Association of metabolic signatures of air pollution with MASLD: Observational and Mendelian randomization study

Journal of Hepatology, Год журнала: 2024, Номер unknown

Опубликована: Сен. 1, 2024

Язык: Английский

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Prophylactic effects of nutrition, dietary strategies, exercise, lifestyle and environment on nonalcoholic fatty liver disease

Annals of Medicine, Год журнала: 2025, Номер 57(1)

Опубликована: Фев. 12, 2025

Background Nonalcoholic fatty liver disease (NAFLD) is a chronic and its prevalence has risen sharply. However, whether nutrition, dietary strategies, exercise, lifestyle environment have preventive value for NAFLD remains unclear.

Язык: Английский

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Impact of Education on Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A Southern Italy Cohort-Based Study

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(6), С. 1950 - 1950

Опубликована: Март 13, 2025

Background: An association between education levels and liver disease has been confirmed, but not yet with metabolic dysfunction-associated steatotic (MASLD). The aim is to investigate the relationship MASLD in two cohorts southern Italy. Methods: study cohort included 2909 participants assessed during third recall of MICOL second NUTRIHEP, subdivided into four groups based on levels. Results: A strong protective was found higher Participants had an OR = 0.50 (p < 0.001, 0.36 0.69 95% C.I.), 0.29 0.21 0.41), 0.24 0.16 0.37 C.I.) for middle, high school, graduate education, respectively. Conclusions: This study’s findings indicate that there linking level, i.e., having a lower level increases risk disease, proper policy regulate may also mitigate ever-increasing problem this disease.

Язык: Английский

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Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0319851 - e0319851

Опубликована: Март 18, 2025

Objective Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between non-high-density lipoprotein cholesterol high-density ratio (NHHR) MAFLD, establish predictive model for MAFLD using NHHR as key variable. Methods All participants were selected from NHANES cohort, spanning 2017 March 2020. Multiple linear regression models employed examine controlled attenuation parameter (CAP). To non-linear association CAP, smooth curve fitting restricted cubic splines (RCS) of adjusted variables utilized. Subgroup analyses conducted identify variations in relationships independent dependent across different populations. Finally, metabolic prediction was developed seven machine learning methods, including eXtreme Gradient Boosting (XGBoost), Light Machine (LightGBM), Multilayer Perceptron (MLP), Random Forest, Support Vector (SVM), K-Nearest Neighbors (KNN), logistic regression. The SHAP (SHapley Additive exPlanations) value interpret importance various features. Result Weighted multiple revealed significant positive correlation CAP (Beta = 7.42, 95% CI: 5.35-9.50, P < 0.001). Smooth RCS demonstrated CAP. indicated that this more pronounced females. Among incorporating NHHR, XGBoost algorithm exhibited highest performance, an area under (AUC) 0.828. Furthermore, identified second most important feature analysis, following body mass index (BMI), highlighting its potential predicting MAFLD. Conclusion A inclusion robust capability, providing valuable tool considerable clinical application potential.

Язык: Английский

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Phosphodiesterase and psychiatric disorders: a two-sample Mendelian randomization study

Journal of Translational Medicine, Год журнала: 2023, Номер 21(1)

Опубликована: Авг. 21, 2023

Phosphodiesterases (PDEs) have been associated with psychiatric disorders in observational studies; however, the causality of associations remains unestablished.Specifically, cyclic nucleotide PDEs were collected from genome-wide association studies (GWASs), including obtained by hydrolyzing both adenosine monophosphate (cAMP) and guanosine (cGMP) (PDE1A, PDE2A, PDE3A), specific to cGMP (PDE5A, PDE6D, PDE9A) cAMP (PDE4D PDE7A). We performed a bidirectional two-sample Mendelian randomization (MR) analysis investigate relationship between nine disorders. The inverse-variance-weighted (IVW) method, MR-Egger, weighted median used estimate causal effects. Cochran's Q test, MR-Egger intercept MR Steiger leave-one-out analyses, funnel plot, pleiotropy residual sum outlier (MR-PRESSO) for sensitivity analyses.The higher-odds For example, PDE4D schizophrenia (SCZ) (odds ratios (OR) = 1.0531, PIVW 0.0414), as well major depressive disorder (MDD) (OR 1.0329, 0.0011). Similarly, PDE7A was higher odds attention-deficit/hyperactivity (ADHD) 1.0861, 0.0038). Exploring PDE subtypes increase intracellular levels can inform development targeted interventions. also observed (which hydrolyzes cGMP) [OR PDE1A 1.0836 autism spectrum disorder; OR PDE2A 0.8968 Tourette syndrome (TS) 0.9449 SCZ; PDE3A 0.9796 MDD; P < 0.05]. Furthermore, had some effects on [obsessive-compulsive increased PDE6D decreased PDE4D; anorexia nervosa PDE9A]. results found be robust using multiple analysis.In this study, potential relationships plasma proteins established. other not included study could provide more comprehensive understanding role medications targeting may promising therapeutic approach treating

