Evidence map›Paper›PMID 40813891›Full record

ArticleScientific reports2025

Extracellular bioelectrical lexicon: detecting rhythmic patterns within dermal fibroblast populations.

Rute C Félix, Maria C Medeiros, Youssef Elamine, Deborah M Power, Henrique Leonel Gomes

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Rute C FélixCentro de Ciências do Mar (CCMAR/CIMAR), Universidade do Algarve, Campus de Gambelas, Faro, 8005-139, Portugal.
Maria C MedeirosDepartamento de Engenharia Electrotécnica e de Computadores, Instituto de Telecomunicações, Coimbra, 3030-290, Portugal.
Youssef ElamineDepartamento de Engenharia Electrotécnica e de Computadores, Instituto de Telecomunicações, Coimbra, 3030-290, Portugal.
Deborah M PowerCentro de Ciências do Mar (CCMAR/CIMAR), Universidade do Algarve, Campus de Gambelas, Faro, 8005-139, Portugal. dpower@ualg.pt.
Henrique Leonel GomesDepartamento de Engenharia Electrotécnica e de Computadores, Instituto de Telecomunicações, Coimbra, 3030-290, Portugal. hgomes@deec.uc.pt.

Funding

Centro de Ciências do Mar, CCMAR UIDB/04326/2020COMPETE 2020 EMBRC.PT ALG-01-0145-FEDER-022121Fundação para a Ciência e a Tecnologia CEECINST/00058/2021/CP2816/CT0001Instituto de Telecomunicações UIDB/EEA/50008/2020Portuguese Foundation for Science and Technology (FCT) DL57/2016/CP1361/CT0020Portuguese Foundation for Science and Technology (FCT/MCTES) 2022.06979.PTDC
6 · The paper itself

Abstract

This study uses a bioelectronic-based method to establish how non-electrogenic cells, like dermal fibroblast, employ bioelectrical signals to convey information. Electrophysiology using large-area Multielectrode Arrays (MEAs) devices revealed how populations of non-electrogenic cells in vitro generate patterns of bioelectrical signals. The period of the bioelectrical patterns depends on cell population activity. In a fully formed, healthy monolayer, bioelectrical activity is minimal. But during the formation of a monolayer, signals appear randomly, with a dominant period of 4.2 min. Occasionally, quasi-periodic bursts occur with a period between 1.6 and 2 min. When a mechanical wound is inflicted and during subsequent monolayer repair, quasi-periodic signal bursts occur, with an average period ranging from 60 to 110 min. The study uncovers a short-range non humoral communication system and a lexicon of bioelectrical signals linked to cell states.

Indexed as

DermisElectrophysiological PhenomenaFibroblastsSkinCells, CulturedHumansBioelectricityElectrophysiologyExtra-cellular electrodesFibroblastsNon-excitable cells

Identifiers

PMID40813891
PMCPMC12354770

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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.