Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different Morphologies Article Swipe
Verónica I. Dumit
,
Yuk‐Chien Liu
,
Aileen Bahl
,
Pekka Kohonen
,
Roland C. Grafström
,
Penny Nymark
,
Christine Müller‐Graf
,
Andrea Haase
,
Mario Pink
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202306268
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/advs.202306268
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.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/advs.202306268
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202306268
- OA Status
- gold
- Cited By
- 9
- References
- 47
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4390001133Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/advs.202306268Digital Object Identifier
- Title
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Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different MorphologiesWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-20Full publication date if available
- Authors
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Verónica I. Dumit, Yuk‐Chien Liu, Aileen Bahl, Pekka Kohonen, Roland C. Grafström, Penny Nymark, Christine Müller‐Graf, Andrea Haase, Mario PinkList of authors in order
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https://doi.org/10.1002/advs.202306268Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202306268Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/advs.202306268Direct OA link when available
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Nanofiber, Materials science, Nanotechnology, Rigidity (electromagnetism), Morphology (biology), Composite material, Biology, GeneticsTop concepts (fields/topics) attached by OpenAlex
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9Total citation count in OpenAlex
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2025: 3, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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