-1c overexpression leads to increased de novo lipogenesis (DNL), hepatic lipid accumulation, and insulin resistance, while SREBP-2 modulates cholesterol metabolism via miRNA-33 and ABCA1 regulation leading to the pathogenesis of MASLD. The PI3K-Akt-mTORC1 pathway plays a critical role in SREBP activation, linking nutrient availability to lipid synthesis. Synthetic SREBP inhibitors, such as fatostatin and 25-hydroxycholesterol, and natural compounds, including kaempferol and resveratrol, show promise in modulating SREBP activity in vivo.

CONCLUSION

While targeting SREBP pathways presents a promising avenue for mitigating MASLD, further scientific investigation is imperative to identify and validate potential molecular targets. Although current studies on synthetic and natural SREBP inhibitors demonstrate encouraging results, rigorous pre-clinical and clinical research is warranted to translate these findings into effective MASLD treatments.

Association between weekend warriors and MASLD-a cross-sectional study of the NHANES database 2017-2020

Background

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise each year, posing a significant threat to people in their physical and mental health, as well as imposing a considerable economic burden on healthcare systems. Furthermore, physical activity (PA) is recognized as one of the effective strategies for the prevention of MASLD. However, the epidemiological evidence on the association between weekend warriors' (WWs) exercise modes and MASLD is inconsistent. The primary objective of this study was to further investigate the association between weekend warriors and the prevalence of MASLD using the NHANES database.

Methods

This study included a total of 4,671 participants from the National Health and Nutrition Examination Survey (NHANES) database. PA questionnaires were used to assess participants' PA patterns, while vibration-controlled transient elastography (VECT) was used to assess the degree of hepatic steatosis, and other data were used to diagnose MASLD. Three distinct models were developed to compare the associations between various exercise patterns and the prevalence of MASLD through logistic regression, and to compare the differences between RA and WWs in the prevalence of MASLD.

Results

There is a clear link between the involvement of WWs or RA participants and the lower prevalence of MASLD. In the final adjusted model, participants with a weekend warrior physical activity pattern (odds ratio [OR]: 0.511, 95% confidence interval [CI]: 0.373-0.701, p = 0.00.6) and those in the regular activity population (OR: 0.621, 95% CI: 0.512-0.754, p: 0.00.3) showed significantly lower risk ratios compared to individuals in the inactive and under-exercised populations, and this was statistically significant. Using the regular activity population as a reference, the risk of prevalence of MASLD in the weekend warrior group (OR: 0.857, 95% CI: 0.548-1.339, p: 0.516) indicates that no statistically meaningful disparity was observed between the two groups.

Conclusion

In summary, our results demonstrate a significant correlation between WWs' activity patterns and their risk of MASLD, and they indicate that these patterns can improve MASLD with benefits comparable to those of RA. This provides additional options for individuals with MASLD who are unable to meet the recommended criteria in the exercise guidelines, along with treatment options for clinicians.

Serum uric acid to high-density lipoprotein cholesterol ratio predicts all-cause mortality in adults with metabolic dysfunction associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most prevalent chronic metabolic diseases worldwide. While serum uric acid (SUA) and high-density lipoprotein cholesterol (HDL) are individually associated with the development of MASLD, the prognostic effect of the UA, HDL and SUA-to-HDL ratio (UHR) on the all-cause mortality of MASLD patients remains unexplored. This study utilized data from 4280 MASLD patients in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. UHR was calculated by dividing SUA by HDL, and its association with all-cause mortality was assessed using Cox proportional hazards models. Adjustments were made for demographic, lifestyle, and clinical factors. A one-standard-deviation increase in UA or UHR was associated with a 19% (HR 1.19, 95% CI 1.08-1.31, P < 0.001) or 18% (HR 1.18; 95% CI 1.07-1.30; P < 0.001) higher risk of all-cause mortality of MASLD participants respectively, while no association was found between HDL and mortality. SUA and UHR are promising predictors of all-cause mortality in MASLD patients, offering clinicians a valuable biomarker for related risk stratification. Its inclusion in clinical assessments could guide interventions and improve prognosis, advancing management for MASLD patients.

Association between MASLD and increased risk of serious bacterial infections requiring hospital admission: A meta-analysis

BACKGROUND

Previous studies have reported an association between metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of serious bacterial infections. However, the magnitude of the risk and whether this risk varies with the severity of MASLD remains uncertain. We performed a meta-analysis of observational studies to quantify the association between MASLD and serious bacterial infections requiring hospital admission.

METHODS

We systematically searched PubMed, Scopus, Web of Science and Embase from database inception to 1 April 2024, using predefined keywords to identify studies examining the risk of serious bacterial infections among individuals with and without MASLD. MASLD was diagnosed using liver biopsy, imaging or International Classification of Diseases codes. Meta-analysis was performed using random-effects modelling.

RESULTS

We identified six cross-sectional and two prospective cohort studies with aggregate data on ~26.6 million individuals. MASLD was significantly associated with higher odds of serious bacterial infections (pooled random-effects odds ratio 1.93, 95% confidence interval [CI] 1.44-2.58; I2 = 93%). Meta-analysis of prospective cohort studies showed that MAFLD was associated with an increased risk of developing serious bacterial infections (pooled random-effects hazard ratio 1.80, 95% CI 1.62-2.0; I2 = 89%). This risk further increased across the severity of MASLD, especially the severity of fibrosis (pooled random-effects hazard ratio 2.42, 95% CI 1.89-2.29; I2 = 92%). These results remained significant after adjusting for age, sex, obesity, diabetes and other potential confounders. Sensitivity analyses did not modify these findings. The funnel plot did not reveal any significant publication bias.

CONCLUSIONS

This meta-analysis shows a significant association between MASLD and an increased risk of serious bacterial infections requiring hospital admission.

Estimated Glucose Disposal Rate Predicts the Risk of Incident Metabolic Dysfunction-Associated Steatotic Liver Disease

OBJECTIVES

There is a relationship between insulin resistance and metabolic dysfunction-associated steatotic liver disease (MASLD) and the estimated glucose disposal rate (eGDR), which has been reported as a surrogate marker of insulin resistance. This study aimed to investigate the association between eGDR and the incident MASLD, and compare the ability to predict incident MASLD with other insulin resistance markers.

METHODS

Retrospective cohort data from a health check-up program were analyzed. Participants were categorized into 4 subgroups according to eGDR quartiles. To assess the association between eGDR quartiles and incident MASLD, logistic regression analyses were used. Additionally, to compare the predictive ability of eGDR, triglyceride/high-density lipoprotein (HDL) cholesterol (TG/HDL) ratio, and triglyceride glucose index with respect to incident MASLD, receiver operating characteristics analysis was used.

RESULTS

Of 16 689 participants were included, 3654 developed MASLD. After multivariate adjustment, compared with the lowest eGDR quartile, odds ratios (95% confidence interval [CI]) for incident MASLD in the second, third, and highest GDR quartiles, were 0.775 (0.692-0.868), 0.478 (0.408-0.560), and 0.147 (0.110-0194), respectively. The association between lower eGDR levels and MASLD risk remained consistent across stratification by sex and obesity status. Moreover, the area under the receiver operating characteristics curve (95% CI) for eGDR (0.8 [0.79-0.81]) was higher than for TG/HDL ratio 0.76 [0.79-0.81]) and triglyceride glucose index (0.75 [0.74-0.76]).

