Evidence map›Paper›PMID 29069934›Full record

ReviewDrug delivery2017

Biological responses to nanomaterials: understanding nano-bio effects on cell behaviors.

Xi-Qiu Liu, Rui-Zhi Tang

Abstract readReview
In one paragraph

Review in Drug delivery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. The nanotopography of SiONanoscale · 2021
    Article
  13. Article
  14. Review
  15. Polystyrene-ACS omega · 2020
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Molecular-Level Interactions between Engineered Materials and Cells.International journal of molecular sciences · 2019
    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

2 authors.

Xi-Qiu Liua School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , PR China.
Rui-Zhi Tangb Lab of Inflammation & Cancer, Institut de Génétique Moléculaire de Montpellier , Montpellier , France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unique properties of nanomaterials in drug delivery and tissue engineering have captured a great deal of attention as experimental tools in bioimaging, diagnostic, and therapeutic processes. A plenty of research have provided a strong evidence that nanostructures not only passively interact with cells but also actively engage and mediate cell functions and molecular processes. Undoubtedly, it is crucially important to better understand biological responses to engineered nanomaterials, especially in view of their potential for biomedical applications. In this review, we shall highlight recent advances in exploring nano-bio effects in diverse systems of nanoparticles, nanotopographies, and mixed composite scaffolds. We will also discuss their manipulating functions on cellular behaviors and important biological processes of adhesion, morphology, proliferation, migration, differentiation, and even hidden mechanisms including molecular signaling pathways. At last, the perspectives will be addressed for further directions of nanomaterial designs with the purpose of better drug delivery and cell therapies.

Indexed as

AnimalsDrug Delivery SystemsHumansNanoparticlesNanostructuresNanotechnologyTissue Engineeringcell behaviorcomposite scaffoldsNano-bio effectsnanoparticlenanotopography

Identifiers

PMID29069934
PMCPMC8812585

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.