The Asian Pacific association for the study of the liver clinical practice guidelines for the diagnosis and management of metabolic dysfunction-associated fatty liver disease

Hepatology International, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Язык: Английский

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A global survey on the use of the international classification of diseases codes for metabolic dysfunction-associated fatty liver disease

Hepatology International, Год журнала: 2024, Номер 18(4), С. 1178 - 1201

Опубликована: Июнь 15, 2024

Язык: Английский

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Metabolic-Associated Fatty Liver Disease: The Influence of Oxidative Stress, Inflammation, Mitochondrial Dysfunctions, and the Role of Polyphenols

Pharmaceuticals, Год журнала: 2024, Номер 17(10), С. 1354 - 1354

Опубликована: Окт. 10, 2024

Metabolic-Associated Fatty Liver Disease (MAFLD) is a clinical-pathological scenario that occurs due to the accumulation of triglycerides in hepatocytes which considered significant cause liver conditions and contributes an increased risk death worldwide. Even though possible causes MAFLD can involve interaction genetics, hormones, nutrition, lifestyle (diet sedentary lifestyle) most influential factor developing this condition. Polyphenols comprise many natural chemical compounds be helpful managing metabolic diseases. Therefore, aim review was investigate impact oxidative stress, inflammation, mitochondrial dysfunction, role polyphenols MAFLD. Some reverse part damage related or among them are anthocyanin, baicalin, catechin, curcumin, chlorogenic acid, didymin, epigallocatechin-3-gallate, luteolin, mangiferin, puerarin, punicalagin, resveratrol, silymarin. These have actions reducing plasma enzymes, body mass index, waist circumference, adipose visceral indices, lipids, glycated hemoglobin, insulin resistance, HOMA index. They also reduce nuclear factor-KB (NF-KB), interleukin (IL)-1β, IL-6, tumor necrosis factor-α (TNF-α), blood pressure, fat content, steatosis fibrosis. On other hand, they improve HDL-c, adiponectin levels, fibrogenesis markers. results show promising prevention treatment

Язык: Английский

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Fructose Intake and Unhealthy Eating Habits Are Associated with MASLD in Pediatric Obesity: A Cross-Sectional Pilot Study

Nutrients, Год журнала: 2025, Номер 17(4), С. 631 - 631

Опубликована: Фев. 10, 2025

Background/Objectives: Fructose consumption in children is increasing, as the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD). Despite evidence linking added sugars to syndrome, fructose's impact on youth remains unclear, especially pediatrics. Our study aimed evaluate role fructose intake and dysfunction a cohort pre-school adolescents with obesity. Methods: We recruited 41 obesity (age range: 2.5-16 years, BMI SDS 2.6 ± 0.5 kg/m2). Clinical biochemical parameters were assessed. Through ultrasound (US), MASLD, hepatorenal index (HRI), subcutaneous adipose tissue (scAT), visceral (vAT) Dietary was evaluated using IDEFICS FFQ fructose-specific questionnaire. Results: Pubertal subjects had more scAT vAT, higher insulin resistance, fibrosis than those prepubertal. MASLD detected 12 subjects, associated vAT. lower weekly prepubertal (p < 0.02). However, they consumed less from fruits 0.04) other younger children. Patients reported 0.01), primarily 0.003), likely due misreporting, alongside unhealthy food, mainly rich saturated fats. Conclusions: dietary habits Advice pay attention foods fats mandatory decrease both MASLD. Further high-powered studies any pediatric age different geographical areas are needed better history.

Язык: Английский

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Drug-target Mendelian randomisation applied to metabolic dysfunction-associated steatotic liver disease: opportunities and challenges

eGastroenterology, Год журнала: 2024, Номер 2(4), С. e100114 - e100114

Опубликована: Окт. 1, 2024

Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as the most prevalent cause of chronic worldwide affecting over one-third adult population. Despite recent evolution new nomenclature and diagnostic criteria for MASLD, progress in drug development this condition remains limited. This review highlights potential drug-target Mendelian randomisation (MR), a study design that leverages human genetics genomics, discovery, repositioning safety assessment targets MASLD. We summarised key aspects designing appraising MR study, discussing its inherent assumptions considerations instrument selection. Furthermore, we presented real-world examples from studies MASLD which focused on opportunities challenges identifying novel targets, repositing existing informing adjunctive treatments addressing issues paediatric

