Association of metabolic health phenotypes, obesity, and hepatocellular carcinoma risk

Integrating transcriptome and metabolomics analyses of hepatocellular carcinoma to discover novel biomarkers and drug targets

BACKGROUND

Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality among all cancers. Chronic infection by hepatitis B and C viruses are the predominant risk factors for HCC, but other factors related to metabolic disorders including diabetes and obesity are also involved.

METHODS

Ten male HCC patients with chronic HBV infection were included in this study. Primary HCC tissues were obtained from all study participants following liver resection. Normal tissues that were simultaneously collected served as the controls and were defined as tissue at least 5 cm from the tumor edge. Tissues were subjected to untargeted metabolomics and transcriptome analyses.

RESULTS

We identified 31 and 41 differentially expressed metabolites (DEMs) in positive and negative ion modes, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that 15 DEMs were enriched in ABC transporters, nine in purine metabolism, eight in central carbon metabolism in cancer, and seven in biosynthesis of amino acids. Regarding the transcriptome analysis, 1,224 significantly up-regulated and 887 down-regulated RNAs were found. KEGG pathway analysis revealed that the most significantly enriched pathways were metabolic pathways. Integrated analysis showed seven pathways that were highly activated in HCC tissues including PI3K/Akt, ABC transporters, caffeine metabolism, carbon metabolism, biosynthesis of amino acids, arginine biosynthesis, alanine, aspartate, and glutamate metabolism.

CONCLUSION

Some DEMs could be biomarkers or therapeutic targets for HCC. Moreover, we found that MAGEB2 was significantly elevated in HCC tissues for the first time, and its association with HCC needs to be explored by functional studies.

Liver diseases: epidemiology, causes, trends and predictions

As a highly complex organ with digestive, endocrine, and immune-regulatory functions, the liver is pivotal in maintaining physiological homeostasis through its roles in metabolism, detoxification, and immune response. Various factors including viruses, alcohol, metabolites, toxins, and other pathogenic agents can compromise liver function, leading to acute or chronic injury that may progress to end-stage liver diseases. While sharing common features, liver diseases exhibit distinct pathophysiological, clinical, and therapeutic profiles. Currently, liver diseases contribute to approximately 2 million deaths globally each year, imposing significant economic and social burdens worldwide. However, there is no cure for many kinds of liver diseases, partly due to a lack of thorough understanding of the development of these liver diseases. Therefore, this review provides a comprehensive examination of the epidemiology and characteristics of liver diseases, covering a spectrum from acute and chronic conditions to end-stage manifestations. We also highlight the multifaceted mechanisms underlying the initiation and progression of liver diseases, spanning molecular and cellular levels to organ networks. Additionally, this review offers updates on innovative diagnostic techniques, current treatments, and potential therapeutic targets presently under clinical evaluation. Recent advances in understanding the pathogenesis of liver diseases hold critical implications and translational value for the development of novel therapeutic strategies.

Management of Chronic Liver Disease in Patients with Hepatocellular Carcinoma

Management of cirrhosis sequelae is critical in providing the most options for patients with hepatocellular carcinoma (HCC). Compensated liver disease is the ideal state for HCC patients who may require resection, locoregional therapies, or liver transplantation. Portal hypertension complications, suboptimal nutrition, and frailty are common barriers to various HCC treatments. For patients with advanced HCC, systemic therapies are altering the approach to multifocal, unresectable HCC, but similar barriers exist related to managing cirrhosis complications. Frequently, managing the underlying liver disease etiology is a key component to enabling HCC treatment.

Metabolomic Hallmarks of Obesity and Metabolic Dysfunction-Associated Steatotic Liver Disease

From a detailed review of 90 experimental and clinical metabolomic investigations of obesity and metabolic dysfunction-associated steatotic liver disease (MASLD), we have developed metabolomic hallmarks for both obesity and MASLD. Obesity studies were conducted in mice, rats, and humans, with consensus biomarker groups in plasma/serum being essential and nonessential amino acids, energy metabolites, gut microbiota metabolites, acylcarnitines and lysophosphatidylcholines (LPC), which formed the basis of the six metabolomic hallmarks of obesity. Additionally, mice and rats shared elevated cholesterol, humans and rats shared elevated fatty acids, and humans and mice shared elevated VLDL/LDL, bile acids and phosphatidylcholines (PC). MASLD metabolomic studies had been performed in mice, rats, hamsters, cows, geese, blunt snout breams, zebrafish, and humans, with the biomarker groups in agreement between experimental and clinical investigations being energy metabolites, essential and nonessential amino acids, fatty acids, and bile acids, which lay the foundation of the five metabolomic hallmarks of MASLD. Furthermore, the experimental group had higher LPC/PC and cholesteryl esters, and the clinical group had elevated acylcarnitines, lysophosphatidylethanolamines/phosphatidylethanolamines (LPE/PE), triglycerides/diglycerides, and gut microbiota metabolites. These metabolomic hallmarks aid in the understanding of the metabolic role played by obesity in MASLD development, inform mechanistic studies into underlying disease pathogenesis, and are critical for new metabolite-inspired therapies.

