Evidence map›Paper›PMID 35449216›Full record

ArticleNature chemistry2022

Parallel transmission in a synthetic nerve.

Charlotte E G Hoskin, Vanessa Restrepo Schild, Javier Vinals, Hagan Bayley

Open access · greenAbstract read
In one paragraph

Article in Nature chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

4 authors at 1 institution in 1 country.

Charlotte E G Hoskin *Chemistry Department, Oxford University, Oxford, UK.
Vanessa Restrepo Schild *Chemistry Department, Oxford University, Oxford, UK.
Javier VinalsBiochemistry Department, Oxford University, Oxford, UK.
Hagan BayleyChemistry Department, Oxford University, Oxford, UK. hagan.bayley@chemistry.ox.ac.uk.ORCID http://orcid.org/0000-0003-2499-6116
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research CouncilEuropean Research Council 833792
6 · The paper itself

Abstract

Bioelectronic devices that are tetherless and soft are promising developments in medicine, robotics and chemical computing. Here, we describe bioinspired synthetic neurons, composed entirely of soft, flexible biomaterials, capable of rapid electrochemical signal transmission over centimetre distances. Like natural cells, our synthetic neurons release neurotransmitters from their terminals, which initiate downstream reactions. The components of the neurons are nanolitre aqueous droplets and hydrogel fibres, connected through lipid bilayers. Transmission is powered at these interfaces by light-driven proton pumps and mediated by ion-conducting protein pores. By bundling multiple neurons into a synthetic nerve, we have shown that distinct signals can propagate simultaneously along parallel axons, thereby transmitting spatiotemporal information. Synthetic nerves might play roles in next-generation implants, soft machines and computing devices.

Indexed as

Lipid BilayersRoboticsHydrogelsNeuronsWaterHydrogelsLipid BilayersWater

Identifiers

PMID35449216
PMCPMC7617068
OpenAlexW4224226123

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.