Evidence map›Paper›PMID 26653885›Full record

ArticleAccounts of chemical research2016

Nanotechnology-Based Approaches for Guiding Neural Regeneration.

Shreyas Shah, Aniruddh Solanki, Ki-Bum Lee

Abstract read
In one paragraph

Article in Accounts of chemical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Nanotherapeutics for Alleviating Anesthesia-Associated Complications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Light-Responsive Inorganic Biomaterials for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A suspended carbon fiber culture to model myelination by human Schwann cells.Journal of materials science. Materials in medicine · 2017
    Article
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Shreyas ShahDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey , 610 Taylor Road, Piscataway, New Jersey 08854, United States.
Aniruddh SolankiDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey , 610 Taylor Road, Piscataway, New Jersey 08854, United States.
Ki-Bum LeeDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey , 610 Taylor Road, Piscataway, New Jersey 08854, United States.
Rutgers, The State University of New Jersey · US

Funding

Combinatorial approaches for studying multiple cues regulating human pluripotentDP2OD006462 · OD · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM · 2009 to 2009
$2.3M
Novel magnetic core/shell nanoparticle-based stem cell therapy to direct neural sR21NS085569 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM · 2013 to 2014
$421k
NCCDPHP CDC HHS 1DP20D006462-01NIH HHS DP2 OD006462NINDS NIH HHS 1R21NS085569-02NINDS NIH HHS R21 NS085569
6 · The paper itself

Abstract

The mammalian brain is a phenomenal piece of "organic machinery" that has fascinated scientists and clinicians for centuries. The intricate network of tens of billions of neurons dispersed in a mixture of chemical and biochemical constituents gives rise to thoughts, feelings, memories, and life as we know it. In turn, subtle imbalances or damage to this system can cause severe complications in physical, motor, psychological, and cognitive function. Moreover, the inevitable loss of nerve tissue caused by degenerative diseases and traumatic injuries is particularly devastating because of the limited regenerative capabilities of the central nervous system (i.e., the brain and spinal cord). Among current approaches, stem-cell-based regenerative medicine has shown the greatest promise toward repairing and regenerating destroyed neural tissue. However, establishing controlled and reliable methodologies to guide stem cell differentiation into specialized neural cells of interest (e.g., neurons and oligodendrocytes) has been a prevailing challenge in the field. In this Account, we summarize the nanotechnology-based approaches our group has recently developed to guide stem-cell-based neural regeneration. We focus on three overarching strategies that were adopted to selectively control this process. First, soluble microenvironmental factors play a critical role in directing the fate of stem cells. Multiple factors have been developed in the form of small-molecule drugs, biochemical analogues, and DNA/RNA-based vectors to direct neural differentiation. However, the delivery of these factors with high transfection efficiency and minimal cytotoxicity has been challenging, especially to sensitive cell lines such as stem cells. In our first approach, we designed nanoparticle-based systems for the efficient delivery of such soluble factors to control neural differentiation. Our nanoparticles, comprising either organic or inorganic elements, were biocompatible and offered multifunctional capabilities such as imaging and delivery. Moving from the soluble microenvironment in which cells are immersed to the underlying surface, cells can sense and consequently respond to the physical microenvironment in which they reside. For instance, changes in cell adhesion, shape, and spreading are key cellular responses to surface properties of the underlying substrate. In our second approach, we modulated the surface chemistry of two-dimensional substrates to control neural stem cell morphology and the resulting differentiation process. Patterned surfaces consisting of immobilized extracellular matrix (ECM) proteins and/or nanomaterials were generated and utilized to guide neuronal differentiation and polarization. In our third approach, building on the above-mentioned approaches, we further tuned the cell-ECM interactions by introducing nanotopographical features in the form of nanoparticle films or nanofiber scaffolds. Besides providing a three-dimensional surface topography, our unique nanoscaffolds were observed to enhance gene delivery, facilitate axonal alignment, and selectively control differentiation into neural cell lines of interest. Overall, nanotechnology-based approaches offer the precise physicochemical control required to generate tools suitable for applications in neuroscience.

Indexed as

NanotechnologyNerve RegenerationHumansNanostructuresNeural Stem CellsNeuronsParticle SizeSurface Properties

Identifiers

PMID26653885
PMCPMC5808885
OpenAlexW2268063663

What OpenQuestion holds

Textmetadata
LicenceTDM
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.