Язык: Английский

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The associations between gut microbiota and chronic respiratory diseases: a Mendelian randomization study

Frontiers in Microbiology, Год журнала: 2023, Номер 14

Опубликована: Июнь 2, 2023

Introduction Growing evidence indicates that variations in the composition of gut microbiota are linked to onset and progression chronic respiratory diseases (CRDs), albeit causal relationship between two remains unclear. Methods We conducted a comprehensive two-sample Mendelian randomization (MR) analysis investigate five main CRDs, including obstructive pulmonary disease (COPD), asthma, idiopathic fibrosis (IPF), sarcoidosis, pneumoconiosis. For MR analysis, inverse variance weighted (IVW) method was utilized as primary method. The MR–Egger, median, MR-PRESSO statistical methods were used supplement. To detect heterogeneity pleiotropy, Cochrane Rucker Q test, MR–Egger intercept global test then implemented. leave-one-out strategy also applied assess consistency results. Results Based on substantial genetic data obtained from genome-wide association studies (GWAS) comprising 3,504,473 European participants, our study offers several microbial taxa, 14 probable taxa (specifically, 5, 3, 2, 3 1 for COPD, IPF, pneumoconiosis, respectively) 33 possible 6, 7, 8, 7 5 play significant roles formation CRDs. Discussion This work implies relationships thereby shedding new light microbiota-mediated prevention

Язык: Английский

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Association between Liver MRI Proton Density Fat Fraction and Liver Disease Risk

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

Опубликована: Окт. 1, 2023

Background A better understanding of the association between liver MRI proton density fat fraction (PDFF) and diseases might support clinical implementation PDFF. Purpose To quantify genetically predicted causal effect PDFF on disease risk. Materials Methods This population-based prospective observational study used summary-level data mainly from UK Biobank FinnGen. Mendelian randomization analysis was conducted using inverse variance–weighted method to explore risk with Bonferroni correction. The individual-level were downloaded August December 2020 Biobank. Logistic regression performed validate polygenic score Mediation analyses multivariable mendelian randomization. Results Summary-level obtained 32 858 participants 378 436 (mean age, 57 years ± 8 [SD]; 203 108 female participants), respectively. Genetically high associated increased risks malignant neoplasm (odds ratio [OR], 4.5; P < .001), alcoholic (OR, 1.9; fibrosis cirrhosis 3.0; .004), 3.6; = .002), 3.8; nonalcoholic steatohepatitis 7.7; fatty (NAFLD) 4.4; .001). Individual-level evidence supported these associations after grouping based (all .004). mediation indicated that high-density lipoprotein cholesterol, type 2 diabetes mellitus, waist-to-hip (mediation effects, 25.1%–46.3%) related occurrence liver, NAFLD at .05). Conclusion provided health. © RSNA, 2023 Supplemental material is available for this article. See also editorials by Reeder Starekova Monsell in issue. An earlier incorrect version appeared online. article corrected October 31, 2023.

