Meta-Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure-Activity Relationship of Carbon Materials with Different Morphologies

被引:4
|
作者
Dumit, Veronica I. [1 ]
Liu, Yuk-Chien [1 ]
Bahl, Aileen [1 ]
Kohonen, Pekka [2 ]
Grafstrom, Roland C. [2 ]
Nymark, Penny [2 ]
Mueller-Graf, Christine [1 ]
Haase, Andrea [1 ]
Pink, Mario [1 ]
机构
[1] German Fed Inst Risk Assessment BfR, Dept Chem & Prod Safety, Max Dohrn Str 8-10, D-10589 Berlin, Germany
[2] Karolinska Inst, Inst Environm Med, Nobels Vag 13, S-17177 Stockholm, Sweden
基金
欧盟地平线“2020”;
关键词
bioinformatics in nanosafety; carbon nanomaterials; fiber toxicity assessment; integrative omics meta-analysis; nanofiber rigidity prediction; structure-activity-relationship (SAR); PLEURAL INFLAMMATION; NANOTUBES; ASBESTOS; FIBERS; CARCINOGENICITY; RATS; MECHANISMS; EXPRESSION; TOXICITY;
D O I
10.1002/advs.202306268
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The Fiber Pathogenicity Paradigm (FPP) establishes connections between fiber structure, durability, and disease-causing potential observed in materials like asbestos and synthetic fibers. While emerging nanofibers are anticipated to exhibit pathogenic traits according to the FPP, their nanoscale diameter limits rigidity, leading to tangling and loss of fiber characteristics. The absence of validated rigidity measurement methods complicates nanofiber toxicity assessment. By comprehensively analyzing 89 transcriptomics and 37 proteomics studies, this study aims to enhance carbon material toxicity understanding and proposes an alternative strategy to assess morphology-driven toxicity. Carbon materials are categorized as non-fibrous, high aspect ratio with shorter lengths, tangled, and rigid fibers. Mitsui-7 serves as a benchmark for pathogenic fibers. The meta-analysis reveals distinct cellular changes for each category, effectively distinguishing rigid fibers from other carbon materials. Subsequently, a robust random forest model is developed to predict morphology, unveiling the pathogenicity of previously deemed non-pathogenic NM-400 due to its secondary structures. This study fills a crucial gap in nanosafety by linking toxicological effects to material morphology, in particular regarding fibers. It demonstrates the significant impact of morphology on toxicological behavior and the necessity of integrating morphological considerations into regulatory frameworks. Emerging nanofibers, akin to asbestos, hold potential risks, yet their small size impedes rigidity, challenging toxicity evaluation. This meta-analysis of omics studies discerns varying effects among non-fibrous, short/high-ratio, tangled, and rigid carbon fibers, shedding light on toxicity mechanisms and linking fiber-like harm to material structures. Surprisingly, previously deemed safe NM-400 exhibits danger due to its distinctive structure.image
引用
收藏
页数:12
相关论文
共 21 条
  • [1] Structure-activity relationship of graphene-related materials: A meta-analysis based on mammalian in vitro toxicity data
    Romeo, Daina
    Louka, Chrysovalanto
    Gudino, Berenice
    Wigstrom, Joakim
    Wick, Peter
    NANOIMPACT, 2022, 28
  • [2] Effect of hydrophobic monomers with different carbon chains on the structure-activity relationship of associating polyacrylamides
    Yang, Rong
    Lai, Xiaojuan
    Li, Qiying
    Ding, Xi
    Wang, Lei
    Wen, Xin
    Guo, Yan
    JOURNAL OF POLYMER RESEARCH, 2024, 31 (08)
  • [3] MnOx catalysts with different morphologies for low temperature synergistic removal of NOx and toluene: Structure-activity relationship and mutual inhibitory effects
    Jia, Xuehui
    Yu, Chenglong
    Fang, Hansun
    Hou, Dan
    Wang, Jinliang
    Zhang, Yong
    Zhu, Fangxu
    Xiong, Jiangbo
    Dan, Junhui
    He, Dan
    JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2022, 10 (06):
  • [4] Introducing the LASSO Graph for Compound Data Set Representation and Structure-Activity Relationship Analysis
    Gupta-Ostermann, Disha
    Hu, Ye
    Bajorath, Juergen
    JOURNAL OF MEDICINAL CHEMISTRY, 2012, 55 (11) : 5546 - 5553
  • [5] Descriptors Divide-and-Conquer Enables Multifaceted and Interpretable Materials Structure-Activity Relationship Analysis
    Liu, Yue
    Wu, Linhan
    Yang, Zhengwei
    Zou, Xinxin
    Zou, Zheyi
    Lin, Yuxiao
    Avdeev, Maxim
    Shi, Siqi
    ADVANCED FUNCTIONAL MATERIALS, 2025,
  • [6] Structure-Activity Relationship Analysis of the Thermal Stabilities of Nitroaromatic Compounds Following Different Decomposition Mechanisms
    Li, Jiazhong
    Liu, Huanxiang
    Huo, Xing
    Gramatica, Paola
    MOLECULAR INFORMATICS, 2013, 32 (02) : 193 - 202
  • [7] Kinetic analysis of interactions of different sarin and tabun analogues with human acetylcholinesterase and oximes: Is there a structure-activity relationship?
    Aurbek, Nadine
    Herkert, Nadja M.
    Koller, Marianne
    Thiermann, Horst
    Worek, Franz
    CHEMICO-BIOLOGICAL INTERACTIONS, 2010, 187 (1-3) : 215 - 219
  • [8] Structure-activity relationship analysis of meta-substituted N-cyclopropylmethyl-nornepenthones with mixed KOR/MOR activities
    Tang, Siyuan
    Hu, Shuyang
    Feng, Lijing
    Kong, Linghui
    Gui, Jiangwen
    Zhang, Ying
    Liu, Zi-han
    Zhang, Denggao
    Liu, An-An
    Liu, Xiao
    Hu, Chuyuan
    Lan, Yingjie
    Liu, Xiaoning
    Li, Zixiang
    Liu, Panwen
    Duan, Shaoliang
    Du, Zeyi
    Liu, Min
    Xie, Qiong
    Liu, Jinggen
    Shao, Liming
    Fu, Wei
    Wang, Yujun
    Li, Wei
    EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2025, 289
  • [9] Improved structure-activity relationship analysis of HIV-1 protease inhibitors using interaction kinetic data
    Shuman, CF
    Vrang, L
    Danielson, UH
    JOURNAL OF MEDICINAL CHEMISTRY, 2004, 47 (24) : 5953 - 5961
  • [10] Analysis of the quantitative structure-activity relationship of glutathione-derived peptides based on different free radical scavenging systems
    Liao, Wenzhen
    Gu, Longjian
    Zheng, Yamei
    Zhu, Zisheng
    Zhao, Mouming
    Liang, Ming
    Ren, Jiaoyan
    MEDCHEMCOMM, 2016, 7 (11) : 2083 - 2093