Evidence map›Paper›PMID 39527929›Full record

ReviewNeuroendocrinology2025

Recent Advances in the Understanding of Gonadotrope Lineage Differentiation in the Developing Pituitary.

Charles Le Ciclé, Joëlle Cohen-Tannoudji, David L'Hôte

Abstract readReview
In one paragraph

Review in Neuroendocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

3 authors.

Charles Le CicléUniversité Paris Cité, CNRS, Inserm, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.
Joëlle Cohen-TannoudjiUniversité Paris Cité, CNRS, Inserm, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.
David L'HôteUniversité Paris Cité, CNRS, Inserm, Unité de Biologie Fonctionnelle et Adaptative, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pituitary gland is a vital endocrine organ regulating body homoeostasis through six hormone-secreting cell types. Among these, pituitary gonadotrope cells are essential for reproductive function. Throughout pituitary ontogenesis, gonadotrope cells differentiate in a stepwise process, involving both morphogenic cues and transcription factors, which drives specification of progenitor cells into specialised endocrine cells. It is crucial to understand the mechanisms underlying gonadotrope differentiation, as developmental defects and abnormalities in this process can lead to many reproductive pathologies. SUMMARY: This review offers a detailed overview of the latest advances in gonadotrope cell differentiation. We addressed this question with a specific focus on three important aspects of gonadotrope differentiation: the identification of the progenitor population giving rise to gonadotrope cells, the early mechanisms that initiate Nr5a1 expression and thus gonadotrope fate commitment, and finally, the mechanisms driving the formation of physical and functional gonadotrope networks. KEY MESSAGES: Overall, this review aimed to provide new insights into three aspects of the gonadotrope differentiation process by reconsidering pioneering studies in the light of data gained from latest technological developments. Firstly, we re-investigated the long debated developmental trajectory of pituitary gonadotrope cells. Secondly, we reported new regulatory mechanisms of Nr5a1 expression, focusing on the involvement of ERα. Finally, we highlighted the molecular and cellular mechanisms driving gonadotrope network formation during embryogenesis, a process that seems essential for regulation of gonadotrope activity.

backgroundThe pituitary gland is a vital endocrine organ regulating body homoeostasis through six hormone-secreting cell types. Among these, pituitary gonadotrope cells are essential for reproductive function. Throughout pituitary ontogenesis, gonadotrope cells differentiate in a stepwise process, involving both morphogenic cues and transcription factors, which drives specification of progenitor cells into specialised endocrine cells. It is crucial to understand the mechanisms underlying gonadotrope differentiation, as developmental defects and abnormalities in this process can lead to many reproductive pathologies. SUMMARY: This review offers a detailed overview of the latest advances in gonadotrope cell differentiation. We addressed this question with a specific focus on three important aspects of gonadotrope differentiation: the identification of the progenitor population giving rise to gonadotrope cells, the early mechanisms that initiate Nr5a1 expression and thus gonadotrope fate commitment, and finally, the mechanisms driving the formation of physical and functional gonadotrope networks. KEY MESSAGES: Overall, this review aimed to provide new insights into three aspects of the gonadotrope differentiation process by reconsidering pioneering studies in the light of data gained from latest technological developments. Firstly, we re-investigated the long debated developmental trajectory of pituitary gonadotrope cells. Secondly, we reported new regulatory mechanisms of Nr5a1 expression, focusing on the involvement of ERα. Finally, we highlighted the molecular and cellular mechanisms driving gonadotrope network formation during embryogenesis, a process that seems essential for regulation of gonadotrope activity.

Indexed as

Cell DifferentiationCell LineageGonadotrophsPituitary GlandAnimalsHumansCell networksGonadotrope differentiationPituitary developmentTranscription factors

Identifiers

PMID39527929
PMCPMC11924211

What OpenQuestion holds

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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.