Bioelectric mechanisms in regeneration: unique aspects and future perspectives

Semin Cell Dev Biol · 2009 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 6710

The review argues that endogenous ion flows, voltage gradients, and electric fields act as key epigenetic regulators of cell behavior and contribute to morphogenetic processes and robust pattern restoration. It discusses properties of bioelectric signaling an…

Study snapshot

PublicationSemin Cell Dev Biol · 2009
Study typereview
Reported directionUnclear
Evidence ratingInsufficient

Abstract

Regenerative biology has focused largely on chemical factors and transcriptional networks. However, endogenous ion flows serve as key epigenetic regulators of cell behavior. Bioelectric signaling involves feedback loops, long-range communication, polarity, and information transfer over multiple size scales. Understanding the roles of endogenous voltage gradients, ion flows, and electric fields will contribute to the basic understanding of numerous morphogenetic processes and the means by which they can robustly restore pattern after perturbation. By learning to modulate the bioelectrical signals that control cell proliferation, migration, and differentiation, we gain a powerful set of new techniques with which to manipulate growth and patterning in biomedical contexts. This chapter reviews the unique properties of bioelectric signaling, surveys molecular strategies and reagents for its investigation, and discusses the opportunities made available for regenerative medicine.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typereview
Effect directionunclear
PopulationNot supplied
Sample sizeNot supplied
ExposureNot supplied
Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The review argues that endogenous ion flows, voltage gradients, and electric fields act as key epigenetic regulators of cell behavior and contribute to morphogenetic processes and robust pattern restoration. It discusses properties of bioelectric signaling and molecular strategies/reagents to investigate and modulate these signals for regenerative medicine applications.

Outcomes measured

  • regeneration
  • morphogenesis
  • cell behavior regulation (proliferation, migration, differentiation)
  • pattern restoration after perturbation
View raw extracted JSON
{
  "study_type": "review",
  "exposure": {
    "band": null,
    "source": "endogenous bioelectric signaling",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "regeneration",
    "morphogenesis",
    "cell behavior regulation (proliferation, migration, differentiation)",
    "pattern restoration after perturbation"
  ],
  "main_findings": "The review argues that endogenous ion flows, voltage gradients, and electric fields act as key epigenetic regulators of cell behavior and contribute to morphogenetic processes and robust pattern restoration. It discusses properties of bioelectric signaling and molecular strategies/reagents to investigate and modulate these signals for regenerative medicine applications.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "bioelectric signaling",
    "endogenous ion flows",
    "voltage gradients",
    "electric fields",
    "epigenetic regulation",
    "morphogenesis",
    "regeneration",
    "regenerative medicine",
    "cell proliferation",
    "cell migration",
    "cell differentiation"
  ],
  "suggested_hubs": [
    {
      "slug": "bioelectricity",
      "weight": 0.9,
      "reason": "Focuses on endogenous voltage gradients, ion flows, and electric fields in regeneration and morphogenesis."
    }
  ]
}
AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1016/j.semcdb.2009.04.013
PubMed: 19406249

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