Evidence map›Paper›PMID 38116877›Full record

SynthesisAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

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

Verónica I Dumit, Yuk-Chien Liu, Aileen Bahl, Pekka Kohonen, Roland C Grafström, Penny Nymark, Christine Müller-Graf, Andrea Haase, Mario Pink

Abstract readMeta-Analysis
In one paragraph

Synthesis in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Verónica I DumitGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Yuk-Chien LiuGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Aileen BahlGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Pekka KohonenInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden.
Roland C GrafströmInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden.
Penny NymarkInstitute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Stockholm, 17177, Sweden.
Christine Müller-GrafGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Andrea HaaseGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.
Mario PinkGerman Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Max-Dohrn-Str. 8-10, 10589, Berlin, Germany.ORCID 0000-0002-5148-5138

Funding

BfR project 1322-777EU H2020 project NanoInformaTIX 814426Horizon 2020 953183
6 · The paper itself

Abstract

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.

Indexed as

AsbestosCarbonGene Expression ProfilingProteomicsStructure-Activity RelationshipAsbestosCarbonbioinformatics in nanosafetycarbon nanomaterialsfiber toxicity assessmentintegrative omics meta-analysisnanofiber rigidity predictionstructure-activity-relationship (SAR)

Identifiers

PMID38116877
PMCPMC10916575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.