Evidence map›Paper›PMID 42123356›Full record

ArticleInternational journal of molecular sciences2026

Force Spectroscopy by Atomic Force Microscopy as Indicator for Cellular Microplastic Uptake.

Tatjana Kolesnik, Kristin Öhlinger, Markus Absenger-Novak, Eleonore Fröhlich

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tatjana KolesnikCenter for Medical Research, Medical University of Graz, 8010 Graz, Austria.ORCID 0009-0005-4214-4285
Kristin ÖhlingerCenter for Medical Research, Medical University of Graz, 8010 Graz, Austria.
Markus Absenger-NovakCenter for Medical Research, Medical University of Graz, 8010 Graz, Austria.
Eleonore FröhlichCenter for Medical Research, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0002-6056-6829

Funding

MEFO not applicable
6 · The paper itself

Abstract

Concentrations of microplastic particles (MPs) in the environment are low, and cellular uptake is difficult to measure. Cancer tissue accumulates more MPs than normal tissue. This study aims to determine whether cellular stiffness measurements by atomic force microscopy could indicate whether cells ingested MPs. In this study, spheroids with different compositions were exposed to MPs, and Young's moduli were compared to fluorescent readings of MP uptake in monolayer cultures. The tested cancer cell lines differed in their basal Young's modulus and in the increases observed upon MP exposure, both in monolayer and spheroid culture. Young's moduli of the THP-1-containing spheroids were higher than those of spheroids without macrophages and were higher after MP exposure than before. In monolayer culture, softer cells showed larger increases in Young's modulus after MP exposure than did stiffer cells. The Young's moduli of the cell monolayers under static and dynamic conditions were positively correlated. Young's modulus could serve as a parameter for MP uptake and can differentiate MP-containing spheroids from non-exposed spheroids. In monolayer culture, Young's modulus can identify cell lines that ingested MPs. However, complicated use and low throughput limit the broad application of atomic force microscopy in biological evaluation.

Indexed as

MicroplasticsMicroscopy, Atomic ForceCell Line, TumorElastic ModulusHumansMacrophagesSpheroids, CellularTHP-1 CellsMicroplasticscell stiffnessdynamic exposurelung cancerpolystyrene particlesspheroids

Identifiers

PMID42123356
PMCPMC13164443

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Registered trials

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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.