Evidence map›Paper›PMID 22921841›Full record

ReviewAdvanced drug delivery reviews2013

Nanotopography-guided tissue engineering and regenerative medicine.

Hong Nam Kim, Alex Jiao, Nathaniel S Hwang, Min Sung Kim, Do Hyun Kang, Deok-Ho Kim, Kahp-Yang Suh

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

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  18. Poly(3-hydroxybutyrate) 3D-Scaffold-Conduit for Guided Tissue Sprouting.International journal of molecular sciences · 2023
    Article
  19. Article
  20. Review

40 more citing papers are in PubMed but not listed here.

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

7 authors.

Hong Nam KimDivision of WCU Multiscale Mechanical Design, School of Mechanical and Aerospace Engineering, Seoul National University, Seoul 151-742, Republic of Korea.
Alex Jiao
Nathaniel S Hwang
Min Sung Kim
Do Hyun Kang
Deok-Ho Kim
Kahp-Yang Suh

Funding

Bioengineering Cardiovascular Training GrantT32EB001650 · NIBIB · UNIVERSITY OF WASHINGTON · PI REGNIER, MICHAEL · 2004 to 2019
$3.6M
NIBIB NIH HHS T32 EB001650
6 · The paper itself

Abstract

Human tissues are intricate ensembles of multiple cell types embedded in complex and well-defined structures of the extracellular matrix (ECM). The organization of ECM is frequently hierarchical from nano to macro, with many proteins forming large scale structures with feature sizes up to several hundred microns. Inspired from these natural designs of ECM, nanotopography-guided approaches have been increasingly investigated for the last several decades. Results demonstrate that the nanotopography itself can activate tissue-specific function in vitro as well as promote tissue regeneration in vivo upon transplantation. In this review, we provide an extensive analysis of recent efforts to mimic functional nanostructures in vitro for improved tissue engineering and regeneration of injured and damaged tissues. We first characterize the role of various nanostructures in human tissues with respect to each tissue-specific function. Then, we describe various fabrication methods in terms of patterning principles and material characteristics. Finally, we summarize the applications of nanotopography to various tissues, which are classified into four types depending on their functions: protective, mechano-sensitive, electro-active, and shear stress-sensitive tissues. Some limitations and future challenges are briefly discussed at the end.

Indexed as

AnimalsCellular MicroenvironmentHumansNanotechnologyRegenerative MedicineTissue Engineering

Identifiers

PMID22921841
PMCPMC5444877

What OpenQuestion holds

Textmetadata
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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.