Evidence map›Paper›PMID 33162937›Full record

ReviewFrontiers in endocrinology2020

Tissue-Specific GHR Knockout Mice: An Updated Review.

Akash Nagarajan, Hemant Srivastava, Joseph Jablonsky, Liou Y Sun

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Akash NagarajanDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Hemant SrivastavaDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Joseph JablonskyDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
Liou Y SunDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, United States.
University of Alabama at Birmingham · US

Funding

Longevity assurance interventions, metabolic health and Alzheimer's DiseaseR01AG057734 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SUN, LIOU · 2018 to 2022
$2.5M
The effects of early life nutritional and hormonal signals on mammalian aging (Health Disparities Admin Supp)K01AG048264 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SUN, LIOU · 2014 to 2018
$784k
NIA NIH HHS K01 AG048264NIA NIH HHS R01 AG057734
6 · The paper itself

Abstract

Growth hormone (GH) signaling plays a key role in mediating growth, development, metabolism, and lifespan regulation. However, the mechanisms of longevity regulation at the cellular and molecular level are still not well-understood. An important area in the field of GH research is in the development of advanced transgenic systems for conditional expression of GH signaling in a cell type- or tissue-specific manner. There have been many recent studies conducted to examine the effects of tissue-specific GHR disruption. This review updates our previous discussions on this topic and summarizes recent data on the newly-made tissue-specific GHR-KO mice including intestinal epithelial cells, bone, hematopoietic stem cells, cardiac myocytes, and specific brain regions. The data from these new genetically-engineered mice have a significant impact on our understanding of the local GH signaling function.

Indexed as

HomeostasisAnimalsGrowth HormoneLongevityMiceMice, KnockoutOrgan SpecificityReceptors, SomatotropinGrowth HormoneReceptors, Somatotropinaginggrowth hormonelongevitymetabolismmice

Identifiers

PMID33162937
PMCPMC7581730
OpenAlexW3105876690

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.