Diesel exhaust particles (DEPs) are known pathogenic pollutants that constitute a significant quantity of air pollution. Given the ubiquitous presence of macrophages throughout the body, including the lungs, as well as their critical role in tissue and organismal metabolic function, we sought to determine the effect of DEP exposure on macrophage mitochondrial function. Following daily DEP exposure in mice, pulmonary macrophages were isolated for mitochondrial analyses, revealing reduced respiration rates and dramatically elevated HO levels. Serum ceramides and inflammatory cytokines were increased. To determine the degree to which the changes in mitochondrial function in macrophages were not dependent on any cross-cell communication, primary pulmonary murine macrophages were used to replicate the DEP exposure in a cell culture model. We observed similar changes as seen in pulmonary macrophages, namely diminished mitochondrial respiration, but increased HO production. Interestingly, when treated with myriocin to inhibit ceramide biosynthesis, these DEP-induced mitochondrial changes were mitigated. Altogether, these data suggest that DEP exposure may compromise macrophage mitochondrial and whole-body function via pathologic alterations in macrophage ceramide metabolism.
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http://dx.doi.org/10.3390/ijms20225598 | DOI Listing |
J Psychosom Res
December 2024
Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 Xin Jian South Road Street, Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, Shanxi, China. Electronic address:
Objective: Our primary objective is to investigate the causal relationships between 12 psychiatric disorders (PDs) and atrial fibrillation (AF), coronary artery disease (CAD), myocardial infarction (MI), and heart failure (HF).
Methods: Firstly, we used linkage disequilibrium score regression to calculate the genetic correlations between 12 PDs and 4 cardiovascular diseases (CVDs). Subsequently, we performed two-sample and bidirectional Mendelian randomization (MR) analyses of phenotypes with significant genetic correlations to explore the causal relationships between PDs and CVDs.
Part Fibre Toxicol
December 2024
Division of Cardiology, David Geffen School of Medicine, University of California-Los Angeles, 10833 Le Conte Avenue, CHS 43-264, P.O. Box 951679, Los Angeles, CA, 90095, USA.
Background: Exposure to air pollution is associated with worldwide morbidity and mortality. Diesel exhaust (DE) emissions are important contributors which induce vascular inflammation and metabolic disturbances by unknown mechanisms. We aimed to determine molecular pathways activated by DE in the liver that could be responsible for its cardiometabolic toxicity.
View Article and Find Full Text PDFBMJ Open
December 2024
Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden
Objectives: The objectives of the study are to investigate infection risk in offspring born to women with systemic lupus erythematosus (SLE) compared with offspring born to women without SLE and examine the mediating role of preterm birth.
Design: This is a register-based cohort study.
Setting: Liveborn singletons born in Sweden, 2006-2021, were included in the study.
Ecotoxicol Environ Saf
December 2024
Institute of Traditional Medicine and Bioscience, Daejeon University, Daejeon 34520, Republic of Korea. Electronic address:
Particulate matter (PM, diameter < 10 μm) and Diesel exhaust particles (DEP) exposure can cause severe respiratory disorders. This investigation explored the protective effects of Reliea® (RelA), combination of Codonopsis lanceolata and Chaenomeles sinensis extract, against airway inflammation related to PMD exposure. RelA treatment suppressed reactive oxygen species, nitric oxide release, cytokine expression (IL-6, IL-1β, iNOS, CXCL-2, MCP-1, and TNF-α), and the related inflammatory mechanisms in PM-induced alveolar macrophage cells.
View Article and Find Full Text PDFSci Rep
November 2024
School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, 454003, China.
Low-light image enhancement aims to enhance the visibility and contrast of low-light images while eliminating complex degradation issues such as noise, artifacts, and color distortions. Most existing low-light image enhancement methods either focus on quality while neglecting computational efficiency or have limited learning and generalization capabilities. To address these issues, we propose a Bilateral Enhancement Network with signal-to-noise ratio fusion, called BiEnNet, for lightweight and generalizable low-light image enhancement.
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