CONCLUSIONS

Lower eGDR levels were associated with an increased risk of incident MASLD. Our findings suggest that eGDR may be a more effective tool for predicting MASLD risk.

Risk of Serious Bacterial and Non-Bacterial Infections in People With MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease globally. MASLD is a multisystem disease where metabolic dysfunction plays a key role in the development of MASLD and its most relevant liver-related morbidities and extrahepatic complications, such as cardiovascular disease, chronic kidney disease and certain types of extrahepatic cancers. Among the least examined MASLD-related extrahepatic complications, an ever-increasing number of observational studies have reported a positive association between MASLD and the risk of serious bacterial infections (SBI) requiring hospital admission. This risk remained significant in those studies where statistical analysis was adjusted for age, sex, ethnicity, obesity, type 2 diabetes and other common comorbidities. Notably, the incidence rates of SBI were further increased with more advanced MASLD, especially in patients with MASLD-related cirrhosis, and were also observed for some acute viral infections, including SARS-CoV-2 infection, leading to severe COVID-19. In this narrative review article, we provide an overview of the literature on (a) the recent epidemiological data linking MASLD to the risk of serious bacterial and non-bacterial infections requiring hospital admission, (b) the putative underlying mechanisms through which MASLD may increase the susceptibility to serious infections, both directly and through the immune dysfunction associated with cirrhosis and portal hypertension, and (c) the practical and clinical implications of the increased risk of serious bacterial and non-bacterial infections in the growing global population with MASLD.

Association of dietary inflammatory index on all-cause and cardiovascular mortality in U.S. adults with metabolic dysfunction associated steatotic liver disease

Backgrounds

An inflammatory diet is pivotal in metabolic dysfunction-associated steatotic liver disease (MASLD) development. However, it remains unclear whether Dietary Inflammatory Index (DII), which serves as a reliable indicator to assess pro-inflammatory diet, have associative effects on mortality outcomes of MASLD.

Methods

Participants in the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018 years were included. Kaplan-Meier (KM) curves were used to estimate survival probabilities, while Cox regression analysis and restricted cubic splines (RCS) were employed to assess the association between DII and mortality outcomes. The concordance index (C-index) evaluated the accuracy of multivariate-adjusted DII for mortality among MASLD participants.

Results

The cohort consisted of 4,510 men and 4,323 women with a median age of 52 years. Multivariate-adjusted Cox regression analysis revealed that high levels of DII were significantly associated with the all-cause mortality of participants with MASLD (multivariable-adjusted hazard ratio (aHR) = 1.28, 95% confidence interval (CI) 1.10-1.49, p = 0.002, DII aHR for cardiovascular mortality = 1.28, 95% CI 1.07-1.53, p = 0.006). The C-index for the multivariate model, integrating DII and other clinical variables, was 0.837 for all-cause mortality and 0.860 for cardiovascular mortality. RCS analysis showed a positive linear relationship between DII and all-cause mortality rate (p for nonlinearity = 0.057), with no significant nonlinearity for cardiovascular mortality (p = 0.953). Subgroup analyses indicated stronger associations in participants <65 years, married, with a college education, non-smokers, non-drinkers, and those without hypertension.

Conclusion

Elevated DII levels are linked to higher mortality in adults with MASLD, underscoring the index's utility in predicting mortality risks. These findings shows that dietary interventions targeted inflammation may be helpful in this population.

Focused Recommendations for the Management of Metabolic Dysfunction-Associated Steatohepatitis (MASH) by Advanced Practice Providers in the United States

Metabolic dysfunction-associated steatohepatitis (MASH) has become the dominant cause of liver disease in the United States. With the growing burden of this disease in gastroenterology practices, the identification and treatment of those at risk of developing adverse outcomes (cirrhosis, hepatocellular carcinoma, or liver-related death) has become urgent. In recent years, the development of noninvasive tests (NITs) to identify "at-risk MASH" patients have provided cost-effective algorithms to identify these patients. Although treatment has historically been limited to lifestyle modification, recent FDA approval of resmetirom for noncirrhosis MASH with stages 2 and 3 fibrosis has provided a new opportunity in the United States to provide these patients with novel treatment options. Other new effective treatment regimens are on the horizon. Given that gastroenterology and hepatology practices in the United States heavily rely on advanced practice providers (APPs) to manage patients with MASLD, the APP Committee of the Global NASH/MASH Council has curated the essentials of day-to-day MASH management for our busy gastrohepatology providers and their APP colleagues. The goal of this document is to equip and mobilize more GI providers with the requisite competencies for the management of at-risk MASH, given the rapidly evolving MASH treatment landscape.

Performance of Magnetic Resonance Imaging and Ultrasound for Identifying the Different Degrees of Hepatic Steatosis: A Systematic Review and Meta-analysis

BACKGROUND

MRI proton density fat fraction (MRI-PDFF), controlled attenuation parameters (CAP), and attenuation coefficients (AC) are capable of steatosis characterization and may be useful as noninvasive alternatives for diagnosing hepatic steatosis.

PURPOSE

This meta-analysis aimed to evaluate the performance of MRI-PDFF, CAP, and AC in grading hepatic steatosis, using histology as the reference standard.

METHODS

We conducted a comprehensive search of the PubMed, Cochrane Library, Embase, and Web of Science databases until June 2024. The quality of eligible studies was assessed. Pooled sensitivity, specificity, and area under receiver operating characteristic (AUC) curves were calculated using a bivariate random-effects model. Meta-regression analysis, subgroup analysis, and Deeks' test were performed to explore heterogeneity and assess publication bias.

RESULTS

This meta-analysis included 38 studies with 5056 patients with metabolic dysfunction-associated steatotic liver disease. The AUC values for grading steatosis ≥S1, ≥S2, and ≥S3 were 0.99, 0.89, and 0.90 for MRI-PDFF, 0.95, 0.84, and 0.77 for CAP, and 0.97, 0.90, and 0.89 for AC, respectively. CAP demonstrated lower accuracy for detecting steatosis grades ≥S2 and ≥S3 compared to MRI-PDFF (0.89 vs. 0.84, p<0.001; 0.90 vs. 0.77, p<0.001) and AC (0.90 vs. 0.84, p<0.001; 0.89 vs. 0.77, p<0.001). Subgroup analyses revealed that MRI-PDFF and CAP exhibited superior diagnostic performance in diagnosing ≥S2 and ≥S3 steatosis among individuals in Asia, with a body mass index ≤30 kg/m2, and age <51 years.

CONCLUSION

A direct comparison with CAP showed greater accuracy for MRI-PDFF and AC in diagnosing moderate and severe steatosis, and similar diagnostic performance for MRI-PDFF and AC. For patients with steatosis, AC should be incorporated into routine ultrasound screening.

Body mass index and diabetes predict severity of liver fibrosis across the spectrum of steatotic liver disease

INTRODUCTION AND OBJECTIVES

Recent evidence indicates that metabolic dysfunction and alcohol-associated steatotic liver disease (MetALD), a newly defined subgroup of steatotic liver disease (SLD), may have a worse prognosis than metabolic dysfunction-associated steatotic liver disease (MASLD). This study examines the clinical factors influencing the severity of MetALD to inform and improve future management strategies.

