Evidence map›Paper›PMID 15642798›Full record

ArticleThe Journal of endocrinology2005

Temporal profiling of the transcriptional basis for the development of corticosteroid-induced insulin resistance in rat muscle.

Richard R Almon, Debra C Dubois, Jin Y Jin, William J Jusko

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of endocrinology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Glucocorticoid-Induced Fatty Liver Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
  10. Article
  11. Article
  12. Single-Gene Congenic Strain Reveals the Effect ofFrontiers in endocrinology · 2018
    Article
  13. Clinical pathological characteristics of breast cancer patients with secondary diabetes after systemic therapy: a retrospective multicenter study.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Relationships between circadian rhythms and modulation of gene expression by glucocorticoids in skeletal muscle.American journal of physiology. Regulatory, integrative and comparative physiology · 2008
    Article
  20. 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

4 authors at 1 institution in 1 country.

Richard R AlmonDepartment of Biological Sciences, State University of New York at Buffalo, Buffalo, NY 14260, USA. almon@eng.buffalo.edu
Debra C Dubois
Jin Y Jin
William J Jusko
University at Buffalo, State University of New York · US

Funding

Corticosteroid Pharmacokinetics and PharmacodynamicsR37GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 2005 to 2014
$6.4M
CORTICOSTEROID PHARMACOKINETICS/DYNAMICSR01GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 1985 to 2018
$4.7M
A FUNCTIONAL GENOMICS HEART &LUNG DEVELOP. PROGRAMU01HL066614 · NHLBI · CHILDREN'S RESEARCH INSTITUTE · PI HOFFMAN, ERIC P · 2000 to 2003
$3.5M
Computational Approaches to Disease Causes and TreatmentP20GM067650 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ZHANG, AIDONG · 2003 to 2005
$1.2M
NHLBI NIH HHS U01 HL066614NHLBI NIH HHS U01 HL66614NIGMS NIH HHS GM 24211NIGMS NIH HHS GM67650NIGMS NIH HHS P20 GM067650NIGMS NIH HHS R01 GM024211NIGMS NIH HHS R37 GM024211
6 · The paper itself

Abstract

Elevated systemic levels of glucocorticoids are causally related to peripheral insulin resistance. The pharmacological use of synthetic glucocorticoids (corticosteroids) often results in insulin resistance/type II diabetes. Skeletal muscle is responsible for close to 80% of the insulin-induced systemic disposal of glucose and is a major target for glucocorticoid-induced insulin resistance. We used Affymetrix gene chips to profile the dynamic changes in mRNA expression in rat skeletal muscle in response to a single bolus dose of the synthetic glucocorticoid methyl-prednisolone. Temporal expression profiles (analyzed on individual chips) were obtained from tissues of 48 drug-treated animals encompassing 16 time points over 72 h following drug administration along with four vehicle-treated controls. Data mining identified 653 regulated probe sets out of 8799 present on the chip. Of these 653 probe sets we identified 29, which represented 22 gene transcripts, that were associated with the development of insulin resistance. These 29 probe sets were regulated in three fundamental temporal patterns. 16 probe sets coding for 12 different genes had a profile of enhanced expression. 10 probe sets coding for eight different genes showed decreased expression and three probe sets coding for two genes showed biphasic temporal signatures. These transcripts were grouped into four general functional categories: signal transduction, transcription regulation, carbohydrate/fat metabolism, and regulation of blood flow to the muscle. The results demonstrate the polygenic nature of transcriptional changes associated with insulin resistance that can provide a temporal scaffolding for translational and post-translational data as they become available.

Indexed as

Transcription, GeneticAnimalsGene ExpressionGlucocorticoidsInsulin ResistanceMaleMethylprednisoloneMuscle, SkeletalOligonucleotide Array Sequence AnalysisRatsRats, WistarTime FactorsGlucocorticoidsMethylprednisolone

Identifiers

PMID15642798
PMCPMC2574435
OpenAlexW2109781781

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.