Evidence map›Paper›PMID 40597321›Full record

ArticleJournal of biological engineering2025

New approach methodologies for in vitro toxicity screening of nanomaterial using a pulmonary three-dimensional floating extracellular matrix model.

Soojin Kim, Mi-Sun Choi, Hyun Jegal, Min Beom Heo, Minjeong Kwak, Hyun Kyong Shon, Seungwoo Song, Tae Geol Lee, Ji-Ho Park, Dong Woo Lee and 2 more

Abstract read
In one paragraph

Article in Journal of biological engineering, 2025. 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

12 authors.

Soojin KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Mi-Sun ChoiCenter for Predictive Model Research, Korea Institute of Toxicology (KIT), Daejeon, 34114, Republic of Korea.
Hyun JegalCenter for Predictive Model Research, Korea Institute of Toxicology (KIT), Daejeon, 34114, Republic of Korea.
Min Beom HeoDivision of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
Minjeong KwakDivision of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
Hyun Kyong ShonDivision of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
Seungwoo SongStrategic Technology Research Institute, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
Tae Geol LeeDivision of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), 267 Gajeong-ro, Yuseong-gu, Daejeon, 34114, Republic of Korea.
Ji-Ho ParkDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. jihopark@kaist.ac.kr.
Dong Woo LeeDepartment of Biomedical Engineering, Gachon University, Seongnam-si, 13306, Republic of Korea. dw2010.lee@gmail.com.
Seokjoo YoonCenter for Predictive Model Research, Korea Institute of Toxicology (KIT), Daejeon, 34114, Republic of Korea. sjyoon@kitox.re.kr.
Jung-Hwa OhCenter for Predictive Model Research, Korea Institute of Toxicology (KIT), Daejeon, 34114, Republic of Korea. jhoh@kitox.re.kr.

Funding

Korea Institute of Toxicology 2710008763Ministry of Science and ICT, South Korea RS-2018-NR056535Ministry of Science and ICT, South Korea RS-2024-00452934Rural Development Administration RS-2024-00400007
6 · The paper itself

Abstract

backgroundNanomaterials offer increasing applications across diverse sectors, including food science, medicine, and electronics. Environmental risk assessment is crucial for ensuring the safety and sustainability of nanomaterials. However, high-throughput screening (HTS) of their potential toxicity remains challenging owing to their unique physicochemical properties.

resultsThis study introduces a novel pulmonary three-dimensional (3D) floating extracellular matrix (ECM) model utilizing a 384-pillar/well platform for HTS of nanotoxicity. Compared with conventional HTS models based on two-dimensional (2D) cells, the 3D model developed in this study successfully addressed the issues related to the aggregation and sedimentation of nanoparticles and their possible optical interference with the toxicity assays. Using 20 nm silica nanoparticles (SiNPs), we assessed cell viability and nanoparticle uptake in both serum-containing and serum-free culture media. While the 2D model showed high SiNPs toxicity regardless of the media composition, the pulmonary 3D floating ECM model demonstrated variable toxicities that depended on the SiNPs behaviors under different conditions.

conclusionsBy reducing the uncertainties associated with the sedimentation and optical interference of nanomaterials, our 3D model provided a more precise analysis of cytotoxicity. This study highlights the potential of using new approach methodologies and improved HTS approaches to enhance the efficiency and accuracy of risk assessment protocols for emerging nanomaterials.

Indexed as

Extracellular matrixHigh-throughput screeningin vitro cytotoxicityNew approach methodologiesSilica nanoparticlesThree-dimensional cell

Identifiers

PMID40597321
PMCPMC12220522

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LicenceCC BY-NC-ND
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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.