Metabolic dysfunction-associated fatty liver disease reflects a significantly higher risk of hypertension than non-alcoholic fatty liver disease

Uehara, Tatsuki; Wakui, Hiromichi; Tamura, Kouichi

doi:10.1038/s41440-023-01241-x

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The pathophysiological aspects of fatty liver disease, metabolic syndrome, and type 2 diabetes are closely related, with inflammatory processes in the adipose tissue, gut, and liver playing a crucial role [16]. Experts have recently suggested the term 'metabolic dysfunction associated fatty liver disease' (MAFLD) as a replacement for 'NAFLD' in order to more accurately represent the pathophysiology and cardiometabolic consequences of this prevalent liver condition [4,17]. Furthermore, contemporary research highlights the diverse associations between fatty liver and numerous health hazards [18,19].…”

Section: Introductionmentioning

confidence: 99%

Unraveling the Connection between Fatty Liver Severity with Gender, Lifestyle, and Health Risks among Workers

Tang,

Li,

Huang

2023

Nutrients

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The purpose of this study was to investigate the correlation between the severity of fatty liver and factors such as gender, lifestyle, and the risks of metabolic abnormalities, inflammation, and liver dysfunction in the working population. This cross-sectional study included 2936 workers aged 21–64 years. The severity of fatty liver was assessed using ultrasound. A self-administered survey was used to evaluate lifestyle habits. Data on anthropometric measurements, blood pressure, blood tests, and biochemical evaluations was collected. The 45.5% of workers had fatty liver. Males had a higher prevalence of fatty liver and health risks and several unhealthy lifestyle habits compared to females. The health behavior score related to exercise showed notable declines as the severity of fatty liver increased (p < 0.001). Percentages of current alcohol drinkers differed among different levels of fatty liver, with rates of 43.1, 48.4, 44.8, and 63.4% (p = 0.005) observed in the absence, mild, moderate, and severe fatty liver, respectively. Workers with fatty liver showed increased risks related to metabolic anomalies, especially in severe cases. The risk of inflammation and liver dysfunction also significantly increased with elevated fatty liver severity. Overall, fatty liver presents significant health risks, with nearly half of the workers diagnosed with the condition. To improve liver health, it is crucial to have customized strategies for promoting health, taking into account the different levels of severity in fatty liver.

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Section: Introductionmentioning

confidence: 99%

Unraveling the Connection between Fatty Liver Severity with Gender, Lifestyle, and Health Risks among Workers

Tang,

Li,

Huang

2023

Nutrients

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Development and validation of a machine learning-based framework for assessing metabolic-associated fatty liver disease risk

Deng,

Ji,

Liu

et al. 2024

BMC Public Health

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Background The existing predictive models for metabolic-associated fatty liver disease (MAFLD) possess certain limitations that render them unsuitable for extensive population-wide screening. This study is founded upon population health examination data and employs a comparison of eight distinct machine learning (ML) algorithms to construct the optimal screening model for identifying high-risk individuals with MAFLD in China. Methods We collected physical examination data from 5,171,392 adults residing in the northwestern region of China, during the year 2021. Feature selection was conducted through the utilization of the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Additionally, class balancing parameters were incorporated into the models, accompanied by hyperparameter tuning, to effectively address the challenges posed by imbalanced datasets. This study encompassed the development of both tree-based ML models (including Classification and Regression Trees, Random Forest, Adaptive Boosting, Light Gradient Boosting Machine, Extreme Gradient Boosting, and Categorical Boosting) and alternative ML models (specifically, k-Nearest Neighbors and Artificial Neural Network) for the purpose of identifying individuals with MAFLD. Furthermore, we visualized the importance scores of each feature on the selected model. Results The average age (standard deviation) of the 5,171,392 participants was 51.12 (15.00) years, with 52.47% of the participants being females. MAFLD was diagnosed by specialized physicians. 20 variables were finally included for analyses after LASSO regression model. Following ten rounds of cross-validation and parameter optimization for each algorithm, the CatBoost algorithm exhibited the best performance, achieving an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.862. The ranking of feature importance indicates that age, BMI, triglyceride, fasting plasma glucose, waist circumference, occupation, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, systolic blood pressure, diastolic blood pressure, ethnicity and cardiovascular diseases are the top 13 crucial factors for MAFLD screening. Conclusion This study utilized a large-scale, multi-ethnic physical examination data from the northwestern region of China to establish a more accurate and effective MAFLD risk screening model, offering a new perspective for the prediction and prevention of MAFLD.

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Beneficial Effects of the Ketogenic Diet on Nonalcoholic Fatty Liver Disease (NAFLD/MAFLD)

Dyńka,

Rodzeń,

Rodzeń

et al. 2024

JCM

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The prevalence of nonalcoholic fatty liver disease (NAFLD) is likely to be approaching 38% of the world’s population. It is predicted to become worse and is the main cause of morbidity and mortality due to hepatic pathologies. It is particularly worrying that NAFLD is increasingly diagnosed in children and is closely related, among other conditions, to insulin resistance and metabolic syndrome. Against this background is the concern that the awareness of patients with NAFLD is low; in one study, almost 96% of adult patients with NAFLD in the USA were not aware of their disease. Thus, studies on the therapeutic tools used to treat NAFLD are extremely important. One promising treatment is a well-formulated ketogenic diet (KD). The aim of this paper is to present a review of the available publications and the current state of knowledge of the effect of the KD on NAFLD. This paper includes characteristics of the key factors (from the point of view of NAFLD regression), on which ketogenic diet exerts its effects, i.e., reduction in insulin resistance and body weight, elimination of fructose and monosaccharides, limitation of the total carbohydrate intake, anti-inflammatory ketosis state, or modulation of gut microbiome and metabolome. In the context of the evidence for the effectiveness of the KD in the regression of NAFLD, this paper also suggests the important role of taking responsibility for one’s own health through increasing self-monitoring and self-education.

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Metabolic dysfunction-associated fatty liver disease reflects a significantly higher risk of hypertension than non-alcoholic fatty liver disease

Cited by 3 publications

References 18 publications

Unraveling the Connection between Fatty Liver Severity with Gender, Lifestyle, and Health Risks among Workers

Unraveling the Connection between Fatty Liver Severity with Gender, Lifestyle, and Health Risks among Workers

Development and validation of a machine learning-based framework for assessing metabolic-associated fatty liver disease risk

Beneficial Effects of the Ketogenic Diet on Nonalcoholic Fatty Liver Disease (NAFLD/MAFLD)

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