PATIENTS AND METHODS

Data from the 2017-2020 National Health and Nutrition Examination Surveys (NHANES), involving 7745 adults with valid elastography measurements, were utilized to define and estimate the prevalence of MASLD, MetALD, and alcohol liver disease (ALD). Controlled attenuation parameter (CAP) ≥285 dB/m, liver stiffness measurement (LSM) ≥8 kPa, and ≥12 kPa indicated the presence of hepatic steatosis, clinically significant fibrosis, and advanced fibrosis, respectively.

RESULTS

The prevalence of MetALD was 4 % (N=287), compared to 24 % (N=2049) for MASLD and 7 % (N=486) for ALD. The prevalence of significant fibrosis and advanced fibrosis in MetALD was 10.8 % and 3.1 %, respectively, compared to 24.7 % and 9.8 % in MASLD, and 15 % and 8 % in ALD. Logistic regression analysis among MetALD patients showed that higher body mass index (BMI) (odds ratio [OR]: 1.15, 95 % CI: 1.08-1.23, P<0.01) and diabetes mellitus (DM) (OR: 3.0, 95 % CI: 1.06-6.2, P<0.01) were associated with an increased risk of fibrosis. These factors were also identified as independent risk factors for fibrosis in patients with MASLD and ALD.

CONCLUSIONS

MetALD had the lowest prevalence and fibrosis severity among the three groups of SLD. Elevated BMI and DM were associated with the severity of liver disease, and these findings provide a rationale for the use of obesity- and diabetes-targeted medications in these individuals.

Druggable genome-wide Mendelian randomization identifies therapeutic targets for metabolic dysfunction-associated steatotic liver disease

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects > 25% of the global population, potentially leading to severe hepatic and extrahepatic complications, including metabolic dysfunction-associated steatohepatitis. Given that the pathophysiology of MASLD is incompletely understood, identifying therapeutic targets and optimizing treatment strategies are crucial for addressing this severe condition.

METHODS

Mendelian randomization (MR) analysis was conducted using two genome-wide association study datasets: a European meta-analysis (8,434 cases; 770,180 controls) and an additional study (3,954 cases; 355,942 controls), identifying therapeutic targets for MASLD. Of 4302 drug-target genes, 2,664 genetic instrument variables were derived from cis-expression quantitative trait loci (cis-eQTLs). Colocalization analyses assessed shared causal variants between MASLD-associated single nucleotide polymorphisms and eQTLs. Using the drug target gene cis-eQTL of liver tissue from the genotype-tissue expression project, we performed MR and summary MR to validate the significance of the gene results of the blood eQTL MR. RNA-sequencing data from liver biopsies were validated using immunohistochemistry and quantitative polymerase chain reaction (qPCR) tests to confirm gene expression findings.

RESULT

MR analysis across both datasets identified significant MR associations between MASLD and two drug targets-milk fat globule-EGF factor 8 (MFGE8) (odds ratio [OR] 0.89, 95% confidence interval [CI] 0.85-0.94; P = 2.15 × 10-6) and cluster of differentiation 33 (CD33) (OR 1.17, 95% CI 1.10-1.25; P = 1.39 × 10-6). Both targets exhibited strong colocalization with MASLD. Genetic manipulation indicating MFGE8 activation and CD33 inhibition did not increase the risk for other metabolic disorders. RNA-sequencing, qPCR, and immunohistochemistry validation demonstrated consistent differential expressions of MFGE8 and CD33 in MASLD.

CONCLUSION

CD33 inhibition can reduce MASLD risk, while MFGE8 activation may offer therapeutic benefits for MASLD treatment.

Relationship between anthropometric measures and the risk of incident Metabolic dysfunction-associated steatotic liver disease: a longitudinal study

BACKGROUND

Waist circumference (WC) and body mass index (BMI) are considered useful for the diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to investigate the association between the body roundness index (BRI) and a body shape index (ABSI) with incident MASLD, in comparison to WC and BMI.

METHODS

Retrospective cohort data from a Japanese health check-up program were analyzed. Logistic regression model was used to evaluate the associations between anthropometric measure quartiles and MASLD, and receiver operating characteristic (ROC) analysis was performed to evaluate the associations between anthropometric measures and incident MASLD, stratified by sex.

RESULTS

A total of 10,561 males and 7,187 females were included, of whom 3,182 males and 914 females developed MASLD. Multivariate analysis revealed that higher WC, BMI, and BRI were associated with incident MASLD in both sexes, whereas higher ABSI was significantly associated with incident MASLD only in females. Among males, the area under the ROC curve (AUC) of BMI was higher than that of WC, BRI, and ABSI. Conversely, among females, the AUC of BMI was higher than that of ABSI, whereas it was comparable to that of WC or BRI. The AUC and the optimal cut-off values of BMI for predicting incident MASLD were 0.77 and 23.9 kg/m2 in males, and 0.86 and 22.2 kg/m2 in females. The optimal cut-off values of WC were 82.0 cm for males and 76.3 cm for females, respectively.

CONCLUSIONS

We demonstrated the strongest association between BMI and incident MASLD compared to other measures, particularly in males, while also showing a strong association in females. Additionally, specific WC criteria for Asians to improve MASLD diagnosis are needed.

Efficacy of measuring natural killer-activating receptor ligands to predict the pathogenesis of metabolic dysfunction-associated steatotic liver disease

OBJECTIVE

The proportion of non-B/non-C hepatocellular carcinoma cases is increasing, and the principal cause is metabolic dysfunction-associated steatotic liver disease (MASLD). The degree of intrahepatic natural killer (NK) cell infiltration has been reported to correlate with MASLD progression. However, reports on MASLD are limited. We aimed to investigate the involvement of NK cell-activating receptor ligands in MASLD pathogenesis.

METHODS

This study cohort comprised 69 patients with biopsy-proven MASLD treated between 2012 and 2018 at our institute. The concentrations of major histocompatibility complex class I polypeptide-related sequences A and B (MICA and MICB, respectively) and B7H6 in patient sera were measured using enzyme-linked immunosorbent assay kits. Data were statistically compared between those with metabolic-associated steatotic liver (MASL, n = 25) and those with metabolic dysfunction-associated steatohepatitis (MASH, n = 44). The clinical characteristics related to higher concentrations of each NK cell-activating receptor ligand were also investigated.

RESULTS

The MASH group had a higher level of the ligands than the MASL group. Furthermore, the MASH group had a significantly higher level of the Mac-2-binding protein glycosylation isomer (M2BPGi) than the MASL group (p < 0.001). MICA and MICB were positively correlated, and all three ligands were strongly correlated with alpha-fetoprotein and protein induced by vitamin K absence 2. Although MICB levels positively correlated with aspartate transaminase and alanine transaminase levels (p < 0.005), patients with higher MICA and B7H6 levels had higher M2BPGi levels. Interestingly, concentrations of B7H6 were significantly correlated with portal inflammation (p < 0.001), rather than lobular inflammation.

CONCLUSION

The three NK-activating receptor ligands were higher in the sera of the MASH group than those of the MASL group and strongly correlated with tumor markers, indicating the potential for hepatocarcinogenesis. Higher concentrations of serum B7H6 were correlated with advanced fibrosis and the degree of portal inflammation, which is a potential biomarker for predicting the pathogenesis of MASH.

