Evidence map›Paper›PMID 40837682›Full record

ArticleEnvironment & health (Washington, D.C.)2025

Nanoplastics Toxicity Is a Subset of Nanotoxicology, Not a Separate Field.

Xiliang Yan, Hanle Chen, Chen Jia, Jing Zhang, Miao Huang, Shenqing Wang, Xing Guo, Tongtao Yue, Lingxin Chen, Qunfang Zhou and 4 more

Abstract read
In one paragraph

Article in Environment & health (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Spotlight Nanotoxicology: The Root of Toxicity of Nanoplastics.Environment & health (Washington, D.C.) · 2025
    Article
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

14 authors.

Xiliang YanInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Hanle ChenInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Chen JiaInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Jing ZhangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Miao HuangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Shenqing WangInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.
Xing GuoKey Laboratory of Marine Environment and Ecology, Ministry of Education, Institute of Coastal Environmental Pollution Control, Ocean University of China, Qingdao 266100, China.
Tongtao YueKey Laboratory of Marine Environment and Ecology, Ministry of Education, Institute of Coastal Environmental Pollution Control, Ocean University of China, Qingdao 266100, China.ORCID https://orcid.org/0000-0002-8329-167X
Lingxin ChenCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.ORCID https://orcid.org/0000-0002-3764-3515
Qunfang ZhouState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0003-2521-100X
Guangbo QuState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0002-5220-7009
Hao ZhuTulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID https://orcid.org/0000-0002-3559-6129
Guibin JiangState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.ORCID https://orcid.org/0000-0002-6335-3917
Bing YanInstitute of Environmental Research at the Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China.ORCID https://orcid.org/0000-0002-7970-6764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoplastics toxicity has been framed as an emerging, distinct research area, purportedly addressing a new threat. While this focus has heightened public awareness and influenced the regulation of plastics, isolating nanoplastics toxicity risks inefficiently allocating research resources and hindering sustainable management strategies. Here, using data mining and machine learning, we show that research on nanoplastics toxicity closely mirrors that of engineered nanoparticles, a well-established domain of nanotoxicology. Examining 154,745 research articles on nanoparticle and nanoplastics toxicology, we find that both particle types share similar physicochemical properties, biological uptake mechanisms, toxicity profiles, and structure-toxicity relationships. Although nanoplastics pollution is more pervasive in scale and morphological diversity, its toxicological attributes align with those documented for other nanoscale materials. We challenge the notion that nanoplastics pose a distinct, separate risk, proposing instead that integrating nanoplastics toxicity into the broader field of nanotoxicology can streamline research, prevent duplication of effort, and more efficiently guide policies, resource use, and remediation strategies toward globally sustainable outcomes.

Indexed as

artificial intelligenceknowledge integrationnanoplasticsnanotoxicologyQSAR

Identifiers

PMID40837682
PMCPMC12362211

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.