Evidence map›Paper›PMID 37235245›Full record

ReviewToxics2023

A Review on Per- and Polyfluoroalkyl Substances in Pregnant Women: Maternal Exposure, Placental Transfer, and Relevant Model Simulation.

Yuqing Wu, Jia Bao, Yang Liu, Xin Wang, Wene Qu

Open access · goldAbstract readReview
In one paragraph

Review in Toxics, 2023. 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
2.0field-weighted citation impact, top 16% of its field
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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Yuqing WuSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, China.
Jia BaoSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, China.ORCID 0000-0001-6061-9268
Yang LiuSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, China.ORCID 0000-0001-7833-9109
Xin WangSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, China.
Wene QuSchool of Environmental and Chemical Engineering, Shenyang University of Technology, Shenyang 110870, China.
Shenyang University of Technology · CN

Funding

Liaoning Revitalization Talents Program XLYC2007195National Natural Science Foundation of China 21507092National Natural Science Foundation of China 21976124
6 · The paper itself

Abstract

Per- and polyfluoroalkyl substances (PFASs) are important and ubiquitous environmental contaminants worldwide. These novel contaminants can enter human bodies via various pathways, subsequently posing risks to the ecosystem and human health. The exposure of pregnant women to PFASs might pose risks to the health of mothers and the growth and development of fetuses. However, little information is available about the placental transfer of PFASs from mothers to fetuses and the related mechanisms through model simulation. In the present study, based upon a review of previously published literature, we initially summarized the exposure pathways of PFASs in pregnant women, factors affecting the efficiency of placental transfer, and mechanisms associated with placental transfer; outlined simulation analysis approaches using molecular docking and machine learning to reveal the mechanisms of placental transfer; and finally highlighted future research emphases that need to be focused on. Consequently, it was notable that the binding of PFASs to proteins during placental transfer could be simulated by molecular docking and that the placental transfer efficiency of PFASs could also be predicted by machine learning. Therefore, future research on the maternal-fetal transfer mechanisms of PFASs with the benefit of simulation analysis approaches is warranted to provide a scientific basis for the health effects of PFASs on newborns.

Indexed as

alternativemachine learningmolecular dockingPFASsplacental transferpregnant women

Identifiers

PMID37235245
PMCPMC10224256
OpenAlexW4372341445

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.