Evidence map›Paper›PMID 40681532›Full record

ArticleNPJ systems biology and applications2025

A systems biology approach to understand temporal evolution of silver nanoparticle toxicity.

Seung-Geun Park, Eunseo Lee, Hyun-Yi Kim, Tae Hyun Yoon

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2025. 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. 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.

Seung-Geun ParkDepartment of Chemistry, Hanyang University, Seoul, Republic of Korea.
Eunseo LeeDepartment of Chemistry, Hanyang University, Seoul, Republic of Korea.
Hyun-Yi KimNGeneS Inc., Ansan-si, Republic of Korea.
Tae Hyun YoonDepartment of Chemistry, Hanyang University, Seoul, Republic of Korea. taeyoon@hanyang.ac.kr.

Funding

National Research Foundation of Korea 2021M3A7B6031397 and RS-2024-00452934
6 · The paper itself

Abstract

Silver nanoparticles (AgNPs) are widely used in industrial and biomedical applications, however, their toxicity mechanisms at the molecular level are not completely understood. To address this gap, we investigate the temporal dynamics of gene expression in human lung epithelial cells exposed to AgNPs, integrating transcriptomic analysis, gene ontology (GO) enrichment, protein-protein interaction (PPI) networks, and dynamic simulations. GO analysis highlights early activation of ribosomal biogenesis and stress pathways, transitioning DNA repair and cell cycle regulation at later stages. PPI networks identify ribosomal proteins and DNA damage regulators as key hub genes. Dynamic simulations modeled gene expression changes over 48 hours, uncovering sequential activation of stress response genes, followed by DNA repair attempts and apoptotic signaling as cellular damage persisted. Through modeling the interplay between molecular responses and cell viability, the simulations provided a predictive temporal framework for advancing nanotoxicology research, providing insights into AgNPs-induced molecular disturbances, contributing to safety assessments.

Indexed as

Metal NanoparticlesSilverSystems BiologyCell SurvivalComputer SimulationDNA DamageEpithelial CellsGene Expression ProfilingGene OntologyHumansProtein Interaction MapsSilver

Identifiers

PMID40681532
PMCPMC12274429

What Socratic 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 Socratic graph.