Язык: Английский

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Global Burden of Metabolic Dysfunction-Associated Liver Disease, 2010 to 2021☆

JHEP Reports, Год журнала: 2024, Номер 7(3), С. 101271 - 101271

Опубликована: Ноя. 14, 2024

This study used the Global Burden of Disease data (2010-2021) to analyze rates and trends point prevalence, annual incidence, years lived with disability (YLDs) for metabolic dysfunction-associated steatotic liver disease (MASLD) in 204 countries. Total numbers age-standardized per 100,000 population MASLD YLDs were compared across regions countries by age, sex, sociodemographic index (SDI). Smoothing spline models evaluate relationship between burden SDI. Estimates reported uncertainty intervals (UI). Globally, 2021, prevalence 15,018.1 cases (95% UI 13,756.5-16,361.4), incidence 608.5 (598.8-617.7), 0.5 (0.3-0.8) years. was higher men than women (15,731.4 vs. 14,310.6 population). Prevalence peaked at ages 45-49 50-54 women. Kuwait (32,312.2 people; 95% UI: 29,947.1-34,839.0), Egypt (31,668.8 29,272.5-34,224.7), Qatar (31,327.5 29,078.5-33,790.9) had highest 2021. The largest increases estimates from 2010 2021 China (16.9%, 14.7%-18.9%), Sudan (13.3%, 9.8%-16.7%) India (13.2%, 12.0%-14.4%). varied SDI, peaking moderate SDI levels. is a global health concern, Kuwait, Egypt, Qatar. Raising awareness about risk factors prevention essential every country, especially China, India, where are rapidly increasing. research provides comprehensive analysis MASLD, highlighting its rising particularly varying indices. findings significant both clinicians policymakers, as they offer critical insights into regional disparities burden, which can inform targeted intervention strategies. However, study's reliance on modeling available suggests cautious interpretation, further needed validate these clinical real-world settings.

Язык: Английский

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The association between working hours and working type with non-alcoholic fatty liver disease: results from the NHANES 1999-2014

Frontiers in Endocrinology, Год журнала: 2025, Номер 15

Опубликована: Янв. 14, 2025

Background Previous research has indicated that long working hours are connected to a variety of health conditions, including nonalcoholic fatty liver disease (NAFLD). However, this association which been observed in more population is limited. Our designed evaluate the between hours, type, and NAFLD. Methods The study comprised adults with complete details on NAFLD from NHANES 1999-2014. We employed hepatic steatosis index (HSI) examined relationship or type using weighted multiple-variable regression models restricted cubic spline (RCS) analysis. In addition, further subgroup analysis was performed based sex, age, ratio family income poverty (PIR), education, diabetes. Results Long were significantly linked an elevated risk (OR: 1.57, 95%CI: 1.21-2.05), even after controlling for confounding factors. RCS suggested there no nonlinear them. When weekly &gt; 50, likelihood among heightened 57% increased 99% female population. As increasing physical intensity work associated higher risk, but only heavy manual labor continued show significance adjustment (OR:1.39, 1.06-1.81). significant older male populations. Conclusion results indicate engaging independent factors increase individuals engage extended periods, developing rises.

Язык: Английский

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Potential alternative and novel biomarkers for paediatric MAFLD: exploratory evidence from a Chinese cohort

BMC Gastroenterology, Год журнала: 2025, Номер 25(1)

