Evidence mapPaperPMID 35541676Full record

ArticleRSC advances2018

Silver nanoparticle modified surfaces induce differentiation of mouse kidney-derived stem cells.

Neelika Roy Chowdhury, Isabel Hopp, Peter Zilm, Patricia Murray, Krasimir Vasilev

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. 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
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

5 authors at 3 institutions in 4 countries.

Neelika Roy ChowdhurySchool of Engineering, University of South Australia Mawson Lakes SA 5095 Australia Krasimir.vasilev@unisa.edu.au.
Isabel HoppInstitute of Translational Medicine, University of Liverpool Liverpool UK P.A.Murray@liverpool.ac.uk.
Peter ZilmMicrobiology Laboratory, Adelaide Dental School, The University of Adelaide Adelaide SA 5005 Australia.
Patricia MurrayInstitute of Translational Medicine, University of Liverpool Liverpool UK P.A.Murray@liverpool.ac.uk.
Krasimir VasilevSchool of Engineering, University of South Australia Mawson Lakes SA 5095 Australia Krasimir.vasilev@unisa.edu.au.ORCID https://orcid.org/0000-0003-3534-4754
University of Liverpool · GBUniversity of South Australia · AUCzech Academy of Sciences, Institute of Microbiology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we interrogate the influence of silver nanoparticle (AgNPs)-based model surfaces on mouse kidney-derived stem cells (mKSCs) differentiation. The widespread use of silver in biomedical and consumer products requires understanding of this element's effect on kidney cells. Moreover, the potential for using stem cells in drug discovery require methods to direct their differentiation to specialized cells. Hence, we generated coated model substrates containing different concentrations of surface immobilized AgNPs, and used them to evaluate properties and functions of mKSCs. Initially, mKSCs exhibited reduced viability on higher silver containing surfaces. However, longer culture periods assisted mKSCs to recover. Greater degree of cell spreading and arborization led by AgNPs, suggest podocyte differentiation. Proximal tubule cell marker's expression revealed differentiation to the specific lineage. Although the exact mechanism underpinning these findings require significant future efforts, this study demonstrate silver's capacity to stimulate mKSC differentiation, which may provide opportunities for drug screenings.

Identifiers

PMID35541676
PMCPMC9080803
OpenAlexW2807028600

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.