Evidence map›Paper›PMID 38073860›Full record

ArticleEnvironmental science. Nano2023

Development of single-cell ICP-TOFMS to measure nanoplastics association with human cells.

Lyndsey Hendriks, Vera M Kissling, Tina Buerki-Thurnherr, Denise M Mitrano

Abstract read
In one paragraph

Article in Environmental science. Nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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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

4 authors.

Lyndsey HendriksTOFWERK AG Schorenstrasse 39 3645 Thun Switzerland.ORCID https://orcid.org/0009-0002-0189-5435
Vera M KisslingLaboratory for Particles Biology Interactions, Swiss Federal Laboratories for Materials Science and Technology (Empa) Lerchenfeldstrasse 5 CH-9014 St. Gallen Switzerland.ORCID https://orcid.org/0000-0002-4524-9905
Tina Buerki-ThurnherrLaboratory for Particles Biology Interactions, Swiss Federal Laboratories for Materials Science and Technology (Empa) Lerchenfeldstrasse 5 CH-9014 St. Gallen Switzerland.ORCID https://orcid.org/0000-0003-3723-6562
Denise M MitranoDepartment of Environmental Systems Science, ETH Zurich Universitätstrasse 16 8092 Zurich Switzerland denise.mitrano@usys.ethz.ch.ORCID https://orcid.org/0000-0001-8030-6066

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoplastics, solid polymer particles smaller than 1 μm, are suspected to be widely present in the environment, food and air, and may pose a potential threat to human health. Detecting nanoplastics in and associated with individual cells is crucial to understand their mechanisms of toxicity and potential harm. In this context, we developed a single-cell inductively coupled plasma time-of-flight mass spectrometry (sc-ICP-TOFMS) method for the sensitive and rapid quantification of metal-doped model nanoplastics in human cells. By providing multi-elemental fingerprints of both the nanoplastics and the cells, this approach can be advantageous in laboratory toxicological studies as it allows for the simultaneous acquisition of a full mass spectrum with high time resolution. As a proof-of-concept study, we exposed two different human cell lines relevant to inhalation exposures (A549 alveolar epithelial cells and THP-1 monocytes) to Pd-doped nanoplastics. The sc-ICP-TOFMS analysis revealed a similar dose-dependent endocytotic capacity of THP-1 and A549 cells for nanoplastics uptake, and particle internalization was confirmed by transmission electron microscopy. Moreover, single-cell quantification showed that a considerable proportion of the exposed cells (72% of THP-1; 67% of A549) did not associate with any nanoplastics after exposure to 50 μg L

Identifiers

PMID38073860
PMCPMC10702630

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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.