Evidence map›Paper›PMID 39235952›Full record

ReviewThe Journal of physiology2025

Modelling neurocardiac physiology and diseases using human pluripotent stem cells: current progress and future prospects.

Hsueh-Fu Wu, Charlotte Hamilton, Harrison Porritt, Annika Winbo, Nadja Zeltner

Abstract readReview
In one paragraph

Review in The Journal of physiology, 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. Article
  2. 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

5 authors.

Hsueh-Fu WuCenter for Molecular Medicine, University of Georgia, Athens, Georgia, USA.
Charlotte HamiltonDepartment of Physiology, The University of Auckland, Auckland, New Zealand.ORCID 0009-0008-9151-0845
Harrison PorrittDepartment of Physiology, The University of Auckland, Auckland, New Zealand.
Annika WinboDepartment of Physiology, The University of Auckland, Auckland, New Zealand.ORCID 0000-0002-9323-3166
Nadja ZeltnerCenter for Molecular Medicine, University of Georgia, Athens, Georgia, USA.ORCID 0000-0001-7892-7154

Funding

Precision Medicine for the Peripheral Nervous System Disorder Familiar DysautonomiaR01NS114567 · NINDS · UNIVERSITY OF GEORGIA · PI Nadja Zeltner · 2021 to 2026
$3.0M
NINDS NIH HHS R01 NS114567
6 · The paper itself

Abstract

Throughout our lifetime the heart executes cycles of contraction and relaxation to meet the body's ever-changing metabolic needs. This vital function is continuously regulated by the autonomic nervous system. Cardiovascular dysfunction and autonomic dysregulation are also closely associated; however, the degrees of cause and effect are not always readily discernible. Thus, to better understand cardiovascular disorders, it is crucial to develop model systems that can be used to study the neurocardiac interaction in healthy and diseased states. Human pluripotent stem cell (hiPSC) technology offers a unique human-based modelling system that allows for studies of disease effects on the cells of the heart and autonomic neurons as well as of their interaction. In this review, we summarize current understanding of the embryonic development of the autonomic, cardiac and neurocardiac systems, their regulation, as well as recent progress of in vitro modelling systems based on hiPSCs. We further discuss the advantages and limitations of hiPSC-based models in neurocardiac research.

Indexed as

Autonomic Nervous SystemHeartInduced Pluripotent Stem CellsPluripotent Stem CellsAnimalsHumansautonomic nervous systemcardiologydisease modellinghuman pluripotent stem cellneurocardiology

Identifiers

PMID39235952
PMCPMC11955871

What OpenQuestion holds

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LicenceCC BY-NC
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.