Evidence map›Paper›PMID 22249377›Full record

ArticleMolecular psychiatry2012

Chromaffin cells: the peripheral brain.

S R Bornstein, M Ehrhart-Bornstein, A Androutsellis-Theotokis, G Eisenhofer, V Vukicevic, J Licinio, M L Wong, P Calissano, G Nisticò, P Preziosi and 1 more

Abstract read
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In one paragraph

Article in Molecular psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Forty years of the adrenal chromaffin cell through ISCCB meetings around the world.Pflugers Archiv : European journal of physiology · 2023
    Review
  7. Article
  8. 2-ns Electrostimulation of CaBiophysical journal · 2021
    Article
  9. Article
  10. Neuronal lineages derived from the nerve-associated Schwann cell precursors.Cellular and molecular life sciences : CMLS · 2021
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. On Rita Levi-Montalcini.Molecular neurobiology · 2013
    Article
  17. Expression profiles of the nuclear receptors and their transcriptional coregulators during differentiation of neural stem cells.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2013
    Article
  18. Article
  19. Article
  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

11 authors.

S R BornsteinDepartment of Medicine III, University of Dresden, Dresden, Germany. stefan.bornstein@uniklinikum-dresden.de
M Ehrhart-Bornstein
A Androutsellis-Theotokis
G Eisenhofer
V Vukicevic
J Licinio
M L Wong
P Calissano
G Nisticò
P Preziosi
R Levi-Montalcini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromaffin cells probably are the most intensively studied of the neural crest derivates. They are closely related to the nervous system, share with neurons some fundamental mechanisms and thus were the ideal model to study the basic mechanisms of neurobiology for many years. The lessons we have learned from chromaffin cell biology as a peripheral model for the brain and brain diseases pertain more than ever to the cutting edge research in neurobiology. Here, we highlight how studying this cell model can help unravel the basic mechanisms of cell renewal and regeneration both in the central nervous system (CNS) and neuroendocrine tissue and also can help in designing new strategies for regenerative therapies of the CNS.

Indexed as

AnimalsBrainChromaffin CellsHumansModels, BiologicalNerve RegenerationNeurogenesisNeuronsStem Cells

Identifiers

PMID22249377

What OpenQuestion holds

Textmetadata
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.