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Background & Aims: Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), though the underlying mechanisms of this association are unknown. Herein, we aimed to identify metabolic signatures associated with exposure to ambient air pollution and to explore their associations with the risk of MASLD.
Methods: We utilized data from the UK Biobank cohort. Annual mean concentrations of PM, PM, NO and NO were assessed for each participant using bilinear interpolation. The elastic net regression model was used to identify metabolites associated with four air pollutants and to construct metabolic signatures. Associations between air pollutants, metabolic signatures and MASLD were analyzed using Cox models. Mendelian randomization (MR) analysis was used to examine potential causality. Mediation analysis was employed to examine the role of metabolic signatures in the association between air pollutants and MASLD.
Results: A total of 244,842 participants from the UK Biobank were included in this analysis. We identified 87, 65, 76, and 71 metabolites as metabolic signatures of PM, PM, NO, and NO, respectively. Metabolic signatures were associated with risk of MASLD, with hazard ratios (HRs) and 95% CIs of 1.10 (1.06-1.14), 1.06 (1.02-1.10), 1.24 (1.20-1.29) and 1.14 (1.10-1.19), respectively. The four pollutants were associated with increased risk of MASLD, with HRs (95% CIs) of 1.03 (1.01-1.05), 1.02 (1.01-1.04), 1.01 (1.01-1.02) and 1.01 (1.00-1.01), respectively. MR analysis indicated an association between PM, NO and NO-related metabolic signatures and MASLD. Metabolic signatures mediated the association of PM, PM, NO and NO with MASLD.
Conclusion: PM, PM, NO and NO-related metabolic signatures appear to be associated with MASLD. These signatures mediated the increased risk of MASLD associated with PM, PM, NO and NO.
Impact And Implications: Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), however, the mechanism by which air pollution affects MASLD remains unclear. Our study used integrated serological metabolic data of 251 metabolites from a large-scale cohort study to demonstrate that metabolic signatures play a crucial role in the elevated risk of MASLD caused by air pollution. These results are relevant to patients and policymakers because they suggest that air pollution-related metabolic signatures are not only potentially associated with MASLD but also involved in mediating the process by which PM, PM, NO, and NO increase the risk of MASLD. Focusing on changes in air pollution-related metabolic signatures may offer a new perspective for preventing air pollution-induced MASLD and serve as protective measures to address this emerging public health challenge.
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http://dx.doi.org/10.1016/j.jhep.2024.09.033 | DOI Listing |
Funct Integr Genomics
September 2025
Department of Plastic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods.
View Article and Find Full Text PDFBiomed Environ Sci
August 2025
Gastrointestinal Disease Centre, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei, China.
Objective: To explore the correlation between chromosome 8 open reading frame 76 (C8orf76) and cyclin-dependent kinase 4 (CDK4) and the potential predictive effect of C8orf76 and CDK4 on the prognosis of colorectal cancer (CRC).
Methods: We constructed a protein-protein interaction network of C8orf76-related genes and analyzed the prognostic signatures of C8orf76 and CDK4. Clinicopathological features of C8orf76 and CDK4 were visualized using a nomogram.
Elife
September 2025
Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, United States.
The microglial surface protein Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) plays a critical role in mediating brain homeostasis and inflammatory responses in Alzheimer's disease (AD). The soluble form of TREM2 (sTREM2) exhibits neuroprotective effects in AD, though the underlying mechanisms remain elusive. Moreover, differences in ligand binding between TREM2 and sTREM2, which have major implications for their roles in AD pathology, remain unexplained.
View Article and Find Full Text PDFArthritis Rheumatol
August 2025
Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Objective: To evaluate dynamic changes in autoantibody and proteomic profiles in treatment-naïve systemic sclerosis (SSc) patients and identify biomarkers and mechanisms associated with disease progression.
Methods: Serum samples from 30 baseline and 49 follow-up SSc patients, along with 38 controls, were analyzed. Autoantibody profiles were assessed using an autoantigen microarray targeting 120 autoantibodies, while proteomic analysis was conducted via liquid chromatography-mass spectrometry in data-independent acquisition mode.
Int J Gen Med
September 2025
Department of Geriatrics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Background: Sepsis is characterized by profound immune and metabolic perturbations, with glycolysis serving as a pivotal modulator of immune responses. However, the molecular mechanisms linking glycolytic reprogramming to immune dysfunction remain poorly defined.
Methods: Transcriptomic profiles of sepsis were obtained from the Gene Expression Omnibus.