Updated recommendations for the management of metabolic dysfunction-associated steatotic liver disease (MASLD) by the Latin American working group

Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the leading causes of chronic liver disease globally. Based on the 2023 definition, MASLD is characterized by the presence of metabolic dysfunction and limited alcohol consumption (<140 grams/week for women, <210 grams/week for men). Given the significant burden of MASLD in Latin America, this guidance was developed by the Latin American Association for the Study of the Liver (ALEH) Working Group to address key aspects of its clinical assessment and therapeutic strategies. In Latin America, ultrasonography is recommended as the initial screening tool for hepatic steatosis due to its accessibility, while Fibrosis-4 (FIB-4) is preferred for fibrosis risk stratification, with further evaluation using more specific techniques (i.e., vibration-controlled transient elastography or Enhanced Liver Fibrosis [ELF] test). A Mediterranean diet is advised for all MASLD patients, with a target of 7-10% weight loss for those with excess weight. Complete alcohol abstinence is recommended for patients with significant fibrosis, and smoking cessation is encouraged regardless of fibrosis stage. Pharmacological options should be tailored based on the presence of steatohepatitis, liver fibrosis, excess weight, and diabetes, including resmetirom, incretin-based therapies, pioglitazone, and sodium-glucose cotransporter-2 inhibitors. Bariatric surgery may be considered for MASLD patients with obesity unresponsive to lifestyle and medical interventions. Hepatocellular carcinoma screening is advised for all cirrhotic patients, with consideration given to those with advanced fibrosis based on individual risk. Finally, routine cardiovascular risk assessment and proper diabetes prevention and management remain crucial for all patients with MASLD.

Regional insights into the relationship between metabolic associated steatotic liver disease and chronic kidney disease: a socioeconomic perspective on disease correlation

BACKGROUND

Studies exploring the correlation between Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and the increased risk of chronic kidney disease (CKD) from a country-specific perspective have been limited. This study addresses regional variations and the role of the Socio-Demographic Index (SDI) in this relationship.

METHODS

This analysis integrates MASLD and country-level CKD data from the Global Burden of Disease study 2021. To evaluate the relationships between MASLD and CKD incidence, mixed-effects linear regression models that account for country-level random effects were employed. This analysis was adjusted for median age, percentage of males, SDI, and metabolic risk factors.

RESULTS

The incidence of MASLD and CKD demonstrated a similar regional distribution, with the highest of MASLD and CKD occurring in North Africa and the Middle East. After adjusting for age, gender, systolic blood pressure, fasting plasma glucose, body mass index, and SDI, a higher incidence of MASLD was associated with an increased incidence of CKD (p < 0.001), with MASLD incidence accounting for 53.0% of the explained variance in CKD incidence. Additionally, SDI, demographic variables (median age, population of male) and metabolic risks (High SBP, FPG and BMI), were responsible for 10.4%, 6.3%, and 30.3% of the explained variance in CKD incidence, respectively. Different patterns emerged in this association according to SDI status. In low SDI countries, significant associations were observed between increasing MASLD incidence rates and higher CKD incidence (p = 0.007), whereas in high SDI countries, no significant associations were found between MASLD and CKD incidence (p = 0.106).

CONCLUSIONS

Our findings reveal a geographical correlation between MASLD and CKD incidence, contingent upon socioeconomic factors. To effectively mitigate the global burden of MASLD and CKD, it is imperative to design and implement targeted public health strategies that consider the unique socioeconomic contexts of each region, thus fostering equitable health outcomes.

Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts

Introduction

The integration of artificial intelligence (AI) into ophthalmic diagnostics has the potential to significantly enhance diagnostic accuracy and interpretability, thereby supporting clinical decision-making. However, a major challenge in AI-driven medical applications is the lack of transparency, which limits clinicians' trust in automated recommendations. This study investigates the application of machine learning techniques by integrating knowledge graphs with contrastive learning and utilizing "clinical profile" prompts to refine the performance of the ophthalmology-specific large language model, MeEYE, which is built on the CHATGLM3-6B architecture. This approach aims to improve the model's ability to capture clinically relevant features while enhancing both the accuracy and explainability of diagnostic predictions.

Methods

This study employs a novel methodological framework that incorporates domain-specific knowledge through knowledge graphs and enhances feature representation using contrastive learning. The MeEYE model is fine-tuned with structured clinical knowledge, enabling it to better distinguish subtle yet significant ophthalmic features. Additionally, "clinical profile" prompts are incorporated to further improve contextual understanding and diagnostic precision. The proposed method is evaluated through comprehensive performance benchmarking, including quantitative assessments and clinical case studies, to ensure its efficacy in real-world ophthalmic diagnosis.

Results

The experimental findings demonstrate that integrating knowledge graphs and contrastive learning into the MeEYE model significantly improves both diagnostic accuracy and model interpretability. Comparative analyses against baseline models reveal that the proposed approach enhances the identification of ophthalmic conditions with higher precision and clarity. Furthermore, the model's ability to generate transparent and clinically relevant AI recommendations is substantiated through rigorous evaluation, highlighting its potential for real-world clinical implementation.

Discussion

The results underscore the importance of explainable AI in medical diagnostics, particularly in ophthalmology, where model transparency is critical for clinical acceptance and utility. By incorporating domain-specific knowledge with advanced machine learning techniques, the proposed approach not only enhances model performance but also ensures that AI-generated insights are interpretable and reliable for clinical decision-making. These findings suggest that integrating structured medical knowledge with machine learning frameworks can address key challenges in AI-driven diagnostics, ultimately contributing to improved patient outcomes. Future research should explore the adaptability of this approach across various medical domains to further advance AI-assisted diagnostic systems.

The liver-brain axis in metabolic dysfunction-associated steatotic liver disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) affects around 30% of the global population. Studies suggest that MASLD is associated with compromised brain health and cognitive dysfunction, initiating a growing interest in exploring the liver-brain axis mechanistically within MASLD pathophysiology. With the prevalence of MASLD increasing at an alarming rate, leaving a large proportion of people potentially at risk, cognitive dysfunction in MASLD is a health challenge that requires careful consideration and awareness. This Review summarises the current literature on cognitive function in people with MASLD and discusses plausible causes for its impairment. It is likely that a multifaceted spectrum of factors works collectively to affect cognition in patients with MASLD. We describe the role of inflammation, vascular disease, and brain ageing and neurodegeneration as possible key players. This Review also highlights the need for future studies to identify the optimal test for diagnosing cognitive dysfunction in patients with MASLD, to examine the correlation between MASLD progression and the severity of cognitive dysfunction, and to evaluate whether new MASLD-targeted therapies also improve brain dysfunction.

