Evidence map›Paper›PMID 27274461›Full record

ArticleJournal of exercise nutrition & biochemistry2015

Effect of high-intensity exercise and high-fat diet on lipid metabolism in the liver of rats.

MinHwa Suk, YunA Shin

Open access · bronzeAbstract read
In one paragraph

Article in Journal of exercise nutrition & biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

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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 at 1 institution in 1 country.

MinHwa SukCollege of Sports Science, Department of exercise prescription and rehabilitation, Dankook University, Cheonan Republic of Korea.
YunA ShinCollege of Sports Science, Department of exercise prescription and rehabilitation, Dankook University, Cheonan Republic of Korea.
Dankook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated the effects of high-intensity exercise (Ex) and high dietary fat intake on lipid metabolism in the liver of rats.

methodsMale Sprague-Dawley rats were randomly assigned to one of the four groups (n=10 per group) that were maintained on a normal diet (ND) or high-fat diet (HFD) consisting of 30% fat (w/w), with or without exercise on a treadmill at 30 m/min and 8% grade) for 4 weeks (i.e., ND, ND+Ex, HFD, and HFD+Ex groups).

resultsBody weight (p<.001), total plasma cholesterol (TC) (p<.001), triglyceride (TG) (p<.05), and liver TG levels (p<.05) were increased in the HFD group relative to the ND groups, and serum glucose (p<.05), insulin (p<.05), homeostatic model assessment of insulin resistance (HOMA-IR) (p<.01), and liver TG levels (p<.01) were also higher in the HFD group compared to the ND+Ex group. Plasma free fatty acid was elevated in the HFD+Ex group compared to the HFD group (p<.01). With the exception of acetyl coenzyme A carboxylase, the expression of lipid metabolism-related genes in the liver was altered in the Ex groups compared to the control group (p<.05), with genes involved in lipolysis specifically up regulated in the HFD+Ex group compared to the other groups.

conclusionVigorous exercise may increase glucose utilization and fat oxidation by activating genes in the liver that are associated with lipid metabolism compared to that in animals consuming a HFD without exercise. Therefore, high intensity exercise can be considered to counter the adverse effects of high dietary fat intake.

Indexed as

High-fat diethigh-intensity exercise traininglipid metabolismliver

Identifiers

PMID27274461
PMCPMC4886838
OpenAlexW2341587790

What OpenQuestion holds

Textmetadata
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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.