Evidence map›Paper›PMID 40354532›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Identification of nanoparticle infiltration in human breast milk: Chemical profiles and trajectory pathways.

Qing Yang, Di Chen, Xi Liu, Wenjie Li, Huizhen Zheng, Xiaoming Cai, Ruibin Li

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Identification of nanoparticle infiltration in human breast milk: Chemical profiles and trajectory pathways.Proceedings of the National Academy of Sciences of the United States of America · 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

7 authors.

Qing YangCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.
Di ChenCollaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.
Xi LiuCollaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.
Wenjie LiCollaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.
Huizhen ZhengCollaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.ORCID 0000-0001-6375-0122
Xiaoming CaiCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.ORCID 0000-0001-6043-0510
Ruibin LiCollaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Suzhou Medical College, Soochow University, Suzhou, Jiangsu 215123, China.ORCID 0000-0001-6471-7658

Funding

the European Union under the REFRESH - Research Excellence for Region Sustainability and High-tech Industries project CZ.10.03.01/00/22_003/0000048the National Key R&D Program of China 2022YFE0124000the National Natural Science Fundation of China 82473680
6 · The paper itself

Abstract

Breast milk is crucial for infant health, offering essential nutrients and immune protection. However, despite increasing exposure risks from nanoparticles (NPs), their potential infiltration into human breast milk remains poorly understood. This study provides a comprehensive chemical profile of NPs in human breast milk, analyzing their elemental composition, surface charge, hydrodynamic size, and crystallinity. NPs were detected in 42 out of 53 milk samples, with concentrations reaching up to 1.12 × 10

Indexed as

Milk, HumanNanoparticlesFemaleHumansParticle SizeStructure-Activity Relationshipbiodistributionhuman milknanoparticlepollutant

Identifiers

PMID40354532
PMCPMC12107167

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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.