Oxidative gaseous air pollutant exposure interacts with PNPLA3-I148M genotype to influence liver fat fraction and multi-omics profiles in young adults

PNPLA3-I148M genotype is the strongest predictive single-nucleotide polymorphism for liver fat. We examine whether PNPLA3-I148M modifies associations between oxidative gaseous air pollutant exposure (Oxwt) with i) liver fat and ii) multi-omics profiles of miRNAs and metabolites linked to liver fat. Participants were 69 young adults (17-22 years) from the Meta-AIR cohort. Prior-month residential Oxwt exposure (redox-weighted oxidative capacity of nitrogen dioxide and ozone) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Liver fat fraction was assessed by MRI. Serum miRNAs and metabolites were assayed via NanoString nCounter and LC-HRMS, respectively. Multi-omics factor analysis (MOFA) was used to identify latent factors with shared variance across omics layers. Multivariable linear regression models adjusted for age, sex, body mass index, and genotype with liver fat or MOFA factors as an outcome and examined PNPLA3 (rs738409; CC/CG vs. GG) as a multiplicative interaction term. Overall, a standard deviation difference in Oxwt exposure was associated with 8.9% relative increase in liver fat (p = 0.04) and this relationship differed by PNPLA3 genotype (p-value for interaction term: pintx<0.001), whereby relative increases in liver fat for GG and CC/CG participants were 71.8% and 2.4%, respectively. There was no main effect of Oxwt on MOFA Factor 1 expression (p = 0.85), but there was an interaction with PNPLA3 genotype (pintx = 0.01), whereby marginal slopes were 0.211 and -0.017 for GG and CC/CG participants, respectively. MOFA Factor 1 in turn was associated with liver fat (p = 0.006). MOFA Factor 1 miRNAs targeted genes in Fatty Acid Biosynthesis and Metabolism and Lysine Degradation pathways. MOFA Factor 9 was also associated with liver fat and was comprised of branched-chain keto acid and amino acid metabolites. The effects of Oxwt exposure on liver fat is exacerbated in young adults with two PNPLA3 risk alleles, potentially through differential effects on miRNA and/or metabolite profiles.

Validation of the Chronic Liver Disease Questionnaire for MASH (CLDQ-MASH)

Background & Aims

The new nomenclature for metabolic dysfunction-associated steatohepatitis (MASH) requires presence of steatohepatitis in the context of at least one cardiometabolic risk. Having a health-related quality of life (HRQL) instrument validated specifically in patients with MASH is important for clinical research and clinical trials.

Methods

From our non-alcoholic fatty liver disease/non-alcoholic steatohepatitis (NAFLD/NASH) database, patients who met the definition of MASH according to the new criteria were selected. Subjects had completed the Chronic Liver Disease Questionnaire for NAFLD/NASH (CLDQ-NAFLD/NASH) and other HRQL instruments (Functional Assessment of Chronic Illness Therapy - Fatigue [FACIT-F], Short-Form 36 [SF-36]), and had available clinico-laboratory data including fibrosis non-invasive tests (NITs). The CLDQ-MASH was developed following a standard pipeline and subsequently validated in a non-overlapping sample.

Results

There were 4,213 MASH patients included: age 56 ± 11 years, 44% male, 65% type 2 diabetes, 69% advanced fibrosis (F3-F4). The patients with MASH were split 1:2 into a training set used for development of CLDQ-MASH and a testing set used for validation using standard pipeline. After item reduction and exploratory factor analysis with the training set (>90% variance), the CLDQ-MASH contained 35 items and seven domains. With the non-overlapping testing set, CLDQ-MASH demonstrated excellent face validity, internal consistency (all Cronbach's alpha >0.78), and high correlations with relevant domains of SF-36, FACIT-F (p <0.01). Known-groups validity assessment confirmed that CLDQ-MASH can discriminate patients based on liver disease severity (histology- and NIT-based) and the presence of non-hepatic comorbidities (obesity, type 2 diabetes, depression, clinically overt fatigue, insomnia). In a subsample of subjects with 1-year follow-up, the instrument was responsive to changes in Enhanced Liver Fibrosis® scores and liver stiffness measurements (p <0.05 for four to six domains).

Conclusions

The CLDQ-MASH can be used as a valid disease-specific HRQL instrument for patients with MASH.

Impact and implications

The new criteria for metabolic dysfunction-associated steatohepatitis (MASH) are different from those previously used for non-alcoholic steatohepatitis so the evidence collected for the previous criteria need to be revisited, including disease-specific instruments for assessment of health-related quality of life. In patients with MASH, Chronic Liver Disease Questionnaire-MASH (CLDQ-MASH; 35 items, seven domains) has excellent psychometric properties including its internal consistency and various aspects of validity, and is responsive to changes in liver disease severity indicators. The CLDQ-MASH can be used as a valid disease-specific health-related quality of life instrument for MASH in clinical research and clinical trials.

Risk-stratified hepatocellular carcinoma surveillance in non-cirrhotic patients with MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) is rapidly emerging as the leading global liver disorder and is poised to become the primary cause of hepatocellular carcinoma (HCC). Research indicates that nearly 50% of HCC cases in MASLD patients occur without cirrhosis, often presenting with more advanced and larger tumors. Despite this, current guidelines primarily focus on HCC screening in cirrhotic patients, with limited guidance for non-cirrhotic MASLD individuals. This narrative review seeks to identify key risk factors for HCC development, consolidate available screening methods, and propose a practical, risk-stratified algorithm for HCC surveillance in non-cirrhotic MASLD patients. We conducted a comprehensive review of studies published between 2017 and 2023 using PubMed, Embase, and CNKI, focusing on HCC risk factors and emerging screening strategies for non-cirrhotic MASLD cohorts. Key risk factors for HCC development in these patients include male sex, age over 65, hypertension, diabetes, mild alcohol consumption, smoking, dyslipidemia, elevated alanine aminotransferase levels, and a platelet count ≤ 150 × 109/L. Among the screening methods evaluated, circulating free DNA, alpha-fetoprotein (AFP) combined with protein induced by vitamin K absence or antagonist-II (PIVKA-II), and the GALAD score (incorporating Glypican-3, AFP, alpha-1-Antitrypsin, and des-gamma-carboxy prothrombin) demonstrated the highest performance. Based on these findings, we proposed a risk-stratified HCC surveillance algorithm that integrates GALAD and PIVKA-II into the existing sonography and AFP screening protocols. This review aims to provide clinicians with actionable recommendations for HCC screening in non-cirrhotic MASLD patients.

Unraveling Metabolic Dysfunction-Associated Steatotic Liver Disease Through the Use of Omics Technologies

Non-alcoholic fatty liver disease (NAFLD), now referred to as metabolic dysfunction-associated steatotic liver disease (MASLD), is the most prevalent liver disorder globally, linked to obesity, type 2 diabetes, and cardiovascular risk. Understanding its potential progression from simple steatosis to cirrhosis and hepatocellular carcinoma (HCC) is crucial for patient management and treatment strategies. The disease's complexity requires innovative approaches for early detection and personalized care. Omics technologies-such as genomics, transcriptomics, proteomics, metabolomics, and exposomics-are revolutionizing the study of MASLD. These high-throughput techniques allow for a deeper exploration of the molecular mechanisms driving disease progression. Genomics can identify genetic predispositions, whilst transcriptomics and proteomics reveal changes in gene expression and protein profiles during disease evolution. Metabolomics offers insights into the metabolic alterations associated with MASLD, while exposomics links environmental exposures to MASLD progression and pathology. By integrating data from various omics platforms, researchers can map out the intricate biochemical pathways involved in liver disease progression. This review discusses the roles of omics technologies in enhancing the understanding of disease progression and highlights potential diagnostic and therapeutic targets within the MASLD spectrum, emphasizing the need for non-invasive tools in disease staging and treatment development.