Язык: Английский

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Extrahepatic malignancies in metabolic dysfunction‐associated fatty liver disease: A nationwide cohort study

Liver International, Год журнала: 2024, Номер 44(3), С. 799 - 810

Опубликована: Янв. 17, 2024

Abstract Background and Aims Metabolic dysfunction‐associated fatty liver disease (MAFLD) encompasses heterogeneous diseases associated with metabolic disorders. We aimed to evaluate the association between MAFLD extrahepatic malignancies based on subtypes. Methods This nationwide cohort study included 9 298 497 patients who participated in a health‐screening programme of National Health Insurance Service Korea 2009. Patients were further classified into four subgroups: non‐MAFLD, diabetes mellitus (DM)‐MAFLD, overweight/obese‐MAFLD lean‐MAFLD. The primary outcome was development any malignancy, while death, decompensated cirrhosis transplantation considered competing events. secondary outcomes all‐cause malignancy‐related mortality. Results In total, 2 500 080 diagnosed MAFLD. During median follow‐up 10.3 years, 447 880 (6.0%) identified. DM‐MAFLD (adjusted subdistribution hazard ratio [aSHR] = 1.13; 95% confidence interval [CI] 1.11–1.14; p < .001) lean‐MAFLD (aSHR 1.12; CI 1.10–1.14; groups higher risks malignancy than non‐MAFLD group. However, group exhibited similar risk compared 1.00; .99–1.00; .42). These findings reproduced several sensitivity analyses. an independent factor for mortality [aHR] 1.41; 1.40–1.43; (aHR 1.20; 1.17–1.23; .001). Conclusion diabetic or lean subtype non‐MAFLD. As comprises population, appropriate stratification management subtypes are required.

Язык: Английский

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Identifying OGN as a Biomarker Covering Multiple Pathogenic Pathways for Diagnosing Heart Failure: From Machine Learning to Mechanism Interpretation

Biomolecules, Год журнала: 2024, Номер 14(2), С. 179 - 179

Опубликована: Фев. 2, 2024

Background: The pathophysiologic heterogeneity of heart failure (HF) necessitates a more detailed identification diagnostic biomarkers that can reflect its diverse pathogenic pathways. Methods: We conducted weighted gene and multiscale embedded co-expression network analysis on differentially expressed genes obtained from HF non-HF specimens. employed machine learning integration framework protein–protein interaction to identify biomarkers. Additionally, we integrated set variation analysis, enrichment (GSEA), transcription factor (TF)-target unravel the biomarker-dominant Leveraging single-sample GSEA molecular docking, predicted immune cells therapeutic drugs related Quantitative polymerase chain reaction validated expressions in plasma patients. A two-sample Mendelian randomization was implemented investigate causal impact HF. Results: first identified COL14A1, OGN, MFAP4, SFRP4 as candidate with robust performance. revealed regulating pathogenesis involves TFs (BNC2, MEOX2) pathways (cell adhesion molecules, chemokine signaling pathway, cytokine–cytokine receptor interaction, oxidative phosphorylation). Moreover, observed elevated infiltration effector memory CD4+ T HF, which highly could Captopril, aldosterone antagonist, cyclopenthiazide, estradiol, tolazoline, genistein were alleviating via interactions In vitro study confirmed up-regulation OGN biomarker suggested genetic predisposition toward higher promoted risk Conclusions: propose for may advance our understanding diagnosis

Язык: Английский

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Associations between type 1 diabetes and pulmonary tuberculosis: a bidirectional mendelian randomization study

Diabetology & Metabolic Syndrome, Год журнала: 2024, Номер 16(1)

Опубликована: Март 5, 2024

Abstract Background Type 1 diabetes mellitus (T1DM) has been associated with higher pulmonary tuberculosis (PTB) risk in observational studies. However, the causal relationship between them remains unclear. This study aimed to assess effect T1DM and PTB using bidirectional Mendelian randomization (MR) analysis. Methods Single nucleotide polymorphisms (SNPs) of were extracted from public genetic variation summary database. In addition, GWAS data collected explore relevant clinical traits T1DM, including glycemic traits, lipids, obesity. The inverse variance weighting method (IVW), weighted median method, MR‒Egger regression used evaluate relationship. To ensure stability results, sensitivity analyses robustness results by estimating heterogeneity pleiotropy. Results IVW showed that increased (OR = 1.07, 95% CI: 1.03–1.12, P < 0.001), which was similar analyses. Moreover, we found high-density lipoprotein cholesterol (HDL-C; OR 1.28, 1.03–1.59, 0.026) PTB. There no evidence an remaining lipid markers, or obesity on reverse MR analysis, relationships detected for its traits. Conclusion supported HDL-C factors implies effective role treating managing reducing PTB, provides essential basis prevention comanagement concurrent practice.

Язык: Английский

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