Evidence map›Paper›PMID 27028000›Full record

ArticleCell cycle (Georgetown, Tex.)2016

Mitogenic signaling pathways in the liver of growth hormone (GH)-overexpressing mice during the growth period.

Carolina S Martinez, Verónica G Piazza, Lorena González, Yimin Fang, Andrzej Bartke, Daniel Turyn, Johanna G Miquet, Ana I Sotelo

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Hormonal Contribution to Liver Regeneration.Mayo Clinic proceedings. Innovations, quality & outcomes · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Carolina S Martineza Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Verónica G Piazzaa Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Lorena Gonzáleza Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Yimin Fangb Department of Geriatrics (A.B.) , School of Medicine, Southern Illinois University , Springfield , IL , USA.
Andrzej Bartkeb Department of Geriatrics (A.B.) , School of Medicine, Southern Illinois University , Springfield , IL , USA.
Daniel Turyna Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Johanna G Miqueta Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Ana I Soteloa Instituto de Química y Fisicoquímica Biológicas (UBA-CONICET), Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica , Buenos Aires , Argentina.
Instituto de Química y Fisicoquímica Biológicas · ARUniversity of Buenos Aires · ARSouthern Illinois University School of Medicine · US

Funding

Longevity genes and calorie restriction: early post-natal effectsR01AG019899 · NIA · SOUTHERN ILLINOIS UNIVERSITY SCH OF MED · PI BARTKE, ANDRZEJ · 2001 to 2016
$6.1M
NIA NIH HHS AG019899
6 · The paper itself

Abstract

Growth hormone (GH) is a pleiotropic hormone that triggers STATs, ERK1/2 and Akt signaling, related to cell growth and proliferation. Transgenic mice overexpressing GH present increased body size, with a disproportionate liver enlargement due to hypertrophy and hyperplasia of the hepatocytes. We had described enhanced mitogenic signaling in liver of young adult transgenic mice. We now evaluate the activation of these signaling cascades during the growth period and relate them to the morphological alterations found. Signaling mediators, cell cycle regulators and transcription factors involved in cellular growth in the liver of GH-overexpressing growing mice were assessed by immunoblotting, RT-qPCR and immunohistochemistry. Hepatocyte enlargement can be seen as early as 2-weeks of age in GH-overexpressing animals, although it is more pronounced in young adults. Levels of cell cycle mediators PCNA and cyclin D1, and transcription factor c-Jun increase with age in transgenic mice with no changes in normal mice, whereas c-Myc levels are higher in 2-week-old transgenic animals and cyclin E levels decline with age for both genotypes. STAT3, Akt and GSK3 present higher activation in the adult transgenic mice than in the growing animals, while for c-Src and mTOR, phosphorylation in GH-overexpressing mice is higher than in control siblings at 4 and 9 weeks of age. No significant changes are observed for ERK1/2, neither by age or genotype. Thus, the majority of the mitogenic signaling pathways are gradually up-regulated in the liver of GH-transgenic mice, giving rise to the hepatic morphological changes these mice exhibit.

Indexed as

AnimalsExtracellular Signal-Regulated MAP KinasesFemaleGrowth HormoneLiverMaleMice, Inbred C3HMice, Inbred C57BLMice, TransgenicMitosisOrgan SizeProto-Oncogene Proteins c-aktSignal TransductionSTAT3 Transcription FactorExtracellular Signal-Regulated MAP KinasesGrowth HormoneProto-Oncogene Proteins c-aktStat3 protein, mouseSTAT3 Transcription FactorAkt/mTOR/GSK3βcell cycle regulatorsc-Junc-MycERK1/2GH-overexpressing miceGrowth hormonehepatomegalyliverPCNASTAT3

Identifiers

PMID27028000
PMCPMC4845918
OpenAlexW2327526029

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.