Lean MASLD and IBD: Exploring the Intersection of Metabolic Dysfunction and the Gut-Liver Axis

Metabolic dysfunction-associated steatotic liver disease (MASLD) challenges traditional paradigms by manifesting in lean individuals. The link between MASLD and inflammatory bowel disease (IBD) underscores the importance of the gut-liver axis in disease progression and chronic inflammation. This study evaluates MASLD prevalence, clinical characteristics, and diagnostic predictors in lean individuals with and without IBD. This prospective study included 387 lean patients. Hepatic steatosis and fibrosis were assessed using vibration-controlled transient elastography (VCTE). Anthropometric, clinical and biological data were compared. The subgroup analyses focused on MASLD patients with and without IBD. MASLD was present in 34.1% of lean individuals and 46.3% of those who were lean with IBD. MASLD patients had increased visceral adiposity (CUN-BAE: 31.21 ± 5.42 vs. 24.57 ± 6.49, p < 0.001) and metabolic dysfunction, including dyslipidemia and elevated fasting glucose. IBD-MASLD patients exhibited greater hepatic steatosis and systemic inflammation. CUN-BAE outperformed FLI and HSI in predicting liver steatosis, especially in IBD patients (AUC = 0.806). Lean MASLD, particularly in IBD patients, highlights the need for tailored diagnostic and management strategies. The gut-liver axis plays a key role in disease progression, and the CUN-BAE index demonstrates superior accuracy for identifying liver steatosis.

Impact of steatotic liver disease subtypes, sarcopenia, and fibrosis on all-cause and cause-specific mortality: a 15.7-year cohort study

BACKGROUND

Steatotic liver disease (SLD) was a newly proposed disease category derived from metabolic dysfunction-associated fatty liver disease (MAFLD). MAFLD and sarcopenia were independent risk factors for mortality. We aimed to evaluate the impacts of SLD subtypes, MAFLD, and sarcopenia on mortality.

METHODS

A total of 6543 subjects were identified from the National Health and Nutrition Examination Survey 1999-2006 with the latest Linked Mortality file. Hepatic steatosis, advanced fibrosis, and sarcopenia were determined by the laboratory- and anthropometry- based fatty liver index and fibrosis-4 index, and dual-energy X-ray absorptiometry-based appendicular skeletal muscle mass index, respectively. Associations of SLD subtypes, MAFLD, and sarcopenia with mortality were estimated using the weighted Cox proportional hazards model.

RESULTS

During a mean follow-up time of 15.7 years, 1567 (16.7%) deaths occurred including 494 (4.9%) deaths from cardiovascular diseases and 372 (4.1%) from cancer. The all-cause mortality rates of MAFLD, metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), other aetiology SLD, MASLD without sarcopenia, and MASLD with sarcopenia were 21.0%, 19.8%, 30.2%, 30.9%, 19.2%, and 75.5%, respectively. MAFLD increased the risk of all-cause mortality (hazard ratio [HR] 1.26, 95% confidence interval [CI] 1.00-1.59). MASLD predicted all-cause mortality (HR 1.17, 95% CI 1.03-1.33) but this prediction became insignificant after adjustment for metabolic risks. In contrast, MetALD and other aetiology SLD were significantly associated with all-cause mortality (HR 1.83, 95% CI 1.21-2.76; HR 2.50, 95% CI 1.82-3.44, respectively), predominantly associated with cancer-specific mortality (HR 2.42, 95% CI 1.23-4.74; HR 2.49, 95% CI 1.05-5.90, respectively). MASLD with sarcopenia increased the risk of all-cause mortality by almost twice (HR 2.19, 95% CI 1.37-3.49) and further coexisting advanced fibrosis additively increased mortality (HR 3.41, 95% CI 1.92-6.05).

CONCLUSION

SLD definition identified a more homogeneous group with metabolically hepatic steatosis at higher risks of mortality. MASLD or MASLD-related advanced fibrosis and sarcopenia additively increased mortality.

Molecular pathological characteristics and mechanisms of the liver in metabolic disease-susceptible transgenic pigs

AIMS

This study aimed to explore the molecular pathological mechanisms of the liver in metabolic disease-susceptible transgenic pigs via multiomics analysis.

MATERIALS AND METHODS

The triple-transgenic (PNPLA3I148M-GIPRdn-hIAPP) pig model (TG pig) was successfully constructed in our laboratory via the CRISPR/Cas9 technique previously described. Wild-type (WT) pigs and TG pigs after 2 or 12 months of high-fat and high-sucrose diet (HFHSD) induction (WT2, TG2, WT12, and TG12 groups, respectively) were used as materials. The transcriptome, metabolome, and lipidome were used to investigate the molecular mechanisms of the liver in pigs.

KEY FINDINGS

The TG2 pigs presented mild metaflammation and insulin resistance (IR) which was similar to WT12 pigs. Compared with the other three groups, the TG12 pigs presented severe hepatocyte ballooning, fat deposition, and portal area fibrosis. The transcriptome data suggested that the TG2 pigs presented upregulated gene expression in the extracellular matrix (ECM). The TG12 pigs presented more severe metaflammation and exhibited imbalanced glycolipid metabolism. Interestingly, genes such as ETNPPL, GABBR2, and BMP8B might be key regulatory targets for liver injury. The metabolome and lipidome suggested that long-chain polyunsaturated fatty acids (LCPUFAs) and phospholipids with corresponding LCPUFAs were remodelled. Importantly, bis(monoacylglycerol) phosphates (BMPs) and sulfatides (SLs) could be the key regulatory metabolites in liver injury.

SIGNIFICANCE

ETNPPL, GABBR2, and BMP8B might be potential therapeutic targets for liver injury. BMPs and SLs might be biomarkers for the diagnosis and treatment of liver diseases.

Association of food insecurity with MASLD prevalence and liver-related mortality

BACKGROUND & AIMS

The global burden of metabolic dysfunction-associated steatotic liver disease (MASLD) is growing. This study explores the association of food insecurity with MASLD prevalence and liver-related mortality (LRM) across the globe.

METHODS

The study combines United Nations' country-level food security data with the MASLD data from the Global Burden of Disease study 2021. Mixed-effects linear regression models, accounting for country-level random effects, were used to assess associations of food security indicators with MASLD prevalence and LRM. The analyses were performed according to each country's socio-demographic index (SDI) status.

RESULTS

In 2021, the median MASLD prevalence and liver-related mortality (MASLD-LRM) across 204 countries was 21.77% (14.14%-48.18%) and 2.92 per 100,000 (0.42-10.79) with the highest MASLD prevalence located in North Africa & Middle East (41.70%) and the lowest prevalence in high-income countries (17.31%). After adjustments for age, gender and SDI, higher MASLD prevalence was associated with increasing rates of obesity, type 2 diabetes and low physical activity (p <0.001). When analyses were performed based on SDI status, divergent patterns of MASLD prevalence were observed. In high SDI countries (socioeconomically more developed), MASLD prevalence was significantly higher in those in the top tertile of food insecurity compared to the bottom tertile (mean, 26.73% vs. 18.87%, p = 0.0001). In contrast, in low SDI countries (socioeconomically less developed), the opposite was true (19.45% vs. 24.96%, p = 0.0008). MASLD-LRM was associated with older age, obesity, and metabolic risks (p <0.001).

CONCLUSIONS

MASLD prevalence and MASLD-LRM exhibit significant geographical variability, which is influenced by clinicodemographic factors, and food insecurity. Targeted public health strategies which consider the socio-economic realities of each region are essential for mitigating the global burden of MASLD.

