Evidence map›Paper›PMID 42290864›Full record

ReviewFrontiers in endocrinology2026

Autocrine and paracrine regulation of pituitary endocrine cells.

Jianmei Yang, Lingyu Li, Xiangbo Xie, Changying Zhao, Chen Chen

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jianmei YangDepartment of Pediatric Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Lingyu LiDepartment of Pediatric Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xiangbo XieDepartment of Pediatric Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Changying ZhaoDepartment of Endocrinology and Metabolism, The Affiliated Traditional Chinese Medical Hospital of Southwest Medical University, Luzhou, China.
Chen ChenEndocrinology and Metabolism, School of Biomedical Sciences (SBMS), Faculty of Health, Medicine, and Behaviour Sciences, The University of Queensland, St. Lucia, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anterior pituitary gland is an important endocrine organ composed of a variety of key endocrine cells that regulate the functions of peripheral targeted organs, such as growth, development, behavior, lactation, reproduction and the stability of the internal environment and metabolism. This gland also regulates the functions of targeted peripheral endocrine organs, such as the thyroid, adrenal gland and gonads. In recent years, H&E and immunohistochemical staining, electron microscopic observation, pituitary endocrine cell line establishment and transplantation, flow cytometry, immunoblotting, qPCR, proteomics, ion channel and signal studies, among others, provided new knowledge of pituitary structure and function mostly in laboratory rodents under different physiological and pathophysiological conditions. Such investigations may contribute significantly to the research and treatment of human pituitary diseases. This review aims to provide a focused view of the rapid progress in new knowledge of the pituitary without repeating classical theories for endocrinologists and neuroendocrinologists.

Indexed as

Autocrine CommunicationEndocrine CellsParacrine CommunicationPituitary GlandAnimalsHumanscell culturecell morphologyexpressionpituitary glandproteomics

Identifiers

PMID42290864
PMCPMC13253263

What OpenQuestion holds

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Registered trials

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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.