Опубликована: Янв. 22, 2025

Abstract Background While the associations between pediatric non-obese metabolic dysfunction-associated fatty liver disease (MAFLD) and multiple diagnostic biomarkers are well-established, role of a broader range blood-based, urine-based, body composition-based for monitoring MAFLD needed. Methods A cohort was established in Wuxi, China. We measured composition biomarkers, blood-based urine-based stiffness participants to diagnose identify alternative novel potential MAFLD. Body mass index (BMI), high-density lipoprotein cholesterol (HDLC), triglycerides, glucose, systolic blood pressure (SBP), diastolic (DBP), waist perimeter were used as biomarkers. To we performed correlation analysis determine exhibited strong (| r | > 0.8, p-value < 0.05) with regression associated ( 0.05 stepwise multivariate regression) among remaining that not related Results Out 1,108 who completed all examinations N biomarker = 91), 113 diagnosed (prevalence: 14.99% boys 5.18% girls). 27 strongly correlated identified logistic 9 including 5 (plateletocrit, calcium, insulin, AST/ALT ratio, total bilirubin), urine pH, fat measurements arm, leg, thigh. Conclusions This study illustrated characteristics based on Chinese paediatric cohort. These findings posed new paths guiding prevention early diagnosis prevention. Trial registration trial registered Clinical Trials Registry (ChiCTR2400080508). The date first registration, 01/31/2024. Retrospectively registered.

Язык: Английский

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Impact of segmental body composition on metabolic dysfunction-associated fatty liver disease in Chinese children

Frontiers in Endocrinology, Год журнала: 2025, Номер 16

Опубликована: Фев. 17, 2025

Purpose This study aimed to assess the relationship between regional body composition and metabolic dysfunction-associated fatty liver disease (MAFLD) in Chinese children. Methods In this study, 1399 children aged 7–14 years were included. Liver steatosis was assessed using controlled attenuation parameter (CAP) measured through Fibroscan. MAFLD is defined as presence of along with either overweight/obesity, prediabetes/diabetes, or at least two index abnormalities. Regression analyses applied Subgroup performed based on sex weight. Results The participants had a mean age 9 years, 52.11% being boys. Among them, 134 (9.57%) diagnosed MAFLD, 17 (1.22%) severe disease. We found an inverse correlation muscle percentage each region extremities demonstrating most significant negative (OR: 0.732; 95% CI: 0.634–0.844). Conversely, fat positively associated strongest upper limbs 3.104; 2.023–4.764). showed similar results. Conclusion decrease percentage, particularly limbs, increase especially higher probability developing prepubertal Additional prospective studies are needed strengthen validate these findings.

Язык: Английский

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Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review

Diabetes/Metabolism Research and Reviews, Год журнала: 2025, Номер 41(4)

Опубликована: Март 27, 2025

ABSTRACT Background Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterised by abdominal obesity, hypertension, hyperglycaemia, and dyslipidaemia. It recognised as one of the major clinical syndromes affecting human health, with approximately one‐quarter global population impacted. MetS increases risk developing cardiovascular diseases (CVDs), stroke, type 2 diabetes mellitus (T2DM), diverse metabolic diseases. Early diagnosis could potentially reduce prevalence these However, care for faces significant challenges due to (i) lack comprehensive understanding full spectrum associated diseases, stemming from unclear mechanisms (ii) frequent underdiagnosis or misdiagnosis in settings inconsistent screening guidelines, limited medical resources, time constraints practice, insufficient awareness training. The increasing availability healthcare data presents opportunities apply innovate artificial intelligence (AI) addressing challenges. This review aims summarise AI models applied syndrome‐related (MetSRD), where MetSRD collectively refers conditions directly MetS. Methods Our consists two phases. Initially, we conducted literature on narrow down based strength evidence. We then used terms ‘Metabolic Syndrome’ ‘Machine Learning’ combination identified further refinement. In total, 52 related first phase 36 articles second phase. Results total after phase, T2DM, CVDs, cancer being top three. Among obtained observed following: criteria were across studies. primary purpose applications was identify factors thereby improving predictions MetSRD. Traditional machine learning models, such Random Forest Logistic Regression, found be most effective. (iii) addition criteria, explored other factors, including demographic physiological variables, dietary influences, lipidomic proteomic indicators, more. Conclusion underscores link between particular focus underreported non‐alcoholic fatty liver disease stroke. Through analysis sources, diagnostic additional indicators beyond traditional measures have been identified, emphasising importance combining both non‐traditional markers enhance predictive capabilities shows great potential research, particularly through integration multi‐source data, metrics, genetic information, omics data. amalgamation modern promising, offering balanced approach model performance complexity. While international definitions provide applicability, they may not suitable all populations scenarios, necessitating flexible adaptive, explainable algorithms. Ultimately, will enable personalised diagnostics targeted interventions.

Язык: Английский

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