Robotic Single Anastomosis Duodenal-ileal Bypass With Sleeve Gastrectomy (SADI-S) for Morbid Obesity: A Systematic Review

BACKGROUND/AIM

The global obesity epidemic has seen a dramatic increase in prevalence since 1975, posing significant health and economic challenges worldwide. Robotic-assisted single anastomosis duodenal-ileal bypass with sleeve gastrectomy (SADI-S) has emerged as a promising surgical intervention for morbid obesity, offering potential advantages over traditional laparoscopic approaches in terms of precision, safety, and recovery outcomes. This study aimed to evaluate the efficacy and safety of robotic-assisted SADI-S, focusing on perioperative and postoperative outcomes including intraoperative complications, operative time, conversion rates, mortality, length of hospital stay, weight loss, and postoperative complications.

MATERIALS AND METHODS

A comprehensive literature search was conducted on PubMed, Scopus, and Cochrane Library, adhering to inclusion and exclusion criteria focused on obese adult humans undergoing robotic SADI-S. Seven studies, published between 2015 and 2024, involving 204 patients, were ultimately included for analysis.

RESULTS

The analysis revealed a low rate of intraoperative complications (0.49%), no mortality, and varied operative times (138 to 205.7 min). The median hospital stay ranged from 2 to 6.7 days, with minimal readmission rates. Postoperative complications occurred in 6.37% of patients, but no late complications (>30 days) were reported. Notably, significant weight loss outcomes were documented, with mean excess weight loss (EWL) up to 113.74% at 24 months follow-up.

CONCLUSION

Robotic-assisted SADI-S demonstrates a favourable safety profile with promising weight loss outcomes, highlighting its potential as a primary or revisional treatment for morbid obesity. Further research, including randomized controlled trials, is needed to establish its long-term efficacy and cost-effectiveness compared to traditional laparoscopic methods.

Chronic hepatitis B and metabolic dysfunction-associated steatotic liver disease: Metabolic risk factors are key drivers of hepatocellular carcinoma

Objective

Chronic hepatitis B (CHB) and metabolic dysfunction-associated steatotic liver disease (MASLD) are the leading causes of hepatocellular carcinoma (HCC). This study aimed to explore the impact of baseline MASLD on the risk of HCC development in patients with CHB receiving antiviral treatment.

Methods

We consecutively recruited 535 patients with CHB who initiated antiviral treatment between January 2007 and January 2023. The exclusion criteria included coexisting HDV, HCV, or HIV infection; other chronic liver diseases; extrahepatic malignancies; prior HCC; and HCC development within one year. A baseline liver biopsy was performed in 467 patients (87 %). MASLD was defined as hepatic steatosis diagnosed histologically or by imaging, combined with one cardiometabolic risk factor. The cumulative incidence of HCC and its associated factors was analyzed in patients with CHB, with and without MASLD.

Results

In total, 535 treatment-naïve patients with CHB were included, with a median follow-up of 6.05 years. MASLD was not associated with an increased incidence of HCC in patients with CHB (HR: 1.17; 95 % CI: 0.77-1.79; p = 0.466). The cumulative incidence of HCC increased with the number of fulfilled cardiometabolic criteria (0-2 criteria vs. ≥ 3 criteria) (HR: 3.93; 95 % CI: 1.89-8.19; p < 0.001).Age (HR: 1.03, 95 % CI 1.01-1.06, p = 0.010), male sex (HR: 3.17; 95 % CI 1.34-7.53, p = 0.009), diabetes (HR: 2.81; 95 % CI 1.54-5.12, p < 0.001), and cirrhosis (HR:3.03; 95 % CI 1.57-5.5.86, p < 0.001) were independently associated with HCC development.

Conclusions

It was not MASLD, but rather the presence of multiple cardiometabolic risk factors in patients with CHB that was associated with the risk of HCC in those receiving antiviral treatment. Furthermore, older age, male sex, diabetes, and cirrhosis aggravated the risk of HCC in patients with CHB.

