Evidence map›Paper›PMID 34265520›Full record

ArticleBiosensors & bioelectronics2021

Come together: On-chip bioelectric wound closure.

Tom J Zajdel, Gawoon Shim, Daniel J Cohen

Open access · hybridAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Hydrogel-based neural engineering for skin wound healing.Frontiers in cell and developmental biology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. A quadriphasic mechanical model of the human dermis.Biomechanics and modeling in mechanobiology · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Elastic Fibers/Fabrics for Wearables and Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  18. Article
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Tom J ZajdelMechanical & Aerospace Engineering, Princeton University, 08544, Princeton, NJ, United States.
Gawoon ShimMechanical & Aerospace Engineering, Princeton University, 08544, Princeton, NJ, United States.
Daniel J CohenMechanical & Aerospace Engineering, Princeton University, 08544, Princeton, NJ, United States. Electronic address: danielcohen@princeton.edu.
Princeton University · US

Funding

Understanding and controlling collective cell behaviorsR35GM133574 · NIGMS · PRINCETON UNIVERSITY · PI Daniel Cohen · 2019 to 2026
$3.2M
NRSA TrainingTL1TR003019 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SCOTTO, KATHLEEN W. · 2019 to 2023
$1.9M
NCATS NIH HHS TL1 TR003019NIGMS NIH HHS R35 GM133574
6 · The paper itself

Abstract

There is a growing interest in bioelectric wound treatment and electrotaxis, the process by which cells detect an electric field and orient their migration along its direction, has emerged as a potential cornerstone of the endogenous wound healing response. Despite recognition of the importance of electrotaxis in wound healing, no experimental demonstration to date has shown that the actual closing of a wound can be accelerated solely by the electrotaxis response itself, and in vivo systems are too complex to resolve cell migration from other healing stages such as proliferation and inflammation. This uncertainty has led to a lack of standardization between stimulation methods, model systems, and electrode technology required for device development. In this paper, we present a 'healing-on-chip' approach that is a standardized, low-cost, model for investigating electrically accelerated wound healing. Our device provides a biomimetic convergent field geometry that more closely resembles actual wound fields. We validate this device by using electrical stimulation to close a 1.5 mm gap between two large (30 mm

Indexed as

Biosensing TechniquesCell MovementElectricitySkinWound HealingBioelectricityBioengineeringCell migrationElectrotaxisWound healing

Identifiers

PMID34265520
PMCPMC8453109
OpenAlexW3181601563

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.