Evidence map›Paper›PMID 36454484›Full record

SynthesisForensic toxicology2022

Neurotoxicity of silver nanoparticles in the animal brain: a systematic review and meta-analysis.

Atousa Janzadeh, Zahra Behroozi, Farzaneh Saliminia, Narges Janzadeh, Hossein Arzani, Kiarash Tanha, Michael R Hamblin, Fatemeh Ramezani

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Forensic toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  7. Nano-structured strategies in combatting neurodegeneration.Frontiers in bioengineering and biotechnology · 2025
    Review
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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

8 authors at 3 institutions in 2 countries.

Atousa Janzadeh *Radiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Zahra Behroozi *Department of Physiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Farzaneh SaliminiaDepartment of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Narges JanzadehOccupational Medicine Research Center (OMRC), Iran University of Medical Sciences (IUMS), Tehran, Iran.
Hossein ArzaniDepartment of Medical Physics and Biomedical Engineering, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Kiarash TanhaDepartment of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
Michael R HamblinLaser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein, 2028, South Africa. hamblin.lab@gmail.com.
Fatemeh RamezaniPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran. Ramezani.f@iums.ac.ir.
Iran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRUniversity of Johannesburg · ZA

Funding

Photodynamic Therapy of Localized InfectionsR01AI050875 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HAMBLIN, MICHAEL R · 2003 to 2017
$4.8M
Synergistic Photodynamic Therapy for Catherer-Associated Urinary Tract InfectionsR21AI121700 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI HAMBLIN, MICHAEL R · 2016 to 2017
$462k
NIAID NIH HHS R01 AI050875NIAID NIH HHS R21 AI121700
6 · The paper itself

Abstract

objectiveAbout 30% of all nanoparticle products contain silver nanoparticles (AgNPs). With the increasing use of AgNPs in industry and medicine, concerns about the adverse effects on the environment, and the possible toxicity of these particles to primary cells and towards organs such as the brain and nervous system increased. In this paper, the toxicity of AgNPs in neurons and brain of animal models was investigated by a systematic review and meta-analysis.

methodsThe full texts of 26 relevant studies were reviewed and analyzed. Data from nine separate experiments in five articles were analyzed by calculating the standardized mean differences between viability of treated animals and untreated groups. Subgroup analysis was conducted. In addition, a systematic review provided a complete, exhaustive summary of all articles.

resultsThe results of the meta-analysis showed that AgNPs are able to cause neuronal death after entering the brain (standardized mean difference (SMD) = 2.87; 95% confidence interval (CI) 2.1-3.61; p < 0.001). AgNPs sized smaller or larger than 10 nm could both cause neuronal cell death. This effect could be observed for a long time (up to 6 months). Neurons from embryonic animals whose mothers had been exposed to AgNPs during pregnancy were affected as much as animals that were themselves exposed to AgNPs. Toxic effects of AgNPs on memory and cognitive function were also observed. Studies have shown that inflammation and increased oxidative stress followed by apoptosis are likely to be the main mechanisms of AgNPs toxicity.

conclusionAgNPs can enter the brain with a long half-life and it can cause neuronal death after entering the brain. AgNPs can manifest proinflammatory cascades in the CNS and BBB. Some toxic effects were detected in the cerebral cortex, hypothalamus, hippocampus and others. Studies have shown that inflammation and increased oxidative stress lead to apoptosis, the main mechanism of AgNPs neurotoxicity, which can be caused by an increase in silver ions from AgNPs.

Indexed as

Metal NanoparticlesNeurotoxicity SyndromesAnimalsBrainFemaleInflammationPregnancySilverSilverAnimal model sBrainIn-vivo experimentNeuronsSilver nanoparticlesToxicity

Identifiers

PMID36454484
OpenAlexW3186756825

What OpenQuestion holds

Textmetadata
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.