Phenotypes of Metabolic Dysfunction-Associated Steatotic Liver Disease-Associated Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) typically develops as a consequence of liver cirrhosis, but HCC epidemiology has evolved drastically in recent years. Metabolic dysfunction-associated steatotic liver disease (MASLD), including metabolic dysfunction-associated steatohepatitis, has emerged as the most common chronic liver disease worldwide and a leading cause of HCC. A substantial proportion of MASLD-associated HCC (MASLD-HCC) also can develop in patients without cirrhosis. The specific pathways that trigger carcinogenesis in this context are not elucidated completely, and recommendations for HCC surveillance in MASLD patients are challenging. In the era of precision medicine, it is critical to understand the processes that define the profiles of patients at increased risk of HCC in the MASLD setting, including cardiometabolic risk factors and the molecular targets that could be tackled effectively. Ideally, defining categories that encompass key pathophysiological features, associated with tailored diagnostic and treatment strategies, should facilitate the identification of specific MASLD-HCC phenotypes. In this review, we discuss MASLD-HCC, including its epidemiology and health care burden, the mechanistic data promoting MASLD, metabolic dysfunction-associated steatohepatitis, and MASLD-HCC. Its natural history, prognosis, and treatment are addressed specifically, as the role of metabolic phenotypes of MASLD-HCC as a potential strategy for risk stratification. The challenges in identifying high-risk patients and screening strategies also are discussed, as well as the potential approaches for MASLD-HCC prevention and treatment.

Current status and future trends of the global burden of MASLD

Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as the most common chronic liver disease globally, affecting more than a third of the world's adult population. This comprehensive narrative review summarizes the global incidence and prevalence rates of MASLD and its related adverse hepatic and extrahepatic outcomes. We also discuss the substantial economic burden of MASLD on healthcare systems, thus further highlighting the urgent need for global efforts to tackle this common and burdensome liver condition. We emphasize the clinical relevance of early interventions and a holistic approach that includes public health strategies to reduce the global impact of MASLD.

The short- and long-term readmission of four major categories of digestive system cancers: does obesity or metabolic disorder matter?

Purpose

Patients with digestive system cancers (DSCs) are at a high risk for hospitalizations; however, the risk factors for readmission remain unknown. Here, we established a retrospective cohort study to assess the association between metabolic obesity phenotypes and readmission risks of DSC.

Experimental design

A total of 142,753 and 74,566 patients at index hospitalization were ultimately selected from the Nationwide Readmissions Database (NRD) 2018 to establish the 30-day and 180-day readmission cohorts, respectively. The study population was classified into four groups: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO). Multivariate Cox regression analysis was used to estimate the effect of metabolic obesity phenotypes on DSC readmission.

Results

The MUNO phenotype had 1.147-fold (95% CI: 1.066, 1.235; p < 0.001) increased 180-day readmission risks in patients with neoplasm of the upper digestive tract. The MUNO phenotype had 1.073-fold (95% CI: 1.027, 1.121; p = 0.002) increased 30-day readmission risks and 1.067-fold (95% CI: 1.021, 1.115; p = 0.004) increased 180-day readmission risks in patients with neoplasm of the lower digestive tract. The MUNO and MUO phenotypes were independent risk factors of readmission in patients with liver or pancreatic neoplasm. Metabolic obesity status was independently associated with a high risk of severe and unplanned hospitalization within 30 days or 180 days.

Conclusion

Both obesity and metabolic abnormalities are associated with a high risk for the poor prognosis of DSC patients. The effect of metabolic categories on the short- or long-term readmission of liver or pancreas cancers may be stronger than that of obesity.

Metabolic liver cancer: associations of rare and common germline variants in one-carbon metabolism and DNA methylation genes

Animal studies implicate one-carbon metabolism and DNA methylation genes in hepatocellular carcinoma (HCC) development in the setting of metabolic perturbations. Using human samples, we investigated the associations between common and rare variants in these closely related biochemical pathways and risk for metabolic HCC development in a multicenter international study. We performed targeted exome sequencing of 64 genes among 556 metabolic HCC cases and 643 cancer-free controls with metabolic conditions. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for multiple comparisons. Gene-burden tests were used for rare variant associations. Analyses were performed in the overall sample and among non-Hispanic whites. The results show that among non-Hispanic whites, presence of rare functional variants in ABCC2 was associated with 7-fold higher risk of metabolic HCC (OR = 6.92, 95% CI: 2.38-20.15, P = 0.0004), and this association remained significant when analyses were restricted to functional rare variants observed in ≥2 participants (cases 3.2% versus controls 0.0%, P = 1.02 × 10-5). In the overall multiethnic sample, presence of rare functional variants in ABCC2 was nominally associated with metabolic HCC (OR = 3.60, 95% CI: 1.52-8.58, P = 0.004), with similar nominal association when analyses were restricted to functional rare variants observed in ≥2 participants (cases 2.9% versus controls 0.2%, P = 0.006). A common variant in PNPLA3 (rs738409[G]) was associated with higher HCC risk in the overall sample (P = 6.36 × 10-6) and in non-Hispanic whites (P = 0.0002). Our findings indicate that rare functional variants in ABCC2 are associated with susceptibility to metabolic HCC in non-Hispanic whites. PNPLA3-rs738409 is also associated with metabolic HCC risk.

