Evidence map›Paper›PMID 39489799›Full record

ArticleScientific reports2024

Molecular dynamics simulations reveal concentration-dependent blockage of graphene quantum dots to water channel protein openings.

Yunbo Du, Yuqi Luo, Zonglin Gu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Yunbo DuDepartment of Critical Care Medicine, Shenzhen Longhua District Central Hospital, No. 187, Guanlan Road, Longhua District, Shenzhen, 518110, Guangdong Province, China.
Yuqi LuoDepartment of Gastrointestinal and Hepatobiliary Surgery, Shenzhen Longhua District Central Hospital, No. 187, Guanlan Road, Longhua District, Shenzhen, 518110, Guangdong Province, China. drluoyuqi@163.com.
Zonglin GuCollege of Physical Science and Technology, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515220075
6 · The paper itself

Abstract

Graphene quantum dots (GQDs) have attracted significant attention across various scientific research areas due to their exceptional properties. However, studies on the potential toxicity of GQDs have yielded conflicting results. Therefore, a comprehensive evaluation of the toxicity profile of GQDs is essential for a thorough understanding of their biosafety. In this work, employing a molecular dynamics (MD) simulation approach, we investigate the interactions between GQDs and graphene oxide quantum dots (GOQDs) with the AQP1 water channel protein, aiming to explore the potential biological influence of GQDs/GOQDs. Our MD simulation results reveal that GQDs can adsorb to the loop region around the openings of AQP1 water channels, resulting in the blockage of these channels and potential toxicity. Interestingly, this blockage is concentration-dependent, with higher GQD concentrations leading to a greater likelihood of blockage. Additionally, GOQDs show a lower probability of blocking the openings of AQP1 water channels compared to GQDs, due to the hydrophobicity of the loop regions around the openings, which ultimately leads to lower interaction energy. Therefore, these findings provide new insights into the potential adverse impact of GQDs on AQP1 water channels through the blockage of their openings, offering valuable molecular insights into the toxicity profile of GQD nanomaterials.

Indexed as

Aquaporin 1GraphiteMolecular Dynamics SimulationQuantum DotsHumansWaterAquaporin 1graphene oxideGraphiteWater

Identifiers

PMID39489799
PMCPMC11532551

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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.