Evidence map›Paper›PMID 24408995›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2014

Transcriptome-wide RNA sequencing analysis of rat skeletal muscle feed arteries. II. Impact of exercise training in obesity.

Jaume Padilla, Nathan T Jenkins, Pamela K Thorne, Jeffrey S Martin, R Scott Rector, J Wade Davis, M Harold Laughlin

Abstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Genetic silencing of KChannels (Austin, Tex.) · 2025
    Article
  3. Article
  4. Article
  5. Interaction of genetic background and exercise training intensity on endothelial function in mouse aorta.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2020
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Exercise training improves vascular mitochondrial function.American journal of physiology. Heart and circulatory physiology · 2016
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Personalized medicine in hematology - A landmark from bench to bed.Computational and structural biotechnology journal · 2014
    Review
  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

7 authors at 3 institutions in 1 country.

Jaume PadillaDepartment of Nutrition and Exercise Physiology, University of Missouri, Columbia, Missouri;
Nathan T Jenkins
Pamela K Thorne
Jeffrey S Martin
R Scott Rector
J Wade Davis
M Harold Laughlin
University of Missouri · USQuinnipiac University · USUniversity of Georgia · US

Funding

TRAINING: MUSCLE BLOOD FLOW &CAPILLARY DYNAMICSR01HL036088 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI LAUGHLIN, M HAROLD · 1985 to 2013
$4.0M
Exercise &Health: Integration from Molecule to PatientT32AR048523 · NIAMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI TERJUNG, RONALD L · 2003 to 2013
$2.5M
NHLBI NIH HHS R01 HL036088NHLBI NIH HHS R01-HL-036088NIAMS NIH HHS T32 AR048523NIAMS NIH HHS T32-AR-048523
6 · The paper itself

Abstract

We employed next-generation RNA sequencing (RNA-Seq) technology to determine the extent to which exercise training alters global gene expression in skeletal muscle feed arteries and aortic endothelial cells of obese Otsuka Long-Evans Tokushima Fatty (OLETF) rats. Transcriptional profiles of the soleus and gastrocnemius muscle feed arteries (SFA and GFA, respectively) and aortic endothelial cell-enriched samples from rats that underwent an endurance exercise training program (EndEx; n = 12) or a interval sprint training program (IST; n = 12) or remained sedentary (Sed; n = 12) were examined. In response to EndEx, there were 39 upregulated (e.g., MANF) and 20 downregulated (e.g., ALOX15) genes in SFA and 1 upregulated (i.e., Wisp2) and 1 downregulated (i.e., Crem) gene in GFA [false discovery rate (FDR) < 10%]. In response to IST, there were 305 upregulated (e.g., MANF, HSPA12B) and 324 downregulated genes in SFA and 101 upregulated and 66 downregulated genes in GFA, with an overlap of 32 genes between arteries. Furthermore, in aortic endothelial cells, there were 183 upregulated (e.g., eNOS, SOD-3) and 141 downregulated (e.g., ATF3, Clec1b, npy, leptin) genes with EndEx and 71 upregulated and 69 downregulated genes with IST, with an overlap of 35 between exercise programs. Expression of only two genes (Tubb2b and Slc9a3r2) was altered (i.e., increased) by exercise in all three arteries. The finding that both EndEx and IST produced greater transcriptional changes in the SFA compared with the GFA is intriguing when considering the fact that treadmill bouts of exercise are associated with greater relative increases in blood flow to the gastrocnemius muscle compared with the soleus muscle.

Indexed as

AnimalsAortaArteriesEndothelial CellsGene Regulatory NetworksMuscle, SkeletalObesityPhysical Conditioning, AnimalPhysical EnduranceRatsRats, Inbred OLETFSequence Analysis, RNATranscriptomeblood flowendurance exercisegene expressioninterval sprint trainingnext-generation sequencingresistance arteries

Identifiers

PMID24408995
PMCPMC4035783
OpenAlexW2009267272

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.