Evidence map›Paper›PMID 37241608›Full record

ArticleMicromachines2023

Neurotoxicity of Silver Nanoparticles and Non-Linear Development of Adaptive Homeostasis with Age.

Anna A Antsiferova, Marina Yu Kopaeva, Vyacheslav N Kochkin, Alexander A Reshetnikov, Pavel K Kashkarov

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. 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
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 2 institutions in 1 country.

Anna A AntsiferovaNational Research Center "Kurchatov Institute", Akademika Kurchatova sq., 123182 Moscow, Russia.ORCID 0000-0002-0528-9005
Marina Yu KopaevaNational Research Center "Kurchatov Institute", Akademika Kurchatova sq., 123182 Moscow, Russia.ORCID 0000-0002-6100-2830
Vyacheslav N KochkinNational Research Center "Kurchatov Institute", Akademika Kurchatova sq., 123182 Moscow, Russia.
Alexander A ReshetnikovNational Research Center "Kurchatov Institute", Akademika Kurchatova sq., 123182 Moscow, Russia.ORCID 0000-0001-6087-7769
Pavel K KashkarovNational Research Center "Kurchatov Institute", Akademika Kurchatova sq., 123182 Moscow, Russia.
Kurchatov Institute · RUMoscow Institute of Physics and Technology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the first time in the world, the behavioral functions of laboratory mammals exposed to silver nanoparticles were studied with regard to age. Silver nanoparticles coated with polyvinylpyrrolidone with a size of 8.7 nm were used in the present research as a potential xenobiotic. Elder mice adapted to the xenobiotic better than the younger animals. Younger animals demonstrated more drastic anxiety than the elder ones. A hormetic effect of the xenobiotic in elder animals was observed. Thus, it is concluded that adaptive homeostasis non-linearly changes with age increase. Presumably, it may improve during the prime of life and start to decline just after a certain stage. This work demonstrates that age growth is not directly conjugated with the organism fading and pathology development. Oppositely, vitality and resistance to xenobiotics may even improve with age at least until the prime of life.

Indexed as

adaptive homeostasisageinganxietybehavioral functionsbioaccumulationindividual contentmicenanoparticleneutron activation analysissilver nanoparticles

Identifiers

PMID37241608
PMCPMC10221892
OpenAlexW4367678674

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.