Evidence map›Paper›PMID 37672212›Full record

ArticleNanoscale horizons2023

Neuronal maturation-dependent nano-neuro interaction and modulation.

Prashant Gupta, Priya Rathi, Rohit Gupta, Harsh Baldi, Quentin Coquerel, Avishek Debnath, Hamed Gholami Derami, Baranidharan Raman, Srikanth Singamaneni

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale horizons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

9 authors at 1 institution in 1 country.

Prashant GuptaDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.ORCID 0009-0008-6291-9465
Priya RathiDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.
Rohit GuptaDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.
Harsh BaldiDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.
Quentin CoquerelDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. barani@wustl.edu.
Avishek DebnathDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.
Hamed Gholami DeramiDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.
Baranidharan RamanDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. barani@wustl.edu.ORCID 0000-0002-7866-155X
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. singamaneni@wustl.edu.ORCID 0000-0002-7203-2613
Washington University in St. Louis · US

Funding

ZEISS LSM880 AIRYSCAN MICROSCOPE FOR SHARED BIOMEDICAL RESEARCHS10OD021629 · OD · WASHINGTON UNIVERSITY · PI FITZPATRICK, JAMES ALEXANDER · 2017 to 2017
$596k
Air Force Office of Scientific Research FA95501910394NIH HHS S10 OD021629
6 · The paper itself

Abstract

Nanotechnology-enabled neuromodulation is a promising minimally-invasive tool in neuroscience and engineering for both fundamental studies and clinical applications. However, the nano-neuro interaction at different stages of maturation of a neural network and its implications for the nano-neuromodulation remain unclear. Here, we report heterogeneous to homogeneous transformation of neuromodulation in a progressively maturing neural network. Utilizing plasmonic-fluors as ultrabright fluorescent nanolabels, we reveal that negative surface charge of nanoparticles renders selective nano-neuro interaction with a strong correlation between the maturation stage of the individual neurons in the neural network and the density of the nanoparticles bound on the neurons. In stark contrast to homogeneous neuromodulation in a mature neural network reported so far, the maturation-dependent density of the nanoparticles bound to neurons in a developing neural network resulted in a heterogeneous optical neuromodulation (

Indexed as

NeurologyNeuronsAnimalsBrainMammalsNanotechnologyNeurogenesis

Identifiers

PMID37672212
PMCPMC10615777
OpenAlexW4386262048

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.