IMPACT AND IMPLICATIONS

Metabolic dysfunction-associated steatotic liver disease (MASLD) burden varies by region, influenced by food insecurity and healthcare access. In high socio-demographic index (SDI) countries, higher MASLD prevalence is linked to the consumption of low-quality, ultra-processed foods. Public health policies should focus on improving food quality, reducing unhealthy food consumption, and enhancing healthcare access. Conversely, in low SDI countries, while food insecurity can lead to outright deficiencies, the observed lower MASLD prevalence may also be partly attributable to underdiagnosis. In this context, limited healthcare access may have contributed to underestimation of the prevalence of MASLD. Therefore, country-specific policies should address both the issues related to poverty, as well as improving access to diagnostic modalities and healthcare infrastructure to ensure more accurate estimates of cases of MASLD in the specific country. Promoting physical activity is crucial in both high and low SDI countries to manage metabolic conditions associated with MASLD.

Applying 1-hour postload plasma glucose diagnostic criteria reveals high Progressive Risks of potential MASLD

BACKGROUND

Recently, a 1-h PG value of ≥ 8.6 mmol/L, a more sensitive predictor of diabetes mellitus-related long-term cardiovascular complications than routine glucose markers, has been recommended as an additional diagnostic criterion for diabetes in the International Diabetes Federation Position Statement. However, its value in MASLD remains uncertain.

METHODS

Consecutive participants with imaging assessments of fatty liver and a 75-g oral glucose tolerance test, including 1154 participants with MASLD, 161 fulfilling the nonalcoholic fatty liver disease but not the MASLD diagnostic criteria (NAFLD-non-MASLD) and 1026 subjects with non-fatty liver, were retrospectively enrolled from June 2009 to May 2024.

RESULTS

Patients with MASLD or NAFLD-non-MASLD had higher 1-h PG levels than those with non-fatty liver (p < 0.001). In patients with MASLD or NAFLD-non-MASLD, 1-h PG ≥ 8.6 mmol/L was associated with the risk of moderate-to-severe steatosis (p < 0.001), ALT elevation (p < 0.001), advanced fibrosis (p = 0.03), and cardiovascular diseases (p < 0.001). Furthermore, NAFLD-non-MASLD patients with 1-h PG ≥ 8.6 mmol/L showed a higher prevalence of advanced fibrosis than MASLD patients with or without 1-h PG ≥ 8.6 mmol/L (p < 0.05).

CONCLUSIONS

NAFLD-non-MASLD patients with 1-h PG ≥ 8.6 mmol/L are still at high risk of poor clinical outcomes. These findings support including 1-h PG ≥ 8.6 mmol/L as a component of the metabolic dysfunction definition.

Epidemiology of metabolic dysfunction-associated steatotic liver disease

As the rates of obesity and type 2 diabetes (T2D) continue to increase globally, so does the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD). Currently, 38% of all adults and 7-14% of children and adolescents have MASLD. By 2040, the MASLD prevalence rate for adults is projected to increase to more than 55%. Although MASLD does not always develop into progressive liver disease, it has become the top indication for liver transplant in the United States for women and those with hepatocellular carcinoma (HCC). Nonetheless, the most common cause of mortality among patients with MASLD remains cardiovascular disease. In addition to liver outcomes (cirrhosis and HCC), MASLD is associated with an increased risk of developing de novo T2D, chronic kidney disease, sarcopenia, and extrahepatic cancers. Furthermore, MASLD is associated with decreased health-related quality of life, decreased work productivity, fatigue, increased healthcare resource utilization, and a substantial economic burden. Similar to other metabolic diseases, lifestyle interventions such as a heathy diet and increased physical activity remain the cornerstone of managing these patients. Although several obesity and T2D drugs are available to treat co-morbid disease, resmetirom is the only MASH-targeted medication for patients with stage 2-3 fibrosis that has approved by the Food and Drug Administration for use in the United States. This review discusses MASLD epidemiology and its related risk factors and outcomes and demonstrates that without further global initiatives, MASLD incidence could continue to increase.

Siaw AD, Armasu SM, Frank JA, Yan IK, Ahmed FY, Izquierdo-Sanchez L, Boix L, Rojas A, Banales JM, Reig M, Stål P, Gómez MR, Wangensteen KJ, Singal AG, Roberts LR, Patel T. Genome-Wide DNA Methylation Markers Associated With Metabolic Liver Cancer

Background and Aims

Metabolic liver disease is the fastest-rising cause of hepatocellular carcinoma (HCC), but the underlying molecular processes that drive HCC development in the setting of metabolic perturbations are unclear. We investigated the role of aberrant DNA methylation in metabolic HCC development in a multicenter international study.

Methods

We used a case-control design, frequency-matched on age, sex, and study site. Genome-wide profiling of peripheral blood leukocyte DNA was performed using the 850k EPIC array. The study sample was split 80% and 20% for training and validation. Cell type proportions were estimated from the methylation data. Differential methylation analysis was performed adjusting for cell type, generating area under the receiver-operating characteristic curves (AUC-ROC).

Results

We enrolled 272 metabolic HCC patients and 316 control patients with metabolic liver disease from 6 sites. Fifty-five differentially methylated CpGs were identified; 33 hypermethylated and 22 hypomethylated in cases vs controls. The panel of 55 CpGs discriminated between the cases and controls with AUC = 0.79 (95% confidence interval [CI] = 0.71-0.87), sensitivity = 0.77 (95% CI = 0.66-0.89), and specificity = 0.74 (95% CI = 0.64-0.85). The 55-CpG classifier panel performed better than a base model that comprised age, sex, race, and diabetes mellitus (AUC = 0.65, 95% CI = 0.55-0.75; sensitivity = 0.62, 95% CI = 0.49-0.75; and specificity = 0.64, 95% CI = 0.52-0.75). A multifactorial model that combined the 55 CpGs with age, sex, race, and diabetes yielded AUC = 0.78 (95% CI = 0.70-0.86), sensitivity = 0.81 (95% CI = 0.71-0.92), and specificity = 0.67 (95% CI = 0.55-0.78).

Conclusion

A panel of 55 blood leukocyte DNA methylation markers differentiates patients with metabolic HCC from control patients with benign metabolic liver disease, with a slightly higher sensitivity when combined with demographic and clinical information.

Mitigating Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD): The Role of Bioactive Phytoconstituents in Indian Culinary Spices

PURPOSE OF REVIEW

The term metabolic dysfunction-associated steatotic liver disease (MASLD) refers to a group of progressive steatotic liver conditions that include metabolic dysfunction-associated steatohepatitis (MASH), which has varying degrees of liver fibrosis and may advance to cirrhosis, and independent hepatic steatosis. MASLD has a complex underlying mechanism, with patients exhibiting diverse causes and phases of the disease. India has a pool prevalence of MASLD of 38.6% in adults. In 2023, the term NAFLD has been redefined and changed to MASLD. Currently, there are no drugs approved by the FDA for the treatment of MASLD. This study investigates the potential of bioactive phytoconstituents present in spices as a therapeutic approach for MASLD. Moreover, it offers comprehensive data on several pre-clinical studies of bioactive phytoconstituents derived from spices that primarily focus on treating obesity-associated MASLD.

