Evidence map›Paper›PMID 38961531›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2024

Interface-Mediated Neurogenic Signaling: The Impact of Surface Geometry and Chemistry on Neural Cell Behavior for Regenerative and Brain-Machine Interfacing Applications.

Ian Sands, Ryan Demarco, Laura Thurber, Alberto Esteban-Linares, Dong Song, Ellis Meng, Yupeng Chen

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Ian SandsDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.ORCID 0009-0005-4268-4820
Ryan DemarcoDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Laura ThurberDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.
Alberto Esteban-LinaresDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Dong SongDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Ellis MengDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Yupeng ChenDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.

Funding

A Technology Resource for Polymer Microelectrode ArraysU24NS113647 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MENG, ELLIS, SONG, DONG · 2019 to 2023
$6.1M
Optimization of Flexible Neural Probe Arrays for Multi-Region Recordings in Rodents and Nonhuman PrimatesU01NS126046 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Ellis Meng, Dong Song · 2022 to 2026
$5.3M
Supplement: Developing Nanomaterial Platform for Intra-Cartilage Delivery of RNA Therapeutics against Joint DiseasesR01AR072027 · NIAMS · UNIVERSITY OF CONNECTICUT STORRS · PI CHEN, YUPENG · 2017 to 2022
$2.3M
Layer-by-Layer Nano Matrix for Growth Plate RegenerationR21AR079153 · NIAMS · UNIVERSITY OF CONNECTICUT STORRS · PI CHEN, YUPENG · 2022 to 2023
$393k
NASA 80JSC022CA006NASA W81XWH2110274National Science Foundation 1905785National Science Foundation 2025362National Science Foundation 2234570NIAMS NIH HHS R01 AR072027NIAMS NIH HHS R21 AR079153NIH HHS 1R21AR079153-01A1NIH HHS 7R01AR072027NINDS NIH HHS U01 NS126046NINDS NIH HHS U24 NS113647University of Connecticut
6 · The paper itself

Abstract

Nanomaterial advancements have driven progress in central and peripheral nervous system applications such as tissue regeneration and brain-machine interfacing. Ideally, neural interfaces with native tissue shall seamlessly integrate, a process that is often mediated by the interfacial material properties. Surface topography and material chemistry are significant extracellular stimuli that can influence neural cell behavior to facilitate tissue integration and augment therapeutic outcomes. This review characterizes topographical modifications, including micropillars, microchannels, surface roughness, and porosity, implemented on regenerative scaffolding and brain-machine interfaces. Their impact on neural cell response is summarized through neurogenic outcome and mechanistic analysis. The effects of surface chemistry on neural cell signaling with common interfacing compounds like carbon-based nanomaterials, conductive polymers, and biologically inspired matrices are also reviewed. Finally, the impact of these extracellular mediated neural cues on intracellular signaling cascades is discussed to provide perspective on the manipulation of neuron and neuroglia cell microenvironments to drive therapeutic outcomes.

Indexed as

Brain-Computer InterfacesNeuronsSignal TransductionSurface PropertiesAnimalsBiocompatible MaterialsBrainHumansNanostructuresNerve RegenerationNeurogenesisTissue ScaffoldsBiocompatible Materialscell signalingneural Interfacesneurogenesissubstrate chemistrysurface topographies

Identifiers

PMID38961531
PMCPMC11326983

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.