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Most fine ambient particulate matter (PM)-based epidemiological models use globalized concentration-response (CR) functions assuming that the toxicity of PM is solely mass-dependent without considering its chemical composition. Although oxidative potential (OP) has emerged as an alternate metric of PM toxicity, the association between PM mass and OP on a large spatial extent has not been investigated. In this study, we evaluate this relationship using 385 PM samples collected from 14 different sites across 4 different continents and using 5 different OP (and cytotoxicity) endpoints. Our results show that the relationship between PM mass vs. OP (and cytotoxicity) is largely non-linear due to significant differences in the intrinsic toxicity, resulting from a spatially heterogeneous chemical composition of PM. These results emphasize the need to develop localized CR functions incorporating other measures of PM properties (e.g., OP) to better predict the PM-attributed health burdens.
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http://dx.doi.org/10.1038/s41467-024-49649-4 | DOI Listing |
Neuro Endocrinol Lett
September 2025
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China.
Background: Major depressive disorder (MDD) is associated with neuro-immune - metabolic - oxidative (NIMETOX) pathways.
Aims: To examine the connections among NIMETOX pathways in outpatient MDD (OMDD) with and without metabolic syndrome (MetS); and to determine the prevalence of NIMETOX aberrations in a cohort of OMDD patients.
Methods: We included 67 healthy controls and 66 OMDD patients and we assessed various NIMETOX pathways.
Langmuir
September 2025
Laboratory of Electrochemistry-Corrosion, Metallurgy and Inorganic Chemistry, Faculty of Chemistry, USTHB, BP 32, 16111, Algiers, Algeria.
Azo dyes, prevalent in various industries, including textile dyeing, food, and cosmetics, pose significant environmental and health risks due to their chemical stability and toxicity. This study introduces the synthesis and application of a copper hydrogen-π-bonded benzoate framework (Cu-HBF) and its derived marigold flower-like copper oxide (MFL-CuO) in a synergetic adsorption-photocatalytic process for efficiently removing cationic azo dyes from water, specifically crystal violet (CV), methylene blue (MB), and rhodamine B (RhB). The Cu-HBF, previously available only in single crystal form, is prepared here as a crystalline powder for the first time, using a low-cost and facile procedure, allowing its application as an adsorbent and also serving as a precursor for synthesizing well-structured copper oxide (MFL-CuO).
View Article and Find Full Text PDFSci Adv
September 2025
Department of Earth System Science, University of California, Irvine, CA 92697, USA.
Over the past three decades, assessments of the contemporary global carbon budget consistently report a strong net land carbon sink. Here, we review evidence supporting this paradigm and quantify the differences in global and Northern Hemisphere estimates of the net land sink derived from atmospheric inversion and satellite-derived vegetation biomass time series. Our analysis, combined with additional synthesis, supports a hypothesis that the net land sink is substantially weaker than commonly reported.
View Article and Find Full Text PDFExp Physiol
September 2025
Department of Hepatobiliary Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, China.
Hepatic ischaemia-reperfusion (IR) injury is a serious clinical issue, especially in patients with type 2 diabetes mellitus (T2DM). As mitochondria play a critical role in the regulation of IR-induced liver damage, mitochondria-targeted treatment is of the utmost significance for improving outcomes. The present study explored the mitoprotective role of combined ginsenoside-MC1 (GMC1) and irisin administration in diabetic rats with hepatic IR injury.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Institute of multidisciplinary research for advanced materials, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi 980-8577, Japan.
High-entropy oxides (HEOs) are attracting significant attention owing to their compositional tunability and structural robustness. However, the identification of specific compositional combinations that yield a single-phase structure in HEOs remains unclear owing to the immense combinatorial complexity inherent in multielement systems. This study adopts a materials informatics approach that integrates experimental synthesis data with machine learning to identify key compositional factors enabling single-phase HEO formation via solid-state synthesis.
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