Evidence map›Paper›PMID 42319153›Full record

ArticleEndocrine connections2026

PERSPECTIVE: Beyond the GH-IGF-1 axis: a network perspective integrating clinical observations and mechanistic insights.

Go Yoshimichi

Abstract read
In one paragraph

Article in Endocrine connections, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

1 author.

Go YoshimichiDepartment of Endocrinology and Metabolism, Shinbeppu Hospital , Beppu, Oita, Japan.ORCID 0000-0003-0293-5881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity encompasses a heterogeneous group of conditions that include not only simple obesity, but also genetic and endocrine disorders. The growth hormone (GH)-insulin-like growth factor 1 (IGF-1) axis plays a central role in body composition, insulin sensitivity, and metabolic regulation. We encountered three patients in whom the clinical courses highlighted distinct interactions between obesity and the GH-IGF-1 axis.

methodsWe reviewed three representative cases. Case 1 involved acromegaly improved by the peroxisome proliferator-activated receptor-α (PPAR-α) agonist pemafibrate. Case 2 involved Prader-Willi syndrome (PWS) with severe obesity treated using dulaglutide. Case 3 involved severe obesity managed with behavioral therapy. Clinical characteristics and therapeutic responses were analyzed.

resultsIn case 1, pemafibrate administration resulted in a marked and sustained reduction in IGF-1 levels despite ongoing lanreotide therapy, suggesting a potential hepatic or pituitary interaction between PPAR-α signaling and GH-IGF-1 regulation. In case 2, dulaglutide induced weight loss and reduced insulin requirements in a patient with PWS, a condition characterized by high levels of ghrelin. The therapeutic effect may involve modulation of ghrelin, an upstream regulator of GH secretion. In case 3, a patient with a body mass index of 50.7 kg/m2, behavioral therapy stabilized metabolic deterioration, even though GH and IGF-1 levels remained low after weight reduction, suggesting mechanisms independent of the GH-IGF-1 axis.

conclusionThese findings support a conceptual shift from a linear GH-IGF-1 axis to an integrated GH-IGF-1 network that connects peripheral signals, hypothalamic regulation, and higher brain functions, offering a novel framework for personalized obesity management.

Indexed as

acromegalybehavioral therapygrowth hormoneheterogeneityinsulin-like growth factor 1networkobesityPrader–Willi syndrome

Identifiers

PMID42319153
PMCPMC13386144

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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.