Evidence map›Paper›PMID 30545442›Full record

ReviewBMB reports2019

Growth signaling and longevity in mouse models.

Seung-Soo Kim, Cheol-Koo Lee

Abstract readReview
In one paragraph

Review in BMB reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Small-molecule IGF1R inhibitors extend healthspan in a mouse model.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
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  7. Review
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  11. Review
  12. Review
  13. Hormesis in Health and Chronic Diseases.Trends in endocrinology and metabolism: TEM · 2019
    Review
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

2 authors.

Seung-Soo KimInstitute of Animal Molecular Biotechnology, Korea University, Seoul 02841, Korea.
Cheol-Koo LeeInstitute of Animal Molecular Biotechnology, Korea University, Seoul 02841; Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02481, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reduction of insulin/insulin-like growth factor 1 (IGF1) signaling (IIS) extends the lifespan of various species. So far, several longevity mouse models have been developed containing mutations related to growth signaling deficiency by targeting growth hormone (GH), IGF1, IGF1 receptor, insulin receptor, and insulin receptor substrate. In addition, p70 ribosomal protein S6 kinase 1 (S6K1) knockout leads to lifespan extension. S6K1 encodes an important kinase in the regulation of cell growth. S6K1 is regulated by mechanistic target of rapamycin (mTOR) complex 1. The v-myc myelocytomatosis viral oncogene homolog (MYC)-deficient mice also exhibits a longevity phenotype. The gene expression profiles of these mice models have been measured to identify their longevity mechanisms. Here, we summarize our knowledge of long-lived mouse models related to growth and discuss phenotypic characteristics, including organ-specific gene expression patterns. [BMB Reports 2019; 52(1): 70-85].

Indexed as

AnimalsCell ProliferationDisease Models, AnimalGene ExpressionGrowth HormoneInsulin-Like Growth Factor IInsulin Receptor Substrate ProteinsLongevityMechanistic Target of Rapamycin Complex 1MiceModels, AnimalPhosphorylationProto-Oncogene Proteins c-aktReceptor, IGF Type 1Receptor, InsulinRibosomal Protein S6 Kinases, 70-kDaGrowth Hormoneinsulin-like growth factor-1, mouseInsulin-Like Growth Factor IInsulin Receptor Substrate ProteinsMechanistic Target of Rapamycin Complex 1Proto-Oncogene Proteins c-aktReceptor, IGF Type 1Receptor, InsulinRibosomal Protein S6 Kinases, 70-kDaTOR Serine-Threonine Kinases

Identifiers

PMID30545442
PMCPMC6386229

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.