Evidence map›Paper›PMID 40707574›Full record

ArticleScientific reports2025

Investigation of molecular mechanisms in silver nanoparticle-induced cytotoxicity from gene to metabolite level.

Yan Huang, Rong Chen, Ye Chen, Xiaoying Lü

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  2. 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

4 authors.

Yan HuangState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Si Pailou, Nanjing, 210096, China.
Rong ChenState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Si Pailou, Nanjing, 210096, China.
Ye ChenState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Si Pailou, Nanjing, 210096, China.
Xiaoying LüState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, 2# Si Pailou, Nanjing, 210096, China. luxiaoyingseu@163.com.

Funding

National Natural Science Foundation of China 32371393
6 · The paper itself

Abstract

The aim of this study was to explore the mechanisms in silver nanoparticle (AgNP)-induced cytotoxicity from gene to metabolite levels through an integrative analysis of transcriptomics and metabolomics results. First, transcriptome sequencing technology revealed 1365, 1241, and 2790 genes differentially expressed within human dermal fibroblasts (HDFs) after 4, 8, and 24 h of exposure to silver nanoparticles, which were involved in 250, 248, and 280 biological pathways. Then, by comparing with the metabolomics results, 7 metabolic pathways (purine metabolism pathway, glycerophospholipid metabolism pathway, etc.), with 9 key upstream genes (ADCY4, SPHK1, etc.) and 8 downstream metabolites (xanthine, choline, etc.) jointly involved were found relate to AgNP-induced cytotoxicity. Finally, the results of the validation experiments revealed that AgNPs exerted the toxic effects through these pathways, inducing oxidative stress, affecting energy metabolism, arresting the cell cycle, disrupting the cytoskeleton, inhibiting cell proliferation, and triggering apoptosis.

Indexed as

Metal NanoparticlesSilverApoptosisCell CycleCell ProliferationCell SurvivalFibroblastsGene Expression ProfilingHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsOxidative StressTranscriptomeSilverHuman dermal fibroblastsMetabolomicsMolecular mechanismsSilver nanoparticlesTranscriptomics

Identifiers

PMID40707574
PMCPMC12290054

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.