RECENT FINDINGS

Spices include a high amount of bioactive chemicals and several research have indicated their diverse pharmacological activities. Bioactive phytoconstituents from common Indian spices like cinnamic acid, eugenol, curcumin, allicin, 6-gingerols, capsaicin, piperine, eucalyptol, trigonelline, and linalool have been reported to exhibit anti-MASLD effects both in-vivo and in-vitro. Bioactive phytoconstituents from different culinary species of India have shown promising potential against MASLD in pre-clinical status. Further clinical studies on a large scale would be beneficial for paving the path to the development of a new drug which is the need of time.

BMI gain and dietary characteristics are risk factors of MASLD in non-obese individuals

This longitudinal observational study aimed to evaluate whether cardiometabolic factors and dietary characteristics are determinants of metabolic dysfunction-associated steatotic liver disease (MASLD) in non-obese individuals (body mass index [BMI] < 25 kg/m²). The study was conducted at the Japanese Red Cross Society Kyoto Daiichi Hospital. Clinical data were longitudinally recorded at annual health checks. The diagnosis of MASLD was based on the results of abdominal ultrasonography and cardiometabolic criteria. Lifestyle behaviors and dietary characteristics were assessed using a self-administered questionnaire. A total of 4,100 non-obese middle-aged and older participants (1,636 men and 2,464 women) were followed up for an average of 6.44 ± 4.16 years. During the follow-up period, there were 410 new cases of MASLD in men (25.1%) and 484 in women (19.6%). The incidence rate was higher for men (39.7 per 1,000 person-years) than for women (30.1 per 1,000 person-years). Multivariable-adjusted logistic regression analyses using the rate of change per year with standardized values found that BMI gain was strongly associated with the onset of MASLD for both men (OR: 1.90, 95% CI: 1.64-2.19) and women (OR: 1.95, 95% CI: 1.72-2.21). Increased waist circumference and triglycerides were also associated with MASLD onset for both men and women. Lowering of high-density lipoprotein cholesterol was identified as a risk factor for MASLD in both men and women. Regarding dietary characteristics, the onset of MASLD was significantly and negatively associated with "often eating vegetables" for men (OR: 0.73, 95% CI: 0.57-0.93) and "often eating soy products" for women (OR: 0.71, 95% CI: 0.58-0.88), even after adjusting for BMI change and other covariates. These findings suggest that maintaining body weight and favorable dietary characteristics are key factors in the prevention of MASLD in non-obese individuals.

Estimated Burden of Metabolic Dysfunction-Associated Steatotic Liver Disease in US Adults, 2020 to 2050

Importance

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease and is projected to become the leading indication for liver transplant (LT) in the US. Understanding its clinical burden can help to identify opportunities for prevention and treatment.

Objective

To project the burden of MASLD in US adults from 2020 to 2050.

Design, Setting, and Participants

This decision analytical modeling study used an agent-based state transition model that simulates the natural history of MASLD progression among adults 18 years of age or older. Primary data sources for model inputs were the published literature.

Exposure

Natural history of MASLD.

Main Outcomes and Measures

Cases of MASLD, metabolic dysfunction-associated steatohepatitis (MASH), fibrosis, hepatocellular carcinoma (HCC), LT, and liver-related death.

Results

The model simulated 2 821 624 individuals (mean age. 35.8 years; 50.9% female). The model predicted a steady increase in the prevalence of MASLD from 33.7% (86.3 million people) in 2020 to 41.4% (121.9 million people) by 2050. Cases of MASH would increase from 14.9 million (5.8% of US adults) in 2020 to 23.2 million (7.9% of US adults) by 2050. The number of cases of MASH and clinically significant fibrosis (ie, F≥F2, centrilobular and periportal fibrosis or more severe disease) were estimated to increase from 6.7 million to 11.7 million. By 2046 to 2050, MASLD would cause 22 440 new cases of HCC and 6720 new cases of LT per year compared with 11 483 new cases of HCC and 1717 new cases of LT in 2020 to 2025. Liver-related mortality was estimated to increase from 30 500 deaths (1.0% of all-cause deaths in adults) in 2020 to 95 300 deaths (2.4%) in 2050.

Conclusions and Relevance

In this decision analytical modeling study, the model forecast a substantial increase in clinical burden of MASLD over the next 3 decades in the absence of effective treatments. These results suggest that health systems should plan for large increases in the number of HCC cases and in the need for LT.

Utility of Mac-2 binding protein glycosylation isomer as an excellent biomarker for the prediction of liver fibrosis, activity, and hepatocellular carcinoma onset: an expert review

Mac-2 binding protein glycosylation isomer (M2BPGi) is a liver fibrosis biomarker that originated in Japan and has been covered by health insurance for 10 years. M2BPGi is useful not only for liver fibrosis stage prediction but also for assessment of the degree of liver inflammation and prediction of hepatocellular carcinoma development. The usefulness of M2BPGi for assessing disease progression in patients with various chronic liver diseases has been demonstrated over the past decade in a large number of patients. Recently, there have been many reports from outside Japan, including reports from South Korea, Taiwan, Hong Kong, and China. These studies demonstrated that M2BPGi is an excellent biomarker that can evaluate the progression of liver fibrosis in chronic liver disease. It is also an excellent indicator of liver activity. Recently, a quantitative M2BPGi (M2BPGi-Qt) assay was developed, and future validation in real-world settings is expected. This will enable diagnosis of the progression of liver fibrosis based on more precise test results and is expected to contribute to the early detection and follow-up of diseases caused by chronic hepatitis, as well as post-treatment monitoring. The significance of the M2BPGi-Qt assay will likely become clearer as real-world data accumulate. If new cutoff values for each chronic liver disease stage and activity level using the M2BPGi-Qt assay are set based on real-world data, it is expected that this will become a useful tool to identify cases of liver fibrosis and monitor the progression of chronic liver disease.

Increased MASH-associated liver cancer in younger demographics

BACKGROUND

The incidence of cancer and the prevalence of metabolic disease and metabolic dysfunction-associated steatotic liver disease is increasing in young adults. However, updated global data on metabolic dysfunction-associated steatohepatitis (MASH)-associated primary liver cancer (PLC) in young adults remains scarce.

METHODS

This study analyzed data from the Global Burden of Disease study between 2000 and 2021 to assess the age-standardized incidence, mortality, and disability-adjusted life years rates from MASH-associated PLC in young adults (15-49 y).

RESULTS

In 2021, there were 4300 incidence cases, 3550 deaths, and 179,340 disability-adjusted life years from MASH-associated PLC in young adults. Among various etiologies of PLC in young adults, only MASH-associated PLC had increased incidence rates (annual percent change: +0.26, 95% CI: 0.16%-0.35%), with the Eastern Mediterranean region having the largest observed increase (annual percent change: 1.46%, 95% CI: 1.40%-1.51%). In 2021, MASH-associated PLC in young adults made up 6% (+1% from 2000) incident cases, 6% (+2% from 2000) deaths, and 6% (+2% from 2000) disability-adjusted life years of all PLC in this age group. Over half of the countries exhibited an increase in age-standardized incidence rate from MASH-associated PLC in young adults from 2000 to 2021.

CONCLUSIONS

The incidence of MASH-associated PLC in young adults is significantly increasing, signaling likely future increases in PLC incidence among older adults as this cohort ages. This trend necessitates urgent strategies worldwide to mitigate the epidemics of MASH-associated PLC in young adults.