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[Intercellular communication within the anterior pituitary]

Y Nakai1

  • 1Division of The Science of Nursing, College of Medical Technology, Kyoto University.

Nihon Rinsho. Japanese Journal of Clinical Medicine
|October 1, 1993
PubMed
Summary

Novel methods reveal paracrine and autocrine signaling in the anterior pituitary. Researchers are exploring various cell types and signaling substances, but clear pathways remain elusive.

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Area of Science:

  • Endocrinology
  • Cell Biology
  • Neuroscience

Background:

  • Recent years have seen increased study of paracrine and autocrine interactions within the anterior pituitary.
  • Novel methodologies have provided strong evidence for cell-cell communication in pituitary physiology.
  • The discovery of new signaling substances has further fueled interest in this area.

Purpose of the Study:

  • To review the current understanding of intercellular communication within the anterior pituitary.
  • To highlight the roles of various anterior pituitary cell types (gonadotrophs, thyrotrophs, somatotrophs, lactotrophs, corticotrophs) as sources and targets of signaling factors.
  • To emphasize the need for careful interpretation of accumulating observational data.

Main Methods:

  • Review of recent scientific literature.
  • Analysis of studies employing novel methodologies for pituitary research.
  • Synthesis of findings on intercellular factors and their effects on different pituitary cell types.

Main Results:

  • Convincing evidence supports cell-cell communication within the anterior pituitary.
  • Multiple anterior pituitary cell types are involved in paracrine and autocrine signaling.
  • A growing number of substances have been identified as potential mediators of this communication.

Conclusions:

  • Current research provides a collection of observations rather than fully delineated signaling pathways.
  • Further research is needed to establish clear mechanisms of intercellular communication in the anterior pituitary.
  • Caution is advised when interpreting current findings due to the observational nature of much of the data.

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