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In Vivo Exposure Pathways of Ambient Magnetite Nanoparticles Revealed by Machine Learning-Aided Single-Particle Mass Spectrometry.
Zhang, Weican; Huo, Shiwei; Deng, Shenxi; Min, Ke; Huang, Cha; Yang, Hang; Liu, Lin; Zhang, Luyao; Zuo, Peijie; Liu, Lihong; Liu, Qian; Jiang, Guibin.
Afiliação
  • Zhang W; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Huo S; University of Chinese Academy of Sciences, Beijing 100190, China.
  • Deng S; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Min K; University of Chinese Academy of Sciences, Beijing 100190, China.
  • Huang C; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Yang H; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Liu L; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Zhang L; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Zuo P; University of Chinese Academy of Sciences, Beijing 100190, China.
  • Liu L; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Liu Q; University of Chinese Academy of Sciences, Beijing 100190, China.
  • Jiang G; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Nano Lett ; 24(31): 9535-9543, 2024 Aug 07.
Article em En | MEDLINE | ID: mdl-38954740
ABSTRACT
Nanosized ultrafine particles (UFPs) from natural and anthropogenic sources are widespread and pose serious health risks when inhaled by humans. However, tracing the inhaled UFPs in vivo is extremely difficult, and the distribution, translocation, and metabolism of UFPs remain unclear. Here, we report a label-free, machine learning-aided single-particle inductively coupled plasma mass spectrometry (spICP-MS) approach for tracing the exposure pathways of airborne magnetite nanoparticles (MNPs), including external emission sources, and distribution and translocation in vivo using a mouse model. Our results provide quantitative analysis of different metabolic pathways in mice exposed to MNPs, revealing that the spleen serves as the primary site for MNP metabolism (84.4%), followed by the liver (11.4%). The translocation of inhaled UFPs across different organs alters their particle size. This work provides novel insights into the in vivo fate of UFPs as well as a versatile and powerful platform for nanotoxicology and risk assessment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tamanho da Partícula / Espectrometria de Massas / Nanopartículas de Magnetita / Aprendizado de Máquina / Fígado Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tamanho da Partícula / Espectrometria de Massas / Nanopartículas de Magnetita / Aprendizado de Máquina / Fígado Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article