Metabolic obesity phenotypes and obesity-related cancer risk in the National Health and Nutrition Examination Survey

INTRODUCTION

Body mass index (BMI) fails to identify up to one-third of normal weight individuals with metabolic dysfunction who may be at increased risk of obesity-related cancer (ORC). Metabolic obesity phenotypes, an alternate metric to assess metabolic dysfunction with or without obesity, were evaluated for association with ORC risk.

METHODS

National Health and Nutrition Examination Survey participants from 1999 to 2018 (N = 19,500) were categorized into phenotypes according to the metabolic syndrome (MetS) criteria and BMI: metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUNW), metabolically healthy overweight/obese (MHO) and metabolically unhealthy overweight/obese (MUO). Adjusted multivariable logistic regression models were used to evaluate associations with ORC.

RESULTS

With metabolic dysfunction defined as ≥1 MetS criteria, ORC cases (n = 528) had higher proportions of MUNW (28.2% vs. 17.4%) and MUO (62.6% vs. 60.9%) phenotypes than cancer-free individuals (n = 18,972). Compared with MHNW participants, MUNW participants had a 2.2-times higher ORC risk [OR (95%CI) = 2.21 (1.27-3.85)]. MHO and MUO participants demonstrated a 43% and 56% increased ORC risk, respectively, compared to MHNW, but these did not reach statistical significance [OR (95% CI) = 1.43 (0.46-4.42), 1.56 (0.91-2.67), respectively]. Hyperglycaemia, hypertension and central obesity were all independently associated with higher ORC risk compared to MHNW.

CONCLUSIONS

MUNW participants have a higher risk of ORC than other abnormal phenotypes, compared with MHNW participants. Incorporating metabolic health measures in addition to assessing BMI may improve ORC risk stratification. Further research on the relationship between metabolic dysfunction and ORC is warranted.

NAFLD-related hepatocellular carcinoma: The growing challenge

Hepatocellular carcinoma (HCC) is a common cause of cancer-related mortality and morbidity worldwide. With the obesity pandemic, NAFLD-related HCC is contributing to the burden of disease exponentially. Genetic predisposition and clinical risk factors for NAFLD-related HCC have been identified. Cirrhosis is a well-known and major risk factor for NAFLD-related HCC. However, the occurrence of NAFLD-related HCC in patients without cirrhosis is increasingly recognized and poses a significant challenge regarding cancer surveillance. It is of paramount importance to develop optimal risk stratification scores and models to identify subsets of the population at high risk so they can be enrolled in surveillance programs. In this review, we will discuss the risks and prediction models for NAFLD-related HCC.

Metabolic Risk Factors for Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease: A Prospective Study

Non-alcoholic fatty liver disease (NAFLD) is a fast-growing public health problem and predisposes to hepatocellular carcinoma (HCC) in a significant proportion of patients. Metabolic alterations might underlie the progression of NAFLD to HCC, but the magnitudes of risk and population-attributable risk fractions (PAFs) for various metabolic conditions that are associated with HCC risk in patients with NAFLD are unknown. We investigated the associations between metabolic conditions and HCC development in individuals with a prior history of NAFLD. The study included 11,245 participants in the SEER-Medicare database, comprising 1310 NAFLD-related HCC cases and 9835 NAFLD controls. We excluded individuals with competing liver diseases (e.g., alcoholic liver disease and chronic viral hepatitis). Baseline pre-existing diabetes mellitus, dyslipidemia, obesity, hypertension, hypothyroidism, and metabolic syndrome were assessed. Multivariable-adjusted logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). PAFs were also calculated for each metabolic condition. The results show that diabetes (OR = 2.39, 95% CI: 2.04-2.79), metabolic syndrome (OR = 1.73, 95% CI: 1.49-2.01), and obesity (OR = 1.62, 95% CI: 1.43-1.85) were associated with a higher HCC risk in individuals with NAFLD. The highest PAF for HCC was observed for pre-existing diabetes (42.1%, 95% CI: 35.7-48.5), followed by metabolic syndrome (28.8%, 95% CI: 21.7-35.9) and obesity (13.2%, 95% CI: 9.6-16.8). The major predisposing factors for HCC in individuals with NAFLD are diabetes mellitus, metabolic syndrome, and obesity, and their control would be critically important in mitigating the rising incidence of NAFLD-related HCC.