Prevalence of at‐risk MASH, MetALD and alcohol‐associated steatotic liver disease in the general population

Alimentary Pharmacology & Therapeutics, Год журнала: 2024, Номер 59(10), С. 1271 - 1281

Опубликована: Март 19, 2024

The prevalence of at-risk metabolic dysfunction-associated steatohepatitis (at-risk MASH) has not been systematically assessed.

Язык: Английский

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Evaluation of ultrasound derived fat fraction for metabolic associated fatty liver disease in obese patients with polycystic ovary syndrome

Journal of Ultrasound, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Язык: Английский

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Causal relationship analysis of MRI measurements of major human internal organs and liver disease

European journal of medical research, Год журнала: 2025, Номер 30(1)

Опубликована: Апрель 11, 2025

This study aimed to explore the causal association between imaging measurement indicators of major internal organs and liver lesions using a two-sample Mendelian randomization (MR) method. Data from UK Biobank GWAS Catalog platform were used select single nucleotide polymorphisms (SNPs) associated with MRI or derived results various organ as genetic instrumental variables. FinnGen project's R9 version lesion outcomes, such nonalcoholic fatty disease (NAFLD), cirrhosis, primary hepatocellular carcinoma (HCC). UVMR analysis utilized variable-by-variable, MVMR was adjust for confounding on significant Steiger directional test, heterogeneity, pleiotropy, sensitivity tests conducted enhance reliability. Univariate (UVMR) indicated that volume (LV), fat (LF), subcutaneous adipose tissue (SATM) are risk factors NAFLD. The multivariable MR (MVMR) NAFLD showed LV LF remained significant, while SATM did not. For cirrhosis (NAC), suggested LV, LF, factors, but only significant. Additionally, pancreatic (PV) found be protective factor, splenic (SV) pathogenic factor NAC. HCC, both analyses iron (LI) not remain in analysis. In NAC stage, additional effects PV SV observed. related LI support effect HCC stage.

Язык: Английский

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Telomere Length, Brain Imaging-Derived Phenotypes, and Alzheimer’s Disease: Mendelian Randomization Analysis

Molecular Neurobiology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 12, 2025

Язык: Английский

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Rethinking carnitine palmitoyltransferase II and liver stem cells in metabolic dysfunction-associated fatty liver disease-related hepatocellular carcinoma

World Journal of Gastroenterology, Год журнала: 2025, Номер 31(15)

Опубликована: Апрель 17, 2025

This article discusses a recent study by Wang et al that sheds light on the metabolic and immunological mechanisms driving progression of dysfunction-associated fatty liver disease (MAFLD) to hepatocellular carcinoma (HCC). The highlights role mitochondrial carnitine palmitoyltransferase II (CPT II) inactivity, which activates cancer stem cells marked cluster differentiation 44 (CD44) CD24 expression, promoting HCC development. Using dynamic mouse models clinical samples, identified CPT downregulation, membrane potential alterations, reduced intrahepatic CD4+ T cell as key drivers progression. findings link these changes steroid biosynthesis p53 signaling, contributing T-cell dysfunction immunosuppression. emphasizes relevance results in understanding MAFLD pathogenesis therapeutic strategies targeting activity, function, immune surveillance prevent or mitigate development advanced MAFLD.

Язык: Английский

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Ultrasound-derived fat fraction to assess liver steatosis in obese patients with polycystic ovary syndrome

Clinical and Experimental Medicine, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 29, 2025

Язык: Английский

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Objective measures of cardiometabolic risk and advanced fibrosis risk progression in primary care patients with metabolic dysfunction-associated steatotic liver disease.

Endocrine Practice, Год журнала: 2024, Номер 30(11), С. 1015 - 1022

Опубликована: Авг. 8, 2024

Язык: Английский

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Brain imaging traits and epilepsy: Unraveling causal links via mendelian randomization

Brain and Behavior, Год журнала: 2024, Номер 14(10)

Опубликована: Сен. 30, 2024

Abstract Background Epilepsy, a complex neurological disorder, is closely linked with structural and functional irregularities in the brain. However, causal relationship between brain imaging‐derived phenotypes (IDPs) epilepsy remains unclear. This study aimed to investigate this by employing two‐sample bidirectional Mendelian randomization (MR) approach. Methods The analysis involved 3935 cerebral IDPs from UK Biobank all documented cases of (all epilepsies) cohorts International League Against further validation through replication meta‐analyses using Genome‐Wide Association Studies datasets FinnGen database. Additionally, multivariate MR framework was utilized assess direct impact on epilepsies. Furthermore, we performed identified epilepsies 15 specific subtypes epilepsy. Results significant links four risk. Decreased fractional anisotropy left inferior longitudinal fasciculus associated higher risk (odds ratio [OR]: 0.89, p = 3.31×10 −5 ). Conversely, increased mean L1 posterior thalamic radiation (PTR) independently heightened (OR: 1.14, 4.72×10 Elevated L3 cingulate gyrus also an 1.09, .03), while decreased intracellular volume fraction corpus callosum correlated 0.94, 1.15×10 −4 Subtype revealed that three these are primarily focal (FE). Notably, PTR elevated hippocampal sclerosis (HS) lesion‐negative FE, whereas HS‐related FE. Conclusions Our research offers genetic evidence for link These results enhance our understanding changes onset progression

Язык: Английский

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MRI Proton Density Fat Fraction for Liver Disease Risk Assessment: A Call for Clinical Implementation

Radiology, Год журнала: 2023, Номер 309(1)

Опубликована: Окт. 1, 2023

Язык: Английский

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Multi-organ imaging-derived polygenic indexes for brain and body health

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Апрель 20, 2023

The UK Biobank (UKB) imaging project is a crucial resource for biomedical research, but limited to 100,000 participants due cost and accessibility barriers. Here we used genetic data predict heritable imaging-derived phenotypes (IDPs) larger cohort. We developed evaluated 4,375 IDP scores (IGS) derived from UKB brain body images. When applied who were not imaged, IGS revealed links numerous stratified at increased risk both somatic diseases. For example, identified individuals higher Alzheimer's disease multiple sclerosis, offering additional insights beyond traditional polygenic of these independent external cohorts, also those high in the All Us Research Program Disease Neuroimaging Initiative study. Our results demonstrate that, while cohort largely healthy may be most enriched management, it holds immense potential stratifying various diseases broader cohorts.

Язык: Английский

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