Evidence mapPaperPMID 38197953Full record

ArticleThe Journal of general physiology2024

Electro-metabolic signaling.

Thomas A Longden, W Jonathan Lederer

Abstract read
In one paragraph

Article in The Journal of general physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Cerebral capillary computation.American journal of physiology. Cell physiology · 2026
    Review
  2. Cell-cell crosstalk in kidney health and disease.Nature reviews. Nephrology · 2026
    Review
  3. Article
  4. Article
  5. Pericyte Electrical Signalling and Brain Haemodynamics.Basic & clinical pharmacology & toxicology · 2025
    Review
  6. Electrifying the brain capillary CaProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Pericytes in mouse heart.Frontiers in physiology · 2025
    Article
  8. 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

2 authors.

Thomas A LongdenDepartment of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-7950-7677
W Jonathan LedererDepartment of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-8488-2180

Funding

Chemo-mechanical signaling in atrial myocytesR01HL142290 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI William Jonathan Lederer, Christopher William WARD · 2021 to 2022
$1.3M
Extracellular miRNAs, innate immunity, and critical illnessR35GM140822 · UNIVERSITY OF MARYLAND BALTIMORE · 2025 to 2025
$386k
NHLBI NIH HHS R01 HL142290NIAID NIH HHS U19 AI090959NIA NIH HHS R01 AG066645NIGMS NIH HHS GM140822NIGMS NIH HHS R35 GM140822NIH HHSNINDS NIH HHS 5R01NS115401NINDS NIH HHS DP2 NS121347NINDS NIH HHS R01 NS115401
6 · The paper itself

Abstract

Precise matching of energy substrate delivery to local metabolic needs is essential for the health and function of all tissues. Here, we outline a mechanistic framework for understanding this critical process, which we refer to as electro-metabolic signaling (EMS). All tissues exhibit changes in metabolism over varying spatiotemporal scales and have widely varying energetic needs and reserves. We propose that across tissues, common signatures of elevated metabolism or increases in energy substrate usage that exceed key local thresholds rapidly engage mechanisms that generate hyperpolarizing electrical signals in capillaries that then relax contractile elements throughout the vasculature to quickly adjust blood flow to meet changing needs. The attendant increase in energy substrate delivery serves to meet local metabolic requirements and thus avoids a mismatch in supply and demand and prevents metabolic stress. We discuss in detail key examples of EMS that our laboratories have discovered in the brain and the heart, and we outline potential further EMS mechanisms operating in tissues such as skeletal muscle, pancreas, and kidney. We suggest that the energy imbalance evoked by EMS uncoupling may be central to cellular dysfunction from which the hallmarks of aging and metabolic diseases emerge and may lead to generalized organ failure states-such as diverse flavors of heart failure and dementia. Understanding and manipulating EMS may be key to preventing or reversing these dysfunctions.

Indexed as

Heart FailureSignal TransductionBrainElectricityHumans

Identifiers

PMID38197953
PMCPMC10783436

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.